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Articles 1141 - 1170 of 1335
Full-Text Articles in Computer Sciences
A Distributed Ai Approach For Large-Scale Wlan Design, Alan Mcgibney
A Distributed Ai Approach For Large-Scale Wlan Design, Alan Mcgibney
Theses
The recent dramatic trend towards always-on-connectivity has driven the need for mobile ubiquitous computing environments with the advent of the Wireless Local Area Network (WLAN) seeing a shift from traditional wired networks to wireless networking. A WLAN typically contains a number of access points that allow wireless enabled clients access information and network resources such as the internet without the need for wires, offering flexibility and mobility to the users. Initial wireless networks were convenience based allowing users access to the primary wired network, and involved little planning prior to roll-out. The proliferation of low cost wireless devices combined wdth …
Phase-Shifting Haar Wavelets For Image-Based Rendering Applications, Mais Alnasser
Phase-Shifting Haar Wavelets For Image-Based Rendering Applications, Mais Alnasser
Electronic Theses and Dissertations
In this thesis, we establish the underlying research background necessary for tackling the problem of phase-shifting in the wavelet transform domain. Solving this problem is the key to reducing the redundancy and huge storage requirement in Image-Based Rendering (IBR) applications, which utilize wavelets. Image-based methods for rendering of dynamic glossy objects do not truly scale to all possible frequencies and high sampling rates without trading storage, glossiness, or computational time, while varying both lighting and viewpoint. This is due to the fact that current approaches are limited to precomputed radiance transfer (PRT), which is prohibitively expensive in terms of memory …
A Practical Approach To Robotic Design For The Darpa Urban Challenge, Benjamin J. Patz, Yiannis Papelis, Remo Pillat, Gary Stein, Don Harper
A Practical Approach To Robotic Design For The Darpa Urban Challenge, Benjamin J. Patz, Yiannis Papelis, Remo Pillat, Gary Stein, Don Harper
VMASC Publications
This article presents a practical approach to engineering a robot to effectively navigate in an urban environment. Inherent in this approach is the use of relatively simple sensors, actuators, and processors to generate robot vision, intelligence, and planning. Sensor data are fused from multiple low-cost, two-dimensional laser scanners With an innovative rotational mount to provide three-dimensional coverage with image processing using both range and intensity data. Information is combined With Doppler radar returns to yield a world view processed by a context-based reasoning control system to yield tactical mission commands forwarded to traditional proportional-integral-derivative (PID) control loops. As an example …
Visual Language Representation For Use Case Evolution And Traceability, Coretta Willis Douglas
Visual Language Representation For Use Case Evolution And Traceability, Coretta Willis Douglas
LSU Doctoral Dissertations
The primary goal of this research is to assist non-technical stakeholders involved in requirements engineering with a comprehensible method for managing changing requirements within a specific domain. An important part of managing evolving requirements over time is to maintain a temporal ordering of the changes and to support traceability of the modifications. This research defines a semi-formal syntactical and semantic definition of such a method using a visual language, RE/TRAC (Requirements Evolution with Traceability), and a supporting formal semantic notation RE/TRAC-SEM. RE/TRAC-SEM is an ontological specification employing a combination of models, including verbal definitions, set theory and a string language …
A Novel Automated Approach Of Multi-Modality Retinal Image Registration And Fusion, Hua Cao
A Novel Automated Approach Of Multi-Modality Retinal Image Registration And Fusion, Hua Cao
LSU Doctoral Dissertations
Biomedical image registration and fusion are usually scene dependent, and require intensive computational effort. A novel automated approach of feature-based control point detection and area-based registration and fusion of retinal images has been successfully designed and developed. The new algorithm, which is reliable and time-efficient, has an automatic adaptation from frame to frame with few tunable threshold parameters. The reference and the to-be-registered images are from two different modalities, i.e. angiogram grayscale images and fundus color images. The relative study of retinal images enhances the information on the fundus image by superimposing information contained in the angiogram image. Through the …
