Open Access. Powered by Scholars. Published by Universities.®
Electrical and Computer Engineering
Electrical and Computer Engineering Faculty Research & Creative Works
- Keyword
-
- Particle Swarm Optimisation (10)
- Vehicles (10)
- Electric Vehicles (8)
- Propulsion (8)
- Automobiles (7)
-
- Electric Automobiles (7)
- Electric Inverters (7)
- Hybrid Electric Vehicles (7)
- Control Theory (6)
- Particle Swarm Optimization (6)
- Secondary Batteries (6)
- Adaptive Control (5)
- Electrostatic Discharge (5)
- Energy Storage (5)
- Fuzzy Control (5)
- Battery Powered Vehicles (4)
- Cavity Model (4)
- Electromagnetic Compatibility (4)
- Instruments (4)
- Invertors (4)
- Optimal Control (4)
- Power Electronics (4)
- Power System Control (4)
- Power System Stability (4)
- Asynchronous Circuits (3)
- Capacitors (3)
- Channel Estimation (3)
- Control System Synthesis (3)
- Couplings (3)
- Doppler Shift (3)
Articles 1 - 30 of 158
Full-Text Articles in Engineering
Thermal Modeling Of On-Chip Interconnects And 3d Packaging Using Em Tools, Lijun Jiang, Seshadri Kolluri, Barry J. Rubin, Howard Smith, Evan G. Colgan, Michael R. Scheuermann, Jamil A. Wakit, Alina Deutsch, Jason Gill
Thermal Modeling Of On-Chip Interconnects And 3d Packaging Using Em Tools, Lijun Jiang, Seshadri Kolluri, Barry J. Rubin, Howard Smith, Evan G. Colgan, Michael R. Scheuermann, Jamil A. Wakit, Alina Deutsch, Jason Gill
Electrical and Computer Engineering Faculty Research & Creative Works
The green (low power) chip design demands dramatic thermal and electrical simulation capabilities. In this paper, a novel thermal simulation approach for automatic thermal modeling of very large problems is introduced. This methodology can be fully integrated with existing solvers for electrical simulations, and make it possible to analyze practical on-chip and packaging thermal problems using the existing electromagnetic tools and geometry definitions, with very small additional effort. Its various applications to BEOL (on-chip wiring), thermal guideline design, and 3D integration (for multiple chip stacks) thermal modeling are investigated in this paper. We will demonstrate this capability with an automatic …
Electromagnetic Emissions Stimulation And Detection System, Daryl G. Beetner, Sarah A. Seguin, Todd H. Hubing
Electromagnetic Emissions Stimulation And Detection System, Daryl G. Beetner, Sarah A. Seguin, Todd H. Hubing
Electrical and Computer Engineering Faculty Research & Creative Works
A system and method for detecting and identifying electronic devices based on their unintended electromagnetic emissions (“UEE”) signals is presented. During device classification, UEE signals are measured from a plurality of test devices and characteristic data is obtained from the UEE signal emitted from each test device. Using the characteristic data, a threshold value and ideal pulse template can be determined for each test device and stored in a memory. An ideal stimulation signal is also determined for each test device and stored in the memory. During device detection, the ideal stimulation signal is applied to the environment in which …
Pmu Placement For Power System Observability Using Binary Particle Swarm Optimization, S. Chakrabarti, Ganesh K. Venayagamoorthy, E. Kyriakides
Pmu Placement For Power System Observability Using Binary Particle Swarm Optimization, S. Chakrabarti, Ganesh K. Venayagamoorthy, E. Kyriakides
Electrical and Computer Engineering Faculty Research & Creative Works
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor measurement units (PMUs) for complete observability of a power system is presented in this paper. The objectives of the optimization problem are to minimize the total number of PMUs required, and to maximize the measurement redundancy at the power system buses. Simulation results on the IEEE 14-bus and 30-bus test systems are presented in this paper.
