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A Universal Hybrid Precoding Scheme for Massive MIMO Communications

China Communications 2022年第11期19卷 160-178页

作者： Yimeng Feng Yi Jiang Mahesh K.Varanasi Key Laboratory for Information Science of Electromagnetic Waves(MoE) School of Information Science and TechnologyFudan UniversityShanghai 200433China the Department of Electrical Computer and Energy EngineeringUniversity of ColoradoBoulderColorado 80309-0425

Based on an analog radio frequency(RF)network,hybrid precoding(HPC)for massive MIMO can achieve very high spectral efficiencies with moderate hardware cost and power *** the extensive research efforts in recent years,the practioners are still looking for HPCs that are efficient and *** this paper,we present a new method termed as the universal hybrid precoding(UHP),which is nearly optimal,computationally efficient,and applicable to various types of RF network(thus,the name universal):the components of the network can be phase shifters(with finite or infinite resolutions),switches,or their combinations;the topology of the network can be fully-connected or *** the standard UHP,we also propose a simplified version termed as sUHP to trade a negligible performance loss for much reduced computational *** analysis shows that the computational complexity of the proposed UHP/sUHP is one to two orders of magnitude lower than the state-of-theart *** results verify the(near-)optimality of the proposed UHP scheme for various forms of the analog networks.

关键词： hybrid beamforming massive MIMO phase-shifter network switch network

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Ensuring FHIR Authentication and Data Integrity by Smart Contract and Blockchain Enabled NFT 23

Ensuring FHIR Authentication and Data Integrity by Smart Con...

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7th International Conference on Medical and Health Informatics, ICMHI 2023

作者： Yang, Ching-Nung Kuo, Hsin-Chuan Cheng, Hsiang-Han Department of Computer Science and Information Engineering National Dong Hwa University Taiwan

ISBN: (纸本)9798400700712

department of computer science and information engineering, National Dong Hwa University, Taiwan Smart healthcare, based on new information technology (such as IoT, AI, cloud computing), makes healthcare more intelligent, efficient and convenient. To integrate these ICT technologies and various data sources together, the fast healthcare interoperability resources (FHIR) defines an interoperability standard that different healthcare systems can exchange data with differing systems. Recently, more and more countries adopt FHIR for medical data exchange across various medical institutions, e.g., clinics, primary care physician, insurance company, hospital, etc. Overall, FHIR is suitably used for variety of medical applications. However, FHIR does not mandate using a single solution for security and privacy. In this paper, we use (F)HIR and (E)thereum smart contract to ensure data Integrity in (E)MR (FEE). In the proposed FEE, the hash value of EMR data is uploaded on blockchain. Whenever the medical records are modified and updated, the new hash value on blockchain will be refreshed to prevent malicious modification and tampering. Meantime, in the FEE, we also adopt blockchain enabled non-fungible token (NFT) for user authentication. All the login records and authentication results are also stored on blockchain, and thus malicious logins can be backward traced. © 2023 ACM.

关键词： Smart contract

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Modelling and Comparative Analysis of Robust Fuzzy Controllers for LFC of an Islanded AC Microgrid 3

Modelling and Comparative Analysis of Robust Fuzzy Controlle...

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3rd IEEE International Conference on Industrial Electronics: Developments and Applications, ICIDeA 2025

作者： Bhatta, Sunil Kumar Sahu, Prakash Chandra Swain, Sarat Chandra Sahoo, Buddhadeva Sahoo, Amiya Kumar KIIT Polytechnic Department of Electrical Bhubaneswar India School of Electrical and Comp. Science Indian Institute of Technology Bhubaneswar India School of Electrical Engineering KIIT Deemed to be University Bhubaneswar India SR University Department of Electrical & Electronics Engineering Telengana Warangal506371 India Department of Computer Science Aryan Institute of Engineering & Technology Bhubaneswar India

ISBN: (纸本)9798331533205

The innovative research work presented in this manuscript addresses different Fuzzy ruled based controllers as closed frequency stabilization loop of an energy efficiented stand alone Microgrid. The Microgrid model recommended for this investigation is single area based where several distributed generation (DG) featured power producing setups are assembled together. After assembling all DG s to a common platform, the established grid is known as the microgrid. The term microgrid comes from the micro-MW generating capability of the this grid by combining all capacity of all connected individual DGs. The DGs like wind electricity plant, Solar photovoltaic (PV) electricity generating system, micro-tubine, Fuel-cell, Geo-thermal, diesel-generator and thermo-electric generation system. The microgrid is also incorporated with energetic power accumulating banks like battery bank, Super-capacitor (ultra-capacitors) and flywheel system. The microgrid faces frequency instability problem when load dynamics and wind, solar power uncertainties come to the picture. The LFC makes an accurate control strategy to build quick stability over frequency dynamic. The LFC employs several fuzzy ruled controller such as conventional Fuzzy-PID (F-PID), Fractional ordered Fuzzy-PID (FO-FPID), Multi-stage Fuzzy PID (MS-FPID) and an ideal Type-2 Fuzzy PID (T2-FPID) controllers as secondary control loop for this study. The performance of all above discussed controllers are synthesized in an unique Vortex Search algorithm (VSA). © 2025 IEEE.

