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Title: Electro magnets as applied to motor control
Creator: Whitmore, Ray, Whitmore, Robert W.
Date: 2009, 1917
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/electromagnetsas00whit
Thesis (B.S.)--Armour Institute of Technology

Title: Electrification work of the Chicago, Milwaukee & St. Paul railway from Harlowtown, Montana to Avery, Idaho
Creator: Curtis, Marston
Date: 2009, 1916
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/electrificationw00curt
Thesis (B.S.)--Armour Institute of Technology, 1916 B.S. in Electrical Engineering, 1916

Title: Forces set up in a conductor by a current pinch effect
Creator: Mastro-valerio, Giuseppe
Date: 2009, 1909
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/forcessetupincon00mast
Thesis (B.S.)--Armour Institute of Technology

Title: EMBEDDED SYSTEM DESIGN FOR TRAFFIC SIGN RECOGNITION USING MACHINE LEARNING ALGORITHMS
Creator: Han, Yan
Date: 2016, 2016-12
Description: Traffic sign recognition system, taken as an important component of an intelligent vehicle system, has been an active research area and it has...
Show moreTraffic sign recognition system, taken as an important component of an intelligent vehicle system, has been an active research area and it has been investigated vigorously in the last decade. It is an important step for introducing intelligent vehicles into the current road transportation systems. Based on image processing and machine learning technologies, TSR systems are being developed cautiously by many manufacturers and have been set up on vehicles as part of a driving assistant system in recent years. Traffic signs are designed and placed in locations to be easily identified from its surroundings by human eyes. Hence, an intelligent system that can identify these signs as good as a human, needs to address a lot of challenges. Here, ―good‖ can be interpreted as accurate and fast. Therefore, developing a reliable, real-time and robust TSR system is the main motivation for this dissertation. Multiple TSR system approaches based on computer vision and machine learning technologies are introduced and they are implemented on different hardware platforms. Proposed TSR algorithms are comprised of two parts: sign detection based on color and shape analysis and sign classification based on machine learning technologies including nearest neighbor search, support vector machine and deep neural networks. Target hardware platforms include Xilinx ZedBoard FPGA and NVIDIA Jetson TX1 that provides GPU acceleration. Overall, based on a well-known benchmark suite, 96% detection accuracy is achieved while executing at 1.6 frames per seconds on the GPU board.
Ph.D. in Computer Engineering, December 2016
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Title: POWER GRID VERIFICATION ON CLOUD
Creator: Gupte, Naval
Date: 2016, 2016-05
Description: Reliability and performance of modern ICs is becoming increasingly susceptible to supply voltage variations. Increased demand for low voltage...
Show moreReliability and performance of modern ICs is becoming increasingly susceptible to supply voltage variations. Increased demand for low voltage integrated circuits has made power grid analysis extremely critical and indispensable in modern design flows. Efficient validation of on-chip power distribution network is computationally demanding because of increasing grid sizes. Power grid simulation is critical for analysis and verification of power supply noises for robust and reliable IC designs. Computational demands to simulate power grids for ICs with increasing complexity is never-ending. Cloud computing platforms can be leveraged to mitigate costs associated with making these resources available. However, since simulation data usually contains sensitive design information, simulating on third-party platforms lead to major security concerns. In this study, we propose a framework for secure power grid simulation on Cloud. A transformation algorithm to hide current excitations is presented, while still allowing a majority of computations to be completed on Cloud. We employ multiple compression strategies to significantly reduce communication and storage overheads. Experiments show that our framework can achieve similar turn-around time as an insecure simulator on Cloud, while securing current excitations and output voltage vectors with reasonable communication and computational overheads. Vectorless technique to grid verification estimates worst-case voltage noises without detailed enumeration of load current excitations. We study voltage noise assessment in RLC models of VDD and GND networks in integrated power grids. Abstract grid model is utilized to abbreviate runtime, while transient constraints capture transitory circuit behaviour. Heuristics are employed to extract constraints that restrict power consumption profiles to realistic scenarios. Multiple linear programming problems are formulated to evaluate bounds on voltage overshoots and undershoots. We propose ways to mitigate storage and computational requirements on processing resources, enabling users to deploy computations on economical Cloud Computing platforms. Recommended solution is parallelizable, thereby reducing the overall verification time. Data compression is applied to fully exploit the compute capabilities of contemporary processors for higher throughputs. Experimental results suggest that the proposed technique is practical and scalable for industrial grids.
