27 files changed, 4318 insertions, 0 deletions
diff --git a/Documents.qrc b/Documents.qrc
new file mode 100755
index 0000000..3d325ee
--- /dev/null
+++ b/Documents.qrc
@@ -0,0 +1,14 @@
+<RCC>
+    <qresource prefix="/resource">
+        <file>resources/R1.txt</file>
+        <file>resources/R2.txt</file>
+        <file>resources/R3.txt</file>
+        <file>resources/R4.txt</file>
+        <file>resources/R5.txt</file>
+        <file>resources/R6.txt</file>
+        <file>resources/R7.txt</file>
+        <file>resources/R8.txt</file>
+        <file>resources/R9.txt</file>
+        <file>resources/R10.txt</file>
+    </qresource>
+</RCC>
diff --git a/Ex.pro b/Ex.pro
new file mode 100755
index 0000000..1232ac8
--- /dev/null
+++ b/Ex.pro
@@ -0,0 +1,45 @@
+QT       += core gui charts
+
+greaterThan(QT_MAJOR_VERSION, 4): QT += widgets
+
+CONFIG += c++11
+
+# You can make your code fail to compile if it uses deprecated APIs.
+# In order to do so, uncomment the following line.
+#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000    # disables all the APIs deprecated before Qt 6.0.0
+
+INCLUDEPATH += \
+    "C:/Program Files/boost/boost_1_76_0" \
+    C:/Users/k_and/AppData/Local/Programs/Python/Python38-32/include
+
+LIBS += \
+    -L"C:\Program Files\boost\boost_1_76_0\stage\x86\lib" \
+    -LC:/Users/k_and/AppData/Local/Programs/Python/Python38-32/libs
+
+SOURCES += \
+    detectionalgorithm.cpp \
+    lineEdit.cpp \
+    main.cpp \
+    mainwindow.cpp \
+    utilities.cpp
+
+HEADERS += \
+    detectionalgorithm.h \
+    lineEdit.h \
+    mainwindow.h \
+    utilities.h
+
+FORMS += \
+    mainwindow.ui
+
+# Default rules for deployment.
+qnx: target.path = /tmp/$${TARGET}/bin
+else: unix:!android: target.path = /opt/$${TARGET}/bin
+!isEmpty(target.path): INSTALLS += target
+
+DISTFILES +=
+
+RESOURCES += \
+    Documents.qrc
+
+
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..6fc782a
--- /dev/null
+++ b/README.md
@@ -0,0 +1,141 @@
+# Artificial Text Detection
+
+This project is based on my Master's thesis:  
+> **"Алгоритм выявления искусственно созданных текстов"**  
+> Nizhny Novgorod State Technical University, 2021  
+> Author: Andrey Kuznetsov
+
+It is a C++/Qt-based application designed to detect artificially generated
+scientific texts (e.g., SCIgen outputs). The detection method is based on
+analyzing the internal stylistic consistency of the document using unsupervised
+clustering and rank correlation metrics.
+
+<img src="screen_1.png" />
+
+<img src="screen_2.png" />
+
+<img src="screen_3.png" />
+
+
+## Project Overview
+
+The program processes input text, splits it into fragments, builds a vector
+space using N-gram features, computes a pairwise distance matrix using
+Spearman rank correlation, and applies clustering to detect stylistic
+discontinuities. Such discontinuities are often present in machine-generated
+texts.
+
+## Technologies Used
+
+- **C++17**
+- **Qt 5 (Widgets, Charts, QThread)**
+- **Boost Libraries**:  
+  - `boost::python` and `boost::python::numpy` for C++/Python bridge
+- **Python 3**  
+  - `numpy`, `scikit-learn`, `scikit-learn-extra`
+
+## Features
+
+- **Flexible Text Input**
+    - Manual text input via editor
+    - File selection via file dialog
+    - **Drag and drop** support for `.txt` files
+
+- **Text Preprocessing**
+    - Removes stop words, non-letter symbols, repeated spaces
+    - Converts to lowercase
+
+- **N-Gram Extraction and Dictionary Building**
+    - Extracts N-grams (min N=2; max N set via UI)
+    - Builds global dictionary from fragments
+    - Performs percentile-based feature selection
+
+- **Vector Space Model Construction**
+    - Vectorizes fragments based on N-gram frequencies
+    - Computes document-fragment-feature structure: `vector<vector<vector<int>>>`
+
+- **Distance Calculation Using Rank Correlation**
+    - Calculates pairwise distance matrix between fragments using **Spearman correlation**
+    - Computes average rank dependence (`ZVT`) using windowed comparisons
+
+- **Matrix Normalization**
+    - Normalizes matrix shape by padding with zeros for clustering
+
+- **Unsupervised Clustering with Python**
+    - Supports: **K-Medoids**, **K-Means**, **Agglomerative Clustering**
+    - Clustering is performed using Python (`scikit-learn`, `scikit-learn-extra`)
+    - Data exchange is handled via `Boost.Python` + `Boost.NumPy`
+
+- **C++ ⇄ Python Integration**
+    - Converts C++ matrix to Python `numpy.ndarray`
+    - Calls clustering methods from Python module `mymodule.py`
+    - Extracts prediction labels back into C++
+
+- **Visual Output**
+    - Scatter charts for predicted vs. real document labels
+    - Color-coded clusters in real-time UI
+
+- **Multithreaded Execution with Progress Bar**
+    - GUI remains responsive via `QThread`
+    - Shows status using `QProgressDialog`
+
+##  Algorithm Pipeline (Detailed)
+
+1. **Text Input**
+    - User provides text via input box, file dialog, or drag-and-drop.
+    - Text is stored in `target_doc`.
+
+2. **Preprocessing** (`prepare()`)
+    - Removes stop words (prepositions, conjunctions, etc.)
+    - Removes all characters except letters and spaces
+    - Removes repeated characters (e.g., spaces)
+    - Converts text to lowercase
+
+3. **Fragmentation**
+    - Text is split into equal-length chunks based on UI parameters
+
+4. **N-Gram Extraction**
+    - Combines all documents into a single corpus
+    - Calculates N-grams for N from 2 up to max N (from UI)
+    - Uses a sliding window algorithm
+    - Aggregates results into a dictionary
+
+5. **N-Gram Filtering**
+    - Selects N-grams above 90th percentile of frequency
+    - Saves filtered list to a text file
+
+6. **Vector Space Modeling**
+    - For each document, for each fragment:
+    - Computes vector of N-gram frequencies via `freq_in_chunk()`
+    - Produces nested structure of frequency vectors
+
+7. **Rank Correlation (Spearman's rho)**
+    - Calculates rank correlation distance between fragment vectors:  
+        ρ = 1 - (6 * ∑ d_i^2) / (n(n^2 - 1))
+
+    - Implemented via `zv_calc()` and `correlation()`
+
+8. **Average Rank Dependence**
+    - Computes `ZVT` values for each fragment (based on 10 previous)
+    - Combines `ZVT` into full pairwise distance matrix
+
+9. **Matrix Padding**
+    - Matrix may have uneven rows; padded with zeros to square shape
+
+10. **C++ to Python Transfer**
+    - Converts distance matrix to NumPy arrays using `Boost.NumPy`
+    - Initializes embedded Python interpreter
+    - Calls `mymodule.py::{kmedoids, kmeans, agglClus}`
+    - Extracts prediction results
+
+11. **Post-Processing Results**
+    - Splits results into clusters for artificial vs. input document
+    - Compares distributions:
+        - If both match → **Artificial text**
+        - If different → **Human-written text**
+
+12. **Visualization & UI**
+    - Result shown in message box
+    - Prediction charts drawn with `QChartView`
+
+
diff --git a/detectionalgorithm.cpp b/detectionalgorithm.cpp
new file mode 100755
index 0000000..eda909e
--- /dev/null
+++ b/detectionalgorithm.cpp
@@ -0,0 +1,321 @@
+#include "detectionalgorithm.h"
+#include "utilities.h"
+#include <QScatterSeries>
+#include <QChart>
+#include <QChartView>
+#include <QtWidgets/QHBoxLayout>
+#include <QDebug>
+#include <stdexcept>
+#include <QTime>
+
+DetectionAlgorithm::DetectionAlgorithm()
+    :
+      QObject(),
+      chunk_size(400),
+      n_gram(5),
+      target_doc(),
+      human_chunks_count(0),
+      robot_chunks(NUMBER_OF_GROUPS),
+      total_robot_chunks(0),
+      freq_of_robot_ngramm(NUMBER_OF_GROUPS),
+      selection_alg(0)
+{
+
+}
+
+void DetectionAlgorithm::setOptions(int chunk, int n_g, const std::string& d, int select)
+{
+    chunk_size = chunk;
+    n_gram = n_g;
+    target_doc = d;
+    selection_alg = select;
+}
+
+void DetectionAlgorithm::run_algorithm()
+{
+
+    QTime t;
+    t.start();
+    QApplication::processEvents();
+    using std::string;
+    using std::vector;
+    std::ifstream file;
+    for (int i = 0; i < NUMBER_OF_GROUPS; ++i) {
+        QFile file(":resource/R" + QString::number(i+1) + ".txt");
+        if (!file.open(QIODevice::ReadOnly)) {
+            qWarning("Cannot open file for reading");
+        }
+        QTextStream in(&file);
+        QString q_doc;
+        while (!in.atEnd())
+            q_doc = in.readAll();
+        file.close();
+        std::string rob_doc = q_doc.toLocal8Bit().constData();
+        prepare(rob_doc);
+        robot_docs.push_back(rob_doc);
+    }
+    prepare(target_doc);
+
+    for (int i = 0; i < NUMBER_OF_GROUPS; ++i) {
+        robot_chunks_count.push_back(robot_docs[i].size() / chunk_size);
+        string temp;
+        string::iterator it;
+        int j;
+        for (it = robot_docs[i].begin(), j = 1; it != robot_docs[i].end(); ++it, ++j) {
+            temp += *it;
+            if (!(j % chunk_size)) {
+                robot_chunks[i].push_back(temp);
+                temp.clear();
+            }
+        }
+        temp.clear();
+    }
+
+    emit value(1);
+
+    string::iterator it;
+    int j = 0;
+    string build_chunk;
+    human_chunks_count = target_doc.size() / chunk_size;
+    int a = target_doc.size();
+    qDebug() << a;
+    for (it = target_doc.begin(), j = 1; it != target_doc.end(); ++it, ++j) {
+        build_chunk += *it;
+        if (!(j % chunk_size)) {
+            human_chunks.push_back(build_chunk);
+            build_chunk.clear();
+        }
+    }
+    try {
+        if (human_chunks_count < 11)
+            throw std::logic_error("wrong size of text, using " + std::to_string(human_chunks_count));
+    }  catch (std::logic_error& e) {
+        qDebug() << e.what();
+        emit terminate();
+    }
+
+    for (int i : robot_chunks_count) total_robot_chunks += i;
+
+    for (int i = 0; i < total_robot_chunks-100; ++i)
+        real_lable.push_back(1);
+    for (int i = 0; i < human_chunks_count-10; ++i)
+        real_lable.push_back(0);
+
+    string doc;
+    for (const std::string& st : robot_docs) 	doc += st;
+    doc += target_doc;
+
+    emit value(2);
+
+    n_gram_calc(doc, n_gram);
+
+    std::ifstream dictionary_file("dictionary.txt");
+    string temp;
+    while (std::getline(dictionary_file, temp)) {
+        dictionary.push_back(temp);
+    }
+    dictionary_file.close();
+
+    for (int i = 0; i < NUMBER_OF_GROUPS; ++i) {
+        std::vector<std::string>::iterator it;
+
+        for (it = robot_chunks[i].begin(); it != robot_chunks[i].end(); ++it)
+            freq_of_robot_ngramm[i].push_back(freq_in_chunk(*it, dictionary));
+    }
+
+    for (vector<string>::iterator chunk_iter = human_chunks.begin(); chunk_iter != human_chunks.end(); ++chunk_iter)
+        freq_of_human_ngramm.push_back(freq_in_chunk(*chunk_iter, dictionary));
+
+    emit value(3);
+
+    vector <vector<double>> dzv_matrix;
+    vector <double> row;
+
+    /*for the robot docs 1*/
+    for (int i = 0; i < NUMBER_OF_GROUPS; ++i) {
+        for (int j = T; j < robot_chunks_count[i]; ++j) {
+            for (int k = 0; k < NUMBER_OF_GROUPS; ++k)
+                if (i != k)
+                    for (int n = T; n < robot_chunks_count[k]; ++n)
+                        row.push_back(
+                                    dzv_calc(
+                                        T, freq_of_robot_ngramm[i][j],
+                                        freq_of_robot_ngramm[k][n],
+                                        j, n,
+                                        freq_of_robot_ngramm[i],
+                                        freq_of_robot_ngramm[k]
+                                        ));
+
+            /*for all the other docs*/
+            for (int n = T; n < human_chunks_count; ++n)
+                row.push_back(
+                            dzv_calc(
+                                T, freq_of_robot_ngramm[i][j],
+                                freq_of_human_ngramm[n],
+                                j, n,
+                                freq_of_robot_ngramm[i],
+                                freq_of_human_ngramm
+                                ));
+            dzv_matrix.push_back(row);
+            row.clear();
+
+        }
+    }
+
+    /*for the human docs*/
+    for (int j = T; j < human_chunks_count; ++j) {
+        /*for all the other docs*/
+        for (int k = 0; k < NUMBER_OF_GROUPS; ++k)
+            for (int n = T; n < robot_chunks_count[k]; ++n)
+                row.push_back(
+                            dzv_calc(
+                                T, freq_of_human_ngramm[j],
+                                freq_of_robot_ngramm[k][n],
+                                j, n,
+                                freq_of_human_ngramm,
+                                freq_of_robot_ngramm[k]
+                                ));
+        dzv_matrix.push_back(row);
+        row.clear();
+
+    }
+
+//    ///*write matrix with const columns 1*/
+
+    std::ofstream write_matrix("matrix.txt");
+    unsigned int colums = dzv_matrix[0].size();
+    std::for_each(dzv_matrix.begin(), dzv_matrix.end(),
+                  [&colums](vector<double>& col) mutable {
+        if (col.size() > colums) colums = col.size();
+    });
+    for (vector<double> v : dzv_matrix) {
+        for (unsigned int i = 0; i < v.size(); ++i) {
+            write_matrix << v[i];
+            if (i != (v.size() - 1))
+                write_matrix << ' ';
+        }
+        for (unsigned int j = 0; j < colums - v.size(); ++j) {
+            write_matrix << ' ' << 0;
+            if (j != (colums - v.size() - 1))
+                write_matrix << ' ';
+        }
+        write_matrix << '\n';
+    }
+    write_matrix.close();
+
+    /*reading from text 1*/
+
+    std::ifstream infile("matrix.txt");
+    std::string line;
+    while (getline(infile, line)) {
+        std::istringstream is(line);
+        dzv.push_back(
+                    std::vector<double>(std::istream_iterator<double>(is),
+                                        std::istream_iterator<double>()));
+    }
+    infile.close();
+
+    emit value(4);
+
+    std::vector<int> prediction_array;
+
+    /*using boost*/
+    namespace bn = boost::python::numpy;
+    namespace bp = boost::python;
+    _putenv_s("PYTHONPATH", ".");
+    Py_Initialize();
+    bn::initialize();
+    try
+    {
+        bp::object my_python_class_module = bp::import("mymodule");
+
+        int n_rows = dzv.size();
+
+        bp::list total;
+        for (int i = 0; i < n_rows; ++i) {
+            bp::tuple shape = bp::make_tuple(dzv[i].size());
+            bn::dtype dtype = bn::dtype::get_builtin<double>();
+            bn::ndarray py_mas = bn::zeros(shape, dtype);
+            //vector<double>::iterator it = dzv[i].begin();
+            for (size_t j = 0; j < dzv[i].size(); ++j)
+                py_mas[j] = dzv[i][j];
+            total.append(py_mas);
+        }
+        bn::ndarray array = bn::from_object(total);
+        const char* algorithm = nullptr;
+        switch (selection_alg) {
+        case 0:
+            algorithm = "kmedoids";
+            break;
+        case 1:
+            algorithm = "kmeans";
+            break;
+        case 2:
+            algorithm = "agglClus";
+            break;
+        default:
+            algorithm = "kmedoids";
+        }
+        auto result = my_python_class_module.attr(algorithm)(array);
+        auto result_array = bp::extract<bn::ndarray>(result);
+        const bn::ndarray& ret = result_array();
+        int input_size = ret.shape(0);
+        int* input_ptr = reinterpret_cast<int*>(ret.get_data());
+        for (int i = 0; i < input_size; ++i)
+            prediction_array.push_back(*(input_ptr + i));
+    }
+    catch (const bp::error_already_set&)
+    {
+        PyErr_Print();
+        qWarning("py error");
+    }
+
+    Py_Finalize();
+
+    /**
+     * using QCharts to show results
+     */
+    QList<QPointF> pred_first_class, pred_second_class, real_first, real_second;
+    for (size_t i = 0; i < dzv.size(); ++i){
+        if(prediction_array[i])
+            pred_first_class << QPointF(dzv[i][0], dzv[i][1]);
+        else
+            pred_second_class << QPointF(dzv[i][0], dzv[i][1]);
+        (real_lable[i]) ? real_first << QPointF(dzv[i][0], dzv[i][1]) :
+                          real_second << QPointF(dzv[i][0], dzv[i][1]);
+    }
+
+    /**
+     * class membership calculation
+     */
+    /**
+     * for robot docs
+     */
+    std::vector<int>::iterator end_robot_it = prediction_array.begin()+(total_robot_chunks-100);
+    int zero_robot_count = std::count(prediction_array.begin(),
+                                end_robot_it,
+                                0);
+    int one_robot_count = std::count(prediction_array.begin(),
+                                     end_robot_it,
+                                     1);
+    int rob_clus = 0, ret_clus = 0;
+    (one_robot_count > zero_robot_count) ?  rob_clus = 1 : rob_clus = 0;
+
+    /**
+     * for retrieved doc
+     */
+    int zero_ret_count = std::count(end_robot_it+1,
+                                prediction_array.end(),
+                                0);
+    int one_ret_count = std::count(end_robot_it+1,
+                                     prediction_array.end(),
+                                     1);
+    (one_ret_count > zero_ret_count) ?  ret_clus = 1 : ret_clus = 0;
+
+
+    qDebug() << t.elapsed();
+
+    emit value(5);
+    emit run_result(rob_clus, ret_clus);
+    emit run_chart(pred_first_class, pred_second_class, real_first, real_second);
+}
diff --git a/detectionalgorithm.h b/detectionalgorithm.h
new file mode 100755
index 0000000..ac1ec58
--- /dev/null
+++ b/detectionalgorithm.h
@@ -0,0 +1,63 @@
+#ifndef DETECTIONALGORITHM_H
+#define DETECTIONALGORITHM_H
+#include <iostream>
+#include <fstream>
+#include <string>
+#include <vector>
+#include <algorithm>
+#include <map>
+#include <iterator>
+#include <QProgressDialog>
+#include <QObject>
+#include <sstream>
+#include <QFile>
+#include <QString>
+#include <QTextStream>
+#include <QApplication>
+#include <QCoreApplication>
+#include <QList>
+#include <QPointF>
+
+#define BOOST_LOCALE_HIDE_AUTO_PTR
+#define BOOST_BIND_NO_PLACEHOLDERS
+#pragma push_macro("slots")
+#undef slots
+#include <boost/python/numpy.hpp>
+#include <boost/python.hpp>
+#pragma pop_macro("slots")
+
+class DetectionAlgorithm : public QObject
+{
+    Q_OBJECT
+public:
+    //DetectionAlgorithm(int chunk_size = 1000, int n_gram = 5, const std::string& d = nullptr);
+    DetectionAlgorithm();
+    ~DetectionAlgorithm(){  }
+    void setOptions(int chunk = 1000, int n_g = 5, const std::string& d = nullptr, int select = 0);
+private:
+    const static int T = 10, NUMBER_OF_GROUPS = 10;
+    int chunk_size, n_gram;
+    std::string target_doc;
+    std::vector<std::string> robot_docs;
+    std::vector<int> robot_chunks_count;
+    int human_chunks_count;
+    std::vector<std::vector<std::string>> robot_chunks;
+    std::vector<std::string> human_chunks;
+    int total_robot_chunks;
+    std::vector <int> real_lable;
+    std::string doc;
+    std::vector<std::string> dictionary;
+    std::vector<std::vector<std::vector<int>>>freq_of_robot_ngramm;
+    std::vector<std::vector<int>>freq_of_human_ngramm;
+    std::vector<std::vector<double>> dzv;
+    int selection_alg;
+signals:
+    void value(int);
+    void run_chart(QList<QPointF>, QList<QPointF>, QList<QPointF>, QList<QPointF>);
+    void run_result(int, int);
+    void terminate();
+public slots:
+    void run_algorithm();
+};
+
+#endif // DETECTIONALGORITHM_H
diff --git a/lineEdit.cpp b/lineEdit.cpp
new file mode 100755
index 0000000..d01c6b2
--- /dev/null
+++ b/lineEdit.cpp
@@ -0,0 +1,28 @@
+#include "lineEdit.h"
+#include "QFileDialog"
+#include <QTextStream>
+#include <QFile>
+
+
+Line_edit::Line_edit(QWidget *parent) : QLineEdit(parent), drop_document()
+{
+    setAcceptDrops(true);
+}
+
+void Line_edit::dragEnterEvent(QDragEnterEvent *event)
+{
+    event->accept();
+}
+
+void Line_edit::dropEvent(QDropEvent *event)
+{
+    QString filePath = event->mimeData()->urls()[0].toLocalFile();
+    setText(filePath);
+    QFile file(filePath);
+    if (!file.open(QIODevice::ReadOnly))
+        qWarning("Cannot open file for reading");
+    QTextStream in(&file);
+    while (!in.atEnd())
+        drop_document += in.readAll();
+    file.close();
+}
diff --git a/lineEdit.h b/lineEdit.h
new file mode 100755
index 0000000..f03eec0
--- /dev/null
+++ b/lineEdit.h
@@ -0,0 +1,26 @@
+#ifndef LINEEDIT_H
+#define LINEEDIT_H
+
+#endif // LINEEDIT_H
+#include "QLineEdit"
+#include <QDragEnterEvent>
+#include <QMimeData>
+#include <QDropEvent>
+#include <QWidget>
+
+class Line_edit : public QLineEdit{
+
+    Q_OBJECT
+
+public:
+    explicit Line_edit(QWidget * parent = 0);
+    ~Line_edit(){}
+
+    //Метод события перетаскивания
+    virtual void dragEnterEvent(QDragEnterEvent* event) override;
+    //Метод события отпускания объекта с данными
+    virtual void dropEvent(QDropEvent *event) override;
+public:
+    //документ, загруженный через drag n drop
+    QString drop_document;
+};
diff --git a/main.cpp b/main.cpp
new file mode 100755
index 0000000..aff48df
--- /dev/null
+++ b/main.cpp
@@ -0,0 +1,11 @@
+#include "mainwindow.h"
+
+#include <QApplication>
+
+int main(int argc, char *argv[])
+{
+    QApplication a(argc, argv);
+    MainWindow w;
+    w.show();
+    return a.exec();
+}
diff --git a/mainwindow.cpp b/mainwindow.cpp
new file mode 100755
index 0000000..50860a7
--- /dev/null
+++ b/mainwindow.cpp
@@ -0,0 +1,182 @@
+#include "mainwindow.h"
+#include "ui_mainwindow.h"
+#include "QFileDialog"
+#include <QTextStream>
+#include <QFile>
+#include <QDebug>
+#include <QMessageBox>
+
+MainWindow::MainWindow(QWidget *parent)
+    : QMainWindow(parent),
+      ui(new Ui::MainWindow),
+      target_doc()
+{
+    ui->setupUi(this);
+    thread = new QThread(this);
+    alg = new DetectionAlgorithm();
+    chart_window = new QWidget();
+}
+
+MainWindow::~MainWindow()
+{
+    delete ui;
+
+}
+
+
+void MainWindow::on_file_button_clicked()
+{
+    QString filename = QFileDialog::getOpenFileName(this, "Open File",
+                                                    ui->set_line->text(),
+                                                    "Text Files(*.txt)");
+    if(!filename.isEmpty())
+        ui->set_line->setText((filename));
+    QFile file(filename);
+    if (!file.open(QIODevice::ReadOnly))
+        qWarning("Cannot open file for reading");
+    QTextStream in(&file);
+    while (!in.atEnd())
+        target_doc += in.readAll();
+    file.close();
+}
+
+void MainWindow::on_analysys_push_button_clicked()
+{
+
+        alg = new DetectionAlgorithm();
+
+        thread = new QThread(this);
+    std::string current_locale_text;
+
+    qRegisterMetaType<QList<QPointF>>("QList<QPointF>");
+    if(!ui->textEdit->toPlainText().isEmpty()){
+        target_doc = ui->textEdit->toPlainText();
+        current_locale_text = target_doc.toLocal8Bit().constData();
+    }
+    else if(!ui->set_line->drop_document.isEmpty()){
+        current_locale_text = ui->set_line->drop_document.toLocal8Bit().constData();
+    }
+    else if (!target_doc.isEmpty()){
+        current_locale_text = target_doc.toLocal8Bit().constData();
+    }
+
+    alg->setOptions(ui->buttonGroup_1->checkedButton()->text().toInt(),
+                    ui->buttonGroup_2->checkedButton()->text().toInt(),
+                    current_locale_text,
+                    ui->comboBox->currentIndex());
+
+    alg->moveToThread(thread);
+    QObject::connect(this, SIGNAL(run()), alg, SLOT(run_algorithm()));
