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Title: PERFORMANCE ANALYSIS OF ENERGY HARVESTING IN WIRELESS NETWORKS USING STOCHASTIC GEOMETRY
Creator: Chen, Ziru
Date: 2017, 2017-07
Description: As the era of Internet of things (IoT) approaches, energy harvesting over radio frequency (RF) energy, has been proposed recently as a...
Show moreAs the era of Internet of things (IoT) approaches, energy harvesting over radio frequency (RF) energy, has been proposed recently as a promising solution to charge an ever increasing number of users for wireless communications. Exploiting the wireless signals in the surrounding environment coming from TV towers, Wi-Fi networks and cellular base stations (BSs), wireless devices such as wireless sensors scavenge ambient RF energy and operate self-sustainably without replacing or recharging their batteries. In this dissertation, the downlink performance of wireless networks with RF energy harvesting is investigated. We consider a large scale cellular network, where BSs and RF energy powered mobile users (MUs) are deployed as a homogeneous Poisson Point Process (HPPP) with different spatial densities. Downlink transmissions for multiple MUs associated with one BS are scheduled in a time division multiple access (TDMA) manner, which allows each MU to harvest the ambient RF energy from concurrent transmissions in other cells when it is not transmitting. Applying stochastic geometry, we develop an analytical model to investigate the energy harvesting performance of MUs and the throughput performance of the wireless network under different densities of BSs and MUs. The successful transmission probability of MUs, i.e., when an MU has charged enough energy for one transmission and the achieved signal to interference ratio is larger than a threshold, is derived. Based on the analysis, the conditions that MUs can be fully energy sustainable with RF charging are further quantified. Finally, the analytical results and the full sustainability conditions of the proposed network model have been verified by extensive simulations with Matlab.
M.S. in Electrical Engineering, July 2017
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Title: CLUSTERING ALGORITHM FOR MASS SPECTROMETRY DATA USING GENERAL-PURPOSE COMPUTING ON GRAPHICS PROCESSING UNITS
Creator: Ali, Ansab
Date: 2016, 2016-05
Description: Modern mass spectrometers can produce mass spectra data at a very high rate. Usually, this data has a signi cant percentage of redundant...
Show moreModern mass spectrometers can produce mass spectra data at a very high rate. Usually, this data has a signi cant percentage of redundant spectra that in- crease the database lookup time when searching for peptides. Therefore, there is a need for data-mining techniques (e.g. clustering) to reduce the complexity of these mass spectra datasets before database search. Multi-core architectures, speci cally Graphics Processing Units (GPUs) have evolved tremendously in the recent years and are an ideal option for clustering these large mass spectra datasets. In this thesis, we present an e cient and scalable parallel algorithm for clustering mass spectra using the well known 'F-set' similarity metric. We describe the algorithmic framework and the various optimizations that serve to vastly improve the algorithm's performance and accuracy. We test the algorithm on a variety of real as well as self-generated mass spectra datasets and show that the algorithm achieves highly accurate clustering with performance gain of around 50 to 100 times as compared to serial implementations in literature. Thus, by clustering mass spectra corresponding to unique peptides to- gether, the algorithm allows faster identi cation of peptides in a subsequent database search.
M.S. in Electrical Engineering, May 2016
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Title: CHIRPLET SIGNAL DECOMPOSITION AND PARAMETER ESTIMATION ALGORITHMS FOR ULTRASONIC SIGNAL ANALYSIS
Creator: Kasaeifard, Alireza
Date: 2012-12-03, 2012-12
Description: In ultrasonic imaging systems, shape, size and orientation of the reflectors and the physical properties of the propagation path govern the...
