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Articles 811 - 840 of 3518
Full-Text Articles in Engineering
Genotype Combinations Linked To Phenotype Subgroups In Autism Spectrum Disorders, Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi
Genotype Combinations Linked To Phenotype Subgroups In Autism Spectrum Disorders, Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
This paper investigates a computational model that allows for systematic comparison of phenotype data with genotype (Single Nucleotide Polymorphisms (SNPs)) data based on machine learning techniques to identify discriminant genotype markers associated with the phenotypic subgroups. The proposed discriminant SNP identifier model is empirically evaluated using Autism Spectrum Disorder (ASD) simplex sample. Six phenotype markers were selected to cluster the sample in a hexagonal lattice format yielding five multidimensional subgroups based on extremities of the phenotype markers. The SNP selection model includes random subspace selection of SNPs in conjunction with feature selection algorithms to determine which set of SNPs were …
Spatially Continuous Strain Monitoring Using Distributed Fiber Optic Sensors Embedded In Carbon Fiber Composites, Sasi Jothibasu, Yang Du, Sudharshan Anandan, Gurjot S. Dhaliwal, Rex E. Gerald Ii, Steve Eugene Watkins, K. Chandrashekhara, Jie Huang
Spatially Continuous Strain Monitoring Using Distributed Fiber Optic Sensors Embedded In Carbon Fiber Composites, Sasi Jothibasu, Yang Du, Sudharshan Anandan, Gurjot S. Dhaliwal, Rex E. Gerald Ii, Steve Eugene Watkins, K. Chandrashekhara, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
A distributed fiber optic strain sensor based on Rayleigh backscattering, embedded in a fiber-reinforced polymer composite, has been demonstrated. The optical frequency domain reflectometry technique is used to analyze the backscattered signal. The shift in the Rayleigh backscattered spectrum is observed to be linearly related to the change in strain of the composite material. The sensor (standard single-mode fiber) is embedded between the layers of the composite laminate. A series of tensile loads is applied to the laminate using an Instron testing machine, and the corresponding strain distribution of the laminate is measured. The results show a linear response indicating …
Stochastic Resonance Enables Bpp/Log∗ Complexity And Universal Approximation In Analog Recurrent Neural Networks, Emmett Redd, A. Steven Younger, Tayo Obafemi-Ajayi
Stochastic Resonance Enables Bpp/Log∗ Complexity And Universal Approximation In Analog Recurrent Neural Networks, Emmett Redd, A. Steven Younger, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
Stochastic resonance (SR) is a natural process that without limit increases the precision of signal measurements in biological and physical sciences. Most artificial neural networks (NNs) are implemented on digital computers of fixed precision. A NN accessing universal approximation and a computational complexity class more powerful that of a Turing machine needs analog signals utilizing SR's limitless precision increase. This paper links an analog recurrent (AR) NN theorem, SR, BPP/log∗ (a physically realizable, super-Turing computation class), and universal approximation so NNs following them can be made computationally more powerful. An optical neural network mimicking chaos indicates super-Turing computation has been …
Recurrent Network And Multi-Arm Bandit Methods For Multi-Task Learning Without Task Specification, Thy Nguyen, Tayo Obafemi-Ajayi
Recurrent Network And Multi-Arm Bandit Methods For Multi-Task Learning Without Task Specification, Thy Nguyen, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
This paper addresses the problem of multi-task learning (MTL) in settings where the task assignment is not known. We propose two mechanisms for the problem of inference of task's parameter without task specification: parameter adaptation and parameter selection methods. In parameter adaptation, the model's parameter is iteratively updated using a recurrent neural network (RNN) learner as the mechanism to adapt to different tasks. For the parameter selection model, a parameter matrix is learned beforehand with the task known apriori. During testing, a bandit algorithm is utilized to determine the appropriate parameter vector for the model on the fly. We explored …
Comparative Analysis Of Feature Selection Methods To Identify Biomarkers In A Stroke-Related Dataset, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta
Comparative Analysis Of Feature Selection Methods To Identify Biomarkers In A Stroke-Related Dataset, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta
Electrical and Computer Engineering Faculty Research & Creative Works
This paper applies machine learning feature selection techniques to the REGARDS stroke-related dataset to identify health-related biomarkers. A data-driven methodological framework is presented to evaluate multiple feature selection methods. In applying the framework, three classifiers are chosen in conjunction with two wrappers, and their performance with diverse classification targets such as Current Smoker, Current Alcohol Use, and Deceased is evaluated. The performance across logistic regression, random forest and naïve Bayes classifier methods, as quantified by the ROC Area Under Curve metric and selected features, was similar. However, significant differences were observed in running time. Performance of the selected features was …
A Novel Data-Driven Analysis Method For Nonlinear Electromagnetic Radiations Based On Dynamic Mode Decomposition, Yanming Zhang, Lijun Jiang