Association-Based Image Retrieval For Automatic Target Recognition., Arun D. Kulkarni, H. Gunturu, S. Dalta
Association-Based Image Retrieval For Automatic Target Recognition., Arun D. Kulkarni, H. Gunturu, S. Dalta
Computer Science Faculty Publications and Presentations
Model-based automatic target recognition (ATR)systems deal with recognizing three dimensional objects from two dimensional images. In order to recognizeand identify objects the ATRsystem must have one or more stored models. Multiple two dimensional views of each three dimensional objectthat may appear in the universe it deals withare stored in the database. During recognition, two dimensional view of atarget object is used a query image and the search is carried out to identify the corresponding three dimensional object. Stages of a model-based ATR system include preprocessing, segmentation, feature extraction, and searching thedatabase. One of the most important problems in a model-based …
Set Linear Algebra And Set Fuzzy Linear Algebra, Florentin Smarandache, W.B. Vasantha Kandasamy, K. Ilanthenral
Set Linear Algebra And Set Fuzzy Linear Algebra, Florentin Smarandache, W.B. Vasantha Kandasamy, K. Ilanthenral
Branch Mathematics and Statistics Faculty and Staff Publications
In this book, the authors define the new notion of set vector spaces which is the most generalized form of vector spaces. Set vector spaces make use of the least number of algebraic operations, therefore, even a non-mathematician is comfortable working with it. It is with the passage of time, that we can think of set linear algebras as a paradigm shift from linear algebras. Here, the authors have also given the fuzzy parallels of these new classes of set linear algebras. This book abounds with examples to enable the reader to understand these new concepts easily. Laborious theorems and …
Pathos: Pervasive At Home Sleep Monitoring, Ian Obermiller, Sheikh Iqbal Ahamed
Pathos: Pervasive At Home Sleep Monitoring, Ian Obermiller, Sheikh Iqbal Ahamed
Mathematics, Statistics and Computer Science Faculty Research and Publications
Sleeping disorders affect a large percentage of the population, and many of them go undiagnosed each year because the method of diagnosis is to stay overnight at a sleep center. Because pervasive technologies have become so prevalent and affordable, sleep monitoring is no longer confined to a permanent installation, and can therefore be brought directly into the user home. We present a unique solution to the problem of home sleep monitoring that has the possibility to take the place of and expand on the data from a sleep center. PATHOS focuses not only on analyzing patterns during the night, but …
Characterization Of Digraphs With Equal Domination Graphs And Underlying Graphs, Kim A. S. Factor, Larry J. Langley
Characterization Of Digraphs With Equal Domination Graphs And Underlying Graphs, Kim A. S. Factor, Larry J. Langley
Mathematics, Statistics and Computer Science Faculty Research and Publications
A domination graph of a digraph D , dom(D)dom(D), is created using the vertex set of D and edge {u,v}∈E[dom(D)]{u,v}∈E[dom(D)] whenever (u,z)∈A(D)(u,z)∈A(D) or (v,z)∈A(D)(v,z)∈A(D) for every other vertex z∈V(D)z∈V(D). The underlying graph of a digraph DD, UG(D)UG(D), is the graph for which D is a biorientation. We completely characterize digraphs whose underlying graphs are identical to their domination graphs, UG(D)=dom(D)UG(D)=dom(D). The maximum and minimum number of single arcs in these digraphs, and their characteristics, is given.
Empirical Bayes And Hierarchical Bayes Estimation Of Skew Normal Populations, Naveen K. Bansal, Mehdi Maadooliat, Xiaowei Wang
Empirical Bayes And Hierarchical Bayes Estimation Of Skew Normal Populations, Naveen K. Bansal, Mehdi Maadooliat, Xiaowei Wang
Mathematics, Statistics and Computer Science Faculty Research and Publications
We develop empirical and hierarchical Bayesian methodologies for the skew normal populations through the EM algorithm and the Gibbs sampler. A general concept of skewness to the normal distribution is considered throughout. Motivations are given for considering the skew normal population in applications, and an example is presented to demonstrate why the skew normal distribution is more applicable than the normal distribution for certain applications.
