Search results

Title: Design of a machine for testing commutators and brushes
Creator: Miller, L. H.
Date: 2009, 1906
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/designofmachinef00mill
Thesis (B.S.)--Armour Institute of Technology

Title: Design of high-tension, low-head, hydro-electric power plant
Creator: Quackenbush, Arthur D.
Date: 2009, 1907
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/designofhightens00quac
Thesis (B.S.)--Armour Institute of Technology

Title: Design of a hydro-electric plant
Creator: Jones, L. B., Stagg, M. V
Date: 2009, 1907
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/designofhydroele00jone
Thesis (B.S.)--Armour Institute of Technology, 1907 B.S. in Electrical Engineering, 1907

Title: REAL-TIME INTRUSION DETECTION FOR VOIP OVER WIRELESS NETWORKS
Creator: Tang, Jin
Date: 2012-07-16, 2012-07
Description: Voice over IP (VoIP) has emerged as a prevailing application in recent years. At the same time, with the increasing coverage of the IEEE 802...
Show moreVoice over IP (VoIP) has emerged as a prevailing application in recent years. At the same time, with the increasing coverage of the IEEE 802.11 based wireless networks, VoIP over wireless networks is drawing extensive attention in both academia and industry. Due to the openness and distributed nature of the protocols involved in VoIP over wireless, such as the session initiation protocol (SIP) and the IEEE 802.11 standard, it becomes easy for malicious users in the network to achieve their own gain or disrupt the service by deviating from the normal protocol behaviors. The main objective of this research is to develop real-time intrusion detection techniques that can quickly track down the malicious behaviors which manipulate the vulnerabilities from either VoIP or 802.11 protocols. Further, we will achieve the objective without requiring modification to the relevant standard protocols, and develop analytical tools to guide the detection system design for guaranteed performance. Specifically, for the malicious selfish misbehavior utilizing vulnerabilities of the 802.11 protocol, we design a real-time detector, termed as the fair share detector (FS detector), which exploits the non-parametric cumulative sum (CUSUM) test to quickly find a selfish malicious node without any a priori knowledge of the statistics of the selfish misbehavior. And while most of the existing schemes for selfish misbehavior detection depend on heuristic parameter configuration and experimental performance evaluation, we develop a Markov chain based analytical model to systematically study the FS detector. Based on the analytical model, we can quantitatively compute the system configuration parameters for guaranteed performance. Further, to achieve better detection performance, we enhance the FS detector to develop an adaptive detector with the Markov decision process (MDP). Then based on a reward function defined by us, we are able to determine an optimal decision policy to maximize the overall system benefit through a linear programming formulation. The optimal policy also indicates the operation of the adaptive detector, which yields better performance in both false positive rate and detection delay. For attacks on the SIP layer, we first focus on the well-known flooding attack and develop an online scheme to detect and subsequently prevent the attack, by integrating a novel three-dimensional sketch design with the Hellinger distance detection technique. Also, we address the stealthy attack, where intelligent attackers can afford long time to attack the system, and only incur minor changes to the system within each sampling period. To identify such attacks in the early stage for a timely response, we propose a detection scheme based on the signal processing technique wavelet, which is able to quickly expose the changes induced by the attacks. Moreover, we identify a new type of malformed message attack that can manipulate both the “Session-Expires” header in the SIP message and openness of wireless protocols to severely drain the network resources. We develop a detection method based on the Anderson-Darling test to deal with such attacks. In the future work, we will continue with the CUSUM-based framework for selfish misbehavior detection over practical multi-hop wireless networks with guaranteed performance. It is expected that we can generate distributed CUSUM-based detection mechanisms for the multi-hop networks, analytical tools for the distributed detection system, and configuration parameter selection methods for guaranteed detection performance. Moreover, as attackers can employ the openness of the 802.11 protocols to generate more severe and harder-to-detect attacks to the SIP based VoIP system, to further enhance the detection performance, we plan to develop cross-layer intrusion detection techniques for the system.
Ph.D. in Computer Engineering, July 2012
Show less

