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Articles 12301 - 12330 of 12370
Full-Text Articles in Entire DC Network
International Courts And Tribunals, Nancy Combs, Daryl A. Mundis, Ucheora O. Onwuamaegbu, Mark B. Rees
International Courts And Tribunals, Nancy Combs, Daryl A. Mundis, Ucheora O. Onwuamaegbu, Mark B. Rees
The International Lawyer
No abstract provided.
Middle Eastern Law, Jim Phipps, Christopher Scott Maravilla, Amr Abbas, Fatma Salah
Middle Eastern Law, Jim Phipps, Christopher Scott Maravilla, Amr Abbas, Fatma Salah
The International Lawyer
No abstract provided.
Principles-Based Accounting Standards, Frederick Gill
Principles-Based Accounting Standards, Frederick Gill
North Carolina Journal of International Law
No abstract provided.
A New Hplc-Elsd Method To Quantify Indican In Polygonum Tinctorium L. And To Evaluate Beta-Glucosidase Hydrolysis Of Indican For Indigo Production., Lg Angelini, E Campeol, S Tozzi, Kg Gilbert, Dt Cooke, P John
A New Hplc-Elsd Method To Quantify Indican In Polygonum Tinctorium L. And To Evaluate Beta-Glucosidase Hydrolysis Of Indican For Indigo Production., Lg Angelini, E Campeol, S Tozzi, Kg Gilbert, Dt Cooke, P John
Peninsula Medical School
A method to quantify the indigo precursor indican (indoxyl-beta-D-glucoside) in Polygonum tinctorium L. has been developed. Plant material was extracted in deionized water, and indican was identified and quantified using high performance liquid chromatography (HPLC) coupled to an evaporative light scattering detector (ELSD). Results confirmed that with this method it is possible to measure indican content in a short time, obtaining reliable and reproducible data. Using this method, leaf indican content was quantified every 15 days during the growing season (from May to October) in P. tinctorium crops grown in a field experiment in Central Italy. Results showed that indican …
Molecular Mass And Dynamics In Pma-D₃ In The Glass Transition Region, Burak Metin, Frank D. Blum
Molecular Mass And Dynamics In Pma-D₃ In The Glass Transition Region, Burak Metin, Frank D. Blum
Chemistry Faculty Research & Creative Works
The segmental dynamics through the glass transition region, by which the glassy polymer becomes rubbery, are not well understood. Free volume, thermodynamic and kinetic theories have been used to describe the phenomenon behind the glass transition and some of those theories were tested with computer simulations. Different experimental techniques, such as NMR, thermo-mechanical analysis (TMA), differential scanning calorimetry (DSC), dilatometry and dynamic mechanical analysis (DMA) have all been also used to probe this important phenomena. Deuterium (2H) NMR has been a valuable tool for the investigation of the dynamics of macromolecules. Deuteration of macromolecules at specific locations on the chains …
Doing Loshootseed Morphology By Analogy, Deryle W. Lonsdale
Doing Loshootseed Morphology By Analogy, Deryle W. Lonsdale
Faculty Publications
Analogical modeling (AM) is an exemplar-based general modeling theory that is being applied to an increasing range ofnatural language processing problems. This paper introduces AM as a viable approach to morphological analysis for Lushootseed, and shows results from applying the system to analyze the contents of the transcription of a well-known Lushootseed story. Subsequent discussion mentions the strengths and current weaknesses of the approach. Possible improvements and future applications are also sketched.
