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Articles 2911 - 2940 of 33676

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Disagreement Matters: Exploring Internal Diversification For Redundant Attention In Generic Facial Action Analysis, Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, Lijun Yin Jan 2023

Disagreement Matters: Exploring Internal Diversification For Redundant Attention In Generic Facial Action Analysis, Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, Lijun Yin

Computer Science Faculty Research & Creative Works

This paper demonstrates the effectiveness of a diversification mechanism for building a more robust multi-attention system in generic facial action analysis. While previous multi-attention (e.g., visual attention and self-attention) research on facial expression recognition (FER) and Action Unit (AU) detection have been thoroughly studied to focus on "external attention diversification", where attention branches localize different facial areas, we delve into the realm of "internal attention diversification" and explore the impact of diverse attention patterns within the same Region of Interest (RoI). Our experiments reveal that variability in attention patterns significantly impacts model performance, indicating that unconstrained multi-attention plagued by redundancy …

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Efficient And Accurate Coded Target Decoding For 3d Reconstruction Of Soil Specimens In Triaxial Test, Xiaolong Xia, Xiong Zhang Jan 2023

Efficient And Accurate Coded Target Decoding For 3d Reconstruction Of Soil Specimens In Triaxial Test, Xiaolong Xia, Xiong Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Coded Targets Have Been Widely Used for Solving the Corresponding Problem in Photogrammetry for High-Accuracy Three-Dimensional Measurements. Accurate and Efficient Recognition and Identification of Coded Targets Are of Great Importance in Coded Target-Based Photogrammetry. in This Paper, an Efficient and Accurate Method for Coded Target Decoding Was Developed. in This Method, Blob Analysis Was Performed to Recognize the Coded Targets. Then, Image Processing, the RANSAC Algorithm, and the Interpolation Technique Were Applied Respectively to Decode the Coded Targets, Identify Falsely Identified Coded Targets, and Recover Missing Coded Targets. Interpolation Was Also Performed on the Membrane, Which Can Significantly Increase the …

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Prediction Of Dynamic Mechanical Behaviors Of Coral Concrete Under Different Corrosive Environments And Its Enhancement Mechanism, Jingjie Wei, Boyuan Cheng, Lixiao Li, Wu Jian Long, Kamal Khayat Jan 2023

Prediction Of Dynamic Mechanical Behaviors Of Coral Concrete Under Different Corrosive Environments And Its Enhancement Mechanism, Jingjie Wei, Boyuan Cheng, Lixiao Li, Wu Jian Long, Kamal Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The marine structures are usually exposed to dynamic loadings within short periods and chemical attacks, resulting in severe dynamical damage or failure to concrete structures. The study of the time-dependent changes in the dynamic mechanical behavior of coral concrete under different corrosive environments and low-frequency waves is limited. For the safety and reliable use of coral concrete in the marine environment, different corrosion environments (chloride ions, sulfate ions, and mixed chloride-sulfate ions) and low-frequency waves (0.5–2.0 Hz) were designed to evaluate the dynamic properties of concrete. A model considering the effect of corroded age is formulated to predict the damping …

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Editorial: Ultra-High Performance Concrete: Computation And Simulation Methods, Xinpeng Wang, Yitong Ma, Dongshuai Hou, Hongyan Ma, Yue Zhang Jan 2023

Editorial: Ultra-High Performance Concrete: Computation And Simulation Methods, Xinpeng Wang, Yitong Ma, Dongshuai Hou, Hongyan Ma, Yue Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

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Experimental Study: Investigating The Anions And Cations' Effects On The Elasticity Of The Anionic And Cationic High Viscosity Friction Reducers, Xiaojing Ge, Ghith Biheri, Abdulmohsin Imqam, Baojun Bai, Yuwei Zhang Jan 2023

Experimental Study: Investigating The Anions And Cations' Effects On The Elasticity Of The Anionic And Cationic High Viscosity Friction Reducers, Xiaojing Ge, Ghith Biheri, Abdulmohsin Imqam, Baojun Bai, Yuwei Zhang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