Title: WIRELESS SENSOR NETWORK BASED BUILDING AUTOMATION SYSTEM
Creator: Yi, Peizhong
Date: 2012-07-11, 2012-07
Description: Smart grid adds intelligence and bidirectional communication capabilities to today’s power grid, enabling utilities to provide real-time...
Show moreSmart grid adds intelligence and bidirectional communication capabilities to today’s power grid, enabling utilities to provide real-time-pricing (RTP) information to their customers via smart meters. This facilitates customer participation in demand response programs to reduce peak electricity demand. ZigBee, as a wireless technology characterized by low cost, power, data rate, and complexity, is ideal for smart grid applications. Unfortunately, almost all ZigBee channels overlap with Wireless Local Area Networks (WLAN) channels, resulting in severe performance degradation. In this dissertation, firstly, practical ZigBee deployment guidelines under WLAN interference are presented. “Safe Distance” and “Safe Offset Frequency” are identified by means of a comprehensive approach consisting of theoretical analysis, software simulation, and empirical measurement. In addition, a frequency-agility based interference avoidance algorithm is proposed and is implemented. The proposed algorithm detects interference and adaptively switches nodes to “safe” channels dynamically to avoid interference with low latency and energy overhead. Later we propose a real-time residential demand response scheme based on price information provided by ZigBee enabled smart meters. We model the price signal as a random process with known deterministic components, and formulate the problem of cost-minimization as a stochastic scheduling problem. A constraint on the total power consumption is considered to avoid peak shifting. An opportunistic scheduling algorithm consisting of two stages is proposed. Each user is tentatively scheduled based on the optimal stopping approach as if there is no power constraint at the first stage, while the power constraint is taken into account at the second stage. The proposed scheduling algorithm can be implemented in either a centralized or distributed fashion. Simulations validate proposed scheme can evidently reduce the cost of electricity users. At last, an optimal and automatic residential load scheduling scheme with distributed storage system based on our price prediction scheme is proposed. The price prediction scheme forecasts the future 24-hour prices according to day-ahead pricing and RTP history. Our designed scheme adopts integer programming computation to provide simple solution for customers to minimize the total cost including electricity expenditure and storage degradation while satisfying customer time requirement. The performance of proposed scheme is then evaluated through simulation.
Ph.D. in Electrical Engineering, July 2012
Show less

Title: DIGITAL CONTROL OF 2-QUADRANT AND 4-QUADRANT SWITCHED RELUCTANCE MOTOR DRIVES
Creator: Shao, Baiming
Date: 2011-04-19, 2011-05
Description: Switched reluctance machines (SRMs) are attractive because of their manufacturing simplicity and high reliability. They do not have any...
Show moreSwitched reluctance machines (SRMs) are attractive because of their manufacturing simplicity and high reliability. They do not have any windings or permanent magnets on the rotor, which makes them robust and easy to maintain. On the other hand, SRMs are highly non-linear since they work in saturation. This causes problems such as high torque ripple and system noise. In addition, mutual inductance needs to be considered for the high performance systems such as electric vehicle or aerospace applications. This effect could become critical when more than one phase is conducting. This also makes them difficult for modeling and control. Significant research on different SRM control techniques has been done in order to improve the performance of the controller and present a good solution for the industrial applications with a reasonable cost. Conventional control techniques for SRMs include chopped current control (CCC), angular position control (APC), and pulse-width modulation (PWM). Proportional-integral (PI) and other linear controllers are also used in the drive systems. However, because of the non-linearity of the machine, classic linear control techniques are not ideal for SRMs as they have challenging control issues in wide speed ranges. Different methods have been presented to implement non-linear control techniques for SRM drives or linearize the SRM motor equations. Many SRM controllers are using one or more look-up tables. The behavior of the controller is adjusting in real-time depending on the data in the look-up tables. This could increase the cost and complexity of the system. In this Ph.D. dissertation, an advanced digital control concept is presented for SRMs in both motoring and generating modes. By treating the system digitally, the controller switches between two pre-defined states to get the desired output. The proposed control technique does not need any look up tables, is not sensitive to the motor parameter variations, is low cost, and has a wide speed range. Simulation and experimental results are presented to verify the proposed digital control approach.
Ph.D. in Electrical and Computer Engineering, May 2011
Show less

