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Electrical and Computer Engineering Faculty Research & Creative Works

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Articles 931 - 960 of 3518

Full-Text Articles in Engineering

Machine Learning Based Neural Network Solving Methods For The Fdtd Method, He Ming Yao, Li (Lijun) Jun Jiang Jan 2018

Machine Learning Based Neural Network Solving Methods For The Fdtd Method, He Ming Yao, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, two novel computational processes are proposed to solve Finite-Difference Time-Domain (FDTD) based on machine learning deep neural networks. The field and boundary conditions are employed to establish recurrent neural network FDTD (RNN-FDTD) model and convolution neural network FDTD (CNN-FDTD) model respectively. Numerical examples from scalar wave equations are provided to benchmark the performance of the proposed methods. The results demonstrate that the newly proposed methods could solve FDTD steps with satisfactory accuracy. According to our knowledge, these are unreported new approaches for machine learning based FDTD solving methods.

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Containment Control Of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach, Yongliang Yang, Shusen Cheng, Yixin Yin, Donald C. Wunsch Jan 2018

Containment Control Of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach, Yongliang Yang, Shusen Cheng, Yixin Yin, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a distributed optimal model reference adaptive control approach for solving containment control of heterogeneous multi-agent systems (MASs) with non-autonomous leaders. First, a fully distributed adaptive observer is designed to provide for each agent the desired reference trajectory by estimating the convex hull spanned by leaders. The distributed observer dynamics serves as a reference model for each follower to synchronize. The global communication graph information or the leader dynamics is not required to design the observer. In contrast to existing model reference adaptive controllers (MRAC) for single-agent systems and containment control solutions for MASs, the proposed MRAC approach …

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Room Temperature Ferromagnetism In Gadolinium-Doped Gallium Nitride, Vishal G. Saravade, Cameron H. Ferguson, Amirhossein Ghods, Chuanle Zhou, Ian T. Ferguson Jan 2018

Room Temperature Ferromagnetism In Gadolinium-Doped Gallium Nitride, Vishal G. Saravade, Cameron H. Ferguson, Amirhossein Ghods, Chuanle Zhou, Ian T. Ferguson

Electrical and Computer Engineering Faculty Research & Creative Works

Anomalous Hall effect was observed at room temperature in MOCVD-grown GaGdN from a (TMHD)3Gd source, which can contain oxygen in its organic ligand. GaN, and GaGdN grown using a Cp3Gd precursor which does not contain oxygen only showed the ordinary Hall effect. This indicates that oxygen could have a role in magnetic properties of GaGdN. The relationship between the anomalous Hall conductivity and longitudinal conductivity indicated that metallic conduction, hopping of carriers, and scattering-independent mechanisms are likely responsible for the ferromagnetism. However, this still requires further clarification.

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Outsmart Moore’S Law With Machine Learning, Dustin Tanksley, Donald C. Wunsch Jan 2018

Outsmart Moore’S Law With Machine Learning, Dustin Tanksley, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Over the last half century, computing has transformed most aspects of society due to a rapid increase in computation power. With the possible end of Moore’s Law in sight, much of this growth could come to an end. This paper will discuss why machine learning will continue growing even after Moore’s Law, and demonstrate why it is a great time to enter the field.

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Ferrite Assisted Geometry-Conformal Magnetic Induction Antenna And Subsea Communications For Auvs, Debing Wei, Li Yan, Xuanheng Li, Jie Wang, Jiefu Chen, Miao Pan, Yahong Rosa Zheng Jan 2018

Ferrite Assisted Geometry-Conformal Magnetic Induction Antenna And Subsea Communications For Auvs, Debing Wei, Li Yan, Xuanheng Li, Jie Wang, Jiefu Chen, Miao Pan, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

This paper designs a novel geometry-conformal antenna for Magnetic Induction (MI)-based subsea wireless communications for autonomous underwater vehicles (AUV). The designed tri-directional antennas can be wrapped directly on the surface of AUVs, such that the AUVs fluid dynamics are well maintained to ensure power efficiency of the vehicles. In addition, ferrite materials are added between the MI antenna and the metallic body surface of the AUVs to overcome the shielding effect and enhance the MI signal strength. The designed MI communication system is implemented in hardware and the effectiveness of the geometry-conformal MI antenna is demonstrated through COMSOL simulations and …