+    QObject::connect(thread, SIGNAL(started()), SLOT(show_dialog()));
+    QObject::connect(alg, SIGNAL(terminate()), SLOT(slotCancel()));
+    QObject::connect(alg, SIGNAL(run_result(int, int)), SLOT(show_result(int, int)));
+
+    QObject::connect(alg, SIGNAL(run_chart(QList<QPointF>, QList<QPointF>,
+                                           QList<QPointF>, QList<QPointF>)),
+                     SLOT(show_chart(QList<QPointF>, QList<QPointF>,
+                                     QList<QPointF>, QList<QPointF>)));
+
+    thread->start();
+    ui->set_line->drop_document = QString();
+    ui->set_line->clear();
+    target_doc = QString();
+}
+
+//connect(alg->dialog, SIGNAL(canceled()), SLOT(slotCancel()));
+
+
+void MainWindow::slotCancel()
+{
+    thread->quit();
+    thread->wait();
+    delete thread;
+    alg->~DetectionAlgorithm();
+}
+
+void MainWindow::show_dialog()
+{
+    QProgressDialog* dialog = new QProgressDialog("Идет выполнение операции", "Cancel", 0, 5);
+    QObject::connect(alg, SIGNAL(value(int)), dialog, SLOT(setValue(int)));
+    QObject::connect(dialog, SIGNAL(canceled()), this, SLOT(slotCancel()));
+    dialog->setWindowModality(Qt::WindowModal);
+    QApplication::processEvents();
+
+    dialog->setMinimumDuration(0);
+    dialog->setWindowTitle("Пожалуйста, подождите");
+    emit run();
+}
+
+void MainWindow::show_chart(QList<QPointF> pred_first, QList<QPointF> pred_second,
+                            QList<QPointF> real_first, QList<QPointF> real_second)
+{
+    QtCharts::QChartView* real_chartView = new QtCharts::QChartView(chart_window);
+    QtCharts::QChartView* pred_chartView = new QtCharts::QChartView(chart_window);
+    QHBoxLayout* hl = new QHBoxLayout();
+    hl->addWidget(real_chartView);
+    hl->addWidget(pred_chartView);
+    chart_window->setLayout(hl);
+
+    QtCharts::QChart *real_chart = new QtCharts::QChart();
+    QtCharts::QChart *pred_chart = new QtCharts::QChart();
+
+    QtCharts::QScatterSeries *real_series1 = new QtCharts::QScatterSeries();
+    real_series1->setName("robot documents");
+    real_series1->setMarkerShape(QtCharts::QScatterSeries::MarkerShapeCircle);
+    real_series1->setMarkerSize(10.0);
+    real_series1->append(real_first);
+    real_series1->setColor(Qt::blue);
+    QtCharts::QScatterSeries *real_series2 = new QtCharts::QScatterSeries();
+    real_series2->setName("received document");
+    real_series2->setMarkerShape(QtCharts::QScatterSeries::MarkerShapeCircle);
+    real_series2->setMarkerSize(10.0);
+    real_series2->append(real_second);
+    real_series2->setColor(Qt::red);
+
+    real_chart->addSeries(real_series1);
+    real_chart->addSeries(real_series2);
+    real_chart->setTitle("real labels");
+    real_chart->createDefaultAxes();
+    real_chart->setDropShadowEnabled(false);
+    real_chart->legend()->setMarkerShape(QtCharts::QLegend::MarkerShapeFromSeries);
+
+    QtCharts::QScatterSeries *pred_series1 = new QtCharts::QScatterSeries();
+    pred_series1->setName("1 class");
+    pred_series1->setMarkerShape(QtCharts::QScatterSeries::MarkerShapeCircle);
+    pred_series1->setMarkerSize(10.0);
+    pred_series1->append(pred_first);
+    pred_series1->setColor(Qt::blue);
+    QtCharts::QScatterSeries *pred_series2 = new QtCharts::QScatterSeries();
+    pred_series2->setName("2 class");
+    pred_series2->setMarkerShape(QtCharts::QScatterSeries::MarkerShapeCircle);
+    pred_series2->setMarkerSize(10.0);
+    pred_series2->append(pred_second);
+    pred_series2->setColor(Qt::red);
+
+    pred_chart->addSeries(pred_series1);
+    pred_chart->addSeries(pred_series2);
+    pred_chart->setTitle("prediction");
+    pred_chart->createDefaultAxes();
+    pred_chart->setDropShadowEnabled(false);
+    pred_chart->legend()->setMarkerShape(QtCharts::QLegend::MarkerShapeFromSeries);
+
+    pred_chartView->setChart(pred_chart);
+    real_chartView->setChart(real_chart);
+
+    chart_window->setMinimumSize(900, 600);
+    chart_window->show();
+    thread->quit();
+    thread->wait();
+    delete thread;
+    alg->~DetectionAlgorithm();
+}
+
+void MainWindow::show_result(int rob, int ret)
+{
+    QMessageBox::StandardButton info;
+
+    if (rob != ret)
+        info = QMessageBox::information(this, "Результат", "human text", QMessageBox::Ok);
+    else
+        info = QMessageBox::information(this, "Результат","artifical text", QMessageBox::Ok);
+
+}
diff --git a/mainwindow.h b/mainwindow.h
new file mode 100755
index 0000000..8862cf5
--- /dev/null
+++ b/mainwindow.h
@@ -0,0 +1,43 @@
+#ifndef MAINWINDOW_H
+#define MAINWINDOW_H
+
+#include <QMainWindow>
+#include <string>
+#include "detectionalgorithm.h"
+#include <QThread>
+#include <QtCharts>
+
+QT_BEGIN_NAMESPACE
+namespace Ui { class MainWindow; }
+QT_END_NAMESPACE
+
+class MainWindow : public QMainWindow
+{
+    Q_OBJECT
+
+public:
+    MainWindow(QWidget *parent = nullptr);
+    ~MainWindow();
+
+signals:
+    void run();
+
+public slots:
+    //загрузка файла
+    void on_file_button_clicked();
+    //запуск алгоритма для анализа текста
+    void on_analysys_push_button_clicked();
+    void slotCancel();
+    void show_dialog();
+    void show_chart(QList<QPointF> pred_first, QList<QPointF> pred_second,
+                    QList<QPointF> real_first, QList<QPointF> real_second);
+    void show_result(int rob, int ret);
+
+private:
+    Ui::MainWindow *ui;
+    QString target_doc;
+    DetectionAlgorithm *alg;
+    QThread *thread;
+    QWidget *chart_window;
+};
+#endif // MAINWINDOW_H
diff --git a/mainwindow.ui b/mainwindow.ui
new file mode 100755
index 0000000..f533c26
--- /dev/null
+++ b/mainwindow.ui
@@ -0,0 +1,301 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<ui version="4.0">
+ <class>MainWindow</class>
+ <widget class="QMainWindow" name="MainWindow">
+  <property name="geometry">
+   <rect>
+    <x>0</x>
+    <y>0</y>
+    <width>519</width>
+    <height>423</height>
+   </rect>
+  </property>
+  <property name="windowTitle">
+   <string>MainWindow</string>
+  </property>
+  <widget class="QWidget" name="centralwidget">
+   <layout class="QVBoxLayout" name="verticalLayout_2">
+    <item>
+     <layout class="QVBoxLayout" name="verticalLayout">
+      <item>
+       <widget class="QTabWidget" name="tabWidget">
+        <property name="currentIndex">
+         <number>2</number>
+        </property>
+        <widget class="QWidget" name="input_text">
+         <attribute name="title">
+          <string>Ввод текста</string>
+         </attribute>
+         <layout class="QHBoxLayout" name="horizontalLayout_2">
+          <item>
+           <widget class="QTextEdit" name="textEdit"/>
+          </item>
+         </layout>
+        </widget>
+        <widget class="QWidget" name="load_doc">
+         <attribute name="title">
+          <string>Загрузить документ</string>
+         </attribute>
+         <layout class="QVBoxLayout" name="verticalLayout_3">
+          <item>
+           <layout class="QHBoxLayout" name="horizontalLayout">
+            <item>
+             <widget class="QPushButton" name="file_button">
+              <property name="text">
+               <string>Выбрать файл</string>
+              </property>
+             </widget>
+            </item>
+            <item>
+             <widget class="Line_edit" name="set_line">
+              <property name="readOnly">
+               <bool>true</bool>
+              </property>
+             </widget>
+            </item>
+           </layout>
+          </item>
+         </layout>
+        </widget>
+        <widget class="QWidget" name="options">
+         <attribute name="title">
+          <string>Параметры</string>
+         </attribute>
+         <layout class="QVBoxLayout" name="verticalLayout_7">
+          <item>
+           <layout class="QVBoxLayout" name="verticalLayout_6">
+            <item>
+             <widget class="QLabel" name="label_3">
+              <property name="sizePolicy">
+               <sizepolicy hsizetype="Preferred" vsizetype="Maximum">
+                <horstretch>0</horstretch>
+                <verstretch>0</verstretch>
+               </sizepolicy>
+              </property>
+              <property name="text">
+               <string>Выбор метода кластеризации</string>
+              </property>
+              <property name="alignment">
+               <set>Qt::AlignBottom|Qt::AlignLeading|Qt::AlignLeft</set>
+              </property>
+              <property name="margin">
+               <number>0</number>
+              </property>
+             </widget>
+            </item>
+            <item>
+             <widget class="QComboBox" name="comboBox">
+              <property name="sizePolicy">
+               <sizepolicy hsizetype="Fixed" vsizetype="Fixed">
+                <horstretch>0</horstretch>
+                <verstretch>0</verstretch>
+               </sizepolicy>
+              </property>
+              <property name="currentText">
+               <string>Метод K-medoids</string>
+              </property>
+              <property name="currentIndex">
+               <number>0</number>
+              </property>
+              <property name="insertPolicy">
+               <enum>QComboBox::NoInsert</enum>
+              </property>
+              <item>
+               <property name="text">
+                <string>Метод K-medoids</string>
+               </property>
+              </item>
+              <item>
+               <property name="text">
+                <string>Метод K-means</string>
+               </property>
+              </item>
+             </widget>
+            </item>
+           </layout>
+          </item>
+          <item>
+           <layout class="QVBoxLayout" name="verticalLayout_4">
+            <item>
+             <widget class="QLabel" name="label">
+              <property name="sizePolicy">
+               <sizepolicy hsizetype="Preferred" vsizetype="Maximum">
+                <horstretch>0</horstretch>
+                <verstretch>0</verstretch>
+               </sizepolicy>
+              </property>
+              <property name="text">
+               <string>Максимальная длина  N-грамм</string>
+              </property>
+              <property name="textFormat">
+               <enum>Qt::AutoText</enum>
+              </property>
+              <property name="scaledContents">
+               <bool>false</bool>
+              </property>
+              <property name="alignment">
+               <set>Qt::AlignBottom|Qt::AlignLeading|Qt::AlignLeft</set>
+              </property>
+              <property name="wordWrap">
+               <bool>false</bool>
+              </property>
+              <property name="buddy">
+               <cstring>tabWidget</cstring>
+              </property>
+             </widget>
+            </item>
+            <item>
+             <widget class="QRadioButton" name="ngram_radioButton_1">
+              <property name="text">
+               <string>3</string>
+              </property>
+              <property name="checked">
+               <bool>true</bool>
+              </property>
+              <attribute name="buttonGroup">
+               <string notr="true">buttonGroup_2</string>
+              </attribute>
+             </widget>
+            </item>
+            <item>
+             <widget class="QRadioButton" name="ngram_radio_button_2">
+              <property name="text">
+               <string>4</string>
+              </property>
+              <property name="checkable">
+               <bool>true</bool>
+              </property>
+              <property name="checked">
+               <bool>false</bool>
+              </property>
+              <attribute name="buttonGroup">
+               <string notr="true">buttonGroup_2</string>
+              </attribute>
+             </widget>
+            </item>
+            <item>
+             <widget class="QRadioButton" name="ngram_radio_button_3">
+              <property name="text">
+               <string>5</string>
+              </property>
+              <attribute name="buttonGroup">
+               <string notr="true">buttonGroup_2</string>
+              </attribute>
+             </widget>
+            </item>
+           </layout>
+          </item>
+          <item>
+           <layout class="QVBoxLayout" name="verticalLayout_5">
+            <item>
+             <widget class="QLabel" name="label_2">
+              <property name="sizePolicy">
+               <sizepolicy hsizetype="Preferred" vsizetype="Maximum">
+                <horstretch>0</horstretch>
+                <verstretch>0</verstretch>
+               </sizepolicy>
+              </property>
+              <property name="text">
+               <string>Размерность фрагментов (в символах)</string>
+              </property>
+              <property name="alignment">
+               <set>Qt::AlignBottom|Qt::AlignLeading|Qt::AlignLeft</set>
+              </property>
+             </widget>
+            </item>
+            <item>
+             <widget class="QRadioButton" name="chunk_radio_button_1">
+              <property name="text">
+               <string>200</string>
+              </property>
+              <attribute name="buttonGroup">
+               <string notr="true">buttonGroup_1</string>
+              </attribute>
+             </widget>
+            </item>
+            <item>
+             <widget class="QRadioButton" name="chunk_radio_button_2">
+              <property name="text">
+               <string>400</string>
+              </property>
+              <property name="checked">
+               <bool>true</bool>
+              </property>
+              <attribute name="buttonGroup">
+               <string notr="true">buttonGroup_1</string>
+              </attribute>
+             </widget>
+            </item>
+            <item>
+             <widget class="QRadioButton" name="chunk_radio_button_3">
+              <property name="text">
+               <string>600</string>
+              </property>
+              <attribute name="buttonGroup">
+               <string notr="true">buttonGroup_1</string>
+              </attribute>
+             </widget>
+            </item>
+           </layout>
+          </item>
+         </layout>
+        </widget>
+       </widget>
+      </item>
+     </layout>
+    </item>
+    <item>
+     <layout class="QHBoxLayout" name="horizontalLayout_3">
+      <item>
+       <widget class="QPushButton" name="analysys_push_button">
+        <property name="text">
+         <string>Анализ</string>
+        </property>
+       </widget>
+      </item>
+      <item>
+       <widget class="QPushButton" name="pushButton">
+        <property name="sizePolicy">
+         <sizepolicy hsizetype="Fixed" vsizetype="Fixed">
+          <horstretch>0</horstretch>
+          <verstretch>0</verstretch>
+         </sizepolicy>
+        </property>
+        <property name="text">
+         <string>Очистить</string>
+        </property>
+        <property name="flat">
+         <bool>false</bool>
+        </property>
+       </widget>
+      </item>
+     </layout>
+    </item>
+   </layout>
+  </widget>
+  <widget class="QMenuBar" name="menubar">
+   <property name="geometry">
+    <rect>
+     <x>0</x>
+     <y>0</y>
+     <width>519</width>
+     <height>20</height>
+    </rect>
+   </property>
+  </widget>
+  <widget class="QStatusBar" name="statusbar"/>
+ </widget>
+ <customwidgets>
+  <customwidget>
+   <class>Line_edit</class>
+   <extends>QLineEdit</extends>
+   <header location="global">lineEdit.h</header>
+  </customwidget>
+ </customwidgets>
+ <resources/>
+ <connections/>
+ <buttongroups>
+  <buttongroup name="buttonGroup_2"/>
+  <buttongroup name="buttonGroup_1"/>
+ </buttongroups>
+</ui>
diff --git a/mymodule.py b/mymodule.py
new file mode 100755
index 0000000..0e6e259
--- /dev/null
+++ b/mymodule.py
@@ -0,0 +1,19 @@
+import numpy as np
+from sklearn_extra.cluster import KMedoids
+from sklearn.svm import OneClassSVM
+
+def featureSelection(x):
+    return np.percentile(x, np.arange(10,100,10))
+
+def MyFunc(t_end):
+    print (t_end)
+    kmedoids = KMedoids (n_clusters = 2, random_state = 0).fit(t_end)
+    result = kmedoids.labels_
+    print(result)
+    return result
+ 
+def SVM(X):
+    clf = OneClassSVM(kernel = 'rbf', gamma=0.01, nu=0.4).fit(X)
+    print(clf.predict(X))
+    
+    
+\ No newline at end of file
diff --git a/resources/R1.txt b/resources/R1.txt
new file mode 100755
index 0000000..0dc6738
--- /dev/null
+++ b/resources/R1.txt
@@ -0,0 +1,95 @@
+Simulating Journaling File Systems and Scatter/Gather I/O
+Abstract
+The location-identity split must work. After years of theoretical research into SMPs, we argue the development of write-ahead logging, which embodies the key principles of networking. We concentrate our efforts on validating that the well-known secure algorithm for the emulation of architecture by Wilson and Jackson is impossible.
+Table of Contents
+1) Introduction
+2) Principles
+3) Implementation
+4) Evaluation
+4.1) Hardware and Software Configuration
+4.2) Dogfooding Our Heuristic
+5) Related Work
+6) Conclusion
+1  Introduction
+Unified highly-available configurations have led to many private advances, including the Ethernet and architecture. Nevertheless, an important riddle in algorithms is the synthesis of red-black trees. The notion that information theorists interact with the location-identity split is continuously well-received. To what extent can hash tables be visualized to fix this obstacle?
+Our focus in this paper is not on whether the location-identity split can be made ubiquitous, concurrent, and large-scale, but rather on describing a methodology for expert systems (InlyYin). Next, we view hardware and architecture as following a cycle of four phases: analysis, prevention, creation, and deployment. This is an important point to understand. for example, many algorithms locate Lamport clocks [24]. It should be noted that our heuristic runs in O(n) time, without synthesizing scatter/gather I/O. this is an important point to understand. we emphasize that InlyYin allows highly-available epistemologies. As a result, we prove that even though linked lists can be made cacheable, embedded, and distributed, multi-processors can be made "fuzzy", probabilistic, and cacheable.
+An appropriate solution to solve this problem is the refinement of erasure coding. Without a doubt, we emphasize that InlyYin learns hierarchical databases. While related solutions to this problem are bad, none have taken the game-theoretic method we propose in this position paper. Obviously, we see no reason not to use XML to measure forward-error correction.
+In this position paper, we make three main contributions. For starters, we show that although information retrieval systems can be made psychoacoustic, omniscient, and amphibious, the little-known heterogeneous algorithm for the evaluation of expert systems by Lee is recursively enumerable. Second, we argue that gigabit switches and systems can synchronize to accomplish this purpose. We verify that the seminal modular algorithm for the exploration of write-ahead logging by M. Gupta [3] is maximally efficient.
+The roadmap of the paper is as follows. We motivate the need for operating systems. Further, we argue the visualization of thin clients. We place our work in context with the related work in this area. Ultimately, we conclude.
+2  Principles
+InlyYin relies on the unfortunate framework outlined in the recent much-touted work by Taylor et al. in the field of homogeneous steganography. Further, Figure 1 details the architectural layout used by InlyYin. Any extensive emulation of lambda calculus will clearly require that Web services can be made constant-time, wireless, and omniscient; our application is no different. Therefore, the framework that our algorithm uses is unfounded.
+Figure 1: InlyYin's cooperative storage.
+Consider the early architecture by Zhao; our framework is similar, but will actually surmount this question. Though it might seem unexpected, it usually conflicts with the need to provide IPv6 to theorists. We hypothesize that Internet QoS and flip-flop gates are never incompatible. This is a robust property of InlyYin. Next, rather than improving the theoretical unification of wide-area networks and the partition table, our algorithm chooses to request erasure coding. This is a structured property of our methodology.
+Figure 2: The relationship between InlyYin and 802.11b [6].
+Reality aside, we would like to evaluate a framework for how our algorithm might behave in theory. This is a key property of InlyYin. Furthermore, InlyYin does not require such a compelling observation to run correctly, but it doesn't hurt. We consider a system consisting of n linked lists. This seems to hold in most cases. We hypothesize that the well-known atomic algorithm for the deployment of DNS by Juris Hartmanis [4] is Turing complete. This is a robust property of our framework. Figure 1 diagrams the relationship between InlyYin and adaptive configurations. The question is, will InlyYin satisfy all of these assumptions? The answer is yes.
+3  Implementation
+In this section, we introduce version 6d of InlyYin, the culmination of days of optimizing [23]. We have not yet implemented the codebase of 89 Lisp files, as this is the least unproven component of InlyYin. Along these same lines, experts have complete control over the collection of shell scripts, which of course is necessary so that virtual machines and spreadsheets [19] are generally incompatible. Overall, InlyYin adds only modest overhead and complexity to related amphibious solutions [4].
+4  Evaluation
+Evaluating complex systems is difficult. We desire to prove that our ideas have merit, despite their costs in complexity. Our overall evaluation strategy seeks to prove three hypotheses: (1) that expert systems no longer adjust performance; (2) that tape drive speed behaves fundamentally differently on our network; and finally (3) that context-free grammar no longer toggles system design. We are grateful for parallel randomized algorithms; without them, we could not optimize for simplicity simultaneously with complexity. Continuing with this rationale, unlike other authors, we have decided not to study complexity. Our evaluation strives to make these points clear.
+4.1  Hardware and Software Configuration
+Figure 3: The 10th-percentile work factor of our methodology, compared with the other heuristics.
+We modified our standard hardware as follows: we carried out a simulation on our "fuzzy" cluster to prove the topologically psychoacoustic behavior of Bayesian communication. To start off with, we quadrupled the average bandwidth of our planetary-scale testbed [19]. We removed 10kB/s of Internet access from our Planetlab overlay network to discover methodologies. Configurations without this modification showed weakened expected response time. We removed 7MB of ROM from our desktop machines to prove lazily stochastic archetypes's effect on the work of Japanese complexity theorist T. Sun. Configurations without this modification showed improved time since 1935. Continuing with this rationale, we halved the effective USB key speed of our desktop machines. While it at first glance seems unexpected, it is buffetted by prior work in the field. Similarly, we added more flash-memory to our sensor-net cluster. Lastly, we doubled the 10th-percentile time since 2004 of our system [15].
+Figure 4: The expected instruction rate of our system, compared with the other algorithms.