A Novel Data-Driven Analysis Method For Nonlinear Electromagnetic Radiations Based On Dynamic Mode Decomposition, Yanming Zhang, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
Nonlinear effects generated in complex electronic systems such as cell phones and computers cause broadband electromagnetic radiations. They are very difficult to model but could be key contributors to the radiated spurious emission (RSE) and radio frequency interference (RFI). In this paper, a novel data-driven characterization method is proposed to analyze the transient responses of the nonlinear circuits and their nonlinear electromagnetic radiations. It employs the dynamic mode decomposition (DMD) to simultaneously extract the temporal patterns and their corresponding dynamic modes. The temporal patterns show high order harmonics generated by the nonlinearity. Then these temporal spatial coherent patterns could provide …
Analysis Of Sea Clutter Using Dynamic Mode Decomposition, Yanming Zhang, Lijun Jiang, Hong Tat Ewe
Analysis Of Sea Clutter Using Dynamic Mode Decomposition, Yanming Zhang, Lijun Jiang, Hong Tat Ewe
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a novel method based on a dynamic mode decomposition (DMD) for sea clutter analysis is proposed. It extracts the temporal patterns and corresponding dynamic modes from the sea clutter simultaneously. Moreover, the temporal patterns display similar properties with traditional analysis using Doppler spectrum. The corresponding dynamic modes represent the cardinal feature within the sea clutter. To demonstrate the effectiveness of the proposed method, the measured sea clutter data collected by IPIX radar is analyzed. It is shown that DMD spectrum has the same frequency-shift and similar amplitude with the Doppler Spectrum. In addition, the Probability Density Function …
Distributed State Estimation By Using Active-Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen
Distributed State Estimation By Using Active-Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a novel adaptive observer for heterogeneous sensor networks (HSNs) to estimate state vector of an unknown target or process by using the sensed output when the input to the target/process is also not known. In an HSN, nodes are considered either active or passive depending upon their ability to sense the target output. The local information exchange among the nodes is dictated by a connected graph. By using the criterion of collective observability, a novel distributed adaptive estimation is introduced where the nodes are allowed to have different sensor modalities. Stability analysis shows uniform ultimate boundedness of …
Switching Dynamics And Conductance Quantization Of Aloe Polysaccharides-Based Device, Z. X. Lim, I. A. Tayeb, Z. A.A. Hamid, M. F. Ain, A. M. Hashim, J. M. Abdullah, F. Zhao, K. Y. Cheong
Switching Dynamics And Conductance Quantization Of Aloe Polysaccharides-Based Device, Z. X. Lim, I. A. Tayeb, Z. A.A. Hamid, M. F. Ain, A. M. Hashim, J. M. Abdullah, F. Zhao, K. Y. Cheong
Electrical and Computer Engineering Faculty Research & Creative Works
The switching behaviors of polysaccharides-based resistive random-access memories change substantially depending on the electrical inputs. Here, the switching dynamics of the device are presented by varying the applied current compliance (CC) and voltage sweeping rate (ν). The results show that the device resistance in the low-resistance state (RLRS) can be modulated over five orders of magnitude by varying (CC) and ν in the typical current-voltage measurements. The (RLRS) modulation is attributed to the variable tunneling gap between the filament tip and the top electrode (TE). Conductance quantization is observed once a single-atomic contact with resistance ≤12.9kΩ is formed. Depending on …
Impedance Mismatch Effects In Microstrip And Stripline Ebg Common-Mode Filters, Marina Y. Koledintseva, Sergiu Radu, Joe Nuebel
Impedance Mismatch Effects In Microstrip And Stripline Ebg Common-Mode Filters, Marina Y. Koledintseva, Sergiu Radu, Joe Nuebel
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, impedance mismatch effects on the characteristics of common-mode (CM) electromagnetic bandgap (EBG) filters are studied using 3D full-wave numerical simulations. Herein, the terminations are fixed at 50 Ohms, and the effect of the differential line impedance variations are studied. Two types of CM EBG filters are considered in this work, both are designed using standard printed circuit board technology. The first group contains microstrip (MS) differential pairs running above the EBG plane, and the second group contains strip line (SL) differential pairs running on one of the layers next to the EBG plane. It is shown that …
Multi-Objective Optimization Approach To Find Biclusters In Gene Expression Data, Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi
Multi-Objective Optimization Approach To Find Biclusters In Gene Expression Data, Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
Gene expression levels of organisms are measured by DNA microarrays. Finding biclusters in gene expression matrices provides invaluable information about effects of disease at the genetic level. These biclusters could identify which genes are up-regulated/down-regulated under certain conditions. This paper investigates a methodology for evolutionary-based biclustering using the NSGA-II algorithm. It also presents an improvement to the recovery and relevance external validation metrics as well as a new method for synthetic data generation for biclustering. Results obtained demonstrate its effectiveness in discovering useful biclusters on varied synthetic data when applied with the average Spearman's rho measure as the fitness function.