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Applying Convolutional Neural Networks For The Source Reconstruction, He Ming Yao, Wei E.I. Sha, Li (Lijun) Jun Jiang Jan 2018

Applying Convolutional Neural Networks For The Source Reconstruction, He Ming Yao, Wei E.I. Sha, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel source reconstruction method (SRM) based on the convolutional neural network algorithm. The conventional SRM method usually requires the scattered field data oversampled compared to that of target object grids. To achieve higher accuracy, the conventional SRM numerical system is highly singular. To overcome these difficulties, we model the equivalent source reconstruction process using the machine learning. The equivalent sources of the target are constructed by a convolutional neural networks (ConvNets). It allows us to employ less scattered field samples or radar cross section (RCS) data. And the ill-conditioned numerical system is effectively avoided. Numerical examples …

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Application-Adaptable Chipless Rfid Tag, Katelyn Brinker, Reza Zoughi Jan 2018

Application-Adaptable Chipless Rfid Tag, Katelyn Brinker, Reza Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

Chipless RFID has gained prominence due to its application versatility and cost and complexity advantages over traditional RFID. However, chipless RFID tags are typically designed for a specific application instead of being deployable for a multitude of applications. In this paper, a new approach to adaptable chipless RFID tag is proposed that can be optimized for a variety of applications, including materials characterization with tags as embedded sensors. Additionally, the designed approach renders tags that can be interrogated with a linearly polarized probe and achieves bit densities up to 27.57 bits/cm 2,

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Synchrotron Radiation X-Ray Absorption Spectroscopy And Spectroscopic Ellipsometry Studies Of Insb Thin Films On Gaas Grown By Metalorganic Chemical Vapor Deposition, Yingda Qian, Yuanlan Liang, Xuguang Luo, Kaiyan He, Wenhong Sun, Hao Hsiung Lin, Devki N. Talwar, Ting Shan Chan, Ian Ferguson, Lingyu Wan, Qingyi Yang, Zhe Chuan Feng Jan 2018

Synchrotron Radiation X-Ray Absorption Spectroscopy And Spectroscopic Ellipsometry Studies Of Insb Thin Films On Gaas Grown By Metalorganic Chemical Vapor Deposition, Yingda Qian, Yuanlan Liang, Xuguang Luo, Kaiyan He, Wenhong Sun, Hao Hsiung Lin, Devki N. Talwar, Ting Shan Chan, Ian Ferguson, Lingyu Wan, Qingyi Yang, Zhe Chuan Feng

Electrical and Computer Engineering Faculty Research & Creative Works

A series of ultrathin InSb films grown on GaAs by low-pressure metalorganic chemical vapor deposition with different V/III ratios were investigated thoroughly using spectroscopic ellipsometry (SE), X-ray diffraction, and synchrotron radiation X-ray absorption spectroscopy. The results predicted that InSb films on GaAs grown under too high or too low V/III ratios are with poor quality, while those grown with proper V/III ratios of 4.20-4.78 possess the high crystalline quality. The temperature-dependent SE (20-300°C) and simulation showed smooth variations of SE spectra, optical constants (n, k, e1, and ϵ2), and critical energy points (E1, E1+Δ1, E′0, E2, and E′1) for InSb …

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Inorganic Biodegradable Substrates For Devices And Systems, Chang-Soo Kim, Richard K. Brow, D. E. Day Dec 2017

Inorganic Biodegradable Substrates For Devices And Systems, Chang-Soo Kim, Richard K. Brow, D. E. Day

Electrical and Computer Engineering Faculty Research & Creative Works

Disclosed are biodegradable glass substrates that are useful as functional elements of solid-state devices. In particular, biodegradable glass substrates having a rapidly degradable glass and a slowly degradable glass provide a structural platform that completely dissolves following a desired operational lifetime of devices such as implanted electronic devices, implanted sensor devices, and optical fibers.