Neural Network Output Feedback Control Of A Quadrotor Uav, Jagannathan Sarangapani, Travis Alan Dierks
Neural Network Output Feedback Control Of A Quadrotor Uav, Jagannathan Sarangapani, Travis Alan Dierks
Electrical and Computer Engineering Faculty Research & Creative Works
A neural network (NN) based output feedback controller for a quadrotor unmanned aerial vehicle (UAV) is proposed. The NNs are utilized in the observer and for generating virtual and actual control inputs, respectively, where the NNs learn the nonlinear dynamics of the UAV online including uncertain nonlinear terms like aerodynamic friction and blade flapping. It is shown using Lyapunov theory that the position, orientation, and velocity tracking errors, the virtual control and observer estimation errors, and the NN weight estimation errors for each NN are all semi-globally uniformly ultimately bounded (SGUUB) in the presence of bounded disturbances and NN functional …
A Circuit Model For Esd Performance Analysis Of Printed Circuit Boards, Byong-Su Seol, Jong-Sung Lee, Jae-Deok Lim, Hyungseok Lee, Harkbyeong Park, Argha Nandy, David Pommerenke
A Circuit Model For Esd Performance Analysis Of Printed Circuit Boards, Byong-Su Seol, Jong-Sung Lee, Jae-Deok Lim, Hyungseok Lee, Harkbyeong Park, Argha Nandy, David Pommerenke
Electrical and Computer Engineering Faculty Research & Creative Works
This paper provides a SPICE-compatible circuit model for characterizing electrostatic discharge (ESD) clamping performance of protection devices mounted on printed circuit boards (PCBs). An equivalent circuit model for a commercial ESD generator is introduced and a simulation methodology of an ESD protection device with non-linear resistance characteristic using voltage controlled current source is described. These models combined to create a full circuit model with a PCB model in a SPICE-like circuit simulator. Comparison results between the simulated and measured are presented to verify the accuracy of the proposed circuit model. A trade-off analysis between the ESD clamping performance and signal …
Neural-Network-Based State Feedback Control Of A Nonlinear Discrete-Time System In Nonstrict Feedback Form, Pingan He, Jagannathan Sarangapani
Neural-Network-Based State Feedback Control Of A Nonlinear Discrete-Time System In Nonstrict Feedback Form, Pingan He, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a suite of adaptive neural network (NN) controllers is designed to deliver a desired tracking performance for the control of an unknown, second-order, nonlinear discrete-time system expressed in nonstrict feedback form. In the first approach, two feedforward NNs are employed in the controller with tracking error as the feedback variable whereas in the adaptive critic NN architecture, three feedforward NNs are used. In the adaptive critic architecture, two action NNs produce virtual and actual control inputs, respectively, whereas the third critic NN approximates certain strategic utility function and its output is employed for tuning action NN weights …
Fully Evolvable Optimal Neurofuzzy Controller Using Adaptive Critic Designs, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Fully Evolvable Optimal Neurofuzzy Controller Using Adaptive Critic Designs, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
A near-optimal neurofuzzy external controller is designed in this paper for a static compensator (STATCOM) in a multimachine power system. The controller provides an auxiliary reference signal for the STATCOM in such a way that it improves the damping of the rotor speed deviations of its neighboring generators. A zero-order Takagi-Sugeno fuzzy rule base constitutes the core of the controller. A heuristic dynamic programming (HDP) based approach is used to further train the controller and enable it to provide nonlinear near-optimal control at different operating conditions of the power system. Based on the connectionist systems theory, the parameters of the …
A Model Based Fault Detection And Prognostic Scheme For Uncertain Nonlinear Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
A Model Based Fault Detection And Prognostic Scheme For Uncertain Nonlinear Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
A new fault detection and prognostics (FDP) framework is introduced for uncertain nonlinear discrete time system by using a discrete-time nonlinear estimator which consists of an online approximator. A fault is detected by monitoring the deviation of the system output with that of the estimator output. Prior to the occurrence of the fault, this online approximator learns the system uncertainty. In the event of a fault, the online approximator learns both the system uncertainty and the fault dynamics. A stable parameter update law in discrete-time is developed to tune the parameters of the online approximator. This update law is also …
Intelligent Scheduling Of Hybrid And Electric Vehicle Storage Capacity In A Parking Lot For Profit Maximization In Grid Power Transactions, Chris Huston, Ganesh K. Venayagamoorthy, Keith Corzine