+When R. Milner hacked Ultrix's effective code complexity in 1953, he could not have anticipated the impact; our work here attempts to follow on. Our experiments soon proved that extreme programming our Macintosh SEs was more effective than monitoring them, as previous work suggested. All software components were compiled using AT&T System V's compiler built on J. Smith's toolkit for computationally investigating power strips [24]. On a similar note, all software was compiled using AT&T System V's compiler linked against modular libraries for exploring IPv4. All of these techniques are of interesting historical significance; Noam Chomsky and Stephen Hawking investigated a similar system in 1935.
+4.2  Dogfooding Our Heuristic
+Figure 5: The effective distance of InlyYin, as a function of signal-to-noise ratio.
+Figure 6: The average work factor of InlyYin, compared with the other solutions.
+We have taken great pains to describe out evaluation setup; now, the payoff, is to discuss our results. That being said, we ran four novel experiments: (1) we ran 27 trials with a simulated database workload, and compared results to our earlier deployment; (2) we deployed 17 Macintosh SEs across the planetary-scale network, and tested our semaphores accordingly; (3) we ran web browsers on 79 nodes spread throughout the sensor-net network, and compared them against wide-area networks running locally; and (4) we ran 15 trials with a simulated RAID array workload, and compared results to our middleware simulation. We discarded the results of some earlier experiments, notably when we compared latency on the FreeBSD, MacOS X and AT&T System V operating systems.
+Now for the climactic analysis of the first two experiments. We scarcely anticipated how inaccurate our results were in this phase of the performance analysis. Gaussian electromagnetic disturbances in our network caused unstable experimental results. Further, the many discontinuities in the graphs point to degraded signal-to-noise ratio introduced with our hardware upgrades.
+We next turn to experiments (3) and (4) enumerated above, shown in Figure 6 [17]. Note that object-oriented languages have less discretized flash-memory space curves than do autonomous superblocks. Error bars have been elided, since most of our data points fell outside of 39 standard deviations from observed means. The curve in Figure 3 should look familiar; it is better known as H(n) = ( logn + logn ).
+Lastly, we discuss the second half of our experiments. These effective hit ratio observations contrast to those seen in earlier work [8], such as Andrew Yao's seminal treatise on checksums and observed median power. Second, these interrupt rate observations contrast to those seen in earlier work [11], such as Stephen Hawking's seminal treatise on symmetric encryption and observed effective flash-memory throughput. Furthermore, we scarcely anticipated how precise our results were in this phase of the evaluation approach.
+5  Related Work
+In designing InlyYin, we drew on previous work from a number of distinct areas. The little-known application by Thomas [10] does not control the emulation of journaling file systems as well as our method. InlyYin is broadly related to work in the field of Markov modular robotics by M. Frans Kaashoek et al. [18], but we view it from a new perspective: low-energy epistemologies [15]. In general, our application outperformed all related solutions in this area [18].
+Though we are the first to introduce Internet QoS in this light, much prior work has been devoted to the visualization of cache coherence [13]. Our heuristic also analyzes adaptive communication, but without all the unnecssary complexity. A recent unpublished undergraduate dissertation explored a similar idea for interposable configurations. Our solution is broadly related to work in the field of machine learning by Williams et al., but we view it from a new perspective: the UNIVAC computer. Even though Bhabha and Sato also presented this approach, we visualized it independently and simultaneously [7]. It remains to be seen how valuable this research is to the networking community. All of these approaches conflict with our assumption that the investigation of forward-error correction and the refinement of massive multiplayer online role-playing games are appropriate [21,9,22].
+While we know of no other studies on the refinement of IPv4, several efforts have been made to develop randomized algorithms. We had our approach in mind before A. Gupta et al. published the recent little-known work on voice-over-IP [2]. We had our approach in mind before Zhao and White published the recent little-known work on the construction of hierarchical databases [1,16]. Nevertheless, without concrete evidence, there is no reason to believe these claims. Though we have nothing against the prior approach by Niklaus Wirth et al. [14], we do not believe that approach is applicable to multimodal complexity theory [20,21].
+6  Conclusion
+Our experiences with our methodology and fiber-optic cables argue that the famous optimal algorithm for the development of hierarchical databases by Robert Floyd [12] runs in W( loglog loglogn ) time [5]. InlyYin is able to successfully simulate many linked lists at once. Next, one potentially minimal drawback of InlyYin is that it cannot measure SCSI disks; we plan to address this in future work. Such a hypothesis at first glance seems unexpected but often conflicts with the need to provide extreme programming to computational biologists. To answer this question for the construction of kernels, we motivated a novel algorithm for the evaluation of Internet QoS. Next, our design for emulating write-back caches is famously significant. Thusly, our vision for the future of theory certainly includes InlyYin.
+References
+[1]
+Abiteboul, S., Feigenbaum, E., Ito, a., Agarwal, R., Sasaki, C., Papadimitriou, C., Lampson, B., Harris, X., Morrison, R. T., Milner, R., Johnson, Y., Jacobson, V., Sun, F., and Iverson, K. A case for the Turing machine. In Proceedings of the Conference on Concurrent, Signed Theory (Dec. 1996).
+[2]
+Abiteboul, S., Reddy, R., and Suzuki, S. E-business considered harmful. Journal of Autonomous, Introspective Modalities 77 (June 2005), 78-94.
+[3]
+Codd, E., Backus, J., Lamport, L., Qian, W., and Gayson, M. Deconstructing cache coherence using TwaySaheb. In Proceedings of the Conference on Read-Write Configurations (Dec. 1999).
+[4]
+Fredrick P. Brooks, J., Li, P., Wirth, N., Hawking, S., Brooks, R., and Newell, A. A case for the producer-consumer problem. Journal of Concurrent Archetypes 24 (Oct. 2002), 59-66.
+[5]
+Hawking, S., Gayson, M., Li, a., and Cocke, J. Developing red-black trees and vacuum tubes. Journal of Wireless, Event-Driven Configurations 55 (Dec. 2001), 153-195.
+[6]
+Hoare, C. Byzantine fault tolerance no longer considered harmful. Tech. Rep. 4437-702, MIT CSAIL, Mar. 1999.
+[7]
+Hopcroft, J., Perlis, A., Suzuki, D., and Daubechies, I. On the essential unification of spreadsheets and semaphores. In Proceedings of SIGGRAPH (Jan. 1990).
+[8]
+Jones, Z., and Lampson, B. Decoupling robots from model checking in cache coherence. In Proceedings of HPCA (June 1994).
+[9]
+Karp, R., and Tanenbaum, A. Object-oriented languages considered harmful. OSR 50 (Mar. 1999), 70-95.
+[10]
+Kumar, a., Suryanarayanan, S., and Dijkstra, E. A methodology for the emulation of sensor networks. NTT Technical Review 12 (Nov. 2005), 75-89.
+[11]
+Lakshminarayanan, K. Synthesizing XML using modular symmetries. Journal of Semantic, Empathic Communication 73 (Jan. 2005), 76-85.
+[12]
+Leary, T., and Li, G. The lookaside buffer considered harmful. In Proceedings of ECOOP (Aug. 2000).
+[13]
+Leary, T., Milner, R., and Erdֳ–S, P. Mascot: Embedded symmetries. In Proceedings of HPCA (Oct. 2002).
+[14]
+Nehru, X., Jackson, M., Corbato, F., and Li, I. Deconstructing telephony. Journal of Automated Reasoning 93 (Sept. 2001), 20-24.
+[15]
+Newton, I., and Shamir, A. Acacin: Extensible, distributed methodologies. In Proceedings of WMSCI (Jan. 2004).
+[16]
+Qian, S., Clarke, E., Thompson, V., and Patterson, D. A case for Markov models. In Proceedings of the Conference on Virtual, Homogeneous Models (June 1992).
+[17]
+Robinson, Q., Thompson, I., Floyd, R., Wilson, a., Garcia, I. S., and Quinlan, J. Agents considered harmful. In Proceedings of the Conference on Decentralized, Bayesian Algorithms (June 2004).
+[18]
+Sampath, V. The impact of virtual methodologies on electrical engineering. In Proceedings of OOPSLA (Apr. 1996).
+[19]
+Tanenbaum, A., and Shenker, S. Contrasting the Internet and consistent hashing using Outstrip. In Proceedings of MICRO (Sept. 2000).
+[20]
+Thomas, U. Deconstructing e-business using Saut. In Proceedings of NSDI (Jan. 2002).
+[21]
+Wang, a., and Rivest, R. IPv6 no longer considered harmful. In Proceedings of VLDB (Feb. 1986).
+[22]
+White, Z. Refining cache coherence using wireless technology. In Proceedings of the Workshop on Authenticated, Cooperative Information (May 2004).
+[23]
+Williams, M., and Agarwal, R. The effect of cooperative algorithms on algorithms. In Proceedings of MOBICOM (Aug. 1996).
+[24]
+Wilson, H. Cacheable, omniscient methodologies. In Proceedings of SIGCOMM (Aug. 2000).
+\ No newline at end of file
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+----------------------------------------------------------------------
+
+Visualizing Suffix Trees and Simulated Annealing
+Abstract
+Many analysts would agree that, had it not been for local-area networks,
+the study of randomized algorithms might never have occurred. After years
+of technical research into model checking, we verify the evaluation of
+Lamport clocks, which embodies the practical principles of electrical
+engineering. We construct a novel algorithm for the typical unification of
+Internet QoS and forward-error correction, which we call GamyAnn.
+Table of Contents
+1) Introduction
+2) Real-Time Models
+3) Implementation
+4) Results and Analysis
+* 4.1) Hardware and Software Configuration
+* 4.2) Experimental Results
+5) Related Work
+* 5.1) A* Search
+* 5.2) Scheme
+6) Conclusion
+1  Introduction
+The refinement of wide-area networks is a robust obstacle. Even though
+existing solutions to this question are promising, none have taken the
+authenticated solution we propose here. It should be noted that our
+heuristic enables metamorphic information. Thusly, randomized algorithms
+and rasterization synchronize in order to accomplish the structured
+unification of architecture and red-black trees. Such a claim might seem
+unexpected but fell in line with our expectations.
+In order to address this grand challenge, we use encrypted epistemologies
+to confirm that cache coherence can be made introspective, electronic, and
+modular. We view programming languages as following a cycle of four
+phases: exploration, study, management, and development. Without a doubt,
+the basic tenet of this solution is the exploration of digital-to-analog
+converters. For example, many heuristics manage the producer-consumer
+problem. This is an important point to understand. this combination of
+properties has not yet been explored in prior work.
+The contributions of this work are as follows. We disconfirm not only that
+compilers can be made permutable, read-write, and robust, but that the
+same is true for congestion control [2]. On a similar note, we argue that
+neural networks can be made amphibious, constant-time, and secure. We
+concentrate our efforts on demonstrating that vacuum tubes and superblocks
+are always incompatible. In the end, we present a novel methodology for
+the understanding of architecture (GamyAnn), arguing that e-commerce can
+be made electronic, lossless, and pseudorandom.
+The rest of this paper is organized as follows. We motivate the need for 2
+bit architectures. Furthermore, to fulfill this ambition, we confirm that
+the seminal stable algorithm for the confirmed unification of
+reinforcement learning and 32 bit architectures by Z. Watanabe [2] is in
+Co-NP [2,4,44,18]. We prove the deployment of architecture. Finally, we
+conclude.
+2  Real-Time Models
+The properties of GamyAnn depend greatly on the assumptions inherent in
+our model; in this section, we outline those assumptions. We instrumented
+a 2-year-long trace validating that our model is not feasible. Our
+methodology does not require such a technical management to run correctly,
+but it doesn't hurt. Therefore, the framework that our system uses is not
+feasible.
+	 dia0.png 
+Figure 1: The relationship between our approach and optimal archetypes.
+On a similar note, our system does not require such a private
+investigation to run correctly, but it doesn't hurt. We assume that each
+component of our system synthesizes large-scale algorithms, independent of
+all other components. The architecture for our methodology consists of
+four independent components: suffix trees, reinforcement learning,
+cooperative technology, and wireless algorithms. This seems to hold in
+most cases. Rather than controlling the exploration of DHCP, GamyAnn
+chooses to request interposable theory. This is an unfortunate property of
+GamyAnn.
+	 dia1.png 
+Figure 2: A novel solution for the analysis of cache coherence.
+Reality aside, we would like to improve a design for how GamyAnn might
+behave in theory. This seems to hold in most cases. We scripted a
+week-long trace showing that our methodology is solidly grounded in
+reality. This may or may not actually hold in reality. We show the
+relationship between GamyAnn and pseudorandom archetypes in Figure 2. See
+our prior technical report [22] for details.
+3  Implementation
+Our methodology requires root access in order to allow model checking.
+Though we have not yet optimized for usability, this should be simple once
+we finish programming the homegrown database. Since GamyAnn refines the
+improvement of linked lists, without exploring web browsers, designing the
+server daemon was relatively straightforward. Continuing with this
+rationale, we have not yet implemented the hacked operating system, as
+this is the least practical component of our method. Of course, this is
+not always the case. We plan to release all of this code under Microsoft's
+Shared Source License.
+4  Results and Analysis
+Building a system as unstable as our would be for naught without a
+generous evaluation approach. We desire to prove that our ideas have
+merit, despite their costs in complexity. Our overall evaluation seeks to
+prove three hypotheses: (1) that we can do a whole lot to affect an
+application's work factor; (2) that we can do much to toggle an
+application's energy; and finally (3) that the World Wide Web no longer
+adjusts ROM space. We are grateful for noisy checksums; without them, we
+could not optimize for complexity simultaneously with power. Furthermore,
+we are grateful for independently discrete expert systems; without them,
+we could not optimize for simplicity simultaneously with work factor. Our
+logic follows a new model: performance really matters only as long as
+performance takes a back seat to security constraints. Although such a
+claim at first glance seems perverse, it has ample historical precedence.
+We hope to make clear that our microkernelizing the atomic software
+architecture of our mesh network is the key to our performance analysis.
+4.1  Hardware and Software Configuration
+   figure0.png 
+Figure 3: Note that interrupt rate grows as work factor decreases - a phenomenon
+worth exploring in its own right.
+Our detailed performance analysis mandated many hardware modifications. We
+executed a hardware simulation on Intel's system to measure the work of
+French complexity theorist Richard Stallman. To start off with, we removed
+some RAM from our underwater testbed. We halved the signal-to-noise ratio
+of our network. This configuration step was time-consuming but worth it in
+the end. We quadrupled the seek time of Intel's network. Finally,
+cryptographers removed 3GB/s of Internet access from our planetary-scale
+cluster to investigate the effective RAM throughput of Intel's
+planetary-scale testbed.
+   figure1.png 
+Figure 4: The mean bandwidth of GamyAnn, compared with the other methods
+   [28,42,22].
+We ran GamyAnn on commodity operating systems, such as Coyotos and Amoeba
+Version 9c, Service Pack 0. our experiments soon proved that
+microkernelizing our Knesis keyboards was more effective than
+microkernelizing them, as previous work suggested. All software was hand
+assembled using Microsoft developer's studio with the help of Y. Suzuki's
+libraries for opportunistically investigating LISP machines. Next, we made
+all of our software is available under a Microsoft-style license.
+4.2  Experimental Results
+   figure2.png 
+Figure 5: The 10th-percentile energy of our heuristic, compared with the other
+  applications.
+   figure3.png 
+Figure 6: The median sampling rate of GamyAnn, as a function of sampling rate.
+We have taken great pains to describe out performance analysis setup; now,
+the payoff, is to discuss our results. Seizing upon this ideal
+configuration, we ran four novel experiments: (1) we ran 37 trials with a
+simulated DHCP workload, and compared results to our middleware emulation;
+(2) we compared median power on the Multics, Mach and TinyOS operating
+systems; (3) we measured instant messenger and database throughput on our
+cacheable overlay network; and (4) we asked (and answered) what would
+happen if randomly randomly Markov gigabit switches were used instead of
+checksums. All of these experiments completed without the black smoke that
+results from hardware failure or access-link congestion [44].
+We first explain experiments (3) and (4) enumerated above. Note that
+B-trees have more jagged signal-to-noise ratio curves than do autonomous
+thin clients. Of course, all sensitive data was anonymized during our
+hardware emulation. Further, we scarcely anticipated how precise our
+results were in this phase of the evaluation approach.
+We have seen one type of behavior in Figures 5 and 5; our other
+experiments (shown in Figure 4) paint a different picture. The data in
+Figure 5, in particular, proves that four years of hard work were wasted
+on this project. Similarly, error bars have been elided, since most of our
+data points fell outside of 91 standard deviations from observed means. We
+leave out these results until future work. On a similar note, of course,
+all sensitive data was anonymized during our software emulation [25,20].
+Lastly, we discuss all four experiments. We scarcely anticipated how
+precise our results were in this phase of the evaluation strategy [12].
+The many discontinuities in the graphs point to duplicated mean response
+time introduced with our hardware upgrades. Furthermore, the results come
+from only 4 trial runs, and were not reproducible.
+5  Related Work
+In designing our method, we drew on previous work from a number of
+distinct areas. The original method to this problem by Thomas et al. was
+adamantly opposed; on the other hand, such a claim did not completely
+overcome this issue [28]. Furthermore, although Harris and Martin also
+constructed this approach, we refined it independently and simultaneously
+[28]. We believe there is room for both schools of thought within the
+field of electrical engineering. A litany of prior work supports our use
+of the evaluation of context-free grammar. This work follows a long line
+of previous heuristics, all of which have failed [6]. Bose and Zhao
+suggested a scheme for synthesizing IPv7, but did not fully realize the
+implications of the evaluation of journaling file systems at the time.
+Though we have nothing against the related method by Robinson, we do not
+believe that solution is applicable to cryptography [46]. This is arguably
+fair.
+5.1  A* Search
+A number of related approaches have constructed certifiable
+epistemologies, either for the exploration of Web services [38,49,23,8] or
+for the deployment of Internet QoS. GamyAnn also prevents the exploration
+of RPCs, but without all the unnecssary complexity. Charles Bachman et al.
+[10,23,19] suggested a scheme for investigating erasure coding, but did
+not fully realize the implications of distributed methodologies at the
+time [5]. The well-known system by Davis does not locate XML as well as
+our method [14]. Instead of architecting the analysis of multicast
+frameworks [7,17], we fulfill this intent simply by architecting
+psychoacoustic algorithms. Obviously, comparisons to this work are
+idiotic. Raman and Wu and Johnson et al. [34] explored the first known
+instance of the exploration of evolutionary programming. In this paper, we
+answered all of the challenges inherent in the existing work. These
+heuristics typically require that 802.11b can be made interposable,
+introspective, and reliable, and we validated in this paper that this,
+indeed, is the case.
+GamyAnn builds on existing work in autonomous information and random
+software engineering. The original solution to this question by Garcia was
+well-received; however, such a claim did not completely solve this
+quandary. On a similar note, unlike many related methods [26], we do not
+attempt to create or observe the exploration of simulated annealing [49].
+A recent unpublished undergraduate dissertation [32] motivated a similar
+idea for the visualization of RPCs [27,42,13]. In the end, note that our
+algorithm is NP-complete; obviously, our system is NP-complete [15,30,35].
+5.2  Scheme
+While we know of no other studies on thin clients, several efforts have
+been made to emulate operating systems [48,37,9]. G. Nehru et al. [3]
+suggested a scheme for synthesizing operating systems, but did not fully
+realize the implications of self-learning symmetries at the time. On the
+other hand, the complexity of their method grows inversely as access
+points grows. New secure algorithms [40] proposed by R. Tarjan fails to
+address several key issues that our system does surmount [47,24]. This
+work follows a long line of prior algorithms, all of which have failed
+[41]. GamyAnn is broadly related to work in the field of software
+engineering by Ron Rivest et al., but we view it from a new perspective:
+self-learning algorithms [29,11,36,33]. Despite the fact that this work
+was published before ours, we came up with the solution first but could
+not publish it until now due to red tape. A recent unpublished
+undergraduate dissertation [29] presented a similar idea for interrupts
+[8]. We plan to adopt many of the ideas from this related work in future
+versions of our framework.
+While we know of no other studies on cache coherence, several efforts have
+been made to harness linked lists [45]. Similarly, Shastri and Bose
+constructed several mobile approaches, and reported that they have great
+effect on the simulation of access points [39,16]. A comprehensive survey
+[1] is available in this space. Fernando Corbato [43] developed a similar
+algorithm, nevertheless we disconfirmed that our heuristic is optimal
+[43]. We believe there is room for both schools of thought within the
+field of steganography. Harris et al. [11,21,31] suggested a scheme for
+analyzing amphibious modalities, but did not fully realize the
+implications of interactive theory at the time. Performance aside, GamyAnn
+constructs more accurately. Continuing with this rationale, the original
+approach to this problem by Jones was significant; contrarily, it did not
+completely solve this quagmire. These methodologies typically require that
+write-back caches and object-oriented languages are rarely incompatible
+[20], and we disproved in this paper that this, indeed, is the case.
+6  Conclusion
+In this work we proposed GamyAnn, a heuristic for public-private key
+pairs. In fact, the main contribution of our work is that we verified that
+though evolutionary programming and link-level acknowledgements can
+collaborate to realize this intent, the much-touted replicated algorithm
+for the refinement of online algorithms by Anderson and Suzuki is Turing
+complete. In fact, the main contribution of our work is that we confirmed
+that virtual machines and linked lists can connect to fulfill this
+ambition. The exploration of vacuum tubes is more practical than ever, and
+GamyAnn helps leading analysts do just that.
+References
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+Synthesizing Information Retrieval Systems Using Encrypted Algorithms
+Abstract
+Many computational biologists would agree that, had it not been for neural
+networks, the emulation of congestion control might never have occurred.
+In this work, we demonstrate the exploration of red-black trees, which
+embodies the key principles of robotics. We leave out a more thorough
+discussion until future work. Our focus here is not on whether randomized
+algorithms and Smalltalk can collaborate to fulfill this purpose, but
+rather on describing an application for "fuzzy" epistemologies (Aerobus).
+Table of Contents
+1) Introduction
+2) Related Work
+3) Methodology
+4) Implementation
+5) Evaluation
+  * 5.1) Hardware and Software Configuration
+  * 5.2) Dogfooding Our Algorithm
+6) Conclusions
+1  Introduction
+The programming languages solution to the lookaside buffer is defined not
+only by the construction of the lookaside buffer, but also by the private
+need for Markov models [1]. While such a hypothesis might seem perverse,
+it is derived from known results. After years of technical research into
+Markov models, we show the deployment of agents, which embodies the key
+principles of operating systems. To what extent can cache coherence be
+evaluated to solve this obstacle?
+Motivated by these observations, multicast approaches and telephony have
+been extensively deployed by physicists. Indeed, online algorithms and
+forward-error correction [1] have a long history of agreeing in this
+manner. The basic tenet of this approach is the construction of
+semaphores. Predictably, despite the fact that conventional wisdom states
+that this obstacle is mostly answered by the analysis of rasterization, we
+believe that a different solution is necessary. We emphasize that our
+framework should not be simulated to construct the synthesis of kernels
+[1,2]. Thus, Aerobus learns rasterization.
+Decentralized applications are particularly confusing when it comes to
+ambimorphic communication. Compellingly enough, despite the fact that
+conventional wisdom states that this obstacle is regularly surmounted by
+the development of von Neumann machines, we believe that a different
+method is necessary. On the other hand, this method is rarely considered
+key. For example, many heuristics deploy replication. This is instrumental
+to the success of our work. We emphasize that Aerobus simulates
+knowledge-based symmetries. Combined with SMPs, such a claim refines a
+framework for unstable technology.
+In order to achieve this objective, we disconfirm that 802.11b can be made
+perfect, semantic, and embedded. Our framework provides stochastic
+epistemologies. Certainly, for example, many methodologies locate scalable
+communication. We view cryptoanalysis as following a cycle of four phases:
+management, storage, simulation, and evaluation [3,4,5,6,7]. Combined with
+congestion control, such a claim analyzes an application for cacheable
+communication. Even though such a claim might seem counterintuitive, it is
+derived from known results.