关键词： Membership functions

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Performance of Adaptive Offset Cancellation Method for UWB Indoor Positioning System

Performance of Adaptive Offset Cancellation Method for UWB I...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Huang, Yung-Fa Chang, Shu-Wai Sheu, Yung-Hoh Chaoyang University of Technology Department of Information and Communication Engineering Taichung Taiwan National Formosa University Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350324174

In this paper, the Ultra-Wideband (UWB) technology Angle of Arrival (AoA) are combined with Adaptive Offset Cancellation (AOC) method to improve indoor positioning performance for Non-Line-of-Sight (NLOS) environments. Experimental results show that the positioning error can be greatly reduced by the proposed MAOC (Moving Average filter AOC) for the test points (TPs). © 2023 IEEE.

关键词： Indoor positioning systems

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Improve Decision Making Efficiency in Ridesharing Systems through a Hybrid Firefly-PSO algorithm

Improve Decision Making Efficiency in Ridesharing Systems th...

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2023 IEEE World AI IoT Congress, AIIoT 2023

作者： Hsieh, Fu-Shiung Chaoyang University of Technology Department of Computer Science and Information Engineering Taichung Taiwan

ISBN: (纸本)9798350337617

The need for an agile ride matching algorithm for ridesharing systems calls for the development of an efficient solver. Many evolutionary algorithms were developed to solve ridesharing problems. Hybridization is an approach to improve quality of solutions in evolutionary algorithms. In this paper, we will study effectiveness of a hybridization scheme based on Firefly and PSO to improve efficiency in decision making of ridesharing systems. A hybrid Firefly-PSO algorithm has been developed for ridesharing problem. Several cases have been used to test the hybrid Firefly-PSO algorithm. Experiments have been performed to compare the results obtained by applying Firefly algorithm, PSO algorithm and hybrid Firefly-PSO algorithm. The results indicate that the hybrid Firefly-PSO algorithm improves efficiency in decision making. © 2023 IEEE.

关键词： Decision making

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IoT BotScan: Ultra-Lightweight AI Defense Against Botnet Threats

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IEEE Access 2025年 13卷 98771-98790页

作者： Sadhwani, Sapna Modi, Urvi Kavan Muthalagu, Raja Pawar, Pranav M Panthakkan, Alavikunhu Mansoor, Wathiq Birla Institute of Technology and Science Pilani Department of Computer Science Dubai Campus Academic City Dubai345055 United Arab Emirates University of Dubai College of Engineering and Information Technology Dubai United Arab Emirates

This research study examines the effectiveness of Deep Learning (DL) and Machine Learning (ML) algorithms in identifying BotNet attacks within network infrastructures. Various algorithms, including Random Forests (RF), Decision Trees (DT), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks, were evaluated using the N-BaIoT dataset, which encompasses multiple BotNet attack types. The findings indicate that ML models, specifically RF and K-Nearest Neighbors (KNN), demonstrate superior performance in terms of recall, precision, and overall accuracy compared to DL methods, with KNN achieving the highest accuracy of 99.94% followed by RF and ETC (99.55%). Among DL models, CNN has the highest accuracy (86.20%). The study focuses on multiclass classification (11 classes) and employs 10-fold cross-validation to enhance model robustness and mitigate overfitting. Notably, the research emphasizes the significance of feature engineering and selection techniques in enhancing model performance by identifying critical indicators of BotNet activity. A key contribution of this study is the lightweight RF approach, which minimizes the number of features to reduce complexity. The insights gained from this research provide valuable information for academics and cybersecurity practitioners, aiding in the development of proactive defenses against evolving BotNet threats and promoting the advancement of resilient security measures for network infrastructures. © 2013 IEEE.

关键词： Deep learning

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Analysis and Impact of Electromagnetic Field Leakage in WPT on Central Nervous System: A Neural Network Approach 4

Analysis and Impact of Electromagnetic Field Leakage in WPT ...

