Digital Commons Network^™

A Reference Model For Firewall Technology And Its Implications For Connection Signaling, J. Bryan Lyles, Christoph L. Scuba

Department of Computer Science Technical Reports

No abstract provided.

The 42 Equivalence Classes Of Quadratic Surfaces In Affine N-Space, Jörg Peters, Ulrich Reif

Department of Computer Science Technical Reports

No abstract provided.

Backtracking, Alberto Apostolico, Giuseppe F. Italiano

Department of Computer Science Technical Reports

No abstract provided.

Authorship Analysis: Identifying The Author Of A Program, Ivan Krsul, Eugene H. Spafford

Department of Computer Science Technical Reports

No abstract provided.

Use Of A Taxonomy Of Security Faults, Taimur Aslam, Ivan Krsul, Eugene H. Spafford

Department of Computer Science Technical Reports

No abstract provided.

Residency Check Elimination For Object- Oriented Persistent Languages, Antony L. Hosking

Department of Computer Science Technical Reports

No abstract provided.

Image Compression And Signal Classification By Neural Networks And Projection Pursuits, M. Fardanesh, O. K. Ersoy

Department of Electrical and Computer Engineering Technical Reports

In this report, two applications of neural networks are investigated. The first one is low bit rate image compression by using neural networks and projection pursuit. The second one is improving the classification accuracy of neural network classifiers by using unlabeled data. In the first part, a novel approach for low bit rate image coding is presented. The image is compressed by first quadtree segmenting the image into blocks of different sizes based on two activity measures , and then constructing a distinct code for each block by invokin~gth e theory of projection pursuit. The two activity measures used in …

Mccogen, A C Code Generator From Mathematica Language, Chang-Hyeon Song

Department of Computer Science Technical Reports

No abstract provided.

Image Compression And Signal Classification By Neural Networks And Projection Pursuits, M. Fardanesh, O. K. Ersoy

Department of Electrical and Computer Engineering Technical Reports

In this report, two applications of neural networks are investigated. The first one is low bit rate image compression by using neural networks and projection pursuit. The second one is improving the classification accuracy of neural network classifiers by using unlabeled data. In the first part, a novel approach for low bit rate image coding is presented. The image is compressed by first quadtree segmenting the image into blocks of different sizes based on two activity measures , and then constructing a distinct code for each block by invokin~gth e theory of projection pursuit. The two activity measures used in …

Analysis Of An Asymmetric Leader Election Algorithm, Svante Janson, Wojciech Szpankowski

Department of Computer Science Technical Reports

No abstract provided.

Idiot - Users Guide, Mark Crosbie, Bryn Dole, Todd Ellis, Ivan Krsul, Eugene H. Spafford

Department of Computer Science Technical Reports

No abstract provided.

Applications Of A Numbering Scheme For Polygonal Obstacles In The Plane, Mikhail J. Atallah, Danny Z. Chen

Department of Computer Science Technical Reports

No abstract provided.

Multi-Pass Transmission Policy: An Effective Method Of Transmitting Large Multimedia Objects In The Wide-Area Network, Sheng-Yih Wang, Bharat Bhargava

Department of Computer Science Technical Reports

No abstract provided.

Parallel Reuse Methodologies For Elliptic Boundary Value Problems, S. Markus, Elias N. Houstis

Department of Computer Science Technical Reports

No abstract provided.

A Scheduling Expert Advisor For The Bond Environment, Mihai G. Sirbu, Dan C. Marinescu

Department of Computer Science Technical Reports

No abstract provided.

Gauss: An Automatic Algorithm Selection System For Quadrature, N. Ramakrishnan, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

A Laboratory Environment For Experimenting With Xinu, Douglas E. Comer, John C. Lin

Department of Computer Science Technical Reports

No abstract provided.

Benchmarking And Verification Of Bipolar Junction Transistor Tcad Simulation Programs, Carrie Ann Niemiec, Mark S. Lundstrom

Department of Electrical and Computer Engineering Technical Reports

This thesis contains the results from a benchmarking study, which involves comparing different device modeling approaches. After discussing the pflilosophical importance of accuracy and truth in science with respect to modeling, modern day simulation methods are discussed and a methodology defined. The modeling approaches compared are the drift-diffusion method, which is most commonly utilized currently, the hydrodynamic/energy transport method, which has greater rigor than drift-difision but has some convergence problems, and the scattering matrix approach, which fully solves the Boltzmann Transport Equation. The scattering matrix approach is used as the computational benchmark because it is the most rigorous and accurate …

