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International Conference on Computers, communications, and Systems (ICCCS)

作者： Liming Wang Zhan Xu Ruxin Zhi Jiahui Wang School of Electronics and Communication Engineering Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

Large-scale satellite networks are a crucial component of future communication systems. However, they pose several challenges to satellite routing design and link recovery. This paper proposes an Adaptive Load Balancing routing algorithm for Low Earth Orbit (LEO) Satellite Cluster Networks (ALBSCN) to meet the needs of large-scale Low Earth Orbit LEO satellite networks. The constellation is divided into clusters, with each cluster maintaining the intra-cluster link state by electing a cluster head. The cluster head computes intra-cluster and inter-cluster routes. Messages are forwarded using inter-cluster multipath routing and intra-cluster routing techniques. We validated the algorithm's performance and compared it with other algorithms in terms of packet delivery delay using simulation. Simulation results indicate that the proposed clustering routing scheme effectively reduced packet loss and end-to-end delay, while also increasing network throughput.

关键词： Satellites Adaptive systems Simulation Clustering algorithms Low earth orbit satellites Packet loss Routing

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Design and Implementation of a Frequency Converter Power Supply 4

Design and Implementation of a Frequency Converter Power Sup...

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4th International Conference on Intelligent control, measurement and Signal Processing, ICMSP 2022

作者： Liu, Hao Zhang, Qizhi School of Electronic Engineering Xi'an Shiyou University Xi'an China Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China

ISBN: (数字)9781665486583

ISBN: (纸本)9781665486583

In order to realize the miniaturization, high efficiency and low cost of inverter power supply, this paper introduces the demand characteristics and working principle of inverter power supply, deduces its small signal model in detail, and analyzes the key parameters and design process of power conversion circuit, PWM control circuit and feedback detection circuit. PSIM software was used to build a circuit simulation model, and the hardware closed-loop automatic control of inverter power supply was studied. The high-precision and stable output of DC 24V/1A, 12V/1A and 5V/3A was realized. The simulation results prove the feasibility and correctness of the design. © 2022 IEEE.

关键词： Electric inverters

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Task Offloading and Resource Allocation Scheme based on Cooperative Game

Task Offloading and Resource Allocation Scheme based on Coop...

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2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

作者： Benhong, Zhang Liang, Han Xiang, Bi Hefei University of Technology School of Computer Science and Information Engineering Hefei China Hefei University of Technology Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Anhui Hefei230009 China

ISBN: (数字)9781665499910

ISBN: (纸本)9781665499910

Mobile edge computing plays an irreplaceable role in 5G network and IoT technology. In addition, it is very urgent for MEC to find an effective task offloading decision and resource allocation method. Although there are many methods, they rarely consider the situation that the uneven processing capacity of MEC server leads to excessive task concentration during the process of offloading. In this article, a cooperative game is proposed to optimize the offloading and resource allocation schemes. The cost function is calculated by calculating the time and power consumption of tasks on different devices, and the task priority is determined by the difference between local calculation and MEC server calculation. In addition, the Lagrange multiplier method is used to allocate various resources required by the task. At the same time, the high-priority task is offloaded. On this basis, the task offloading scheme required by each server is obtained through multi-server cooperative game. The simulation results show that compared with the traditional algorithm, this scheme can not only reduce the total system overhead by about 31 % while meeting the task requirements, but also increase the system load rate by about 20 %. It maximizes the use of MEC server resources and balances the load between MEC servers with different computing capabilities. © 2022 IEEE.

关键词： Mobile edge computing

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Zero-Sample Multiple Fault Diagnosis of Diesel Engine Based on Attribute Prediction

Zero-Sample Multiple Fault Diagnosis of Diesel Engine Based ...