High viscosity friction reducers (HVFRs) are widely used as friction-reducing agents and proppant carriers during hydraulic fracturing. The reuse of produced water has gained popularity due to environmental and economic benefits. Currently, the field's most commonly used friction reducers are anionic and cationic HVFRs. Anionic HVFRs are typically pumped with freshwater, while cationic HVFRs are used with high Total Dissolved Solids (TDS) produced water. Cationic friction reducers are believed to have better TDS tolerance, friction reduction performance, and proppant transport capabilities compared to anionic friction reducers under high TDS conditions due to their superior viscoelastic properties. In addition, the impact …

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Environmentally-Aware And Energy-Efficient Multi-Drone Coordination And Networking For Disaster Response, Chengyi Qu, Francesco Betti Sorbelli, Rounak Singh, Prasad Calyam, Sajal K. Das Jan 2023

Environmentally-Aware And Energy-Efficient Multi-Drone Coordination And Networking For Disaster Response, Chengyi Qu, Francesco Betti Sorbelli, Rounak Singh, Prasad Calyam, Sajal K. Das

Computer Science Faculty Research & Creative Works

In a Disaster Response Management (DRM) Scenario, Communication and Coordination Are Limited, and Absence of Related Infrastructure Hinders Situational Awareness. Unmanned Aerial Vehicles (UAVs) or Drones Provide New Capabilities for DRM to Address These Barriers. However, There is a Dearth of Works that Address Multiple Heterogeneous Drones Collaboratively Working Together to Form a Flying Ad-Hoc Network (FANET) with Air-To-Air and Air-To-Ground Links that Are Impacted By: (I) Environmental Obstacles, (Ii) Wind, and (Iii) Limited Battery Capacities. in This Paper, We Present a Novel Environmentally-Aware and Energy-Efficient Multi-Drone Coordination and Networking Scheme that Features a Reinforcement Learning (RL) based Location Prediction …

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Sigmoid Activation-Based Long Short-Term Memory For Time Series Data Classification, Sajal Das Jan 2023

Sigmoid Activation-Based Long Short-Term Memory For Time Series Data Classification, Sajal Das

Computer Science Faculty Research & Creative Works

With the enhanced usage of Artificial Intelligence (AI) driven applications, the researchers often face challenges in improving the accuracy of the data classification models, while trading off the complexity. In this paper, we address the classification of time series data using the Long Short-Term Memory (LSTM) network while focusing on the activation functions. While the existing activation functions such as sigmoid and tanh are used as LSTM internal activations, the customizability of these activations stays limited. This motivates us to propose a new family of activation functions, called log-sigmoid, inside the LSTM cell for time series data classification, and analyze …

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Welcome From General Chairs, Sajal K. Das, Wen Zhan Song Jan 2023

Welcome From General Chairs, Sajal K. Das, Wen Zhan Song

Computer Science Faculty Research & Creative Works

No abstract provided.

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Message From The Ieee Mdm 2023 Test-Of-Time Committee, Christian S. Jensen, Sanjay Kumar Madria, Timos Sellis Jan 2023

Message From The Ieee Mdm 2023 Test-Of-Time Committee, Christian S. Jensen, Sanjay Kumar Madria, Timos Sellis

Computer Science Faculty Research & Creative Works

No abstract provided.

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One-Shot Federated Learning For Leo Constellations That Reduces Convergence Time From Days To 90 Minutes, Mohamed Elmahallawy, Tie (Tony) Tie Luo Jan 2023

One-Shot Federated Learning For Leo Constellations That Reduces Convergence Time From Days To 90 Minutes, Mohamed Elmahallawy, Tie (Tony) Tie Luo

Computer Science Faculty Research & Creative Works

A Low Earth orbit (LEO) satellite constellation consists of a large number of small satellites traveling in space with high mobility and collecting vast amounts of mobility data such as cloud movement for weather forecast, large herds of animals migrating across geo-regions, spreading of forest fires, and aircraft tracking. Machine learning can be utilized to analyze these mobility data to address global challenges, and Federated Learning (FL) is a promising approach because it eliminates the need for transmitting raw data and hence is both bandwidth and privacy friendly. However, FL requires many communication rounds between clients (satellites) and the parameter …

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Rate-Monotonic Scheduler For Lora-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, Rahul Bansal Jan 2023