Title: The installation of an electric lighting system in the Village of Norwalk, Wis.
Creator: Stadeker, Gilbert I.
Date: 2009, 1914
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/installationofel00stad
Thesis (B.S.)--Armour Institute of Technology, 1914 B.S. in Electrical Engineering, 1914

Title: Industrial lighting survey of the city of Chicago
Creator: Anderson, F. B. A., Hayden, F. E.
Date: 2009, 1921
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/industriallighti00ande
Thesis (B.S.)--Armour Institute of Technology

Title: SEQUENTIAL MONTE CARLO METHODS FOR PARAMETER ESTIMATION, DYNAMIC STATE ESTIMATION AND CONTROL IN POWER SYSTEMS
Creator: Maldonado, Daniel Adrian
Date: 2017, 2017-05
Description: The estimation, operation and control of electrical power systems have always contained a degree of uncertainty. It is expected that, with the...
Show moreThe estimation, operation and control of electrical power systems have always contained a degree of uncertainty. It is expected that, with the introduction of technologies such as distributed generation and demand-side management, the ability of system operators to forecast the dynamic behavior of the system will deteriorate and as a result, the cost of keeping the system together will increase. Sequential Monte Carlo or Particle Filtering is a family of algorithms to efficiently perform inference in non-linear dynamic systems by exploiting their structure without assuming any linearity or normality structure. In this thesis we provide two novel ways of employing these algorithms for inference and control of power systems. First, we motivate the use Bayesian statistics in load modelling by introducing a novel statistical model to capture the aggregated response of a set of loads. We then use the model to characterize load with measurement data and prior information using the Sequential Monte Carlo algorithm. Second, we introduce the Model Predictive Control for power system stabilization. We present the use of the Sequential Monte Carlo algorithm as a way of solving the stochastic Model Predictive Control problem and we compare its performance to existing regulators. In addition, Model Predictive Control is applied to load shedding Finally, we test the performance of the algorithm in a large power system scenario.
Ph.D. in Electrical Engineering, May 2017
Show less

Title: Magneto testing and design
Creator: Fryburg, Warren Francis, Copenhaver, Philip Aubrey
Date: 2009, 1913
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/magnetotestingde00fryb
Thesis (B.S.)--Armour Institute of Technology

Title: SILICON CARBIDE JFET BASED SOLID STATE CIRCUIT BREAKERS FOR MEDIUM VOLTAGE DC SYSTEMS
Creator: Moradkhani Roshandeh, Aref
Date: 2016, 2016-07
Description: In application areas such as data centers, electric ships and dc microgrids, dc systems are better systems than ac counterparts, however lack...
Show moreIn application areas such as data centers, electric ships and dc microgrids, dc systems are better systems than ac counterparts, however lack of a fast, reliable and cost effective dc circuit breaker is a big obstacle on the way of development and wide usage of these kind of systems. Nowadays since the demand for electric power and especially, access to renewable energy sources such as solar thermal generation which are located in deserts and off-shore wind power, continuously increases the demand and interest in High Voltage Direct Current (HVDC) and Medium Voltage Direct Current (MVDC) systems. In order to accept and rely on such systems, availability of fast and robust circuit breakers is inevitable which makes them one of the key enabling technologies. This thesis introduces a novel design for solid state circuit breakers (SSCB) for MVDC systems. This SSCB is inactive during normal operation and when a fault occurs, by getting power from the fault condition will be triggered on and clear the fault. This SSCB is consisted of a fast startup flyback-forward converter as a gate driver and two normally-on SiC JFETs as the main static switches which share the bus voltage equally during the fault condition. The operation principles of the SSCB are explained and analyzed in details. Moreover, prototypes are built and tested in short circuit tests. As observed in real test and experiments, the circuit breaker prototype can interrupt short circuit fault current up to 150 amperes at a dc bus voltage of 1000 volts within 3 microsecond.
M.S. in Electrical Engineering, July 2016
Show less