Ph.D. in Electrical Engineering, May 2016
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Title: COMPUTER AIDED DIAGNOSIS IN MAMMOGRAPHY WITH CONTENT-BASED IMAGE RETRIEVAL
Creator: Jing, Hao
Date: 2011-11, 2011-12
Description: Computer-aided diagnosis (CAD) for breast cancer, a common form of cancer in women, has been an active research area. This work aims to...
Show moreComputer-aided diagnosis (CAD) for breast cancer, a common form of cancer in women, has been an active research area. This work aims to investigate and develop CAD techniques for clustered microcalcifications (MCCs), which can be an important early sign of breast cancer. The contributions of this work include development of a database of cancer cases and algorithms for detection and classification of MCCs. First, a database consisting of a large number of cases is built from different sources. To support the merging of cases from different data sources, a feature comparison study is conducted between mammograms from screen film and full field digital mammography (FFDM) systems. It is demonstrated that the features extracted from film and FFDM are highly correlated and there is no adverse effect on a CAD task of classification when used together. Second, a spatial point process (SPP) approach is proposed to exploit the spatial distribution among different MCs in a mammogram directly during the detection process. This is different from the conventional approach in which detection algorithms are employed to first identify individual MCs in a mammogram, which are subsequently grouped into clusters by a clustering algorithm. The performance of the proposed approach is demonstrated to be superior to an existing method based on the support vector machine (SVM). Third, in observation of the emerging of large databases from the picture archiving and communication (PAC) systems in the clinics, a retrieval driven approach is proposed for classification of MCCs. In this approach, for a case to be diagnosed (i.e., query), a set of similar cases is retrieved from a database and subsequently is used to train xii an adaptive classifier specifically for the query case using the technique of logistic regression. The proposed approach is demonstrated to lead to significant improvement in classification accuracy. Moreover, the proposed adaptive classification approach is further developed using regularization techniques, where a prior is first derived from a baseline classifier and then used to regularize the adaptive classifier trained with the retrieved cases. The regularized adaptive classifier can be more computationally efficient, and is demonstrated to achieve further improvement in performance.
Ph.D. in Electrical Engineering, December 2011
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Title: POLARIZATION COUPLING IN SEMICONDUCTOR NANO-DIMERS IN THE TERAHERTZ RANGE
Creator: Hu, Zhijing
Date: 2017, 2017-05
Description: Surface plasmon resonance (SPR) occurs at the interface of a semiconductor and a dielectric when certain conditions are satisfied. SPR is...
Show moreSurface plasmon resonance (SPR) occurs at the interface of a semiconductor and a dielectric when certain conditions are satisfied. SPR is impetus to new sensor and device development in the optical range, with nanoparticles of noble metals taking up major roles. Typical conduction band electron concentrations in semiconductors lead to resonance frequencies in the terahertz and infrared bands. While the response strength is weaker than those exhibited by metals, it can be made up for by the formation of aggregates. The added degree of freedom by doping or carrier injection further enhances the versatility of semiconductor nanoclusters. To obtain a first principle solution to the coupled set of equations for charge carrier transport and electrodynamics in a conductive cluster is a formidable task with a high computational cost. Employing a finite-element based tool, the COMSOL Multiphysics Simulation Software, the interaction inside and outside some elementary semiconductor structures such as slab and sphere have been solved, which revealed the screening of the internal field while displaying dispersion and absorptions effects. The study of semiconductor dimer also showed a significant field enhancement and frequency shift. Under strong applied field, asymmetric polarization within the particles is revealed. The accompanying nonlinear polarization response can be employed to develop new devices. These model structures can serve to provide insight to the analysis and synthesis more complex structures.
Ph.D. in Electrical Engineering, May 2017
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Title: DESIGN OF INDUCTORLESS LOW NOISE AMPLIFIER
Creator: Huo, Yunsheng
Date: 2017, 2017-05
Description: With the rapidly increasing number of elements integrated on a single chip. The area on a chip became much costlier. And the difficulty of...