Rate-Monotonic Scheduler For Lora-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, Rahul Bansal

Computer Science Faculty Research & Creative Works

Smart spaces system equipped with sensors to collect data that can be used to generate insights about its environmental conditions. Those collected data is then transmitted to the applications to enhance the comfort, quality of life, and security of the space. Long Range (LoRa) technology provides long distance coverage and consumes low energy which makes it suitable for smart space application. There are six virtual channels to transmit data in LoRa, however network faces the interference problem when nodes transmitted data at the same time. The interference problem makes LoRa less suitable for time-critical applications. To mitigate the interference problem, …

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Identifying Always-The-Same-Rating Reviewers On Amazon.Com Using Big Data Analytics, Jikhan Jeong Jan 2023

Identifying Always-The-Same-Rating Reviewers On Amazon.Com Using Big Data Analytics, Jikhan Jeong

Economics Faculty Research & Creative Works

This study identifies "always-the-same-rating" reviewers (ASRs), that is, reviewers who give the same star rating for all reviewed products and who write many reviews on Amazon. This study identifies ASRs in 29 product categories by analyzing 230 million individual reviews on Amazon. The findings of this study show that: 1) all product categories contain reviews written by ASRs; 2) the majority of ASRs (99.99%) give the same star rating for all reviewed products in all categories; and 3) the rating distribution of ASRs' reviews is extremely skewed toward the five-star rating (98.02%). The digital music category, in particular, shows a …

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Professionalizing Campaign Text Spam: How Technical Marketing Rhetoric Influences Rapid Change To The Professional Communication Of Politics, Ryan Cheek, Samuel T. Allen Jan 2023

Professionalizing Campaign Text Spam: How Technical Marketing Rhetoric Influences Rapid Change To The Professional Communication Of Politics, Ryan Cheek, Samuel T. Allen

English and Technical Communication Faculty Research & Creative Works

In This Brief Paper, We Report Findings from an Ideological Rhetorical Analysis of the Technical Marketing Materials of Politically Focused Peer-To-Peer Texting Service Companies Peerly, Hustle, RumbleUp, and MudShare. Although Other Studies Have Focused on the Efficacy and Effects of SMS Texts in Political Communication, the Technical Marketing Used by P2P Texting Service Companies is an Understudied Phenomenon. through Ideological Rhetoric, Technical Marketing Constructs Narrative Framings that Control How Campaigns Use P2P Texting as a Political Communication Tool. in the Sample of Technical Marketing Materials Studied, All of the P2P Texting Service Companies Emphasized the Efficacy and Speed Advantages of …

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Finite Line Relief Well System Design For Dams And Levees, Andrew M. Keffer, Erich D. Guy, Katherine R. Grote Jan 2023

Finite Line Relief Well System Design For Dams And Levees, Andrew M. Keffer, Erich D. Guy, Katherine R. Grote

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An Analytical Method is Commonly Used to Design Relief Well Systems by Assuming the Well Line Extends an Infinite Distance Parallel to the Dam or Levee. This Assumption May Be Met in Some Cases, But When a Well Line is of Finite Length, This Can Severely Underestimate Excess Heads. Although These Consequences Have Been Historically Recognized, a Practical Graph-Based Analytical Approach for Finite Well Line Design Has Not Been Developed. Finite Well Lines Exist and Continue to Be Installed at Many Locations, So This Study Developed a Practical Design Method for Such Systems. Analytical Solutions and Numerical Models Were Used …

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Oil Recovery Performance And Asphaltene Deposition Evaluation Of Miscible And Immiscible Carbon Dioxide Or Nitrogen Huff-N-Puff Processes In Shale Reservoirs, Mukhtar Elturki, Abdulmohsin Imqam, Shari Dunn-Norman, Hasan Shaglouf, Ahmed Kablan Jan 2023

Oil Recovery Performance And Asphaltene Deposition Evaluation Of Miscible And Immiscible Carbon Dioxide Or Nitrogen Huff-N-Puff Processes In Shale Reservoirs, Mukhtar Elturki, Abdulmohsin Imqam, Shari Dunn-Norman, Hasan Shaglouf, Ahmed Kablan

