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Electrical and Computer Engineering
Missouri University of Science and Technology
Electrical and Computer Engineering Faculty Research & Creative Works
- Keyword
-
- Isolation (4)
- Mutual coupling (4)
- Decoupling network (3)
- Bidding Strategy (2)
- Demultiplexing (2)
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- Distinct bands (2)
- Machine Learning (2)
- Orbital angular momentum (2)
- Partial arc sampling receiving (2)
- Power divider (2)
- Uncertainty (2)
- Virtual Bidding (2)
- 2-Port Networks (1)
- AC Security Constrained Unit Commitment (1)
- Active microwave remote sensing (1)
- Adaptive Dynamic Programming (1)
- Adaptive Robust Optimization (1)
- Annular ring antenna (1)
- Augmented dynamic mode decomposition (1)
- Battery Modeling (1)
- Battery Soc (1)
- Bi-Level Optimization (1)
- Blunt-Force Impact-Induced Brain Injury (1)
- Boost Inverter (1)
- Cavity model (1)
- Channel estimation (1)
- Complex permeability (1)
- Complex permittivity (1)
- Computational electromagnetics (CEM) (1)
- Concussive Events (1)
Articles 1 - 30 of 41
Full-Text Articles in Engineering
Numerical Green's Function-Based Method For Modeling Radiated Emission From Pcbs In Shielding Enclosures, Zi An Wang, Li (Lijun) Jun Jiang, Jun Fa Mao, Ping Li
Numerical Green's Function-Based Method For Modeling Radiated Emission From Pcbs In Shielding Enclosures, Zi An Wang, Li (Lijun) Jun Jiang, Jun Fa Mao, Ping Li
Electrical and Computer Engineering Faculty Research & Creative Works
Due to stringent electromagnetic compatibility (EMC) regulations, all electronic devices need to go through rigorous radiated emission tests before launching to market. Thus, efficient, accurate, and cheap characterization approaches are quite of interest. Instead of utilizing the time-consuming and expensive direct far-field measurement, in this work, a novel methodology on the basis of numerical Green's function (NGF) is proposed to acquire the parasitic EM emissions from PCBs placed in a shielding enclosure with ventilation slots. Referring to Schelkunoff's equivalence principle, the whole modeling procedure can be decomposed into two steps in order to obtain the emissions in the entire space. …
Approaching The Fundamental Limit Of Orbital-Angular-Momentum Multiplexing Through A Hologram Metasurface, Shuai S.A. Yuan, Jie Wu, Menglin L.N. Chen, Zhihao Lan, Liang Zhang, Sheng Sun, Zhixiang Huang, Xiaoming Chen, Shilie Zheng, Li (Lijun) Jun Jiang, Xianmin Zhang, Wei E.I. Sha
Approaching The Fundamental Limit Of Orbital-Angular-Momentum Multiplexing Through A Hologram Metasurface, Shuai S.A. Yuan, Jie Wu, Menglin L.N. Chen, Zhihao Lan, Liang Zhang, Sheng Sun, Zhixiang Huang, Xiaoming Chen, Shilie Zheng, Li (Lijun) Jun Jiang, Xianmin Zhang, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
Establishing and approaching the fundamental limit of orbital-angular-momentum (OAM) multiplexing are necessary and increasingly urgent for current multiple-input multiple-output research. In this work, we elaborate the fundamental limit in terms of independent scattering channels (or the degrees of freedom of scattered fields) through angular-spectral analysis, in conjunction with a rigorous Green's function method. The scattering-channel limit is universal for arbitrary spatial-mode multiplexing, which is launched by a planar electromagnetic device, such as antenna, metasurface, etc., with a predefined physical size. As a proof of concept, we demonstrate both theoretically and experimentally the limit by a phase-only metasurface hologram that transforms …
Temperature And Strain Sensing With Hybrid Interferometer, Lashari Ghulam Abbas, Zhou Ai, Farhan Mumtaz, Atta Muhammad, Yutang Dai, Rashda Parveen
Temperature And Strain Sensing With Hybrid Interferometer, Lashari Ghulam Abbas, Zhou Ai, Farhan Mumtaz, Atta Muhammad, Yutang Dai, Rashda Parveen
Electrical and Computer Engineering Faculty Research & Creative Works