Show moreIn ultrasonic imaging systems, shape, size and orientation of the reflectors and the physical properties of the propagation path govern the patterns of backscattered echoes. However, the backscattered echoes often interfere with each other due to closed locations, orientations and size of reflectors and may be corrupted by noise. Hence, signal modeling and parameter estimation of the ultrasonic echoes are essential for image analysis, detection, classification and diagnosis. Certain important information like position, shape and size of the reflectors can be represented by chirplet signal parameters. Similarly, in other important application area of signal modeling such as radar, sonar and speech, chirplet signal parameters are also critical. The objective of this study is to analyze the pattern of ultrasonic echoes using chirplet signal decomposition and parameter estimation techniques. Signal processing method for decomposing multiple interfering ultrasonic echoes is a major and challenging problem. The chirplet signal decomposition algorithms designed and analyzed in this investigation are based on the Fractional Fourier Transform (FrFT) and elliptic template matching applied to time-frequency distributions of ultrasonic signals. This study has a broad range of applications of importance in signal detection, estimation, and pattern recognition. Fractional Fourier Transform based Chirplet Signal Decomposition (FrFT-CSD) algorithm is proposed to analyze ultrasonic signals for NDE applications. Particularly, this method is utilized to isolate dominant chirplet echoes for successive steps in signal decomposition and parameter estimation. FrFT rotates the signal with an optimal transform order. The search of optimal transform order is conducted by determining the highest kurtosis value of the signal in the transformed domain. A simulation study reveals xi the relationship among the kurtosis, the transform order of FrFT, and the chirp rate parameter in the simulated ultrasonic echoes. Benchmark and ultrasonic experimental data are used to evaluate the FrFT-CSD algorithm. Signal processing results show that FrFT-CSD not only reconstructs signal successfully, but also characterizes echoes and estimates echo parameters accurately. To accelerate echo estimation algorithm, we present a novel method for estimating the parameters of chirp echo by means of ellipse fitting in the Time-Frequency (TF) domain. Wigner-Ville Distribution (WVD) and Short-Time Fourier Transform (STFT) of chirplets are in the form of concentric ellipses in the TF plane. The elements of ellipse such as long axis, short axis and the slope of the ellipse correspond to the chirplet parameters and this can be used for parameter estimation. To demonstrate the parameter estimation performance of ellipse fitting method, the algorithm is used to decompose an ultrasonic experimental signal consisting of many interfering echoes acquired in nondestructive testing of a steel block. The comparison between the reconstructed signal and the experimental result shows that the decomposition has been successfully performed in the presence of measurement noise and interference from microstructure scattering echoes. The Ellipse Fitting Method (EFM) employs short-time Fourier transform as the main computational load of the algorithm that makes it a good candidate for real-time applications using FFT hardware accelerators. In this study we also present a Field-Programmable Gate-Array (FPGA) implementation that is able to perform chirplet signal decomposition using EFM. The EFM algorithm has been implemented as a system-on-chip consisting hardware architecture and software code on a Xilinx Virtex-5 FPGA. The xii designed hardware architecture is a combination of an embedded Microblaze processor, IP cores, communication buses, and I/Os. The software component represents a portion of the estimation algorithm that runs on the Microblaze processor. The EFM algorithm is used to decompose an ultrasonic experimental signal consisting of many interfering echoes.. The profiling analysis shows the major portion of the execution time (i.e., 94%) is for the FFT computations. By adding and interfacing the FFT IP-core accelerator to Microblaze, the estimation time for each chirp echo is reduced by 85% (i.e. from 550 ms to 82 ms). This reduction in echo estimation is highly desirable and makes the real-time parameteric signal analysis practical.
PH.D in Electrical Engineering, December 2012
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Title: AN INTEGRATED FRAMEWORK FOR OPIMIZING TRAVEL TIME FOR CARS IN SMART CITIES
Creator: Al Hassan, Reida
Date: 2015, 2015-12
Description: This thesis proposes three different approaches for optimizing the travel time of cars in large networks. Genetic Algorithm with the...
Show moreThis thesis proposes three different approaches for optimizing the travel time of cars in large networks. Genetic Algorithm with the integration of microscopic traffic simulation is employed to search for global solution for traffic signals settings. Shortest path algorithms are utilized to regulate the congestion level of the network. Large networks are partitioned into subnetworks to enable the optimization and simulation procedure. Several case studies are analyzed in this thesis to examine the efficiency of each approach and to observe the influence of different factors in the solution quality and computation time of the optimization process.