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The utilization of gas enhanced oil recovery to extract oil from unconventional reservoirs has become a widely discussed topic, as it has proven to be effective in significantly boosting oil recovery rates. Among various enhanced oil recovery methods, Gas Enhanced Oil Recovery (GEOR) is a frequently implemented approach. However, a significant challenge encountered during the process of injecting Carbon Dioxide (CO2) or Nitrogen (N2) to displace oil is the occurrence of asphaltene precipitation and deposition, which can impede production. This work is an experimental study to examine the effects of cyclic (huff-n-puff) CO2 or N …

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Kuwaiti Carbonate Reservoir Oil Recovery Prediction Through Static Wettability Contact Angle Using Machine Learning Modeling, Saleh Al-Sayegh, Ralph E. Flori, Waleed Hussien Al-Bazzaz, Hasan Al-Saedi, Mostafa Al-Kaouri, Ali Qubian Jan 2023

Kuwaiti Carbonate Reservoir Oil Recovery Prediction Through Static Wettability Contact Angle Using Machine Learning Modeling, Saleh Al-Sayegh, Ralph E. Flori, Waleed Hussien Al-Bazzaz, Hasan Al-Saedi, Mostafa Al-Kaouri, Ali Qubian

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The objective of this study is to predict EOR efficiencies through static wettability contact angle measurement by Machine Learning (ML) modeling. Unlike conventional methods of measuring static wettability contact angle, the unconventional digital static wettability contact angle is captured and measured, then (ML) modeled in order to forecast the recovery based on wettability distribution phenomenon. Due to success in big data collection from reservoir imaging samples, this study applies data science lifecycle logic and utilizes Machine Learning (ML) models that can predict the recovery through wettability contact angles and thus identify the treatment of oil recovery for a candidate reservoir. …

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The Taphonomic Character, Occurrence, And Persistence Of Upper Permian–Lower Triassic Plant Assemblages In The Mid-Paleolatitudes, Bogda Mountains, Western China, Robert A. Gastaldo, Mingli Wan, Wan Yang Jan 2023

The Taphonomic Character, Occurrence, And Persistence Of Upper Permian–Lower Triassic Plant Assemblages In The Mid-Paleolatitudes, Bogda Mountains, Western China, Robert A. Gastaldo, Mingli Wan, Wan Yang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Bogda Mountains, Xianjiang Uygur Autonomous Region, Western China, Expose an Uppermost Permian–Lower Triassic Succession of Fully Continental Strata Deposited Across Three Graben (Half Graben) Structures in the Mid-Paleolatitudes of Pangea. a Cyclostratigraphy Scheme Developed for the Succession is Subdivided into Three Low-Order Cycles (Wutonggou, Jiucaiyuan, Shaofanggou). Low-Order Cycles Are Partitioned into 1838 High-Order Cycles based on Repetitive Environmental Changes, and their Plant Taphonomic Character is Assessed in . 4700 M of High-Resolution, Measured Sections Distributed Across ~ 100 Km. Four Taphonomic Assemblages Are Represented By: Permineralized Wood (Both Autochthonous and Allochthonous), Megafloral Adpressions (?parautochthonous and Allochthonous) Identifiable to Systematic …

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3d Cfd Simulation Of A Bubble Column With Internals: Validation Of Interfacial Forces And Internal Effects For Local Gas Holdup Predictions, Hayder Al-Naseri, Joshua P. Schlegel, Muthanna H. Al-Dahhan Jan 2023

3d Cfd Simulation Of A Bubble Column With Internals: Validation Of Interfacial Forces And Internal Effects For Local Gas Holdup Predictions, Hayder Al-Naseri, Joshua P. Schlegel, Muthanna H. Al-Dahhan

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

CFD Models (Turbulent Models and Interfacial Forces) Incorporated with the Population Balance Model (PBM) Have Been Validated, Azimuthally, with the Gamma-Ray-Computed Tomography (CT) Results to Address the Effect of the Presence of Internals with Different Arrangements and Diameters. the Superficial Gas Velocity Applied Was Varied from 0.05 to 0.45 M/s. the Results Exhibit the Capability to Predict the Hydrodynamics of the Bubble Column, Further Incorporating the Population Balance Model and Promoting the Prediction of Simulation in High Superficial Gas Velocity. the Effect of Internals Revealed that the Gas Holdup Was Significantly Enhanced in the Bubble Column's Wall Region, While the …