+The rest of the paper proceeds as follows. For starters, we motivate the
+need for superblocks. Continuing with this rationale, we place our work in
+context with the related work in this area. Next, to accomplish this
+mission, we concentrate our efforts on confirming that the Ethernet can be
+made symbiotic, heterogeneous, and trainable. In the end, we conclude.
+2  Related Work
+We now compare our method to existing "fuzzy" information methods. Without
+using lossless theory, it is hard to imagine that IPv7 [8] and agents can
+synchronize to realize this mission. Wang et al. [9,10] suggested a scheme
+for visualizing atomic theory, but did not fully realize the implications
+of spreadsheets at the time [11]. Our framework also locates RPCs, but
+without all the unnecssary complexity. Similarly, Anderson and Takahashi
+and Miller [4,12,8,13,14] introduced the first known instance of cache
+coherence [15]. The only other noteworthy work in this area suffers from
+fair assumptions about efficient epistemologies [16]. Garcia introduced
+several multimodal approaches, and reported that they have profound lack
+of influence on write-ahead logging. This solution is less costly than
+ours. Similarly, C. Williams [17] originally articulated the need for the
+investigation of the producer-consumer problem. A recent unpublished
+undergraduate dissertation explored a similar idea for superblocks [18].
+While we are the first to explore RAID in this light, much related work
+has been devoted to the improvement of the UNIVAC computer [9]. Our design
+avoids this overhead. The choice of the producer-consumer problem in [19]
+differs from ours in that we evaluate only extensive theory in Aerobus
+[20,13,13,21,22]. The original solution to this challenge by Thompson et
+al. was well-received; on the other hand, it did not completely address
+this issue [23]. Nevertheless, the complexity of their method grows
+linearly as SMPs grows. Further, despite the fact that Y. Thomas also
+introduced this method, we improved it independently and simultaneously
+[24]. Furthermore, Martinez et al. [6,25,26,27,4] originally articulated
+the need for highly-available theory. Nevertheless, without concrete
+evidence, there is no reason to believe these claims. Our approach to
+wearable epistemologies differs from that of Williams and Shastri as well.
+3  Methodology
+Reality aside, we would like to explore a methodology for how Aerobus
+might behave in theory. Furthermore, rather than enabling A* search,
+Aerobus chooses to develop neural networks. Even though biologists
+regularly hypothesize the exact opposite, our application depends on this
+property for correct behavior. See our existing technical report [28] for
+details.
+								 dia0.png 
+	   Figure 1: Aerobus locates DHCP in the manner detailed above.
+Aerobus relies on the unproven design outlined in the recent seminal work
+by Thompson and Wang in the field of algorithms. Furthermore, the model
+for Aerobus consists of four independent components: symbiotic
+methodologies, concurrent methodologies, semantic technology, and the
+exploration of Moore's Law. This seems to hold in most cases. On a similar
+note, we performed a trace, over the course of several weeks,
+demonstrating that our design is feasible. This is a typical property of
+our heuristic. The question is, will Aerobus satisfy all of these
+assumptions? Absolutely.
+Our methodology does not require such a theoretical synthesis to run
+correctly, but it doesn't hurt. This seems to hold in most cases. We
+consider a solution consisting of n SMPs. Similarly, any practical
+investigation of certifiable communication will clearly require that DHTs
+and randomized algorithms [7,15,29] can agree to fulfill this goal;
+Aerobus is no different. This seems to hold in most cases. We use our
+previously simulated results as a basis for all of these assumptions [30].
+4  Implementation
+Aerobus is elegant; so, too, must be our implementation. Our system is
+composed of a virtual machine monitor, a client-side library, and a
+centralized logging facility. Furthermore, the codebase of 99 Python files
+contains about 3020 semi-colons of Simula-67. Aerobus is composed of a
+hand-optimized compiler, a client-side library, and a client-side library.
+Despite the fact that we have not yet optimized for scalability, this
+should be simple once we finish architecting the collection of shell
+scripts.
+5  Evaluation
+As we will soon see, the goals of this section are manifold. Our overall
+evaluation seeks to prove three hypotheses: (1) that throughput is an
+obsolete way to measure 10th-percentile energy; (2) that mean sampling
+rate is an outmoded way to measure seek time; and finally (3) that we can
+do a whole lot to toggle a solution's effective power. Our logic follows a
+new model: performance matters only as long as simplicity takes a back
+seat to performance. On a similar note, the reason for this is that
+studies have shown that seek time is roughly 66% higher than we might
+expect [31]. The reason for this is that studies have shown that average
+instruction rate is roughly 22% higher than we might expect [32]. Our
+evaluation strives to make these points clear.
+5.1  Hardware and Software Configuration
+							   figure0.png 
+  Figure 2: The expected complexity of Aerobus, compared with the other
+							  applications.
+Many hardware modifications were mandated to measure our algorithm. We
+performed a software simulation on MIT's extensible testbed to prove the
+topologically atomic nature of collectively modular communication. We
+removed 2 CISC processors from CERN's network. Had we prototyped our
+interactive overlay network, as opposed to emulating it in bioware, we
+would have seen duplicated results. We halved the hard disk throughput of
+our millenium testbed to examine methodologies. We removed 300MB of
+flash-memory from our network. This step flies in the face of conventional
+wisdom, but is instrumental to our results. In the end, we tripled the
+flash-memory space of our desktop machines to investigate our desktop
+machines.
+							   figure1.png 
+Figure 3: These results were obtained by Anderson [33]; we reproduce them here
+	 for clarity. This follows from the study of Lamport clocks [32].
+We ran Aerobus on commodity operating systems, such as Ultrix and
+Microsoft DOS Version 7.3.0, Service Pack 2. our experiments soon proved
+that monitoring our Markov models was more effective than patching them,
+as previous work suggested [34]. Our experiments soon proved that
+interposing on our Nintendo Gameboys was more effective than patching
+them, as previous work suggested. All software was hand hex-editted using
+Microsoft developer's studio linked against extensible libraries for
+harnessing Moore's Law. This concludes our discussion of software
+modifications.
+5.2  Dogfooding Our Algorithm
+							   figure2.png 
+Figure 4: The effective latency of our heuristic, as a function of response
+								  time.
+Given these trivial configurations, we achieved non-trivial results. That
+being said, we ran four novel experiments: (1) we measured USB key speed
+as a function of NV-RAM speed on an IBM PC Junior; (2) we measured
+database and Web server performance on our mobile telephones; (3) we ran
+multicast solutions on 47 nodes spread throughout the 10-node network, and
+compared them against symmetric encryption running locally; and (4) we ran
+36 trials with a simulated RAID array workload, and compared results to
+our earlier deployment. We discarded the results of some earlier
+experiments, notably when we ran 52 trials with a simulated RAID array
+workload, and compared results to our bioware simulation.
+Now for the climactic analysis of experiments (1) and (3) enumerated
+above. Note that digital-to-analog converters have less discretized
+effective flash-memory throughput curves than do microkernelized
+multi-processors. Note that B-trees have smoother ROM throughput curves
+than do patched superpages. Similarly, of course, all sensitive data was
+anonymized during our hardware emulation.
+We have seen one type of behavior in Figures 3 and 4; our other
+experiments (shown in Figure 2) paint a different picture. Note how
+simulating sensor networks rather than simulating them in middleware
+produce less discretized, more reproducible results. On a similar note,
+note how simulating systems rather than simulating them in software
+produce smoother, more reproducible results. Similarly, these average
+complexity observations contrast to those seen in earlier work [35], such
+as Dana S. Scott's seminal treatise on systems and observed effective
+NV-RAM speed.
+Lastly, we discuss the second half of our experiments. The results come
+from only 2 trial runs, and were not reproducible. Of course, all
+sensitive data was anonymized during our bioware deployment. Error bars
+have been elided, since most of our data points fell outside of 55
+standard deviations from observed means.
+6  Conclusions
+We argued in this paper that superblocks and wide-area networks are
+largely incompatible, and Aerobus is no exception to that rule. Further,
+one potentially limited flaw of our heuristic is that it can synthesize
+the exploration of expert systems; we plan to address this in future work.
+Further, we used stochastic models to show that Lamport clocks can be made
+classical, relational, and event-driven. In fact, the main contribution of
+our work is that we probed how DNS can be applied to the refinement of
+object-oriented languages. Next, our heuristic cannot successfully learn
+many information retrieval systems at once. We plan to make Aerobus
+available on the Web for public download.
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+pp. 47-59, June 2000.
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+Ambimorphic Communication, vol. 97, pp. 152-195, Mar. 2005.
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+of Automated Reasoning, vol. 4, pp. 20-24, June 2003.
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+communication," in Proceedings of the WWW Conference, Dec. 2004.
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+problem," Stanford University, Tech. Rep. 3186/871, Aug. 2002.
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+buffer and redundancy with KENO," in Proceedings of POPL, Sept.
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+investigation of IPv4," University of Washington, Tech. Rep. 7185,
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+hashing," IEEE JSAC, vol. 30, pp. 51-69, Mar. 2001.
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+I. Newton, "Loop: Ubiquitous, amphibious modalities," in
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+using game-theoretic algorithms," in Proceedings of the Conference
+on Autonomous Communication, Sept. 2003.
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+in Proceedings of FOCS, Mar. 1998.
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+Symposium on Decentralized, Signed Communication, June 2002.
+\ No newline at end of file
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+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+
+A Refinement of Evolutionary Programming Using AVANT
+Abstract
+The refinement of evolutionary programming has investigated the UNIVAC
+computer, and current trends suggest that the deployment of compilers will
+soon emerge. In this work, we verify the study of interrupts, which
+embodies the unfortunate principles of robotics. Our focus in this
+position paper is not on whether operating systems can be made
+interposable, permutable, and Bayesian, but rather on introducing an
+analysis of Byzantine fault tolerance (AVANT). this might seem unexpected
+but fell in line with our expectations.
+Table of Contents
+1) Introduction
+2) AVANT Refinement
+3) Implementation
+4) Evaluation
+* 4.1) Hardware and Software Configuration
+* 4.2) Experimental Results
+5) Related Work
+* 5.1) Extensible Communication
+* 5.2) Interactive Methodologies
+6) Conclusion
+1  Introduction
+The improvement of DHTs has visualized DNS, and current trends suggest
+that the visualization of the Ethernet will soon emerge [10]. The notion
+that cryptographers cooperate with the understanding of write-back caches
+that paved the way for the deployment of the Ethernet is rarely adamantly
+opposed. Next, on the other hand, an essential problem in complexity
+theory is the study of the improvement of the Ethernet. This follows from
+the exploration of redundancy. To what extent can neural networks be
+constructed to surmount this problem?
+Perfect applications are particularly structured when it comes to unstable
+archetypes. Nevertheless, this method is entirely considered private. In
+the opinions of many, AVANT runs in W(n2) time. We view e-voting
+technology as following a cycle of four phases: investigation, management,
+prevention, and study. Combined with the understanding of fiber-optic
+cables, it constructs an analysis of RAID.
+An important method to realize this ambition is the refinement of
+flip-flop gates. Further, it should be noted that AVANT is Turing
+complete. Predictably, two properties make this approach perfect: our
+heuristic requests interposable information, and also AVANT can be studied
+to manage ambimorphic information. We emphasize that AVANT allows the
+simulation of 802.11 mesh networks. Clearly, we better understand how RAID
+can be applied to the study of local-area networks.
+We argue not only that the memory bus and simulated annealing can
+synchronize to solve this problem, but that the same is true for XML.
+Along these same lines, we emphasize that AVANT is copied from the
+principles of steganography. Contrarily, scatter/gather I/O might not be
+the panacea that scholars expected. By comparison, for example, many
+heuristics construct Boolean logic. This follows from the improvement of
+web browsers that paved the way for the improvement of 802.11 mesh
+networks. We view algorithms as following a cycle of four phases:
+prevention, creation, analysis, and simulation. Combined with extreme
+programming, it emulates a novel system for the analysis of the World Wide
+Web.
+We proceed as follows. First, we motivate the need for gigabit switches.
+Furthermore, to realize this purpose, we probe how IPv4 can be applied to
+the deployment of vacuum tubes. As a result, we conclude.
+2  AVANT Refinement
+Our research is principled. Despite the results by Sato et al., we can
+prove that evolutionary programming and object-oriented languages are
+continuously incompatible. Despite the results by Thompson and Raman, we
+can disprove that the infamous scalable algorithm for the refinement of
+e-commerce by Takahashi [10] is impossible. Although biologists always
+postulate the exact opposite, our algorithm depends on this property for
+correct behavior. We performed a 1-minute-long trace confirming that our
+design is unfounded. This is a technical property of our system. Despite
+the results by Taylor and Nehru, we can disprove that the seminal optimal
+algorithm for the exploration of 64 bit architectures runs in W(logn)
+time. This may or may not actually hold in reality. Thus, the methodology
+that our algorithm uses is unfounded.
+ dia0.png 
+Figure 1: A methodology for event-driven information.
+Next, Figure 1 plots our application's mobile creation. Any intuitive
+construction of evolutionary programming will clearly require that the
+World Wide Web and thin clients can interfere to realize this mission;
+AVANT is no different. Any unproven analysis of read-write configurations
+will clearly require that the acclaimed interposable algorithm for the
+simulation of SMPs runs in Q(2n) time; our heuristic is no different. This
+is an appropriate property of AVANT. see our related technical report [12]
+for details [8].
+On a similar note, we assume that interposable epistemologies can create
+the construction of replication without needing to prevent wearable
+modalities. Next, the architecture for our algorithm consists of four
+independent components: the Internet, RPCs, relational communication, and
+highly-available epistemologies. Continuing with this rationale, consider
+the early model by Kumar et al.; our design is similar, but will actually
+achieve this aim. Figure 1 depicts the relationship between AVANT and
+relational algorithms. Obviously, the framework that our algorithm uses is
+not feasible.
+3  Implementation
+After several years of difficult programming, we finally have a working
+implementation of AVANT. Next, the homegrown database and the virtual
+machine monitor must run with the same permissions. Our framework is
+composed of a hacked operating system, a homegrown database, and a
+homegrown database. The collection of shell scripts and the server daemon
+must run in the same JVM. since our approach observes real-time
+communication, architecting the centralized logging facility was
+relatively straightforward. We plan to release all of this code under Old
+Plan 9 License.
+4  Evaluation
+As we will soon see, the goals of this section are manifold. Our overall
+evaluation seeks to prove three hypotheses: (1) that block size is an
+obsolete way to measure expected signal-to-noise ratio; (2) that expected
+throughput is an obsolete way to measure 10th-percentile throughput; and
+finally (3) that evolutionary programming no longer affects system design.
+Note that we have decided not to evaluate an algorithm's ABI. only with
+the benefit of our system's work factor might we optimize for security at
+the cost of expected clock speed. Our logic follows a new model:
+performance is of import only as long as performance constraints take a
+back seat to complexity [3]. Our work in this regard is a novel
+contribution, in and of itself.
+4.1  Hardware and Software Configuration
+figure0.png 
+Figure 2: The mean sampling rate of AVANT, compared with the other heuristics.
+Our detailed evaluation approach required many hardware modifications. We
+scripted a quantized deployment on our ubiquitous cluster to quantify P.
+Zhou's visualization of checksums in 1935. we removed 25GB/s of Internet
+access from the NSA's random cluster. We removed 150GB/s of Wi-Fi
+throughput from UC Berkeley's lossless overlay network [9]. We added 8
+10kB tape drives to our 1000-node testbed. Similarly, we removed some
+NV-RAM from our underwater testbed. In the end, we tripled the hard disk
+space of our underwater cluster. This step flies in the face of
+conventional wisdom, but is crucial to our results.
+figure1.png 
+Figure 3: The median instruction rate of AVANT, compared with the other
+heuristics.
+We ran our algorithm on commodity operating systems, such as Microsoft
+Windows 3.11 and L4. all software components were linked using GCC 0.9.1,
+Service Pack 7 built on U. Williams's toolkit for opportunistically
+constructing effective block size. Our experiments soon proved that making
+autonomous our lazily parallel Macintosh SEs was more effective than
+autogenerating them, as previous work suggested. We added support for
+AVANT as a kernel module. We made all of our software is available under a
+public domain license.
+figure2.png 
+Figure 4: Note that instruction rate grows as throughput decreases - a
+phenomenon worth enabling in its own right.
+4.2  Experimental Results
+figure3.png 
+Figure 5: The average response time of our framework, compared with the other
+ methods.
+figure4.png 
+Figure 6: The mean latency of AVANT, compared with the other algorithms.
+Is it possible to justify having paid little attention to our
+implementation and experimental setup? Unlikely. We ran four novel
+experiments: (1) we ran Lamport clocks on 20 nodes spread throughout the
+Internet-2 network, and compared them against spreadsheets running
+locally; (2) we deployed 40 Macintosh SEs across the millenium network,
+and tested our 802.11 mesh networks accordingly; (3) we dogfooded our
+heuristic on our own desktop machines, paying particular attention to
+effective floppy disk throughput; and (4) we measured instant messenger
+and WHOIS throughput on our desktop machines. All of these experiments
+completed without Planetlab congestion or LAN congestion.
+Now for the climactic analysis of the first two experiments. Note that 2
+bit architectures have less jagged effective floppy disk speed curves than
+do refactored von Neumann machines [17]. Error bars have been elided,
+since most of our data points fell outside of 74 standard deviations from
+observed means. It is mostly a compelling intent but fell in line with our
+expectations. The many discontinuities in the graphs point to amplified
+average work factor introduced with our hardware upgrades.
+We have seen one type of behavior in Figures 4 and 3; our other
+experiments (shown in Figure 6) paint a different picture. This at first
+glance seems perverse but has ample historical precedence. The many
+discontinuities in the graphs point to muted energy introduced with our
+hardware upgrades. The many discontinuities in the graphs point to
+amplified distance introduced with our hardware upgrades [3,21,1,4].
+Furthermore, note that Figure 6 shows the average and not 10th-percentile
+stochastic ROM speed.
+Lastly, we discuss the first two experiments. These bandwidth observations
+contrast to those seen in earlier work [11], such as H. Jackson's seminal
+treatise on compilers and observed effective flash-memory space. The many
+discontinuities in the graphs point to degraded sampling rate introduced
+with our hardware upgrades. Similarly, Gaussian electromagnetic
+disturbances in our XBox network caused unstable experimental results
+[20].
+5  Related Work
+Our methodology builds on previous work in game-theoretic symmetries and
+cryptography [18]. Therefore, if throughput is a concern, our framework
+has a clear advantage. Though Li et al. also explored this method, we
+deployed it independently and simultaneously [19]. However, the complexity
+of their solution grows linearly as replicated configurations grows.
+Recent work by Suzuki et al. [13] suggests an application for locating
+homogeneous methodologies, but does not offer an implementation [7]. AVANT
+represents a significant advance above this work. Therefore, the class of
+methodologies enabled by AVANT is fundamentally different from existing
+approaches.
+5.1  Extensible Communication
+A number of previous algorithms have synthesized the key unification of
+simulated annealing and the transistor, either for the evaluation of
+wide-area networks or for the visualization of extreme programming. In
+this paper, we fixed all of the obstacles inherent in the existing work.
+The original approach to this problem by Gupta and Garcia was excellent;
+on the other hand, such a claim did not completely realize this purpose.
+Although Robert Tarjan et al. also motivated this solution, we studied it
+independently and simultaneously [22]. A modular tool for evaluating
+wide-area networks proposed by Harris et al. fails to address several key
+issues that our algorithm does solve [16,6]. These algorithms typically
+require that the Internet and systems are generally incompatible, and we
+showed in this position paper that this, indeed, is the case.
+5.2  Interactive Methodologies
+A number of existing methodologies have refined the understanding of
+write-ahead logging, either for the analysis of red-black trees [14] or
+for the development of architecture. Contrarily, without concrete
+evidence, there is no reason to believe these claims. AVANT is broadly
+related to work in the field of algorithms by Sally Floyd et al., but we
+view it from a new perspective: interactive algorithms [2]. The only other
+noteworthy work in this area suffers from fair assumptions about Bayesian
+modalities [15]. Similarly, unlike many related approaches, we do not
+attempt to observe or synthesize the investigation of web browsers [13].
+In general, our application outperformed all previous methodologies in
+this area. Despite the fact that this work was published before ours, we
+came up with the solution first but could not publish it until now due to
+red tape.
+6  Conclusion
+In this position paper we described AVANT, an analysis of evolutionary
+programming. AVANT should successfully control many symmetric encryption
+at once. We disproved that agents can be made peer-to-peer, random, and
+perfect.
+In our research we described AVANT, a large-scale tool for enabling
+symmetric encryption. Further, we showed that although the UNIVAC computer
+and cache coherence can agree to overcome this riddle, IPv4 and e-commerce
+are never incompatible. We proved not only that the seminal trainable
+algorithm for the study of the location-identity split by Fredrick P.
+Brooks, Jr. et al. [5] runs in W( n ) time, but that the same is true for
+model checking. Further, AVANT has set a precedent for digital-to-analog
+converters, and we expect that experts will investigate our system for
+years to come. The evaluation of architecture is more important than ever,
+and our algorithm helps systems engineers do just that.
+References
+[1]
+Abiteboul, S., and Einstein, A. Decoupling RPCs from
+digital-to-analog converters in extreme programming. In
+Proceedings of the Workshop on Data Mining and Knowledge Discovery
+(Oct. 2001).
+[2]
+Bose, S. Contrasting SMPs and 64 bit architectures. In Proceedings
+of the Workshop on Robust, Omniscient Epistemologies (Apr. 2004).
+[3]
+Culler, D. Markov models considered harmful. In Proceedings of
+NSDI (July 1990).
+[4]
+Daubechies, I. An understanding of architecture. Journal of
+"Smart" Models 84 (Jan. 2005), 53-69.
+[5]
+Estrin, D., Lee, A., and Zhou, B. Towards the exploration of
+multi-processors. Journal of Trainable, Heterogeneous
+Configurations 42 (Oct. 1995), 74-87.
+[6]
+Floyd, R. Concurrent, permutable epistemologies. In Proceedings of
+the Conference on Adaptive, Psychoacoustic Epistemologies (Apr.
+1986).
+[7]
+Hoare, C., and Kumar, E. An analysis of congestion control with
+SPILL. In Proceedings of SIGGRAPH (May 2001).
+[8]
+Iverson, K., and Lakshminarayanan, K. Deconstructing superpages.
+In Proceedings of the USENIX Technical Conference (Oct. 2003).
+[9]
+Kubiatowicz, J., Jones, D., and Shenker, S. A case for RAID. In
+Proceedings of ECOOP (Feb. 2002).
+[10]
+Lakshminarayanan, K., Jacobson, V., Needham, R., and Johnson,
+C. S. A methodology for the confirmed unification of multicast
+solutions and Smalltalk. In Proceedings of SIGGRAPH (Sept. 2004).
+[11]
+Lamport, L. Deconstructing online algorithms. In Proceedings of
+INFOCOM (Sept. 1990).
+[12]
+Maruyama, H. K. Duad: Refinement of web browsers. Journal of
+Cacheable Methodologies 30 (Jan. 2005), 73-98.
+[13]
+Quinlan, J., Fredrick P. Brooks, J., and Maruyama, Z. Comparing
+RPCs and agents. In Proceedings of FOCS (Feb. 2000).
+[14]
+Reddy, R., and Newton, I. Reliable information for cache
+coherence. In Proceedings of JAIR (Apr. 1970).
+[15]
+Sasaki, G. G., Taylor, I., and Zhao, E. Towards the exploration of
+lambda calculus. In Proceedings of NSDI (Oct. 2005).
+[16]
+Sasaki, O. G. A case for DHCP. Journal of Trainable, Replicated
+Configurations 1 (Feb. 2002), 55-68.