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Performance Metrics For Frequency Selective Surface-Based Sensors, Mahboobeh Mahmoodi, Kristen M. Donnell Dec 2017

Performance Metrics For Frequency Selective Surface-Based Sensors, Mahboobeh Mahmoodi, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

A frequency selective surface (FSS) is a periodic array of conductive elements (located on a dielectric substrate) that has a specific transmission or reflection response when illuminated with electromagnetic energy. Since the FSS response is sensitive to changes in substrate properties (permittivity, loss tangent, and thickness) as well as element geometry, FSS-based sensors have strong potential as a wireless sensing solution. To this end, this paper proposes three performance metrics (resonant frequency, resonant depth, and quality factor) to quantify the effect of substrate properties on sensor performance. These metrics are applied to a patch- A nd loop-based FSS sensor. The …

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Special Section On Wireless Emc And Wireless Ota Measurements, Jun Fan, Y. Qi Dec 2017

Special Section On Wireless Emc And Wireless Ota Measurements, Jun Fan, Y. Qi

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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An Analysis Of Scattering From Snow With Relaxed Hierachical Equivalent Source Algorithm, Chan Fai Lum, Hong Tat Ewe, Fu Xin, Li (Lijun) Jun Jiang, Hean Teik Chuah Dec 2017

An Analysis Of Scattering From Snow With Relaxed Hierachical Equivalent Source Algorithm, Chan Fai Lum, Hong Tat Ewe, Fu Xin, Li (Lijun) Jun Jiang, Hean Teik Chuah

Electrical and Computer Engineering Faculty Research & Creative Works

Traditionally, Radiative Transfer (RT) formulation has been used to simulate scattering from snow layer with the incorporation of phase matrix of scatterers in the formulation. Typically, spherical scatterers were assumed to represent the ice particles embedded inside the air medium and Mie phase matrix was applied. However, the real scatterers in the actual snow are generally more irregular than the assumed spherical shape. In this paper, a numerical solution based on the Hierarchical Equivalent Source Algorithm (HESA) has been developed to calculate the phase matrix of scatterers of other shapes to be incorporated in the existing RT formulation. Results from …

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4h-Sic Electrostatic Microactuator With Optically Controlled Actuation, Feng Zhao, Marcus Daniel Trimble Dec 2017

4h-Sic Electrostatic Microactuator With Optically Controlled Actuation, Feng Zhao, Marcus Daniel Trimble

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents that actuation of a 4H-SiC electrostatic micro actuator was controlled by an optical signal. The micro actuator was monolithically integrated with a transistor switch on the 4H-SiC substrate. DC voltage bias on the transistor produced an electrostatic force on the micro actuator, which bended down the cantilever beam and caused a shift in the resonant frequency to a lower value. The transistor switched on when activated by UV illumination, and photogenerated current in the transistor reduced bias voltage on the micro actuator, which relaxed the electrostatic force and consequently increased the resonant frequency.

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Chaotic Behavior In High-Gain Interleaved Dc-Dc Converters, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi, Cihan H. Dagli Nov 2017

Chaotic Behavior In High-Gain Interleaved Dc-Dc Converters, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi, Cihan H. Dagli

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, chaotic behavior in high gain dc-dc converters with current mode control is explored. The dc-dc converters exhibit some chaotic behavior because they contain switches. Moreover, in power electronics (circuits with more passive elements), the dynamics become rich in nonlinearity and become difficult to capture with linear analytical models. Therefore, studying modeling approaches and analysis methods is required. Most of the high-gain dc-dc boost converters cannot be controlled with only voltage mode control due to the presence of right half plane zero that narrows down the stability region. Therefore, the need of current mode control is necessary to …

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Modeling And Simulation Of Microgrid, Ahmad Alzahrani, Mehdi Ferdowsi, Pourya Shamsi, Cihan H. Dagli Nov 2017

Modeling And Simulation Of Microgrid, Ahmad Alzahrani, Mehdi Ferdowsi, Pourya Shamsi, Cihan H. Dagli

Electrical and Computer Engineering Faculty Research & Creative Works

Complex computer systems and electric power grids share many properties of how they behave and how they are structured. A microgrid is a smaller electric grid that contains several homes, energy storage units, and distributed generators. The main idea behind microgrids is the ability to work even if the main grid is not supplying power. That is, the energy storage unit and distributed generation will supply power in that case, and if there is excess in power production from renewable energy sources, it will go to the energy storage unit. Therefore, the electric grid becomes decentralized in terms of control …

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Solar Irradiance Forecasting Using Deep Neural Networks, Ahmad Alzahrani, Pourya Shamsi, Cihan H. Dagli, Mehdi Ferdowsi Nov 2017