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Molecular Mechanism Study On The Effect Of Nonionic Surfactants With Different Degrees Of Ethoxylation On The Wettability Of Anthracite, Xuanlai Chen, Guochao Yan, You Zhou, Guang Xu, Xuyang Bai, Jiajun Li Jan 2023

Molecular Mechanism Study On The Effect Of Nonionic Surfactants With Different Degrees Of Ethoxylation On The Wettability Of Anthracite, Xuanlai Chen, Guochao Yan, You Zhou, Guang Xu, Xuyang Bai, Jiajun Li

Mining Engineering Faculty Research & Creative Works

A serious risk to the production safety of coal mines is coal dust. The wettability of coal may be successfully changed by adding surfactants to water. However, the creation of very effective dust suppressants is constrained by the lack of knowledge about the microscopic interaction mechanism between coal dust and surfactants. In this investigation, we explained macroscopic experimental phenomena from a molecular perspective. The lauryl polyoxyethylene ethers (C12 (EO)n, n = 7,15,23) were selected. The macromolecular model of anthracite with 55 different components was constructed. Surface tension experiments and hydrophilic lipophilic balance (HLB) calculations showed that the ability of surface …

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Effect Of Quantitative Textural Specifications On Vickers Hardness Of Limestones, Sasan Ghorbani, Seyed Hadi Hoseinie, Ebrahim Ghasemi, Taghi Sherizadeh Jan 2023

Effect Of Quantitative Textural Specifications On Vickers Hardness Of Limestones, Sasan Ghorbani, Seyed Hadi Hoseinie, Ebrahim Ghasemi, Taghi Sherizadeh

Mining Engineering Faculty Research & Creative Works

It is well-known that the indentation hardness property is influenced by micro-fabric characteristics. The effect of textural characteristics on Vickers indentation hardness is attempted to be interpreted in this research. For this purpose, 12 fresh limestone samples from various quarries were tested to determine the Vickers hardness. Thereafter, quantitative textural parameters were identified and characterized using image processing techniques and micro-fabric analysis based on microphotographs of thin sections. Microphotographs of the thin sections were reviewed and digital boundaries of the grains were clarified and drawn. After preparation and filtering of the digitized thin sections, four basic properties of each grain, …

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Evaluating Blast Wave Overpressure From Non-Spherical Charges Using Time Of Arrival From High-Speed Video, Kelly Williams, Catherine E. Johnson Jan 2023

Evaluating Blast Wave Overpressure From Non-Spherical Charges Using Time Of Arrival From High-Speed Video, Kelly Williams, Catherine E. Johnson

Mining Engineering Faculty Research & Creative Works

Scaled distance is used to predict blast wave overpressure surrounding the detonation of a known mass of explosive under the assumption that the charge geometry is spherical. Altering charge geometry from spherical overdrives regions of the blast wave resulting in areas of higher overpressures than predicted by scaled distance calculations. Empirical data can be used to scale the blast wave overpressure to cylindrical charges, but available overpressure data for more complex geometries is not available in published literature. In the present study the time of arrival of the blast wave was measured from high-speed video and the Rankine-Hugoniot relationship used …

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Patients Arms Segmentation And Gesture Identification Using Standalone 3d Lidar Sensors, Omar Rinchi, Nathanael Nisbett, Ahmad Alsharoa Jan 2023

Patients Arms Segmentation And Gesture Identification Using Standalone 3d Lidar Sensors, Omar Rinchi, Nathanael Nisbett, Ahmad Alsharoa

Electrical and Computer Engineering Faculty Research & Creative Works

The intelligent and autonomous learning of patients' activities will lead to an incredible progression toward future smart e-health systems. With the recent advances in artificial intelligence, signal processing, and computational capabilities; light detection and ranging (LiDAR) technology can play a significant role in enhancing the current patients' activity recognition (PAR) systems. In this paper, we propose confidential and accurate patient arms behavior monitoring using a standalone three-dimensional (3D) LiDAR sensor. Due to the unavailability of LiDAR data, we use a computer-programmed 3D simulator to generate virtual-LiDAR (V-LiDAR) 3D point cloud data that simulates real patient movements. These virtual data are …