Intelligent Scheduling Of Hybrid And Electric Vehicle Storage Capacity In A Parking Lot For Profit Maximization In Grid Power Transactions, Chris Huston, Ganesh K. Venayagamoorthy, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes an intelligent method for scheduling usage of available energy storage capacity from plugin hybrid electric vehicles (PHEV) and electric vehicles (EV). The batteries on these vehicles can either provide power to the grid when parked, known as vehicle- to-grid (V2G) concept or take power from the grid to charge the batteries on the vehicles. A scalable parking lot model is developed with different parameters assigned to fleets of vehicles. The size of the parking lot is assumed to be large enough to accommodate the number of vehicles performing grid transactions. In order to figure out the appropriate …
Correlation Between Eut Failure Levels And Esd Generator Parameters, Jayong Koo, Qing Cai, Kai Wang, J. Maas, T. Takahashi, Andrew Martwick, David Pommerenke
Correlation Between Eut Failure Levels And Esd Generator Parameters, Jayong Koo, Qing Cai, Kai Wang, J. Maas, T. Takahashi, Andrew Martwick, David Pommerenke
Electrical and Computer Engineering Faculty Research & Creative Works
Some system-level electrostatic discharge (ESD) tests repeat badly if different ESD generators are used. For improving repeatability, ESD generator specifications have been changed, and modified generators have been compared in a worldwide round robin test. The test showed up to 1 : 3 variations of failure levels. Multiple parameters that characterize ESD generators have been measured. This paper correlates the parameters to test result variations trying to distinguish between important and nonrelevant parameters. The transient fields show large variations among different ESD generators. A correlation has been observed in many equipment under tests (EUTs) between failure levels and the spectral …
A Variable-Order Flom Algorithm For Heavy-Tailed Clutter Suppression, Y. Rosa Zheng
A Variable-Order Flom Algorithm For Heavy-Tailed Clutter Suppression, Y. Rosa Zheng
Electrical and Computer Engineering Faculty Research & Creative Works
The normalized fractionally-lower order moment (FLOM) algorithm exhibits fast convergence but high excess mean squared error (MSE) when the order is less than 2. This paper proposes a method using variable order moments to adaptively changing the order during adaptation, thus achieving both fast initial convergence and low excess MSE in the steady state. The algorithm is applied to both Gaussian and heavy-tailed non-Gaussian clutter suppression in phased array applications. The results show better performances of the proposed algorithm over the normalized FLOM and normalized Least Mean Square (NLMS) algorithms. The proposed algorithm also performs well in other adaptive filtering …
Non-Destructive Testing Of Physical Characteristics Of Composite Structures, R. Zoughi, Sergey Kharkovsky, Vivian Stephen
Non-Destructive Testing Of Physical Characteristics Of Composite Structures, R. Zoughi, Sergey Kharkovsky, Vivian Stephen
Electrical and Computer Engineering Faculty Research & Creative Works
A method for detecting an anomaly in a composite material comprising directing two transmitted electromagnetic wave signals orthogonally polarized with respect to each other from a probe to the composite material, wherein the probe and composite material are positioned for near-field evaluation of the probe. A related apparatus comprising an open-ended square waveguide probe.
Adaptive And Probabilistic Power Control Algorithms For Rfid Reader Networks, Kainan Cha, Anil Ramachandran, Jagannathan Sarangapani
Adaptive And Probabilistic Power Control Algorithms For Rfid Reader Networks, Kainan Cha, Anil Ramachandran, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In radio frequency identification (RFID) systems, the detection range and read rates will suffer from interference among high power reading devices. This problem grows severely and degrades system performance in dense RFID networks. Consequently, medium access protocols (MAC) protocols are needed for such networks to assess and provide access to the channel so that tags can be read accurately. In this paper, we investigate a suite of feasible power control schemes to ensure overall coverage area of the system while maintaining a desired read rate. The power control scheme and MAC protocol dynamically adjusts the RFID reader power output in …
Eliminating Via-Plane Coupling Using Ground Vias For High-Speed Signal Transitions, Songping Wu, Xin Chang, Christian Schuster, Xiaoxiong Gu, Jun Fan
Eliminating Via-Plane Coupling Using Ground Vias For High-Speed Signal Transitions, Songping Wu, Xin Chang, Christian Schuster, Xiaoxiong Gu, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
When a high-speed signal transits through a via that penetrates a plane pair, parallel-plane resonances can cause additional insertion loss for the signal. To eliminate this via-plane coupling, ground vias are added adjacent to the signal via. This paper discusses the impact of the ground vias as a function of the number of the ground vias, their locations, and the size of the plane pair. A block-by-block physics-based equivalent circuit modeling approach is used in the study. The underlying physics of the phenomenon and the design implications are also discussed in the paper.