A Distributed Reconstruction Of Ekg Signals, Gabriel Cordova
A Distributed Reconstruction Of Ekg Signals, Gabriel Cordova
Open Access Theses & Dissertations
In this Thesis the parallel computing methodology is applied to an algorithm used in the reconstruction of electrocardiographic (EKG) measurements. The reconstructions are being performed to obtain a better understanding of the source and behavior of the electrical activity that generates the EKG measurements. The contribution of this Thesis is to identify and eliminate inefficiencies present in the current reconstruction algorithm. Additionally, this Thesis reduces the computation times of the EKG reconstruction by applying distributed computing through the use of Remote Procedure Calls (RPC). Lastly, it provides an analysis of the speed-up and efficiency of the distribution implemented using parallel …
Robot Controller Architecture: Layered Mode Selection Logic With Fuzzy Sensor Fusion Network, Traig E.B. Born
Robot Controller Architecture: Layered Mode Selection Logic With Fuzzy Sensor Fusion Network, Traig E.B. Born
Theses and Dissertations
A behavior based robot controller was implemented using Layered Mode Selection Logic as a behavior coordination mechanism and a Fuzzy Sensor Fusion Network to provide perception. A series of collision experiments were conducted to create a Fuzzy Sensor Fusion Network capable of detecting collisions using acceleration readings from wheel encoders. An obstacle avoidance behavior was created, and it was demonstrated that the robot could be constrained by movable obstacles. The avoidance behavior was modified to create an obstacle manipulation behavior. This behavior allowed the robot to escape when enclosed by movable obstacles. The fuzzy sensor fusion network was enhanced to …
Network Security In Two-Year Colleges, Tamya Jean Stallings
Network Security In Two-Year Colleges, Tamya Jean Stallings
Theses and Dissertations
Network security has become a growing challenge in industry and education. With the increase of viruses, spam, hackers, and identity theft, organizations are beginning to look at areas to improve the protection of their Information Technology structure. Higher Education has the highest vulnerability to network security threats especially the two-year institutions. Two-year institutions are known for open access admission. Open labs, limited staff and resources hinder security measures for these institutions. This thesis focuses on the two-year institution delving into the Information Technology Departments and how security is handled. What challenges have these institutions faced trying to protect data and …
Networks And Network Security, Michael Kuralt
Networks And Network Security, Michael Kuralt
Theses and Dissertations
In a world of ever-increasing security threats, companies have the difficult task of securing their networks from attack. One of the largest threats to a company is the users on its network. By educating its network administrators and employees about network threats, a company can lower its vulnerability to network attacks. Individual users also can benefit from understanding networks and network security by learning how to keep their computer and their information safe. Companies and users can stay safe by understanding how a network functions, what threats exist on the Internet, how to prevent and deal with attacks, and how …
Providing Vcr Functionality In Vod Servers, Ngyat Tsui
Providing Vcr Functionality In Vod Servers, Ngyat Tsui
Master's Projects
Resource-sharing techniques are widely used by VOD servers. Stream merging is one of the most efficient resource-sharing techniques. ERMT is able to achieve merge trees with the closest cost of optimal merge tree. Full VCR support has become a “must have” feature for VOD services. This researcher proposed an algorithm to enable VCR support on ERMT. Furthermore, client local buffer and fixed-interval periodical multicasting were also deployed by the algorithm to improve the stream-client ratio. After thorough runs of simulations and numerous comparisons to BEP, the highly efficient resource- sharing technique, the proposed algorithm with client local buffer utilization and …
Personalized Shopping Agent For Semantic Web, Ramani Arunachalam
Personalized Shopping Agent For Semantic Web, Ramani Arunachalam
Master's Projects
Current online shopping experience has limitations due to lack of uniform, inter- linked machine readable data across various shopping sites. This project attempts to improve the experience by employing semantic web concepts such as OWL and SPARQL. A new OWL ontology is defined for product data and real-life data from shopping sites such as Amazon, Yahoo shopping are imported and inter-linked using this ontology. A web-based personalized shopping agent is implemented to query this inter- linked database by specifying the preferences for various product attributes. Screenshots of the resulting system and its usage have been provided.
Personalized Web Content With Fuzzy System, Bassam Almogahed
Personalized Web Content With Fuzzy System, Bassam Almogahed
Master's Projects
In this paper, we will develop a new computational intelligence methodology to automatically analyze and summarize web content during a user surfing sessions. The output of this process is meaningful keywords or phrases which will be used to bring the user other contents such as images that closely relate to the web pages that he or she is currently surfing.
