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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

共 6263 条记录，以下是181-190 订阅

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A Comprehensive Performance Evaluation Method of the distributed Common Grounding Electrode 6

A Comprehensive Performance Evaluation Method of the Distrib...

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6th international conference on HVDC, HVDC 2024

作者： Jiang, Yutong Zheng, Zhihui Hu, Shangmao Liu, Gang Wu, Yongcong Cai, Hansheng Lu, Hailiang School of Electrical Engineering and Automation Wuhan University Wuhan China China Southern Power Grid Electric Power Research Institute Guangzhou China

ISBN: (纸本)9798350387759

Aiming to enhance the comprehensive performance of the distributed common grounding DC electrode, reduce the construction cost, and solve the problem of optimizing the topology of distributed common DC grounding electrode, a comprehensive performance evaluation method is proposed. In this paper, three evaluation indexes of the distributed common grounding electrode topology is established. Based on the parameters in Guangdong Province, the weight of each index is calculated by the Criteria Importance through Intercriteria Correlation and the Analytic Hierarchy Process, and the comprehensive performance of the typical topologies are evaluated by the Technique for Order Preference by Similarity to an Ideal Solution. the proposed evaluation method can effectively evaluate the comprehensive performance of the distributed common grounding electrode under different topologies, and the star topology shows better comprehensive performance. this study provides a reference for the selection of distributed common grounding electrode topology. © 2024 ieee.

关键词： comprehensive evaluation model distributed common grounding electrode evaluation index topological structure

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Modelling Virtual sensors for Indoor Environments with Machine Learning 18

Modelling Virtual Sensors for Indoor Environments with Machi...

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Polanski, Dawid Marek Angelopoulos, Constantinos Marios Bournemouth Univ Dept Comp & Informat Poole Dorset England

ISBN: (纸本)9781665495127

Virtual sensors model the sensing operation of physical sensors deployed in an area of interest by generating sensory data with accuracy and precision close to those collected by physical sensors. their use in applications such as augmenting the infrastructure of IoT facilities and test beds, monitoring and calibrating the operation of physical sensors, and developing Digital Twins of physical systems have led virtual sensors to attract research attention. Machine learning provides methods for modelling patterns in complex and big data generated by IoT sensing devices, allowing to model the behaviour of these devices. In this work, we investigate ML methods as means of implementation for virtual sensors. In particular, we evaluate the performance of six ML methods in terms of their effectiveness, accuracy and precision in generating sensory data based on data from physical sensors. In our study, we use a multi-modal dataset comprising IoT sensory data for temperature, humidity and illumination collected over a period of two years in an office space at University of Geneva. Our results show that the best performing model at predicting an output of a missing sensor is the Random Forest method, achieving MAPE error below 3%, 5% and 18% respectively for temperature, humidity and illuminance. the worst performing models were the linear radial basis function neural network and linear regression. In future research, we plan to deploy the best performing models natively on IoT devices, making use of tinyML and extreme edge computing methods.

关键词： Internet of things sensor Virtual sensor Machine Learning

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A New distributed Sliding Mode Controller Design for Multi-Agent systems 6

A New Distributed Sliding Mode Controller Design for Multi-A...

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6th international conference on Intelligent Autonomous systems, ICoIAS 2023

作者： Yin, Zuozhuang Wang, Yajun Zheng, Xiaoyuan Ji, Wenqiang Wang, Meng School of Artificial Intelligence Hebei University of Technology Tianjin China School of Information Science and Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9798350371253

this paper focuses on analyzing the issue of achieving asymptotic consensus in second-order multi-agent systems. the research introduces a novel dynamic sliding mode control technique that ensures the sliding surface is reached within a finite time. through simulation experiments, the viability of the suggested approach is validated. © 2023 ieee.

关键词： Multi agent systems

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A Fiber Optic Acceleration sensor for Low-Frequency Vibration Detection and Its Application in Reactor Vibration 6

A Fiber Optic Acceleration Sensor for Low-Frequency Vibratio...

