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Articles 571 - 600 of 705
Full-Text Articles in Computer Engineering
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Harvesting Single Ferroelectric Domain Stressed Nanoparticles For Optical And Ferroic Applications, Gary Cook, J. L. Barnes, S. A. Basun, Dean R. Evans, Ron F. Ziolo, Arturo Ponce, Victor Yu. Reshetnyak, Anatoliy Glushchenko, Partha P. Banerjee
Harvesting Single Ferroelectric Domain Stressed Nanoparticles For Optical And Ferroic Applications, Gary Cook, J. L. Barnes, S. A. Basun, Dean R. Evans, Ron F. Ziolo, Arturo Ponce, Victor Yu. Reshetnyak, Anatoliy Glushchenko, Partha P. Banerjee
Electrical and Computer Engineering Faculty Publications
We describe techniques to selectively harvest single ferroelectric domain nanoparticles of BaTiO3 as small as 9 nm from a plethora of nanoparticles produced by mechanical grinding. High resolution transmission electron microscopy imaging shows the unidomain atomic structure of the nanoparticles and reveals compressive and tensile surface strains which are attributed to the preservation of ferroelectric behavior in these particles.
We demonstrate the positive benefits of using harvested nanoparticles in disparate liquid crystal systems.
Characterization Of Atmospheric Turbulence Effects Over 149 Km Propagation Path Using Multi-Wavelength Laser Beacons, Mikhail Vorontsov, Gary W. Carhart, Venkata S. Rao Gudimetla, Thomas Weyrauch, Eric Stevenson, Svetlana Lachinova, Leonid A. Beresnev, Jony Jiang Liu, Karl Rehder, Jim F. Riker
Characterization Of Atmospheric Turbulence Effects Over 149 Km Propagation Path Using Multi-Wavelength Laser Beacons, Mikhail Vorontsov, Gary W. Carhart, Venkata S. Rao Gudimetla, Thomas Weyrauch, Eric Stevenson, Svetlana Lachinova, Leonid A. Beresnev, Jony Jiang Liu, Karl Rehder, Jim F. Riker
Electrical and Computer Engineering Faculty Publications
We describe preliminary results of a set of laser beam propagation experiments performed over a long (149 km) near-horizontal propagation path between Mauna Loa (Hawaii Island) and Haleakala (Island of Maui) mountains in February 2010. The distinctive feature of the experimental campaign referred to here as the Coherent Multi-Beam Atmospheric Transceiver (COMBAT) experiments is that the measurements of the atmospheric-turbulence induced laser beam intensity scintillations at the receiver telescope aperture were obtained simultaneously using three laser sources (laser beacons) with different wavelengths (λ1 = 0.53 μm, λ2 = 1.06 μm, and λ3 = 1.55 μm). The presented experimental results on …
Efficient Modular Arithmetic Units For Low Power Cryptographic Applications, Rajashekhar Reddy Modugu
Efficient Modular Arithmetic Units For Low Power Cryptographic Applications, Rajashekhar Reddy Modugu
Masters Theses
"The demand for high security in energy constrained devices such as mobiles and PDAs is growing rapidly. This leads to the need for efficient design of cryptographic algorithms which offer data integrity, authentication, non-repudiation and confidentiality of the encrypted data and communication channels. The public key cryptography is an ideal choice for data integrity, authentication and non-repudiation whereas the private key cryptography ensures the confidentiality of the data transmitted. The latter has an extremely high encryption speed but it has certain limitations which make it unsuitable for use in certain applications. Numerous public key cryptographic algorithms are available in the …
Fpga Implementation Of Pso Algorithm And Neural Networks, Parviz Palangpour
Fpga Implementation Of Pso Algorithm And Neural Networks, Parviz Palangpour
Masters Theses
"This thesis describes the Field Programmable Gate Array (FPGA) implementations of two powerful techniques of Computational Intelligence (CI), the Particle Swarm Optimization algorithm (PSO) and the Neural Network (NN). Particle Swarm Optimization (PSO) is a popular population-based optimization algorithm. While PSO has been shown to perform well in a large variety of problems, PSO is typically implemented in software. Population-based optimization algorithms such as PSO are well suited for execution in parallel stages. This allows PSO to be implemented directly in hardware and achieve much faster execution times than possible in software. In this thesis, a pipelined architecture for hardware …
Development Of Novel Backscatter Communication Systems Using A Multi-Hop Framework And Distributed Beamforming, Vikram Reddy Surendra
Development Of Novel Backscatter Communication Systems Using A Multi-Hop Framework And Distributed Beamforming, Vikram Reddy Surendra
Masters Theses
"The goal of this thesis it to develop a wireless networking framework for battery-free devices based on passive, backscatter communication. In contrast to traditional, active communication systems, where the radio signal has to be generated using large amount of energy from batteries, the passive systems reflect the RF signal. The information is encoded by modulating the reflected signal, which consumes significantly less energy than active transmission. The existing passive, backscatter systems have limited communication capabilities. For example, the Radio Frequency Identification (RFID) systems support short-distance, direct communication between active reader and passive tags. The communication range is limited due to …