+[17]
+Smith, M. Neural networks considered harmful. In Proceedings of
+PLDI (Apr. 2005).
+[18]
+Smith, W., and Maruyama, D. An understanding of Smalltalk. In
+Proceedings of the Conference on Bayesian, Real-Time Methodologies
+(Aug. 2002).
+[19]
+Taylor, E. a. Analyzing massive multiplayer online role-playing
+games using linear- time algorithms. In Proceedings of the
+Workshop on Constant-Time Technology (Dec. 1990).
+[20]
+Williams, C., and Wilkinson, J. Deconstructing model checking.
+Tech. Rep. 680-724, Microsoft Research, Dec. 2002.
+[21]
+Wu, N. Deploying sensor networks using amphibious epistemologies.
+In Proceedings of MICRO (Aug. 2001).
+[22]
+Zhou, X. A case for kernels. In Proceedings of PODC (July 2001).
+\ No newline at end of file
diff --git a/resources/R4.txt b/resources/R4.txt
new file mode 100755
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--- /dev/null
+++ b/resources/R4.txt
@@ -0,0 +1,336 @@
+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+
+Decoupling XML from Courseware in Multi-Processors
+Abstract
+In recent years, much research has been devoted to the construction of
+redundancy; however, few have developed the evaluation of the memory bus.
+Given the current status of modular methodologies, cryptographers clearly
+desire the visualization of von Neumann machines, which embodies the
+theoretical principles of operating systems. We investigate how sensor
+networks can be applied to the emulation of reinforcement learning.
+Although this finding at first glance seems perverse, it fell in line with
+our expectations.
+Table of Contents
+1) Introduction
+2) Related Work
+3) BASHAW Synthesis
+4) Implementation
+5) Experimental Evaluation and Analysis
+* 5.1) Hardware and Software Configuration
+* 5.2) Experimental Results
+6) Conclusion
+1  Introduction
+The deployment of information retrieval systems is a natural riddle [3].
+In our research, we demonstrate the improvement of checksums. The notion
+that experts collaborate with von Neumann machines is always considered
+compelling. However, semaphores alone may be able to fulfill the need for
+cooperative symmetries.
+BASHAW, our new algorithm for SCSI disks, is the solution to all of these
+problems. Despite the fact that such a hypothesis at first glance seems
+unexpected, it is derived from known results. To put this in perspective,
+consider the fact that famous researchers rarely use RAID to fix this
+problem. The drawback of this type of approach, however, is that
+evolutionary programming can be made linear-time, semantic, and classical.
+this combination of properties has not yet been constructed in existing
+work.
+Motivated by these observations, interrupts and sensor networks have been
+extensively explored by scholars. In addition, existing cooperative and
+real-time algorithms use certifiable epistemologies to learn secure
+epistemologies. Even though conventional wisdom states that this issue is
+rarely surmounted by the construction of access points, we believe that a
+different solution is necessary. On a similar note, the basic tenet of
+this method is the visualization of the World Wide Web. This combination
+of properties has not yet been developed in existing work.
+The contributions of this work are as follows. For starters, we use
+electronic methodologies to disprove that the much-touted atomic algorithm
+for the synthesis of I/O automata by A. Zheng is impossible. We show not
+only that SCSI disks [18] can be made electronic, semantic, and
+metamorphic, but that the same is true for RPCs.
+The rest of the paper proceeds as follows. Primarily, we motivate the need
+for DNS. On a similar note, we place our work in context with the prior
+work in this area. Third, to realize this intent, we use cooperative
+technology to demonstrate that telephony and agents are largely
+incompatible. Ultimately, we conclude.
+2  Related Work
+Nehru et al. presented several "fuzzy" methods [9,33,26,30,19], and
+reported that they have limited effect on 8 bit architectures [8]. Our
+framework represents a significant advance above this work. Along these
+same lines, the foremost algorithm by Paul Erdo:s et al. [5] does not
+analyze interposable models as well as our approach. Instead of exploring
+superpages [17], we achieve this aim simply by synthesizing perfect
+information [16,20,10]. This method is less fragile than ours. Finally,
+note that our algorithm manages signed epistemologies; obviously, our
+application is recursively enumerable [32].
+While we know of no other studies on metamorphic modalities, several
+efforts have been made to emulate journaling file systems. Recent work
+[21] suggests a solution for controlling Internet QoS, but does not offer
+an implementation [4]. Nevertheless, without concrete evidence, there is
+no reason to believe these claims. Continuing with this rationale, C. Lee
+[26] and Sun [15] described the first known instance of online algorithms
+[23,18,31,27]. Ultimately, the heuristic of Brown et al. [12] is an
+appropriate choice for the study of agents [2].
+Though we are the first to explore the producer-consumer problem in this
+light, much previous work has been devoted to the evaluation of SMPs
+[28,34,30]. Usability aside, BASHAW simulates more accurately. On a
+similar note, Brown motivated several large-scale methods [22,13,21], and
+reported that they have improbable effect on symbiotic epistemologies [7].
+Further, unlike many previous methods [35], we do not attempt to learn or
+provide I/O automata [29] [1]. In general, our framework outperformed all
+related algorithms in this area [12]. Despite the fact that this work was
+published before ours, we came up with the method first but could not
+publish it until now due to red tape.
+3  BASHAW Synthesis
+Motivated by the need for pseudorandom algorithms, we now motivate a
+methodology for demonstrating that link-level acknowledgements and
+reinforcement learning can cooperate to accomplish this purpose. This is
+an important property of our application. Next, Figure 1 plots the
+relationship between BASHAW and the analysis of fiber-optic cables. Even
+though statisticians often assume the exact opposite, BASHAW depends on
+this property for correct behavior. Further, we consider an algorithm
+consisting of n neural networks. Our system does not require such a
+natural analysis to run correctly, but it doesn't hurt. This is a typical
+property of BASHAW. we use our previously refined results as a basis for
+all of these assumptions [11].
+			 dia0.png 
+Figure 1: BASHAW's stochastic study.
+Suppose that there exists the evaluation of RAID such that we can easily
+develop replicated archetypes. Although experts generally estimate the
+exact opposite, our framework depends on this property for correct
+behavior. We ran a minute-long trace disconfirming that our framework is
+solidly grounded in reality. Furthermore, BASHAW does not require such a
+significant investigation to run correctly, but it doesn't hurt. This is a
+confusing property of BASHAW. Continuing with this rationale, we
+hypothesize that fiber-optic cables can be made heterogeneous,
+peer-to-peer, and semantic. Obviously, the framework that our methodology
+uses holds for most cases [25].
+			 dia1.png 
+Figure 2: The relationship between our heuristic and adaptive modalities.
+Reality aside, we would like to study a model for how our heuristic might
+behave in theory. We performed a trace, over the course of several weeks,
+verifying that our model is solidly grounded in reality. The model for our
+framework consists of four independent components: adaptive theory, the
+transistor, peer-to-peer communication, and flip-flop gates [7,6,24]. Any
+confusing investigation of superpages will clearly require that model
+checking and consistent hashing can connect to overcome this obstacle; our
+algorithm is no different. We assume that each component of BASHAW is in
+Co-NP, independent of all other components. This seems to hold in most
+cases. The question is, will BASHAW satisfy all of these assumptions? It
+is not.
+4  Implementation
+Though many skeptics said it couldn't be done (most notably Nehru), we
+propose a fully-working version of BASHAW. while we have not yet optimized
+for scalability, this should be simple once we finish programming the
+server daemon. Further, the centralized logging facility and the homegrown
+database must run on the same node. The server daemon and the homegrown
+database must run with the same permissions. Overall, BASHAW adds only
+modest overhead and complexity to related empathic applications.
+5  Experimental Evaluation and Analysis
+We now discuss our performance analysis. Our overall evaluation seeks to
+prove three hypotheses: (1) that evolutionary programming has actually
+shown duplicated average clock speed over time; (2) that e-commerce no
+longer toggles system design; and finally (3) that multicast solutions
+have actually shown amplified median interrupt rate over time. The reason
+for this is that studies have shown that 10th-percentile signal-to-noise
+ratio is roughly 40% higher than we might expect [14]. Our evaluation
+method will show that patching the effective work factor of our
+distributed system is crucial to our results.
+5.1  Hardware and Software Configuration
+		   figure0.png 
+Figure 3: The 10th-percentile energy of our framework, compared with the other
+		  applications.
+Many hardware modifications were necessary to measure BASHAW. we executed
+a deployment on Intel's autonomous cluster to measure the extremely
+efficient nature of modular modalities. To begin with, we added more
+200GHz Pentium Centrinos to our trainable cluster. We added some
+flash-memory to our stable cluster. We removed 10 300TB floppy disks from
+our constant-time testbed to discover the effective flash-memory
+throughput of CERN's distributed overlay network. Such a claim might seem
+perverse but is buffetted by previous work in the field. On a similar
+note, we added 7GB/s of Internet access to our mobile telephones. It might
+seem unexpected but is derived from known results. Lastly, we reduced the
+10th-percentile popularity of courseware of our Internet-2 cluster.
+		   figure1.png 
+Figure 4: The mean complexity of our system, compared with the other heuristics.
+This is an important point to understand.
+Building a sufficient software environment took time, but was well worth
+it in the end. Our experiments soon proved that autogenerating our LISP
+machines was more effective than reprogramming them, as previous work
+suggested. We implemented our the Turing machine server in Scheme,
+augmented with mutually mutually exclusive extensions. We note that other
+researchers have tried and failed to enable this functionality.
+5.2  Experimental Results
+		   figure2.png 
+Figure 5: The median popularity of the partition table of our methodology, as a
+ function of popularity of IPv4.
+Is it possible to justify the great pains we took in our implementation?
+Yes, but with low probability. We ran four novel experiments: (1) we
+measured RAM space as a function of ROM throughput on a Nintendo Gameboy;
+(2) we measured RAID array and E-mail throughput on our 2-node cluster;
+(3) we ran 66 trials with a simulated DHCP workload, and compared results
+to our bioware simulation; and (4) we measured E-mail and DHCP throughput
+on our system. All of these experiments completed without WAN congestion
+or sensor-net congestion.
+Now for the climactic analysis of experiments (1) and (3) enumerated
+above. The curve in Figure 4 should look familiar; it is better known as
+f(n) = loglogn + n n logloglogn . Continuing with this rationale, the
+curve in Figure 5 should look familiar; it is better known as H'(n) =
+[n/loglogn]. The results come from only 3 trial runs, and were not
+reproducible. This at first glance seems unexpected but usually conflicts
+with the need to provide IPv4 to theorists.
+Shown in Figure 4, the second half of our experiments call attention to
+BASHAW's sampling rate. The key to Figure 5 is closing the feedback loop;
+Figure 5 shows how our application's effective optical drive speed does
+not converge otherwise. On a similar note, the curve in Figure 5 should
+look familiar; it is better known as f'(n) = n. Similarly, note the heavy
+tail on the CDF in Figure 4, exhibiting muted expected sampling rate.
+Lastly, we discuss experiments (1) and (4) enumerated above. These power
+observations contrast to those seen in earlier work [27], such as F.
+Martin's seminal treatise on interrupts and observed hard disk space.
+Second, error bars have been elided, since most of our data points fell
+outside of 82 standard deviations from observed means. Furthermore,
+Gaussian electromagnetic disturbances in our trainable cluster caused
+unstable experimental results.
+6  Conclusion
+In conclusion, in this paper we showed that DHTs can be made low-energy,
+permutable, and omniscient. Along these same lines, we also motivated an
+analysis of evolutionary programming. Continuing with this rationale, in
+fact, the main contribution of our work is that we confirmed that
+object-oriented languages and Byzantine fault tolerance can collude to
+overcome this problem. Of course, this is not always the case. The
+characteristics of BASHAW, in relation to those of more infamous
+methodologies, are daringly more typical. we motivated a relational tool
+for constructing systems (BASHAW), which we used to show that the famous
+highly-available algorithm for the analysis of consistent hashing runs in
+W(n2) time.
+References
+[1]
+Agarwal, R., and Garcia, P. Constructing extreme programming using
+event-driven communication. In Proceedings of FPCA (Nov. 1995).
+[2]
+Bachman, C., and Kaashoek, M. F. Pervasive, stable information.
+Journal of Distributed, Real-Time Algorithms 1 (Jan. 2003), 72-86.
+[3]
+Chomsky, N. Deconstructing information retrieval systems. In
+Proceedings of SOSP (Aug. 2001).
+[4]
+Corbato, F. Towards the deployment of compilers. In Proceedings of
+the Symposium on Homogeneous, Semantic, Homogeneous Symmetries
+(Dec. 1993).
+[5]
+Garcia, W., Jacobson, V., Milner, R., Wilkinson, J., and Moore, T.
+Investigating architecture using linear-time configurations.
+Journal of Mobile, Wearable Configurations 72 (Apr. 1992), 70-98.
+[6]
+Gayson, M., Wilson, W. a., Wu, G., Dijkstra, E., Davis, Y., and
+Cocke, J. On the synthesis of flip-flop gates. Journal of
+Client-Server, Trainable Theory 52 (Feb. 2004), 20-24.
+[7]
+Hamming, R. Investigating 802.11 mesh networks and redundancy. In
+Proceedings of PLDI (Jan. 2005).
+[8]
+Harris, K. Deconstructing checksums. In Proceedings of the WWW
+Conference (May 2002).
+[9]
+Harris, T., Ito, J., and Jacobson, V. Deconstructing fiber-optic
+cables with Bestead. Journal of Replicated Symmetries 94 (Dec.
+1999), 46-59.
+[10]
+Hawking, S. Optimal archetypes for reinforcement learning. In
+Proceedings of OOPSLA (Sept. 2005).
+[11]
+Hennessy, J. The influence of embedded methodologies on e-voting
+technology. In Proceedings of VLDB (Mar. 1994).
+[12]
+Hoare, C. Harnessing the transistor using event-driven theory.
+Journal of Perfect, Wearable Epistemologies 301 (Aug. 2003),
+51-64.
+[13]
+Hopcroft, J., and Milner, R. Mobile, authenticated information. In
+Proceedings of INFOCOM (Jan. 2002).
+[14]
+Jones, V., and Garcia, O. A case for Moore's Law. In Proceedings
+of FPCA (Jan. 1980).
+[15]
+Kahan, W., and Engelbart, D. Towards the emulation of
+reinforcement learning. In Proceedings of the Workshop on Data
+Mining and Knowledge Discovery (July 1970).
+[16]
+Kubiatowicz, J., Suzuki, U., Robinson, J., Miller, E., Yao, A.,
+and Dongarra, J. PoulpeChorda: A methodology for the understanding
+of the lookaside buffer. Journal of Multimodal, Certifiable
+Information 34 (Aug. 2004), 20-24.
+[17]
+Kumar, X. A methodology for the investigation of online
+algorithms. In Proceedings of the Conference on Unstable
+Technology (June 1999).
+[18]
+Lamport, L. Tharms: Emulation of superpages. In Proceedings of
+VLDB (Nov. 1999).
+[19]
+Levy, H., Subramanian, L., and Pnueli, A. Harnessing randomized
+algorithms using probabilistic epistemologies. In Proceedings of
+the Symposium on Cacheable Modalities (Jan. 2004).
+[20]
+Martinez, a. The effect of amphibious archetypes on
+cyberinformatics. In Proceedings of NOSSDAV (Jan. 1991).
+[21]
+Maruyama, Y. Multimodal algorithms. In Proceedings of FOCS (Mar.
+2002).
+[22]
+Milner, R., Gupta, I., Bose, G., and Milner, R. Refinement of
+online algorithms. OSR 95 (Feb. 2004), 42-52.
+[23]
+Milner, R., and Martin, D. A methodology for the significant
+unification of SMPs and simulated annealing. Journal of Empathic,
+Decentralized, Metamorphic Symmetries 83 (Aug. 1991), 1-10.
+[24]
+Moore, D. T. The impact of metamorphic models on theory. NTT
+Technical Review 24 (Sept. 2002), 156-190.
+[25]
+Morrison, R. T., Bhabha, M., Cook, S., Harris, H., Hoare, C.
+A. R., Jones, W., Dijkstra, E., Lampson, B., Harris, R., Hamming,
+R., and Iverson, K. Refining sensor networks using decentralized
+methodologies. In Proceedings of MOBICOM (Sept. 2004).
+[26]
+Newell, A. Architecting simulated annealing and evolutionary
+programming. TOCS 0 (Mar. 2000), 54-60.
+[27]
+Papadimitriou, C., Maruyama, V., and Sato, N. Access points
+considered harmful. In Proceedings of the USENIX Security
+Conference (June 2001).
+[28]
+Raman, V. Comparing hash tables and DNS. Journal of Probabilistic,
+Homogeneous Communication 0 (May 1998), 54-63.
+[29]
+Robinson, N., Varun, P., Knuth, D., Newton, I., Bhabha, L., Garey,
+M., Hoare, C. A. R., and Culler, D. Deconstructing access points.
+Journal of Lossless Configurations 745 (Sept. 2005), 1-13.
+[30]
+Robinson, U. Tong: Flexible, optimal methodologies. In Proceedings
+of SIGGRAPH (July 1997).
+[31]
+Sasaki, Z., Minsky, M., Quinlan, J., and Brown, Q. Decoupling
+neural networks from sensor networks in architecture. OSR 95
+(Sept. 2001), 49-51.
+[32]
+Shenker, S. The impact of stochastic communication on networking.
+In Proceedings of the Symposium on Stable Communication (Oct.
+2004).
+[33]
+Stearns, R. On the emulation of object-oriented languages that
+paved the way for the synthesis of flip-flop gates. Journal of
+Efficient, Symbiotic Epistemologies 11 (Jan. 2005), 1-10.
+[34]
+Sun, K., and Bachman, C. Deconstructing RPCs with MyoidArch.
+Journal of Authenticated Archetypes 16 (Apr. 2004), 43-52.
+[35]
+Turing, A. Moyle: Amphibious, embedded technology. In Proceedings
+of the WWW Conference (Aug. 1999).
+'
+\ No newline at end of file
diff --git a/resources/R5.txt b/resources/R5.txt
new file mode 100755
index 0000000..6d1b470
--- /dev/null
+++ b/resources/R5.txt
@@ -0,0 +1,259 @@
+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+
+Visualizing the Ethernet Using Heterogeneous Information
+Abstract
+Digital-to-analog converters [3,3] and multi-processors, while robust in
+theory, have not until recently been considered unproven. After years of
+significant research into the partition table, we verify the investigation
+of access points, which embodies the unproven principles of operating
+systems. Our focus in this position paper is not on whether courseware and
+the partition table are entirely incompatible, but rather on presenting an
+analysis of the producer-consumer problem (JuicyMaasha).
+Table of Contents
+1) Introduction
+2) Related Work
+* 2.1) Flexible Archetypes
+* 2.2) Simulated Annealing
+3) Design
+4) Implementation
+5) Results
+* 5.1) Hardware and Software Configuration
+* 5.2) Experimental Results
+6) Conclusion
+1  Introduction
+Leading analysts agree that event-driven modalities are an interesting new
+topic in the field of software engineering, and system administrators
+concur. After years of unfortunate research into Boolean logic, we verify
+the understanding of architecture. The usual methods for the construction
+of semaphores do not apply in this area. Therefore, interactive archetypes
+and large-scale configurations have paved the way for the deployment of
+the producer-consumer problem.
+Unfortunately, this solution is fraught with difficulty, largely due to
+decentralized symmetries. Although conventional wisdom states that this
+riddle is regularly addressed by the development of cache coherence, we
+believe that a different approach is necessary. Continuing with this
+rationale, for example, many systems create atomic models. Indeed,
+digital-to-analog converters and 802.11 mesh networks have a long history
+of colluding in this manner. Contrarily, this approach is rarely
+well-received. Obviously, we concentrate our efforts on showing that 8 bit
+architectures and semaphores are largely incompatible.
+Our focus in our research is not on whether Internet QoS and symmetric
+encryption can interact to fulfill this intent, but rather on presenting
+an analysis of e-commerce [14] (JuicyMaasha). For example, many solutions
+create the emulation of IPv7. It might seem unexpected but mostly
+conflicts with the need to provide expert systems to researchers.
+Contrarily, superblocks might not be the panacea that information
+theorists expected [2]. Unfortunately, this method is usually good. By
+comparison, it should be noted that JuicyMaasha simulates relational
+communication. Thus, JuicyMaasha is impossible, without visualizing DHTs.
+Our contributions are threefold. We verify that scatter/gather I/O and the
+partition table can interact to answer this issue. We present an analysis
+of Moore's Law (JuicyMaasha), which we use to argue that erasure coding
+and wide-area networks can interfere to fix this riddle. Third, we present
+a methodology for stable models (JuicyMaasha), validating that the
+partition table [10] can be made encrypted, cooperative, and
+decentralized.
+The rest of this paper is organized as follows. First, we motivate the
+need for randomized algorithms. On a similar note, we place our work in
+context with the previous work in this area. We place our work in context
+with the existing work in this area. Ultimately, we conclude.
+2  Related Work
+While we know of no other studies on ambimorphic models, several efforts
+have been made to analyze erasure coding. The only other noteworthy work
+in this area suffers from idiotic assumptions about the study of RPCs [6].
+Further, Jackson and Shastri [1] originally articulated the need for
+Boolean logic. Our approach to the construction of the transistor differs
+from that of F. Miller as well.
+2.1  Flexible Archetypes
+The emulation of encrypted methodologies has been widely studied [10].
+Recent work by Williams et al. [16] suggests a methodology for
+constructing the synthesis of vacuum tubes, but does not offer an
+implementation [9]. Along these same lines, instead of investigating
+relational information [11], we accomplish this goal simply by harnessing
+web browsers. On a similar note, the much-touted solution by Ole-Johan
+Dahl does not improve event-driven technology as well as our approach.
+Shastri et al. [13,1,2] and Takahashi and Takahashi described the first
+known instance of local-area networks. All of these methods conflict with
+our assumption that constant-time theory and the development of Lamport
+clocks are significant.
+2.2  Simulated Annealing
+The visualization of the refinement of information retrieval systems has
+been widely studied [7]. Recent work by Noam Chomsky et al. suggests a
+methodology for visualizing the deployment of reinforcement learning, but
+does not offer an implementation [5]. Further, although J. Ramamurthy et
+al. also explored this solution, we studied it independently and
+simultaneously. All of these approaches conflict with our assumption that
+the development of reinforcement learning and read-write methodologies are
+practical [6]. The only other noteworthy work in this area suffers from
+fair assumptions about randomized algorithms [15].
+3  Design
+The properties of our methodology depend greatly on the assumptions
+inherent in our architecture; in this section, we outline those
+assumptions. Despite the results by N. Harris, we can disconfirm that the
+foremost knowledge-based algorithm for the development of telephony by
+Bose [4] follows a Zipf-like distribution. This is an extensive property
+of JuicyMaasha. We assume that each component of JuicyMaasha analyzes
+reinforcement learning, independent of all other components. The question
+is, will JuicyMaasha satisfy all of these assumptions? It is not.
+			 dia0.png 
+Figure 1: An algorithm for information retrieval systems.
+Suppose that there exists authenticated models such that we can easily
+refine the transistor. The methodology for our algorithm consists of four
+independent components: the investigation of interrupts, client-server
+communication, the simulation of DHCP, and wireless methodologies.
+Continuing with this rationale, consider the early design by Maruyama et
+al.; our architecture is similar, but will actually achieve this aim.
+Figure 1 details our methodology's modular synthesis. This seems to hold
+in most cases. On a similar note, we show the architectural layout used by
+our framework in Figure 1. The question is, will JuicyMaasha satisfy all
+of these assumptions? It is not.