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6th international conference on Energy systems and Electrical Power, ICESEP 2024

作者： Zhang, Shuainan Gao, Chaofei Liu, Jingzhou Wang, Wei School of Electrical and Electronic Engineering North China Electric Power University Beijing China School of Automation Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9798350353563

To address the limitations of piezoelectric accelerometers in measuring low-frequency vibrations under high-voltage conditions, this paper introduces a fiber optic accelerometer vibration sensor based on the Fiber Optic Extrinsic Fabry-Perot Interferometer (EFPI). After determining the material, size, and other parameters, modal and frequency response analyses of the sensitive unit were performed, revealing a natural frequency of 11,637 Hz. Additionally, COMSOL simulations were used to model the transmission of low-frequency vibration signals to the sensitive unit. the results demonstrated a strong correlation between the central displacement of the sensitive unit and the external vibration signals. A low-frequency vibration test platform was then constructed where both piezoelectric and fiber optic accelerometers were used to measure low-frequency vibration signals. the findings indicate that the fiber optic accelerometer is capable of measuring low-frequency vibration acceleration, with a sensitivity of approximately 1V/0.1g. Using this sensor, vibration tests were performed on a 25kV, 5.3kA high-voltage reactor. the measurements revealed that the vibration acceleration at the upper end of the reactor reached 0.53g, while at the side end it reached 0.21g. © 2024 ieee.

关键词： Fabry-Perot interferometers

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An Energy and Coverage-aware Optimal Routing Algorithm for Mobile Sink to Maximize Network Lifetime for Wireless sensor Networks 6

An Energy and Coverage-aware Optimal Routing Algorithm for M...

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6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： Gaje, Sathwik Jannu, Srikanth thuppari, Chaitanya Vaagdevi Engineering College Dept. of Computer Science and Engineering Telangana State Warangal506 005 India

ISBN: (纸本)9798350394702

Due to dynamic changes in the environment of underground coal mine (UCM), the mining area has become hazarodous that set down the miner lives in to high risk. therefore, there is a need of continuous monitoring the of the environment. With this motivation, we implement wireless sensor networks (WSN) within the coal mine region, to maximize UCM coverage. Moreover, due to the limitation of small battery of the sensor in WSNs, there is a research gap in addressing the problems of network lifetime. In this paper, we propose a method to solve the coverage area and network lifetime *** of a comparison between the proposed work and an existing algorithm indicate that the proposed algorithm outperforms the existing algorithm. © 2023 ieee.

关键词： Coal mines

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Time Synchronized sensor Network with ieee1588 for Vibration Measurement in Structural Health Monitoring of Railway System 6th

Time Synchronized Sensor Network with IEEE1588 for Vibration...

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6th international conference on Electrical Engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Jiang, Guotao Liu, Yong lv, Yu Wu, Haiyan CRRC Zhuzhou Electric Locomotive Research Institute Co. Ltd. Zhuzhou China

ISBN: (纸本)9789819993185

sensor network has become an important area of research and various new applications for remote sensing are expected to emerge. One of the promising applications is structural health monitoring of building or civil engineering structure and it often requires vibration measurement. For the vibration measurement via network, time synchronization is indispensable. this paper clarifies the importance of time synchronization of sensor network for vibration measurement. And the rationale of ieee1588 precision time protocol is described. A distributed synchronized measurement system based on the ieee1588 is presented in this paper and the test result are also introduced. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： sensor networks

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A distributed Multi-Channel Narrowband ANC System with Frequency Mismatch Correction 6

A Distributed Multi-Channel Narrowband ANC System with Frequ...

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6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Zhang, Xia Luo, Lei Zhu, Wenzhao Chongqing University Key Laboratory of Optoelectronic Technology and Systems Chongqing400044 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9798350353594

the centralized multi-channel narrowband ANC (CMNANC) system employed for noise reduction in a wide region is computationally complex. Moreover, the presence of frequency mismatches in the reference signal severely compromises noise reduction performance, potentially leading to system breakdown. To overcome these drawbacks, this paper proposes a distributed multi-channel narrowband ANC system with frequency mismatch correction (DMNANC-FMC), which introduces a frequency offset compensation algorithm based on the momentum least mean square technique. Additionally, its computational complexity is further simplified by exploiting the relative independence of individual nodes. Simulation results demonstrate that the proposed system effectively mitigates noise, even with up to a 20% frequency mismatch, while simultaneously reducing computational burden. © 2024 ieee.