M.S. in Electrical Engineering, December 2015
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Title: Automobile headlight lenses
Creator: Epstein, Hirsch
Date: 2009, 1920
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/automobileheadli00epst
Thesis (B.S.)--Armour Institute of Technology; Bibliography: leaf 61

Title: REVIEW OF THE AC/DC MICROGRID OPERATION AND CONTROL
Creator: Bahramirad, Sheida
Date: 2016, 2016-07
Description: As defined by the U.S department of energy, a microgrid is a group of interconnected loads and distributed energy resources (DERs) with the...
Show moreAs defined by the U.S department of energy, a microgrid is a group of interconnected loads and distributed energy resources (DERs) with the ability of self-supply and islanding. The significant advantages of microgrids have resulted in extensive research and development efforts and rapidly growing implementation in electric power systems. There are, however, still many challenges to be addressed in order to efficiently design, control, and operate microgrids when connected to the grid, and also when in islanded mode. Based on the type of voltages and currents in the network, different microgrid types can be considered, including AC microgrids, DC microgrids, and Hybrid AC/DC microgrids. This thesis presents a review of AC, DC and Hybrid microgrids with a focus on control, operation, and planning issues. A thorough comparison between these microgrid types is further provided based on the system layout and the type of DERs that are commonly utilized. Communication issues are also investigated to demonstrate and compare the existing deployment practices. The thesis is concluded by providing a list of potential areas of research associated with AC, DC, and hybrid microgrids.
M.S. in Electrical Engineering, July 2016
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Title: CARRIER AGGREGATION BASED SCHEDULING FOR COORDINATED MULTIPOINT TRANSMISSION IN LTE ADVANCED SYSTEMS
Creator: Raj, Avneet
Date: 2012-04-04, 2012-05
Description: Long term Evolution Advanced(LTE-A) was introduced to eliminate the short comings of Long term Evolution(LTE).LTE uses orthogonal frequency...
Show moreLong term Evolution Advanced(LTE-A) was introduced to eliminate the short comings of Long term Evolution(LTE).LTE uses orthogonal frequency division multiplexing(OFDM) for its downlink transmission. But OFDM suffers from inter cell interference which means that cell edge suffer from a low throughput, hence LTE-A has come up with certain new techniques to solve this problem which are Carrier Aggregation(CA) and Coordinated multipoint transmission (CoMP).There are certain resource allocation techniques been currently used in CoMP which are either throughput based or fairness based .In my Thesis I have made a new resource allocation scheme which is throughput based and is aimed to provide the cell edge users with optimum data rate.To achieve this I have used soft frequency re-use pattern and to achieve higher throughput also used the CA technology. For simulation of the system I used Matlab,the simulation results show that the cell edge users in my scheme achieve higher Signal to noise ratio(SINR) optimum throughput. I have also compared my results with the existing joint proportional fairness scheme(JPF) and found that I achieve a higher overall throughput compared to the JPF scheme. viii
M.S. in Electrical Engineering, May 2012
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Title: A TASK-BASED APPROACH TO PARAMETRIC IMAGING WITH DYNAMIC CONTRAST-ENHANCED MRI
Creator: Haleem, Muhammad Salman
Date: 2011-07-28, 2011-07
Description: In this thesis, we propose a task-based approach to parametric imaging with dynamic image sequences and apply the proposed method to an...
