Computer Engineering Commons^™

Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang

Computer Science & Engineering Syllabi

This course is an introduction to artificial intelligence. We will cover the most fundamental yet important algorithms and methods in this field and illustrate application areas such as natural language processing, speech recognition, computer vision and robotics.

Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.

Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to engineering, science, and applied mathematics are an integral part of the course. Special topics presented as schedule permits. 4 credit hours.

Ceg 320/520: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 420/620: Computer Architecture, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 402/602: Introduction To Computer Communication, Bin Wang

Computer Science & Engineering Syllabi

This course provides an introduction to basic concepts of communication networks, different types of networks, protocols over different layers, and network applications through lectures, labs, homework, and reading on relevant materials.

You will

• Understand networking principles, protocols, and technologies.

• Understand some design and performance issues involved in providing a network service.

• Acquire background for supporting e-commerce, e-government, and e-education.

• Gain hands-on experience with programming techniques for network protocols.

• Obtain background for original research in computer networks.

Ceg 233: Linux And Windows, Prabhaker Mateti

Computer Science & Engineering Syllabi

Introduction to Linux and Windows systems. GUI and Windowing Systems. Files and Directories. Ownership and Sharing. Programs and Processes. System calls, Libraries. Loading. Dynamic linking. Command Line Shells. Scripting languages. Regular expressions. Clients and Servers. Web browser clients and servers. Secure shell, sftp. SSL/TSL. HTTPS. System Administration.

Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer

Computer Science & Engineering Syllabi

Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.

Ceg 790: Emerging Networks, Bin Wang

Computer Science & Engineering Syllabi

This is a graduate level course on emerging networking technologies. The course involves a reading/lecture/presentation/discussion component, paper review component, and a project component. It will provide an in-depth study on a number of focused areas: dense wavelength division multiplexing (D\VDM) optical networks, optical burst switching networks, peer-to-peer networks, and wireless mobile networks (including Ad-hoc wireless networks, sensor networks). Various technical and research issues involved will be studied. These areas of emerging networking technologies will play central roles in future communication networks.

Desitv - The Indian Tv, Saurin Shah

Mahurin Honors College Capstone Experience/Thesis Projects

DesiTV – The Indian TV project would utilize latest technology to provide live channels from the Indian Television World to Online World. The project would hence serve Indian demographic providing regional entertainment. It would contribute to the knowledge on how to utilize new technology and use it to provide better entertainment to the online users. Additionally, the project would help in learning how to build website/blog, how to host/post content and how to set up servers for broadcasting live channels. Also, how to maintain servers downtime and provide technical support. It would also contribute in the learning of how to …

Back-Up Server For Computer Science Department, Victoria Gaylord

Mahurin Honors College Capstone Experience/Thesis Projects

Because Western Kentucky University does not maintain a back-up system for its departments, the Computer Science Department has implemented its own. Using Bacula software on a Unix server, files from faculty desktop computers and servers are backed up to a tape drive on a daily basis. The server is protected from outside threats with a carefully configured firewall script. This paper explains how both the firewall and the back-up software were implemented and how successful that implementation has been.

Edge Grouping Combining Boundary And Region Information, Joachim S. Stahl, Song Wang

Faculty Publications

This paper introduces a new edge-grouping method to detect perceptually salient structures in noisy images. Specifically, we define a new grouping cost function in a ratio form, where the numerator measures the boundary proximity of the resulting structure and the denominator measures the area of the resulting structure. This area term introduces a preference towards detecting larger-size structures and, therefore, makes the resulting edge grouping more robust to image noise. To find the optimal edge grouping with the minimum grouping cost, we develop a special graph model with two different kinds of edges and then reduce the grouping problem to …

A Modular Kernel Linear Discriminant Analysis Of Gabor Features For Improved Face Recognition, Neeharika Gudur

Electrical & Computer Engineering Theses & Dissertations

Automatic face recognition is one of the major challenges in computer vision and pattern analysis. This thesis presents an efficient face recognition system that is robust with regards to changes in illumination, facial expressions and partial occlusions. Modular Kernel Linear Discriminant Analysis performed on Gabor Features obtained from the face images is employed for improving face recognition accuracy. A face image is pre-processed using the 2D Gabor wavelet transform to achieve invariance to illumination in images. Modular approaches that divide the pre-processed images into smaller sub-images provide improved accuracy, as the facial variations in an image are confined to local …

Neighborhood Defined Adaboost Based Mixture Of Color Components For Efficient Skin Segmentation, Ramya Reddy Maaram

Electrical & Computer Engineering Theses & Dissertations

A skin segmentation algorithm robust to illumination changes and skin-like backgrounds is developed in this thesis. So far skin pixel classification has been limited to only individual color spaces and there has not been a comprehensive evaluation of which color components or combination of color components would provide the best classification accuracy, Color components in a given color space form the feature set for the classification of skin pixels. The combination of the color components or the features present within a single color space may not be the best when it comes to skin pixel classification as the discriminatory power …

Distributed Cluster-Based Outlier Detection In Wireless Sensor Networks, Swetha Gali