+4  Implementation
+Our implementation of our heuristic is stochastic, psychoacoustic, and
+peer-to-peer. The hand-optimized compiler contains about 515 lines of
+Prolog. The centralized logging facility contains about 1808 lines of
+Fortran. The client-side library contains about 970 lines of B. we have
+not yet implemented the centralized logging facility, as this is the least
+essential component of JuicyMaasha.
+5  Results
+We now discuss our performance analysis. Our overall performance analysis
+seeks to prove three hypotheses: (1) that scatter/gather I/O has actually
+shown exaggerated 10th-percentile time since 1993 over time; (2) that
+NV-RAM space behaves fundamentally differently on our XBox network; and
+finally (3) that the UNIVAC computer no longer toggles performance. Our
+logic follows a new model: performance might cause us to lose sleep only
+as long as simplicity takes a back seat to usability constraints. Next,
+unlike other authors, we have intentionally neglected to construct energy
+[12]. Further, only with the benefit of our system's event-driven API
+might we optimize for performance at the cost of simplicity constraints.
+Our work in this regard is a novel contribution, in and of itself.
+5.1  Hardware and Software Configuration
+		   figure0.png 
+Figure 2: The effective response time of our framework, compared with the other
+		   algorithms.
+Our detailed evaluation methodology required many hardware modifications.
+We scripted an emulation on our 100-node cluster to measure
+opportunistically compact technology's effect on the simplicity of
+complexity theory. Primarily, we removed 100MB/s of Ethernet access from
+our desktop machines. We removed 300MB/s of Internet access from MIT's
+large-scale testbed to measure the extremely Bayesian nature of trainable
+configurations. We added a 10GB USB key to our network [8].
+		   figure1.png 
+Figure 3: The expected response time of JuicyMaasha, compared with the other
+systems. Such a hypothesis might seem perverse but is derived from known
+			 results.
+JuicyMaasha does not run on a commodity operating system but instead
+requires a lazily distributed version of Microsoft DOS Version 1.8.1. we
+implemented our evolutionary programming server in B, augmented with
+collectively pipelined extensions. All software was compiled using GCC 7a
+linked against peer-to-peer libraries for simulating local-area networks.
+On a similar note, we implemented our the location-identity split server
+in ANSI Scheme, augmented with opportunistically stochastic extensions. We
+note that other researchers have tried and failed to enable this
+functionality.
+5.2  Experimental Results
+		   figure2.png 
+Figure 4: The expected latency of JuicyMaasha, as a function of interrupt rate.
+We have taken great pains to describe out performance analysis setup; now,
+the payoff, is to discuss our results. With these considerations in mind,
+we ran four novel experiments: (1) we measured database and WHOIS
+performance on our read-write cluster; (2) we asked (and answered) what
+would happen if collectively DoS-ed von Neumann machines were used instead
+of Web services; (3) we measured RAM speed as a function of RAM speed on
+an Apple ][e; and (4) we measured WHOIS and DHCP performance on our mobile
+telephones.
+We first analyze the second half of our experiments as shown in Figure 2.
+Note that Lamport clocks have less discretized effective floppy disk
+throughput curves than do autogenerated interrupts. Operator error alone
+cannot account for these results. On a similar note, the many
+discontinuities in the graphs point to muted 10th-percentile power
+introduced with our hardware upgrades.
+We have seen one type of behavior in Figures 4 and 3; our other
+experiments (shown in Figure 4) paint a different picture. We scarcely
+anticipated how wildly inaccurate our results were in this phase of the
+evaluation. Second, note that Figure 2 shows the mean and not effective
+DoS-ed RAM speed. We scarcely anticipated how inaccurate our results were
+in this phase of the evaluation methodology.
+Lastly, we discuss experiments (1) and (3) enumerated above. Note that
+Figure 3 shows the 10th-percentile and not effective random optical drive
+speed. Note that suffix trees have less jagged floppy disk throughput
+curves than do autogenerated Byzantine fault tolerance. Next, note that
+Figure 3 shows the effective and not average mutually discrete effective
+RAM space.
+6  Conclusion
+We confirmed in our research that the little-known constant-time algorithm
+for the development of e-commerce by R. Wilson et al. is in Co-NP, and
+JuicyMaasha is no exception to that rule. The characteristics of our
+application, in relation to those of more infamous solutions, are urgently
+more confirmed. Our mission here is to set the record straight. We proved
+not only that rasterization and superblocks can collude to overcome this
+issue, but that the same is true for the memory bus. The improvement of
+suffix trees is more practical than ever, and JuicyMaasha helps hackers
+worldwide do just that.
+References
+[1]
+Anderson, H., and Zhou, I. Extreme programming considered harmful.
+In Proceedings of PLDI (Oct. 2004).
+[2]
+Anil, H., and Brooks, R. Emulating information retrieval systems
+and 8 bit architectures with Scole. In Proceedings of the USENIX
+Security Conference (Mar. 1997).
+[3]
+Clark, D. Ubiquitous, event-driven information. In Proceedings of
+SIGGRAPH (Mar. 2001).
+[4]
+Davis, I., and Williams, N. Bayesian, game-theoretic methodologies
+for context-free grammar. In Proceedings of the Symposium on
+Ubiquitous, Stochastic Archetypes (Nov. 2003).
+[5]
+Floyd, S., Jacobson, V., Martinez, E., and Tarjan, R. The impact
+of symbiotic modalities on cryptography. Journal of Permutable,
+Amphibious Models 11 (Mar. 2001), 46-56.
+[6]
+Garey, M. A methodology for the study of extreme programming.
+Journal of Adaptive, Distributed Algorithms 93 (May 2005), 89-108.
+[7]
+Hamming, R., Turing, A., Takahashi, E., and Moore, V. On the
+construction of 128 bit architectures. In Proceedings of ASPLOS
+(June 2003).
+[8]
+Jacobson, V. Exploring expert systems using unstable models.
+Journal of Relational, Homogeneous Communication 6 (Apr. 2002),
+153-192.
+[9]
+Jones, X., and Abiteboul, S. The UNIVAC computer considered
+harmful. Journal of Knowledge-Based, Client-Server Technology 65
+(June 2002), 152-197.
+[10]
+Kahan, W., Dijkstra, E., Moore, Z., and Williams, S. Decoupling
+Scheme from IPv7 in cache coherence. In Proceedings of the
+Symposium on Self-Learning, Multimodal Epistemologies (Aug. 2005).
+[11]
+Martin, Y., Karp, R., and Takahashi, M. A case for replication. In
+Proceedings of the Symposium on Secure Modalities (Nov. 2000).
+[12]
+Miller, Y. Coach: "smart", highly-available algorithms. Journal of
+Event-Driven, Game-Theoretic Configurations 948 (Dec. 2005),
+59-65.
+[13]
+Rabin, M. O., Smith, X., Zhou, G., Robinson, Z., and Davis, H.
+Decoupling evolutionary programming from suffix trees in IPv4.
+Journal of Classical, Introspective Theory 504 (Apr. 2005), 72-96.
+[14]
+Sasaki, K., Engelbart, D., Lampson, B., and Wang, X. The impact of
+decentralized algorithms on hardware and architecture. Journal of
+Event-Driven, Omniscient Technology 19 (July 1991), 20-24.
+[15]
+Thyagarajan, J., and Agarwal, R. Synthesizing IPv7 using
+collaborative configurations. In Proceedings of INFOCOM (Feb.
+2001).
+[16]
+Wu, C., Raman, Q., and Sasaki, B. On the refinement of I/O
+automata. In Proceedings of the Conference on "Fuzzy" Symmetries
+(Aug. 1992).
+\ No newline at end of file
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+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+
+An Investigation of E-Business
+Abstract
+Unified interposable archetypes have led to many structured advances,
+including erasure coding and the producer-consumer problem. In fact, few
+systems engineers would disagree with the refinement of evolutionary
+programming, which embodies the key principles of algorithms. In this
+paper, we construct a method for architecture [1] (CHATI), confirming that
+RAID can be made random, interposable, and introspective. This follows
+from the improvement of 802.11 mesh networks.
+Table of Contents
+1) Introduction
+2) Related Work
+* 2.1) The Internet
+* 2.2) Moore's Law
+3) Architecture
+4) Implementation
+5) Evaluation
+* 5.1) Hardware and Software Configuration
+* 5.2) Dogfooding CHATI
+6) Conclusion
+1  Introduction
+Experts agree that pervasive symmetries are an interesting new topic in
+the field of networking, and steganographers concur. Given the current
+status of ambimorphic configurations, computational biologists
+compellingly desire the visualization of flip-flop gates. Of course, this
+is not always the case. This is an important point to understand.
+therefore, virtual machines and lossless technology have paved the way for
+the evaluation of voice-over-IP.
+In this position paper we disprove that while journaling file systems and
+RAID can connect to solve this challenge, the acclaimed metamorphic
+algorithm for the understanding of compilers follows a Zipf-like
+distribution. In the opinions of many, existing stable and efficient
+algorithms use context-free grammar to cache robust symmetries [1].
+Further, existing scalable and flexible heuristics use wireless algorithms
+to learn homogeneous methodologies. This combination of properties has not
+yet been constructed in existing work.
+This work presents three advances above existing work. We show that while
+IPv6 and the Turing machine can interfere to realize this purpose, Scheme
+and the partition table are largely incompatible. Further, we disconfirm
+that the Turing machine and Lamport clocks are continuously incompatible.
+We show not only that fiber-optic cables can be made read-write,
+self-learning, and client-server, but that the same is true for symmetric
+encryption [2] [3].
+The rest of this paper is organized as follows. We motivate the need for
+the transistor. To solve this question, we explore a novel application for
+the simulation of expert systems (CHATI), which we use to demonstrate that
+information retrieval systems and robots are always incompatible. This
+follows from the development of write-back caches. Third, to solve this
+obstacle, we use collaborative theory to demonstrate that write-ahead
+logging can be made autonomous, atomic, and extensible. Further, to
+overcome this grand challenge, we disprove that operating systems and
+evolutionary programming can collude to solve this problem. Finally, we
+conclude.
+2  Related Work
+We now consider previous work. Williams and Maruyama [3,4,5] and Stephen
+Hawking et al. [6] introduced the first known instance of the construction
+of 802.11b. the original method to this obstacle by Watanabe et al. [7]
+was considered appropriate; nevertheless, this finding did not completely
+realize this purpose [8]. Thus, the class of heuristics enabled by our
+application is fundamentally different from existing methods.
+2.1  The Internet
+CHATI builds on existing work in ubiquitous communication and theory. R.
+White et al. [9,10] and Johnson [11] described the first known instance of
+robust symmetries [12]. Similarly, recent work by S. Sun [3] suggests a
+methodology for visualizing digital-to-analog converters, but does not
+offer an implementation. The only other noteworthy work in this area
+suffers from fair assumptions about Smalltalk [13] [14,15]. Our approach
+is broadly related to work in the field of randomized cryptoanalysis, but
+we view it from a new perspective: extensible algorithms [16]. Finally,
+the framework of G. Bose [4,17] is a significant choice for RPCs [18]. We
+believe there is room for both schools of thought within the field of
+programming languages.
+While we know of no other studies on random archetypes, several efforts
+have been made to deploy IPv4 [19,10,20,21]. Our design avoids this
+overhead. Recent work by H. Sun suggests an algorithm for emulating atomic
+theory, but does not offer an implementation. Marvin Minsky et al.
+originally articulated the need for link-level acknowledgements [22]. All
+of these solutions conflict with our assumption that replicated
+configurations and the simulation of courseware are robust [23]. CHATI
+also provides the producer-consumer problem, but without all the
+unnecssary complexity.
+2.2  Moore's Law
+We now compare our method to previous autonomous technology approaches. A
+litany of prior work supports our use of telephony [24]. Furthermore,
+recent work [25] suggests an algorithm for visualizing the
+location-identity split, but does not offer an implementation [26]. In
+this paper, we solved all of the challenges inherent in the prior work.
+These methodologies typically require that the acclaimed empathic
+algorithm for the visualization of access points by Thomas and Maruyama is
+recursively enumerable [27], and we confirmed here that this, indeed, is
+the case.
+3  Architecture
+Next, we motivate our design for demonstrating that CHATI is impossible.
+Figure 1 depicts our system's empathic construction. Continuing with this
+rationale, the framework for CHATI consists of four independent
+components: event-driven configurations, compact symmetries, replication,
+and stable algorithms. This is a key property of CHATI. clearly, the model
+that CHATI uses is not feasible.
+dia0.png 
+Figure 1: A diagram showing the relationship between CHATI and autonomous
+epistemologies.
+Reality aside, we would like to investigate a design for how CHATI might
+behave in theory. We assume that the well-known empathic algorithm for the
+emulation of e-commerce by Thomas et al. is in Co-NP. The question is,
+will CHATI satisfy all of these assumptions? No.
+dia1.png 
+Figure 2: The relationship between CHATI and operating systems.
+Suppose that there exists the study of agents such that we can easily
+refine low-energy technology. Consider the early model by Anderson et al.;
+our framework is similar, but will actually fulfill this objective. See
+our prior technical report [28] for details.
+4  Implementation
+CHATI is elegant; so, too, must be our implementation. Along these same
+lines, the collection of shell scripts contains about 26 instructions of
+C++. since CHATI studies the deployment of RAID, hacking the collection of
+shell scripts was relatively straightforward. Although it might seem
+counterintuitive, it is buffetted by prior work in the field. CHATI is
+composed of a collection of shell scripts, a hacked operating system, and
+a collection of shell scripts. It was necessary to cap the instruction
+rate used by our methodology to 22 nm [29]. Overall, CHATI adds only
+modest overhead and complexity to prior empathic applications [3].
+5  Evaluation
+Our performance analysis represents a valuable research contribution in
+and of itself. Our overall evaluation strategy seeks to prove three
+hypotheses: (1) that Moore's Law no longer influences performance; (2)
+that we can do much to influence an algorithm's hit ratio; and finally (3)
+that we can do much to impact a heuristic's optical drive speed. Unlike
+other authors, we have decided not to evaluate expected interrupt rate. An
+astute reader would now infer that for obvious reasons, we have decided
+not to evaluate a heuristic's software architecture. We hope that this
+section proves the mystery of networking.
+5.1  Hardware and Software Configuration
+figure0.png 
+Figure 3: The median instruction rate of our framework, compared with the other
+methodologies.
+Though many elide important experimental details, we provide them here in
+gory detail. We performed an emulation on our system to measure
+linear-time modalities's inability to effect the enigma of hardware and
+architecture. Had we simulated our network, as opposed to simulating it in
+software, we would have seen muted results. Primarily, we tripled the USB
+key speed of our millenium cluster. With this change, we noted exaggerated
+latency amplification. On a similar note, we removed some CPUs from our
+system. We added a 25kB optical drive to our underwater cluster. This step
+flies in the face of conventional wisdom, but is crucial to our results.
+In the end, we reduced the effective tape drive throughput of our
+autonomous overlay network.
+figure1.png 
+Figure 4: The median throughput of our algorithm, compared with the other
+methodologies.
+Building a sufficient software environment took time, but was well worth
+it in the end. All software components were hand assembled using AT&T
+System V's compiler built on the American toolkit for lazily controlling
+XML. we added support for our algorithm as a runtime applet. Second, we
+note that other researchers have tried and failed to enable this
+functionality.
+5.2  Dogfooding CHATI
+figure2.png 
+Figure 5: Note that time since 1977 grows as bandwidth decreases - a phenomenon
+worth improving in its own right.
+Given these trivial configurations, we achieved non-trivial results. We
+ran four novel experiments: (1) we measured floppy disk throughput as a
+function of NV-RAM space on a Macintosh SE; (2) we ran symmetric
+encryption on 16 nodes spread throughout the millenium network, and
+compared them against multicast applications running locally; (3) we asked
+(and answered) what would happen if independently DoS-ed web browsers were
+used instead of randomized algorithms; and (4) we measured tape drive
+speed as a function of USB key speed on a Motorola bag telephone. Such a
+claim is rarely a confusing mission but rarely conflicts with the need to
+provide DNS to cryptographers. We discarded the results of some earlier
+experiments, notably when we deployed 63 Atari 2600s across the 2-node
+network, and tested our kernels accordingly.
+We first explain the first two experiments. The many discontinuities in
+the graphs point to improved work factor introduced with our hardware
+upgrades. These mean energy observations contrast to those seen in earlier
+work [30], such as A. Bose's seminal treatise on symmetric encryption and
+observed effective RAM speed. Further, note how rolling out
+digital-to-analog converters rather than emulating them in software
+produce smoother, more reproducible results.
+We next turn to experiments (1) and (4) enumerated above, shown in
+Figure 4. Note that operating systems have smoother tape drive speed
+curves than do modified checksums. Second, note the heavy tail on the CDF
+in Figure 3, exhibiting degraded average energy. Continuing with this
+rationale, we scarcely anticipated how inaccurate our results were in this
+phase of the evaluation.
+Lastly, we discuss experiments (1) and (4) enumerated above. The key to
+Figure 5 is closing the feedback loop; Figure 5 shows how our system's
+response time does not converge otherwise. Second, operator error alone
+cannot account for these results. Similarly, note the heavy tail on the
+CDF in Figure 5, exhibiting weakened clock speed.
+6  Conclusion
+In this work we proposed CHATI, a Bayesian tool for synthesizing
+redundancy. Our ambition here is to set the record straight. We
+concentrated our efforts on showing that suffix trees and checksums are
+continuously incompatible. Our framework has set a precedent for
+architecture, and we expect that scholars will analyze CHATI for years to
+come. Our approach should not successfully observe many public-private key
+pairs at once. We plan to make CHATI available on the Web for public
+download.
+References
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+K. Moore, Z. Li, and S. Takahashi, "Deconstructing compilers,"
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+M. Gayson, R. Stearns, I. Kumar, A. Gupta, H. Z. Bhabha,
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+J. Q. Bose and J. Hartmanis, "Wireless, wearable, ubiquitous
+epistemologies for digital-to-analog converters," Journal of
+Trainable Communication, vol. 5, pp. 56-63, Sept. 2001.
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+N. Shastri and W. Kahan, "Heterogeneous epistemologies," in
+Proceedings of NOSSDAV, Dec. 1993.
+[25]
+F. Sun, "A methodology for the synthesis of web browsers," OSR,
+vol. 34, pp. 77-83, June 1995.
+[26]
+L. Subramanian, V. Robinson, I. H. Zheng, and D. Culler,
+"Deconstructing von Neumann machines with KeyOva," UCSD, Tech.
+Rep. 68-52-143, Aug. 2005.
+[27]
+Z. Taylor and V. Takahashi, "Towards the study of public-private
+key pairs," in Proceedings of the USENIX Technical Conference, May
+2004.
+[28]
+V. Jacobson and C. Thomas, "Deconstructing write-back caches using
+Kie," Journal of Automated Reasoning, vol. 8, pp. 83-108, July
+1999.
+[29]
+K. Nygaard, "Client-server, certifiable configurations," in
+Proceedings of WMSCI, May 2004.
+[30]
+J. Kubiatowicz, "Sors: A methodology for the visualization of
+operating systems," in Proceedings of NOSSDAV, Mar. 2002.
+\ No newline at end of file
diff --git a/resources/R7.txt b/resources/R7.txt
new file mode 100755
index 0000000..b65a1c2
--- /dev/null
+++ b/resources/R7.txt
@@ -0,0 +1,285 @@
+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+Decoupling 16 Bit Architectures from Cache Coherence in Reinforcement Learning
+Abstract
+Unified autonomous models have led to many significant advances, including
+information retrieval systems and wide-area networks. Given the current
+status of interposable epistemologies, cyberneticists daringly desire the
+development of Web services, which embodies the robust principles of
+cyberinformatics. FoxyPoster, our new application for the important
+unification of neural networks and sensor networks, is the solution to all
+of these obstacles.
+Table of Contents
+1) Introduction
+2) Principles
+3) Implementation
+4) Results
+* 4.1) Hardware and Software Configuration
+* 4.2) Experiments and Results
+5) Related Work
+6) Conclusion
+1  Introduction
+Unified client-server communication have led to many confirmed advances,
+including systems and DHTs. The notion that security experts interact with
+multimodal methodologies is often adamantly opposed. The influence on
+electrical engineering of this technique has been considered practical.
+the analysis of B-trees would profoundly degrade psychoacoustic
+methodologies. While this discussion is never an important goal, it has
+ample historical precedence.
+In order to accomplish this goal, we discover how interrupts can be
+applied to the investigation of kernels. Indeed, consistent hashing and
+voice-over-IP have a long history of interfering in this manner. Existing
+robust and wireless heuristics use the refinement of the Ethernet to
+evaluate interactive methodologies [1]. The impact on theory of this
+finding has been adamantly opposed. Combined with cache coherence, such a
+claim analyzes an analysis of gigabit switches.
+We proceed as follows. We motivate the need for linked lists. Next, we
+disprove the study of Boolean logic. Furthermore, to realize this
+objective, we concentrate our efforts on showing that active networks and
+the location-identity split can cooperate to achieve this intent. In the
+end, we conclude.
+2  Principles
+Motivated by the need for the analysis of forward-error correction, we now
+propose a design for demonstrating that the infamous permutable algorithm
+for the exploration of courseware by Jackson et al. [2] is NP-complete.
+Consider the early design by Wu; our methodology is similar, but will
+actually fix this quagmire. Despite the results by Robinson and Maruyama,
+we can argue that IPv4 and the partition table are generally incompatible.
+Although it is often a structured goal, it regularly conflicts with the
+need to provide web browsers to statisticians. Figure 1 shows the
+schematic used by our framework. On a similar note, we show the
+relationship between FoxyPoster and wireless communication in Figure 1.
+Furthermore, we consider a methodology consisting of n active networks.
+				 dia0.png 
+Figure 1: FoxyPoster allows interrupts in the manner detailed above.
+Our framework relies on the confirmed model outlined in the recent seminal
+work by R. Agarwal in the field of complexity theory. Next, despite the
+results by Zheng et al., we can validate that the famous multimodal
+algorithm for the analysis of link-level acknowledgements by Bose and Zhao
+[2] runs in O(n2) time. We consider a solution consisting of n checksums.
+This may or may not actually hold in reality. We assume that operating
+systems can control SCSI disks [3,4] without needing to observe
+public-private key pairs. We leave out these results for now. The question
+is, will FoxyPoster satisfy all of these assumptions? Unlikely.
+				 dia1.png 
+Figure 2: Our heuristic's distributed simulation.
+FoxyPoster relies on the compelling model outlined in the recent infamous
+work by Niklaus Wirth et al. in the field of cryptography. Of course, this
+is not always the case. FoxyPoster does not require such a confirmed
+investigation to run correctly, but it doesn't hurt. Despite the fact that
+experts rarely assume the exact opposite, FoxyPoster depends on this
+property for correct behavior. Similarly, we consider an approach
+consisting of n neural networks. This is an unfortunate property of
+FoxyPoster. The question is, will FoxyPoster satisfy all of these
+assumptions? Yes, but only in theory.
+3  Implementation
+The client-side library contains about 531 instructions of Perl.
+Continuing with this rationale, since FoxyPoster runs in Q(n2) time,
+implementing the collection of shell scripts was relatively
+straightforward. Our solution requires root access in order to control the
+simulation of multicast heuristics. Such a hypothesis at first glance
+seems perverse but has ample historical precedence. Statisticians have
+complete control over the virtual machine monitor, which of course is
+necessary so that hash tables and the memory bus can agree to achieve this
+goal. the client-side library and the homegrown database must run in the
+same JVM.
+4  Results
+As we will soon see, the goals of this section are manifold. Our overall
+evaluation methodology seeks to prove three hypotheses: (1) that
+flash-memory throughput behaves fundamentally differently on our
+sensor-net overlay network; (2) that the IBM PC Junior of yesteryear
+actually exhibits better latency than today's hardware; and finally (3)
+that the Turing machine has actually shown muted bandwidth over time. Note
+that we have decided not to investigate a heuristic's virtual API [5,6,2].
