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IEEE Texas Power and Energy Conference (TPEC)

作者： Yuming Chen Hamid A. Toliyat Department of Electrical and Computer Engineering Advanced Electric Machines & Power Electronics (EMPE) Lab Texas A&M University College Station Texas USA

Inductive wireless power transfer (IPT) has brought convenience to many aspects of human life. Three-phase IPT has been proven with better performance in high-power applications. Three-phase IPT coil design is necessary to optimize the power transfer capability and efficiency. Also, interphase mutual inductance in three-phase IPT coils has been considered a problem. This paper analyzed the effects of the interphase mutual inductance using the phasor diagram approach. Two different cases with different coil structures have been discussed. A new three-phase IPT coil is proposed in this paper. With overlap coils in the center of the ferrite core, the proposed coil achieves very low interphase mutual inductance. A comparative study has been done for both the proposed coil and a regular unipolar coil. Simulation results show that the proposed coil has better power transfer capability than the regular unipolar coil.

关键词： Ferrites Inductance Simulation Wireless power transfer Integrated circuit modeling

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SOFT INJECTABLES USING SMART THREADS FOR DOSE-CONTROLLED DRUG DELIVERY

SOFT INJECTABLES USING SMART THREADS FOR DOSE-CONTROLLED DRU...

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2022 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2022

作者： Alsaedi, Mossab K. Das, Riddha Nejad, Hojatollah Rezaei Sharma, Atul Sonkusale, Sameer Nano Lab. Advanced Technology Laboratory Tufts University MedfordMA United States Department of Chemical and Biological Engineering Tufts University MedfordMA United States Department of Electrical and Computer Engineering Tufts University MedfordMA United States Department of Biomedical Engineering Tufts University MedfordMA United States

ISBN: (纸本)9781940470047

Transdermal drug delivery is a promising alternative to conventional drug delivery approaches, such as oral ingestion and hypodermic injection. Hypodermic injections are often painful, and oral ingestion of drugs requires the administration of doses higher than the needed to compensate for enzymatic degradation and poor absorption of drugs. Current transdermal drug-delivery platforms include microneedles, which resolve the pain aspect of conventional drug delivery approaches. However, microneedle patches are impractical as they are easily peeled off with motion and sweat. In this study, we propose soft injectables comprised of sutures that are loaded with drugs for painless and localized sustained drug delivery in the dermis layer of the skin. They stay in place during the course of delivery and are suitable for any skin type. © 2022 TRF.

关键词： Controlled drug delivery

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A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design

A Privacy Preserving and Byzantine Robust Collaborative Fede...

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IEEE International Conference on Communications (ICC)

作者： Nuocheng Yang Sihua Wang Mingzhe Chen Changchuan Yin Christopher G. Brinton Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral Gables FL USA School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Collaborative federated learning (CFL) enables device cooperation in training shared machine learning models without reliance on a parameter server. However, the absence of a parameter server also impacts vulnerabilities associated with adversarial attacks, including privacy inference and Byzantine attacks. In this context, this paper introduces a novel CFL framework that enables each device to individually determine the subset of devices to transmit FL parameters to over the wireless network, based on its neighboring devices' location, current loss, and connection information, to achieve privacy protection and robust aggregation. This is formulated as an optimization problem whose goal is to minimize CFL training loss while satisfying the privacy preservation, robust aggregation, and transmission delay requirements. To solve this problem, a proximal policy optimization (PPO)-based reinforcement learning (RL) algorithm integrated with a graph neural network (GNN) is proposed. Compared to traditional algorithms that use global information with high computational complexity, the proposed GNN-RL method can be deployed on devices based on neighboring information with lower computational overhead. Simulation results show that the proposed algorithm can protect data privacy and increase identification accuracy by 15% compared to an algorithm in which devices are partially clustered for model aggregation.