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第43届中国控制会议

作者： Qian Su Xuantao Lv Zhengxing Qiu Zhenxing Liu Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan University of Science and Technology School of Information Science and Engineering/School of Artificial Intelligence Wuhan University of Science and Technology Wuhan Maritime Communication Research Institute

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

A zero-sample fault diagnosis method based on fuzzy fault feature representation for attribute prediction is proposed to address the challenge of insufficient fault data samples covering all types of multiple faults in actual diesel engine *** simulation analysis of single and multiple fault operational states of diesel engines using AVL-boost? simulation software,along with the variation patterns of single fault thermodynamic parameters and the coupling patterns of multiple faults,category information for multiple fault diagnosis is *** membership functions are employed to describe fault features,and an SVM attribute trainer is established using single fault data to predict attribute values for multiple faults without data *** nearest neighbor search algorithm is utilized to infer the most suitable multiple fault *** results demonstrate that the proposed method exhibits excellent performance in the diagnosis of multiple fault in diesel engines,with a prediction accuracy of 96.62% for fault attributes and a final multiple fault diagnosis accuracy of 97.31%,thereby providing a basis for zero-sample multiple fault diagnosis in diesel engines.

关键词： fault diagnosis zero-shot learning multiple fault diesel engine SVM

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An Improved Slap Swarm Algorithm Incorporating Tent Chaotic Mapping and Decay Factor 4

An Improved Slap Swarm Algorithm Incorporating Tent Chaotic ...

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4th International Conference on Intelligent control, measurement and Signal Processing, ICMSP 2022

作者： Zhang, Jiawei Zhang, Qizhi Li, Lin School of Electronic Engineering Xi'an Shiyou University Xi'an China Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China

ISBN: (数字)9781665486583

ISBN: (纸本)9781665486583

Aiming at the defects of local stagnation and slow convergence speed of Salp Swarm Algorithm in the optimization process, an improved Salp Swarm Algorithm (ISSA) incorporating Tent chaotic mapping and decay factor is proposed. To begin, the Tent chaotic mapping strategy is used to initialize the population, which allows the population to traverse the search space and improve the first stage of the algorithm's iteration speed;second, the decay factor is added to the leader position update, which expands the search range and improves the algorithm's search accuracy. The experimental results reveal that the improved algorithm's exploration ability and optimization accuracy have been greatly enhanced by a series of benchmark function simulations. © 2022 IEEE.

关键词： Iterative methods

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Research on Fault Prediction and Health Management of Power Supply Board Method Based on Mahalanobis Distance

Research on Fault Prediction and Health Management of Power ...

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第43届中国控制会议

作者： Jiaying Li Qian Su Zhengxing Qiu Min Zhao Zhenxing Liu School of Information Science and Engineering/School of Artificial Intelligence Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan University of Science and Technology Wuhan Maritime Communication Research Institute

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In recent years,with the widespread application of complex electronic systems in large aircraft,high-speed railways,and ocean-going vessels,research on fault prediction and health management of electronic systems has become increasingly *** fault detection techniques bring cumbersome detection processes,high maintenance costs,and economic losses caused by *** address electronic system faults and health issues caused by load status,capacitor failure,and temperature effects in power supply boards,a feature extraction method based on probability density modeling is adopted to establish a health evaluation index for power supply boards,thereby achieving health assessment and fault prediction for electronic circuit *** proposed method in this paper can effectively reduce the frequency of periodic monitoring and maintenance,provide guidance for the production and ordering cycle of replacement parts,and avoid the occurrence of post-repair maintenance.

关键词： Electronic System Health Management Fault Detection Mahalanobis Distance

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Stator Flux Sliding Mode Observer of Permanent Magnet Synchronous Motor Based on Effective Flux 4

Stator Flux Sliding Mode Observer of Permanent Magnet Synchr...

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4th International Conference on Intelligent control, measurement and Signal Processing, ICMSP 2022

作者： Huang, Shengjie Zhang, Qizhi School of Electronic Engineering Xi'an Shiyou University Xi'an China Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China

ISBN: (数字)9781665486583

ISBN: (纸本)9781665486583

In order to improve the stator flux observation performance of permanent magnet synchronous motor (PMSM) with DIRECT Torque control (DTC), a stator flux sliding mode observer is proposed based on the concept of effective flux. The stator current and effective flux in the stator stationary coordinate system are taken as state variables to construct the corresponding sliding mode observer. The stator flux is calculated according to the observed effective flux. Experimental results show that the proposed observer can obtain more accurate stator flux observations than the open-loop observer. The proposed observer has strong robust suppression ability to the variation of motor inductance. © 2022 IEEE.

关键词： Torque control

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UAV Aerial Photography Traffic Object Detection Based on Lightweight Design and Feature Fusion 16th

UAV Aerial Photography Traffic Object Detection Based on Lig...