A New Walking Pattern Svm Technique For Five-Phase Motor Drives, Jing Huang, Keith Corzine
A New Walking Pattern Svm Technique For Five-Phase Motor Drives, Jing Huang, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
As multi-phase motor drives become more popular and practical, new research in this area investigates potential advantages including lower torque ripple and better power density. The added dimensions of a multi-phase machine leads to a completely different operating nature than standard three-phase machines and merits research into new modulation methods. The five-phase and six-phase machines have been traditionally studied in the literature applying voltage-source modulation methods such as sine-triangle modulation and space- vector modulation for current harmonic elimination. Recent research of five-phase induction motor drives addressed nearest three vectors switching; which adds current harmonics but lowers torque ripple and considerably …
Real Time Implementation Of An Artificial Immune System Based Controller For A Dstatcom In An Electric Ship Power System, Pinaki Mitra, Ganesh K. Venayagamoorthy
Real Time Implementation Of An Artificial Immune System Based Controller For A Dstatcom In An Electric Ship Power System, Pinaki Mitra, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
A new adaptive control strategy based on artificial immune system (AIS) for a DSTATCOM in an electric ship power system is presented in this paper. DSTATCOM is a shunt compensation device, which can be used to improve the power quality during the pulse power requirements in a naval shipboard system. The role of DSTATCOM controller is very important to meet this objective. In this paper, the DSTATCOM controller parameters are first tuned by particle swarm optimization (PSO) technique, so that it can provide innate immunity to common system disturbances. Then, these optimum parameters are modified online by an artificial immune …
New Power Quality Index In A Distribution Power System By Using Rmp Model, Soon Lee, Jung-Wook Park, Ganesh K. Venayagamoorthy
New Power Quality Index In A Distribution Power System By Using Rmp Model, Soon Lee, Jung-Wook Park, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a new power quality index (PQI), which is directly related to the generation of distortion power from nonlinear harmonic loads, is introduced to determine their harmonic pollution ranking in a distribution power system. The electric load composition rate (LCR) and the total harmonic distortion (THD) for the estimated currents on each harmonic load are used to define the proposed PQI. The reduced multivariate polynomial (RMP) model with one-shot training property is applied to realize the PQI. Then, the ranking of distortion power for each nonlinear load, which have adverse effect on the entire system, is determined. It …
Work In Progress -- Instrumentation On A Truss Adapted For Pre-College Outreach, Amy K. Perrey, Steve Eugene Watkins, Ralph E. Flori, Theresa M. Swift
Work In Progress -- Instrumentation On A Truss Adapted For Pre-College Outreach, Amy K. Perrey, Steve Eugene Watkins, Ralph E. Flori, Theresa M. Swift
Electrical and Computer Engineering Faculty Research & Creative Works
Engineering content is a valuable addition to pre-college instruction in science, technology, engineering, and mathematics (STEM) since it applies scientific concepts, illustrates scientific relevance and technology, and provides measurement opportunities. Also, complex systems and interactions can be shown. This work describes outreach resources using a seven-member instrumented truss apparatus. This aluminum bench-top model is scaled to support up to fifty pounds. Electrical resistance gauges are installed on several members for strain measurement. The resource set includes the truss apparatus, instrumentation, a PowerPoint presentation, and a background document. The pre-college objective is a set of demonstration resources for middle or high …
Work In Progress -- Balancing Prescribed And Project-Based Experiences In Microfabrication Laboratories, Chang-Soo Kim, Steve Eugene Watkins
Work In Progress -- Balancing Prescribed And Project-Based Experiences In Microfabrication Laboratories, Chang-Soo Kim, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
Student education for microfabrication processes needs to integrate theoretical understanding with process understanding. Instructional challenges exist in designing effective laboratory experiences. The pedagogical issues include linking theoretical lecture concepts to cost-effective laboratories, tailoring the relative time between lectures and laboratories, and balancing the laboratory assignments between prescribed and project-based experiences. We describe the progressive implementations of microfabrication laboratory experiences in graduate courses. The first offering has no laboratory activity. The prescribed laboratory and project-based laboratory components were gradually incorporated. All laboratory experiences were team-based and utilized cost-effective facilities. The assessments indicate that students prefer significant laboratory experience and that learning …
Decision Theory On Dynamic Domains Nabla Derivatives And The Hamilton-Jacobi-Bellman Equation, John E. Seiffertt Iv, Donald C. Wunsch, Suman Sanyal
Decision Theory On Dynamic Domains Nabla Derivatives And The Hamilton-Jacobi-Bellman Equation, John E. Seiffertt Iv, Donald C. Wunsch, Suman Sanyal
Electrical and Computer Engineering Faculty Research & Creative Works
The time scales calculus, which includes the study of the nabla derivatives, is an emerging key topic due to many multidisciplinary applications. We extend this calculus to Approximate Dynamic Programming. In particular, we investigate application of the nabla derivative, one of the fundamental dynamic derivatives of time scales. We present a nabla-derivative based derivation and proof of the Hamilton-Jacobi-Bellman equation, the solution of which is the fundamental problem in the field of dynamic programming. By drawing together the calculus of time scales and the applied area of stochastic control via Approximate Dynamic Programming, we connect two major fields of research.