Electrical & Computer Engineering Theses & Dissertations

Wireless sensor networks find several potential applications in a variety of fields, such as environmental monitoring and control, battlefields, surveillance, smart buildings, human health monitoring, etc. These sensor networks consist of a large number of very tiny, inexpensive, and low power sensor nodes, which are deployed in a variety of harsh environments that may result in the sensor data getting corrupted. It is thus critical to detect and report these abnormal values in the sensor data, in order to have a better understanding of the monitored environment. Detection of the abnormal values is of special interest for the sensor network …

Simulation To Augment Standardized Patients In Obstetric Ultrasound Training, Scott Richard Guirlinger

Computational Modeling & Simulation Engineering Theses & Dissertations

Standardized patients are actors used in medical training to teach and eval11atc clinical skills of students prior to their using these skills on an actual patient. Augmented Reality is a relatively new technology that can be used to augment standardized patients with abnonnalitie8 and pathologies that they cannot portray themselves as normal healthy human beings. In our project, we sought to augment standardized patients with a 12-week- old fetus in order to train and possibly evaluate medical students and professionals in performing obstetric ultrasound procedures and interpreting the corresponding ultrasound image results.

The software library ARToolkit provided the framework for …

Lazy Preservation: Reconstructing Websites From The Web Infrastructure, Frank Mccown

Computer Science Theses & Dissertations

Backup or preservation of websites is often not considered until after a catastrophic event has occurred. In the face of complete website loss, webmasters or concerned third parties have attempted to recover some of their websites from the Internet Archive. Still others have sought to retrieve missing resources from the caches of commercial search engines. Inspired by these post hoc reconstruction attempts, this dissertation introduces the concept of lazy preservation{ digital preservation performed as a result of the normal operations of the Web Infrastructure (web archives, search engines and caches). First, the Web Infrastructure (WI) is characterized by its preservation …

Sample Entry Purge System In Spectrophotometer, Ellipsometer, Polarimeter And The Like Systems, Steven E. Green, Ping He, Galen L. Pfeiffer, Brian D. Guenther, Gerald T. Cooney, John A. Woollam, Martin M. Liphardt, Blaine D. Johs, Craig M. Herzinger

Department of Electrical and Computer Engineering: Faculty Publications

A sample sequestering system which allows access to a subspace in a chamber encompassed generally enclosed space, for use in entering and removing a sample when the subspace is opened to atmosphere. Sufficient purge gas is flowed from withing the generally enclosed space into the subspace discourage atmospheric contaminates from entering into the space is a spectrophotometer, ellipsometer or polarimeter or the like system which operates at wavelengths, (eg. UV), which are advesely affected, (eg. absorded), by typical atmospheric contents.

Diagnosis Of Inter-Turn Short Circuit For A Polyphase Induction Motor In Closed-Loop Vector-Controlled Drives, Ahmed Sayed-Ahmed, Gennadi Y. Sizov, Nabeel Demerdash

Electrical and Computer Engineering Faculty Research and Publications

The main objective of this paper is to develop and experimentally verify a new technique to detect an inter-turn short circuit in one phase of a stator winding of an induction motor energized from a vector-controlled drive. This is in order to overcome the fault masking difficulties associated with the concept of depending on the actual magnetic field pendulous oscillation between the conventional voltage and current space vectors with respect to a reference that is unaltered by the compensation action of the drive. This technique is based on the flux pendulous oscillation phenomenon. This flux pendulous oscillation is also described …

A Computational Model Of Culture-Specific Conversational Behavior, Dusan Jan, David Herrera, Bilyana Martinovski, David G. Novick, David Traum

Departmental Papers (CS)

This paper presents a model for simulating cultural differences in the conversational behavior of virtual agents. The model provides parameters for differences in proxemics, gaze and overlap in turn taking. We present a review of literature on these factors and show results of a study where native speakers of North American English, Mexican Spanish and Arabic were asked to rate the realism of the simulations generated based on different cultural parameters with respect to their culture.

Radar System Characterization Extended To Hardware In The Loop Simulation For The Lab-Volt™ Training System, Oscar C. Mayhew

Theses and Dissertations

Modeling RADAR signals in software allows the testing of potential electronic counter measures and electronic counter counter measures without the associated RADAR hardware and test facilities. Performing a characterization process on a real world RADAR system reveals all imperfections within the system. The Lab-Volt™ RADAR system served as the characterized real world RADAR system. The characterization process consisted of measurements at selected front panel locations on the Lab-Volt™ transmitter module, antenna pedestal, receiver module, and dual channel sampler module. Due to the overwhelming influence of antenna parameters on a received signal, the characterization process also attempted to derive an antenna …

Examination Of Energy And Group Velocities In Positive And Negative Index Chiral Materials With And Without Dispersion, Monish Ranjan Chatterjee, Partha P. Banerjee

Electrical and Computer Engineering Faculty Publications

Concepts of energy and group velocities, Poynting and propagation vectors are examined for both positive and negative index materials. Known definitions for these entities are explored in terms of the interplay of chirality and dispersion.

