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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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WiFi for Privacy-Friendly Surveillance

WiFi for Privacy-Friendly Surveillance

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International Conference on Computing and Networking Technology (ICCNT)

作者： Akhilbaran Ghosh Arjun Chouksey Department of Computer Science and Engineering Academy Of Technology Adisaptagram Hooghly West Bengal India Department of Electronics & Communications Engineering Jabalpur Engineering College Jabalpur Madhya Pradesh India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

In the ongoing debate between surveillance necessity and privacy concerns, WiFi sensing emerges as a promising solution for efficient data monitoring while safeguarding personal privacy. Unlike traditional surveillance methods relying on camera recordings, WiFi sensing utilizes Channel State Information (CSI) data to detect specific movements, offering advantages such as reduced data storage and processing time. This paper explores the effectiveness of WiFi CSI data in detecting human interactions within radio waves, highlighting its practical usability and enhanced accuracy compared to Received Signal Strength (RSS) measurements. Leveraging Convolutional Neural Networks (CNNs), a blind machine learning paradigm, this study demonstrates the potential of WiFi sensing for human activity recognition (HAR). While previous HAR research predominantly focused on camera feeds and wearable devices, this study pioneers the application of CNNs to WiFi CSI data analysis, showing promising results for occupancy detection, activity recognition, and gesture identification. Although there is room for further improvement in accuracy, this research lays a solid foundation for future studies in the burgeoning field of WiFi sensing-based surveillance.

关键词： Data privacy Accuracy Surveillance Machine learning Cameras Sensors Human activity recognition Convolutional neural networks Wearable devices Wireless fidelity

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An Optimized Wireless Video Transmission in a Smart Agricultural Solutions 40

An Optimized Wireless Video Transmission in a Smart Agricult...

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40th National Radio Science Conference, NRSC 2023

作者： Naeem, Mohamed Aboul-Dahab, Mohamed Technology and Maritime Transport Computer Networks and Data Centre-Cairo Arab Academy for Science Cairo11799 Egypt Technology and Maritime Transport Department of Electronics and Communications Engineering. Arab Academy for Science Cairo11799 Egypt

ISBN: (纸本)9798350311440

Smart agriculture requires field sensing, especially video and photo transmissions, to detect severe issues in this field. Although the most suitable communication infrastructure is wireless transmission, the agriculture field suffers from severe diffraction and scattering of the wirelessly propagated waves. This paper proposes an optimization technique for improving wireless transmission in the agricultural environment by utilizing the most appropriate wireless impairment mitigation methods. The proposed technique adopts a joint wireless transmission optimization approach for both the client and the network sides. The amendment in the wireless transmission from the client-side perspective utilized the concurrent load balance over the heterogeneous wireless connections. While the refinement of the heterogeneous wireless network achieved better coverage by minimizing the number of propagating nodes by optimizing the propagating nodes' placement within the agricultural plot. The simulation, experiment, and results proved the effectiveness of the proposed solution for achieving better wireless video transmission performance. © 2023 IEEE.

关键词： Heterogeneous networks

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Mobile Application for Student Handbook Based on the Android Operating System 6

Mobile Application for Student Handbook Based on the Android...

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6th International Conference on computer and Information Sciences, ICCOINS 2021

作者： Abiodun, Y.A. Bature, U.I. Sani, D.M. Lawrence, J.N. Tahir, N.M. Department of Computer and Communications Engineering BauchiP.M.B 0248 Nigeria

ISBN: (纸本)9781728171517

This paper presents the design and implementation of the mobile student handbook for the department of computer and communications engineering (DCCE), Abubakar Tafawa Balewa University (ATBU). The book was aimed at providing students with specific information for the curriculum of the department that indicates their structures as given by the Minimum Academic Standard of the National Universities Commission (NUC-MAS) Nigeria. It provides information on the brief history of the department, entry requirement, grading system, graduation requirements among many. The Conventional student handbook is a hard copy that is not easy to carry alone all the time, hard to manage, prone to damage, and easy to being misplaced. To address this setback, a software application of a student handbook is developed using Android SDK. This will help to provide an easy-to-use, interactive, and portable means for simple access to the department's curriculum structure that will assist students during their academic pursuits. The user evaluation process was employed to validate the application, this involved installations of the application to the mobile phone of 100 students and 20 staff. Results were recorded and shown in both graphs and tabular format. This application provides basic features of the DCCE's curriculum like the courses and their pre-requisites for all levels, grading system, degree nomenclature, graduation requirements, and examination guidelines, etc. Moreover, it is an all-in-one offline mobile application that was meant to resolve basic issues. In the future, the link to the university website should be incorporated for further access to information. © 2021 IEEE.