Novel Dynamic Representation And Control Of Power Networks Embedded With Facts Devices, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow
Novel Dynamic Representation And Control Of Power Networks Embedded With Facts Devices, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow
Electrical and Computer Engineering Faculty Research & Creative Works
FACTS devices have been shown to be powerful in damping power system oscillations caused by faults; however, in the multi machine control using FACTS, the control problem involves solving differential-algebraic equations of a power network which renders the available control schemes ineffective due to heuristic design and lack of know how to incorporate FACTS into the network. A method to generate nonlinear dynamic representation of a power system consisting of differential equations alone with universal power flow controller (UPFC) is introduced since differential equations are typically preferred for controller development. Subsequently, backstepping methodology is utilized to reduce the generator oscillations …
Prediction Of Effective Permittivity Of Diphasic Dielectrics Using An Equivalent Capacitance Model, Sandeep K. Patil, Marina Koledintseva, Robert W. Schwartz, Wayne Huebner
Prediction Of Effective Permittivity Of Diphasic Dielectrics Using An Equivalent Capacitance Model, Sandeep K. Patil, Marina Koledintseva, Robert W. Schwartz, Wayne Huebner
Electrical and Computer Engineering Faculty Research & Creative Works
An analytical model based on an equivalent capacitance circuit for expressing a static effective permittivity of a composite dielectric with complex-shaped inclusions is presented. The dielectric constant of 0-3 composites is investigated using this model. The geometry of the capacitor containing a composite dielectric is discretized into partial parallel-plate capacitor elements, and the effective permittivity of the composite is obtained from the equivalent capacitance of the structure. First, an individual cell diphasic dielectric (a high-permittivity spherical inclusion enclosed in a lower permittivity parallelepiped) is considered. The capacitance of this cell is modeled as a function of an inclusion radius/volume fraction. …
A Model Based Fault Detection Scheme For Nonlinear Multivariable Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
A Model Based Fault Detection Scheme For Nonlinear Multivariable Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a novel robust scheme is developed for detecting faults in nonlinear discrete time multi-input and multi-output systems in contrast with the available schemes that are developed in continuous-time. Both state and output faults are addressed by considering separate time profiles. The faults, which could be incipient or abrupt, are modeled using input and output signals of the system. By using nonlinear estimation techniques, the discrete-time system is monitored online. Once a fault is detected, its dynamics are characterized using an online approximator. A stable parameter update law is developed for the online approximator scheme in discrete-time. The …
Analysis Of Noise Coupling From Printed Circuit Board To Shielding Enclosure, Zhenwei Yu, Xiaopeng Dong, Jason A. Mix, Kevin P. Slattery, Jun Fan
Analysis Of Noise Coupling From Printed Circuit Board To Shielding Enclosure, Zhenwei Yu, Xiaopeng Dong, Jason A. Mix, Kevin P. Slattery, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
The power distribution network in a printed circuit board (PCB) inside a compact-size enclosure is an effective path for high-speed digital noise to be coupled to the RF receivers inside the same enclosure, causing RF interference (RFI) issues. This noise coupling mechanism from PCB to shielding enclosure is investigated in this paper using the cavity model and the segmentation technique. In this approach, the structure of an enclosure with a PCB inside is divided into cavities with both horizontal and vertical connections. Modeling result agrees well with full wave simulations, and the simulation time is considerably reduced. Furthermore, the relationship …
Hardware Implementation Of An Ais-Based Optimal Excitation Controller For An Electric Ship, Chuan Yan, Ganesh K. Venayagamoorthy, Keith Corzine
Hardware Implementation Of An Ais-Based Optimal Excitation Controller For An Electric Ship, Chuan Yan, Ganesh K. Venayagamoorthy, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
The operation of high energy loads on Navy's future electric ships, such as directed energy weapons, will cause disturbances in the main bus voltage and impact the operation of the rest of the power system when the pulsed loads are directly powered from the main dc bus. This paper describes an online design and laboratory hardware implementation of an optimal excitation controller using an artificial immune system (AIS) based algorithm. The AIS algorithm, a clonal selection algorithm (CSA), is used to minimize the effects of pulsed loads by improved excitation control and thus, reduce the requirement on energy storage device …
Joint Adaptive Distributed Rate And Power Control For Wireless Networks, James W. Fonda, Jagannathan Sarangapani, Steve Eugene Watkins
Joint Adaptive Distributed Rate And Power Control For Wireless Networks, James W. Fonda, Jagannathan Sarangapani, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
A novel adaptive distributed rate and power control (ADRPC) protocol is introduced for wireless networks. The proposed controller contrasts from others by providing nonlinear compensation to the problem of transmission power and bit-rate adaptation. The protocol provides control of both signal-to-interference ratio (SIR) and quality-of-service (QoS) support to bit-rate adaptation. Bit-rate adaptation is performed by local estimation of congestion levels, rendering little packet overhead, using Lyapunov based adaptive control methods. Performance of the proposed control scheme is shown through analytical proof and simulation examples.
