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Toward a personalized autonomous transportation system:Vision,challenges,and solutions

The Innovation 2024年第6期5卷 47-49页

作者： Linlin You Mai Hao Jian Sun Yunpeng Wang Chunming Rong Chau Yuen Paolo Santi Carlo Ratti School of Intelligent Systems Engineering Sun Yat-Sen UniversityShenzhen 518107China Department of Traffic Engineering Tongji UniversityShanghai 200092China School of Transportation Science and Engineering Beihang UniversityBeijing 100083China Department of Electrical Engineering and Computer Science University of Stavanger4036 StavangerNorway School of Electrical and Electronics Engineering Nanyang Technological UniversitySingapore 639798Singapore Senseable City Lab Massachusetts Institute of TechnologyCambridgeMA 02139USA

The fragmented design of intelligent transportation systems creates isolated intelligent *** competition and information gaps are fierce and widespread,worsening traffic issues and degrading overall service ***,empowered by advanced technologies,an evolution toward an autonomous transportation system(ATS)is *** evolution aims to develop a collaborative and sustainable ecosystem,prompting interoperability within the cloud-edge-device continuum.

关键词： autonomous system prompt

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Temperature-Dependent Hydrogen Modulations of Ultra-Scaled a-IGZO Thin Film Transistor Under Gate Bias Stress

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2024年 5卷 9-16页

作者： Aslam, Muhammad Chang, Shu-Wei Chuang, Min-Hui Chen, Yi-Ho Lee, Yao-Jen Li, Yiming Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electrical Engineering National Cheng Kung University Tainan701401 Taiwan Institute of Communications Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Graduate Degree Program of College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Biomedical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan

Recently, a-IGZO has advanced toward the next-generation electronics system because of its compatibility with complementary metal oxide semiconductor (CMOS) and back-end-of-line (BOEL) based systems. A systematic electrical characterization of a-IGZO TFT related to reliability issues, such as positive bias temperature stress (PBTS) and negative bias temperature stress (NBTS), would entitle its integration into novel electronics systems. Unexpectedly, PBTS is characterized by the transition of positive Vth shift to negative Vth shift (ΔVth, the positive shift followed by the stress and temperature activated negative shift). This transition is attributed to charge trapping/trap-site generations and hydrogen migration to the active layer. The ΔVth shift mechanism depends on the temperature and voltage stress. On the other hand, a negative ΔVth shift has been observed during the NBTS operation and could be attributed to the hole trapping at the interface of GI/IGZO. An effective suppression of the gate leakage current has also been observed during reliability tests. Simulation results reveal a pronounced potential at the edges of source and drain regions, and considered the origin of hydrogen migration into the IGZO layer. Thermal image results also reveal the strong temperature/potential distribution at the edges of the source/drain regions, indorsing the simulation results. © 2020 IEEE.

关键词： Oxide semiconductors

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Distributed accelerated primal-dual neurodynamic approaches for resource allocation problem

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Science China(Technological Sciences) 2023年第12期66卷 3639-3650页

作者： ZHAO You HE Xing YU JunZhi HUANG TingWen College of Electronic and Information Engineering Southwest UniversityChongqing 400715China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China Science Program Texas A&M University at QatarDoha 2387Qatar

This paper investigates two distributed accelerated primal-dual neurodynamic approaches over undirected connected graphs for resource allocation problems(RAP)where the objective functions are generally *** the help of projection operators,a primal-dual framework,and Nesterov's accelerated method,we first design a distributed accelerated primal-dual projection neurodynamic approach(DAPDP),and its convergence rate of the primal-dual gap is O(1/(t^(2)))by selecting appropriate parameters and initial ***,when the local closed convex sets are convex inequalities which have no closed-form solutions of their projection operators,we further propose a distributed accelerated penalty primal-dual neurodynamic approach(DAPPD)on the strength of the penalty method,primal-dual framework,and Nesterov's accelerated *** on the above analysis,we prove that DAPPD also has a convergence rate O(1/(t^(2)))of the primal-dual *** with the distributed dynamical approaches based on the classical primal-dual framework,our proposed distributed accelerated neurodynamic approaches have faster convergence *** simulations demonstrate that our proposed neurodynamic approaches are feasible and effective.

关键词： accelerated primal-dual neurodynamic approaches RAP projection operators penalty method convergence rate O(1/(t^(2)))

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Online Information-Based Product Evolution Course Mining and Prediction

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International Journal of Information Technology and Decision Making 2024年第2期23卷 599-627页

作者： Chen, Yuh-Jen Chen, Yuh-Min Department of Accounting and Information Systems College of Business Intelligence National Kaohsiung University of Science and Technology Kaohsiung City Taiwan Institute of Manufacturing Information and Systems College of Electrical Engineering and Computer Science National Cheng Kung University Tainan City Taiwan