关键词： Training Privacy Federated learning Simulation Collaboration Clustering algorithms Propagation losses

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Optimized Vision Transformer Training using GPU and Multi-threading

Optimized Vision Transformer Training using GPU and Multi-th...

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Artificial Intelligence (CAI), IEEE Conference on

作者： Jonathan Ledet Ashok Kumar Dominick Rizk Rodrigue Rizk KC Santosh Center for Advanced Computer Studies University of Louisiana at Lafayette Lafayette LA USA Department of Electrical Engineering and Computer Science Catholic University of America Washington DC USA Department of Computer Science Applied AI Research Lab University of South Dakota Vermillion SD USA

ISBN: (数字)9798350354096

ISBN: (纸本)9798350354102

Traditional Convolutional Neural Networks (CNNs) often struggle with capturing intricate spatial relationships and nuanced patterns in diverse datasets. To overcome these limitations, this work pioneers the application of Vision Transformer (ViT) models which have gained significant attention in the field of computer vision for their ability to capture long-range dependencies in images through self-attention mechanisms. However, training large-scale ViT models with a massive number of parameters poses computational challenges. In this paper, we present an optimized approach for training ViT models that leverages the parallel processing capabilities of Graphics Processing Units (GPUs) and optimizes the computational workload distribution using multi-threading. The proposed model is trained and tested on the CIFAR-10 dataset and achieved an outstanding accuracy of 99.92% after 100 epochs. The experimental results demonstrate the effectiveness of our approach in optimizing training efficiency compared to existing methods. This underscores the superior performance of ViT models and their potential to revolutionize image classification tasks.

关键词： Training computer vision Multithreading Computational modeling Neural networks Graphics processing units Convolutional neural networks

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Transient Stability of Transmission and Distribution Grids with Grid-Forming Inverter-Based Resources: Phasor Domain Modeling

Transient Stability of Transmission and Distribution Grids w...

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IEEE General Meeting Power& Energy Society

作者： Xuheng Lin Ziang Zhang Reza Pourramezan Department of Electrical and Computer Engineering Binghamton University - Suny Binghamton NY U.S.A. Advanced Grid Innovation Lab for Energy New York Power Authority Albany NY USA

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

This paper presents phasor domain models for three distinct grid-forming (GFM) control strategies applied to inverter-based resources (IBR), including droop-based control, virtual synchronous machine (VSM) control, and dispatchable virtual oscillator control (dVOC). These control strategies address stability issues in low-inertia power systems, a prominent challenge amid the transition to renewable energy. The study addresses a research gap by investigating real-time phasor models for comprehensive renewable energy integration assessments, particularly in transmission and distribution systems (T&D), offering computational efficiency and precision. Two key contributions outlined by this paper include the development of a unified GFM phasor-domain model for real-time grid-level stability analysis and the introduction of a T&D co-simulation approach using the ePHASORSIM solver to explore the impact of different levels of IBR penetration on the stability of the system after a fault. This study aims to provide a better understanding of the generator-IBR interaction on T&D systems, offering a new tool for system planning and analysis.

关键词： Renewable energy sources Computational modeling Power system stability Stability analysis Real-time systems Planning Transient analysis Synchronous machines Oscillators Grid forming

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A Trade-Off Study Between the Primary and Transient Responses of Grid-Forming Inverters

A Trade-Off Study Between the Primary and Transient Response...

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Annual Conference of Industrial Electronics Society

作者： Xuheng Lin Xiaoge Huang Ziang Zhang Reza Pourramezan Department of Electrical and Computer Engineering Binghamton University - SUNY Binghamton NY U.S.A. Advanced Grid Innovation Lab for Energy New York Power Authority Albany NY USA

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

The control parameters of the grid-forming (GFM) inverter-based resources (IBRs) directly impact power system dynamics. The primary control requires the GFM inverter to balance generation and load. It is also preferred that a GFM inverter maintain the terminal frequency after a power system fault. In this paper, we investigate the trade-off between the primary control objective and the transient response. To quantify the transient performance of the GFM inverter, we introduce a new real-time transient stability index (TSI). This index plays a crucial role in our investigation, as it allows us to compare the performance trade-offs of different sets of GFM control parameters.