Event-Triggered Adaptive Distributed State Estimation By Using Active-Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen
Event-Triggered Adaptive Distributed State Estimation By Using Active-Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a novel event-triggered adaptive observer for each node in the heterogeneous sensor networks (HSNs) in order to estimate state vector of an unknown target or process by using the sensed output when the input to the target/ process is unknown. A subset of nodes in the HSN referred to as active nodes, can sense the target periodically, estimate the target state vector by using their adaptive observer and can communicate the estimated state vector of the target with the neighboring nodes including passive nodes only at event triggered instants. The adaptive observer parameters of active nodes are …
Distributed Fiber-Optic Pressure Sensor Based On Bourdon Tubes Metered By Optical Frequency-Domain Reflectometry, Chen Zhu, Yiyang Zhuang, Yizhen Chen, Rex E. Gerald Ii, Jie Huang
Distributed Fiber-Optic Pressure Sensor Based On Bourdon Tubes Metered By Optical Frequency-Domain Reflectometry, Chen Zhu, Yiyang Zhuang, Yizhen Chen, Rex E. Gerald Ii, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
We report a distributed fiber-optic pressure sensor based on Bourdon tubes using Rayleigh backscattering metered by optical frequency-domain reflectometry (OFDR). In the proposed sensor, a piece of single-mode fiber (SMF) is attached to the concave surfaces of Bourdon tubes using a thin layer of epoxy. The strain profiles along the concave surface of the Bourdon tube vary with applied pressure, and the strain variations are transferred to the attached SMF through the epoxy layer, resulting in spectral shifts in the local Rayleigh backscattering signals. By monitoring the local spectral shifts of the OFDR system, the pressure applied to the Bourdon …
Fully Adaptive Cloud Profiling Radar Simulation, J. Delong, M. A. Shattal, A. O'Brien, C. D. Ball, J. T. Johnson, G. E. Smith
Fully Adaptive Cloud Profiling Radar Simulation, J. Delong, M. A. Shattal, A. O'Brien, C. D. Ball, J. T. Johnson, G. E. Smith
Electrical and Computer Engineering Faculty Research & Creative Works
This paper demonstrates how the fully adaptive radar framework can be applied to cloud profiling radars. A simulation based on the GEOS5 nature run dataset is introduced in which the cloud profiling radar continuously adapts its pulse repetition frequency (PRF) such that the unambiguous range is 1.2 times the cloud column height. This process maximizes the (PRF) which would in turn maximize the unambiguous velocity estimate.
Real‐Time Overhead Power Line Sag Monitoring, Jie Huang, Rui Bo
Real‐Time Overhead Power Line Sag Monitoring, Jie Huang, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
System and method for determining real-time sag and shape information of an electrical power line based on strain distribution along a length of an optical fiber associated with the power line. An embedded fiber coupled to an overhead transmission line measures strain using the backscatter of an optical signal, the optical signal is then interrogated using an interferometer.
