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Intrusion event recognition method for distributed fibre optic sensing systems based on Siamese networks

Cyber-Physical Systems 2024年

作者： Wang, Qiao Ren, Yanghui Li, Ziqiang Qian, Cheng Du, Defei Hu, Xing Liu, Dequan Northeast Sichuan Gas Mine Southwest Oil and Gas Field Company Petrochina Dazhou China Department of Quality Health Safety and Environmental Protection PetroChina Southwest Oil and Gas Field Company Chengdu China School of Optical Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China School of Electronic Information Engineering North China University of Science and Technology Langfang China

Due to its high sensitivity and wide measurement range, the distributed optical fibre sensing system has been widely used in long-distance infrastructure monitoring, where it detects vibration signals caused by external events and provides effective early warnings. Given the complexity and diversity of external intrusion events, traditional closed-set classification methods cannot effectively exclude unknown signals. Open-set recognition methods, on the other hand, involve complex model designs, requiring boundary Algorithms and often the inclusion of information related to unknown classes. In this paper, we combine a Siamese network with a residual network to recognise events in the distributed optical fibre sensing system. Through experiments, by comparing the similarity with data in the database, we not only ensure very high accuracy in closed-set classification but also effectively exclude unknown class signals. Experimental results show that our method successfully rejects unknown class data with a 92% success rate, while maintaining closed-set classification accuracy at an average of 99%. Our approach demonstrates excellent performance. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Fiber optic sensors

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Corrigendum to ‘Device-to-device communication in 5G heterogeneous network based on game-theoretic approaches: A comprehensive survey’ [J. Netw. Comput., Volume 238, June 2025, 104152] (Journal of Network and computer Applications (2025) 238, (S1084804525000499), (10.1016/***.2025.104152))

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Journal of Network and computer Applications 2025年 239卷

作者： Ahmad, Rana Zeeshan Rizwan, Muhammad Yousuf, Muhammad Jehanzaib Khan, Mohammad Bilal Almadhor, Ahmad Gadekallu, Thippa Reddy Abbas, Sidra Department of Information Technology University of Sialkot Sialkot Pakistan College of Science and Engineering University of Derby United Kingdom Software Research Institute Athlone Institute of Technology Ireland School of Electronic Engineering Xidian University Xidian China Department of Computer Engineering and Networks College of Computer and Information Science Jouf University Sakaka Saudi Arabia The College of Mathematics and Computer Science Zhejiang A&F University Hangzhou311300 China Division of Research and Development Lovely Professional University Phagwara India Centre of Research Impact and Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India Department of Computer Science COMSATS University Islamabad Sahiwal Pakistan

The authors regret the mistake in affiliation of Author Sidra Abbas. The correct affiliation is as follows: Sidra AbbasDepartment of computer Science, COMSATS University Islamabad, Sahiwal, Pakistansidraabbas@***:sidr...

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100 Gb/s NRZ OOK signal regeneration on a silicon chip

100 Gb/s NRZ OOK signal regeneration on a silicon chip

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CLEO: Science and Innovations, S and I 2022

作者： Wen, Hua Shun Cui, Jia Bin Zhou, Heng Chen, Yin Fang Jin, Ya Xu, Bo Rui Zhai, Kun Peng Sun, Jia Zheng Guo, Yuan Yuan Wu, Yan Ran Chen, Wen Chen, Wei Wang, Xin Zhu, Ning Hua Lu, Guo-Wei Ji, Gui Jun Zhou, Dennis Chi Cheng, Yiu-Kwok Yang, Da-Quan Li, Ming State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Information Photonics and Optical Communications School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Optical Fiber Sensing and Communication Networks School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Division of Computer Engineering The University of Aizu Fukushima965-8580 Japan Ltd. Zhuhai519000 China

All-optical regeneration of 100 Gb/s NRZ OOK signal with 3.6 dB extinction ratio and 0.5 dB quality factor improvements is experimentally demonstrated using a silicon waveguide with reverse-biased p-i-n junction for t... 详细信息

ISBN: (纸本)9781557528209

关键词： Amplitude shift keying

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Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments

