MS Theses - DO NOT EDIT: Recent submissions
Now showing items 21-40 of 330
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Multi-source UAV-based object classification using CNN’s and Data acquisition system for Robotic Skin
(2017-08-16)Autonomous robots are intelligent systems capable of performing tasks in the world by themselves, without explicit human control. Examples range from autonomous helicopters to Roomba, the robot vacuum cleaner to robotic ... -
A supervised approach for training Gaussian Mixture Model classifiers
(2017-08-22)A new method for training Gaussian Mixture Model (GMM) classifiers is presented. First, an objective function is defined in terms of the number of clusters, K, per class, the mean vectors, the inverse covariance matrices ... -
FUTURE OF JPEG XT: PRIVACY AND SECURITY
(2016-05-10)JPEG is de facto the most important and popular image format since 1992 which provides compressed images to a great extent. JPEG XT, the latest standardization of the JPEG committee, provides some amazing features like: ... -
Adaptive Torque Control of a Robotic Manipulator
(2016-09-02)In this thesis, I present the theory and application of enabling intuitive control and physical interaction between a human operator and a mobile manipulator. To do so, the model of the manipulator was estimated for its ... -
Homogeneous Transcoding of HEVC (H.265)
(2017-05-10)Video transcoding is an essential tool to promote inter-operability between different video communication systems. This thesis presents a cascaded architecture for homogeneous transcoding of High Efficiency Video ... -
SIMULATION AND DESIGN OF MICROBOLOMETERS FOR 5-14 µm WAVELENGTH AT OBLIQUE INCIDENCE
(2017-05-09)A mathematical model was developed to calculate the total power absorbed and total power reflected for a microbolometer for oblique incidence of light viz. s and p polarization by varying the angle of incidence from 1 to ... -
Channel Coding Techniques for 5G Using Polar Codes
(2017-05-01)Coding and modulation in the crown known as the communications technology, embodies a national basic theory of the overall strength of communication science. Channel coding is a way of encoding data in a communication ... -
A STUDY OF CONSENSUS AND COLLISION AVOIDANCE IN A PLATOON OF VEHICLES USING ADAPTIVE CRUISE CONTROL
(2017-05-09)Vehicle platooning has been the subject of much research. Transfer function analysis of intervehicle distance errors is traditionally utilized to analyze the string stability of platoons. Consensus theory has been the ... -
Self-similarity And Modeling Of LTE / LTE-A Data Traffic
The mobile wireless communication system has evolved into its 4th generation with ubiquitous availability assuring higher data rates and reliable communication. To achieve a robust and reliable network, it is necessary to ... -
Physical Human Robot Interaction Using Model Reference Neuroadaptive Control
In this work Physical Human-Robot Interaction (pHRI) related problems are addressed as a part of the research going on in Assistive Robotics in the University of Texas Research Institute (UTARI). A novel model reference ... -
DISTRIBUTED ALGORITHMS FOR ELECTRIC VEHICLE CHARGING
(2015-12-08)Coordinated charging of plug-in electric vehicles (PEVs) can effectively mitigate the negative effects imposed on the power distribution grid by uncoordinated charging. Simultaneously, coordinated charging algorithms can ... -
EXPERIMENTAL INVESTIGATION OF SPATIAL-MODE-SELECTIVE FREQUENCY UP-CONVERSION
(2015-11-30)We experimentally investigate the spatial-mode-selective frequency up-conversion by sum-frequency generation in a second-order medium. In particular, we are interested in zero and first order Gaussian modes. In our ... -
OPTIMAL ATTRIBUTE WEIGHTING IN A NEAREST NEIGHBOR CLASSIFIER
(2016-12-20)Nearest Neighbor algorithms are non-parametric algorithms that use distance measure techniques for classification and regressions. This thesis, first improves the traditional nearest neighbor classifier by optimizing its ... -
IMPLEMENTATION OF A JAVA PROCESSOR ON A FPGA
(2016-12-08)Java, a programming language developed by Sun Microsystems in 1991, now managed by Oracle, has become one of the most popular computer languages for application development. This popularity can be credited to Java being ... -
TRAJECTORY TRACKING CONTROL OF A QUADROTOR DURING COOPERATIVE OPERATION BETWEEN UAV AND UGV
(2016-12-20)In recent times, there has been an increase in the use and application of unmanned aerial vehicles (UAVs). UAVs are used for various operations ranging from military applications to civilian purposes such as traffic ... -
SMARTPHONE-BASED CROWD SOURCING OF BICYCLE AND PEDESTRIAN CONFLICT DATA FOR TRANSPORTATION SAFETY ASSESSMENT
(2016-08-15)This thesis presents the idea of mobile application development that aims at data collection for transportation safety assessment using cloud-based database. At present, transportation safety assessment relies only on data ... -
Time-Triggered Controller Area Network Design for Formula SAE Racecars and Technique for Measuring CPU Usage on Systems with Nested and Non-Nested Interrupts
(2016-08-26)This document presents a design method and example for a time-triggered CAN (TTCAN) system which reduces latency, variability in transmission frequency, and increases data throughput relative to the traditional free-for-all ... -
MUX/DEMUX OF HEVC/H.265 VIDEO STREAM WITH HE-AAC V2 AUDIO BIT STREAM AND TO ACHIEVE LIP SYNCH
(2016-08-10)The increasing demand for video and the increase in the number of devices enable of supporting digital media facilitate the enormous demand for video streaming over internet and and Internet Protocol Television (IPTV) ... -
ACTIVE FLYBACK BASED BATTERY MANAGEMENT SYSTEM WITH PROPORTIONAL BALANCING FOR USE IN AN ELECTRIC RACE CAR
(2016-08-08)Battery management systems are responsible for many tasks, most important of which is maintaining balance amongst the cells in a series string to prevent excess aging and unsafe operating conditions \cite{WhyBMS1}\cite{WhyBMS2}. ... -
SECOND ORDER ALGORITHM FOR SPARSELY CONNECTED NEURAL NETWORKS
(2016-08-17)A systematic two-step batch approach for constructing a sparse neural network is presented. Unlike other sparse neural networks, the proposed paradigm uses orthogonal least squares (OLS) to train the network. OLS based ...