Automated Rating Of Esl Essays, Deryle W. Lonsdale, Diane Strong-Krause
Automated Rating Of Esl Essays, Deryle W. Lonsdale, Diane Strong-Krause
Faculty Publications
To date, traditional NLP parsers have not been widely successful in TESOLoriented applications, particularly in scoring written compositions. Re-engineering such applications to provide the necessary robustness for handling ungrammatical English has proven a formidable obstacle. We discuss the use of a nontraditional parser for rating compositions that attenuates some of these difficulties. Its dependency-based shallow parsing approach provides significant robustness in the face of language learners’ ungrammatical compositions. This paper discusses how a corpus of L2 essays for English was rated using the parser, and how the automatic evaulations compared to those obtained by manual methods. The types of modifications …
A Memory-Based Approach To Cantonese Tone Recognition, Deryle W. Lonsdale, Michael Emonts
A Memory-Based Approach To Cantonese Tone Recognition, Deryle W. Lonsdale, Michael Emonts
Faculty Publications
This paper introduces memory-based learning as a viable approach for Cantonese tone recognition. The memorybased learning algorithm employed here outperforms other documented current approaches for this problem, which is based on neural networks. Various numbers of tones and features are modeled to find the best method for feature selection and extraction. To further optimize this approach, experiments are performed to isolate the best feature weighting method, the best class voting weights method, and the best number of k-values to implement. Results and possible future work are discussed.
The Relations Between Knowledge, Search Strategy, And Performance In Unaided And Aided Information Search, John A. Barrick, Brian C. Spilker
The Relations Between Knowledge, Search Strategy, And Performance In Unaided And Aided Information Search, John A. Barrick, Brian C. Spilker
Faculty Publications
Information search is a critical step in resolving complex issues in many different decisionmaking domains. This study examines the relations between knowledge, search strategy, and performance in both unaided and aided information search. The results of an experiment indicates that (a) task-relevant knowledge is directly related to performance in aided but not in unaided information search; (b) in unaided information search, search strategy mediates the relation between knowledge and performance; that is, knowledge indirectly affects performance through its effect on search strategy; and (c) an information search aid moderates both the relation between knowledge and search strategy and the relation …
Deuterium Nmr Studies Of Bulk And Silica-Absorbed Polystyrene, Macduff O. Okuom, Jinhua Yang, Frank D. Blum
Deuterium Nmr Studies Of Bulk And Silica-Absorbed Polystyrene, Macduff O. Okuom, Jinhua Yang, Frank D. Blum
Chemistry Faculty Research & Creative Works
Thin polymer films are used in applications such as electronics, biomedical devices and coatings. As the trend to make the devices smaller continues, a film's influence on a material's overall properties becomes more prominent. Previous studies have shown that thin polymer films have characteristics slightly different from those of bulk polymers. Film behavior has been characterized by examining thermal expansion, diffusion, conformation, density and glass transitions. The dynamics of glassy polystyrene has been investigated using a wide variety of theoretical and experimental methods. Schaefer et al., using 13C NMR, reported that ~7% of phenyl rings in polystyrene undergo -flips. Using …
Multilevel Converter-Based Dual-Frequency Induction Heating Power Supply, B. Diong, S. Basireddy, Keith Corzine
Multilevel Converter-Based Dual-Frequency Induction Heating Power Supply, B. Diong, S. Basireddy, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
Most existing power supplies for induction heating equipment produce voltage at a single (adjustable) frequency. Recently, however, induction heating power supplies that produce voltage at two (adjustable) frequencies have been researched and even commercialized. Dual-frequency power supplies are a significant development for heat-treating workpieces with uneven geometries, such as gears, since different portions of such workpieces are heated dissimilarly at a single frequency and so require a two step process using a single-frequency power supply. On the other hand, a dual-frequency power supply can achieve the desired result for such workpieces in a one step process. However, the existing approaches …
Multilevel Inverter-Based Dual-Frequency Power Supply, B. Diong, Keith Corzine, S. Basireddy, Shuai Lu
Multilevel Inverter-Based Dual-Frequency Power Supply, B. Diong, Keith Corzine, S. Basireddy, Shuai Lu
Electrical and Computer Engineering Faculty Research & Creative Works
Most existing power supplies for induction heating equipment produce voltage at a single (adjustable) frequency. Recently, however, induction heating power supplies that produce voltage at two (adjustable) frequencies simultaneously have been introduced and commercialized. These represent a significant development particularly for heat-treating workpieces with uneven geometries, such as gears. Still, the existing approaches to dual-frequency voltage generation could be improved upon to achieve better control, higher efficiency, and reduced electromagnetic interference. This letter proposes the use of multilevel inverters for providing power at two frequencies simultaneously. It describes how the stepping angles for the desired output from such inverters can …
Pcb Emc Design Guidelines: A Brief Annotated List, Todd H. Hubing
Pcb Emc Design Guidelines: A Brief Annotated List, Todd H. Hubing
Electrical and Computer Engineering Faculty Research & Creative Works
Some of the worst printed circuit board design choices are made by engineers who are trying to comply with a list of EMC design guidelines. Nevertheless, a short list of design guidelines can be helpful at times. This paper reviews some of the more general EMC design guidelines for printed circuit board layout.
