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arXiv 2024年

作者： Zhu, Miaomiao Chen, Pengxu Yang, Liang Boulogeorgos, Alexandros-Apostolos A. Tsiftsis, Theodoros A. Liu, Hongwu The School of Information Science and Electrical Engineering Shandong Jiaotong University Jinan250357 China The College of Computer Science and Electronic Engineering Hunan University Changsha410082 China The Department of Electrical and Computer Engineering University of Western Macedonia Kozani50100 Greece The Department of Informatics and Telecommunications University of Thessaly Lamia35100 Greece

Non-orthogonal multiple access (NOMA)-inspired integrated sensing and communication (ISAC) facilitates spectrum sharing for radar sensing and NOMA communications, whereas facing privacy and security challenges due to open wireless propagation. In this paper, active reconfigurable intelligent surface (RIS) is employed to aid covert communications in NOMA-inspired ISAC wireless system with the aim of maximizing the covert rate. Specifically, a dual-function base-station (BS) transmits the superposition signal to sense multiple targets, while achieving covert and reliable communications for a pair of NOMA covert and public users, respectively, in the presence of a warden. To maximize the covert rate, the transmission beamforming at BS and reflection beamforming at active-RIS are jointly designed, subject to quality-of-service (QoS) requirements of NOMA public user, constraint of Cramér-Rao bound for multi-target estimations, and covertness level against warden. Two superposition transmission schemes, namely, the transmissions with dedicated sensing signal (w-DSS) and without dedicated sensing signal (w/o-DSS), are respectively considered in the formulations of the joint transmission and reflection beamforming optimization problems. To this end, we develop the efficient methods involving several penalized Dinkelbach transformation to convert the non-concave covert rate maximization problems into feasible ones and propose an alternating optimization algorithm to obtain stationary solutions for the original problems. Numerical results demonstrate that active-RIS-aided NOMA-ISAC system outperforms the passive-RIS-aided and without-RIS counterparts in terms of covert rate and trade-off between covert communication and sensing performance metrics. Finally, the w/o-DSS scheme, which omits the dedicated sensing signal, achieves a higher covert rate than the w-DSS scheme by allocating more transmit power for the covert transmissions, while preserving a comparable multi-target s

关键词： Optimization

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Distributed Consensus Optimization via ADMM-Tracking Gradient 62

Distributed Consensus Optimization via ADMM-Tracking Gradien...

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62nd IEEE Conference on Decision and Control, CDC 2023

作者： Carnevale, Guido Bastianello, Nicola Carli, Ruggero Notarstefano, Giuseppe Alma Mater Studiorum Universita' di Bologna Department of Electrical Electronic and Information Engineering Bologna Italy School of Electrical Engineering and Computer Science and Digital Futures Kth Royal Institute of Technology Stockholm Sweden University of Padova Department of Information Engineering Via G. Gradenigo 6/B Padova35131 Italy

ISBN: (纸本)9798350301243

In this paper, we propose a novel distributed algorithm for consensus optimization over networks. The key idea is to achieve dynamic consensus on the agents' average and on the global descent direction by iteratively solving an online auxiliary optimization problem through the Alternating Direction Method of Multipliers (ADMM). Such a mechanism is suitably interlaced with a local proportional action steering each agent estimate to the solution of the original consensus optimization problem. The analysis uses tools from system theory to prove the linear convergence of the scheme with strongly convex costs. Finally, some numerical simulations confirm our findings and show the robustness of the proposed scheme. © 2023 IEEE.

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ROF systems performance efficiency based on continuous phase frequency shift keying phase modulation scheme

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Journal of Optical Communications 2024年第0期45卷 s417-s429页

作者： Eid, Mahmoud M. A. Sorathiya, Vishal Lavadiya, Sunil Abd El-Aziz, Ismail A. Asaduzzaman, Sayed Rehana, Hasin Ali Mohammed Ibrahim, Abd El-Naser Rashed, Ahmed Nabih Zaki Department of Electrical Engineering College of Engineering Taif University Taif Saudi Arabia Department of Information and Communication Technology Marwadi University Rajkot India Benha Faculty of Engineering Benha University Benha Egypt Department of Computer Science and Engineering Rangamati Science and Technology University Rangamati Bangladesh Department of Computer Science and Engineering University of Dhaka Dhaka Bangladesh Higher Institute of Electronic Engineering Belbeis Ministry of Higher Education 10th of Raman Belbeis Egypt Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf32951 Egypt

Radio over fiber (ROF) technique has been presented with hybrid ordinary modulation technology to achieve improvement in optical communication network performance. Fiber Bragg grating (FBG) is employed in single mode (SM) optical channel in order to enhance the transmission environment with dispersion compensation. The continuous phase frequency shift keying phase modulation (CPFSKPM) technique is included in this study. Both previous and proposed models have been inspected and investigated. Min. bit error rate (BER), max. Q factor, signal/noise ratio (SNR), received power (RP), and noise figure (NF) are the most essential parameters able to explain the behavior performance of optical communication network model. © 2021 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Fiber Bragg gratings