Show moreIn this thesis, we propose a task-based approach to parametric imaging with dynamic image sequences and apply the proposed method to an example problem of prostate cancer segmentation with dynamic contrast enhanced Magnetic Resonance Imaging (DCE MRI). Traditionally, the time activity curve obtained from dynamic series of MR images is modeled without considering a specific task in order to obtain the kinetic parameters and to construct the parametric images. This mostly consists of estimating parameters based on minimizing the error between the model and measurement. Unfortunately, this method results in noisy images and performances of the task in hand e.g. tumor segmentation suffers. Therefore, we develop a new method for the estimation of kinetic parameters based on the maximization of tumor segmentation performance. The kinetic parameters are estimated with a weighted approach such that the performance of the particular task is maximized. The mathematical criterions used to quantify the performance are Fisher Ratio, Area Under the Curve (AUC) and the Dice Measure. The proposed method of parametric imaging is tested with the problem of prostate cancer localization with DCE MRI. We use Linear Discriminant Analysis (LDA) as a segmentation tool and use quantitative measures to compare segmentation results, such as Fisher Ratio, Dice Measure, Sensitivity, Specificity and Area Under the Curve (AUC). Our results show that the proposed method is able to improve the prostate cancer localization for certain patients.
M.S. in Electrical Engineering, July 2011
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Title: DESIGN AND IMPLEMENTATION OF A DIGITALLY CONTROLLED DC/DC RESONANT CONVERTER
Creator: Bender, Markus
Date: 2014, 2014-05
Description: Battery operated electronics with a controller are in need of very precise low voltage direct current [DC] supplies. Often times the supplies...
Show moreBattery operated electronics with a controller are in need of very precise low voltage direct current [DC] supplies. Often times the supplies are realized by a twofold supply. The first stage is called a pre-regulator and has two main tasks. The first one is to produce a stable pre-supply voltage and secondly they are asked to be very efficient as they usually see the biggest voltage difference to the input voltage. The industry is currently regulated to develop more efficient power supplies, which drives them to using resonant converters. The idea of the thesis is to develop a DC to DC resonance pre-converter. To determine the most suitable resonant converter several two-element resonant circuits are analyzed. The analysis includes equations and graphs of input impedance, output impedance, and the circuit’s gain. The design with the best results will then be used for realization. The realization starts with basic simulation profile setups in OrCAD Capture©. At this stage the basic performance of each sub-circuit is realized, before adjusted for the required performance. For controlling the output voltage, a logic level MOSFET driver was implemented to be driven by a microcontroller. The microcontroller allows flexibility when it comes to specific timing requirements on the input pulse generation. For this reason a differential amplifier had to be implemented which gives the controller the feedback from the rectified output voltage. To validate the proposed design it was realized on a manufactured PCB. Since the resonant tank components are crucial for the performance they were realized by hand wound inductor with litz wire, and ceramic capacitors. The controller was realized by a xv microcontroller evaluation board. The control software is based on an example of the processor manufacturer. The measurements are showing that the inverter switches are showing significant switching and conduction losses. The root cause of this behavior was identified to be fast switching causing a big power drop across the transistors for the switching losses. For the conduction losses one major item were found in the high current of the resonant tank causing a significant power drop on the switches. It causes a major power loss of the converter and lead to decreasing the intended output voltage to avoid thermal overstress of the converter. Because the resonant tanks input signal is close to the desired waveform, it was possible to verify the functionality of the main converter stages. The results are proposing to narrow the input voltage range and the load variation to keep the resonant converter operating in a more efficient way. This can be achieved by changing the switching scheme for low load scenarios. Also a transformer could be included to keep the resonant converter in a more efficient range. Both improvements are intended for the next steps. With the microcontroller software in place it is possible to control the converter very accurate. Also performing the necessary controller optimization measurements was conducted with low effort. Noise issues on output voltage measurement caused a limitation in the control parameters. Therefore the control loop was set to a very slow adjustment, to achieve a stable output voltage. This configuration is acceptable because a pre-regulator usually does not see large load variations. The second stage has to have a xvi fast response time as it needs to react to fast load transients and needs to provide a very stable and precise output voltage at the same time.