关键词： Students

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SIW-Based Reflectarray Cell as a Means of Reducing Local Periodicity Approximation Errors

SIW-Based Reflectarray Cell as a Means of Reducing Local Per...

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European Conference on Microwave

作者： Andrés Gómez-Álvarez Nicolò Delmonte Lorenzo Silvestri Maurizio Bozzi Manuel Arrebola Marcos R. Pino Group of Signal Theory and Communications Universidad de Oviedo Spain Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

ISBN: (数字)9782874870774

ISBN: (纸本)9798350385892

A new reflectarray unit cell based on a SIW cavity resonator is presented at 18.7 GHz. It features a full cycle of phase shifting and low losses with simple manufacturing requirements. By relying on a resonant cavity instead of more typical open resonant elements, inter-cell coupling effects are reduced. This is validated by simulating the cell in a semi-periodic environment. The response of the cell is estimated from its surface fields under plane-wave excitation for different levels of aperiodicity. The same process is followed for a printed patch unit cell, observing that it is significantly more influenced by its environment.

关键词： Microwave antennas Couplings Geometry Europe Reflector antennas Approximation error Cavity resonators Manufacturing Phase distortion Surface treatment

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Multi-RIS Intelligent Collaboration Empowered Secure MmWave D2D Communication

Multi-RIS Intelligent Collaboration Empowered Secure MmWave ...

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2024 IEEE Global communications Conference, GLOBECOM 2024

作者： Hu, Jiawei Ju, Ying Wang, Haoyu Liu, Lei Pei, Qingqi Guo, Yinbo Wu, Celimuge Xidian University School of Telecommunications Engineering Xi'an710071 China University of California Irvine Department of Electrical Engineering and Computer Science CA92697 United States Wuxi Jinyun Zhilian Technology Co. Ltd. Wuxi214122 China The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo182-8585 Japan

ISBN: (纸本)9798350351255

Millimeter wave (mmWave) Device-to-Device (D2D) communication networks suffer high path loss and dynamic physical obstructions. Meanwhile, eavesdroppers can intercept confidential information by residing in the main or side lobe of the transmission beam. Fortunately, multiple distributed Reconfigurable Intelligent Surfaces (RISs) offer a valuable approach to support mobile D2D devices, mitigating blocking effects and enhancing data security. In this paper, we propose a deep reinforcement learning (DRL) based communication scheme for the multi-RIS aided dynamic mmWave D2D networks, which aims to maximize the total secrecy data volume of D2D users over each service period by jointly optimizing the RIS resource allocation and multi-RIS phase shift design. To implement the intelligent collaboration of the RISs, we design the DRL approach with a nested structure. Specifically, we adopt a proximal policy optimization (PPO) network with discrete actions to realize the RIS-User association. Subsequently, we integrate the multi-agent PPO (MAPPO) framework to derive the phase shift design, containing intricate dynamic competition and cooperation among RIS agents. In addition, we divide the RIS into multiple subarrays, each sharing the same reflection coefficient. This approach controls more RIS phases while ensuring training stability. Simulation results demonstrate that our scheme can effectively learn the communication strategy to enhance the secrecy performance of dynamic mmWave D2D networks. © 2024 IEEE.

关键词： Resource allocation

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An Energy Optimization Algorithm for UAV-Assisted Satellite Mobile Edge Computing System

An Energy Optimization Algorithm for UAV-Assisted Satellite ...