Show moreWith the rapidly increasing number of elements integrated on a single chip. The area on a chip became much costlier. And the difficulty of planning all the elements has been growing. So, decreasing the area cost of each single element became important to be considered. In the conventional technology, to cancel the imaginary part of the input impedance, inductors were used in the design of a LNA. However, inductor is an area consuming element, it would cost most of the chip area. To reduce the area cost of LNA, it is important to reduce the number of inductor, the best case is to design a LNA without any inductor. What’s more, without inductor, LNA would be able to work in a wideband frequency, but not a specific narrow-band frequency. But considering the imaginary part of input impedance, the highest frequency would reduce, depending on the f T of the MOSFET used in the design. In this thesis, the design considerations of heterodyne transceiver, which is the most popular architecture in modern RF design, are introduced firstly. Then, to reduce the undesired effect from image signal, a special architecture, called image-ejection architecture, is explained. To implement the proposal function, different architectures are shown. In RF receiver design, Low Noise Amplifier is one of the most important stages in the RX chain. To design a LNA which can meet different requirements of the RX design. Different topologies are explained, including CS stage, CG stage and differential LNA. Besides conventional technique, some up-to-date techniques are also shown, such as modified CG stage. The main propose of this thesis is to design an inductorless LNA. In this LNA design, Noise Canceling technology and Amplifier Enhancement technology were utilized to improve the noise and amplifying performance. After explaining the technologies theoretically, the circuit is simulated in a 65nm technology with working frequency band from 2 to 6 GHz. By the simulation, the gain of the design is beyond 14dB in the whole band, while the noise figure less than 2.8dB.
M.S. in Electrical Engineering, May 2017
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Title: INDEX CODING VIA RANK MINIMIZATION
Creator: Huang, Xiao
Date: 2015, 2015-07
Description: Index codes reduce the number of bits broadcast by a wireless transmitter to a number of receivers with different demands and with side...
Show moreIndex codes reduce the number of bits broadcast by a wireless transmitter to a number of receivers with different demands and with side information. It is known that the problem of finding optimal linear index codes is NP-hard (a worst-case result). Many heuristic solutions based on graph coloring have been proposed. However, graph coloring is also a NP-hard problem, and it only gives an upper bound of the index coding. Motivated by a connection between index coding and rank minimization, this thesis investigates the performance of different heuristics based on rank minimization and matrix completion methods, such as alternating projections and alternating minimization, for constructing linear index codes over the reals. The underlying matrices representing an index coding problem have a special structure that makes celebrated methods, such as nuclear norm minimization, perform badly. The performance of different methods, such as alternating projections, directional alternating projections and alternating minimization are presented, through extensive simulation results on random instances of the index coding problem. This thesis makes the following contributions: 1) The proposed alternating projections method gives the best performance compared to other graph based algorithms in the literature. 2) This proposed method leads to up to 13% savings on average communication cost compared to the well know greedy graph coloring algorithm. 3) The thesis describes how the proposed methods can be used to construct linear network codes for non-multicast networks. Our computer code is available online.
M.S. in Electrical Engineering, July 2015
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Title: ASSESSMENT OF MICROGRIDS FOR DEVELOPED AND DEVELOPING COUNTRIES
Creator: Vyas, Kohil
Date: 2013, 2013-12
Description: Today’s world essentially runs on electricity, in some form or the other. From the introduction of the concept of electricity by William...
Show moreToday’s world essentially runs on electricity, in some form or the other. From the introduction of the concept of electricity by William Gilbert to thousands of invention by Thomas Edison, there have been great changes in the world of electricity. The life of every living being is directly affected by these changes. Various electrical problems have surfaced because of these changes. Microgrids have been considered as a solution to these problems, and have been assessed and evaluated in this research. To realize the effectiveness of microgrids as a solution, initially problems were explored. It was found that there are two perspectives of the problems faced by electrical world. One being: problems seen from the view point of developed countries, and the other: problems seen from the view point of developing countries. Assessment of microgrids was accordingly branched during the research. In the case of the developed countries, the basic infrastructure of electrical system which was built long ago, demands an upgrade now. Problems like blackouts and brownouts have risen and the frequency of their occurrence is growing with time. Owing to these problems, there has been a loss of billions of dollars, as well as critical loads like research facilities, military bases, data centers etc… are severely affected. Microgrids installed in military bases, a university campus and a jail were assessed to analyze how they are implemented, the benefits reaped from them and how they can be a viable solution to the problems faced by the developed countries. In the case of the developing countries, the fact stands that they are yet to reach a state where they can serve their entire load by themselves. This results into regular load shedding. Also, there are some areas where there is no electrical infrastructure and this restricts many from even having xi the access to the electricity. For this research, microgrids installed in villages of Africa, India, and on the islands of Maldives were assessed. Their application and revolutionary impacts on the developing countries were explored. The research indicates that in the developed countries, owing to the gargantuan increase in power consumption, several electrical problems have arisen. Microgrids were able to solve these problems and save millions of dollars. Whereas, in developing countries, people still are in need of a 24-hours access to electricity for their progress. Electricity is required for basic necessities like pumping water, cooking, and activities carried out at night which requires light. Implementation of microgrids by providing electricity removes the bottleneck to their progress.