Title: OPTIMAL LOAD SCHEDULING IN COMMERCIAL AND RESIDENTIAL MICROGRIDS
Creator: Ganji Tanha, Mohammad Mahdi
Date: 2015, 2015-05
Description: Residential and commercial electricity customers use more than two third of the total energy consumed in the United States, representing a...
Show moreResidential and commercial electricity customers use more than two third of the total energy consumed in the United States, representing a significant resource of demand response. Price-based demand response, which is in response to changes in electricity prices, represents the adjustments in load through optimal load scheduling (OLS). In this study, an efficient model for OLS is developed for residential and commercial microgrids which include aggregated loads in single-units and communal loads. Single unit loads which include fixed, adjustable and shiftable loads are controllable by the unit occupants. Communal loads which include pool pumps, elevators and central heating/cooling systems are shared among the units. In order to optimally schedule residential and commercial loads, a community-based optimal load scheduling (CBOLS) is proposed in this thesis. The CBOLS schedule considers hourly market prices, occupants’ comfort level, and microgrid operation constraints. The CBOLS’ objective in residential and commercial microgrids is the constrained minimization of the total cost of supplying the aggregator load, defined as the microgrid load minus the microgrid generation. This problem is represented by a large-scale mixed-integer optimization for supplying singleunit and communal loads. The Lagrangian relaxation methodology is used to relax the linking communal load constraint and decompose the independent single-unit functions into subproblems which can be solved in parallel. The optimal solution is acceptable if the aggregator load limit and the duality gap are within the bounds. If any of the proposed criteria is not satisfied, the Lagrangian multiplier will be updated and a new optimal load schedule will be regenerated until both constraints are satisfied. The proposed method is applied to several case studies and the results are presented for the Galvin Center load on the 16th floor of the IIT Tower in Chicago.
Ph.D. in Electrical and Computer Engineering, May 2015
Show less

Title: MODELING AND PERFORMANCE ANALYSIS OF DISTRIBUTED COMPUTER NETWORKS WITH DIFFERENTIATED SERVICES
Creator: Monsef, Ehsan
Date: 2015, 2015-07
Description: The rapid growth of data usage in wired and wireless networks has witnessed an increase in diversity of user tra c in the last few decades. A...
Show moreThe rapid growth of data usage in wired and wireless networks has witnessed an increase in diversity of user tra c in the last few decades. A network with di eren- tiated services guarantees the provision of Quality of service(QoS) for di erent tra c classes by incorporating various class-based scheduling disciplines. Recently, there has been interest in the study of network performance modeling in networks with di erentiated services. In particular, the performance modeling of di erentiated ser- vice networks in distributed architectures has attracted several network communities. The heterogeneity of user tra c can have major impact on the overall performance of resource allocation problems in computer networks. This work aims at shedding light on the performance modeling of distributed wired and wireless environments with di erentiated services. We study the performance of priority-based distributed schemes for several important network applications: (i) network routing(load balanc- ing) in wired network (ii) network selection in wireless environment (iii) scheduling in Body Area Networks and (vi) Interference mitigation scheme for Wireless Body Area Networks. We will utilize Game-theoretic models to model the interaction between network entities and evaluate the system performance analytically and empirically. Our main objective is to investigate the degree in which various service di erentiation mechanisms have impact on the overall performance of distributed networks. We an- alyze several important equilibria properties such as existence, convergence time, and ine ciency for the studied network scenarios. Extensive simulations are conducted to empirically evaluate our game-theoretic analysis for di erent network applications. First, we study a network of parallel links where each link incorporates General Processor Sharing scheduling mechanism. Using the non-cooperative game model, we investigate the existence and uniqueness of equilibrium points. We study the e ciency of equilibria by deriving an upper bound on the Price of Anarchy (PoA). Finally, we utilize the simulation to compare our PoA bound with actual bound. Second, we study wireless network selection in a distributed environment with Discriminatory Processor Sharing (DPS) scheduling discipline. We consider a set of wireless clients in a network composed of multiple base stations with di erentiated services. The goal of each wireless client is to assign itself to a wireless base station that gives the higher throughput. We formulate the interaction between clients as a weighted congestion game and investigate the existence of equilibria. We show that the equilibrium does not necessarily exists for a general network model. We give several regimes under which the equilibrium is guaranteed to exist. These regimes are implemented either on the base stations or wireless clients. Furthermore, we derive several upper bounds on the equilibrium convergence time and give an extensive simulation to evaluate our results. Third, we consider the interaction between autonomous Wireless Body Area Networks(WBAN) in a crowded environment such as hospital. We propose a dis- tributed approach that mitigates the inter-WBAN interference using the game theory models. The interaction between WBANs is modeled as an in nite repeated game. We propose a "grim" strategy for the formulated game and prove the SPE property under speci c conditions. Furthermore, we investigate the equilibrium by comparing that to a sub-optimal Pareto strategy. We test our results using a speci c simulator designed for WBAN. Finally, we propose a new QoS framework for WBAN architecture. The goal of this framework is to implement a separate QoS layer in the design of WBAN stack protocol so that it becomes independent of the application layer. The framework o ers an application pro le interface where each application can submit its QoS require- ments. The implementation of QoS framework in a separate layer and independent of application layer enables more scalable WBAN application development.
Ph.D. in Computer Engineering, July 2015
Show less

