Electrical and Computer Engineering Commons^™

Intelligent Maximum Power Extraction Control For Wind Energy Conversion Systems Based On Online Q-Learning With Function Approximation, Chun Wei, Zhe Zhang, Wei Qiao, Liyan Qu

Department of Electrical and Computer Engineering: Faculty Publications

This paper proposes an intelligent maximum power point tracking (MPPT) algorithm for variable-speed wind energy conversion systems (WECSs) based on an online Q-learning algorithm. Instead of using the conventional Qlearning that uses a lookup table to store the action values for the discretized states, artificial neural networks (ANNs) are used as function approximators to output the action values by using the electrical power and rotor speed of the generator as inputs. This eliminates the need for a large storage memory. The proposed method learns the optimal speed control strategy of the WECS by updating the connecting weights of the ANNs, …

Effects Of Droplet Diameter On The Leidenfrost Temperature Of Laser Processed Multiscale Structured Surfaces, Anton Hassebrook, Corey Kruse, Chris Wilson, Troy P. Anderson, Craig Zuhlke, Dennis R. Alexander, George Gogos, Sidy Ndao

Department of Electrical and Computer Engineering: Faculty Publications

In this paper, an experimental investigation of the effects of droplet diameters on the Leidenfrost temperature and its shifts has been carried out. Tests were conducted on a 304 stainless steel polished surface and a stainless steel surface which was processed by a femtosecond laser to form Above Surface Growth (ASG) nano/microstructures. To determine the Leidenfrost temperatures, the droplet lifetime method was employed for both the polished and processed surfaces. A precision dropper was used to vary the size of droplets from 1.5 to 4 millimeters. The Leidenfrost temperature was shown to display shifts as high as 85 ˚C on …

Optimum Renewable Generation Capacities In A Microgrid Using Generation Adequacy Study, Salman Kahrobaee, Sohrab Asgarpoor, Milad Kahrobaee

Department of Electrical and Computer Engineering: Faculty Publications

Microgrids, as small power systems, may be comprised of different types of loads and distributed generation. As the integration of renewable power generation increases, the total available generation capacity of the system will be more derated due to the effect of equipment failures and the intermittent nature of these resources. Therefore, it is critical to determine optimum renewable generation capacities and provide enough reserve margin to meet the target reliability of the microgrid. In this paper, we first model a microgrid, including conventional and renewable distributed generation and the loads. Second, we determine the renewable generation capacity required to meet …

State Of Charge Estimation Based On A Realtime Battery Model And Iterative Smooth Variable Structure Filter, Taesic Kim, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

This paper proposes a novel real-time model-based state of charge (SOC) estimation method for lithium-ion batteries. The proposed method includes: 1) an electrical circuit battery model incorporating the hysteresis effect, 2) a fast upper-triangular and D-diagonal recursive least square (FUDRLS)-based online parameter identification algorithm for the electrical battery model, and 3) an iterated smooth variable structure filter (ISVSF) for SOC estimation. The proposed method enables an accurate and robust condition monitoring for lithium-ion batteries. Due to its low complexity, the proposed method is suitable for the real-time embedded battery management system (BMS) application. Simulation and experiment are performed to validate …

Design And Implementation Of A Low-Cost Embedded Linux Gateway For Smart Home Health Monitoring, Mateusz Mittek, Jay D. Carlson, Lance C. Pérez

Department of Electrical and Computer Engineering: Faculty Publications

Many wireless sensor network applications require a gateway device to interface with services running on the Internet. Because of the software complexity involved in this device, it is often realized using a real-time operating system running on an application processor. Most systems burden the user with developing the protocol handling and device configuration and management inside the application. In this paper, we present the Angelos Gateway – a turnkey, low-cost, Linux-powered WSN gateway that provides a socket-based environment for rapid network-enabled application development. Experimental results demonstrate that the proposed device is capable of high-throughput packet I/O, confirming the efficacy of …

Automated Indoor Rfid Inventorying Using A Self-Guided Micro-Aerial Vehicle, Steven A. Parkison, Eric T. Psota, Lance C. Pérez

Department of Electrical and Computer Engineering: Faculty Publications

A Micro-Aerial Vehicle (MAV) system is presented for automated indoor inventorying using passive radio frequency identification (RFID). This system utilizes a combination of onboard sensing and processing in order to achieve flight stabilization, generate floor maps, and perform path planning. The proposed state estimation method along with a control feedback strategy are demonstrated to be sufficiently accurate for operation in the indoor environment and the proposed path planning technique is shown to be effective for guiding the MAV while it performs automated RFID scanning.