A hybrid interferometer for simultaneous measurement of strain and temperature is proposed and investigated experimentally. This hybrid design is composed of Fabry-Perot interferometer (FPI) and Michelson Interferometer (MI) cascaded with each other. It is developed by fusion splicing a single mode fiber (SMF), a multimode fiber (MMF), a dual side hole fiber (DSHF), a hollow core fiber (HCF) and a tapered-SMF. The tapered SMF was inserted into the HCF to form a reflection mirror for the FPI. The maximum temperature and strain sensitivity of the hybrid interferometer achieved through experiments is 11.6 pm/°C and 6.8 pm/mu varepsilon , respectively. The …
Machine Learning Identifies Liquids Employing A Simple Fiber-Optic Tip Sensor, Wassana Naku, Chen Zhu, Anand K. Nambisan, Rex E. Gerald, Jie Huang
Machine Learning Identifies Liquids Employing A Simple Fiber-Optic Tip Sensor, Wassana Naku, Chen Zhu, Anand K. Nambisan, Rex E. Gerald, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
We proposed an extremely simple fiber-optic tip sensor system to identify liquids by combining their corresponding droplet evaporation events with analyses using machine learning techniques. Pendant liquid droplets were suspended from the cleaved endface of a single-mode fiber during the experiment. The optical fiber-droplet interface and the droplet-air interface served as two partial reflectors of an extrinsic Fabry-Perot interferometer (EFPI) with a liquid droplet cavity. As the liquid pendant droplet evaporated, its length diminished. A light source can be used to observe the effective change in the net reflectivity of the optical fiber sensor system by observing the resulting optical …
Dc Bus Voltage Selection For A Grid-Connected Low-Voltage Dc Residential Nanogrid Using Real Data With Modified Load Profiles, Saeed Habibi, Ramin Rahimi, Mehdi Ferdowsi, Pourya Shamsi
Dc Bus Voltage Selection For A Grid-Connected Low-Voltage Dc Residential Nanogrid Using Real Data With Modified Load Profiles, Saeed Habibi, Ramin Rahimi, Mehdi Ferdowsi, Pourya Shamsi
Electrical and Computer Engineering Faculty Research & Creative Works
This study examines various low voltage levels applied to a direct current residential nanogrid (DC-RNG) with respect to the efficiency and component cost of the system. Due to the significant increase in DC-compatible loads, on-site Photovoltaic (PV) generation, and local battery storage, DC distribution has gained considerable attention in buildings. To provide an accurate evaluation of the DC-RNG's efficiency and component cost, a one-year load profile of a conventional AC-powered house is considered, and AC appliances' load profiles are scaled to their equivalent available DC appliances. Based on the modified load profiles, proper wiring schemes, converters, and protection devices are …
A Novel Reduced-Order Method For Analysis Of Hyperspectral Images, Yanming Zhang, Lijun Jiang
A Novel Reduced-Order Method For Analysis Of Hyperspectral Images, Yanming Zhang, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
Hyperspectral imaging technology has been broadly applied in remote sensing because it collects echoed signals from across the electromagnetic (EM) spectrum and provides fruitfully helpful information. However, the processing or transformation of high-data-volume hyperspectral images, also viewed as snapshots varying with the EM spectrum, burdens the hardware resources, especially for the high spectral resolution and spatial resolution cases. To tackle this challenge, a novel reduced-order method based on the dynamic mode decomposition (DMD) algorithm is presented here to analyze hyperspectral images. The method decomposes the spatial-spectral hyperspectral images in terms of spatial dynamic modes and corresponding spectral patterns. Then, these …
Evolutionary Algorithm-Based Adaptive Robust Optimization For Ac Security Constrained Unit Commitment Considering Renewable Energy Sources And Shunt Facts Devices, Aliasghar Baziar, Rui Bo, Misagh Dehghani Ghotbabadi, Mehdi Veisi, Waqas Ur Rehman
Evolutionary Algorithm-Based Adaptive Robust Optimization For Ac Security Constrained Unit Commitment Considering Renewable Energy Sources And Shunt Facts Devices, Aliasghar Baziar, Rui Bo, Misagh Dehghani Ghotbabadi, Mehdi Veisi, Waqas Ur Rehman
Electrical and Computer Engineering Faculty Research & Creative Works