Title: CHARGE PUMP AND LOOP FILTER IN A GHZ PHASE LOCKED LOOP DESIGN
Creator: Li, Moqu
Date: 2011-12-05, 2011-12
Description: Mobile and portable devices are becoming more and more prevailing in these years, and this makes the demands of portable telecommunication...
Show moreMobile and portable devices are becoming more and more prevailing in these years, and this makes the demands of portable telecommunication systems such as smart antennas and other phased array systems, becoming more and more important. CMOS mixed-signal design is pretty popular in today’s Radio Frequency Integrated Circuits industry for the low cost and great performance. This article is aimed to design a CMOS frequency synthesizer, in here is a Charge Pump Phase Locked Loop, and it is used to test the high speed, mixed-signal CMOS circuit design skills of the designer. The project is under usage of 65nm TSMC CMOS process technology, which is deep sub-micron technology, thus issues such as noise rejection, high frequency parasitic effects, overall efficiency, leakage current, power dissipation, etc. can be exposed and the designer’s problem solving skills can be exercised and examined. This work presents the detailed design and measurement results for a phase synthesizer using Charge Pump PLLs for achieving phase shift in the range of ±180°. Several Charge Pump PLL architectures are investigated and their advantages and limitations are evaluated in terms of frequency controllability. Commercial applications in the ZigBee (with basic of IEEE 802.15.4) band motivate this design of a Charge Pump Phase Locked Loop system in 915 MHz band in USA, since ZigBee is with 868 MHz in Europe, 915 MHz in the USA and Australia, and 2.45 GHz in most jurisdictions worldwide. The design methodology is presented which shows the flowchart of the IC design process from the system design specifications to the transistor level design. MATLAB simulations shall be used to verify the logic behavior performance. The transistor level design of every block is then evaluated for its performance in terms of phase difference synthesis and phase noise and compared with the initial modeling analysis and improved iteratively. The Charge Pump, the Loop Filter and the VCO of the PLL system is implemented in TSMC 65nm CMOS process and consumes 0.5 of power from a 1.2V power supply with a settling time of 39.40 ns.
M.S. in Electrical Engineering, December 2011
Show less

Title: Modern automatic electric block signal installation
Creator: Brashares, H. E.
Date: 2009, 1908
Publisher: Armour Institute of Technology
Description: http://www.archive.org/details/modernautomatice00bras
Thesis (B.S.)--Armour Institute of Technology

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
Show less

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
Show less

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
Show less

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
Show less

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

repository.iit

Search the repository

Pages

Pages

Enabled Filters

Refine Results

Type

Date

Subject

Creator