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IEEE Conference on Wireless Communications and Networking

作者： Xuefei Li Mingzhe Chen Ye Hu Zhilong Zhang Danpu Liu Shiwen Mao Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijina China Department-of Electrical and Computer Engineering and Institute for Data Science and Computing University of Miami Coral Gables FL USA Department of Industrial and System Engineering University of Miami Coral Gables FL USA Department of Electrical and Computer Engineering Auburn University Auburn AL USA

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

In this paper, the problem of vehicle service mode selection (sensing, communication, or both) and vehicle connections within terahertz (THz) enabled joint sensing and communications over vehicular networks is studied. The considered network consists of several service provider vehicles (SPVs) that can provide: 1) only sensing service, 2) only communication service, and 3) both services, sensing service request vehicles, and communication service request vehicles. Based on the vehicle network topology and their service accessibility, SPVs strategically select service request vehicles to provide sensing, communication, or both services. This problem is formulated as an optimization problem, aiming to maximize the number of successfully served vehicles by jointly determining the service mode of each SPV and its associated vehicles. To solve this problem, we propose a dynamic graph neural network (GNN) model that selects appropriate graph information aggregation functions according to the vehicle network topology, thus extracting more vehicle network information compared to traditional static GNNs that use fixed aggregation functions for different vehicle network topologies. Using the extracted vehicle network information, the service mode of each SPV and its served service request vehicles will be determined. Simulation results show that the proposed dynamic GNN based scheme can improve the number of successfully served vehicles by up to 17% compared to a GNN based algorithm with a fixed neural network model.

关键词： Network topology Simulation Heuristic algorithms Graph neural networks Sensors Data mining Vehicle dynamics

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Density matrix exponentiation and sample-based Hamiltonian simulation: Non-asymptotic analysis of sample complexity

arXiv

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arXiv 2024年

作者： Go, Byeongseon Kwon, Hyukjoon Park, Siheon Patel, Dhrumil Wilde, Mark M. Department of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of School of Computational Sciences Korea Institute for Advanced Study Seoul02455 Korea Republic of Department of Computer Science Cornell University IthacaNY14850 United States School of Electrical and Computer Engineering Cornell University IthacaNY14850 United States

Density matrix exponentiation (DME) is a quantum algorithm that processes multiple copies of a program state σ to realize the Hamiltonian evolution e−iσt. While serving as a prototypical sample-based quantum algorithm, DME is a powerful tool for various quantum information processing tasks, such as quantum principal component analysis and Hamiltonian simulation. In this work, we present a detailed sample complexity analysis of DME and sample-based Hamiltonian simulation. In particular, we prove that the sample complexity of DME is no larger than 4t2/Ε, where t is the desired evolution time and Ε is the desired imprecision level, as quantified by the normalized diamond distance. We also establish a fundamental lower bound on the sample complexity of sample-based Hamiltonian simulation, which matches our DME sample complexity bound up to a constant multiplicative factor, thereby proving that DME is optimal for sample-based Hamiltonian simulation. Finally, we point out that the DME sample complexity analysis in Appendix A of [Kimmel et al., npj Quantum Information 3, 13 (2017)] appears to be incomplete, highlighting the need for the results presented here, given the extensive use of DME over the past decade since its original proposal. Copyright © 2024, The Authors. All rights reserved.

关键词： Hamiltonians

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Near-infrared electroluminescence of AlGaN capped InGaN quantum dots formed by controlled growth on photoelectrochemical etched quantum dot templates

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Photonics Research 2022年第1期10卷 33-40页

作者： XIONGLIANG WEI SYED AHMED AL MUYEED HAOTIAN XUE ELIA PALMESE RENBO SONG NELSON TANSU JONATHAN J.WIERER,JR. Center for Photonics and Nanoelectronics Department of Electrical and Computer EngineeringLehigh UniversityBethlehemPennsylvania 18015USA School of Electrical and Electronic Engineering The University of AdelaideAdelaideSA 5005Australia Institute for Photonics and Advanced Sensing The University of AdelaideAdelaideSA 5005Australia

Near-infrared electroluminescence of InGaN quantum dots(QDs)formed by controlled growth on photoelectrochemical(PEC)etched QD templates is *** QD template consists of PEC InGaN QDs with high density and controlled sizes,an AlGaN capping layer to protect the QDs,and a GaN barrier layer to planarize the *** transmission electron microscopy(STEM)of Stranski-Krastanov(SK)growth on the QD template shows high-In-content InGaN QDs that align vertically to the PEC QDs due to localized strain.A highAl-content A1_(0.9)Ga_(0.1)N capping layer prevents the collapse of the SK QDs due to intermixing or decomposition during higher temperature GaN growth as verified by *** of low-temperature(830℃)p-type layers is used to complete the p-n junction and further ensure QD ***,electroluminescence shows a significant wavelength shift(800 nm to 500 nm),caused by the SK QDs’tall height,high In content,and strong polarization-induced electric fields.