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4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Shukla, Garima Awasthi, Vanshaj Goswami, Prafull Singh, Sofia Amity School of Engineering and Technology Amity University Department of Computer Science and Engineering Maharashtra Mumbai India Indian Institute of Information and Technology Department of Computer Science and Engineering Sonipat India Amity School of Engineering and Technology Amity University Department of Artificial Intelligence Uttar Pradesh Noida India

ISBN: (纸本)9798350383997

The potential for wireless power transfer (WPT) technologies to transform the charging capabilities of a wide range of applications, from consumer electronics to medical devices has attracted a lot of attention. But uncertainties remain about how these technology's electromagnetic field (EMF) leakage affects human health, especially the central nervous system (CNS). To find a way to assess and forecast all of these consequences, this study explores at the possible effects of EMF leakage from WPT systems on the central nervous system (CNS) and suggests a distinctive approach that employs the applications for neural networks. Using real- world data and computational models, this study will produce an accurate model of EMF absorption and propagation in biological tissues, with a specific focus on the central nervous system. By focusing insights into potential risks to health and informing the emergence of requirements which assure the safe implementation of wireless power technologies, the research will enhance our understanding of the connections between EMF exposure and the central nervous system. The ultimate objective of this study is to encourage safer and more sustainable wireless charging technologies by enhancing the accuracy and efficiency of risk assessment in circumstances of EMF exposure from WPT systems through the implementation of Machine Learning (ML) strategies © 2024 IEEE.

关键词： Inductive power transmission

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Sweep Coverage with Faults 5

Sweep Coverage with Faults

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5th International Conference on Recent Advances in information Technology, RAIT 2023

作者： Dhar, Amit Kumar Gorain, Barun Mahawar, Madhuri Indian Institute of Technology Department of Electrical Engineering and Computer Science Bhilai India

ISBN: (纸本)9798350335705

Time variant coverage, called sweep coverage in wireless sensor networks has got attention from various re-searchers in recent time. In this problem, a set of mobile sensors are collectively monitoring certain area of interest (AoI). In various applications periodic monitoring of the AoI is sufficient. For a given time period, the objective of the sweep coverage problem is to find minimum number of mobile sensors so that the periodic monitoring can be guaranteed. This problem has been studied by various researchers in the context of point, area and barrier coverage problems. The sweep coverage problem on a graph is studied in [11]. In this problem, for a given input graph, minimum number of mobile sensors must be deployed such a way that all nodes of the graph must be visited by at least one mobile sensor. The sweep coverage problem is NP-hard and can not be approximated within a factor of 2 [16]. In this paper, we propose a fault-tolerant sweep coverage algorithm. For a given integer, using our proposed algorithm, the non-faulty sensors adjusted their movement and guarantees sweep coverage of all the nodes of an undirected weighted graph if at most sensors becomes faulty. © 2023 IEEE.

关键词： Fault tolerance

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Towards new realities: Implications of personalized online layers in our daily lives

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i-com 2024年第2期23卷 221-229页

作者： Herder, Eelco Stojko, Laura Strecker, Jannis Neumayr, Thomas Yigitbas, Enes Augstein, Mirjam Department of Information and Computing Sciences Utrecht University Utrecht Netherlands Department of Computer Science University of the Bundeswehr Munich Neubiberg Germany Institute of Computer Science University of St. Gallen St. Gallen Switzerland Research Group Personalized Environments and Collaborative Systems University of Applied Sciences Upper Austria Hagenberg Austria Faculty of Electrical Engineering Computer Science and Mathematics Paderborn University Paderborn Germany

We are currently in a period of upheaval, as many new technologies are emerging that open up new possibilities to shape our everyday lives. Particularly, within the field of Personalized Human-computer Interaction we observe high potential, but also challenges. In this article, we explore how an increasing amount of online services and tools not only further facilitates our lives, but also shapes our lives and how we perceive our environments. For this purpose, we adopt the metaphor of personalized 'online layers' and show how these layers are and will be interwoven with the lives that we live in the 'human layer' of the real world. © 2024 the author(s), published by De Gruyter, Berlin/Boston.

关键词： Human computer interaction

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Data Dependency of DeePC Performance: Case Study with Metro Trains 23

Data Dependency of DeePC Performance: Case Study with Metro ...

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23rd International Conference on Control, Automation and Systems, ICCAS 2023

作者： Kim, Seunghyeon Eun, Yongsoon Dgist Department of Electrical Engineering and Computer Science Daegu42988 Korea Republic of

ISBN: (纸本)9788993215274

Data-enabled Predictive Control (DeePC) allows controlling dynamic systems soley based on its input/output data. This approach is based on behavioral theory, which guarantees precise prediction of the output for given input as long as the collected input data satisfy Persistency of Excitation (PE) condition and the system is linear time invariant. In practice, however, DeePC faces to control nonlinear dynamics and it is necessary to investigate whether there is a preferred way of collecting input and output data for DeePC besides the PE condition. This paper investigate the issue using an Automatic Train Operation (ATO) simulator that represents existing metro train control systems including time delays and nonlinearities. We implement DeePC using two different datasets to control metro train. Comparison and discussion are provided. © 2023 ICROS.

关键词： Control nonlinearities

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