Query-Based Learning For Aerospace Applications, Donald C. Wunsch, Emad W. Saad, J. J. Choi, J. L. Vian
Query-Based Learning For Aerospace Applications, Donald C. Wunsch, Emad W. Saad, J. J. Choi, J. L. Vian
Electrical and Computer Engineering Faculty Research & Creative Works
Models of real-world applications often include a large number of parameters with a wide dynamic range, which contributes to the difficulties of neural network training. Creating the training data set for such applications becomes costly, if not impossible. In order to overcome the challenge, one can employ an active learning technique known as query-based learning (QBL) to add performance-critical data to the training set during the learning phase, thereby efficiently improving the overall learning/generalization. The performance-critical data can be obtained using an inverse mapping called network inversion (discrete network inversion and continuous network inversion) followed by oracle query. This paper …
Smart Bridges With Fiber-Optic Sensors, Steve Eugene Watkins
Smart Bridges With Fiber-Optic Sensors, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
This article describes an approach to bridge improvements that uses smart structures, introduces key technologies for health monitoring systems based on fiber optics and gives an overview of two instrumented bridges. A sensing system in one application monitors general performance and health of the structure, while the system in a second application interrogates the behavior of a major structural repair.
The Development Of A Closed-Form Expression For The Input Impedance Of Power-Return Plane Structures, Minjia Xu, Todd H. Hubing
The Development Of A Closed-Form Expression For The Input Impedance Of Power-Return Plane Structures, Minjia Xu, Todd H. Hubing
Electrical and Computer Engineering Faculty Research & Creative Works
In multilayer printed circuit boards, the noise on the power bus is influenced by the impedance between the power and ground planes. Power-bus noise estimates require an accurate estimate of the power-bus input impedance. This paper develops a closed-form estimate of the input impedance for circular power-return plane structures. When the structure is lossy (e.g., boards employing embedded capacitance or densely populated boards), the energy reflected from the board edge does not significantly affect the input impedance. In general, the expressions developed here for circular structures can be used to estimate the impedance of lossy power-return plane structures of any …
The Subcircuit Extraction Problem, Nian Zhang, Donald C. Wunsch, Frank Harary
The Subcircuit Extraction Problem, Nian Zhang, Donald C. Wunsch, Frank Harary
Electrical and Computer Engineering Faculty Research & Creative Works
The steady down scaling of CMOS device dimensions has been the main stimulus to the growth of microelectronics and computer aided very large scale integration (VLSI) design. But the more an integrated circuit (IC) is scaled, the higher its packing density becomes. The increasing size of chips, measured in either area or number of transistors, and the waste of the large capital investment involved in fabricating and testing circuits that do not work, make layout analysis and verification an important part of physical design automation. The most efficient way to overcome these difficulties is to identify a related collection of …
Vibration Analysis Via Neural Network Inverse Models To Determine Aircraft Engine Unbalance Condition, Xiao Hu, J. L. Vian, Donald C. Wunsch, J. R. Slepski
Vibration Analysis Via Neural Network Inverse Models To Determine Aircraft Engine Unbalance Condition, Xiao Hu, J. L. Vian, Donald C. Wunsch, J. R. Slepski
Electrical and Computer Engineering Faculty Research & Creative Works
This paper describes the use of artificial neural networks (ANNs) with the vibration data from real flight tests for detecting engine health condition - mass imbalance herein. Order-tracking data, calculated from time series is used as the input to the neural networks to determine the amount and location of mass imbalance on aircraft engines. Several neural network methods, including multilayer perceptron (MLP), extended Kalman filter (EKF) and support vector machines (SVMs) are used in the neural network inverse model for the performance comparison. The promising performances are presented at the end.