关键词： AlGaN polarization template

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Wireless,multimodal sensors for continuous measurement of pressure,temperature,and hydration of patients in wheelchair

引用

npj Flexible Electronics 2023年第1期7卷 479-493页

作者： Seokjoo Cho Hyeonseok Han Hyunwoo Park Sung-Uk Lee Jae-Hwan Kim Sung Woo Jeon Mengqiu Wang Raudel Avila Zhaoqian Xi Kabseok Ko Minsu Park Jungyup Lee Myungwoo Choi Je-Sang Lee Weon Gi Min Byeong-Ju Lee Soyeong Lee Jungrak Choi Jimin Gu Jaeho Park Min Seong Kim Junseong Ahn Osman Gul Chankyu Han Gihun Lee Seunghwan Kim Kyuyoung Kim Jeonghyun Kim Chang-Mo Kang Jahyun Koo Sung Soo Kwak Sungbong Kim Dong Yun Choi Seokwoo Jeon Hyung Jin Sung Yong Bae Park Minkyu Je Young Tae Cho Yong Suk Oh Inkyu Park Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea School of Electrical Engineering Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Advanced 3D Printing Technology Development Division Korea Atomic Energy Research InstituteDaejeon 34057Republic of Korea Department of Electrical and Computer Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsDalian University of TechnologyDalian 116023P.R.China Department of Mechanical Engineering Northwestern UniversityEvanstonIL 60208USA DUT-BSU Joint Institute Dalian University of TechnologyDalian 116023China Ningbo Institute of Dalian University of Technology Ningbo 315016China Department of Electronics Engineering Kangwon National UniversityChuncheon 24341Republic of Korea Querrey-Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIL 60208USA Sibel Health Inc NilesIL 60714USA Department of Materials Science and Engineering KAIST Institute for The Nanocentury(KINC)Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Department of Rehabilitation Medicine Gimhae Hansol Rehabilitation&Convalescent HospitalGimhae 50924Republic of Korea Department of planning and development Gimhae Hansol Rehabilitation&Convalescent HospitalGimhae 50924Republic of Korea Department of rehabilitation medicine Pusan national university hospitalBusan 49241Republic of Korea Department of AI Convergence Network Ajou UniversitySuwon 16499Republic of Korea Department of Electronic Convergence Engineering Kwangwoon UniversitySeoul 01897Republic of Korea Korea Photonics Technology Institute Gwangju 61007Republic of Korea School of Biomedical Engineering Korea UniversitySeoul 02841Republic of Korea Interdisciplinary Program in Precision Public Health Korea UniversitySeoul 02841Republic of Korea Center

Individuals who are unable to walk independently spend most of the day in a *** population is at high risk for developing pressure injuries caused by ***,early diagnosis and prevention of these injuries still remain ***,we introduce battery-free,wireless,multimodal sensors and a movable system for continuous measurement of pressure,temperature,and hydration at skin *** device design includes a crack-activated pressure sensor with nanoscale encapsulations for enhanced sensitivity,a temperature sensor for measuring skin temperature,and a galvanic skin response sensor for measuring skin hydration *** movable system enables power harvesting,and data communication to multiple wireless devices mounted at skin-cushion interfaces of wheelchair users over full body *** evaluations and numerical simulations of the devices,together with clinical trials for wheelchair patients,demonstrate the feasibility and stability of the sensor system for preventing pressure injuries caused by sitting.

关键词： injuries modal mounted

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Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data

Classification of Infant Sleep/Wake States: Cross-Attention ...