M.S. in Electrical Engineering, December 2013
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Title: IMPROVING PEDESTRIAN DETECTION USING OPTICAL FLOW
Creator: Kong, Lingxing
Date: 2015, 2015-12
Description: Pedestrian detection, which has wide applications on surveillance, automatic driving and robotics, plays a significant role in computer vision...
Show morePedestrian detection, which has wide applications on surveillance, automatic driving and robotics, plays a significant role in computer vision. Among all kinds of pedestrian detection methods, stereo based method achieves an accurate and efficient detection result by exploiting depth and color information. However, many stereo based systems fail at considering motion information which is important in locating and detecting an object. For many pedestrian detection systems, adding extra data like motion is one of the most effective ways to improve the performance. Therefore, this thesis proposes a multi-cue pedestrian detection system which integrates optical flow based and stereo based modules for combining motion, depth and color information. In the proposed system, optical flow and disparity value are estimated by using the frames which obtained from a stereo camera. In order to obtain accurate pedestrian motion, ego motion is compensated by using motion clustering, affine model and RANSAC. After that, the motion and the depth information are exploited for ROI generation. Finally, SVM is trained by the combination of motion feature and HOG feature. Experimental results show that the use of high-accuracy optical flow along with depth and color information improves the performance of multi-cue pedestrian detection system.
M.S. in Electrical Engineering, December 2015
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Title: NOVEL 8-T CNFET SRAM CELL DESIGN FOR FUTURE ULTRA-LOW POWER MICROELECTRONICS
Creator: Kim, Youngbae
Date: 2016, 2016-05
Description: In deep sub-micron technology, leakage power consumption has become a major concern in VLSI circuits, especially for SRAM, which is used to...
Show moreIn deep sub-micron technology, leakage power consumption has become a major concern in VLSI circuits, especially for SRAM, which is used to build the cache in System-on-Chip (SOC). In this paper, a low power 8-T SRAM cell, based on carbon nanotube field effect transistor (CNFET), is proposed to circumvent the leakage power issue. Experiment datas show that the proposed SRAM cell can save 97.94% static power consumption compared to existing 6T CNFET SRAM cell. In case of writing, the proposed SRAM cell consumes 39.27% less power than the traditional SRAM cell for writing 0 and 58.79% less for writing 1. Also, because of the adoption of a colaborated voltage sense amplifier and independent read component, our 8T SRAM shows much improved delay performance, the delay is observed to reduce by approximate 30% in write operation and approximate 90% in read operation.
M.S. in Electrical Engineering, May 2016
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Title: SELF-HEALING IN MICROGRID OPERATION AND MESSAGE-PASSING BASED DEMAND RESPONSE
Creator: Barati, Masoud
Date: 2013, 2013-12
Description: Electrical energy can be more efficiently and reliably generated, transmitted, and consumed over electricity grids as smart grids evolve....
