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Guest Editorial Selected Papers From the 2023 IEEE International Solid-State Circuits Conference

IEEE Transactions on Biomedical Circuits and systems 2023年第6期17卷 1182-1184页

作者： Burdett, Alison Mohseni, Pedram Ghovanloo, Maysam Genov, Roman TSC-Connected Care OxfordshireOX14 4SA United Kingdom Case Western Reserve University Department of Electrical Computer and Systems Engineering ClevelandOH44106 United States Silicon Creations LLC LawrencevilleGA30043 United States University of Toronto Department of Electrical and Computer Engineering TorontoONM5S 3G4 Canada

The IEEE International Solid-State Circuits Conference (ISSCC) is the flagship conference of the IEEE Solid-State Circuits Society and the foremost global forum for presenting advances in solid-state circuits and systems-on-a-chip. Starting from 2010, the IEEE Transactions on Biomedical Circuits and systems has highlighted selected papers from ISSCC on topics related to biological and healthcare applications. This special section features five selected papers from ISSCC 2023, held in San Francisco, California, USA from February 19 to February 23, 2023.

关键词： Special issues and sections Solid state circuits Meetings

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What are Social Norms for Low-speed Autonomous Vehicle Navigation in Crowded Environments? An Online Survey

arXiv

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arXiv 2025年

作者： Golchoubian, Mahsa Ghafurian, Moojan Azad, Nasser Lashgarian Dautenhahn, Kerstin Department of Systems Design Engineering University of Waterloo Waterloo Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada Departments of Electrical and Computer Engineering and Systems Design Engineering University of Waterloo Waterloo Canada

It has been suggested that autonomous vehicles can improve efficiency and safety of the transportation systems. While research in this area often focuses on autonomous vehicles which operate on roads, the deployment of low-speed, autonomous vehicles in unstructured, crowded environments has been studied less well and requires specific considerations regarding their interaction with pedestrians. For making the operation of these vehicles acceptable, their behaviour needs to be perceived as safe by both pedestrians and the passengers riding the vehicle. In this paper we conducted an online survey with 116 participants, to understand people’s preferences with respect to an autonomous golf cart’s behaviour in different interaction scenarios. We measured people’s self-reported perceived safety towards different behaviour of the cart in a variety of scenarios. Results suggested that despite the unstructured nature of the environment, the cart was expected to follow common traffic rules when interacting with a group of pedestrians. Copyright © 2025, The Authors. All rights reserved.

关键词： Vehicle safety

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Revolutionizing Personalized Health: The Frontier of Wearable Biomolecule Sensors Through 3D Printing Innovation

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Biomedical Materials and Devices 2024年 1-17页

作者： Rajendran, Jerome Esfandyarpour, Rahim Department of Electrical Engineering and Computer Science University of California Irvine 92697 CA United States Laboratory for Integrated Nano BioElectronics Innovation The Henry Samueli School of Engineering University of California Irvine 92697 CA United States

This review article delves into the innovative intersection of 3D-printed technologies and wearable chemical sensors, highlighting a forward-thinking approach to biomarker monitoring. It emphasizes the transformative role of additive manufacturing in the development of wearable devices tailored for the precise detection of chemical biomarkers, crucial for proactive disease management and health assessment. By offering a detailed exploration of how 3D printing of nanomaterials contributes to pioneering sensor designs, this review underscores the practicality of sensor wearability, ensuring comfort and efficacy for users. We address the challenges of material resilience, sensor durability, and efficient data communication, while also charting the significant trends and future directions that promise to redefine the landscape of flexible and wearable chemical sensors. Through a comprehensive analysis, this article aims to showcase the pivotal advancements and ongoing innovations in the field, emphasizing the critical impact of 3D printing on enhancing personalized healthcare and wearable diagnostics. Graphical Abstract: (Figure presented.) © The Author(s) 2024.

关键词： 3D printing Biomarker monitoring Chemical sensors Flexible Personalized healthcare Wearable

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Prediction of a monolayer spin-spiral semiconductor:CoO with a honeycomb lattice

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Chinese Physics B 2023年第8期32卷 115-119页

作者：张杰宋姝诺张艳芳张余洋 Sokrates T.Pantelides 杜世萱 Institute of Physics and University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100190China Beijing National Laboratory for Condensed Matter Physics Beijing 100190China Department of Physics and Astronomy and Department of Electrical and Computer Engineering Vanderbilt UniversityNashvilleTennessee 37235USA Songshan Lake Materials Laboratory Dongguan 523808China

The recent successful fabrication of two-dimensional(2D)CoO with nanometer-thickness motivates us to investigate monolayer CoO due to possible magnetic properties induced by Co ***,we employ first-principles calculations to show that monolayer CoO is a 2D spin-spiral semiconductor with a honeycomb *** calculated phonon dispersion reveals the monolayer's dynamical *** CoO exhibits a type-I spin-spiral magnetic ground *** spinspiral state and the direct bandgap character are both robust under biaxial compressive strain(-5%)to tensile strain(5%).The bandgap varies only slightly under either compressive or tensile strain up to 5%.These results suggest a potential for applications in spintronic devices and offer a new platform to explore magnetism in the 2D limit.