Solar Irradiance Forecasting Using Deep Neural Networks, Ahmad Alzahrani, Pourya Shamsi, Cihan H. Dagli, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

Predicting solar irradiance has been an important topic in renewable energy generation. Prediction improves the planning and operation of photovoltaic systems and yields many economic advantages for electric utilities. The irradiance can be predicted using statistical methods such as artificial neural networks (ANN), support vector machines (SVM), or autoregressive moving average (ARMA). However, they either lack accuracy because they cannot capture long-term dependency or cannot be used with big data because of the scalability. This paper presents a method to predict the solar irradiance using deep neural networks. Deep recurrent neural networks (DRNNs) add complexity to the model without specifying …

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An Optical Interferometric Triaxial Displacement Sensor For Structural Health Monitoring: Characterization Of Sliding And Debonding For A Delamination Process, Chen Zhu, Yizheng Chen, Yiyang Zhuang, Yang Du, Rex E. Gerald Ii, Yan Tang, Jie Huang Nov 2017

An Optical Interferometric Triaxial Displacement Sensor For Structural Health Monitoring: Characterization Of Sliding And Debonding For A Delamination Process, Chen Zhu, Yizheng Chen, Yiyang Zhuang, Yang Du, Rex E. Gerald Ii, Yan Tang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents an extrinsic Fabry-Perot interferometer-based optical fiber sensor (EFPI) for measuring three-dimensional (3D) displacements, including interfacial sliding and debonding during delamination. The idea employs three spatially arranged EFPIs as the sensing elements. In our sensor, the three EFPIs are formed by three endfaces of three optical fibers and their corresponding inclined mirrors. Two coincident roof-like metallic structures are used to support the three fibers and the three mirrors, respectively. Our sensor was calibrated and then used to monitor interfacial sliding and debonding between a long square brick of mortar and its support structure (i.e., a steel base plate) …

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Secure Degrees Of Freedom For The Mimo Wire-Tap Channel With A Multi-Antenna Cooperative Jammer, Mohamed Nafea, Aylin Yener Nov 2017

Secure Degrees Of Freedom For The Mimo Wire-Tap Channel With A Multi-Antenna Cooperative Jammer, Mohamed Nafea, Aylin Yener

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a multiple antenna wire-tap channel in the presence of a multi-antenna cooperative jammer is studied. In particular, the secure degrees of freedom (s.d.o.f.) of this channel is established, with $N-{t}$ antennas at the transmitter, $N-{r}$ antennas at the legitimate receiver, and $N-{e}$ antennas at the eavesdropper, for all possible values of the number of antennas, $N-{c}$, at the cooperative jammer. In establishing the result, several different ranges of $N-{c}$ need to be considered separately. The lower and upper bounds for these ranges of $N-{c}$ are derived and are shown to be tight. The achievability techniques developed rely …

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On Linear Precoding Of Nonregenerative Mimo Relay Networks For Finite-Alphabet Source, Xiao Liang, Zhi Ding, Chengshan Xiao Nov 2017

On Linear Precoding Of Nonregenerative Mimo Relay Networks For Finite-Alphabet Source, Xiao Liang, Zhi Ding, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

Multiple input and multiple output (MIMO) relay could provide broader wireless coverage, better diversity, and higher throughput. Most existing precoder designs for either source or relay node are based on the assumption of Gaussian input signals. However, recent works have revealed possible performance loss of MIMO systems originally optimized for Gaussian source signals when applied to practical finite-alphabet source signals. In this work, we investigate the design problem of joint MIMO precoding for wireless two-hop nonregenerative cooperative relay networks under finite-alphabet source signals. We identify several structural properties of optimal precoders. Specifically, we provided the optimal left singular vectors of …

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An Embeddable Optical Strain Gauge Based On A Buckled Beam, Yang Du, Yizheng Chen, Chen Zhu, Yiyang Zhuang, Jie Huang Nov 2017