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IEEE Conference on Wireless communications and Networking

作者： Chih-Hung Lu Jang-Ping Sheu Chi-Yu Hsieh Institute of Communications Engineering National Tsing Hua University Taiwan Department of Computer Science National Tsing Hua University Taiwan

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

In recent years, mobile edge computing (MEC) has become one of the most popular applications in the Internet of Things (IoT). With the help of satellite communications, MEC can be realized in remote areas. However, when transmitting directly to satellites, the energy consumption of IoT devices remains a challenge. This paper studies an unmanned aerial vehicle (UAV) assisted MEC system in which the UAV and satellite are both feasible MEC servers providing computation services. We aim to minimize the total energy consumption among all IoT devices by jointly determining the offloading decision and UAV's trajectory under the constraint of an energy budget. To tackle the problem, we utilize an existing heuristic algorithm for solving the classic Orienteering Problem and propose a dynamic programming algorithm to reduce the hovering cost of the UAV to serve more IoT devices. Simulation results show that the performance of the proposed algorithm is better than the baselines.

关键词： Energy consumption Satellites Multi-access edge computing Heuristic algorithms Simulation Autonomous aerial vehicles Trajectory

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Resource Allocation for FeMBB and eURLLC Coexistence in RSMA-Based Cellular Networks

Resource Allocation for FeMBB and eURLLC Coexistence in RSMA...

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IEEE Conference on Wireless communications and Networking

作者： Shiva Kazemi Taskou Mehdi Rasti Department of Computer Engineering Amirkabir University of Technology Tehran Iran Centre for Wireless Communications (CWC) University of Oulu Oulu Finland

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

This paper studies the Joint Resource block (RB) allocation and Power control (JRP) problem for the coexistence of further enhanced mobile broadband (FeMBB) and extreme ultrareliable low latency (eURLLC) services in rate splitting multiple access-based next-generation (e.g., 5G-Advanced and 6G) wireless networks. In the JRP problem, for each FeMBB user, a minimum data rate requirement is considered, and eURLLC users should meet their latency and reliability requirements. To address the JRP problem, we propose a hybrid deep reinforcement learning (HDRL-JRP) algorithm, in which a double dueling deep Q-network is employed for RB allocation and a deep deterministic policy gradient is used for power control. Via simulation results, the performance of the HDRL-JRP algorithm is demonstrated in terms of total data rate.

关键词： Cellular networks 6G mobile communication Enhanced mobile broadband Simulation Wireless networks Power control Deep reinforcement learning

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Optimality of the Bussgang Linear MMSE Channel Estimator for MIMO Systems with 1-Bit ADCs

arXiv

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arXiv 2024年

作者： Ding, Minhua Atzeni, Italo Tölli, Antti Swindlehurst, A. Lee Centre for Wireless Communications University of Oulu Finland Department of Electrical Engineering and Computer Science University of California Irvine United States

In this paper, we study the optimality of the Bussgang linear minimum mean squared error (BLMMSE) channel estimator for multiple-input multiple-output systems with 1-bit analog-to-digital converters. We compare the BLMMSE with the optimal minimum mean squared error (MMSE) channel estimator, which is generally non-linear, and we develop a novel framework based on the orthant probability of a multivariate normal distribution to compute the MMSE channel estimate. Then, we analyze the equivalence of the MMSE and BLMMSE channel estimators under specific assumptions on the channel correlation or pilot symbols. Interestingly, the BLMMSE channel estimator turns out to be optimal in several specific cases. Our study culminates with the presentation of a necessary and sufficient condition for the BLMMSE channel estimator to be optimal. © 2024, CC BY.

关键词： MIMO systems

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A Multi-Agent Digital Twin Framework for AI-Driven Fitness Coaching 25

A Multi-Agent Digital Twin Framework for AI-Driven Fitness C...

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Proceedings of the 2025 ACM International Conference on Interactive Media Experiences

作者： Monica (Monireh) Vahdati Kamran Gholizadeh HamlAbadi Fedwa Laamarti Abdulmotaleb El Saddik Multimedia Communications Research Laboratory (MCRLab) School of Electrical Engineering and Computer Science University of Ottawa Ottawa Ontario Canada Computer Vision Department Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) Abu Dhabi United Arab Emirates and Multimedia Communications Research Laboratory (MCRLab) School of Electrical Engineering and Computer Science University of Ottawa Ottawa Ontario Canada

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