关键词： spin-spiral semiconductor type-II multiferroic bandgap engineering monolayer CoO

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Smart Infant Monitoring System Using computer Vision and AI

Smart Infant Monitoring System Using Computer Vision and AI

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2023 IEEE International Conference on Electro Information Technology, eIT 2023

作者： Singh, Gurpreet Shekhar, Abhishek Raj Yu, Xinrui Saniie, Jafar Illinois Institute of Technology Embedded Computing and Signal Processing Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States

ISBN: (纸本)9781665493765

The new era of technology is being greatly influenced by the field of artificial intelligence. computer vision and deep learning have become increasingly important due to their ability to process vast amounts of data and provide insights and solutions in a variety of fields. computer vision, deep learning and signal analysis have been used in a growing number of applications and services including smart devices, image, and speech recognition, healthcare, etc., one such device is an infant monitoring system. It monitors the daily activities of the infant such as their sleeping patterns, sounds, and movements. In this paper, deep learning and computer vision libraries were used to develop algorithms to detect whether the infant was in any uncomfortable situation such as sleeping on its back, face being covered and whether the infant was awake. The smart infant monitoring system detects the infant's unsafe resting situation in real time and sent immediate alerts to the caretaker's device. This paper presents the design flow of a smart infant monitoring system consisting of a night vision camera, a Jetson Nano, and a Wi-Fi internet connection. The pose estimation and awake detection algorithms were developed and tested successfully for different infant resting/sleeping situations. The smart infant monitoring system provides significant benefits for safety and an improved understanding of infants' sleep patterns and behavior. © 2023 IEEE.

关键词： Face recognition

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Finite- Time Analysis of Asynchronous Multi-Agent TD Learning

Finite- Time Analysis of Asynchronous Multi-Agent TD Learnin...

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American Control Conference (ACC)

作者： Nicolò Dal Fabbro Arman Adibi Aritra Mitra George J. Pappas Department of Information Engineering University of Padova Department of Electrical and Computer Engineering Princeton University Electrical and Computer Engineering Department North Carolina State University Electrical and Systems Engineering Department University of Pennsylvania

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

Recent research endeavours have theoretically shown the beneficial effect of cooperation in multi-agent re-inforcement learning (MARL). In a setting involving $N$ agents, this beneficial effect usually comes in the form of an $N$ -fold linear convergence speedup, i.e., a reduction - proportional to $N$ - in the number of iterations required to reach a certain convergence precision. In this paper, we show for the first time that this speedup property also holds for a MARL framework subject to asynchronous delays in the local agents' updates. In particular, we consider a policy evaluation problem in which multiple agents cooperate to evaluate a common policy by communicating with a central aggregator. In this setting, we study the finite-time convergence of AsyncMATD, an asynchronous multi-agent temporal difference (TD) learning algorithm in which agents' local TD update directions are subject to asynchronous bounded delays. Our main contribution is providing a finite-time analysis of AsyncMATD, for which we establish a linear convergence speedup while highlighting the effect of time-varying asynchronous delays on the resulting convergence rate.

关键词： Temporal difference learning Delays Convergence

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A Reasoning Engine Architecture for Building Energy Metadata Management 13

A Reasoning Engine Architecture for Building Energy Metadata...

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13th International Conference on Information, Intelligence, systems and Applications, IISA 2022

作者： Kapsalis, Panagiotis Kormpakis, Giorgos Alexakis, Konstantinos Karakolis, Evangelos Mouzakitis, Spiros Askounis, Dimitris National Technical University of Athens Decision Support Systems Laboratory School of Electrical and Computer Engineering Athens Greece

ISBN: (数字)9781665463904

ISBN: (纸本)9781665463904

During the Buildings' lifecycle, massive amounts of data, that contain information related to their energy consumption, are generated. Towards the creation of smart building networks, this produced information must be intercepted and harmonized according to building ontologies and schemas. The pattern recognition from building metadata is based on inferencing and intelligent querying, that can be achieved with the utilization of graph and property databases that deploy and host building information. This paper presents a Reasoning Engine Architecture implemented in the context of the H2020 project called MATRYCS that persists building semantic information. It will be leveraged to support real life applications by improving the inference operations. © 2022 IEEE.

关键词： Energy efficiency

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Dispersion compensating fiber with Brillouin fiber laser generation

Dispersion compensating fiber with Brillouin fiber laser gen...