Embedded Optimal Control Of Mobile Robot Formations Using Neural Networks, Bryan M. Brenner
Embedded Optimal Control Of Mobile Robot Formations Using Neural Networks, Bryan M. Brenner
Masters Theses
"This work first presents the development of a nearly-optimal control scheme and then evaluates the effectiveness of this nearly-optimal control scheme by comparing it to a non optimal controller in Paper I. It is shown that the proposed nearly-optimal scheme is a significant improvement over the non optimal one in both simulation and hardware tests. The test was carried out on a differentially driven robotic vehicle in both obstacle free and obstacle ridden environments. On the other hand, the controller introduced for the obstacle avoidance in Paper II will also function in the absence of obstacles so that no switching …
Automatic Detection Of Malignant Melanoma Using Boundary Gradient Information In Dermoscopy Images, Yogesh Ajit Dandekar
Automatic Detection Of Malignant Melanoma Using Boundary Gradient Information In Dermoscopy Images, Yogesh Ajit Dandekar
Masters Theses
"This thesis demonstrates an algorithm which uses local border features, primarily derived from the border gradient, to help determine whether the lesion is a malignant melanoma or a benign lesion. Although this algorithm uses manually-marked lesion borders, it could be included in a fully automatic routine. A Prewitt algorithm with a window size proportional to the area of the lesion is used to calculate the gradient over the entire lesion boundary. This gradient value is used to calculate various boundary features, such as mean, standard deviation, and direction of maximum gradient. The dark and white areas inside the lesion combined …
Adaptive User Interface For Vehicle Swarm Control, Paul Robinette
Adaptive User Interface For Vehicle Swarm Control, Paul Robinette
Masters Theses
"An algorithm to automatically generate behaviors for robotic vehicles has been created and tested in a laboratory setting. This system is designed to be applied in situations where a large number of robotic vehicles must be controlled by a single operator. The system learns what behaviors the operator typically issues and offers these behaviors to the operator in future missions. This algorithm uses the symbolic clustering method Gram-ART to generate these behaviors. Gram-ART has been shown to be successful at clustering such standard symbolic problems as the mushroom dataset and the Unix commands dataset. The algorithm was tested by having …
Gpu Based Processing For Airborne Detection, Dheeraj Singiresu
Gpu Based Processing For Airborne Detection, Dheeraj Singiresu
Masters Theses
"Onboard real-time processing is highly desirable in airborne detection applications. As the data processing involved here is computationally expensive, typically high power multi-rack system is required to achieve real-time detection. Use of such hardware is often not feasible in an airborne application due to space, power and weight constraints. In this thesis, different computing architectures suitable for real-time onboard processing are compared in terms of computation speed, watts/GFLOPS, and weight/GFLOPS. A brief description of the modem GPU architecture and the current GPGPU technology is provided. GPU implementations of some computationally expensive image processing applications such as band-to-band registration for Multi …
Target Detection And Feature Evaluation Of Airborne Mine Target Images, Deepika Kamakshi Timmavajjula
Target Detection And Feature Evaluation Of Airborne Mine Target Images, Deepika Kamakshi Timmavajjula
Masters Theses
"Target segmentation and detection problem is one of the preliminary approaches in analyzing an image. Many edge, region and texture based techniques have been proposed in literature. These techniques often have limitations based on types of image data, kind of segmentation of interest and the problem domain. Mine detection problem dealt with for this thesis has mine target images which have a center target consisting of false alarm or mine patch which has to be detected and features evaluated to evaluate various parameter performances. Thus, segmenting the mine patch becomes the first step of analyzing these images. This thesis is …
Forty Years Of Movie Hacking: Considering The Potential Implications Of The Popular Media Representation Of Computer Hackers From 1968 To 2008, Damian Gordon
Articles
Increasingly movies are being produced which feature plots that incorporate elements of computer security and hacking, and cumulatively these movies are creating a public perception as to the nature of computer security. This research examines movies that feature hackers (and hacking) to identify if any common themes emerge from these movies in their representation of these issues. To achieve this, first a corpus of hacking movies is created, and then using a qualitative data analysis technique, guidelines are developed which distinguish those movies that actually have the potential to create a perception with the general public. The resultant dataset is …
Defending Privacy: The Development And Deployment Of A Darknet, Conor Mcmanamon, Fredrick Mtenzi
Defending Privacy: The Development And Deployment Of A Darknet, Conor Mcmanamon, Fredrick Mtenzi
Conference papers