关键词： Transient response Stability criteria Reinforcement learning Power system stability Inverters Real-time systems Indexes Transient analysis Inverter-based resource Grid forming

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Operando FTIR study on water additive in lithium-sulfur batteries to mitigate shuttle effect

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Journal of Energy Chemistry 2024年第11期98卷 702-713页

作者： Érick A.Santos Martim C.Policano Manuel J.Pinzón Isabela Galantini Vanessa A.Goncalves Francisco C.B.Maia Lucyano J.A.Macedo Gustavo Doubek Renato G.Freitas Hudson Zanin Advanced Energy Storage Division Center for Innovation on New EnergiesSchool of Electrical and Computer EngineeringUniversity of CampinasAv Albert Einstein 400CampinasSP 13083-852Brazil Catalytic Processes and Materials Group Department of Chemical EngineeringFaculty of Science and TechnologyMESA+Institute for NanotechnologyUniversity of TwentePO Box 2177500 AE EnschedeThe Netherlands Centre for Cooperative Research on Alternative Energies(CIC EnergiGUNE) Basque Research and Technology Alliance(BRTA)Vitoria-Gasteiz 01510Spain Institute of Physics&Institute of Chemistry Laboratory of Computational MaterialsFederal University of Mato GrossoCuiabá78060-900MTBrazil Brazilian Synchrotron Light Laboratory Brazilian Center for Research in Energy and MaterialsCampinas 13083-970SPBrazil Advanced Energy Storage Division LABCenter for Innovation on New EnergiesSchool of Chemical EngineeringUniversity of CampinasAv Albert Einstein 500Campinas 13083-852SPBrazil

Additives in the electrolytes of Li-S batteries aim to increase overall capacity,improve Li ion conductivity,enhance cyclability,and mitigate the shuttle effect,which is one of the major issues of this ***,the use of water as an additive in the commonly used electrolyte,1.0 M LiTFSI/1.0%(w/w) LiNO_(3) and a 1:1 mixture of 1,3-dioxolane(DOL) and 1,2-dimethoxyethane(DME) was *** used Co_(2)Mn_(0.5)Al_(0.5)O_(4)(CMA) as an electrocatalyst anchored on an activated carbon(AC) electrode with added sulfur via a melt-diffusion *** structural analysis of CMA via Rietveld refinement showed interatomic spaces that can promote ionic conductivity,facilitating Li^(+) ion *** tests determined 1600 ppm as the optimal water concentration,significantly reducing the shuttle ***-mortem XPS analysis focused on the lithium metal anode revealed the formation of Li_(2)O layers in dry samples and LiOH in wet *** capacity was observed in wet samples,which can be attributed to the superior ionic conductivity of LiOH at the electrode/electrolyte interface,surpassing that of Li_(2)O by 12 ***,Operando FTIR experiments provided real-time insights into electrolyte degradation and SEI formation,elucidating the activity mechanisms of water and Li_(2)CO_(3) over the *** work presents results that could aid future advancements in Li-S battery technology,offering possibilities to mitigate its challenges with inexpensive and scalable additives.

关键词： Diffusion Li-S Ionic conductivity Operando FTIR

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Digital Twin Enabled Data-Driven Approach for Traffic Efficiency and Software-Defined Vehicular Network Optimization

Digital Twin Enabled Data-Driven Approach for Traffic Effici...