Show moreElectrical energy can be more efficiently and reliably generated, transmitted, and consumed over electricity grids as smart grids evolve. Through the two-way flow of information between suppliers and consumers, the grids can encourage and adapt more easily to the increased consumer participation in energy management through demand response. This dissertation studies the transactive energy management on the residential side via microgrid operation and message-passing based demand response. A microgrid is an independent section of the electrical distribution grid with capabilities to transmit, produce, and distribute power within a localized area. The implementation of the microgrid increases the reliability and quality of power supply through various means including the self-healing paradigm. A microgrid operating under a self-healing paradigm can automatically and intelligently detect and reroute the power flow around an unexpected line fault. This dissertation presents the formulations and the methodologies of the self-healing process, which is incorporated into the microgrid operation for real-time scheduling. The self-healing process tries to find the best topology of the microgrid including radial and closed-loop configurations that minimize the total operation cost while respecting all security constraints. The dissertation also considers the AC solution of optimal power flow for self-healing applications, which enhances the reactive power flow for mitigating any bus voltage violations and for alleviating any real and reactive loop flows. The message-passing based demand response scheme relies on dynamic pricing of electricity to regulate electricity consumption. To achieve this goal, load serving entities via messages-passing gather the information such as consumers’ usage of electricity from xv ii smart meters, and set the dynamic price level appropriately in order to reduce the peak electricity demand through the cooperation of customers. In response to the dynamic price signals, customers can shift their demands automatically, with the help of a home energy management system, or manually to the off-peak hours so as to minimize their electricity payment and maximize its utility function. The message-passing based demand response scheme is applied in this dissertation to residential household scheduling, which is a key component of a future smart grid that can help reduce peak loads and adjust elastic demands to provide economic and emergency demand responses. A decentralized and iterative message-passing method is developed for solving the residential household scheduling problem. Under the context of a competitive retail electricity market, this dissertation analytically models load serving entities’ production function based on wellknown economic theory, analytically models household behaviors based on the ordinal and cardinal concepts of the utility function and using a static game strategy, and efficiently calculates retail electricity price with pure ex-ante or combinatorial pricing strategies. A simple yet effective price stabilization strategy for retail electricity price is proposed to mitigate the potential price and consumption spike caused by uncertainties in wholesale electricity prices.
PH.D in Electrical Engineering, July 2013
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Title: Design and experimental study of a capillary electrometer
Creator: Kahn, Lamos, Ostergren, Harry
Date: 2009, 1909
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/designexperiment00kahn
Thesis (B.S.)--Armour Institute of Technology

Title: A design for the Hocking Valley power project
Creator: Burris, Edward, Deering, John J., Mammes, Harry A, Sullivan, Thomas F
Date: 2009, 1915
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/designforhocking00burr
Thesis (B.S.)--Armour Institute of Technology;Includes folded leaves in back pocket

Title: OPTIMAL ROUTING ALGORITHMS IN ENERGY-HARVESTING WIRELESS SENSOR NETWORKS
Creator: Martinez, Gina
Date: 2014, 2014-12
Description: Harnessing energy from environmental sources such as solar and wind is an attractive solution to the critical energy limitation problem in...
Show moreHarnessing energy from environmental sources such as solar and wind is an attractive solution to the critical energy limitation problem in wireless sensor networks. Energy harvesting can potentially provide the network with perpetual and sustainable operation, or it can prolong network lifetime even for high consumption applications so as to justify the high cost of deployment. However, in order to efficiently utilize harvested energy, the energy source dynamics need to be incorporated into the network design. One way to do so is to make the network layer routing algorithm energy-harvest-aware. One common property of environmental energy sources is that they are generally only intermittently available. To address this, a storage unit such as a rechargeable battery can be introduced into the system. However, this is only a partial solution due to finite buffer storage capacities that cause harvested energy to be wasted when full. In this work, we aim to maximize the network lifetime by optimizing the energy availability and consumption alignment. To realize this objective, we first show that the minimization of energy wastage is a necessary condition to the maximization of available network energy. We then propose an on-demand routing algorithm that maximizes the total residual network energy by minimizing the energy consumption and wastage. Next, we illustrate the tradeoff between the two objectives of maximizing the total network energy and maximizing the minimum network energy in prolonging network lifetime. Then, we propose a linear-programming routing solution that maximizes a utility objective function based on this tradeoff. Although these routing approaches are shown to achieve high energy utilization, they are still based on deterministic harvest and consumption models. In the last part of this work, we propose a routing algorithm by applying the Semi-Markov Decision Process. Using this method, we are able to incorporate a comprehensive consideration of stochastic solar availability and traffic models, heterogeneous network properties such as non-uniform energy buffer capacities and consumption rates, and the optimization of an analytical formulation for network lifetime.
Ph.D. in Electrical and Computer Engineering, December 2014
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Title: DESIGN AND OPTIMIZATION OF CONFIGURABLE PASSIVE COMPONENTS FOR CMOS MILLIMETER-WAVE INTEGRATED CIRCUITS
Creator: Liu, Gui
Date: 2011-05-10, 2011-05
Description: With the rapid growth of wireless communications, there is an increasing demand for low cost, low power consumption, high data rates and high...