New measures imposed by governments, Internet service providers and other third parties which threaten the state of privacy are also opening new avenues to protecting it. The unwarranted scrutiny of legitimate services such as file hosters and the BitTorrent protocol, once relatively unknown to the casual Internet user, is becoming more obvious. The darknet is a rising contender against these new measures and will preserve the default right to privacy of Internet users. A darknet is defined in the context of file sharing as a network which operates on top of another network such as the Internet for the purpose …
Helmsman, Set A Course : Using A Compass And Rfid Tags For Indoor Localisation And Navigation, Yan Li, Brian Mac Namee, John D. Kelleher
Helmsman, Set A Course : Using A Compass And Rfid Tags For Indoor Localisation And Navigation, Yan Li, Brian Mac Namee, John D. Kelleher
Conference papers
Localisation and navigation are still two of the most important issues in mobile robotics. In certain indoor application scenarios RFID (radio frequency identification)-based absolute localisation has been found to be especially successful in supporting navigation. In this paper we evaluate the feasibility of an RFID and compass based approach to robot localisation and navigation for indoor environments that are dominated by corridors. We describe our system and evaluate its performance in a small, but full-scale, test environment.
Navigating The Corridors Of Power : Using Rfid And Compass Sensors For Robot Localisation And Navigation, Yan Lee, Brian Mac Namee, John D. Kelleher
Navigating The Corridors Of Power : Using Rfid And Compass Sensors For Robot Localisation And Navigation, Yan Lee, Brian Mac Namee, John D. Kelleher
Conference papers
Localisation and navigation are still of the most important issues in mobile robotics. In certain indoor application scenarios Radio frequency identification (RFID) based absolute localisation has been found to be especially successful in supporting navigation. In this paper we examine the feasibility of an RFID and compass based approach to robot localisation and navigation for indoor environments that are dominated by corridors. We present a proof of concept system and show how it can be used to localized within and navigate through an environment.
Evaluating Sensorineural Hearing Loss With An Auditory Nerve Model Using A Mean Structural Similarity Measure, Andrew Hines, Naomi Harte
Evaluating Sensorineural Hearing Loss With An Auditory Nerve Model Using A Mean Structural Similarity Measure, Andrew Hines, Naomi Harte
Conference papers
Hearing loss research has traditionally been based on perceptual criteria, speech intelligibility and threshold levels. The development of computational models of the auditory-periphery has allowed experimentation via simulation to provide quantitative, repeatable results at a more granular level than would be practical with clinical research on human subjects. This work seeks to create an objective measure to automate this inspection process and ranks hearing losses based on auditory-nerve discharge patterns. A systematic way of assessing phonemic degradation using the outputs of an auditory nerve model for a range of sensorineural hearing losses would aid in rapid prototyping development of speech-processing …
Detection Of Roof Boundaries Using Lidar Data And Aerial Photography, Andrew David Gombos
Detection Of Roof Boundaries Using Lidar Data And Aerial Photography, Andrew David Gombos
University of Kentucky Master's Theses
The recent growth in inexpensive laser scanning sensors has created entire fields of research aimed at processing this data. One application is determining the polygonal boundaries of roofs, as seen from an overhead view. The resulting building outlines have many commercial as well as military applications. My work in this area has created a segmentation algorithm where the descriptive features are computationally and theoretically simpler than previous methods. A support vector machine is used to segment data points using these features, and their use is not common for roof detection to date. Despite the simplicity of the feature calculations, the …
Security In Ad Hoc Networks And Pervasive Computing, Isaac Z. Wu, X.-Y. Li, M. Song, C.-M. Liu
Security In Ad Hoc Networks And Pervasive Computing, Isaac Z. Wu, X.-Y. Li, M. Song, C.-M. Liu
Electrical & Computer Engineering Faculty Publications
Pervasive computing is an exciting and blooming research field, in which innovative techniques and applications are continuously emerging and aim to provide ambient and personalized services to users with high quality. Ad hoc networks are wireless, self-organizing systems formed by cooperating nodes within communication range of each other that form temporary networks. Their topology is dynamic, decentralized, ever changing and the nodes may move around arbitrarily. The last few years have witnessed a wealth of research ideas on ad hoc networking that are moving rapidly into implemented standards. Technology under development for ad hoc networks and pervasive computing is making …
Super Special Codes Using Super Matrices, Florentin Smarandache, W.B. Vasantha Kandasamy, K. Ilanthenral
Super Special Codes Using Super Matrices, Florentin Smarandache, W.B. Vasantha Kandasamy, K. Ilanthenral
Branch Mathematics and Statistics Faculty and Staff Publications