Post Deposition Annealing Effect On Properties Of Y 2 O 3 /Al 2 O 3 Stacking Gate Dielectric On 4h-Sic, Feng Zhao, Oliver Amnuayphol, Kuan Yew Cheong, Yew Hoong Wong, Jheng Yi Jiang, Chih Fang Huang
Post Deposition Annealing Effect On Properties Of Y 2 O 3 /Al 2 O 3 Stacking Gate Dielectric On 4h-Sic, Feng Zhao, Oliver Amnuayphol, Kuan Yew Cheong, Yew Hoong Wong, Jheng Yi Jiang, Chih Fang Huang
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the effect of post deposition annealing (PDA) on the chemical, structural, and electrical properties of the high-kY2O3 /Al2O3 stacking dielectric on p-type 4H-SiC were studied. High-k dielectric provides a physically thicker film with equivalent capacitance, therefore better exploits the high breakdown strength of 4H-SiC in its MOSFET devices. The Y2O3 /Al2O3 stacking films were deposited using RF magnetron sputtering, with PDA in Ar ambient at 400 °C, 600 °C, 800 °C and 1000 °C. X-ray diffraction (XRD) and angle resolved X-ray photoelectron spectroscopy (XPS) results …
Systems And Methods For Single-Element Beam Steering Antennas, Haozhan Tian, Lijun Jiang, Tatsuo Itoh
Systems And Methods For Single-Element Beam Steering Antennas, Haozhan Tian, Lijun Jiang, Tatsuo Itoh
Electrical and Computer Engineering Faculty Research & Creative Works
Systems and methods for single element beam steering antennas are provided. One embodiment includes: a first and second radiating resonant cavities, where the first and second radiating resonant cavities are coupled together; and at least one tunable component; where the first and second radiating resonant cavities, and the at least one tunable component are configured, in combination, to form a beam toward a desired direction, and where the at least one tunable component is configured to set the desired direction by an application of a bias voltage on the at least one tunable component.
Antennas And Related Methods For Realizing Endfire Radiation With Vertical Polarization, Haozhan Tian, Lijun Jiang, Tatsuo Itoh
Antennas And Related Methods For Realizing Endfire Radiation With Vertical Polarization, Haozhan Tian, Lijun Jiang, Tatsuo Itoh
Electrical and Computer Engineering Faculty Research & Creative Works
Apparatus and systems for antennas for end fire radiation with vertical polarization are described. In an embodiment, an antenna includes a top patch, a ground substrate defining a hole, a feeding cable disposed to mate with the hole, two coupled radiating resonant cavities having two eigen-modes, where the coupled radiating resonant cavities are configured to form a beam, and where the antenna is configured for end fire radiation with vertical polarization.
Novel And Efficient Parasitic Decoupling Network For Closely Coupled Antennas, Min Li, Lijun Jiang, Kwan Lawrence Yeung
Novel And Efficient Parasitic Decoupling Network For Closely Coupled Antennas, Min Li, Lijun Jiang, Kwan Lawrence Yeung
Electrical and Computer Engineering Faculty Research & Creative Works
A novel and efficient parasitic decoupling network (PDN) is proposed for closely coupled antennas in this paper, which provides a new perspective and approach to design DNs based on the parasitic decoupling concept. The PDN is composed of sections of transmission lines (TLs) and reactive components, allowing additional power-traveling paths. With the TL lengths and reactive component reactance being precisely determined, the traveling power from one antenna to another could cancel out the undesired power wave induced by mutual coupling, resulting in the high port isolation. The decoupling theory is rigorously derived with the design procedure of the PDN systematically …
Source Reconstruction Method Based On Machine Learning Algorithms, He Ming Yao, Lijun Jiang, Wei E.I. Sha
Source Reconstruction Method Based On Machine Learning Algorithms, He Ming Yao, Lijun Jiang, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a new source reconstruction method (SRM) based on deep learning. The conventional SRM usually requires oversampled measurements data to ensure higher accuracy. Thus, conventional SRM numerical system is usually highly singular. A deep convolutional neural network (ConvNet) is proposed to reconstruct the equivalent sources of the target to overcome difficulty. The deep ConvNet allows us to employ less data samples. Besides, the ill-conditioned numerical system can be effectively avoided. Numerical examples are presented to demonstrate the feasibility and accuracy of the proposed method. Its performance is also compared with the traditional neural network and interpolation method. Moreover, …
A Phenomenological Model Of Non-Linear Loss In Ferrimagnetic Frequency-Selective Limiters, Anatoliy Boryssenko, Scott Gillette, Marina Koledintseva
A Phenomenological Model Of Non-Linear Loss In Ferrimagnetic Frequency-Selective Limiters, Anatoliy Boryssenko, Scott Gillette, Marina Koledintseva
Electrical and Computer Engineering Faculty Research & Creative Works
Operation of ferrimagnetic frequency-selective limiters (FSL) is based on non-linear absorption in magnetized ferrite films at RF/microwave power levels exceeding some threshold. A new phenomenological model of non-linear loss in a ferrite medium has been proposed, and it has been implemented in an efficient numerical algorithm for an FSL performance prediction.