Achieving Robustness And Capacity Gains In Covert Timing Channels, Fahimeh Rezaei, Michael Hempel, Pradhumna Lal Shrestha, Hamid Sharif

Department of Electrical and Computer Engineering: Faculty Publications

In this paper, we introduce a covert timing channel (CTC) algorithm and compare it to one of the most prevailing CTC algorithms, originally proposed by Cabuk et al. CTC is a form of covert channels – methods that exploit network activities to transmit secret data over packet-based networks – by modifying packet timing. This algorithm is a seminal work, one of the most widely cited CTCs, and the foundation for many CTC research activities. In order to overcome some of the disadvantages of this algorithm we introduce a covert timing channel technique that leverages timeout thresholds. The proposed algorithm is …

Monitoring Igbt’S Health Condition Via Junction Temperature Variations, Bo Tian, Wei Qiao, Ze Wang, Tanya Gachovska, Jerry L. Hudgins

Department of Electrical and Computer Engineering: Faculty Publications

Insulated gate bipolar transistor (IGBT) failures are a major issue in modern power electronics applications. Two most dominated failure mechanisms of IGBTs are solder fatigue and bond wire wear-out. This paper proposes a new method to online monitor an IGBT’s health condition by using the instantaneous junction temperature variation between present and the first operating cycles of the IGBT with the same operating current. In this work, the instantaneous junction temperature of an IGBT is estimated from a thermal network model. The proposed method is validated by experimental results obtained from accelerated aging tests for IGBTs.

2014 Acuta/Nacubo/Acuho-1 State Of Resnet Report

ACUTA: Other Publications

In This Issue

Introduction

Methodology

Executive Summary

Findings

Bandwidth Management

Wireless Coverage

ResNet Management & Support

Planning & Measurement

Costs & Funding

Outsourcing

High Speed Real-Time Embedded System For Pavement Texture Measurements, Sachin Jayaram

Electrical Engineering Theses - Archive

The Texas Department of Transportation (TxDOT) collects road profile data from the state highway network and processes the same in order to determine the various anomalies on the road surface. These factors can adversely affect the characteristics and performance of the vehicle such as skid, fuel consumption, ride comfort, safety and tire wear. The International Roughness Index (IRI) and Mean Profile Depth (MPD) are the statistics used for quantifying ride and texture. Pavement texture is of particular importance as it can affect skidding in wet weather conditions. This thesis mainly focuses on the development and implementation of a real-time embedded …

Application Of Openmp In Complexity Reduction Of Inter Frame Coding In Hevc, Karthik Suresh

Electrical Engineering Theses - Archive

The International Telecommunication Union (ITU-T), Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG) standardization organizations working in a partnership known as the Joint Collaborative Team on Video Coding (JCT-VC) came up with the latest video project known as the High Efficiency Video Coding (HEVC) standard. This standard, also known as the H.265 standard, is based on the same architecture as that of the more widely implemented H.264/AVC (Advance Video Coding). The HEVC has incorporated many improvements like increased bitrate reduction, increased coding efficiency [7] and compression efficiency, but, at the cost of increased complexity. The …

Physical Human Robot Interaction Using Model Reference Neuroadaptive Control, Shaikh Md Rubayiat Tousif

Electrical Engineering Theses - Archive

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 Neuroadaptive controller is designed based on existing technology of Lewis et al. Adaptive impedance control is an important method for force/motion control of robotic systems. Most of the work in adaptive impedance control makes the error dynamics of the system to look like a prescribed model. By contrast, this work does not want the error dynamics to be prescribed as an impedance model. It makes the …