An Embeddable Optical Strain Gauge Based On A Buckled Beam, Yang Du, Yizheng Chen, Chen Zhu, Yiyang Zhuang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We report, for the first time, a low cost, compact, and novel mechanically designed extrinsic Fabry-Perot interferometer (EFPI)-based optical fiber sensor with a strain amplification mechanism for strain measurement. The fundamental design principle includes a buckled beam with a coated gold layer, mounted on two grips. A Fabry-Perot cavity is produced between the buckled beam and the endface of a single mode fiber (SMF). A ceramic ferrule is applied for supporting and orienting the SMF. The principal sensor elements are packaged and protected by two designed metal shells. The midpoint of the buckled beam will experience a deflection vertically when …

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Energy-Efficient Fpga-Based Parallel Quasi-Stochastic Computing, Ramu Seva, Prashanthi Metku, Minsu Choi Nov 2017

Energy-Efficient Fpga-Based Parallel Quasi-Stochastic Computing, Ramu Seva, Prashanthi Metku, Minsu Choi

Electrical and Computer Engineering Faculty Research & Creative Works

The high performance of FPGA (Field Programmable Gate Array) in image processing applications is justified by its flexible reconfigurability, its inherent parallel nature and the availability of a large amount of internal memories. Lately, the Stochastic Computing (SC) paradigm has been found to be significantly advantageous in certain application domains including image processing because of its lower hardware complexity and power consumption. However, its viability is deemed to be limited due to its serial bitstream processing and excessive run-time requirement for convergence. To address these issues, a novel approach is proposed in this work where an energy-efficient implementation of SC …

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Spectroscopic Ellipsometry Studies On Zncdo Thin Films With Different Cd Concentrations Grown By Pulsed Laser Deposition, Shuai Chen, Qingxuan Li, Ian Ferguson, Tao Lin, Lingyu Wan, Zhe Chuan Feng, Liping Zhu, Zhizhen Ye Nov 2017

Spectroscopic Ellipsometry Studies On Zncdo Thin Films With Different Cd Concentrations Grown By Pulsed Laser Deposition, Shuai Chen, Qingxuan Li, Ian Ferguson, Tao Lin, Lingyu Wan, Zhe Chuan Feng, Liping Zhu, Zhizhen Ye

Electrical and Computer Engineering Faculty Research & Creative Works

A set of Zn 1-x Cd x O thin films with different Cd concentrations was deposited on quartz substrates by Pulsed Laser Deposition (PLD). The properties of these films were investigated by variable angle and temperature dependent spectroscopic ellipsometry (SE). The experimental Zn 1-x Cd x O thin films showed a red shift in the absorption edge with increasing Cd contents at room temperature. For ZnCdO films with the similar Cd concentration, it has been found that the film thickness has important effects on the optical constants (n, k). The variations of optical constants (n, k) and the band gap, …

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Composition And Temperature Dependent Optical Properties Of Al X Ga 1-X N Alloy By Spectroscopic Ellipsometry, Yao Liu, Qing Xuan Li, Ling Yu Wan, Bahadir Kucukgok, Ehsan Ghafari, Ian T. Ferguson, Xiong Zhang, Shuchang Wang, Zhe Chuan Feng, Na Lu Nov 2017

Composition And Temperature Dependent Optical Properties Of Al X Ga 1-X N Alloy By Spectroscopic Ellipsometry, Yao Liu, Qing Xuan Li, Ling Yu Wan, Bahadir Kucukgok, Ehsan Ghafari, Ian T. Ferguson, Xiong Zhang, Shuchang Wang, Zhe Chuan Feng, Na Lu

Electrical and Computer Engineering Faculty Research & Creative Works

A series of Al x Ga 1-x N/AlN/Sapphire films with x = 0.35–0.75 and different thickness of epi-layer were prepared by metalorganic chemical vapor deposition (MOCVD). Spectroscopic ellipsometry (SE) was used to study the temperature-dependent refractive indices and optical bandgaps of the Al x Ga 1-x N films ranging from 300 to 823 K. Parametric semiconductor (PSEMI) models were used to describe the dielectric functions of AlGaN/AlN layers. The fitting results of refractive index, energy bandgap, thickness and surface roughness at 300 K are in good agreement with photoluminescence (PL), scanning electron microscopy (SEM) measurements and the existing literature. Our …

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Apparatus And Method For Controlling Dc-Ac Power Conversion, Patrick L. Chapman, Brian T. Kuhn, Robert S. Balog, Jonathan W. Kimball, Philip T. Krein, Alexander Gray, T. Esram Oct 2017