M.S. in Electrical Engineering, May 2014
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Title: 8,000 K.W. turbo-electric power station design
Creator: Mieczkowski, Thaddeus K, Seeberger, Harry F
Date: 2009, 1915
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/8000kwturboelect00miec
Thesis (B.S.)--Armour Institute of Technology; Bibliography: leaf 41 Includes folded...
Show morehttp://www.archive.org/details/8000kwturboelect00miec
Thesis (B.S.)--Armour Institute of Technology; Bibliography: leaf 41 Includes folded leaves in back pocket
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Title: APPLICATION OF STOCHASTIC PROGRAMMING IN SCUC
Creator: Hu, Bingqian
Date: 2012-05-04, 2012-05
Description: This thesis presents a scenario-reduction technique to solve stochastic security- constrained unit commitment (Stochastic SCUC) problems. The...
Show moreThis thesis presents a scenario-reduction technique to solve stochastic security- constrained unit commitment (Stochastic SCUC) problems. The uncertainty of wind power generation is simulated by the Monte Carlo (MC) method. The Stochastic SCUC problem is formulated as a mixed-integer linear programming (MIP) problem and the large-scale optimization problem is decomposed into one master problem and several tractable subproblems for each scenario. Computational burdens for solving scenarios-based Stochastic SCUC are mainly depend on the number of scenarios and a scenario-reduction technique is applied to reduce the computation burdens. The numerical results of a 6-bus system show the effectiveness of the Scenarios-Reduction Techniques for solving the Stochastic SCUC problem. Index Terms—Power System Operation, Stochastic Programming, Stochastic SCUC, Monte Carlo Stimulation, Scenarios Reduction.
M.S. in Electrical Engineering, May 2012
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Title: AN ITERATIVE APPROACH TO COMBINED IMAGE REGISTRATION AND SEGMENTATION WITH APPLICATIONS TO PROSTATE CANCER IMAGING
Creator: Bukowy, John
Date: 2012-04-19, 2012-05
Description: Machine learning techniques have shown to be a viable means of analyzing medical images for tumor segmentation. Implementation of classi ers...
Show moreMachine learning techniques have shown to be a viable means of analyzing medical images for tumor segmentation. Implementation of classi ers used for tu- mor segmentation requires training data constructed from known data sets. In most applications, obtaining the training dataset requires image registration. This thesis proposes a new combined image registration-segmentation framework to be applied to prostate tumor segmentation in MR images in the future. In order to construct training sets, known pathology from histological slides must be transferred to the MR images. Both manual and automated registration techniques have been previ- ously developed to accomplish this information transfer. Automated methods provide a reproducible, measurable result; however there is still room for improvement. The focus of this thesis is on improvement of the accuracy of the training data set through an iterative approach combining automated registration and segmenta- tion. The performance of the automated method of registration improves with an increase in the number of landmarks for matching. These extra landmarks used for registration are obtained from tumor segmentation; hence the name iterative segmentation-registration. This improvement leads to more accurate data transfer between histology and MR images and hence more accurate training data. Through numerical simulations, we show that by increasing the number of landmarks, using not only anatomical features but obtained segmentation results, the quality of the train- ing data can be improved. The proposed method results in a measurable increase in registration performance which leads to improved training data and consequently improved tumor segmentation performance.
M.S. in Electrical Engineering, May 2012
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Title: RECONFIGURABLE ULTRASONIC SIGNAL PROCESSING SYSTEM SOLUTION BASED ON ZYNQ PLATFORM
Creator: Wang, Boyang
Date: 2015, 2015-05
Description: Ultrasonic systems are widely used in industrial and medical diagnostics ap- plications. However, an ultrasonic system has very strict...