Heuristic Health Resource Referral (H2r2) Engine, Duy Vo
Heuristic Health Resource Referral (H2r2) Engine, Duy Vo
Master's Projects
Searching for health resources is difficult for many individuals because it requires domain knowledge and understanding of search engines techniques. Our system proposes a paradigm shift whereby users provide as much or as little information as they feel comfortable, and we endeavor to match them with relevant health resources. The system first attempts to identify risk factors through a heuristic engine that employs fuzzy logic and then searches for health resources based on the user’s profile. We aim to unburden the user from having to understand complex health information and sometimes esoteric search techniques. Our preliminary findings show that a …
Investigating The Effectiveness Of Active Interaction Tools On Student Learning, Lurie Andrei
Investigating The Effectiveness Of Active Interaction Tools On Student Learning, Lurie Andrei
Master's Projects
In this project, we investigate the effectiveness of active interaction animation tools for learning. We limit our scope to a particular computer science course that teaches graph algorithms on an undergraduate level. More specifically, we evaluate student understanding of basic graph algorithms when two kinds of interactive animation tools are used by the students to learn the algorithms: active interaction and passive interaction. We hypothesize that animations which engage students in active interaction are more effective and more beneficial to learning and comprehension than the animations which do not explicitly engage students in active interaction. We conduct an experiment and …
Towards An Undetectable Computer Virus, Priti Desai
Towards An Undetectable Computer Virus, Priti Desai
Master's Projects
Metamorphic viruses modify their own code to produce viral copies which are syntactically different from their parents. The viral copies have the same functionality as the parent but may have different signatures. This makes signature-based virus scanners unreliable for detecting metamorphic viruses. But statistical pattern analysis tool such as Hidden Markov Models (HMMs) can detect metamorphic viruses. Virus writers use many different code obfuscation techniques to generate metamorphic viruses. In this project we develop a metamorphic engine using code obfuscation techniques. Our metamorphic engine is designed to produce highly diverse morphed copies of the base virus. We show that commercial …
Study Of Tcp Issues Over Wireless And Implementation Of Iscsi Over Wireless For Storage Area Networks, Rahul Sharma
Study Of Tcp Issues Over Wireless And Implementation Of Iscsi Over Wireless For Storage Area Networks, Rahul Sharma
Master's Projects
The Transmission Control Protocol (TCP) has proved to be proficient in classical wired networks, presenting an ability to acclimatize to modern, high-speed networks and present new scenarios for which it was not formerly designed. Wireless access to the Internet requires that information reliability be reserved while data is transmitted over the radio channel. Automatic repeat request (ARQ) schemes and TCP techniques are often used for error-control at the link layer and at the transport layer, respectively. TCP/IP is becoming a communication standard [1]. Initially it was designed to present reliable transmission over IP protocol operating principally in wired networks. Wireless …
Practical Detection Of Metamorphic Computer Viruses, Sharmidha Govindaraj
Practical Detection Of Metamorphic Computer Viruses, Sharmidha Govindaraj
Master's Projects
Metamorphic virus employs code obfuscation techniques to mutate itself. It absconds from signature-based detection system by modifying internal structure without compromising original functionality. However, it has been proved that machine learning technique like Hidden Markov model (HMM) can detect such viruses with high probability. HMM is a state machine where each state observes the input data with appropriate observation probability. HMM learns statistical properties of “virus features” rather than “signatures” and relies on such statistics to detect same family virus. Each HMM is trained with variants of same family viruses that are generated by same metamorphic engine so that HMM …
Peer-To-Peer Botnets: Analysis And Detection, Jeet Morparia
Peer-To-Peer Botnets: Analysis And Detection, Jeet Morparia
Master's Projects
Attacks such as spamming, distributed denial of service and phishing have become commonplace on the Internet. In the past, attackers would use high bandwidth Internet connection servers to accomplish their tasks. Since desktop users today have high-speed Internet connections, attackers infect users’ desktops and harness their computing power to perform malicious activities over the Internet. As attackers develop new methods to attack from distributed locations as well as avoid being detected, there is a need to develop efficient methods to detect and mitigate this epidemic of infection of hosts on the network. In this project, we aim to analyze the …
Intelligent Query For Real Estate Search, Mandeep Jandir
Intelligent Query For Real Estate Search, Mandeep Jandir