Human Observation-Inspired Trajectory Prediction for Autonom...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Haicheng Liao Shangqian Liu Yongkang Li Zhenning Li Chengyue Wang Yunjian Li Shengbo Eben Li Chengzhong Xu State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science University of Macau Macau SAR China Department of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Departments of Civil and Environmental Engineering and Computer and Information Science State Key Laboratory of Internet of Things for Smart City University of Macau Macau SAR China State Key Laboratory of Internet of Things for Smart City and Departments of Civil and Environmental Engineering University of Macau Macau SAR China Faculty of Innovation Engineering Macau University of Science and Technology Macau SAR China School of Vehicle and Mobility Tsinghua University Beijing China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In the burgeoning field of autonomous vehicles (AVs), trajectory prediction remains a formidable challenge, especially in mixed autonomy environments. Traditional approaches often rely on computational methods such as time-series analysis. Our research diverges significantly by adopting an interdisciplinary approach that integrates principles of human cognition and observational behavior into trajectory prediction models for AVs. We introduce a novel “adaptive visual sector” mechanism that mimics the dynamic allocation of attention human drivers exhibit based on factors like spatial orientation, proximity, and driving speed. Additionally, we develop a “dynamic traffic graph” using Convolutional Neural Networks (CNN) and Graph Attention Networks (GAT) to capture spatio-temporal dependencies among agents. Benchmark tests on the NGSIM, HighD, and MoCAD datasets reveal that our model (GAVA) outperforms state-of-the-art baselines by at least 15.2%, 19.4%, and 12.0%, respectively. Our findings underscore the potential of leveraging human cognition principles to enhance the proficiency and adaptability of trajectory prediction algorithms in AVs.

关键词： Adaptation models Visualization Time series analysis Predictive models Cognition Trajectory Convolutional neural networks

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A Self-Powered Wireless Sensor System Using An Energy Harvester for Rotating Shaft Applications

A Self-Powered Wireless Sensor System Using An Energy Harves...

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Asia-Pacific Conference on Microwave

作者： Van Ai Hoang Yang Gon Kim Young Chul Lee Department of Marine Electronic Communication and Computer Engineering Mokpo National Maritime University Mokpo Rep. of Korea Division of Marine Mechatronics Mokpo National Maritime University Mokpo Rep. of Korea

In this paper, we present a self-powered wireless sensor system (WSS) integrated with an energy harvester (EH) to enable battery-free real-time monitoring of rotating shafts in ships. The EH implementation involved the use of multiple flexible coils and magnets, resulting in a power capability of 0.5 W. Subsequently, a comprehensive WSS was designed, incorporating four sensors, specifically tailored for the rotary shaft. To validate the system’s performance, the designed WSS was successfully deployed on a small-scale test bench system with a 200 mm shaft diameter, demonstrating real-time monitoring of the propulsion shaft status without the need for a battery.

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Payload protection on CubeSat based on GaN Power Transistor

Payload protection on CubeSat based on GaN Power Transistor

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IEEE Conference on Aerospace

作者： Ronald Hassib Galvis Chacón José Alexandre Diniz Saulo Finco School of Electrical and Computer Engineering (FEEC) University of Campinas (UNICAMP) Campinas Brazil Division of Projects Analysis and Qualification of Electronic Circuits (DIPAQ) Center for Information Technology Renato Archer (CTI) Campinas Brazil

Latching Current Limiter (LCL) is used in satellites to protect payloads. A CMOS power transistor is commonly used as a switching device in these types of circuits. The LCL limits the current under short-circuit conditions, isolates the fault to maintain the safety of the Electrical Power System (EPS). Nevertheless, its functionality can be lost due to the effects of radiation present in space. This condition can compromise the operation of the satellite. To improve radiation tolerance, Gallium Nitride (GaN) transistor can be used as the switching device because it has more radiation hardness than silicon transistors. In this work, two LCLs implemented with GaN transistors and with integrated control loop in 0.18μm CMOS technology are presented. The control loops were implemented with Low Voltage (LV) devices that support up to 3.3 V. LCLs have limitation current and trip-off time as adjustable protection parameters. Validation tests were carried out on circuit prototypes under short-circuit conditions, for different supply voltages. The LCLs presented a response time of less than 10μs and worked correctly in all the tests carried out.

关键词： Satellites Power transistors CMOS technology Turning Topology Transistors Gallium nitride

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Statistical Characterization of Cavity Quality Factor via the Stochastic Green’s Function Approach

Statistical Characterization of Cavity Quality Factor via th...