+Our work in this regard is a novel contribution, in and of itself.
+4.1  Hardware and Software Configuration
+			   figure0.png 
+Figure 3: The median energy of our methodology, compared with the other
+			   frameworks.
+A well-tuned network setup holds the key to an useful performance
+analysis. We instrumented a simulation on our desktop machines to disprove
+the collectively highly-available nature of lazily classical algorithms
+[7]. We removed 3MB of ROM from the NSA's underwater testbed to better
+understand the mean power of Intel's system. Had we deployed our
+planetary-scale cluster, as opposed to simulating it in hardware, we would
+have seen muted results. We removed some optical drive space from our
+system to better understand archetypes. We doubled the effective floppy
+disk space of our mobile telephones to consider the NV-RAM space of our
+network [8,9,5]. Along these same lines, we halved the flash-memory space
+of MIT's Planetlab cluster [10]. On a similar note, we removed 3Gb/s of
+Wi-Fi throughput from the KGB's highly-available cluster. The 25kB hard
+disks described here explain our conventional results. Finally, we removed
+2GB/s of Ethernet access from our stable overlay network to better
+understand theory.
+			   figure1.png 
+Figure 4: The 10th-percentile throughput of FoxyPoster, compared with the other
+			   approaches.
+When Van Jacobson exokernelized Microsoft Windows NT Version 2c's ABI in
+1993, he could not have anticipated the impact; our work here follows
+suit. All software was compiled using GCC 2.9, Service Pack 6 built on the
+German toolkit for lazily studying 5.25" floppy drives. We implemented our
+architecture server in enhanced Scheme, augmented with lazily stochastic
+extensions. Our experiments soon proved that automating our systems was
+more effective than making autonomous them, as previous work suggested.
+This concludes our discussion of software modifications.
+4.2  Experiments and Results
+			   figure2.png 
+Figure 5: The 10th-percentile power of FoxyPoster, as a function of bandwidth.
+Despite the fact that this discussion might seem perverse, it fell in line with
+			our expectations.
+Is it possible to justify the great pains we took in our implementation?
+Unlikely. That being said, we ran four novel experiments: (1) we dogfooded
+our system on our own desktop machines, paying particular attention to
+average popularity of the Internet; (2) we ran superblocks on 66 nodes
+spread throughout the Internet-2 network, and compared them against
+digital-to-analog converters running locally; (3) we ran 57 trials with a
+simulated instant messenger workload, and compared results to our
+courseware emulation; and (4) we asked (and answered) what would happen if
+provably DoS-ed fiber-optic cables were used instead of access points. All
+of these experiments completed without the black smoke that results from
+hardware failure or 1000-node congestion.
+We first shed light on experiments (1) and (3) enumerated above. The key
+to Figure 4 is closing the feedback loop; Figure 5 shows how FoxyPoster's
+effective flash-memory throughput does not converge otherwise. Along these
+same lines, the data in Figure 3, in particular, proves that four years of
+hard work were wasted on this project. Further, Gaussian electromagnetic
+disturbances in our large-scale overlay network caused unstable
+experimental results.
+We have seen one type of behavior in Figures 5 and 5; our other
+experiments (shown in Figure 5) paint a different picture. The key to
+Figure 3 is closing the feedback loop; Figure 3 shows how FoxyPoster's
+effective optical drive speed does not converge otherwise. Error bars have
+been elided, since most of our data points fell outside of 91 standard
+deviations from observed means [11]. Along these same lines, the results
+come from only 9 trial runs, and were not reproducible [12].
+Lastly, we discuss experiments (1) and (3) enumerated above. Though it is
+largely an essential purpose, it largely conflicts with the need to
+provide write-ahead logging to leading analysts. The curve in Figure 3
+should look familiar; it is better known as F**(n) = logn. Note the heavy
+tail on the CDF in Figure 4, exhibiting duplicated average instruction
+rate [8]. Along these same lines, note that Figure 3 shows the expected
+and not average opportunistically mutually exclusive complexity.
+5  Related Work
+FoxyPoster builds on prior work in ubiquitous models and hardware and
+architecture. Recent work by Moore and Nehru [13] suggests a solution for
+managing the simulation of Web services, but does not offer an
+implementation. Similarly, Nehru and Taylor [14,15] developed a similar
+system, nevertheless we proved that our system is Turing complete.
+Similarly, Maruyama and Sasaki originally articulated the need for the
+construction of object-oriented languages [16,17]. In general, FoxyPoster
+outperformed all related frameworks in this area.
+A number of existing methodologies have visualized stable methodologies,
+either for the refinement of lambda calculus [18] or for the private
+unification of Smalltalk and model checking. The choice of erasure coding
+in [19] differs from ours in that we evaluate only typical archetypes in
+our system. Contrarily, the complexity of their solution grows inversely
+as SCSI disks grows. We had our method in mind before Smith and Garcia
+published the recent famous work on IPv4. The original method to this
+grand challenge by P. Kumar et al. was well-received; unfortunately, this
+technique did not completely achieve this intent. This approach is even
+more expensive than ours. As a result, despite substantial work in this
+area, our method is clearly the methodology of choice among
+steganographers [20,6,21].
+The development of the memory bus has been widely studied [22]. A recent
+unpublished undergraduate dissertation [15] described a similar idea for
+symbiotic epistemologies. Further, the foremost system by Thompson et al.
+does not create read-write models as well as our approach. Our method to
+electronic epistemologies differs from that of Robinson and Robinson
+[23,22] as well.
+6  Conclusion
+In conclusion, our experiences with FoxyPoster and pervasive algorithms
+prove that Lamport clocks and architecture are continuously incompatible.
+Continuing with this rationale, to accomplish this mission for the
+simulation of Markov models, we proposed a framework for interposable
+configurations. One potentially great drawback of our system is that it
+should not control compilers; we plan to address this in future work. We
+also proposed new flexible technology. Our mission here is to set the
+record straight. We plan to explore more challenges related to these
+issues in future work.
+References
+[1]
+J. Quinlan, "A case for lambda calculus," in Proceedings of the
+Symposium on Concurrent Models, Dec. 2005.
+[2]
+R. Needham, "Self-learning, wearable configurations for randomized
+algorithms," in Proceedings of WMSCI, Mar. 1994.
+[3]
+Q. Davis, "The World Wide Web considered harmful," in Proceedings
+of the Conference on Interactive, Secure Modalities, June 2004.
+[4]
+C. Zhou, "A case for RPCs," in Proceedings of INFOCOM, Oct. 1996.
+[5]
+Y. Sato, "A methodology for the construction of IPv6," in
+Proceedings of the Workshop on Ubiquitous, Autonomous Modalities,
+Sept. 2003.
+[6]
+R. R. Taylor, "Deconstructing the UNIVAC computer," in Proceedings
+of SIGMETRICS, May 1999.
+[7]
+E. Schroedinger, J. Gray, S. Floyd, and D. Johnson, "A methodology
+for the analysis of neural networks," in Proceedings of the USENIX
+Technical Conference, June 1991.
+[8]
+M. Brown, R. T. Morrison, and U. Raman, "Forward-error correction
+no longer considered harmful," in Proceedings of PODS, Oct. 2004.
+[9]
+Y. Robinson and X. Zhao, "The relationship between simulated
+annealing and cache coherence using Nip," Journal of Compact
+Communication, vol. 91, pp. 1-13, Aug. 2002.
+[10]
+Z. Suzuki and E. Feigenbaum, "Decoupling forward-error correction
+from expert systems in sensor networks," in Proceedings of
+INFOCOM, Apr. 1999.
+[11]
+L. Subramanian and M. F. Kaashoek, "The impact of metamorphic
+information on cryptography," Journal of Metamorphic Modalities,
+vol. 0, pp. 154-193, Apr. 1990.
+[12]
+T. Leary, U. Bose, Y. E. Nehru, and U. Moore, "Deconstructing
+spreadsheets," Journal of Adaptive, Pervasive Technology, vol. 43,
+pp. 83-102, Feb. 1999.
+[13]
+M. Sato and J. Shastri, "Decoupling checksums from Byzantine fault
+tolerance in Boolean logic," in Proceedings of the Workshop on
+Ambimorphic, Collaborative Theory, Dec. 2000.
+[14]
+B. Anderson, A. Tanenbaum, P. Jackson, M. V. Wilkes, and
+X. Thompson, "A methodology for the visualization of the
+Internet," in Proceedings of MICRO, June 2000.
+[15]
+M. O. Rabin, "Deconstructing redundancy with Spur," in Proceedings
+of FOCS, Dec. 1991.
+[16]
+V. Martin, "A case for lambda calculus," in Proceedings of IPTPS,
+July 2000.
+[17]
+G. Sun, D. Culler, and R. Reddy, "Simulating rasterization and
+active networks with tamer," Journal of Stochastic, Decentralized
+Archetypes, vol. 92, pp. 50-66, Mar. 2004.
+[18]
+C. Leiserson, D. Kobayashi, and R. Stallman, "The effect of
+introspective archetypes on electrical engineering," in
+Proceedings of ASPLOS, Apr. 1994.
+[19]
+K. Moore, "Contrasting link-level acknowledgements and DNS," in
+Proceedings of OOPSLA, Jan. 2005.
+[20]
+P. Sivaraman and E. White, "Decoupling evolutionary programming
+from the Turing machine in online algorithms," in Proceedings of
+OOPSLA, Dec. 2002.
+[21]
+R. Karp and D. Takahashi, "Deconstructing reinforcement learning
+using manu," in Proceedings of the Symposium on Replicated, Mobile
+Algorithms, Mar. 2005.
+[22]
+Y. Martinez, "A case for I/O automata," in Proceedings of JAIR,
+Aug. 2004.
+[23]
+S. Hawking, "Controlling virtual machines and link-level
+acknowledgements using Bosh," in Proceedings of HPCA, Sept. 1990.
+\ No newline at end of file
diff --git a/resources/R8.txt b/resources/R8.txt
new file mode 100755
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--- /dev/null
+++ b/resources/R8.txt
@@ -0,0 +1,308 @@
+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+The Effect of Constant-Time Technology on Theory
+Abstract
+Systems and semaphores, while confusing in theory, have not until recently
+been considered structured. In this position paper, we disconfirm the
+simulation of courseware. In our research we construct a novel application
+for the essential unification of the lookaside buffer and information
+retrieval systems (Chati), which we use to disconfirm that rasterization
+and interrupts are rarely incompatible. While it might seem perverse, it
+is supported by related work in the field.
+Table of Contents
+1) Introduction
+2) Chati Study
+3) Cooperative Modalities
+4) Results
+* 4.1) Hardware and Software Configuration
+* 4.2) Experimental Results
+5) Related Work
+6) Conclusions
+1  Introduction
+Many computational biologists would agree that, had it not been for
+multi-processors, the refinement of suffix trees might never have occurred
+[1]. The notion that scholars interact with the simulation of IPv7 is
+often considered key. Such a claim might seem perverse but is buffetted by
+prior work in the field. After years of significant research into
+reinforcement learning, we disconfirm the deployment of operating systems.
+Despite the fact that this finding might seem perverse, it has ample
+historical precedence. To what extent can web browsers be explored to
+surmount this riddle?
+To our knowledge, our work in this work marks the first heuristic explored
+specifically for I/O automata. For example, many algorithms provide expert
+systems. Existing linear-time and classical solutions use the simulation
+of the World Wide Web to control write-ahead logging. Thus, we use
+wearable configurations to validate that telephony [1] and I/O automata
+are always incompatible.
+In our research, we use cacheable symmetries to verify that the foremost
+flexible algorithm for the development of hash tables by S. Davis [2] runs
+in O( n ) time. Continuing with this rationale, indeed, voice-over-IP and
+e-commerce have a long history of collaborating in this manner. Along
+these same lines, Chati turns the read-write models sledgehammer into a
+scalpel. The basic tenet of this approach is the synthesis of simulated
+annealing. In the opinion of electrical engineers, we view machine
+learning as following a cycle of four phases: management, provision,
+observation, and storage. Such a claim might seem perverse but is
+buffetted by existing work in the field.
+Here, we make four main contributions. We verify that evolutionary
+programming and model checking can collaborate to answer this challenge.
+Second, we construct a heuristic for object-oriented languages (Chati),
+which we use to demonstrate that XML and Markov models are regularly
+incompatible. We use highly-available models to disprove that red-black
+trees and the producer-consumer problem can connect to overcome this
+issue. In the end, we probe how digital-to-analog converters can be
+applied to the deployment of object-oriented languages.
+The rest of this paper is organized as follows. Primarily, we motivate the
+need for web browsers. Similarly, we verify the exploration of the
+producer-consumer problem. Such a hypothesis at first glance seems
+unexpected but fell in line with our expectations. Similarly, we place our
+work in context with the related work in this area. Ultimately, we
+conclude.
+2  Chati Study
+Next, we introduce our model for validating that Chati is impossible. On a
+similar note, we postulate that each component of our framework
+synthesizes multimodal epistemologies, independent of all other components
+[3]. Despite the results by O. Thomas et al., we can verify that the
+acclaimed "fuzzy" algorithm for the development of the producer-consumer
+problem by Leslie Lamport et al. follows a Zipf-like distribution. On a
+similar note, we assume that classical models can provide signed
+symmetries without needing to control self-learning modalities.
+dia0.png 
+Figure 1: A model plotting the relationship between our algorithm and the
+deployment of online algorithms.
+Furthermore, we consider a framework consisting of n neural networks. This
+seems to hold in most cases. We assume that the deployment of Lamport
+clocks that made emulating and possibly exploring red-black trees a
+reality can cache massive multiplayer online role-playing games without
+needing to refine the understanding of spreadsheets. This is a significant
+property of our framework. Along these same lines, we show our approach's
+reliable allowance in Figure 1. Though theorists never postulate the exact
+opposite, our framework depends on this property for correct behavior.
+Further, despite the results by I. K. Zheng, we can show that the
+well-known stochastic algorithm for the understanding of replication by
+Lee runs in W(n) time. The question is, will Chati satisfy all of these
+assumptions? Yes, but only in theory.
+dia1.png 
+Figure 2: The schematic used by our solution.
+The methodology for Chati consists of four independent components:
+public-private key pairs, omniscient algorithms, IPv7, and ambimorphic
+epistemologies. Although biologists largely postulate the exact opposite,
+Chati depends on this property for correct behavior. Similarly, despite
+the results by Sasaki et al., we can show that compilers and model
+checking can connect to accomplish this aim. Continuing with this
+rationale, rather than controlling knowledge-based theory, Chati chooses
+to provide vacuum tubes [4,1,5]. Rather than allowing the World Wide Web,
+our framework chooses to manage the simulation of randomized algorithms.
+This seems to hold in most cases. See our previous technical report [4]
+for details.
+3  Cooperative Modalities
+Our implementation of our heuristic is introspective, certifiable, and
+heterogeneous. Continuing with this rationale, even though we have not yet
+optimized for usability, this should be simple once we finish programming
+the hacked operating system. Along these same lines, the codebase of 56
+Java files contains about 458 instructions of ML. the homegrown database
+and the virtual machine monitor must run on the same node. Since our
+heuristic cannot be explored to provide von Neumann machines, coding the
+homegrown database was relatively straightforward [6]. Overall, our
+algorithm adds only modest overhead and complexity to related distributed
+approaches.
+4  Results
+How would our system behave in a real-world scenario? Only with precise
+measurements might we convince the reader that performance is king. Our
+overall evaluation seeks to prove three hypotheses: (1) that floppy disk
+throughput behaves fundamentally differently on our optimal testbed; (2)
+that popularity of randomized algorithms stayed constant across successive
+generations of Apple Newtons; and finally (3) that evolutionary
+programming no longer affects latency. Unlike other authors, we have
+decided not to refine a heuristic's software architecture. On a similar
+note, our logic follows a new model: performance really matters only as
+long as performance takes a back seat to expected latency. Third, only
+with the benefit of our system's bandwidth might we optimize for security
+at the cost of clock speed. Our evaluation approach holds suprising
+results for patient reader.
+4.1  Hardware and Software Configuration
+figure0.png 
+Figure 3: These results were obtained by Li [6]; we reproduce them here for
+clarity. Such a hypothesis is usually an essential ambition but is derived from
+known results.
+One must understand our network configuration to grasp the genesis of our
+results. We scripted a software prototype on the KGB's network to prove
+the work of British convicted hacker Dennis Ritchie. We removed 200 8GHz
+Pentium IVs from our network. Such a claim is generally an unfortunate
+goal but fell in line with our expectations. Second, we halved the
+flash-memory throughput of our network to investigate our system. We added
+100 25MHz Athlon XPs to our system [6]. Further, steganographers removed
+more flash-memory from our 1000-node overlay network. Along these same
+lines, we removed 300Gb/s of Ethernet access from our human test subjects
+to investigate the effective USB key throughput of our large-scale
+cluster. Lastly, we removed some ROM from our lossless cluster.
+figure1.png 
+Figure 4: The mean time since 2001 of Chati, as a function of power.
+Chati does not run on a commodity operating system but instead requires an
+opportunistically hacked version of Minix Version 6a. our experiments soon
+proved that monitoring our information retrieval systems was more
+effective than exokernelizing them, as previous work suggested. We
+implemented our e-commerce server in enhanced Dylan, augmented with
+computationally random extensions. Second, we made all of our software is
+available under an UCSD license.
+figure2.png 
+Figure 5: The effective response time of Chati, compared with the other
+applications.
+4.2  Experimental Results
+figure3.png 
+Figure 6: The 10th-percentile interrupt rate of Chati, as a function of
+signal-to-noise ratio.
+figure4.png 
+Figure 7: The mean block size of our framework, as a function of interrupt rate.
+Our hardware and software modficiations prove that rolling out our
+heuristic is one thing, but deploying it in a chaotic spatio-temporal
+environment is a completely different story. That being said, we ran four
+novel experiments: (1) we dogfooded Chati on our own desktop machines,
+paying particular attention to effective NV-RAM throughput; (2) we ran
+Markov models on 71 nodes spread throughout the 100-node network, and
+compared them against hash tables running locally; (3) we asked (and
+answered) what would happen if extremely exhaustive hash tables were used
+instead of DHTs; and (4) we ran virtual machines on 30 nodes spread
+throughout the Planetlab network, and compared them against public-private
+key pairs running locally.
+Now for the climactic analysis of all four experiments. Our goal here is
+to set the record straight. The curve in Figure 6 should look familiar; it
+is better known as h-1Y(n) = n. The key to Figure 3 is closing the
+feedback loop; Figure 7 shows how Chati's instruction rate does not
+converge otherwise. Operator error alone cannot account for these results.
+We have seen one type of behavior in Figures 5 and 6; our other
+experiments (shown in Figure 3) paint a different picture. Error bars have
+been elided, since most of our data points fell outside of 81 standard
+deviations from observed means. The data in Figure 6, in particular,
+proves that four years of hard work were wasted on this project. On a
+similar note, note that compilers have less discretized effective NV-RAM
+throughput curves than do modified Byzantine fault tolerance.
+Lastly, we discuss the first two experiments. Note how simulating
+hierarchical databases rather than deploying them in a laboratory setting
+produce less jagged, more reproducible results. The many discontinuities
+in the graphs point to exaggerated median latency introduced with our
+hardware upgrades. Note that SCSI disks have less discretized optical
+drive space curves than do modified multi-processors.
+5  Related Work
+The investigation of amphibious technology has been widely studied. A
+method for SCSI disks [7] proposed by Miller fails to address several key
+issues that Chati does solve [2]. Unlike many existing approaches [5], we
+do not attempt to control or allow replicated modalities [8]. Furthermore,
+Herbert Simon [6] originally articulated the need for autonomous
+algorithms. It remains to be seen how valuable this research is to the
+software engineering community. Contrarily, these methods are entirely
+orthogonal to our efforts.
+Our solution is related to research into systems, Lamport clocks, and the
+exploration of Moore's Law [9]. Even though John Backus also introduced
+this solution, we synthesized it independently and simultaneously [10].
+Continuing with this rationale, the choice of Web services in [11] differs
+from ours in that we synthesize only typical symmetries in our heuristic
+[12,13,14,15]. Though we have nothing against the existing approach by
+Taylor et al., we do not believe that method is applicable to robotics
+[4].
+Several read-write and robust methodologies have been proposed in the
+literature. This solution is even more costly than ours. Continuing with
+this rationale, the original approach to this riddle by Kobayashi and
+Garcia [16] was adamantly opposed; contrarily, such a claim did not
+completely fulfill this ambition. In this paper, we addressed all of the
+challenges inherent in the prior work. Raman [17,18,19] developed a
+similar framework, however we showed that Chati is maximally efficient
+[20]. Next, the infamous heuristic by Jackson does not harness the
+deployment of robots as well as our approach. We believe there is room for
+both schools of thought within the field of complexity theory.
+Nevertheless, these methods are entirely orthogonal to our efforts.
+6  Conclusions
+Our solution will fix many of the challenges faced by today's electrical
+engineers. Next, we demonstrated that scalability in our approach is not
+an issue. Continuing with this rationale, in fact, the main contribution
+of our work is that we verified that even though the lookaside buffer can
+be made permutable, event-driven, and cooperative, B-trees and DHTs can
+interfere to overcome this riddle. Further, Chati has set a precedent for
+homogeneous models, and we expect that systems engineers will study our
+system for years to come. Clearly, our vision for the future of software
+engineering certainly includes our heuristic.
+Our experiences with Chati and modular configurations demonstrate that
+fiber-optic cables and checksums can cooperate to solve this obstacle.
+Continuing with this rationale, we discovered how kernels can be applied
+to the visualization of extreme programming. In fact, the main
+contribution of our work is that we considered how expert systems can be
+applied to the visualization of Byzantine fault tolerance. We expect to
+see many security experts move to developing our methodology in the very
+near future.
+References
+[1]
+W. Wu, "Keep: Deployment of redundancy," IIT, Tech. Rep. 565-330,
+Apr. 2003.
+[2]
+R. Li, J. Smith, a. Gupta, and E. Feigenbaum, "Probabilistic
+technology," in Proceedings of FOCS, Aug. 1999.
+[3]
+U. P. Williams, "YounglyOpener: Linear-time, cooperative
+information," in Proceedings of the Workshop on Signed Modalities,
+Feb. 1995.
+[4]
+K. Sasaki, "A case for write-ahead logging," in Proceedings of
+FPCA, May 2002.
+[5]
+S. Hawking, "Signed, large-scale methodologies," in Proceedings of
+the Conference on Wireless, Compact Symmetries, May 2005.
+[6]
+D. Culler and R. Rivest, "IPv7 no longer considered harmful,"
+Journal of Mobile, Wearable Modalities, vol. 37, pp. 76-82, June
+2001.
+[7]
+P. Sato, U. Raman, R. Agarwal, and I. Sato, "SMPs no longer
+considered harmful," in Proceedings of the Conference on
+Ubiquitous, Stochastic Information, July 1999.
+[8]
+A. Einstein, A. Newell, and C. Papadimitriou, "Deconstructing
+Internet QoS," in Proceedings of NOSSDAV, Oct. 2003.
+[9]
+J. Wilkinson and R. Needham, "Contrasting symmetric encryption and
+IPv4," Journal of Certifiable Technology, vol. 12, pp. 1-13, Nov.
+1999.
+[10]
+L. Brown, "DONEE: Visualization of Moore's Law," in Proceedings of
+VLDB, Jan. 1996.
+[11]
+P. Kumar, "Emulating cache coherence and online algorithms using
+Lori," in Proceedings of OSDI, Dec. 2003.
+[12]
+S. Shenker, "Comparing e-commerce and spreadsheets with
+ToughQueen," in Proceedings of the Symposium on Low-Energy,
+Perfect Communication, Aug. 2004.
+[13]
+a. Thomas and M. Garey, "RootedVesicle: Exploration of Lamport
+clocks," in Proceedings of FPCA, June 2003.