Automatic Gradient Threshold Determination For Edge Detection Using A Statistical Model A Description Of The Model And Comparison Of Algorithms, Peter V. Henstock,, David M. Chelberg

Department of Electrical and Computer Engineering Technical Reports

In the enhancement/thresholding method of edge detection, the gradient values of pixels exceeding a certain threshold are designated as edge pixels. However, selecting a threshold has commonly been performed through ad hoc measures. This paper describes a method for automatically selecting a threshold using a 5-parameter model. The model is based on the weighted sum of two gamma density functions corresponding to edge and ncln-edge pixels. A variety of statistical and fitting methods for finding the model parameters were evaluated by comparing their computed thresholds to perceptual thresholds determined by subjects for 16 different images. The performance of the model …

An Introduction To Systematic Sensitivity Analysis Via Gaussian Quadrature, Channing Arndt

GTAP Technical Papers Archive

Economists recognize that results from simulation models are dependent, sometimes highly dependent, on values employed for critical exogenous variables.

To account for this, analysts sometimes conduct sensitivity analysis with respect to key exogenous variables.

This paper presents a practical approach for conducting systematic sensitivity analysis, called Gaussian quadrature.

The approach views key exogenous variables as random variables with associated distributions. It produces estimates of means and standard deviations of model results while requiring a limited number of solves of the model. Under mild conditions, all of which hold with respect to the GTAP model, there is strong reason to believe …

Greedy Algorithms For The Shortest Common Superstring That Are Asymptotically Optimal, Alan Frieze, Wojciech Szpankowski

Department of Computer Science Technical Reports

No abstract provided.

A Last Word On Pattern Frequency Occurences In A Markovian Sequence?, Mireille Régnier, Wojciech Szpankowski

Department of Computer Science Technical Reports

No abstract provided.

Performance Evaluation Of Mpi Implementations And Mpi Based Parallel Ellpack Solvers, S. Markus, S. B. Kim, K. Pantazopoulos, A. L. Ocken, Elias N. Houstis, S. Weerawarana, D. Maharry

Department of Computer Science Technical Reports

No abstract provided.

Liberalization And Capital Accumulation In The Gtap Model, Joseph Francois, Brad Mcdonald

GTAP Technical Papers Archive

This paper explores trade policy and investment linkages in the GTAP model. This is done under alternative steady-state closure rules linking trade to consumption, production, and investment, and emphasizing the general equilibrium nature of capital accumulation mechanisms.

When policy shocks are capital friendly, induced investment may be greater than suggested by current savings rates. As a result, multiplier-type analysis can be very misleading.

The importance and direction of this magnification hinges critically on the sensitivity of savings rates with respect to real returns. As illustration, we offer a numerical assessment of the Uruguay Round, highlighting such linkages.

Effect Of Value Based Software Engineering On Development Projects, Raymond Paul, Mageda A. Sharafeddin, Y. Shinagawa, Arif Ghafoor

Department of Electrical and Computer Engineering Technical Reports

Previous models of software development projects have failed to represent people productivity accurately. In this paper, we present a model characterized by realistic productivity curves and flexibility in choosing resource factors in a software engineering project. A two-mode mathematical model similar to PutnamNorden model js presented. The proposed model enhances the capability of engineering management users to make corrective actions when appropriate. It is extremely beneficial to detect problems and provide corrective actions since they are in many cases crucial to the successful project software engineering hiring and/or acquisition management planning to use the software product.

Numerical Methods For Derivative Securities Models, Konstantinos N. Pantazopoulos, Elias N. Houstis

Department of Computer Science Technical Reports

No abstract provided.

Object Based Constraint Management For Collaborative Systems, Chandrajit Bajaj, Peinan Zhang

Department of Computer Science Technical Reports

No abstract provided.

On Mobile Systems And Disconnected Browsing Of Distributed Information, Anupam Joshi, Sanjiva Weerawarana, Elias N. Houstis

Department of Computer Science Technical Reports

No abstract provided.

Automatic Identification Of Icosahedral Virus Particles In Electron Micrographs, Ioana Maria Martin, Dan C. Marinescu

Department of Computer Science Technical Reports

No abstract provided.

A Peak Finding Strategy For Multi- Dimensional Scalar Fields With Applications To X-Ray Crystallography, Calin R. Costian, Ioana M. Boier Martin, Dan C. Marinescu, Mikhail J. Atallah

Department of Computer Science Technical Reports

No abstract provided.