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A Review Paper on Face Recognition Techniques 9

A Review Paper on Face Recognition Techniques

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9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

作者： Rashid Al-Bakri, Ibrahim Mahmood Imran Ahmad, Muhammad Md Isa, Mohd Nazrin Zuhaer Nayef Al-Dabagh, Mustafa Universiti Malaysia Perlis Faculty of Electronic Engineering Technology Perlis Malaysia Telafer University Collage of Agriculture Telafer Iraq Knowledge University Department of Computer Science Erbil Iraq

ISBN: (纸本)9798350397376

The study of computer vision and pattern recognition is growing because of the various commercial and practical applications of these disciplines. Identification of individuals in a multitude, access control, forensics, and human-computer interactions are only among the topics studied by these areas. However, analyzing unconstrained face recognition poses ethical issues and privacy concerns. Many recent proposals employ Holistic Methods, Geometric Approach and Local-Texture Approach, methods and databases like ORL, FERET and AR Dataset to study constrained face recognition. At least some understanding of 2D perspective was achieved. This occurred in highly controlled environments where parameters such as camera angles, lighting and distance were strictly regulated. However, significant degradation in recognition performance occurred if the environment changed or the subject smiled or frowned. This critique discusses the technology utilized in face recognition, as well as the databases of methods that utilize this technology. To help guide future research, this article discusses current knowledge and suggests future directions for study in the field of facial recognition. © 2023 IEEE.

关键词： Face recognition

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Visual Anomaly Detection with Self-Attention and Separate Memory Bank

Visual Anomaly Detection with Self-Attention and Separate Me...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Kosaburo Hattori Hayata Kaneko Ryuto Ishibashi Tomonori Izumi Lin Meng Graduate School of Science and Engineering Ritsumeikan University Shiga Japan Department of Electronic and Computer Engineering Ritsumeikan University Shiga Japan

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Declining birthrate and aging populations are progressing all over the world. This has led to labor shortage, making visual inspections more challenging in various industries. Recently, visual anomaly detection methods using deep learning have been proposed to solve these problems. However, they are computationally expensive and difficult to infer in real-time, even in a GPU environment. In addition, while they detect structural anomalies (e.g., scratches and stains), logical anomalies (e.g., mis-position and mis-number) cannot be detected. This work proposes an anomaly detection method to detect both structural and logical anomalies with high speed by improving Patch Core. The proposal applies self-attention mechanism for the intermediate layer of the pre-trained Convolutional Neural Networks(CNN) model. Self-attention mechanism enables the model to understand the relationships between image features and detect logical anomalies. In addition, the global and local features are extracted from the intermediate layer of the pretrained CNN model and stored in Separate Memory Bank (SMB). SMB leads to improving AUROC, which represents accuracy, by calculating features for each feature type. It also avoids unnecessary upsampling and reduces the dimensionality, thus improving inference speed. Experiments validate the proposed method and compare previous anomaly detection methods. Experiments evaluate the performance of the proposal for the CAD-SD dataset and MVTec LOCO dataset, which contains structural and logical anomalies. For Co-occurrence dataset, the experimental results show that the proposal achieves 98.5% (improving 2.2%) for AUROC and 16.1 (improving 66.6%) for FPS compared to the state-of-the-art method. Also, the experimental results show that the proposal achieves 82.8% (improving 0.9%) for MVTec-LOCO dataset. Hence, the proposal can contribute to the efficiency and automation of manufacturing, medical, and other fields.

关键词： Industries Visualization Accuracy Inspection Feature extraction Real-time systems Manufacturing Proposals Convolutional neural networks Anomaly detection

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A Novel Control Method for Single-Phase 25kV Solid-State Transformer for High-speed Railway Vehicle

A Novel Control Method for Single-Phase 25kV Solid-State Tra...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Kim, Dong-Uk Lee, Jaehong Lee, Seung-Hwan Lee, Junho Kim, Sungmin Hanyang University Department of Electronic Enginnering Ansan Korea Republic of University of Seoul School of Eletrical and Computer Engineering Seoul Korea Republic of Inter-Mobility Ansan Korea Republic of

ISBN: (纸本)9798350316445

This paper proposes a novel control method for the 4.2 MW single-phase Solid-State Transformer (SST). The purpose of the SST is to regulate the 25kV AC voltage to 3kV DC voltage for the inverter of the traction motor in a high-speed railway vehicle. The SST consists of many converters so that these converters have the form of Input-Series-Output-Series (ISOS) to configure a subsystem called a module. The several modules are connected as Input-Series-Output-Parallel (ISOP), and it configures the SST system. To control the ISOS and ISOP systems, a novel control method is proposed in this paper. Based on the energy control concept, all the capacitors in SST can be easily controlled. In addition, the energy balancing control method for the ISOS system is proposed. The proposed method is confirmed in a simulation and experimental results in a lab-scale prototype. © 2023 IEEE.