Gpio Design, Layout, Simulation And Esd Clamp Placement Calculator, Shiju Abraham

Electrical Engineering Theses - Archive

Input/Output (IO) circuits enable interface between logic circuitry and the actual or raw information to be processed. They also help to isolate the integrated circuit from the unsafe, unknown and noisy environment. IOs come in many flavors and the General Purpose IO (GPIO) is one among them. GPIOs can operate as an input, output or a bi-directional circuit. The purpose of this work is to design an area optimized industrial quality bi-directional GPIO with separate enable signal for transmitter and receiver which can drive a current of at least 16 mA into the PAD (the circuit point where the capacitive …

Multiplexing And Demultiplexing Hevc Video And Aac Audio And Achieving Lip Synchronization During Playback, Mrudula Balmohan Warrier

Electrical Engineering Theses - Archive

High efficiency video coding (HEVC) /H.265 , is the latest digital video coding standard which has proven to be superior to earlier standards in terms of compression ratio, quality and error resilience. In order for the end user to understand the video meaningfully, there should be an associated audio with it. Any video is incomplete without a proper audio. Advanced audio coding (AAC) is the digital audio codec standard defined in MPEG-2 and later in MPEG-4 with few changes. The audio quality of an AAC stream is widely used as the audio coding standard in various applications. It would be …

The Evaluation Of Rf Channel Impairments And Co-Channel Interfrence Over Rician Fading Channel, Zhaoheng Luo

Electrical Engineering Theses - Archive

The mobile network system has evolved into its 4th generation and the demand of faster data rate, higher network coverage and reliable communication has never stop. In order to have more bandwidth and reduce power consumption, more and more new transmitting and receiving devices has been developed to achieve the goal. However, during this evolution, the performance of the system is suffering from effects by the radio-frequency (RF) circuit design, which produces DC offset, in-phase and quadrature (IQ) imbalance and phase noise. Also, in cellular mobile communication system, signals from different sources can be using the same frequency spectrum, and …

Computational Multimedia For Video Self Modeling, Ju Shen

Theses and Dissertations--Computer Science

Video self modeling (VSM) is a behavioral intervention technique in which a learner models a target behavior by watching a video of oneself. This is the idea behind the psychological theory of self-efficacy - you can learn or model to perform certain tasks because you see yourself doing it, which provides the most ideal form of behavior modeling. The effectiveness of VSM has been demonstrated for many different types of disabilities and behavioral problems ranging from stuttering, inappropriate social behaviors, autism, selective mutism to sports training. However, there is an inherent difficulty associated with the production of VSM material. Prolonged …

File Detection On Network Traffic Using Approximate Matching, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

In recent years, Internet technologies changed enormously and allow faster Internet connections, higher data rates and mobile usage. Hence, it is possible to send huge amounts of data / files easily which is often used by insiders or attackers to steal intellectual property. As a consequence, data leakage prevention systems (DLPS) have been developed which analyze network traffic and alert in case of a data leak. Although the overall concepts of the detection techniques are known, the systems are mostly closed and commercial. Within this paper we present a new technique for network traffic analysis based on approximate matching (a.k.a …

An Efficient Similarity Digests Database Lookup -- A Logarithmic Divide And Conquer Approach, Frank Breitinger, Christian Rathgeb, Harald Baier

Electrical & Computer Engineering and Computer Science Faculty Publications

Investigating seized devices within digital forensics represents a challenging task due to the increasing amount of data. Common procedures utilize automated file identification, which reduces the amount of data an investigator has to examine manually. In the past years the research field of approximate matching arises to detect similar data. However, if n denotes the number of similarity digests in a database, then the lookup for a single similarity digest is of complexity of O(n). This paper presents a concept to extend existing approximate matching algorithms, which reduces the lookup complexity from O(n) to O(log(n)). Our proposed approach is based …