In today’s fiercely competitive business environment, product design and development play critical roles in an enterprise’s success;therefore, consumer demand must be understood. Enterprises used to understand their consumers’ demands through time-consuming questionnaire surveys and statistical analyses. As the Internet and the popularity of virtual communities have grown, more consumers are leaving comments about their perceptions of the appeal of products on online social media platforms, thus enabling enterprises to more objectively understand consumers’ product preferences and demands. Therefore, determining how to effectively assist enterprises in analyzing valuable information beneficial to product design and development that can be gleaned from the large amount of social media data available is critical to promoting an enterprise’s competitive advantage in the product market. However, previous studies have primarily focused on understanding consumer viewpoints of products through review articles or electronic word-of-mouth (eWOM;it is a common channel for spreading product appraisals) from online social media. For these review articles and eWOM that can imply consumer demand for product features, there were no relevant studies focused on analyzing consumer demand by using both online review articles and eWOM for product feature evolution. Therefore, for new product features, this study developed a mechanism for product evolution course mining from product-related review articles (such as product functions or specifications) and eWOM on online social media to realize the prediction of future product features or specifications, and then assist enterprises in rapidly and accurately grasping product development trends to effectively discern key reference information for product design and development. The study was achieved by (1) designing a process for online information-based product evolution course mining and prediction, (ii) developing techniques related to

关键词： Forecasting

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A Novel Substitution Ciphering Algorithm for Data Encryption 8

A Novel Substitution Ciphering Algorithm for Data Encryption

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Elazm, Lamiaa A. Abou Elazm, Atef Abou Siam, Ali I. Department of Microelectronics Cairo Egypt Menoufia University Faculty of Electronic Engineering Department of Electronics and Electrical Communications Engineering Egypt Kafrelsheikh University Faculty of Artificial Intelligence Department of Embedded Network Systems Technology Egypt

ISBN: (纸本)9798350376425

Modern digital communication relies heavily on text encryption to ensure secure communications and protect sensitive information. With the growth of the internet and digital communication, authorized and secure access has become more prevalent. Encryption is a way to protect this information by converting it into an unintelligible format, which can only be decrypted by authorized personnel with the appropriate encryption keys. In this paper, we propose a novel method for generating a new substitution lookup table that is resistant to known plaintext attacks and other cryptanalysis attacks. This method involves the use of cardinal tables to create a novel substitution lookup table. The proposed table provides a decimal code with a length varying from 3 to 5 digits for each alphabet letter. The nonlinear substitution of letters with new codes, generated from the proposed table, makes it suitable for data encryption and decryption. Sample messages are encoded with the proposed approach and the resulting encoded messages are compared with their ASCII codes. The obtained results with the novel table have been compared also with the conventional text encryption algorithms (Hill and Vigenere ciphering codes). The results show that the proposed lookup table gives the best histogram distribution, the lowest correlation coefficient, and the highest value of entropy results © 2024 IEEE.

关键词： Ciphertext

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Enhancing resilience of distribution systems through microgrid formation and integration of DERs using group teaching optimization algorithm 10

Enhancing resilience of distribution systems through microgr...

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10th International Conference on electrical Energy systems, ICEES 2024

作者： Hariharan, R. Thirumalai, M. Yuvaraj, T. Balamurugan, P. Devabalaji, K.R. Saveetha University SIMATS Engineering Saveetha Institute of Medical and Technical Sciences Department of Electrical and Electronics Engineering Chennai602105 India Saveetha Engineering College Department of Electronics and Communication Engineering Chennai602105 India Chennai Institute of Technology Centre for Smart Energy Systems Chennai600069 India Loyola Institute of Technology Department of Electrical and Electronics Engineering Chennai600123 India Vinayaka Mission's Research Foundation Aarupadai Veedu Institute of Technology Department of Electrical and Electronics Engineering Chennai603104 India

ISBN: (数字)9798350353778

ISBN: (纸本)9798350353778

As technology advances and distributed energy resources (DERs) become more common, electrical microgrids (MGs) will play an increasingly important role in future distribution grids. Radial distribution systems (RDS) are prone to problems, particularly after major natural disasters. To assess RDS resilience, a comprehensive approach is required. This paper proposes a novel approach that combines MGs and DERs with line hardening approaches to improve resilience under harsh operating conditions. It specifically integrates battery electric vehicles (BEVs), solar photovoltaic distributed generation (PV-DG), and battery energy storage systems (BESS) into a single IEEE 12-bus RDS. The goal is to improve the mentioned resilience metrics while also restoring all faulted loads. To optimize the system's objective, the group teaching optimization algorithm (GTOA) is used to determine the ideal PV-DG allocation. © 2024 IEEE.

关键词： Microgrids

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Improving the Structural Design of Flow Batteries Using Light-curable 3D Printing Technology 6

Improving the Structural Design of Flow Batteries Using Ligh...