Show moreUltrasonic systems are widely used in industrial and medical diagnostics ap- plications. However, an ultrasonic system has very strict requirements on signal capturing and processing speed because of the high frequency of the target signal. The objective of this thesis was to design an ultrasonic system including signal capturing and processing on Zynq System-On-Chip (SoC). Zynq SoC is a new technology from Xilinx which integrates both dual core ARM processors and FPGA on the same chip. This not only allows for hardware and software co-design, but also enables the I/O extensions on Zynq from FPGA. An Analog Front End (AFE) is used to gener- ate, transmit, receive, and amplify the ultrasonic signal. The AFE is controlled by a Zynq processor via Serial Peripheral Interface (SPI) and several separate control lines from General Purpose I/O(GPIO). A high speed Analog to Digital Converter (ADC) is used in the system to capture the high speed ultrasonic echo received by AFE. The ADC which is controlled through SPI, communicates with the Zynq processor by Direct Memory Access (DMA). Besides hardware platform con guration, Discrete Wavelet Transform (DWT) based compression algorithm was implemented and optimized using different methods in order to find out the best solution for realizing on the Zynq SoC. Initially, MATLAB was used to explore and verify the algorithm. Then the algorithm was implemented in hardware using VHDL language, and in soft-ware using C++. Furthermore, the compression algorithm was implemented in Open Computer Language (OpenCL) using hardware and software co-design method.
M.S. in Electrical Engineering, May 2015
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Title: Comparative test of integrating wattmeters
Creator: Anderson, M. J.
Date: 2009, 1908
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/comparativetesto00ande
Thesis (B.S.)--Armour Institute of Technology

Title: Proposed hydro-electric power development on the Tallapoosa River in Alabama
Creator: Langstaff, H. A., Whitaker, D. A, Ross, R. R
Date: 2009, 1912
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/proposedhydroele00lang
Thesis (B.S.)--Armour Institute of Technology, 1912 Bibliography: leaf 2 B.S. in...
Show morehttp://www.archive.org/details/proposedhydroele00lang
Thesis (B.S.)--Armour Institute of Technology, 1912 Bibliography: leaf 2 B.S. in Electrical Engineering, 1912
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Title: ADVANCED CIRCUIT TECHNICS FOR LOW POWER IN EMERGING TECHNOLOGIES
Creator: Wang, Junchao
Date: 2015, 2015-05
Description: In last 50 years, the feature size of fabrication process for integrated circuits has continuously emerged which proved Moore’s Law that the...
Show moreIn last 50 years, the feature size of fabrication process for integrated circuits has continuously emerged which proved Moore’s Law that the feature size will decrease in half every 18 months. However, in recent years, the problems caused by highly emerged CMOS devices such as large leakage current, high temperature when operating and high energy consumption became a huge barrier to impede the development of integrated circuits. In 1998, CNFET has been proposed, its great electrical characteristic has attracted a lot of attention and it is the best potential device to replace traditional CMOS devices. Meanwhile, in theoretical area, reversible computing has been proposed to solve the energy dissipation caused by irreversible computing in the system. According to Landauer’s Principle, the power consumption can infinitely approach zero when the circuit is designed based on reversible logic. In this thesis, the author proposed a novel CNFET-based ternary inverter with better performance compared to exist inverters. Also, a Carry Select Adder with improved architecture designed by reversible logic is proposed.
M.S. in Electrical Engineering, May 2015
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Title: A NOVEL SWITCHED RELUCTANCE MOTOR BASED PROPULSION DRIVE FOR ELECTRIC AND PLUG-IN HYBRID ELECTRIC VEHICLES
Creator: Bilgin, Berker
Date: 2011-07, 2011-07
Description: Hybrid and Plug-in hybrid electric vehicles (HEVs and PHEVs) have received increasing attention from the automotive industry over the recent...