A Continually Online Trained Neurocontroller For The Series Branch Control Of The Upfc, Ganesh K. Venayagamoorthy, Radha P. Kalyani
A Continually Online Trained Neurocontroller For The Series Branch Control Of The Upfc, Ganesh K. Venayagamoorthy, Radha P. Kalyani
Electrical and Computer Engineering Faculty Research & Creative Works
The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) provides an effective means for controlling the power flow and improving the transient stability in a power network. The UPFC has fast complex dynamics and its conventional control is based on a linearized model of the power system. This paper presents the design of a neurocontroller that controls the power flow and regulates voltage along a transmission line. The continually online neurocontroller is used for controlling the series inverter of UPFC. Simulation results carried out in the PSCAD/EMTDC environment are presented …
A Discrete-Time Model For Spatio-Temporally Correlated Mimo Wssus Multipath Channels, Chengshan Xiao, Jingxian Wu, Sang-Yick Leong, Y. Rosa Zheng, Khaled Ben Letaief
A Discrete-Time Model For Spatio-Temporally Correlated Mimo Wssus Multipath Channels, Chengshan Xiao, Jingxian Wu, Sang-Yick Leong, Y. Rosa Zheng, Khaled Ben Letaief
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a statistical discrete-time model is proposed for simulating wideband MIMO channels which experience spatially and temporally correlated, widesense stationary uncorrelated scattering (WSSUS) multipath Rayleigh fading. A new method is also presented to efficiently generate the correlated MIMO channel coefficients, which can be used for accurate simulation of physical continuous-time MIMO channel. The statistic accuracy of the discrete-time MIMO channel model is rigorously verified through theoretical analysis and extensive simulations in different criteria.
A Dynamic Model Of Induction Generators For Wind Power Studies, Badrul H. Chowdhury, Srinivasa R. Chellapilla
A Dynamic Model Of Induction Generators For Wind Power Studies, Badrul H. Chowdhury, Srinivasa R. Chellapilla
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents an induction generator model that can be used for simulations to investigate and evaluate the control strategies for variable speed operation of doubly fed induction generators driven by wind turbines in transient conditions. The model makes use of rotor reference frame.
A Heuristic Dynamic Programming Based Power System Stabilizer For A Turbogenerator In A Single Machine Power System, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch
A Heuristic Dynamic Programming Based Power System Stabilizer For A Turbogenerator In A Single Machine Power System, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp the low frequency power system oscillations. To overcome the drawbacks of conventional PSS (CPSS), numerous techniques have been proposed in the literature. Based on the analysis of existing techniques, a novel design of power system stabilizer (PSS) based on heuristic dynamic programming (HDP) is proposed in this paper. HDP combining the concepts of dynamic programming and reinforcement learning is used in the design of a nonlinear optimal power system stabilizer. The proposed HDP based PSS is evaluated against the conventional power …
A Novel Dual Heuristic Programming Based Optimal Control Of A Series Compensator In The Electric Power Transmission System, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
A Novel Dual Heuristic Programming Based Optimal Control Of A Series Compensator In The Electric Power Transmission System, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the dual heuristic programming (DHP) optimization algorithm is used for the design of a nonlinear optimal neurocontroller that replaces the proportional-integral (PI) based conventional linear controller (CONVC) in the internal control of a power electronic converter based series compensator in the electric power transmission system. The performance of the proposed DHP based neurocontroller is compared with that of the CONVC with respect to damping low frequency oscillations. Simulation results using the PSCAD/EMTDC software package are presented.