关键词： Noise abatement

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Attacking and Defending DNP3 ICS/SCADA systems 18

Attacking and Defending DNP3 ICS/SCADA Systems

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Kelli, Vasiliki Radoglou-Grammatikis, Panagiotis Sesis, Achilleas Lagkas, thomas Fountoukidis, Eleftherios Kafetzakis, Emmanouil Giannoulakis, Ioannis Sarigiannidis, Panagiotis Univ Western Macedonia Dept Elect & Comp Engn Kozani 50100 Greece 0Infin Ltd Imperial Off London E6 2JG England Int Hellen Univ Dept Comp Sci Kavala Campus Kavala 65404 Greece Sidroco Holdings Ltd Petraki Giallourou 22Off 11 CY-1077 Nicosia Cyprus Eight Bells Ltd Agias Paraskevis 23 CY-2002 Nicosia Cyprus

ISBN: (纸本)9781665495127

the highly beneficial contribution of intelligent systems in the industrial domain is undeniable. Automation, supervision, remote control, and fault reduction are some of the various advantages new technologies offer. A protocol demonstrating high utility in industrial settings, and specifically, in smart grids, is distributed Network Protocol 3 (DNP3), a multi-tier, application layer protocol. Notably, multiple industrial protocols are not as securely designed as expected, considering the highly critical operations occurring in their application domain. In this paper, we explore the internal vulnerabilities-by-design of DNP3, and proceed with the implementation of the attacks discovered, demonstrated through 8 DNP3 attack scenarios. Finally, we design and demonstrate a Deep Neural Network (DNN)-based, multi-model Intrusion Detection systems (IDS), trained with our experimental network flow cyberattack dataset, and compare our solution with multiple machine learning algorithms used for classification. Our solution demonstrates a high efficiency in the classification of DNP3 cyberattacks, showing an accuracy of 99.0%.

关键词： cyberattack DNP3 ICS Intrusion Detection SCADA

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Research on distributed economic scheduling of power monitoring systems considering network attacks 6

Research on distributed economic scheduling of power monitor...

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6th international conference on Energy systems and Electrical Power, ICESEP 2024

作者： Song, Mingshu Yang, Yandong Yu, Xiangtao Luo, Zhengbang Zhang, Baoqing Li, Ming Shu, Fei State Grid Xinjiang Electric Power Co. Ltd. Urumqi China Kashi Power Supply Company State Grid Xinjiang Electric Power Co. Ltd Kashi China Kuytun Power Supply Company State Grid Xinjiang Electric Power Co. Ltd. Kuytun China Changji Power Supply Company State Grid Xinjiang Electric Power Co. Ltd. Changji China Electric Power Research Institute State Grid Xinjiang Electric Power Co. Ltd. Urumqi China

ISBN: (纸本)9798350353563

In recent years, distributed optimization algorithms have been increasingly applied to solve the economic scheduling problem of power monitoring system(PMS) because of their advantages of high flexibility, robustness and privacy. However, PMS based on distributed optimization architecture presents strong information-physical fusion characteristics, which greatly increases the probability and degree of being affected by network attacks, which brings great risks to the safe and stable operation of PMS. In this context, the PMS distributed economic scheduling problem considering DoS network attacks in communication networks is studied in this paper. In addition, this paper proposes a distributed robust economic scheduling strategy that can resist collusive and non-collusive attacks. A privacy protection protocol is embedded in the distributed algorithm to mask the real value of important update information transmitted between agents. this protocol can prevent attackers from stealing key information of economic scheduling to carry out further attacks, so as to mitigate the impact of network attacks on the economic and stability performance. © 2024 ieee.

关键词： Differential privacy

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SSPS 2024 - 2024 6th international Symposium on Signal Processing systems

SSPS 2024 - 2024 6th International Symposium on Signal Proce...

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6th international Symposium on Signal Processing systems, SSPS 2024

ISBN: (纸本)9798400716171

the proceedings contain 11 papers. the topics discussed include: a dynamic dictionary-based sparse reconstruction method for DOA estimation;method of weak communication signal detection and signal quality assessment at low SNR;Non-coherent fusion detection method for distributed MIMO radar based on modified ordered statistics;wavelet based multiscale deep learning algorithms for arctic sea ice melting prediction;deception detection system with joint cross-attention;a transformer-based method for the registration of terahertz security images with visible light images;multi-resolution convolutional neural network for specific emitter identification;and EDV-HOP: enhanced distance vector hop localization for wireless sensor network.

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