Show moreHybrid and Plug-in hybrid electric vehicles (HEVs and PHEVs) have received increasing attention from the automotive industry over the recent years. They are typically more efficient and they produce lower emissions than similar ICE-based vehicles, which significantly reduces their negative impact on the environment. In this study, design considerations of two fundamental parts of plug-in vehicles, traction motor and battery charger circuit, have been investigated toward the drivetrain applications in a solar assisted plug-in electric auto rickshaw. Switched reluctance motors (SRM) have been seen as potential candidates for propulsion systems over the last few years. They are robust, capable of performance in harsh operating conditions and have a wide speed range. Conventional SRM configurations have a higher number of stator poles than rotor poles. This PhD. dissertation presents the advantages of a novel SRM configuration with the number of rotor poles greater than number of stator poles and investigates the challenges in its design. Practical design considerations have been proposed and by using them a 3 phase 5 hp 6/10 SRM is designed, constructed and tested. A PHEV is a series or parallel hybrid electric vehicle equipped with a high energy density battery to extend the mileage and get better fuel efficiency. Since the capacity of the battery is higher than the sum of the energy that can be supplied by the internal combustion engine and regained from the regenerative braking, external charging from the grid is necessary. This research also investigates the requirements of the battery charger circuit and proposes low cost topology composed of a PWM boost rectifier cascaded with a bidirectional DC/DC converter. Operation of the circuit has been x xvii analyzed by deriving its mathematical model. Feedback controller requirements to control the input and output current and DC bus voltage have been studied. Critical issues to be considered in parameter selection of the voltage and current controller are explained in terms of universal input operation. In order to verify the analysis presented, an experimental hardware setup has been built and tested.
Ph.D. in Electrical Engineering, July 2011
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Title: APPLICATION OF MACHINE LEARNING TO ELECTRICAL DATA ANALYSIS
Creator: Bao, Zhen
Date: 2017, 2017-05
Description: The dissertation is composed of four parts: modeling demand response capability by internet data centers processing batch computing jobs,...
Show moreThe dissertation is composed of four parts: modeling demand response capability by internet data centers processing batch computing jobs, cloud storage based power consumption management in internet data center, identifying hot socket problem in smart meters, and online event detection for non-intrusive load monitoring without knowing label. Mathematical models are constructed to fulfill the research of the four targets, and numerical examples are used to test the effectiveness of the models. The first two parts optimize jobs in Data Center in order to find the best way of utilizing the existing computing resources and storage. Mixed-integer programming (MIP) is used in the formulation. The purpose of the third part is to identify the hot socket problem in smart meter. Machine learning method has been used to locate the bad installation of smart meters by analyzing historical data from smart meters. The fourth part is non-intrusive load monitoring for residential load in houses. Signal processing and deep learning methods are used to identify the specific loads from high frequency signals.
Ph.D. in Electrical Engineering, May 2017
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Title: The alternating current circuit with pulsating characteristics
Creator: Nichols, Harold W.
Date: 2009, 1911
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/alternatingcurre00nich
Thesis (B.S.)--Armour Institute of Technology

Title: AN IMPROVED BACKGROUND SUBTRACTION ALGORITHM FOR INTELLIGENT VIDEO SURVEILLANCE
Creator: Xia, Zhengyu
Date: 2013, 2013-07
Description: This thesis briefly introduces background subtraction which is one of the current advanced techniques for intelligent video surveillance. The...
Show moreThis thesis briefly introduces background subtraction which is one of the current advanced techniques for intelligent video surveillance. The paper also presents an improved background subtraction technique for motion detection in the area of intelligent video surveillance. The proposed technique is difference from the state-of-the-art background subtraction algorithms such as Gaussian Mixture Models or Behavior Subtraction, etc. The idea of this enhanced background subtraction is inspired by the ViBe algorithm. In the first step, which is the initialization of background subtraction, it takes samples only in its current location and 3x3 neighborhoods for each pixel. Then compare each pixel with the sampling set to determine whether this pixel belongs to background models or foreground objects. The next step is to update the sampling sets so that the algorithm can adapt to different scenarios. The final procedure is the post-processing method, which has better performance to overcome difficulties. This approach differs from those based upon the classical belief that the samples set of current pixels should be collected according to certain mathematic models. Experimental results of the proposed algorithm are better than earlier techniques that use the ViBe algorithm. Keywords: Background subtraction, computer vision, motion detection, real-time systems, intelligent video surveillance.
M.S. in Electrical Engineering, July 2013
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