Real-Time Implementation Of Intelligent Modeling And Control Techniques On A Plc Platform, Curtis Alan Parrott, Ganesh K. Venayagamoorthy
Real-Time Implementation Of Intelligent Modeling And Control Techniques On A Plc Platform, Curtis Alan Parrott, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Programmable logic controllers (PLCs) have been used for many decades for standard control in industrial and factory environments. Over the years, PLCs have become computational efficient and powerful, and a robust platform with applications beyond the standard control and factory automation. Due to the new advanced PLC's features and computational power, they are ideal platforms for exploring advanced modeling and control methods, including computational intelligence based techniques such as neural networks, particle swarm optimization (PSO) and many others. Some of these techniques require fast floating-point calculations that are now possible in real-time on the PLC. This paper focuses on the …
Massively Parallel Full-Wave Modeling Of Advanced Packaging Structures On Bluegene Supercomputer, J. D. Morsey, Lijun Jiang, B. J. Rubin, A. Deutsch, C. W. Surovic, D. Becker, A. Haridass
Massively Parallel Full-Wave Modeling Of Advanced Packaging Structures On Bluegene Supercomputer, J. D. Morsey, Lijun Jiang, B. J. Rubin, A. Deutsch, C. W. Surovic, D. Becker, A. Haridass
Electrical and Computer Engineering Faculty Research & Creative Works
A parallel, distributed memory version of a full wave Method of Moments (MoM) solution combined with the Reduced Coupling approximation technique is presented on the largest parallel-server. Modeling results for product-level simulation of a single-chip module are correlated with time-domain measurements for validation of the technique. Scaling for this and other representative examples are shown for up to 16,384 compute nodes on IBM's BlueGene supercomputer, the largest parallel-platform ever reported for MoM based solutions. © 2008 IEEE.
Optimal Energy-Delay Routing Protocol With Trust Levels For Wireless Ad Hoc Networks, Eyad Taqieddin, Ann K. Miller, Jagannathan Sarangapani
Optimal Energy-Delay Routing Protocol With Trust Levels For Wireless Ad Hoc Networks, Eyad Taqieddin, Ann K. Miller, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents the Trust Level Routing (TLR) pro- tocol, an extension of the optimized energy-delay rout- ing (OEDR) protocol, focusing on the integrity, reliability and survivability of the wireless network. TLR is similar to OEDR in that they both are link state routing proto- cols that run in a proactive mode and adopt the concept of multi-point relay (MPR) nodes. However, TLR aims at incorporating trust levels into routing by frequently changing the MPR nodes as well as authenticating the source node and contents of control packets. TLR calcu- lates the link costs based on a composite metric (delay …
Intelligent Tool For Determining The True Harmonic Current Contribution Of A Customer In A Power Distribution Network, Joy Mazumdar, Ronald G. Harley, Frank C. Lambert, Ganesh K. Venayagamoorthy, Marty L. Page
Intelligent Tool For Determining The True Harmonic Current Contribution Of A Customer In A Power Distribution Network, Joy Mazumdar, Ronald G. Harley, Frank C. Lambert, Ganesh K. Venayagamoorthy, Marty L. Page
Electrical and Computer Engineering Faculty Research & Creative Works
Customer loads connected to power distribution network may be broadly categorized as either linear or nonlinear. Nonlinear loads inject harmonics into the power network. Harmonics in a power system are classified as either load harmonics or as supply harmonics depending on their origin. The source impedance also impacts the harmonic current flowing in the network. Hence, any change in the source impedance is reflected in the harmonic spectrum of the current. This paper proposes a novel method based on artificial neural networks to isolate and evaluate the impact of the source impedance change without disrupting the operation of any load, …