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IEEE International Symposium on Electromagnetic Compatibility (EMC)

作者： Shen Lin Yang Shao Zhen Peng Bisrat D. Addissie Zachary B. Drikas Dept. Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA Tactical Electronic Warfare Division U.S. Naval Research Laboratory Washington DC USA

There has been a strong interest in statistically characterizing the cavity quality factor (Q-factor) for large, complex enclosures. While there are existing methods for analyzing the Q-factor statistics due to distributed losses, there is currently little discussion about the statistical cavity Q-factor caused by localized losses, such as aperture leakage and absorptive loading. This paper presents a physics-oriented, hybrid deterministic-stochastic model that calculates the probability distribution of cavity Q-factor. The research work is evaluated and validated through representative experiments.

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Self-Power Devices for A Wireless Sensor System Measuring the Shaft Alignment

Self-Power Devices for A Wireless Sensor System Measuring th...

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International Conference on computer and Communication engineering, ICCCE

作者： Van Ai Hoang Yang Gon Kim Young Chui Lee Department of Marine Electronic Communication and Computer Engineering Mokpo National Maritime University Mokpo Rep. of Korea Division of Marine Mechalronics Mokpo National Maritime University Mokpo Rep. of Korea

In this work, we propose an energy harvester (EH) designed for wireless sensor system (WSS) applications on marine propulsion shafts. Two EH designs are presented: a flexible PCB-based EH and an EH with an integrated rotor and stator. The flexible PCB-based EH utilizes multiple magnets and flexible PCBs, achieving an average power of 2117.45 mW at a low speed of 100 rpm with a 3 mm air gap. This EH demonstrates that it is possible to implement a self-power WSS for real-time monitoring of a marine propulsion shaft. The second EH with a hollow circular tube, eight coils with 3,000 winding turns, and a 1.25T spherical magnet generates an average power of 303.21 mW at 100 rpm. The tube provides the fastest rolling of the magnet inside the tube which ultimately increases the electromotive force induced in the coils. This outstanding accomplishment demonstrates the potential of the proposed EH to create WSSs for marine shaft monitoring systems by collecting rotational energy during ship operations.

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An Energy Harvester Using Rolling Magnets with Integrated Rotor and Stator for Wireless Sensor System on a Marine Shaft

An Energy Harvester Using Rolling Magnets with Integrated Ro...

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International Symposium on Antennas and Propagation (ISAP)

作者： Van Ai Hoang Yang Gon Kim Young Chul Lee Department of Marine Electronic Communication and Computer Engineering Mokpo National Maritime University Mokpo Rep. of Korea Division of Marine Mechatroincs Mokpo National Maritime University Mokpo Rep. of Korea

In this paper, we introduce a novel energy harvester (EH) using rolling magnets, which can supply power to a wireless sensor system (WSS) for monitoring the status of rotating ship shafts. The EH consists of twelve coils and seven magnets, which generate energy from the shaft's motion and supply it to the WSS for monitoring the shaft system's status. We installed the EH on a 20 cm diameter shaft and obtained a transferred voltage of 0.84 V and an output power of 47.2 mW with 2000 turns of each coil, despite a rotation speed of 25 rpm and a 3 mm air gap. The proposed EH shows great potential for monitoring rotating shaft on ships.

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HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G

HDFRL-empowered Energy Efficient Resource Allocation for Aer...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Abegaz Mohammed Seid Hayla Nahom Abishu Aiman Erbad Mohsen Guizani Division of Information and Computing Technology College of Science and Engineering Hamad Bin Khalifa University Doha Qatar School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) Abu Dhabi UAE

A cyber-physical system (CPS) is a promising paradigm in 5G and future 6G networks that controls physical components through computing and communication while ensuring efficacy, intelligence, and security. The number of smart mobile devices or sensors in smart cities is growing very fast. These devices can process applications in real-time only for a short time due to limited resource capacity. The Mobile Edge Computing (MEC) paradigm is a prominent solution that allows devices to offload intensive tasks and allocate resources. However, the terrestrial MEC servers will be overwhelmed and unable to meet the requirements of 6G technologies for ultra-low-latency applications and mobile devices. Aerial-borne MEC servers have recently supported ultra-reliable, low-latency communication applications and mobile devices in an emergency scenario by providing resources and relaying them to a cloud server. In the intelligent aerial-enabled smart city CPS (S2CPS), decisionmaking tasks such as resource allocation, association, and ensuring trust between links are challenging, and the optimization problem is multi-objective. Therefore, we proposed a hierarchical, deep federated learning-empowered, energy-efficient resource allocation for aerial-enabled S2CPS to minimize the overall energy consumption while considering the quality of service of user devices and the privacy of task offloading in a dynamic environment. We validated the proposed framework through extensive simulations, proving it outperformed the baseline algorithms.

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