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16th Chinese Conference on Biometric Recognition, CCBR 2022

作者： Ma, Xuesen Zhou, Tianbao Ma, Ji Jiang, Gonghui Xu, Xuemei School of Computer and Information Hefei University of Technology Hefei China Engineering Research Center of Safety-Critical Industrial Measurement and Control Technology Ministry of Education Hefei China Hefei China

ISBN: (纸本)9783031202322

Real-time and accurate traffic object detection is one of the important technologies to support intelligent traffic management. Focusing on the problem of poor detection accuracy in aerial photography scenes of drones, the algorithm of lightweight design and multi-scale feature fusion for traffic object detection based on YOLOv5s (LMF-YOLOv5s) is proposed. First, a lightweight network is designed. Then a fast-spatial pyramid convolution module based on dilated convolution is constructed. Finally, an improved spatial pyramid pooling layer module is introduced before the detection layers of different scales, which can enhance the multi-scale feature fusion ability of the network. The experimental results in the public dataset VisDrone show that the detection accuracy of the proposed method is improved by 7.4% compared with YOLOv5s. The model's parameters are reduced by 67.3%, and the model's size is reduced by 63.2% compared with YOLOv5s. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Drones

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A paper-based self-inductive folding displacement sensor for human respiration and motion signals measurement

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npj Flexible Electronics 2022年第1期6卷 653-663页

作者： Junwen Zhu Yanshen Jia Mengmeng Li Zhanxuan Zhou Yinghao Chen Qiang Liu Xing Yang The State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua UniversityBeijing 100084China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Electromechanical and Automobile Engineering Yantai UniversityYan Tai 264005China Key Laboratory of Photonic Control Technology Ministry of EducationTsinghua UniversityBeijing 100083China

Flexible sensors have recently attracted much attention for potential applications in motion measurement and wearable health *** this paper,an environment-friendly,economic,and high-performance paper-based self-inductive folding displacement sensor(PSIFS)was proposed,with displacement resolution of 20μm and wide measurement range of 43.2 *** sensor sensitivity could reach 4.44%mm^(−1) with the maximum deviation of 0.00904 in *** sensing mechanism based on inductance variation due to three-dimensional deformation of planar inductor coil and structural design principle under two dimensions of sensitivity and size were proposed and *** folding method to enhance sensitivity was proposed and 3 times sensitivity enhancement could be achieved by once *** breathing states and motion states of the human joints could be *** proposed simple paper-based sensor,folding method to increase sensitivity,and structural design model may provide a way for the research of flexible sensors.

关键词： folding inductive motion

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H-STEP: Heuristic Stable Edge Service Entity Placement for Mobile Virtual Reality Systems

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IEEE Transactions on Mobile Computing 2025年

作者： Chi, Xuejian Chen, Honglong Ni, Zhichen Sun, Haiyang Sun, Peng Yu, Dongxiao Shandong Provincial Engineering Research Center of Intelligent Sensing and Measurement and Control Technology College of Control Science and Engineering Qingdao266580 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Shandong University School of Computer Science and Technology Qingdao266237 China

Virtual reality (VR) technology, as a latency-sensitive application, can achieve real-time response to enhance the user's quality of experience (QoE) on edge devices. However, edge servers, unlike internally managed cloud servers, are prone to hardware failures, software abnormalities, and network attacks. Most prior studies have focused on reducing service delay and improving user coverage through service entity (SE) placement, often neglecting the critical impact of edge server malfunctions on user QoE. In this work, we design a stable service entity placement framework that connects users on faulty servers to collaborative edge servers, ensuring seamless task completion. This framework presents two primary challenges: determining the grouping of collaborative edge services and the placement of SEs. To address these challenges, we introduce a heuristic stable service entity placement (H-STEP) scheme. This scheme first determines the grouping of collaborative edge servers using an iterative search algorithm and then places SEs on suitable edge servers via a fast non-dominated sorting genetic placement algorithm. This approach balances stability benefits with total cost, enhancing the system's economic benefits. We theoretically analyze the performance of H-STEP and derive the performance gap between H-STEP and the optimal scheme. Extensive real-data-driven simulations demonstrate that H-STEP's performance closely approximates that of the optimal scheme and surpasses existing schemes. © 2002-2012 IEEE.

关键词： Virtual environments

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