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6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023

作者： Ho, Yin-Fan Chen, Mei-Ling Huang, Shu-Ling Wang, Yu-Qi Chiu, Ching-Che Liu, Zih-Lin Chen, Yi-Hsuan Chen, Shi-Xian National United University Program in Materials and Chemical Engineering Miaoli Taiwan National United University Department of Electrical Engineering Miaoli Taiwan National United University Department of Chemical Engineering Miaoli Taiwan National Chung Hsing University Department of Electrical Engineering Taichung Taiwan

ISBN: (纸本)9798350323535

Owing to the increasing global demand for energy storage, Redox Flow Battery (RFB) has become popular for large-scale energy storage. To reduce costs and time for R&D, we used light-curable 3D printing technology to manufacture flow field frames and components by applying technology related to RFB. As a result, a low-cost RFB based on cerium/iron electrolyte and TiO2-MnO2-modified electrodes was successfully fabricated. This result provides a basis for the development cycle and cost of RFBs. © 2023 IEEE.

关键词： Electrolytes

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Detecting Model Poisoning Attacks Via Dummy Symbol Insertion for Secure Over-the-Air Federated Learning 22

Detecting Model Poisoning Attacks Via Dummy Symbol Insertion...

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22nd IEEE Consumer Communications and Networking Conference, CCNC 2025

作者： Zhou, Hang Chiang, Yi-Han Chen, Caijuan Wang, Xiaoyan Ji, Yusheng National Institute of Informatics Information Systems Architecture Science Research Division Tokyo Japan Osaka Metropolitan University Department of Electrical and Electronic Systems Engineering Osaka Japan Graduate School of Science and Engineering Ibaraki University Hitachi Japan

ISBN: (纸本)9798331508050

With the rapid advancement of intelligent IoT services, the need for high-quality and efficient wireless communication has become increasingly critical for information exchanges and collaborations among intelligent edge devices such as autonomous mobile robots (AMRs), robots in smart factories, and surveillance cameras, etc., Federated Learning (FL) is a promising distributed learning framework by exploring the computation capability on edge devices while protecting data privacy of users. On the other hand, Over-the-Air (OTA) computation techniques is a new paradigm of integrated computation and communication. OTA based FL (OTA-FL) can enhance spectrum efficiency by leveraging the superposition properties of wireless channels for model aggregations. The implementation of OTA-FL on edge devices can further protect user data privacy for clients, improve the throughput of inter-device communications, and enhance the distributed learning performance. However, despite these advantages, the convergence of OTA-FL systems remain vulnerable to model poisoning attacks, presenting significant challenges. In this study, we address these vulnerabilities by proposing a two-phase detection mechanism that secures OTA-FL system while preserving high spectral efficiency. Our simulation results demonstrate that under varying conditions, our approach can make distributed learning more secure and communication-efficient. © 2025 IEEE.

关键词： Secure communication

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Data-driven finite-time adaptive attitude tracking control for spacecraft

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Advances in Space Research 2025年第12期75卷 8780-8791页

作者： Wang, Jianhui He, Guangping Bian, Guibin Geng, Shixiong College of Mechanical & Energy Engineering Beijing University Of Technology Beijing100124 China Department of Mechanical and Electrical Engineering North China University of Technology Beijing100144 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

This paper proposes a novel data-driven finite-time adaptive control method for the spacecraft attitude tracking control problem with inertial uncertainty. Based on the dynamic regression extension technique, the disturbance unit matrix is introduced, and the parameter estimation law in the form of algebraic equations is presented, which realizes the arbitrarily small convergence of parameter estimation error. The convergence of parameter estimation errors is verified through stability analysis. Globally non-singular fast terminal sliding mode control is designed to achieve finite-time arrival of the sliding surface and convergence of the system state error. The stability analysis of the closed-loop system demonstrates the effectiveness of the proposed method. Furthermore, the effectiveness and superiority of the proposed method are verified through numerical simulations of spacecraft attitude tracking control. © 2025 COSPAR

关键词： Attitude control

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Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid

Implementation of Multi-Agent Energy Management for Secondar...

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2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023

作者： Yoldas, Yeliz Onen, Ahmet Alawasa, Khaled El Haffar, Abdelsalam Ahshan, Razzaqul Islam, Md. Rabiul Muyeen, S.M. Noorfatima, Nadya Jung, Jaesung Kayseri University Department of Software Engineering Kayseri Turkey Sultan Qaboos University Department of Electrical and Computer Engineering Muscat Oman University of Wollongong School of Electrical Computer and Telecommunications Engineering NSW Australia Qatar University Electrical Engineering Department Doha Qatar Ajou University Department of Energy Systems Research Suwon Korea Republic of

ISBN: (纸本)9798350301571

The multi-agent energy management system (EMS) is needed to coordinate multiple agents of a microgrid to provide efficient operation of the system. In this study, multi-agent EMS is seen as the middle controller between primary and tertiary control levels. It is responsible for determining the relevant set points based on data gathered from the tertiary control level and sending them to the appropriate primary control level agents. The main objective of this paper is to propose a new optimization model for multi-agent EMS to minimize errors between the forecasted and real-time data at every predetermined time interval. Rather than using a traditional centralized microgrid controller to determine the dispatch of resources, a new framework-based multi-agent coordination is proposed to achieve the following objectives: minimizing load shedding, maximizing load dispatch and reliability, providing frequency, and maintaining voltage stability. © 2023 IEEE.

关键词： Dynamic energy management microgrid optimal control secondary control

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