An AC security constrained unit commitment (AC-SCUC) in the presence of the renewable energy sources (RESs) and shunt flexible AC transmission system (FACTS) devices is conventionally modeled as a deterministic optimization problem to minimize the operation cost of conventional generation units (CGUs) subject to AC optimal power flow (AC-OPF) equations, operation constraints of RESs, shunt FACTS devices, and CGUs. To cope with the uncertainties of load and RES generation, robust and stochastic optimization and linearized formulation have been used to achieve a sub-optimal solution. To arrive at a more optimal solution, an evolutionary algorithm-based adaptive robust optimization (EA-ARO) approach to …
Developing Robust Bidding Strategy For Virtual Bidders In Day-Ahead Electricity Markets, Hossein Mehdipourpicha, Siyuan Wang, Rui Bo
Developing Robust Bidding Strategy For Virtual Bidders In Day-Ahead Electricity Markets, Hossein Mehdipourpicha, Siyuan Wang, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
Purely financial players without any physical assets can participate in day-Ahead electricity markets as virtual bidders. They can arbitrage the price difference between day-Ahead (DA) and real-Time (RT) markets to maximize profits. Virtual bidders encounter various monetary risks and uncertainties in their decision-making due to the high volatility of the price difference. Therefore, this paper proposes a max-min two-level optimization model to derive the optimal bidding strategy of virtual bidders. In this model, the risks of uncertainties associated with the rivals' strategies and RT market prices are managed by robust optimization. The proposed max-min two-level model is turned into a …
Comparative Study Of Hermitian And Non-Hermitian Topological Dielectric Photonic Crystals, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Shuang Zhang, Ran Zhao, Zhihao Lan, Wei E.I. Sha
Comparative Study Of Hermitian And Non-Hermitian Topological Dielectric Photonic Crystals, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Shuang Zhang, Ran Zhao, Zhihao Lan, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
The effects of gain and loss on the band structures of a bulk topological dielectric photonic crystal (PC) with C6v symmetry and the PC-air-PC interface are studied based on first-principal calculation. To illustrate the importance of parity-time (PT) symmetry, three systems are considered, namely the PT-symmetric, PT-asymmetric, and lossy systems. We find that the system with gain and loss distributed in a PT symmetric manner exhibits a phase transition from a PT exact phase to a PT broken phase as the strength of the gain and loss increases, while for the PT-asymmetric and lossy systems, no such phase transition occurs. …
Physical-Based Training Data Collection Approach For Data-Driven Lithium-Ion Battery State-Of-Charge Prediction, Jie Li, Will Ziehm, Jonathan W. Kimball, Robert Landers, Jonghyun Park
Physical-Based Training Data Collection Approach For Data-Driven Lithium-Ion Battery State-Of-Charge Prediction, Jie Li, Will Ziehm, Jonathan W. Kimball, Robert Landers, Jonghyun Park
Electrical and Computer Engineering Faculty Research & Creative Works
Data-Driven approaches for State of Charge (SOC) prediction have been developed considerably in recent years. However, determining the appropriate training dataset is still a challenge for model development and validation due to the considerably varieties of lithium-ion batteries in terms of material, types of battery cells, and operation conditions. This work focuses on optimization of the training data set by using simple measurable data sets, which is important for the accuracy of predictions, reduction of training time, and application to online estimation. It is found that a randomly generated data set can be effectively used for the training data set, …
New Infeed Correction Methods For Distance Protection In Distribution Systems, Fahd Hariri, Mariesa Crow
New Infeed Correction Methods For Distance Protection In Distribution Systems, Fahd Hariri, Mariesa Crow
Electrical and Computer Engineering Faculty Research & Creative Works
The reliability and security of power systems may be jeopardized by the increase in the amounts of renewable generation and the uncertainties produced by these devices. In particular, the protection schemes of traditional power systems have been challenged by the integration of distributed generation (DG) resources. Distance relays (DRs), which have been mainly employed to protect transmission systems, are increasingly proposed as one of the solutions to protect distribution systems with a heavy penetration of DGs. However, conventional distance protection faces several drawbacks that might lead to maloperation. One of those challenges is the "infeed effect", which causes the impedance …