The new classes of super special codes are constructed in this book using the specially constructed super special vector spaces. These codes mainly use the super matrices. These codes can be realized as a special type of concatenated codes. This book has four chapters. In chapter one basic properties of codes and super matrices are given. A new type of super special vector space is constructed in chapter two of this book. Three new classes of super special codes namely, super special row code, super special column code and super special codes are introduced in chapter three. Applications of these …
Data Compression Concepts And Algorithms And Their Applications To Bioinformatics, Ozkan U. Nalbantoglu, David J. Russell, Khalid Sayood
Data Compression Concepts And Algorithms And Their Applications To Bioinformatics, Ozkan U. Nalbantoglu, David J. Russell, Khalid Sayood
Department of Electrical and Computer Engineering: Faculty Publications
Data compression at its base is concerned with how information is organized in data. Understanding this organization can lead to efficient ways of representing the information and hence data compression. In this paper we review the ways in which ideas and approaches fundamental to the theory and practice of data compression have been used in the area of bioinformatics. We look at how basic theoretical ideas from data compression, such as the notions of entropy, mutual information, and complexity have been used for analyzing biological sequences in order to discover hidden patterns, infer phylogenetic relationships between organisms and study viral …
E-Quality: Using Dimensional Index Values Towards Improving Classification Accuracy, Prashanth Devaram
E-Quality: Using Dimensional Index Values Towards Improving Classification Accuracy, Prashanth Devaram
Open Access Theses & Dissertations
E-quality is a process through which inspection of the process and quality of the part produced is done online resulting in the improvement of the process and reduction in the amount of time consumed for the overall process. Automated quality control involves using a methodology to classify the parts based on the dimensions of the features on a part. However, achieving 100% classification accuracy is not an easy task, especially in area of quality control where small differences in dimensions result in part fall into a different category. In this study, a novel approach for modifying the data before being …
Understanding User-Generated Content On Social Media, Bala Meenakshi Nagarajan
Understanding User-Generated Content On Social Media, Bala Meenakshi Nagarajan
Browse all Theses and Dissertations
Over the last few years, there has been a growing public and enterprise fascination with 'social media' and its role in modern society. At the heart of this fascination is the ability for users to participate, collaborate, consume, create and share content via a variety of platforms such as blogs, micro-blogs, email, instant messaging services, social network services, collaborative wikis, social bookmarking sites, and multimedia sharing sites.
This dissertation is devoted to understanding informal user-generated textual content on social media platforms and using the results of the analysis to build Social Intelligence Applications.
The body of research presented in this …
Simulating 3d With Mono Video, James J. Hooker
Simulating 3d With Mono Video, James J. Hooker
Browse all Theses and Dissertations
There are different techniques to manipulate certain characteristics within mono videos to create a 3D effect when rendered and viewed. One is to display a selected frame to one eye and a different frame to the other eye so that movement of scene parts on the retina between different frames is interpreted by the viewer as visual disparity and, as a result, creates a 3D scene. Testing using StereoDisplay, a custom developed application using this technique, showed that it is effective in providing a 3D effect with some videos. Motion of the camera is required for a 3-D effect, restricting …
Robotic Goal-Based Semi-Autonomous Algorithms Improve Remote Operator Performance, Shawn Hunt
Robotic Goal-Based Semi-Autonomous Algorithms Improve Remote Operator Performance, Shawn Hunt
Wayne State University Dissertations
The focus of this research was to determine if reliable goal-based semi-autonomous algorithms are able to improve remote operator performance or not. Two semi-autonomous algorithms were examined: visual servoing and visual dead reckoning. Visual servoing uses computer vision techniques to generate movement commands while using internal properties of the camera combined with sensor data that tell the robot its current position based on its previous position. This research shows that the semi-autonomous algorithms developed increased performance in a measurable way. An analysis of tracking algorithms for visual servoing was conducted and tracking algorithms were enhanced to make them as robust …
Unified Role Assignment Framework For Wireless Sensor Networks, Manish Mahendra Kumar Kochhal
Unified Role Assignment Framework For Wireless Sensor Networks, Manish Mahendra Kumar Kochhal
Wayne State University Dissertations
Wireless sensor networks are made possible by the continuing improvements in embedded sensor, VLSI, and wireless radio technologies. Currently, one of the important challenges in sensor networks is the design of a systematic network management framework that allows localized and collaborative resource control uniformly across all application services such as sensing, monitoring, tracking, data aggregation, and routing.