Silicon Nitride Stress Liner Impacts On The Electrical Characteristics Of Algan/Gan Hemts, Wei Chih Cheng, Tao Fang, Siqi Lei, Yunlong Zhao, Minghao He, Mansun Chan, Guangrui Maggie Xia, Feng Zhao, Hongyu Yu
Silicon Nitride Stress Liner Impacts On The Electrical Characteristics Of Algan/Gan Hemts, Wei Chih Cheng, Tao Fang, Siqi Lei, Yunlong Zhao, Minghao He, Mansun Chan, Guangrui Maggie Xia, Feng Zhao, Hongyu Yu
Electrical and Computer Engineering Faculty Research & Creative Works
Due to the piezoelectric nature of GaN, the two-dimensional electron gas (2DEG) in AlGaN/GaN high electron mobility transistor (HEMT) could be engineered by strain. In this work, SiNx deposited using dual-frequency plasma-enhanced chemical vapor deposition (PECVD) was used as a stressor. The output performance of the devices was dominated by the surface passivation instead of the strain effect. However, the threshold voltage was increased by the liner-induced strain, supporting strain engineering as an effective approach to pursue the normally-off operation of AlGaN/GaN HEMTs.
Theoretical Analysis And Experimental Realization Of Highly Effective Acceptor Ionization In Gan Via Mg Co-Doped With 4d-Element (In), Zhiqiang Liu, Xiaoyan Yi, Junxi Wang, Ian Ferguson, Na Lu, Jinmin Li
Theoretical Analysis And Experimental Realization Of Highly Effective Acceptor Ionization In Gan Via Mg Co-Doped With 4d-Element (In), Zhiqiang Liu, Xiaoyan Yi, Junxi Wang, Ian Ferguson, Na Lu, Jinmin Li
Electrical and Computer Engineering Faculty Research & Creative Works
In this work, we clarify the underlying physics and the acceptor ionization process in the In-Mg co-doping GaN. The fundamental understandings are also applicable for other co-doping nitride systems. We show the effective acceptors ionization stems mainly from the band structure tuning effect of the 4d orbitals of In atoms. In addition, temperature dependent defect-related photoluminescence analysis was proposed to examine the energy position of Mg impurity levels, which is crucially important in the design for high p-doping. Finally, a hole concentration, which is nearly one order of magnitude higher than what is typically achievable by direct Mg-doping, was achieved.
Analysis Of The Topological Photonic Crystals Using Finite-Difference Supercell Approach, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Zhihao Lan, Wei E.I. Sha
Analysis Of The Topological Photonic Crystals Using Finite-Difference Supercell Approach, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Zhihao Lan, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
Topological photonic systems have been explored extensively due to the robust electromagnetic states they support. In this work, we propose a finite-difference supercell approach to analyze the topological property of photonic crystal (PC) structures. Meanwhile, the pseudospin polarized edge states at the interface of two PC structures with different topologies are studied. The direction of the energy flow is found to be determined by the helicity of the pseudospin polarization.
Fault Detection And Estimation For A Class Of Nonlinear Distributed Parameter Systems, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan
Fault Detection And Estimation For A Class Of Nonlinear Distributed Parameter Systems, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a new model-based fault detection and estimation framework for a class of multi-input and multi-output (MIMO) nonlinear distributed parameter systems (DPS) described by partial differential equations (PDE) with actuator and sensor faults. The fault functions cover both abrupt and incipient faults. A Luenberger type observer is used to monitor the health of the DPS as a detection observer on the basis of the nonlinear PDE representation of the system with measured output vector. By taking the difference between measured and estimated outputs from this observer, a residual signal is generated for fault detection. If the detection residual …
Design And Fabrication Of Algaas-Based 1.8ev Schottky Solar Cell, Amirhossein Ghods, Vishal Saravade, Andrew Woode, Chuanle Zhou, Ian T. Ferguson
Design And Fabrication Of Algaas-Based 1.8ev Schottky Solar Cell, Amirhossein Ghods, Vishal Saravade, Andrew Woode, Chuanle Zhou, Ian T. Ferguson
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, Schottky junction solar cells fully based on Al0.3Ga0.7As with optical band gap energy of 1.8 eV are designed, fabricated, and characterized. In solar cells based on AlGaAs/GaAs heterostructure, AlGaAs is mostly used as window or electron barrier layer, while GaAs is used as active photon absorbing layer. This work is among the first reports of AlGaAs based Schottky solar cells. AlGaAs/GaAs heterojunction grown using molecular beam epitaxy (MBE) is used for fabrication of photovoltaic devices. Photovoltaic properties of solar cells are reported, along with experimental details of device fabrication and characterization. The optimized bandgap energy of 1.8eV …