+[14]
+I. Ito and R. Karp, "Towards the exploration of model checking,"
+Journal of Bayesian, Distributed Information, vol. 24, pp. 1-18,
+Sept. 2005.
+[15]
+D. Y. Brown, C. Hari, and J. Quinlan, "Investigating Internet QoS
+and simulated annealing with Lambskin," Stanford University, Tech.
+Rep. 440-1999-4444, May 1992.
+[16]
+I. Daubechies, "An understanding of lambda calculus using FOXES,"
+Journal of Ambimorphic, Reliable Communication, vol. 4, pp.
+88-103, July 1990.
+[17]
+B. Robinson, S. Shenker, J. Hopcroft, S. Smith, and a. Taylor,
+"The relationship between linked lists and superpages using
+HolVara," in Proceedings of JAIR, Aug. 2002.
+[18]
+M. Welsh, "Towards the exploration of journaling file systems," in
+Proceedings of FOCS, Feb. 2003.
+[19]
+M. F. Kaashoek and Z. Harris, "A case for kernels," in Proceedings
+of IPTPS, Dec. 1994.
+[20]
+J. Hopcroft, "Comparing architecture and journaling file systems,"
+Journal of Extensible, Decentralized Methodologies, vol. 1, pp.
+79-82, June 1999.
+\ No newline at end of file
diff --git a/resources/R9.txt b/resources/R9.txt
new file mode 100755
index 0000000..8dfcfaa
--- /dev/null
+++ b/resources/R9.txt
@@ -0,0 +1,302 @@
+Download a Postscript or PDF version of this paper.
+Download all the files for this paper as a gzipped tar archive.
+Generate another one.
+Back to the SCIgen homepage.
+
+
+----------------------------------------------------------------------
+
+802.11B Considered Harmful
+Abstract
+Many researchers would agree that, had it not been for replicated
+modalities, the visualization of IPv7 might never have occurred. In this
+paper, we argue the exploration of scatter/gather I/O, which embodies the
+unfortunate principles of cyberinformatics. We explore an analysis of hash
+tables, which we call SAI [25].
+Table of Contents
+1) Introduction
+2) Model
+3) Implementation
+4) Results
+* 4.1) Hardware and Software Configuration
+* 4.2) Dogfooding Our System
+5) Related Work
+6) Conclusion
+1  Introduction
+Unified optimal algorithms have led to many unproven advances, including
+Markov models and DHTs [5]. The notion that cyberinformaticians
+synchronize with superblocks is always adamantly opposed. Given the
+current status of mobile algorithms, physicists particularly desire the
+simulation of linked lists that paved the way for the exploration of
+compilers. The study of Byzantine fault tolerance would improbably amplify
+mobile methodologies.
+In our research we consider how the Ethernet can be applied to the
+refinement of erasure coding. In the opinions of many, indeed, RAID and
+web browsers have a long history of interfering in this manner. Certainly,
+we emphasize that our application allows compilers. Without a doubt, SAI
+is derived from the synthesis of access points. Although conventional
+wisdom states that this obstacle is largely overcame by the synthesis of
+XML, we believe that a different method is necessary. Therefore, we see no
+reason not to use the study of context-free grammar to measure atomic
+theory.
+In this position paper, we make four main contributions. We motivate an
+algorithm for self-learning archetypes (SAI), arguing that the
+little-known amphibious algorithm for the visualization of wide-area
+networks by Sato et al. runs in O(n) time. We concentrate our efforts on
+proving that the well-known homogeneous algorithm for the analysis of
+suffix trees by Henry Levy [18] runs in O( logn ) time. We verify that
+even though e-commerce and red-black trees can synchronize to answer this
+quagmire, checksums and the Ethernet can agree to address this grand
+challenge. Lastly, we show that even though robots can be made scalable,
+interactive, and peer-to-peer, the well-known certifiable algorithm for
+the simulation of voice-over-IP by Taylor et al. follows a Zipf-like
+distribution.
+The rest of the paper proceeds as follows. For starters, we motivate the
+need for operating systems. Further, we place our work in context with the
+prior work in this area. We place our work in context with the existing
+work in this area. In the end, we conclude.
+2  Model
+Reality aside, we would like to investigate a methodology for how our
+heuristic might behave in theory [15]. Despite the results by Kobayashi et
+al., we can validate that flip-flop gates and journaling file systems [14]
+are always incompatible. Though steganographers mostly believe the exact
+opposite, SAI depends on this property for correct behavior. We postulate
+that the foremost ambimorphic algorithm for the understanding of suffix
+trees by Shastri et al. runs in O(logn) time. Despite the results by
+Sasaki et al., we can disconfirm that 802.11 mesh networks [4] and Moore's
+Law are entirely incompatible. Therefore, the model that our system uses
+is feasible. Such a claim is regularly an appropriate purpose but fell in
+line with our expectations.
+dia0.png 
+Figure 1: Our algorithm's linear-time location. Even though such a hypothesis at
+first glance seems counterintuitive, it has ample historical precedence.
+We assume that the infamous optimal algorithm for the synthesis of DHCP by
+B. F. Jayaraman [1] runs in Q(n!) time. Any intuitive simulation of
+voice-over-IP will clearly require that the infamous wireless algorithm
+for the deployment of red-black trees that made constructing and possibly
+architecting spreadsheets a reality by J. Dongarra runs in W(n2) time; SAI
+is no different. We use our previously studied results as a basis for all
+of these assumptions.
+3  Implementation
+In this section, we describe version 7c, Service Pack 3 of SAI, the
+culmination of weeks of hacking. Furthermore, we have not yet implemented
+the hand-optimized compiler, as this is the least structured component of
+our methodology. The hacked operating system and the client-side library
+must run with the same permissions. Since SAI is based on the principles
+of programming languages, optimizing the collection of shell scripts was
+relatively straightforward.
+4  Results
+Our evaluation represents a valuable research contribution in and of
+itself. Our overall performance analysis seeks to prove three hypotheses:
+(1) that ROM speed is not as important as RAM space when maximizing
+signal-to-noise ratio; (2) that the memory bus no longer affects
+performance; and finally (3) that work factor is an outmoded way to
+measure expected instruction rate. Our logic follows a new model:
+performance really matters only as long as complexity constraints take a
+back seat to scalability. Our logic follows a new model: performance is
+king only as long as performance constraints take a back seat to security
+constraints. This is an important point to understand. we are grateful for
+replicated von Neumann machines; without them, we could not optimize for
+scalability simultaneously with throughput. We hope that this section
+proves the work of Japanese information theorist V. Wu.
+4.1  Hardware and Software Configuration
+figure0.png 
+Figure 2: Note that complexity grows as energy decreases - a phenomenon worth
+harnessing in its own right.
+Many hardware modifications were mandated to measure our heuristic. We
+carried out a quantized simulation on our system to measure the provably
+compact nature of topologically atomic epistemologies. First, we added 7MB
+of flash-memory to our authenticated overlay network. We halved the
+effective floppy disk space of our system to discover the NSA's network.
+Along these same lines, we removed 150 2GB USB keys from our mobile
+telephones [23]. Further, we removed more RAM from our 100-node testbed.
+Continuing with this rationale, we quadrupled the sampling rate of our
+efficient cluster. Finally, we removed a 3kB tape drive from our
+peer-to-peer overlay network. To find the required 5.25" floppy drives, we
+combed eBay and tag sales.
+figure1.png 
+Figure 3: The 10th-percentile energy of SAI, compared with the other algorithms.
+We ran our heuristic on commodity operating systems, such as EthOS Version
+1a and Sprite. We added support for SAI as an exhaustive runtime applet.
+All software was hand assembled using Microsoft developer's studio linked
+against electronic libraries for visualizing agents. All software was
+linked using Microsoft developer's studio with the help of Dennis
+Ritchie's libraries for collectively investigating saturated 5.25" floppy
+drives. We made all of our software is available under a X11 license
+license.
+figure2.png 
+Figure 4: These results were obtained by N. Williams et al. [16]; we reproduce
+them here for clarity.
+4.2  Dogfooding Our System
+Is it possible to justify having paid little attention to our
+implementation and experimental setup? It is not. That being said, we ran
+four novel experiments: (1) we measured RAM space as a function of
+flash-memory throughput on a Macintosh SE; (2) we asked (and answered)
+what would happen if lazily wired public-private key pairs were used
+instead of operating systems; (3) we ran 24 trials with a simulated Web
+server workload, and compared results to our bioware emulation; and (4) we
+compared expected distance on the OpenBSD, Multics and AT&T System V
+operating systems.
+Now for the climactic analysis of experiments (3) and (4) enumerated
+above. Such a hypothesis might seem counterintuitive but fell in line with
+our expectations. Error bars have been elided, since most of our data
+points fell outside of 65 standard deviations from observed means. Next,
+of course, all sensitive data was anonymized during our earlier
+deployment. Note that symmetric encryption have less jagged distance
+curves than do hardened superpages.
+We have seen one type of behavior in Figures 2 and 3; our other
+experiments (shown in Figure 2) paint a different picture. Note that
+Figure 3 shows the average and not average saturated median hit ratio. It
+is entirely a natural aim but has ample historical precedence. Continuing
+with this rationale, of course, all sensitive data was anonymized during
+our earlier deployment. Such a claim is usually a significant goal but
+fell in line with our expectations. Continuing with this rationale, note
+the heavy tail on the CDF in Figure 2, exhibiting degraded effective seek
+time.
+Lastly, we discuss experiments (3) and (4) enumerated above. We scarcely
+anticipated how inaccurate our results were in this phase of the
+performance analysis. These interrupt rate observations contrast to those
+seen in earlier work [22], such as V. Jackson's seminal treatise on
+superblocks and observed effective NV-RAM throughput. Next, the key to
+Figure 3 is closing the feedback loop; Figure 2 shows how our
+methodology's effective optical drive speed does not converge otherwise.
+5  Related Work
+In this section, we consider alternative methodologies as well as previous
+work. A recent unpublished undergraduate dissertation described a similar
+idea for superblocks. Complexity aside, SAI explores less accurately.
+Along these same lines, recent work by I. Watanabe et al. [3] suggests an
+approach for architecting wireless methodologies, but does not offer an
+implementation. Our algorithm is broadly related to work in the field of
+e-voting technology by Martinez [26], but we view it from a new
+perspective: real-time modalities [7]. Smith developed a similar
+framework, however we showed that SAI is in Co-NP [11]. Clearly,
+comparisons to this work are fair. Our solution to autonomous theory
+differs from that of Li and Wilson [20,30,16] as well [19]. Our design
+avoids this overhead.
+The emulation of forward-error correction has been widely studied
+[17,21,8,3]. Therefore, if throughput is a concern, SAI has a clear
+advantage. While Moore and Williams also presented this solution, we
+deployed it independently and simultaneously [13,6,14,2,24]. Along these
+same lines, Nehru and Anderson [28] originally articulated the need for
+superblocks. Wilson et al. and Suzuki described the first known instance
+of symbiotic communication [27,12]. Nehru originally articulated the need
+for compact theory. All of these solutions conflict with our assumption
+that spreadsheets and Smalltalk are confusing [29]. However, the
+complexity of their approach grows inversely as redundancy grows.
+6  Conclusion
+In conclusion, in this work we showed that the foremost permutable
+algorithm for the deployment of scatter/gather I/O by Shastri is
+NP-complete. We used client-server modalities to show that the well-known
+classical algorithm for the construction of 802.11 mesh networks by Suzuki
+and Moore [9] is Turing complete. Furthermore, we verified that even
+though checksums and interrupts can interfere to accomplish this ambition,
+the famous random algorithm for the study of kernels by Smith follows a
+Zipf-like distribution. On a similar note, the characteristics of our
+application, in relation to those of more seminal methodologies, are
+famously more typical [10]. We expect to see many hackers worldwide move
+to visualizing SAI in the very near future.
+References
+[1]
+Abiteboul, S., Garey, M., Wilson, G., Corbato, F.,
+Ramasubramanian, V., and Harris, K. F. ScaroidPollex: Optimal
+configurations. Journal of Highly-Available, Reliable Information
+44 (July 2002), 1-10.
+[2]
+Agarwal, R. Visualizing a* search and flip-flop gates. In
+Proceedings of PODS (Apr. 2005).
+[3]
+Ananthakrishnan, H. Minaret: A methodology for the simulation of
+write-ahead logging. In Proceedings of PODS (Aug. 2004).
+[4]
+Bhabha, B., Floyd, S., Dongarra, J., and Harris, K. Decoupling
+write-back caches from cache coherence in symmetric encryption. In
+Proceedings of the Workshop on Wireless, Metamorphic
+Epistemologies (Sept. 2004).
+[5]
+Blum, M., Hopcroft, J., Lamport, L., and Kumar, L. H. A
+visualization of simulated annealing with RhizoganSewel. In
+Proceedings of VLDB (Nov. 2004).
+[6]
+Bose, a., and Patterson, D. Analyzing wide-area networks and the
+transistor. In Proceedings of SIGMETRICS (Apr. 1996).
+[7]
+Cook, S., Rivest, R., and Rivest, R. Deconstructing public-private
+key pairs with HurdleProre. In Proceedings of VLDB (Apr. 1991).
+[8]
+Dongarra, J. Towards the study of web browsers. In Proceedings of
+SIGGRAPH (Aug. 2001).
+[9]
+Fredrick P. Brooks, J. A case for the producer-consumer problem.
+Journal of Heterogeneous, Virtual Methodologies 86 (Feb. 2003),
+20-24.
+[10]
+Harris, Y. N. Constructing RAID and Voice-over-IP with MAXIM. In
+Proceedings of FPCA (Dec. 1994).
+[11]
+Iverson, K., Ito, P., and Ritchie, D. A simulation of Markov
+models with GodeIndia. In Proceedings of the Symposium on
+Homogeneous, Decentralized Epistemologies (July 2000).
+[12]
+Jackson, E., and Adleman, L. Towards the investigation of
+congestion control. In Proceedings of the Symposium on
+Pseudorandom, Trainable Communication (July 1998).
+[13]
+Jacobson, V., Cocke, J., and Williams, D. Emulating Scheme and
+suffix trees. In Proceedings of the Conference on Replicated,
+Wearable, Relational Configurations (Sept. 2001).
+[14]
+Lamport, L. Deconstructing the lookaside buffer using
+LandauMucigen. Tech. Rep. 301/303, University of Washington, Apr.
+2004.
+[15]
+Martin, F. The influence of robust archetypes on algorithms.
+Journal of Symbiotic Technology 18 (Apr. 1999), 150-191.
+[16]
+Moore, T., and Sasaki, R. Exploration of Lamport clocks. In
+Proceedings of PODS (Sept. 2004).
+[17]
+Needham, R., Agarwal, R., and Martin, N. Homogeneous technology.
+In Proceedings of the USENIX Technical Conference (June 2003).
+[18]
+Needham, R., and Hoare, C. A. R. A case for the Ethernet. Journal
+of Automated Reasoning 94 (Feb. 2005), 157-195.
+[19]
+Papadimitriou, C. An improvement of neural networks using Spayade.
+Journal of Highly-Available Information 36 (May 2005), 75-82.
+[20]
+Ramasubramanian, V. A case for reinforcement learning. Journal of
+Mobile, Constant-Time Theory 51 (Mar. 1996), 1-16.
+[21]
+Rivest, R., Darwin, C., and Engelbart, D. The influence of robust
+technology on operating systems. Journal of Linear-Time, "Smart"
+Archetypes 52 (Nov. 1994), 70-80.
+[22]
+Sasaki, O. Construction of the UNIVAC computer. Journal of
+Classical, Empathic Archetypes 82 (Feb. 1999), 85-107.
+[23]
+Sasaki, Q., Perlis, A., Knuth, D., and Levy, H. A refinement of
+Lamport clocks. Journal of Scalable, Decentralized, Relational
+Archetypes 6 (Feb. 1999), 20-24.
+[24]
+Tarjan, R. Tup: Refinement of DNS. In Proceedings of ASPLOS (Dec.
+1996).
+[25]
+Thompson, I. A case for information retrieval systems. Journal of
+Pseudorandom, Read-Write Archetypes 99 (Dec. 1995), 88-109.
+[26]
+Vijay, a. Constructing congestion control and scatter/gather I/O.
+In Proceedings of VLDB (Dec. 1993).
+[27]
+Watanabe, J., and Estrin, D. A case for robots. Journal of
+Extensible, Lossless Epistemologies 87 (June 1935), 20-24.
+[28]
+White, N. Sunbeam: Event-driven, encrypted theory. In Proceedings
+of MOBICOM (Mar. 2004).
+[29]
+Wilson, S. Soul: A methodology for the unfortunate unification of
+von Neumann machines and evolutionary programming. In Proceedings
+of the Workshop on Wireless, Scalable, Atomic Technology (Feb.
+2002).
+[30]
+Yao, A., and Kahan, W. VIRUS: Bayesian models. In Proceedings of
+the Conference on Self-Learning Models (Aug. 2004).
+\ No newline at end of file
diff --git a/screen_1.png b/screen_1.png
new file mode 100644
index 0000000..f6124f0
--- /dev/null
+++ b/screen_1.png
diff --git a/screen_2.png b/screen_2.png
new file mode 100644
index 0000000..d6cbc4b
--- /dev/null
+++ b/screen_2.png
diff --git a/screen_3.png b/screen_3.png
new file mode 100644
index 0000000..cd82e3b
--- /dev/null
+++ b/screen_3.png
diff --git a/utilities.cpp b/utilities.cpp
new file mode 100755
index 0000000..4959ae2
--- /dev/null
+++ b/utilities.cpp
@@ -0,0 +1,120 @@
+#include "utilities.h"
+#include <qdebug.h>
+
+void prepare(std::string& st) {
+//    std::vector<std::string> stop_words{" a ", " an ", " as ", " about ", " above ", " accross ", " after ",
+//                                        " against ", " and ", " are ", " be ", " before ", " along ",
+//                                        " around ", " at ", " behind ", " below ", " beetween ", " but ",
+//                                        " by ", " down ", " for ", " from ", " in ", " is ", " inside ",
+//                                        " into ", " near ", " of ", " off ", " on ", " out ", " outside ",
+//                                        " over ", " so ", " till ", " that ", " the ", " to ", " under ", " until ",
+//                                        " up ", " with ", " while ", " this "};
+
+//    for(std::string& s : stop_words){
+//        size_t pos = 0;
+//        while ((pos = st.find(s, pos)) != std::string::npos)
+//            st.erase(pos, s.size()-1);
+//    }
+
+    std::string::iterator remove = std::remove_if(st.begin(), st.end(), [](char& ch) -> bool {
+        return (isalpha((unsigned char)ch) || ch == ' ') ? false : true;
+    });
+
+    st.erase(std::remove_if(st.begin(), st.end(),
+                            [](char& ch) -> bool {return (isalpha((unsigned char)ch) || ch == ' ') ? false : true;}),
+             st.end());
+
+    st.erase(std::unique(st.begin(), st.end(),
+                         [](char c1, char c2) { return c1 == ' ' && c2 == ' '; }),
+             st.end());
+
+    std::transform(st.begin(), st.end(), st.begin(), tolower);
+}
+
+std::map<std::string, int> getNgramm(const std::string& doc, size_t n) {
+    std::vector<std::string> s;
+    std::map<std::string, int> dict;
+
+    for (size_t i = 0; i < (doc.size() - n + (size_t)1); ++i) {
+        const std::string word(&(doc[i]), &(doc[i + n]));
+        ++dict[word];
+    }
+    return dict;
+}
+
+void n_gram_calc(const std::string& doc, int n)
+{
+    std::map<std::string, int> dict;
+    int min = 2;
+    for (int i = 0; i < n - min + 1; ++i) {
+        std::map<std::string, int> temp_dic(getNgramm(doc, (size_t)min + i));
+        dict.insert(temp_dic.begin(), temp_dic.end());
+    }
+    std::set<std::string> unique;
+    std::ofstream dictionary_file("dictionary.txt");
+    int max = std::max_element(dict.begin(), dict.end(),
+                     [](const std::pair<std::string, int> a,
+                     const std::pair<std::string, int> b){return a.second < b.second;})->second;
+
+
+    for (std::map<std::string, int>::iterator it = dict.begin(); it != dict.end(); ++it) {
+        if (it->second > 1000)
+            unique.insert(it->first);
+    }
+    for (std::string str : unique)
+        dictionary_file << str << '\n';
+    dictionary_file.close();
+}
+
+std::vector<int> freq_in_chunk(const std::string& chunk, const std::vector<std::string>& dictionary)
+{
+    std::vector<int> freq_in_chunks;
+    int quantity = 0;
+    for (std::vector<std::string>::const_iterator it = dictionary.begin(); it != dictionary.end(); ++it) {
+        size_t pos = 0;
+        while ((pos = chunk.find(*it, pos)) != std::string::npos) {
+            ++pos;
+            ++quantity;
+        }
+        freq_in_chunks.push_back(quantity);
+        quantity = 0;
+    }
+    return freq_in_chunks;
+}
+
+long double dzv_calc(int T,
+                     const std::vector<int> di,
+                     const std::vector<int> dj,
+                     int i, int j,
+                     const std::vector<std::vector<int>> freq_of_ngramm_i,
+                     const std::vector<std::vector<int>> freq_of_ngramm_j)
+{
+    return std::abs(zv_calc(T, di, i, freq_of_ngramm_i) +
+                    zv_calc(T, dj, j, freq_of_ngramm_j) -
+                    zv_calc(T, di, j, freq_of_ngramm_j) -
+                    zv_calc(T, dj, i, freq_of_ngramm_i));
+}
+
+long double zv_calc(int T,
+                    const std::vector<int> di,
+                    int i,
+                    const std::vector<std::vector<int>> freq_of_ngramm_i_j)
+{
+    long double total = 0.0;
+    for (size_t m = 1; m <= (size_t)T; ++m)
+        total += spearman_calc(di, freq_of_ngramm_i_j[(size_t)i - m]);
+    return total / T;
+}
+
+long double spearman_calc(const std::vector<int> di,
+                          const std::vector<int> freq_of_ngramm_i_j)
+{
+    long double total = 0.0;
+    for (size_t i = 0; i < di.size(); ++i)
+        total += pow(di[i] - freq_of_ngramm_i_j[i], 2);
+    total *= 6;
+    int n = di.size();
+    long int m = n * (pow(n, 2) - 1);
+    total /= m;
+    return 1 - total;
+}
diff --git a/utilities.h b/utilities.h
new file mode 100755
index 0000000..ca0240b
--- /dev/null
+++ b/utilities.h
@@ -0,0 +1,39 @@
+#ifndef UTILITIES_H
+#define UTILITIES_H
+
+#endif // UTILITIES_H
+
+#include <string>
+#include <vector>
+#include <algorithm>
+#include <map>
+#include <cctype>
+#include <set>
+#include <map>
+#include <iostream>
+#include <fstream>
+#include <cmath>
+#define BOOST_LOCALE_HIDE_AUTO_PTR
+#define BOOST_BIND_NO_PLACEHOLDERS
+#pragma push_macro("slots")
+#undef slots
+#include <boost/python/numpy.hpp>
+#include <boost/python.hpp>
+#pragma pop_macro("slots")
+
+void n_gram_calc(const std::string& doc, int n);
+
+std::vector<int> freq_in_chunk(const std::string& chunk,
+    const std::vector<std::string>& dictonary);
+
+long double dzv_calc(int T, const std::vector<int> di,
+    const std::vector <int> dj, int i, int j,
+    const std::vector<std::vector<int>> freq_of_robot_ngramm_i,
+    const std::vector<std::vector<int>> freq_of_robot_ngramm_j);
+
+long double zv_calc(int T, const std::vector<int> di, int i,
+    const std::vector<std::vector<int>> freq_of_robot_ngramm_i_j);
+
+long double spearman_calc(const std::vector<int> di, const std::vector<int> freq_of_robot_ngramm_k);
+
+void prepare(std::string& st);