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Securing The Transportation Of Tomorrow: Enabling Self-Healing Intelligent Transportation, Elanor Jackson, Sahra Sedigh Sarvestani Jan 2023

Securing The Transportation Of Tomorrow: Enabling Self-Healing Intelligent Transportation, Elanor Jackson, Sahra Sedigh Sarvestani

Electrical and Computer Engineering Faculty Research & Creative Works

The safety of autonomous vehicles relies on dependable and secure infrastructure for intelligent transportation. The doctoral research described in this paper aims to enable self-healing and survivability of the intelligent transportation systems required for autonomous vehicles (AV-ITS). The proposed approach is comprised of four major elements: qualitative and quantitative modeling of the AV-ITS, stochastic analysis to capture and quantify interdependencies, mitigation of disruptions, and validation of efficacy of the self-healing process. This paper describes the overall methodology and presents preliminary results, including an agent-based model for detection of and recovery from disruptions to the AV-ITS.

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A Physics-Based Model For Snapback-Type Esd Protection Devices, Xin Yan, Seyed Mostafa Mousavi, Li Shen, Yang Xu, Wei Zhang, Sergej Bub, Steffen Holland, Daryl G. Beetner Jan 2023

A Physics-Based Model For Snapback-Type Esd Protection Devices, Xin Yan, Seyed Mostafa Mousavi, Li Shen, Yang Xu, Wei Zhang, Sergej Bub, Steffen Holland, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

A simplified physical-based model for deep-snapback transient voltage suppressors (TVS) is developed in this article. While based on physics, the number of parameters and components is minimized, so the model can be tuned easily from available measurements of the packaged TVS. SPICE convergence issues seen in previous snapback device models are eliminated by adding nonlinear damping components to the model. No convergence issues were seen among any of the simulations performed for this study, which includes transmission-line pulse tests with multiple levels and rise times. The proposed model was used to represent two different TVS devices and was validated in …

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Miniature Optical Fiber-Tip High-Temperature Sensors Modified By Femtosecond Laser, Chen Zhu, Jie Huang Jan 2023

Miniature Optical Fiber-Tip High-Temperature Sensors Modified By Femtosecond Laser, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Miniature optical fiber-tip Fabry-Perot interferometric sensors fabricated by femtosecond laser micromachining for eliminating the additional Fresnel reflection and avoiding complicated amplitude modulation in the reflection spectra are demonstrated.

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Predicting Radiated Emissions From An Electrical Drive System, Giorgi Tsintsadze, Haran Manoharan, Daryl G. Beetner, Daniel Commerou, Brain Booth, Kerry Martin Jan 2023

Predicting Radiated Emissions From An Electrical Drive System, Giorgi Tsintsadze, Haran Manoharan, Daryl G. Beetner, Daniel Commerou, Brain Booth, Kerry Martin

Electrical and Computer Engineering Faculty Research & Creative Works

A Measurement-Based SPICE Model is Proposed to Predict Radiated Emissions from an Electrical Drive System over a Frequency Range from 20-300 MHz. the Model Combines a Model for the Radiated Emissions from the Cabling and Housings with a Model for Coupling Inside the Electrical Motor. the Electromagnetic Properties of the Cabling and Housings Were Captured with Measured S-Parameters. the Coupling Mechanisms Inside the Electrical Machine Were Represented using a Circuit- Element based Model. the Intent is to Provide Insight into How Coupling Mechanisms and Placement of Structures in the Motor Affect Radiated Emissions from the Drive System, and to Give …

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Challenges And Solutions For Automotive Ota Testing, Jiyu Wu, Yihong Qi, Penghui Shen, Wei Yu, Lie Liu, James L. Drewniak Jan 2023

Challenges And Solutions For Automotive Ota Testing, Jiyu Wu, Yihong Qi, Penghui Shen, Wei Yu, Lie Liu, James L. Drewniak