引用

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Kai Chieh Chang Mark Hasegawa-Johnson Nancy L. McElwain Bashima Islam Department of Electrical and Computer Engineering University of Illinois at Urbana Champaign USA Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign USA Department of Human Development and Family Studies University of Illinois at Urbana-Champaign USA Department of Electrical and Computer Engineering Worcester Polytechnic Institute USA

Infant sleep is critical to brain and behavioral development. Prior studies on infant sleep/wake classification have been largely limited to reliance on expensive and burdensome polysomnography (PSG) tests in the laboratory or wearable devices that collect single-modality data. To facilitate data collection and accuracy of detection, we aimed to advance this field of study by using a multi-modal wearable device, LittleBeats (LB), to collect audio, electrocardiogram (ECG), and inertial measurement unit (IMU) data among a cohort of 28 infants. We employed a 3-branch (audio/ECG/IMU) large scale transformer-based neural network (NN) to demonstrate the potential of such multi-modal data. We pretrained each branch independently with its respective modality, then finetuned the model by fusing the transformer layers with cross-attention. We show that multi-modal data significantly improves sleep/wake classification (accuracy = 0.880), compared with use of a single modality (accuracy = 0.732). Our approach to multi-modal mid-level fusion may be adaptable to a diverse range of architectures and tasks, expanding future directions of infant behavioral research.

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Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks

arXiv

引用

arXiv 2024年

作者： Kwak, Hee-Youl Yun, Dae-Young Kim, Yongjune Kim, Sang-Hyo No, Jong-Seon The Department of Electrical Electronic and Computer Engineering University of Ulsan Ulsan44610 Korea Republic of Samsung Electronics Co. Ltd. Hwasung18448 Korea Republic of The Department of Electrical Engineering Pohang University of Science and Technology Pohang37673 Korea Republic of The Institute for Convergence Research and Education in Advanced Technology Yonsei University Seoul03722 Korea Republic of The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The Department of Electrical and Computer Engineering INMC Seoul National University Seoul08826 Korea Republic of

Ensuring extremely high reliability in channel coding is essential for 6G networks. The next-generation of ultra-reliable and low-latency communications (xURLLC) scenario within 6G networks requires frame error rate (FER) below 10−9. However, low-density parity-check (LDPC) codes, the standard in 5G new radio (NR), encounter a challenge known as the error floor phenomenon, which hinders to achieve such low rates. To tackle this problem, we introduce an innovative solution: boosted neural min-sum (NMS) decoder. This decoder operates identically to conventional NMS decoders, but is trained by novel training methods including: i) boosting learning with uncorrected vectors, ii) block-wise training schedule to address the vanishing gradient issue, iii) dynamic weight sharing to minimize the number of trainable weights, iv) transfer learning to reduce the required sample count, and v) data augmentation to expedite the sampling process. Leveraging these training strategies, the boosted NMS decoder achieves the state-of-the art performance in reducing the error floor as well as superior waterfall performance. Remarkably, we fulfill the 6G xURLLC requirement for 5G LDPC codes without a severe error floor. Additionally, the boosted NMS decoder, once its weights are trained, can perform decoding without additional modules, making it highly practical for immediate application. The source code is available at https://***/ghy1228/LDPC_Error_Floor. © 2024, CC BY.

关键词： Decoding

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Engineered common environmental effects on multitransistor systems

引用

Physical Review B 2023年第7期107卷 075440-075440页

作者： Uthpala N. Ekanayake Sarath D. Gunapala Malin Premaratne Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA

In this paper, we analyze the impact of physically large baths used in terminals of thermal multitransistor systems formed using two-level systems (TLSs). In particular, we simulate the effects of a two-transistor system introduced as a thermal Darlington pair (DP). The size and proximity of the baths can cause multiple interactions with the transistor terminals represented by the TLS, not just the TLS directly connected to them. Such interactions can ultimately suppress the heat flows or impair the transistor action. However, we demonstrate that the DP model can achieve more than a 50% increase in heat flows. Using the engineered interactions leading to the correlated TLS-thermal bath interactions, we establish an incoherent (no quantum coherence in the density matrix at the steady state) yet correlated (joint excitation of two TLSs due to bath interaction) heat transfer model to a two-transistor arrangement in a substrate. This model helps us to interpret the environmental effects on the device by treating the common environment as separate thermal baths and all the transitions in the system as independent. We also show that this model can be mapped to contain dark-states. These dark-states can provide an external channel for transistor switching. We use this knowledge to design thermal counterparts of electronic AND and OR gates, and to study their switching time and operation, paving the way to realizing thermal logic gates.