The research in wireless sensor networks is currently oriented toward a cross-layer network abstraction that supports appropriate fine or course grained resource controls for energy efficiency. In that regard, we have designed a unified role-based service paradigm for wireless sensor networks. We pursue …
Filter Scheduling Function Model In Internet Server: Resource Configuration, Performance Evaluation And Optimal Scheduling, Minghua Xu
Wayne State University Dissertations
ABSTRACT
FILTER SCHEDULING FUNCTION MODEL IN INTERNET SERVER:
RESOURCE CONFIGURATION, PERFORMANCE EVALUATION AND
OPTIMAL SCHEDULING
by
MINGHUA XU
August 2010
Advisor: Dr. Cheng-Zhong Xu
Major: Computer Engineering
Degree: Doctor of Philosophy
Internet traffic often exhibits a structure with rich high-order statistical properties like selfsimilarity
and long-range dependency (LRD). This greatly complicates the problem of
server performance modeling and optimization. On the other hand, popularity of Internet
has created numerous client-server or peer-to-peer applications, with most of them,
such as online payment, purchasing, trading, searching, publishing and media streaming,
being timing sensitive and/or financially critical. The scheduling policy in Internet servers …
Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics, Keshav Chintamani
Augmented Reality Navigation Interfaces Improve Human Performance In End-Effector Controlled Telerobotics, Keshav Chintamani
Wayne State University Dissertations
On the International Space Station (ISS) and space shuttles, the National Aeronautics and Space Administration (NASA) has used robotic manipulators extensively to perform payload handling and maintenance tasks. Teleoperating robots require expert skills and optimal performance is crucial to mission completion and crew safety. Degradation in performance is observed when manual control is mediated through remote camera views, resulting in poor end-effector navigation quality and extended task completion times. This thesis explores the application of three-dimensional augmented reality (AR) interfaces specifically designed to improve human performance during end-effector controlled teleoperations. A modular telerobotic test bed was developed for this purpose …
Mining Shared Decision Trees Between Datasets, Qian Han
Mining Shared Decision Trees Between Datasets, Qian Han
Browse all Theses and Dissertations
This thesis studies the problem of mining models, patterns andstructures (MPS) shared by two datasets (applications), a well understood dataset, denoted as WD, and a poorly understood one, denoted as PD. Combined with users' familiarity with WD, the shared MPS can help users better understand PD, since they capture similarities between WD and PD. Moreover, the knowledge on such similarities can enable the users to focus attention on analyzing the unique behavior of PD. Technically, this thesis focuses on the shared decision tree mining problem. In order to provide a view on the similarities between WD and PD, this thesis …
Development Of A Remote Medical Image Browsing And Interaction System, Wei Ye
Development Of A Remote Medical Image Browsing And Interaction System, Wei Ye
Browse all Theses and Dissertations
In this thesis a new capability - remote image browsing built upon our existing music telepresence platform is introduced. The implementation of this new image capability has two parts: one part is the local image viewing and the other part is distributed image-view interaction. Image viewing part is realized using the foundation of Linux GTK+ library. Most popular lossless and lossy image coding formats such as GIF, PNG, BMP and JPEG are supported currently. Image viewing part also provides several image operations such as: zoom in and zoom out, image information display and moreover users can select their own regions …
A Study Of Evolvable Hardware Adaptive Oscillators For Augmentation Of Flapping-Wing Micro Air Vehicle Altitude Control, Bharath Venugopal Chengappa
A Study Of Evolvable Hardware Adaptive Oscillators For Augmentation Of Flapping-Wing Micro Air Vehicle Altitude Control, Bharath Venugopal Chengappa
Browse all Theses and Dissertations
The control of insect-sized flapping-wing micro air vehicles is fraught with difficulties. Even when adequate control laws are known, limits on computational precision and floating-point processing can render it difficult to field implementations that provide sufficiently accurate and precise vehicle body placement and pose. Augmentation of an existing altitude controller with an Evolvable Adaptive Hardware (EAH) oscillator has been proposed as a means for an on-board altitude controller to correct control precision and accuracy difficulties during normal flight. This thesis examines a range of setting of the internal learning algorithms for the EAH oscillator and provides empirical evidence about which …