Show moreWith the rapid growth of wireless communications, there is an increasing demand for low cost, low power consumption, high data rates and high density integrated circuits. The continuous scaling of CMOS technologies promises to achieve higher frequencies of operation in the millimeter-wave (mm-wave) frequency regime. To enable lager bandwidth for higher data rates wireless applications, many efforts have been focused on the design of mm-wave CMOS integrated circuits. The emerging mm-wave wireless commercial applications such as Wireless Hi-definition Video (60 GHz), automotive radar (77 GHz) and mm-wave imaging system (94 GHz) have brought new challenges in devices technology and systems. There is an ever increasing demand for multi-band and multi-mode integrated wireless communication systems which have the advantages of power and area savings. Therefore, flexible and configurable mm-wave on-chip components and circuits are needed to accommodate a wide variety of wireless communication standards. On the other hand, the first silicon success of the challenging mm-wave integrated circuits requires superior and robust design capabilities in cutting-edge technologies. To satisfy customers by providing them with the fastest time-to-market and the lowest total cost, the configurable multiband mm-wave solution is preferred. Design of on-chip passive components operating at millimeter wave frequencies presents several challenges due to the ohmic loss, parasitic inductance and capacitance. Therefore, it requires both an accurate model and electromagnetic (EM) simulation tools to characterize the passive components. The other challenge of design of mm-wave on-chip passives is process variations which can have a significant effect on the robustness of the passive components and circuits. Methodology to compensate and adjust for process variations is needed. Passives that can be configured after fabrication would be an attractive way to obtain accurate parameters and overcome effects of process variations. The configurable Multilayer Coplanar Waveguide (MCPW) based transmission lines offer convenient method to alleviate the problem of process variations and obtain accurate inductor values. This dissertation focuses on the design of mm-wave passive components and their applications. Model, EM simulation, and optimization of several novel MCPW-based configurable inductors are presented. A 77-GHz voltage controlled oscillator (VCO) and a 77-GHz receiver employing the configurable inductors have been realized. The 77-GHz VCO with MCPW-based configurable inductor exhibits low phase noise and wide frequency tuning range. The 77-GHz receiver achieves low power and state-of-the-art performance. The successful implementations of several individual configurable passive components, a 77-GHz VCO, and a 77-GHz receiver demonstrate the feasibility to achieve good performance and robust design with configurable passive components.
Ph.D. in Electrical Engineering, May 2011
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Title: HARDWARE-EFFICIENT VLSI IMPLEMENTATION FOR PARALLEL LINEAR-PHASE DIGITAL FIR FILTER
Creator: Tsao, Yu-chi
Date: 2011-11, 2011-12
Description: Along with the explosive growth of multimedia applications, the number of gates required and the area consumed in very-large-scale integration...
Show moreAlong with the explosive growth of multimedia applications, the number of gates required and the area consumed in very-large-scale integration (VLSI) for digital signal processing (DSP) is getting higher and higher. Therefore, the demand for low-complexity and low-cost VLSI architectures for DSP, which occupies area as small as possible while remaining high performance, is imperatively needed. Finite impulse response (FIR) digital filter is one of the most widely used fundamental devices performed in DSP systems, ranging from wireless communications to video and image processing. Furthermore, when narrow transition band characteristics are required, the much higher order in the FIR filter is unavoidable. For instance, a 576-tap digital filter is used in video ghost canceller for broadcast television, which reduces the effect of multi-path signal echoes. On the other hand, parallel and pipelining processing are two techniques used in DSP applications, which both can be exploited to reduce the power consumption. Parallel processing applied on FIR digital filter can either increase the throughputs for high-speed processing or reduce the power consumption of the original sequential filter by lower supply voltage. Hence, there have been several architectures for parallel FIR digital filter proposed in the past. However, for symmetric convolutions, linear phase digital FIR filter, these proposed architectures are not beneficial in terms of hardware consumption. In this dissertation, new parallel FIR digital filter architectures which can save significant hardware cost by exploiting the inherent nature of symmetric convolutions, namely linear phase digital FIR filter, are presented. This dissertation is mainly divided into four chapters. In chapter one, some prerequisites as the background related to parallel finite impulse response (FIR) digital xi filter design and implementation are introduced, including conventional parallel FIR digital filter architectures, parallel FIR digital filter structures based on fast FIR algorithm (FFA), previously proposed architectures for parallel FIR filter, maximum absolute difference (MAD) quantization algorithm, canonic signed digit (CSD) representation and CSD multipliers for constant multiplications, are introduced and reviewed. In chapter two, the proposed parallel FIR digital filter structures for symmetric convolutions of even length are presented, in which the complexity and experimental results are analyzed and compared with FFA-based parallel FIR digital filter and other previously proposed structures. In chapter three, the proposed parallel FIR digital filter architectures for symmetric convolutions of odd length are presented, in which the complexity and the benefit of structures are analyzed and compared with FFA-based parallel FIR digital filter and other previously proposed structures The last chapter, chapter four, gives the summary and the conclusion of the proposed parallel linear-phase FIR digital filter.