Master's Projects
The purpose of this project is to improve search query accuracy in a real estate website by developing an intelligent query system which provides the best matching result for standard search criteria. This intelligent query website utilizes fuzzy logic and partial membership to filter query results based on user input data. Fuzzy logic helps obtain results that are otherwise not attainable from a non-fuzzy search. A non-fuzzy search entails search results that match exactly with the given criteria. This project also allows a user to do a free keyword search. This type of search uses synonyms of the keywords to …
Iphone Securtity Analysis, Vaibhav Ranchhoddas Pandya
Iphone Securtity Analysis, Vaibhav Ranchhoddas Pandya
Master's Projects
The release of Apple’s iPhone was one of the most intensively publicized product releases in the history of mobile devices. While the iPhone wowed users with its exciting design and features, it also outraged many for not allowing installation of third party applications and for working exclusively with AT&T wireless services for the first two years. Software attacks have been developed to get around both limitations. The development of those attacks and further evaluation revealed several vulnerabilities in iPhone security. In this paper, we examine several of the attacks developed for the iPhone as a way of investigating the iPhone’s …
Botnets And Distributed Denial Of Service Attacks, Anilkumar Panicker
Botnets And Distributed Denial Of Service Attacks, Anilkumar Panicker
Master's Projects
With their ever increasing malicious capabilities and potential to infect a vast majority of computers on the Internet, botnets are emerging as the single biggest threat to Internet security. The aim of this project is to perform a detailed analysis of botnets and the vulnerabilities exploited by them to spread themselves and perform various malicious activities such as DDoS attacks. DDoS attacks are without doubt the most potent form of attacks carried out by botnets. In order to better understand this growing phenomenon and develop effective counter measures, it is necessary to be able to simulate DDoS attacks in a …
Motif Discovery In Biological Sequences, Medha Pradhan
Motif Discovery In Biological Sequences, Medha Pradhan
Master's Projects
With the large amount of biological data generated due to DNA sequencing of various organisms, it is becoming necessary to identify techniques that can help in finding useful information amongst all the data. Finding motifs involves determining meaningful short sequences that may be repeated over many sequences in various species. Various approaches for the motif discovery problem have been proposed in the literature. One method suggests using genetic algorithms. In this project, an evolutionary approach for motif discovery has been explored. The population is clustered during every generation of the algorithm and then evolved locally within the clusters to allow …
Trust-Networks In Recommender Systems, Kristen Mori
Trust-Networks In Recommender Systems, Kristen Mori
Master's Projects
Similarity-based recommender systems suffer from significant limitations, such as data sparseness and scalability. The goal of this research is to improve recommender systems by incorporating the social concepts of trust and reputation. By introducing a trust model we can improve the quality and accuracy of the recommended items. Three trust-based recommendation strategies are presented and evaluated against the popular MovieLens [8] dataset.
Accelerometer Based Motion Gestures For Mobile Devices, Neel Parikh
Accelerometer Based Motion Gestures For Mobile Devices, Neel Parikh
Master's Projects
Many smart phones today use tiny sensors called accelerometers to provide enhanced user interface controls. Accelerometers measure the linear acceleration in the x, y, z directions based on the movement of the phone. These sensors basically reduce the need of dedicated navigation and function keys on the mobile device. Accelerometer based mobile devices use this principle for creating applications like games, controlling the orientation of the display screen, etc. The goal of this project is to extend the WebKit browser interface of Google’s mobile development platform called ‘Android’ by creating accelerometer based motion features like shake feature, orientation of images, …
Algorithm To Obtain Total Order From Partial Orders For Social Networks, Chandrika Satyavolu
Algorithm To Obtain Total Order From Partial Orders For Social Networks, Chandrika Satyavolu
Master's Projects
We developed an algorithm for generating total orders from partial orders based on a variant of QuickSort. We also constructed a website: 100 best movies! that would generate and display the total order of the best 100 movies from partial orders that are humanly ordered and stored in a database. The users of the website can add new movies of different categories to the database. The users can also generate partial rankings within specific categories. The total order of 100 best movies! would be calculated from the humanly computed partial orders stored in the database.