Tunable Topological Photonic Crystal Waveguides, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Wei E.I. Sha
Tunable Topological Photonic Crystal Waveguides, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
Edge states in topological photonic systems have the robust unidirectional propagation feature which originates from the topological nature of the bulk band dispersion. In this work, we propose a topological photonic crystal (PC) waveguide that is formed by introducing an air gap in an all-dielectric PC with C-{6v} symmetry. The dispersion of the line defect states is tunable by varying the width of the air gap. Based on their field distributions, the states can be classified into even- and odd-symmetric states. The even-symmetric states are found to be the nontrivial topological edge states and exhibit pseudospin-locking unidirectional propagation property. By …
Data-Driven Discovery Of The Governing Equation For The Transmission Lines System, Yanming Zhang, Lijun Jiang
Data-Driven Discovery Of The Governing Equation For The Transmission Lines System, Yanming Zhang, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
Sophisticated structures in the transmission line system introduce the nonuniformity and nonlinearity, which brings the challenge for its characterization and modeling. In this work, a novel data-driven method is proposed to derive the governing partial differential equations of the transmission line. Based on the polynomial interpolation of the spatial-temporal samples of current and voltage, the time and spatial derivatives can be obtained. Then, the ridge regression algorithm is adopted to determine the active spatial differential terms from the candidate functions. Three benchmarks, the uniform and nonuniform transmission line, and a soliton generation system, are provided to demonstrate the validity of …
Off-Axis Microsphere Photolithography Patterned Nanohole Array And Other Structures On An Optical Fiber Tip For Glucose Sensing, Jiayu Liu, Ibrahem Jasim, Tao Liu, Jie Huang, Edward Kinzel, Mahmoud Almasri
Off-Axis Microsphere Photolithography Patterned Nanohole Array And Other Structures On An Optical Fiber Tip For Glucose Sensing, Jiayu Liu, Ibrahem Jasim, Tao Liu, Jie Huang, Edward Kinzel, Mahmoud Almasri
Electrical and Computer Engineering Faculty Research & Creative Works
Microsphere photolithography (MPL) using off-axis UV exposure is a technique that uses a layer of self-assembled microspheres as an optical mask to project different periodic nanopatterns. This paper introduces MPL as an alternative fabrication technique to pattern complex metasurfaces on an optical single mode fiber tip as a sensor for measuring refractive index. Based on the hexagonal close packing microsphere array, complicated metasurfaces were successfully created by changing the UV illumination angle. Using the same self-assembled microspheres monolayer, multiple UV illumination jets were projected to create multiple hole group patterns. Fiber sensors with three-hole group and four-hole group patterns were …
Modeling, Analysis, And Control Design Of A Single-Stage Boost Inverter, Md Rasheduzzaman, Poria Fajri, Jonathan W. Kimball, Brad Deken
Modeling, Analysis, And Control Design Of A Single-Stage Boost Inverter, Md Rasheduzzaman, Poria Fajri, Jonathan W. Kimball, Brad Deken
Electrical and Computer Engineering Faculty Research & Creative Works
A single-phase, single-stage, differential boost inverter comprises two independently-controlled boost DC-DC converters, with the load connected between their outputs. The net voltage on the load is sinusoidal and has a controllable frequency and magnitude that is larger than that of the DC source. The present work first derives steady-state and small-signal models of the inverter with parasitic elements. The results obtained from the line-to-output transfer function, control-to-output transfer function, open-loop input impedance, and open-loop output impedance models are compared with that of the ones obtained from the experimental testbed. Using the new models, a voltage mode controller is designed in …