Ph.D. in Electrical Engineering, December 2011
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Title: PARTICLE FILTERING ESTIMATION APPROACH IN ADVANCED DIGITAL COMMUNICATION SYSTEMS
Creator: Huang, Lun
Date: 2013, 2013-05
Description: The ever-increasing volume of users and the demand for more communication services bring about many advanced modulation and demodulation...
Show moreThe ever-increasing volume of users and the demand for more communication services bring about many advanced modulation and demodulation technologies which are developed to increase the spectrum efficiency and cope with challenging transmission conditions in digital communications. However, it is difficult to improve the performance of those traditional modulation and demodulation approaches without increasing transmit power and lowering spectrum efficiency. This thesis studies the application of powerful Particle Filtering methods to the problems associated with the interference cancellation, equalization, demodulation, and decoding of the signals over communication channel. In this thesis, theoretic models of using particle filtering approaches in digital communications are investigated, and several specific algorithms and schemes are considered as applications of the theoretic models. First, the application of particle filtering in delayed decision feed-back sequence estimation equalization is addressed. The particle filtering approach is then introduced to an efficient particle filtering receiver for inter-carrier interference cancellation and demodulation of M-ary modulated signals in OFDM/OFDMA system under time-variant Rayleigh fading channels. Subsequently, an efficient sequential Monte Carlo (SMC) demodulation approach for Polynomial Phase Modulation (PPM) is discussed. The interference cancellation and demodulation algorithm for MIMO-PPM scenario is then derived. The analysis of performance and computational complexity for SMC particle filtering approach is also provided. Comprehensive simulation results confirm that the proposed sequential Monte Carlo particle filtering approaches have better performance than the conventional methods.
PH.D in Electrical Engineering, May 2013
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Title: INTEGRATED PLANNING OF BEV PUBLIC FAST-CHARGING STATIONS
Creator: Gong, Lin
Date: 2015, 2015-12
Description: This thesis proposes a multi-layer strategy and an abstract map method to achieve an integrated planning of public fast-charging stations to...
Show moreThis thesis proposes a multi-layer strategy and an abstract map method to achieve an integrated planning of public fast-charging stations to charge certain number of lightduty battery electric vehicles in a given geographic region under its existing environment, aiming to improve application of electric vehicle in the studied region and finally enhance social welfare in a long term by optimally locating public fast-charging stations and assigning their installed capacities to maximize the possibility of effectively charging battery electric vehicles, as well as to minimize the infrastructure cost and mitigate possible negative impacts on the transportation system and the electric power system. In the first layer of this multi-layer strategy, the conditions of the transportation system are considered, analyzed and mathematically modeled, while in the second layer, based on the former layer, the conditions of the electric power system are incorporated. Then in the third layer, an integrated planning of public fast-charging stations is achieved by combining both the transportation system's and the electric power system's conditions. From the first to the last layer, a case is studied in each layer to test the idea, method and also the mathematical model which is built by the MILP method. These works are based on an abstract road network map which is rooted in the actual map of a representative geographic region. After the optimal results based on the abstract map are obtained, they will be mapped back to the actual map of the representative geographic region. Therefore, the ideas, methods and solutions studied in this thesis aiming to achieve an integrated planning of public fast-charging stations to charge battery electric vehicles are able to be applied in practice.
M.S. in Electrical Engineering, December 2015
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