A Study Of The Probe Induced Disturbances On The Near-Field Measurement, Jin Shi, Richard E. Dubroff, Kevin P. Slattery, Masahiro Yamaguchi, K.-I. Arai
A Study Of The Probe Induced Disturbances On The Near-Field Measurement, Jin Shi, Richard E. Dubroff, Kevin P. Slattery, Masahiro Yamaguchi, K.-I. Arai
Electrical and Computer Engineering Faculty Research & Creative Works
Numerical simulations were used to investigate the disturbance introduced by placing a small magnetic loop probe in the near field of a driven loop. In the absence of the loop probe, the numerical simulations were compared with an approximate closed-form analytical expression for the magnetic field produced by the driven loop. The agreement between the approximate analytical results and the simulation was good. The next set of simulations was based on a physical model that included the probe and showed that the probe does exert an effect on the field being measured. Examples of these simulations and their implications on …
Adaptive Critic Design Based Neurocontroller For A Statcom Connected To A Power System, Salman Mohagheghi, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Adaptive Critic Design Based Neurocontroller For A Statcom Connected To A Power System, Salman Mohagheghi, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system using artificial neural networks is presented in this paper. The heuristic dynamic programming (HDP), a member of the adaptive critic designs (ACDs) family, is used for the design of the STATCOM neurocontroller. This neurocontroller provides nonlinear optimal control with better performance compared to the conventional PI controllers.
Adaptive Critic Designs And Their Implementations On Different Neural Network Architectures, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Adaptive Critic Designs And Their Implementations On Different Neural Network Architectures, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
The design of nonlinear optimal neurocontrollers based on the Adaptive Critic Designs (ACDs) family of algorithms has recently attracted interest. This paper presents a summary of these algorithms, and compares their performance when implemented on two different types of artificial neural networks, namely the multilayer perceptron neural network (MLPNN) and the radial basis function neural network (RBFNN). As an example for the application of the ACDs, the control of synchronous generator on an electric power grid is considered and results are presented to compare the different ACD family members and their implementations on different neural network architectures.
Definition Of A Robustness Metric For Resource Allocation, Shoukat Ali, A. A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim
Definition Of A Robustness Metric For Resource Allocation, Shoukat Ali, A. A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim
Electrical and Computer Engineering Faculty Research & Creative Works
Parallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions of this paper are (1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against perturbations in system and environmental conditions, and (2) a procedure for deriving a robustness metric …
Electrochemical And Hydrodynamic Interferences On The Performance Of An Oxygen Microsensor With Built-In Electrochemical Microactuator, Chang-Soo Kim, Chae-Hyang Lee
Electrochemical And Hydrodynamic Interferences On The Performance Of An Oxygen Microsensor With Built-In Electrochemical Microactuator, Chang-Soo Kim, Chae-Hyang Lee
Electrical and Computer Engineering Faculty Research & Creative Works
An in situ self-diagnostic technique for a dissolved oxygen microsensor is proposed in an effort to devise an intelligent microsensor system with an integrated electro-chemical actuation electrode. With a built-in platinum microelectrode that surrounds the microsensor, two kinds of microenvironments (oxygen-saturated or oxygen-depleted phases) can be created by water electrolysis depending on the polarity. The functionality of the microsensor can be checked during these microenvironment phases. The polarographic oxygen microsensor is fabricated on a flexible polyimide substrate (Kapton/sup ©/) and the influences of electrochemical and hydrodynamic conditions on the sensor responses have been investigated.
Evolving Digital Circuits Using Particle Swarm, Ganesh K. Venayagamoorthy, Venu Gopal Gudise
Evolving Digital Circuits Using Particle Swarm, Ganesh K. Venayagamoorthy, Venu Gopal Gudise
Electrical and Computer Engineering Faculty Research & Creative Works
Particle swarm optimization (PSO) motivated by the social behavior of organisms is proposed for evolution of combinational logic circuits. Results are presented to show that PSO based evolution of digital circuits are equivalent to or even with better solutions (with minimum number of logic gates) than that of a human designer and other genetic algorithm (GA) based techniques. This PSO based approach converges faster than other approaches reported in literature using genetic algorithms and as a result the computational intensity involved in hardware evolution is reduced. Examples taken from the literature are used to evaluate the performance of the proposed …
Fdtd Data Extrapolation Using Multilayer Perceptron (Mlp), H. Goksu, David Pommerenke, Donald C. Wunsch
Fdtd Data Extrapolation Using Multilayer Perceptron (Mlp), H. Goksu, David Pommerenke, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
This work compares MLP with the matrix pencil method, a linear eigenanalysis-based extrapolator, in terms of their effectiveness in finite difference time domain (FDTD) data extrapolation. Matrix pencil method considers the signal as superposed complex exponentials while MLP considers each time step to be a nonlinear function of previous time steps.