A Novel Demultiplexing Scheme For Vortex Beams In Radio Communication Systems, Yanming Zhang, Lijun Jiang
A Novel Demultiplexing Scheme For Vortex Beams In Radio Communication Systems, Yanming Zhang, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
The orbital angular momentum (OAM) based communication is a promising technology in the wireless communication system for its improving spectrum efficiency. However, for the OAM demultiplexing, it requires a very large aperture size in the receiving end due to the OAM beam divergence and the amplitude null in the beam center, which restricts the full development of OAM based communication. In this paper, we propose a novel partial arc sampling receiving (PASR) scheme based on the augmented dynamic mode decomposition (ADMD) to solve this issue. We explore the use of the phase delay coordinates in the conventional DMD to sort …
Single Step 2-Port Device De-Embedding Algorithm For Fixture-Dut-Fixture Network Assembly, Simone Scafati, Enza Pellegrino, Francesco De Paulis, Carlo Olivieri, James L. Drewniak, Antonio Orlandi
Single Step 2-Port Device De-Embedding Algorithm For Fixture-Dut-Fixture Network Assembly, Simone Scafati, Enza Pellegrino, Francesco De Paulis, Carlo Olivieri, James L. Drewniak, Antonio Orlandi
Electrical and Computer Engineering Faculty Research & Creative Works
The de-embedding of measurement fixtures is relevant for an accurate experimental characterization of radio frequency and digital electronic devices. The standard technique consists in removing the effects of the measurement fixtures by the calculation of the transfer scattering parameters (T-parameters) from the available measured (or simulated) global scattering parameters (S-parameters). The standard de-embedding is achieved by a multiple steps process, involving the S-to-T and subsequent T-to-S parameter conversion. In a typical measurement setup, two fixtures are usually placed before and after the device under test (DUT) allowing the connection of the device to the calibrated vector network analyzer coaxial ports. …
Sensitivity-Enhanced Microwave-Photonic Optical Fiber Interferometry Based On The Vernier Effect, Chen Zhu, Jie Huang
Sensitivity-Enhanced Microwave-Photonic Optical Fiber Interferometry Based On The Vernier Effect, Chen Zhu, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes optical carrier microwave interferometry (OCMI)-based optical fiber interferometers for sensing applications with improved measurement sensitivity with the assistance of the Vernier effect. Fabry-Perot interferometers (FPIs) are employed in the proof of concept. A single-FPI-OCMI system is first demonstrated for measurements of variations of temperatures by tracking the spectral shift of the interferogram in microwave domain. By cascading two FPIs with slightly different optical lengths, the Vernier effect is generated in the magnitude spectrum of the system with a typical amplitude-modulated signal. By tracking the shift of the envelope signal, temperature measurements are experimentally demonstrated with greatly enhanced …
Fuzzyart: An R Package For Art-Based Clustering, Louis Steinmeister, Donald C. Wunsch
Fuzzyart: An R Package For Art-Based Clustering, Louis Steinmeister, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
Adaptive Resonance Theory (ART) was introduced by Steven Grossberg as a theory of human cognitive information processing (Grossberg 1976, 1980). Extending the capabilities of the ART 1 model, which can learn to categorize patterns in binary data, fuzzy ART as described in (Carpenter, Grossberg, and Rosen 1991) has become one of the most commenly used Adaptive Resonance Theory models (Brito da Silva, Elnabarawy, and Wunsch 2019). By incorporating fuzzy set theroy operators, fuzzy ART is capable of learning from binaray and bounded real valued data. Its advantage over other unsupervised learning algorithms lies in the flexibility of the learning rule. …
A Novel Hybrid Gwo-Ls Estimator For Harmonic Estimation Problem In Time Varying Noisy Environment, Muhammad Abdullah, Tahir N. Malik, Ali Ahmed, Muhammad F. Nadeem, Irfan A. Khan, Rui Bo