Double-Electrode Arc Welding Process: Principle, Variants, Control And Developments, Yi Lu, Shujun Chen, Yu Shi, Xiangrong Li, Jinsong Chen, Lee Kvidahl, Yu Ming Zhang

Electrical and Computer Engineering Faculty Publications

Double-electrode gas metal arc welding (DE-GMAW) is a novel welding process in which a second electrode, non-consumable or consumable, is added to bypass part of the wire current. The bypass current reduces the heat input in non-consumable DE-GMAW or increases the deposition rate in consumable DE-GMAW. The fixed correlation of the heat input with the deposition in conventional GMAW and its variants is thus changed and becomes controllable. At the University of Kentucky, DE-GMAW has been tested/developed by adding a plasma arc welding torch, a GTAW (gas tungsten arc welding) torch, a pair of GTAW torches, and a GMAW torch. …

Analysis And Modeling Of Resilience For Networked Systems, Kamlesh Ashok Joshi

Masters Theses

"A cyber physical system (CPS) has two main subsystems; a physical infrastructure that is responsible for managing and implementing physical tasks, e.g., generation and distribution of a physical commodity, and a cyber infrastructure that is used to support and enhance these physical operations through computing, communication, and control. Imperfect cyber control can lower the efficacy and even reliability of existing physical infrastructures. As such, justifiable reliance on CPSs requires rigorous investigation of the effect of incorporating cyber infrastructure on functional and non-functional aspects of system performance. One non-functional metric of note is resilience, defined as the ability of a system …

Fair And Optimal Resource Allocation In Wireless Sensor Networks, Vinodhini Ravikumar

Masters Theses

"There is a large amount of research in wireless networks focuses on optimization of either network routing and power control alone. In contrast, this work aims at jointly optimizing the transmission power and routing path selection in order to optimize allocation of resources in interference constrained wireless environment. Moreover, we consider a multipath routing where multiple alternative paths are employed to transmit data between the end nodes. One of modern communication techniques that it applies to a network coding, though not explicitly implemented in this work. The proposed approach is first analyzed theoretically using Lagrangian optimization for a three-node scenario. …

A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic

Computer Science Faculty Publications and Presentations

Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir. A readout layer is then trained to reconstruct a target output from the reservoir's state. The multitude of RC architectures and evaluation metrics poses a challenge to both practitioners and theorists who study the task-solving performance and computational power of RC. In addition, in contrast to traditional computation models, the reservoir is a dynamical system in which computation and memory are inseparable, and therefore hard to analyze. Here, we compare …

Rt-Dsp Using ”See Through”, Cameron H. G. Wright, Thad B. Welch, Michael G. Morrow

Electrical and Computer Engineering Faculty Publications and Presentations

Engineering educators teaching digital signal processing (DSP) have found that using hands-on exercises for students can smooth the transition from theory to practical real-time DSP. However, before significant learning can begin using such exercises, students must build their confidence in the hardware and software platforms. When using audio signals, a “talk-through” project accomplishes this. For introducing more complicated signals such as video, the authors propose the use of a “see-through” project. This paper provides a description of a see-through project on a high-performance real-time DSP platform, discusses how such a project can lead to better follow-on learning using more advanced …

A Low-Cost Wireless Portable Particulate Matter Monitoring System, Sin Ming Loo, James A. Hall, Joshua Kiepert, Michael Pook, Nicholas Terrell

Electrical and Computer Engineering Faculty Publications and Presentations

This paper describes a portable sensor system design for environmental research. The designed system has been deployed in many environments and has been EMI/EMC approved for operation in commercial aircraft cabins. The sensor suite includes particulate matter, CO, CO2, temperature, humidity, pressure, light intensity, and sound sensors. Multiple sensor systems can be deployed at once to form a wireless sensor network. Each sensor node is powered either with six AA batteries or via a transformer and standard outlet. The data collected by a node can be stored locally on the device and/or sent through the integrated ZigBee mesh network to …

Timing And Carrier Synchronization With Channel Estimation In Af Two-Way Relaying Networks, Ali A. Nasir, Hani Mehrpouyan, Salman Durrani, Steven D. Bolstein, Rodney A. Kennedy