Apparatus And Method For Controlling Dc-Ac Power Conversion, Patrick L. Chapman, Brian T. Kuhn, Robert S. Balog, Jonathan W. Kimball, Philip T. Krein, Alexander Gray, T. Esram

Electrical and Computer Engineering Faculty Research & Creative Works

An apparatus and method for controlling the delivery of power from a DC source to an AC grid includes an inverter configured to deliver power from the unipolar input source to the AC grid and an inverter controller. The inverter includes an input converter, an active filter, and an output converter. The inverter controller includes an input converter controller, an active filter controller and an output converter controller. The input converter controller is configured to control a current delivered by the input converter to a galvanically isolated unipolar bus of the inverter. The output converter is configured to control the …

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Inductance And Capacitance, Bruce Archambeault Oct 2017

Inductance And Capacitance, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

• Inductance is dominated by the size of the loop • Current density in conductor is a secondary effect (wire size) • Inductance is the key limiting factor to make current flow • Current always flows in lowest impedance • At low frequencies → lowest resistance • At high frequencies → lowest inductance • Switch from low to high frequency in KHz range • Capacitance is simply how much charge can be stored.

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Introduction To The Finite-Difference Time-Domain (Fdtd) Technique, Bruce Archambeault Oct 2017

Introduction To The Finite-Difference Time-Domain (Fdtd) Technique, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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On Inductance Of Power Islands And Its Impact On Decoupling Behavior In High Speed Boards, Mosin Mondal, Bruce Archambeault Oct 2017

On Inductance Of Power Islands And Its Impact On Decoupling Behavior In High Speed Boards, Mosin Mondal, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

Design of power delivery networks for printed circuit boards hosting both analog and digital parts often employs small power islands for supplying power to sensitive components. While providing necessary isolation from noise generated by other components, the power islands also experience increased inductance due to current crowding at the bridge. In this paper, the inductance at a port on the power island has been quantified. The variation of port inductance with the bridge width and slot/gap width has been studied. It has been demonstrated that the increased inductance adversely affects the effectiveness of decoupling capacitors. This necessitates more careful design …

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The Interval Grey Numbers Ranking Based On Risk Preferences, Zhaobin Li, Zhuo Zhang, Jian Liu, Shuai Zhang Oct 2017

The Interval Grey Numbers Ranking Based On Risk Preferences, Zhaobin Li, Zhuo Zhang, Jian Liu, Shuai Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a new method for ranking interval grey numbers to address the challenge in multi-criteria decision-making problems with interval grey numbers has been proposed. This new method involves the risk preferences of decision makers. First, we propose a new method to rank the interval grey numbers by comparing the possibility degree or whitened value. Second, we classify the decision makers into three different types according to their risk preferences then we establish the corresponding risk preference assumptions to solve the problem that different interval grey numbers with the same possibility degree or whitened value. Finally, we use a …

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Machine Learning Based Method Of Moments (Ml-Mom), He Ming Yao, Li (Lijun) Jun Jiang, Yu Wei Qin Oct 2017

Machine Learning Based Method Of Moments (Ml-Mom), He Ming Yao, Li (Lijun) Jun Jiang, Yu Wei Qin

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel method by rethinking the method of moments (MoM) solving process into a machine learning training process. Based on the artificial neural network (ANN), the conventional MoM matrix is treated as the training data set, based on which machine learning training process becomes conventional linear algebra MoM solving process. The trained result is the solution of MoM. The multiple linear regression (MLR) is utilized to train the model. Amazon Web Service (AWS) is used as the computations platform to utilize the existing hardware and software resources for machine learning. To verify the feasibility of the proposed …

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Orbital Angular Momentum Generation From A Defect In Photonic Crystals, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Wei E.I. Sha Oct 2017

Orbital Angular Momentum Generation From A Defect In Photonic Crystals, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

Orbital angular momentum (OAM) is generated from a defect in two-dimensional (2-D) photonic crystals (PC). By breaking the translation symmetry along the two orthogonal directions, the localized defect states can be supported within photonic bandgap of the PC. Particularly, we examine the characteristics of the point defect states along the azimuthal direction by the finite-difference (FD) based eigenvalue analysis. We find that vortex beam carrying OAM can be generated from the defect. The novel design can be easily integrated in optical circuits.

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