A Novel Hybrid Gwo-Ls Estimator For Harmonic Estimation Problem In Time Varying Noisy Environment, Muhammad Abdullah, Tahir N. Malik, Ali Ahmed, Muhammad F. Nadeem, Irfan A. Khan, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
The power quality of the Electrical Power System (EPS) is greatly affected by electrical harmonics. Hence, accurate and proper estimation of electrical harmonics is essential to design appropriate filters for mitigation of harmonics and their associated effects on the power quality of EPS. This paper presents a novel statistical (Least Square) and meta-heuristic (Grey wolf optimizer) based hybrid technique for accurate detection and estimation of electrical harmonics with minimum computational time. The non-linear part (phase and frequency) of harmonics is estimated using GWO, while the linear part (amplitude) is estimated using the LS method. Furthermore, harmonics having transients are also …
Isolation Enhancement For Mimo Patch Antennas Sharing A Common Thick Substrate: Using A Dielectric Block To Control Space-Wave Coupling To Cancel Surface-Wave Coupling, Min Li, Muhammad Yasir Jamal, Lijun Jiang, Kwan Lawrence Yeung
Isolation Enhancement For Mimo Patch Antennas Sharing A Common Thick Substrate: Using A Dielectric Block To Control Space-Wave Coupling To Cancel Surface-Wave Coupling, Min Li, Muhammad Yasir Jamal, Lijun Jiang, Kwan Lawrence Yeung
Electrical and Computer Engineering Faculty Research & Creative Works
This article presents a novel and simple decoupling method to increase the isolation between two closely spaced patch antennas sharing a common thick substrate. The decoupling can be simply realized by adding a pure dielectric block (DB) above the coupled array. By means of DB to modify the space permittivity (propagation constant), the space-wave coupling can be controlled to cancel surface-wave coupling for isolation enhancement. Five benchmarks of combinations of two patch antennas with different positions or orientations are investigated to validate the decoupling concept and elaborate on the design procedure. The results show that the proposed method could provide …
Effectiveness Of Noise Suppressing Sheet Material For Mitigation Of Automotive Radiated Emissions, Patrick Deroy, Marina Y. Koledintseva, Cyrous F. Rostamzadeh, Micajah Worden, Tamara Monti, Waldemar Schulz, Abhishek Ramanujan
Effectiveness Of Noise Suppressing Sheet Material For Mitigation Of Automotive Radiated Emissions, Patrick Deroy, Marina Y. Koledintseva, Cyrous F. Rostamzadeh, Micajah Worden, Tamara Monti, Waldemar Schulz, Abhishek Ramanujan
Electrical and Computer Engineering Faculty Research & Creative Works
Integrated circuit (IC) and printed circuit board (PCB) electromagnetic (EM) modeling methods are becoming essential during the development of automotive electronic control units. Academic and industrial efforts focus on radiated and conducted emissions caused by flaws in PCB design from EM compatibility (EMC)/electrostatic discharge (ESD) point of view, including improper placement, grounding, and shielding of ICs. In this article, the effectiveness of noise suppressing sheet material for the mitigation of radiated emission at global positioning system (GPS) and Global'naya Navigatsionnaya Sputnikovaya Sistema (GLONASS) bands according to U.S. automotive original equipment manufacturer (OEM) requirements is investigated. A few test scenarios that …
A Cascaded Power Dividing Decoupling Network For Antennas With Distinct Frequency Bands, Min Li, Lijun Jiang, Kwan Lawrence Yeung
A Cascaded Power Dividing Decoupling Network For Antennas With Distinct Frequency Bands, Min Li, Lijun Jiang, Kwan Lawrence Yeung
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a novel decoupling method for two antennas operating in adjacent/contiguous frequency bands using a cascaded power dividing decoupling network (C- PDDN). An n-order C-PDDN can be designed to increase antenna isolation at n desired frequency points. Each PDDN is composed of two power dividers, two transmission lines, and one reactive component. Explicit design formulas are founded for determining design parameters. For illustration, a two-order C- PDDN is applied to a testing array. Results show that it could increase isolation by over 20 dB, verifying the effectiveness.