Random Fuzzy Sets, Hung T. Nguyen, Vladik Kreinovich, Gang Xiang

Departmental Technical Reports (CS)

It is well known that in decision making under uncertainty, while we are guided by a general (and abstract) theory of probability and of statistical inference, each specific type of observed data requires its own analysis. Thus, while textbook techniques treat precisely observed data in multivariate analysis, there are many open research problems when data are censored (e.g., in medical or bio-statistics), missing, or partially observed (e.g., in bioinformatics). Data can be imprecise due to various reasons, e.g., due to fuzziness of linguistic data. Imprecise observed data are usually called {\it coarse data}. In this chapter, we consider coarse data …

In Some Curved Spaces, One Can Solve Np-Hard Problems In Polynomial Time, Vladik Kreinovich, Maurice Margenstern

Departmental Technical Reports (CS)

In the late 1970s and the early 1980s, Yuri Matiyasevich actively used his knowledge of engineering and physical phenomena to come up with parallelized schemes for solving NP-hard problems in polynomial time. In this paper, we describe one such scheme in which we use parallel computation in curved spaces.

Ufuzzy Prediction Models In Measurement, Leon Reznik, Vladik Kreinovich

Departmental Technical Reports (CS)

The paper investigates a feasibility of fuzzy models application in measurement procedures. It considers the problem of measurement information fusion from different sources, when one of the sources provides predictions regarding approximate values of the measured variables or their combinations. Typically this information is given by an expert but may be mined from available data also. This information is formalized as fuzzy prediction models and is used in combination with the measurement results to improve the measurement accuracy. The properties of the modified estimates are studied in comparison with the conventional ones. The conditions when fuzzy models application can achieve …

Verification Of Automatically Generated Pattern-Based Ltl Specifications, Salamah Salamah, Ann Q. Gates, Vladik Kreinovich, Steve Roach

Departmental Technical Reports (CS)

The use of property classifications and patterns, i.e., high-level abstractions that describe common behavior, have been shown to assist practitioners in generating formal specifications that can be used in formal verification techniques. The Specification Pattern System (SPS) provides descriptions of a collection of patterns. The extent of program execution over which a pattern must hold is described by the notion of scope. SPS provides a manual technique for obtaining formal specifications from a pattern and a scope. The Property Specification Tool (Prospec) extends SPS by introducing Composite Propositions (CPs), a classification for defining sequential and concurrent behavior to represent pattern …

Wdo-It! A Tool For Building Scientific Workflows From Ontologies, Paulo Pinheiro Da Silva, Leonardo Salayandia, Ann Q. Gates

Departmental Technical Reports (CS)

One of the factors that limits scientists from fully adopting e-Science technologies and infrastructure to advance their work is the technical knowledge needed to specify and execute scientific workflows. In this paper we introduce WDO-It!, a scientist-centered tool that facilitates the scientist's task of encoding discipline knowledge in the form of workflow-driven ontologies (WDOs) and presenting process knowledge in the form of model-based workflows (MBWs). The goal of WDO-It! is to facilitate the adoption of e-Science technologies and infrastructures by allowing scientist to encode their discipline knowledge and process knowledge with minimal assistance from technologists. MBWs have demonstrated potential to …

Finite-Difference Time Domain Method For Nonorthogonal Unit-Cell Two-Dimensional Photonic Crystals, Wan Kuang, Woo J. Kim, John D. O'Brien

Electrical and Computer Engineering Faculty Publications and Presentations

A finite-difference time-domain (FDTD) method based on a regular Cartesian Yee’s lattice is developed for calculating the dispersion band diagram of a 2-D photonic crystal. Unlike methods that require auxiliary difference equations or nonorthogonal grid schemes, our method uses the standard centraldifference equations and can be easily implemented in a parallel computing environment. The application of the periodic boundary condition on an angled boundary involves a split-field formulation of Maxwell’s equations. We show that the method can be applied for photonic crystals of both orthogonal and nonorthogonal unit cells. Complete and accurate bandgap information is obtained by using this FDTD …

Practical Elimination Of Near-Duplicates From Web Video Search, Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Current web video search results rely exclusively on text keywords or user-supplied tags. A search on typical popular video often returns many duplicate and near-duplicate videos in the top results. This paper outlines ways to cluster and filter out the nearduplicate video using a hierarchical approach. Initial triage is performed using fast signatures derived from color histograms. Only when a video cannot be clearly classified as novel or nearduplicate using global signatures, we apply a more expensive local feature based near-duplicate detection which provides very accurate duplicate analysis through more costly computation. The results of 24 queries in a data …

Evaluating Bag-Of-Visual-Words Representations In Scene Classification, Jun Yang, Yu-Gang Jiang, Alexander G. Hauptmann, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Based on keypoints extracted as salient image patches, an image can be described as a “bag of visual words” and this representation has been used in scene classification. The choice of dimension, selection, and weighting of visual words in this representation is crucial to the classification performance but has not been thoroughly studied in previous work. Given the analogy between this representation and the bag-of-words representation of text documents, we apply techniques used in text categorization, including term weighting, stop word removal, feature selection, to generate image representations that differ in the dimension, selection, and weighting of visual words. The …