Electrical and Computer Engineering Faculty Research & Creative Works

OTA (Over-The-Air) Testing is Essential for Developing Assisted and Autonomous Driving Systems in Vehicles, as It Plays a Crucial Role in the Localization, Perception, and Intelligent Driving Capabilities of ICVs (Intelligent Connected Vehicles). Automotive Antennas, Typically Much Smaller in Size Than the Vehicle itself and Can Be Located in Various Positions, Require Spherical Near-Field Measurement for OTA Testing. While There Are Established Standards for OTA Testing Methods and Uncertainties for Mobile Devices, Base Stations, and Satellite Components, There Are Still Many Challenges in the OTA Testing of Automotive Systems. These Challenges, specifically in SISO (Single Input Single Output) and MIMO …

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A Thermal-Aware Dc-Ir Drop Analysis For 2.5d Ic, Shengxuan Xia, Baris M. Dogruoz, Yansheng Wang, Songping Wu, Siqi Bai, Chulsoon Hwang, Zhonghua Wu Jan 2023

A Thermal-Aware Dc-Ir Drop Analysis For 2.5d Ic, Shengxuan Xia, Baris M. Dogruoz, Yansheng Wang, Songping Wu, Siqi Bai, Chulsoon Hwang, Zhonghua Wu

Electrical and Computer Engineering Faculty Research & Creative Works

With the Trend of Higher Integration, 3D/2.5D IC Solutions Such as CoWoS (Chip-On-Wafer-On-Substrate) Have Become More Popular in Recent Years. Power Integrity (PI) is Always a Critical Part of the Design Especially When the Power Consumption Requirements Are Important Specs for High-Performance Computing. DC-IR Drop is One of the Criteria within Power Integrity Considerations. However, Ordinary Electrical-Only Simulation for DC-IR Drop Will Be an Underestimation Because It Neglects the Copper Conductivity Dropping Due to the Temperature Rising. Thus, an Engineering Solution for Electrical-Thermal Co-Simulation is Important to Help to Provide Both an Accurate PI Analysis and the Proper Mitigations of …

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Characterization And Modeling Of Sparkless Discharge To A Touch Screen Display, Jianchi Zhou, Cheung Wei Lam, Zhekun Peng, Daryl G. Beetner, David Pommerenke Jan 2023

Characterization And Modeling Of Sparkless Discharge To A Touch Screen Display, Jianchi Zhou, Cheung Wei Lam, Zhekun Peng, Daryl G. Beetner, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

Although Corona Discharge to a Touchscreen Display is Not Associated with the Spark, It Could Cause Soft and Hard Failures Due to Electromagnetic Coupling to Sensitive Electronics Beneath the Glass. Experimental Data Were Obtained to Characterize These Sparkless Discharges and an Equivalent Circuit Model Was Constructed to Predict the Resulting Coupling to Touchscreen Electronics. Measurements and Simulation Indicate that a Thinner Glass and a Higher Touchscreen Indium-Tin-Oxide (ITO) Sense Trace Impedance Both Lead to Higher ESD Risk by Delivering Higher Energy into the Sensing IC. a CST Co-Simulation Model is Proposed and is Shown to Model the Displacement Current Accurately. …

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Inverter Pq Control With Trajectory Tracking Capability For Microgrids Based On Physics-Informed Reinforcement Learning, Buxin She, Fangxing Li, Hantao Cui, Hang Shuai, Oroghene Oboreh-Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert Jan 2023

Inverter Pq Control With Trajectory Tracking Capability For Microgrids Based On Physics-Informed Reinforcement Learning, Buxin She, Fangxing Li, Hantao Cui, Hang Shuai, Oroghene Oboreh-Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert

Electrical and Computer Engineering Faculty Research & Creative Works

The increasing penetration of inverter-based resources (IBRs) calls for an advanced active and reactive power (PQ) control strategy in microgrids. To enhance the controllability and flexibility of the IBRs, this paper proposed an adaptive PQ control method with trajectory tracking capability, combining model-based analysis, physics-informed reinforcement learning (RL), and power hardware-in-the-loop (HIL) experiments. First, model-based analysis proves that there exists an adaptive proportional-integral controller with time-varying gains that can ensure any exponential PQ output trajectory of IBRs. These gains consist of a constant factor and an exponentially decaying factor, which are then obtained using a model-free deep reinforcement learning approach …

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