Fiber Optic Sensor Embedded Smart Helmet For Real-Time Impact Sensing And Analysis Through Machine Learning, Yiyang Zhuang, Qingbo Yang, Taihao Han, Ryan O'Malley, Aditya Kumar, Rex E. Gerald Ii, Jie Huang
Fiber Optic Sensor Embedded Smart Helmet For Real-Time Impact Sensing And Analysis Through Machine Learning, Yiyang Zhuang, Qingbo Yang, Taihao Han, Ryan O'Malley, Aditya Kumar, Rex E. Gerald Ii, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
Background: Mild traumatic brain injury (mTBI) strongly associates with chronic neurodegenerative impairments such as post-traumatic stress disorder (PTSD) and mild cognitive impairment. Early detection of concussive events would significantly enhance the understanding of head injuries and provide better guidance for urgent diagnoses and the best clinical practices for achieving full recovery. New method: A smart helmet was developed with a single embedded fiber Bragg grating (FBG) sensor for real-time sensing of blunt-force impact events to helmets. The transient signals provide both magnitude and directional information about the impact event, and the data can be used for training machine learning (ML) …
High-Temperature Stable Fbgs Fabricated By A Point-By-Point Femtosecond Laser Inscription For Multi-Parameter Sensing, Chen Zhu, Dinesh Alla, Jie Huang
High-Temperature Stable Fbgs Fabricated By A Point-By-Point Femtosecond Laser Inscription For Multi-Parameter Sensing, Chen Zhu, Dinesh Alla, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
A high-temperature resistant fiber Bragg grating (FBG) with pronounced cladding modes is fabricated using a simple, fast, and flexible point-by-point femtosecond laser inscription. Cladding modes of different orders exhibit various sensitivities to changes in refractive index of the surrounding medium and temperature, while the Bragg wavelength is only dependent on the ambient temperature. By combining the resonance of cladding modes and the Bragg resonance, measurement of variations of temperature and surrounding refractive index can be achieved. Survivability of the cladding modes and the core mode in the fabricated FBG at elevated temperatures up to 1000°C is demonstrated.