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IEEE Conference on Vehicular Technology (VTC)

作者： Mohammad Sajid Shahriar Suresh Subramaniam Motoharu Matsuura Hiroshi Hasegawa Shih-Chun Lin Department of Electrical and Computer Engineering Intelligent Wireless Networking Lab (iWN) North Carolina State University NC USA George Washington University WA USA University of Electro-Communications Tokyo Japan Nagoya University Nagoya Japan

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

In the realms of the internet of vehicles (IoV) and intelligent transportation systems (ITS), software defined vehicular networks (SDVN) and edge computing (EC) have emerged as promising technologies for enhancing road traffic efficiency. However, the increasing number of connected autonomous vehicles (CAVs) and EC-based applications presents multi-domain challenges such as inefficient traffic flow due to poor CAV coordination and flow-table overflow in SDVN from increased connectivity and limited ternary content addressable memory (TCAM) capacity. To address these, we focus on a data-driven approach using virtualization technologies like digital twin (DT) to leverage real-time data and simulations. We introduce a DT design and propose two data-driven solutions: a centralized decision support framework to improve traffic efficiency by reducing waiting times at roundabouts and an approach to minimize flow-table overflow and flow re-installation by optimizing flow-entry lifespan in SDVN. Simulation results show the decision support framework reduces average waiting times by 22% compared to human-driven vehicles, even with a CAV penetration rate of 40%. Additionally, the proposed optimization of flow-table space usage demonstrates a 50% reduction in flow-table space requirements, even with 100% penetration of connected vehicles.

关键词： Space vehicles Vehicular and wireless technologies System testing Transportation Data models Road traffic Real-time systems Digital twins Virtualization Vehicle dynamics

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DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection

DynaPP: A Dynamic Resolution Model with Patch Packing for Fa...

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International Joint Conference on Neural Networks (IJCNN)

作者： Changrok So Simon S. Woo Jong Hwan Ko Advanced Robotics Lab CTO Division LG Electronics Seoul South Korea Department of Artificial Intelligence Sungkyunkwan University Suwon South Korea Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Online video detection becomes more challenging with higher resolution as computational costs increase proportionally with increasing resolution. To address this issue, we present a novel approach, DynaPP, which arranges object candidate regions into a compact form. DynaPP performs resource-intensive whole-image inference only on sparse key frames, employing reduced resolutions for inference on other frames. Additionally, we propose transforming a 1-stage detector into a dynamic resolution model to facilitate frame inference at reduced resolutions. Here, the dynamic resolution model signifies a model capable of inferring all resolutions, distinguishing itself from typical models by not having restricted inferable resolutions. Unlike prior studies introducing new model structures for multi-resolution models, our work demonstrates that slight modifications to existing models can convert them to dynamic resolution models. DynaPP showcases substantial acceleration in video detection across four representative video datasets: AU-AIR (5.5×), UAVDT (3.67×), VisDrone (2.73×), and ImageNet VID (3.69×), while maintaining a mean average precision with a small loss (≤2.2). Furthermore, we observed that our method achieves a detection acceleration of up to 8.84×, depending on the video clip.

关键词： Image resolution Neural networks Detectors Computational efficiency

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Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence

Enhancing Approximate Message Passing via Diffusion Models T...

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IEEE International Conference on Communications Workshops, ICC

作者： Philip Dai Kai Yue Richeng Jin Tianfu Matt Wu Kaiqi Xiong Enloe High School Raleigh NC USA Department of Electrical and Computer Engineering NC State University Raleigh NC USA College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Intelligent Computer and Networking Security Lab and Cyber Florida University of South Florida Tampa FL USA

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

In this paper, we introduce a novel denoising-based approximate message passing framework augmented by a noise estimation module realized through a reverse diffusion process. This approach offers significant improvements in training simplicity, recovery quality, and inference efficiency, particularly suitable for deployment at mobile terminals in dynamic environments to facilitate edge computing. Extensive experiments verify the superiority of the proposed method over the state of the art, and demonstrate its potential towards sustainable edge computing and on-device intelligence at scale.

关键词： Training Message passing Conferences Computational modeling Noise Estimation Diffusion processes

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