关键词： Balancing control Cascaded H-Bridge converter Dual-Active Bridge converter High-speed railway vehicle ISOP ISOS Solid-State Transformer (SST)

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Utilisation of Energy Storage System in Power System 11

Utilisation of Energy Storage System in Power System

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11th International Scientific Symposium on Electrical Power engineering, ELEKTROENERGETIKA 2022

作者： Medved, Dušan Kolcun, Michal Király, Jozef Shavolkin, Olexandr Shvedchykova, Iryna Department of Electrical Power Engineering Electrical Engineering and Informatics Technical University of Košice Mäsiarska 74 Košice041 20 Slovakia Department of Computer Engineering and Electromechanics Kyiv National University of Technologies and Design Kyiv Ukraine

ISBN: (纸本)9788055341040

This paper deals with the contribution of energy storage system (ESS) to power system. According to a distribution network parameters there were implemented elements that are very popular and common in power system configuration. For that reason a power network consisted of sources such as wind farm, photovoltaic farm and in specific undesirable condition the distribution network connection as a backup was considered as a power source. Load, in this power system, was considered of constant power. During the simulation, there was implemented energy storage system that compensate the missing power until the specific state of discharge, when the connection to distribution system (DS) was implemented. Simulations were realized in Matlab/Simulink environment where 48-hours interval of various states of above mentioned elements cooperation was investigated. Results were analyzed and the recommendations were mentioned in conclusion. © 2022 Technical University of Košice.

关键词： Energy storage

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DQ-WiAPDoM: A DQN-based AP Deployment Optimization Method for Wi-Fi FTM Positioning 2

DQ-WiAPDoM: A DQN-based AP Deployment Optimization Method fo...

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2nd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2023

作者： Liu, Zihao Li, Han Gao, Bo Xiong, Ke Fan, Pingyi Beijing Jiaotong University School of Computer and Information Technology Beijing China Engineering Research Center of Network Management Technology for High Speed Railway Ministry of Education School of Computer and Information Technology Beijing Jiaotong University Beijing China Tsinghua University Department of Electronic Engineering Beijing China

ISBN: (纸本)9798350348002

This paper focuses on how to optimize the deployment location of the anchor Wi-Fi access points (APs) in order to enhance the indoor positioning performance of the finetime measurement (FTM) protocol. Compared to conventional Wi-Fi positioning, FTM protocol is able to achieve relatively good indoor positioning performance since it estimates distance between a sender and its receiver with the flight duration of Wi-Fi signals. However, the FTM-based positioning accuracy in NLoS environments is still not high, which restricts its application in indoor scenarios. To this end, we formulate an optimization problem to maximize the total number of LoS paths by optimizing the locations of the anchor APs. To solve the problem, we propose a Deep Q-Network (DQN)-based AP deployment optimization method (DQ-WiAPDoM), which utilizes DQN to optimize the locations of APs such that the total number of LoS paths over all covered area is maximized. Experimental results show that DQ-WiAPDoM converges well and is able to reduce the average positioning error efficiently. © 2023 IEEE.

关键词： Wi-Fi

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A FSS Inverse Design Method Based on Output Space Mapping Enhanced ECM

A FSS Inverse Design Method Based on Output Space Mapping En...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Ziheng Tian Juntao Zhang Yu Kuang Qingsha S. Cheng Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

This paper proposes an inverse design method for frequency selective surfaces (FSS) based on an equivalent circuit model (ECM) and output space mapping (OSM) technique. The method establishes an OSM enhanced ECM model (forward model) to replace expensive electromagnetic (EM) simulations for FSS shielding effectiveness (SE) evaluation. Furthermore, an inverse model is proposed to predict FSS unit cell structure parameter values using specification-driven feature point sampling method. Experiment results demonstrate that FSS designs with shielding frequency between 2-18GHz can be efficiently predicted and verified by EM simulation.

关键词： Time-frequency analysis Design methodology Computational modeling Space mapping Predictive models Sampling methods Prediction algorithms Integrated circuit modeling Optimization Testing

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Temperature Sensor Based on a Pseudo-E Inverter Built with Metal-Oxide Thin-Film Transistors

Temperature Sensor Based on a Pseudo-E Inverter Built with M...

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International Conference on Display Technology, ICDT 2022

作者： Shi, Runxiao Wong, Man Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Presently reported is a temperature sensor using a pseudo-E inverter built with indium-gallium-zinc oxide thin-film transistors. The fabricated inverter exhibits good temperature sensitivity of 11.0 mV/ ℃ with rising temperature and 11.7 mV/ ℃ with falling temperature. The sensitivity originates from the change in the threshold voltage of the thin film transistors consisting of the inverter, and this change is further amplified by the inverter applying the proportional design. The area of the proposed temperature sensor is ~0.37 mm2, which shows potential in real-time and in-pixel temperature monitoring for display. © 2022, John Wiley and Sons Inc. All rights reserved.

关键词： Thin film transistors

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