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2023 Al-Sadiq International Conference on Communication and Information Technology, AICCIT 2023

作者： Ali, Hasanain Naser Abd Harun, Sulaiman Wadi Arsad, Norhana Abdali, Taj-Aldeen Naser Al-Khaleefa, Ahmed Salih Hassan, Mustafa H Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Electrical Electronic and Systems Engineering Bangi Malaysia Faculty of Engineering University of Malaya Photonics Engineering Laboratory Department of Electrical Engineering Kuala Lumpur Malaysia University of Misan Department of Electronic Computer Center Misan Iraq University of Misan Faculty of Education Department of Physics Misan Iraq Imam Ja'afar Al-Sadiq University College of Information Technology Department of Computer Technical Engineering Al-Muthanna Iraq

ISBN: (纸本)9798350341881

Short linewidth light lasers are essential for a wide range of applications, including quantum computing, spectroscopy, and sensing. Stimulated Brillouin scattering is an intriguing method for achieving extremely coherent light laser output. The demonstration of an unstable pulsed Brillouin erbium fiber laser (BFL) operating at kHz is shown here. The BFL works at 1550.1 nm, which is 0.09 nm higher than the Brillouin pump wavelength since the dispersion compensating fiber was pumped over the 24.77 mW threshold. It has an extreme power of 0.7 dBm, a side-mode suppression ratio of 29 dB, and a pump power of 59.12 mW at 980 nm. Due to the intrinsic instability in relaxation oscillation, which generates the nonlinear self-pulsing mechanism in the BEFL cavity, the BEFL produced a pulse train running at 200.9 kHz with a 24.77 mW pump. The pulse frequency was raised to 3.02 MHz. The pump power has been increased to 59.12 mW. Yet, as the pump power was raised further, more than one pulse was produced. This is the first example of generating kHz pulses in a BFL cavity. The laser system is straightforward, small, and all-fiber. These are the attempts of experimental work to realize the BFL with Q-switched multi-wavelength output using a specific length of DCF to generate the pulses. © 2023 IEEE.

关键词： Fiber lasers

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Optimizing Polynomial-Time Solutions to a Network Weighted Vertex Cover Game

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 512-523页

作者： Jie Chen Kaiyi Luo Changbing Tang Zhao Zhang Xiang Li the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004 Yuxi Middle School Taizhou 317399China IEEE the College of Physics and Electronics Information Engineering Zhejiang Normal UniversityJinhua 321004China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004China the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433 the Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 201210China

Weighted vertex cover(WVC)is one of the most important combinatorial optimization *** this paper,we provide a new game optimization to achieve efficiency and time of solutions for the WVC problem of weighted *** first model the WVC problem as a general game on weighted *** the framework of a game,we newly define several cover states to describe the WVC ***,we reveal the relationship among these cover states of the weighted network and the strict Nash equilibriums(SNEs)of the ***,we propose a game-based asynchronous algorithm(GAA),which can theoretically guarantee that all cover states of vertices converging in an SNE with polynomial ***,we improve the GAA by adding 2-hop and 3-hop adjustment mechanisms,termed the improved game-based asynchronous algorithm(IGAA),in which we prove that it can obtain a better solution to the WVC problem than using a the ***,numerical simulations demonstrate that the proposed IGAA can obtain a better approximate solution in promising computation time compared with the existing representative algorithms.

关键词： Game-based asynchronous algorithm(GAA) game optimization polynomial time strict Nash equilibrium(SNE) weighted vertex cover(WVC)

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Sample efficient deep reinforcement learning for Diwata microsatellite reaction wheel attitude control

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Aerospace systems 2023年第1期6卷 61-69页

作者： Sarmiento, James-Andrew R. Tan, Vanessa H. Talampas, Marc Caesar R. Naval, Prospero C. Department of Computer Science University of the Philippines Quezon City Philippines Electrical and Electronics Engineering Institute University of the Philippines Quezon City Philippines Space Technology Missions and Systems Bureau Philippine Space Agency Quezon City Philippines

The Philippines has launched Diwata satellites to undertake different scientific missions. Low-orbit microsatellites are prone to external disturbances affecting their pointing accuracy;hence, an autonomous attitude control mechanism is vital to its operations. Deep reinforcement learning (DRL) has been proven effective in learning optimal control. There has been prior work regarding using DRL for the satellite’s reaction wheel attitude control in Mission, Attitude, and Telemetry Analysis (MATA)—a simulation environment using Unity for Diwata satellites. However, results show that the applied methods are sample inefficient and still underperform on specific metrics against Diwata’s current attitude control system. In addition, using Unity’s Machine Learning Agents toolkit (ML-Agents) limits the training to Soft-Actor Critic (SAC) and Proximal Policy Optimization (PPO). This study aims to extend the prior research using Twin-Delayed Deep Deterministic Policy Gradient (TD3) and Prioritized Experience Replay (PER) to improve the performance and sample efficiency of the satellite agent. The training was done using OpenAI Gym connected to the MATA simulation environment. We conclude that TD3-PER outperforms the algorithms of SAC, PPO, and PID of the prior study in both sample efficiency and control performance. © 2022, Shanghai Jiao Tong University.

关键词： Reinforcement learning

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