Noise Optimizes Super-Turing Computation In Recurrent Neural Networks, Emmett Redd, Steven Senger, Tayo Obafemi-Ajayi
Noise Optimizes Super-Turing Computation In Recurrent Neural Networks, Emmett Redd, Steven Senger, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
This paper explores the benefit of added noise in increasing the computational complexity of digital recurrent neural networks (RNNs). The physically accepted model of the universe imposes rational number, stochastic limits on all calculations. An analog RNN with those limits calculates at the super-Turing complexity level BPP/log∗. In this paper, we demonstrate how noise aids digital RNNs in attaining super-Turing operation similar to analog RNNs. We investigate moving limited-precision systems from not being chaotic at small amounts of noise, through consistency with chaos, to overwhelming it at large amounts of noise. A Kolmogorov-complexity-based proof shows that an infinite computational class …
Ship Detection And Tracking In Inland Waterways Using Improved Yolov3 And Deep Sort, Yang Jie, Lilianasimwe Leonidas, Farhan Mumtaz, Munsif Ali
Ship Detection And Tracking In Inland Waterways Using Improved Yolov3 And Deep Sort, Yang Jie, Lilianasimwe Leonidas, Farhan Mumtaz, Munsif Ali
Electrical and Computer Engineering Faculty Research & Creative Works
Ship detection and tracking is an important task in video surveillance in inland waterways. However, ships in inland navigation are faced with accidents such as collisions. For collision avoidance, we should strengthen the monitoring of navigation and the robustness of the entire system. Hence, this paper presents ship detection and tracking of ships using the improved You Only Look Once version 3 (YOLOv3) detection algorithm and Deep Simple Online and Real-time Tracking (Deep SORT) tracking algorithm. Three improvements are made to the YOLOv3 target detection algorithm. Firstly, the Kmeans clustering algorithm is used to optimize the initial value of the …
Modeling And Analysis Of Microstrip Annular Ring Antenna With Capacitive Coupling Matching Network, Yan Li, Sheng Sun, Lijun Jiang, Buning Tian
Modeling And Analysis Of Microstrip Annular Ring Antenna With Capacitive Coupling Matching Network, Yan Li, Sheng Sun, Lijun Jiang, Buning Tian
Electrical and Computer Engineering Faculty Research & Creative Works
In this manuscript, microstrip annular ring antenna with capacitive coupling matching network is modeled and analyzed with equivalent circuit model and cavity model, which is simple and accurate for this structure. The proposed approach not only demonstrates physics lying behind the engineering design but also will be a good guideline for the microstrip annular ring antenna design. A prototype working UHF RFID band (902-928 MHz) is designed. Overall dimension of the proposed antenna is about 0.5λ0 x 0.5λ0 x 0.055λ0, and the realized gain is larger than 5 dB with axial ratio is smaller than 3 dB. The measured results …
Decoupling Of Antennas With Adjacent Frequency Bands Using Cascaded Decoupling Network, Min Li, Min Wang, Lijun Jiang, Lawrence Kwan Yeung
Decoupling Of Antennas With Adjacent Frequency Bands Using Cascaded Decoupling Network, Min Li, Min Wang, Lijun Jiang, Lawrence Kwan Yeung
Electrical and Computer Engineering Faculty Research & Creative Works
This communication presents a novel decoupling device called a cascaded power dividing decoupling network (C-PDDN). It is cascaded with two antennas operating in adjacent or even contiguous frequency bands to reduce the mutual coupling. To achieve high isolations at n desired frequency points, an n -order C-PDDN can be accordingly designed. Each order PDDN consists of two power dividers (PDs), two sections of transmission lines, and one reactive component. Explicit design formulas are presented to calculate the design parameters of the C-PDDN to meet the required isolation criteria. To validate the decoupling concept, a two-order C-PDDN is designed and applied …
Optimal Tracking Current Control Of Switched Reluctance Motor Drives Using Reinforcement Q-Learning Scheduling, Hamad Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi, Pourya Shamsi
Optimal Tracking Current Control Of Switched Reluctance Motor Drives Using Reinforcement Q-Learning Scheduling, Hamad Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi, Pourya Shamsi
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a novel Q-learning scheduling method for the current controller of a switched reluctance motor (SRM) drive is investigated. The Q-learning algorithm is a class of reinforcement learning approaches that can find the best forward-in-time solution of a linear control problem. An augmented system is constructed based on the reference current signal and the SRM model to allow for solving the algebraic Riccati equation of the current-tracking problem. This article introduces a new scheduled-Q-learning algorithm that utilizes a table of Q-cores that lies on the nonlinear surface of an SRM model without involving any information about the model …