Effect Of Gate Voltage On The Photovoltaic Performance Of Gaas-Based Schottky Junction Solar Cells, Amirhossein Ghods, Vishal Saravade, Andrew Woode, Chuanle Zhou, Ian T. Ferguson
Effect Of Gate Voltage On The Photovoltaic Performance Of Gaas-Based Schottky Junction Solar Cells, Amirhossein Ghods, Vishal Saravade, Andrew Woode, Chuanle Zhou, Ian T. Ferguson
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the effect of external gate voltage on GaAs-based metal-semiconductor (MS) Schottky solar cells is investigated. Subsequent changes in photovoltaic characteristic properties of the solar cells are extracted, reported and explained. Under positive gate voltages, the open-circuit voltage and short-circuit current density measured at collector are significantly increased due to the drift of holes from gate junction to the collector (forward bias condition of gate junction). However, there is slight increase in open-circuit voltage under reverse gate voltages, where only thermally generated electrons drift toward the collector junction. Moreover, negative gate voltage on insulated gate contact has resulted …
Data-Driven Integral Reinforcement Learning For Continuous-Time Non-Zero-Sum Games, Yongliang Yang, Liming Wang, Hamidreza Modares, Dawei Ding, Yixin Yin, Donald C. Wunsch
Data-Driven Integral Reinforcement Learning For Continuous-Time Non-Zero-Sum Games, Yongliang Yang, Liming Wang, Hamidreza Modares, Dawei Ding, Yixin Yin, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
This paper develops an integral value iteration (VI) method to efficiently find online the Nash equilibrium solution of two-player non-zero-sum (NZS) differential games for linear systems with partially unknown dynamics. To guarantee the closed-loop stability about the Nash equilibrium, the explicit upper bound for the discounted factor is given. To show the efficacy of the presented online model-free solution, the integral VI method is compared with the model-based off-line policy iteration method. Moreover, the theoretical analysis of the integral VI algorithm in terms of three aspects, i.e., positive definiteness properties of the updated cost functions, the stability of the closed-loop …
Monitoring Of Cure State Through The Use Of Microwaves, David Judd, Frank Gramling, Reza Zoughi, Mohammad Tayeb Ahmad Ghasr
Monitoring Of Cure State Through The Use Of Microwaves, David Judd, Frank Gramling, Reza Zoughi, Mohammad Tayeb Ahmad Ghasr
Electrical and Computer Engineering Faculty Research & Creative Works
A method of manufacturing a tire is provided that includes curing the tire (10) in a curing press (12) and applying microwave energy at a given frequency band into the tire. The interaction between the microwave energy and the tire is monitored to obtain a complex reflection coefficient. A root-mean-squared error is calculated using the measured complex reflection coefficient and a reference reflection coefficient. The reference reflection coefficient is from a fully cured tire made from the same material as the tire. Continuous monitoring of the interaction takes place to obtain the complex reflection coefficient along …
Investigation Of The Optical Properties Of Insb Thin Films Grown On Gaas By Temperature-Dependent Spectroscopic Ellipsometry, Yuanlan Liang, Fangze Wang, Xuguang Luo, Qingxuan Li, Tao Lin, Ian T. Ferguson, Qingyi Yang, Lingyu Wan, Zhe Chuan Feng
Investigation Of The Optical Properties Of Insb Thin Films Grown On Gaas By Temperature-Dependent Spectroscopic Ellipsometry, Yuanlan Liang, Fangze Wang, Xuguang Luo, Qingxuan Li, Tao Lin, Ian T. Ferguson, Qingyi Yang, Lingyu Wan, Zhe Chuan Feng
Electrical and Computer Engineering Faculty Research & Creative Works
InSb thin films were grown on GaAs substrates by metal organic chemical vapor deposition (MOCVD) and investigated by temperature-dependent spectroscopic ellipsometry (TD-SE). The refractive index, extinction coefficient, and dielectric function of the InSb films were extracted. The variation of critical point energies (E 1 , E 1 +Δ 1 , E 2 , E1') related to the excited state transitions of InSb and the second energy derivatives of the dielectric function at different temperatures showed that the InSb thin film had high electrical and optical stability at the evaluated temperatures. TD-SE analysis revealed a temperature range suitable for the use …