关键词： Open quantum systems Quantum gates Thermal properties Nanotechnology Transistors

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Success Factors to Promote Digital Learning Platforms: An Empirical study From an Instructor’s Perspective

International Journal of Emerging Technologies in Learning

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International Journal of Emerging Technologies in Learning 2023年第9期18卷 32-48页

作者： Songkram, Noawanit Chootongchai, Suparoek Thanapornsangsuth, Sawaros Osuwan, Hathaiphat Piromsopa, Krerk Chuppunnarat, Yootthana Songkram, Nutthakorn Department of Education Technology and Communication Faculty of Education Chulalongkorn University Bangkok Thailand Learning Innovation for Thai Society Research Unit Chulalongkorn University Bangkok Thailand Institute for the Advanced Study of Sustainability United Nations University Tokyo Japan School of Environment and Society Tokyo Institute of Technology Tokyo Japan Department of Computer Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Center of Excellence: Siam Cultural Education: Social Innovation Research and Learning Chulalongkorn University Bangkok Thailand Department of Art Music and Dance Education Faculty of Education Chulalongkorn University Bangkok Thailand School of Agricultural Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

Digital learning platforms have been used as teaching aids in many countries;however, their success factors are not well established in Thailand. The primary objective of this study was to identify and confirm the success factors to promote digital learning platforms in Thailand from instructors’ perspectives. The sample included 788 Thai instructors. The confirmatory factor analysis (CFA) method indicates a good fit of a four-factor model to the observed data. The CFA construct revealed four success factors in promoting digital learning platforms: education policy, online classroom management, online learning system, and training method. The results explain the influence each of the four factors. Finally, this paper proposes guidelines for the promotion of digital learning platforms © 2023, International Journal of Emerging Technologies in *** Rights Reserved.

关键词： Factor analysis

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High Temperature Robustness of Enhancement-Mode p-GaN-Gated AlGaN/GaN HEMT Technology 9

High Temperature Robustness of Enhancement-Mode p-GaN-Gated ...

引用

9th IEEE Workshop on Wide Bandgap Power Devices and Applications, WiPDA 2022

作者： Yuan, Mengyang Xie, Qingyun Niroula, John Isamotu, Mohamed Fadil Rajput, Nitul S. Chowdhury, Nadim Palacios, Tomas Massachusetts Institute of Technology Microsystems Technology Laboratories CambridgeMA02139 United States Morgan State University Department of Electrical and Computer Engineering BaltimoreMD21251 United States Advanced Materials Research Center Technology Innovation Institute United Arab Emirates Bangladesh University of Engineering and Technology Department of Electrical and Electronic Engineering Dhaka1205 Bangladesh

ISBN: (数字)9781665489003

ISBN: (纸本)9781665489003

This paper reports on the high temperature (HT) robustness of enhancement-mode (E-mode) p-GaN-gated Al-GaN/GaN high electron mobility transistors (HEMTs), with an emphasis on the key transistor-level parameters for digital and analog mixed-signal applications. In-situ measurements from room temperature (RT) to 500 °C show that trends in Vth, RON, ID,max and IG,max are largely as expected based on first-order changes in the semiconductor properties. The fabricated transistors exhibited stable performance over 20 days at 500 °C. To the best of the authors' knowledge, this work is the first systematic study on the HT performance of E-mode p-GaN-gated AlGaN/GaN HEMTs, and sheds light on their use in mixed-signal and low-voltage power circuits. © 2022 IEEE.

关键词： III-V semiconductors

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Qi Standard Metasurface for Free-Positioning and Multi-Device Supportive Wireless Power Transfer

arXiv

引用

arXiv 2023年

作者： Wang, Hanwei Yu, Joshua Ye, Xiaodong Chen, Yun-Sheng Zhao, Yang Nick Holonyak Micro and Nanotechnology Laboratory The Electrical and Computer Engineering Department University of Illinois at Urbana-Champaign Urbana61801 United States The Electrical and Computer Engineering Department University of Illinois at Urbana-Champaign Urbana61801 United States The Beckman Institute for Advanced Science and Technology The Electrical and Computer Engineering Department University of Illinois at Urbana-Champaign Urbana61801 United States

Free-positioning and multi-user supportive wireless power transfer systems represent the next-generation technology for wireless charging under the Qi standard. Traditional approaches employ multiple transmitting coils and multi-channel driving circuits with active control algorithms to achieve these goals. However, these traditional approaches are significantly limited by cost, weight, and heating due to their relatively low efficiency. Here, we demonstrate an innovative approach by using a metasurface to achieve free-positioning and multi-user compatibility. The metasurface works as a passive device to reform the magnetic field and enables high-efficiency free-positioning wireless power transfer with only a single transmitting coil. It shows up to 4.6 times improvement in efficiency. The metasurface also increases the coverage area from around 5 cm by 5 cm with over 40% efficiency to around 10 cm by 10 cm with over 70% efficiency. We further show that the system can support multiple receivers. Besides increasing the overall efficiency, we demonstrate tuning the power division between the multiple receivers, enabling compensation of receivers of different sizes to achieve their desired power. © 2023, CC BY.

关键词： Efficiency

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