Electrical and Computer Engineering Faculty Publications and Presentations

Two-way relaying networks (TWRNs) allow for more bandwidth efficient use of the available spectrum since they allow for simultaneous information exchange between two users with the assistance of an intermediate relay node. However, due to superposition of signals at the relay node, the received signal at the user terminals is affected by multiple impairments, i.e., channel gains, timing offsets, and carrier frequency offsets, that need to be jointly estimated and compensated. This paper presents the system model for amplify-and-forward (AF) TWRNs in the presence of multiple impairments and proposes least squares and differential evolution based algorithms for joint estimation …

Hidden Markov Model With Information Criteria Clustering And Extreme Learning Machine Regression For Wind Forecasting, Dao Lam, Shuhui Li, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a procedural pipeline for wind forecasting based on clustering and regression. First, the data are clustered into groups sharing similar dynamic properties. Then, data in the same cluster are used to train the neural network that predicts wind speed. For clustering, a hidden Markov model (HMM) and the modified Bayesian information criteria (BIC) are incorporated in a new method of clustering time series data. to forecast wind, a new method for wind time series data forecasting is developed based on the extreme learning machine (ELM). the clustering results improve the accuracy of the proposed method of wind …

Unveiling Magnetic Dipole Radiation In Phase-Reversal Leaky-Wave Antennas, Shulabh Gupta, Li (Lijun) Jun Jiang, Christophe Caloz

Electrical and Computer Engineering Faculty Research & Creative Works

The radiation principle of traveling-wave-type phase-reversal antennas is explained in detail, unveiling the presence of magnetic-dipole radiation in addition to well-known electric dipole radiation. It is pointed out that such magnetic-dipole radiation is specific to the case of traveling-wave phase-reversal antennas, whereas only electric-dipole radiation exists in resonant-type phase-reversal antennas. It is shown that a phase-reversal traveling-wave antenna alternately operates as an array of magnetic dipoles and an array of electric dipoles during a time-harmonic period. This radiation mechanism is confirmed through both full-wave and experimental results. © 2014 IEEE.

A Fault Prediction Scheme For Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables And Disturbance, Balaje T. Thumati, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

As explained in the literature, it is very hard to measure premise variables of a Takagi-Sugeno (TS) fuzzy system. Therefore, in this paper, a fault detection and prediction (FDP) scheme is designed for a class of TS fuzzy systems with immeasurable (unknown) premise variables and external disturbances. A fault detection (FD) observer is designed to approximate the system output and the premise variables. Subsequently, a FD residual is generated by comparing the observer output with respect to the system output. The FD residual is evaluated to detect any faults in the system. Further, time-to-failure (TTF) of the TS fuzzy system …

Indoor Positioning System Using Geo-Magnetic Field, Abhinav Saxena, Maciej Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper we address the problem of non-Adversarial co-operative localization using the Earth's ambient magnetic field. We demonstrate the feasibility of using magnetic field to perform localization and tracking. A three-Axis magnetic field sensor is employed to locate and track a target. The algorithm estimates the position using the magnitude of the current magnetic field readings. Our technique depends on the local distortions in the Earth's magnetic field created by presence of various magnetic or metallic objects in the local workspace. These objects may be manmade or naturally occurring. The magnetic field data corresponding to known locations is stored …

Localization And Tracking Of Objects Using Cross-Correlation Of Shadow Fading Noise, M. R. Basheer, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Multipath and shadow fading are the primary cause for positioning errors in a Received Signal Strength Indicator (RSSI) based localization scheme. While fading, in general, is detrimental to localization accuracy, cross-correlation and divergence properties of shadow fading residuals may be utilized to improve localization and tracking accuracy of mobile IEEE 802.15.4 transmitters. Therefore, this paper begins by presenting a stochastic filter that models the fast-changing multipath fading as a mean reverting Ornstein-Uhlenbeck (OU) process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering to isolate the slow changing shadow fading residuals from measured RSSI values. Subsequently, a novel wireless …