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arXiv 2022年

作者： Li, Xuehua Wei, Xing Chen, Shuo Sun, Lixin Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China Baicells Technologies Co. Ltd Beijing100094 China

Machine-to-Machine (M2M) communication is crucial in developing Internet of Things (IoT). As it is well known that cellular networks have been considered as the primary infrastructure for M2M communications, there are several key issues to be addressed in order to deploy M2M communications over cellular networks. Notably, the rapid growth of M2M traffic dramatically increases energy consumption, as well as degrades the performance of existing Human-to-Human (H2H) traffic. Sustainable operation technology and resource management are efficacious ways for solving these issues. In this paper, we investigate a resource management problem in cellular networks with H2H/M2M coexistence. First, considering the energy-constrained nature of machine type communication devices (MTCDs), we propose a novel network model enabled by simultaneous wireless information and power transfer (SWIPT), which empowers MTCDs with the ability to simultaneously perform energy harvesting (EH) and information decoding. Given the diverse characteristics of IoT devices, we subdivide MTCDs into critical and tolerable types, further formulating the resource management problem as an energy efficiency (EE) maximization problem under divers Quality-of-Service (QoS) constraints. Then, we develop a multi-agent deep reinforcement learning (DRL) based scheme to solve this problem. It provides optimal spectrum, transmit power and power splitting (PS) ratio allocation policies, along with efficient model training under designed behaviour-tracking based state space and common reward function. Finally, we verify that with a reasonable training mechanism, multiple M2M agents successfully work cooperatively in a distributed way, resulting in network performance that outperforms other intelligence approaches in terms of convergence speed and meeting the EE and QoS requirements. Copyright © 2022, The Authors. All rights reserved.

关键词： Reinforcement learning

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Path Planning for Mars Rovers Using Constraint-Based Approach on Path Length and Turning Radius

SSRN

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SSRN 2023年

作者： Dai, Juan Li, Jianfeng Zhu, Shengtao Su, Zhong Zhu, Cui Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100192 China School of Automation Beijing Information Science & Technology University Beijing100192 China School of Information and Communication Engineering Beijing Information Science & Technology University Beijing100101 China

An improved dynamic window approach is proposed for local path planning of the Mars rover based on its constraint characteristics and kinematic model. The dynamic window algorithm is commonly utilized in intelligent rover obstacle avoidance and unmanned driving due to its simple principle and easy implementation. The proposed approach can effectively satisfy the dynamic obstacle avoidance requirements of the Mars rover. However, the traditional dynamic window method may suffer from local motion dead zones and longplanned paths. To resolve the issue of dynamic obstacle avoidance for the Mars rover, a length limitation vector is proposed to alleviate the problem of motion dead zone and enable dynamic obstacle recognition. Moreover, a new dynamic window space is generated by incorporating a turning radius constraint to accommodate the Mars rover’s large turning radius. The evaluation function is optimized to achieve a safe, efficient, and smooth path plan for the Mars rover. © 2023, The Authors. All rights reserved.

关键词： Motion planning

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Condition-Based Spare Ordering Model for a Two-Stage Degrading System

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Journal of Systems Science and Systems Engineering 2020年第1期29卷 85-99页

作者： Cheng Wang Jianxin Xu Zhenming Zhang Hongjun Wang School of Mechanical Engineering Xi'an Aeronautical UniversityXi'an 710077China School of Mechanical Engineering Northwestern Polytechnical UniversityXi'an 710072China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100192China

Proper supply of spares is critical to guarantee safe operation,improve service quality and reduce maintenance *** paper proposes a condition-based spare ordering model for a two-stage degrading system,which consists of inflection point transfer process and two-stage degradation process with continuous degradation process and random external *** shocks itself does not directly lead to system failure,but it will speed up the degradation *** turn,degradation can also make the system more vulnerable to *** general,the degradation rate at the defective stage is greater than that at the normal *** proposed model depends on system degradation process and spare *** order to achieve accurate maintenance and deal with emergency maintenance caused by system rapid degradation after inflection point transfer time,the model considers both the regular lead-time and expedited *** inflection point transfer time,regular spare ordering policy is *** inflection point transfer time,expedited spare ordering policy is *** decision variable of the model is the ordering *** objective of this study is to determine the optimal ordering time such that the expected cost rate is ***,a numerical example is presented to illustrate the proposed model and sensitivity analysis on critical parameters is carried out.

关键词： Condition-based spare ordering inflection point two-stage degradation random external shocks random lead-time

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Mapping-based drift fault repair method for array inertial devices

Mapping-based drift fault repair method for array inertial d...

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9th International Symposium on Test Automation & Instrumentation (ISTAI 2022)

作者： H. Chen Z. Su Z. Xu Q. Li Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing People's Republic of China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing People's Republic of China

The array inertial device can significantly improve the positioning accuracy of the wearable autonomous positioning system, but it is difficult to avoid faults in the working process of the array inertial device, even if the fault is detected, the positioning system will fail. Aiming at the fault that the acceleration drift of array inertial device increases in the process of motion in the wearable autonomous positioning system of emergency rescue personnel, a fault repair method of acceleration array based on BP neural network was proposed. Through data fusion of accelerometer and gyroscope, a fault repair method based on mapping contrast elimination is implemented. The experimental results of twelve IMU array data fusion and fault repair show that the proposed method can be used to repair the typical faults with the increase of accelerometer drift in the array inertial device.

关键词： accelerometers backpropagation fault diagnosis gyroscopes inertial systems sensor fusion

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Reconstruction of Furnace Temperature Field by Ultrasonic Transducer

Reconstruction of Furnace Temperature Field by Ultrasonic Tr...

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International Conference on Electronic measurement and Instruments, ICEMI

作者： Fenjin Chao Shaohong Wang Fuqiang Zhou Zeyi Zhao Lei Chen Xiaoli Xu Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781665444927

There are many deficiencies in contact temperature measurement, which can not provide a good guarantee for economy, efficiency and safety. Ultrasonic sensor temperature measurement technology has a good effect on the real-time monitoring of complex temperature field. This study takes the boiler furnace as the research object and the reconstruction of the temperature field in the furnace as the research purpose. Based on the finite element method, a single peak symmetrical temperature field model of the furnace is established on COMSOL platform to simulate the propagation of sound waves in the furnace, calculate the flight time according to the cross-correlation algorithm, and restore the temperature field of the furnace temperature field model by using the least square method and interpolation algorithm. The results show that the maximum relative error of flight time and theoretical flight time obtained by cross-correlation algorithm is 0.85%, and the average absolute error of reconstructed temperature field and single peak symmetric temperature field is 31K, which has a good reconstruction effect.

关键词： Temperature measurement Temperature sensors Interpolation Analytical models Furnaces Software algorithms Acoustics

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Research on Robot Assembly Line Balancing Considering Energy Consumption

Research on Robot Assembly Line Balancing Considering Energy...

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作者： Haotian, Feng Hongjun, Wang School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Intelligent Perception and Control of High-End Equipment Beijing International Science and Technology Cooperation Base Beijing100192 China Key Laboratory of Modern Measurement and Control Technology of Ministry of Education Beijing Information Science and Technology University Beijing100192 China

In order to improve the efficiency of robot assembly line and optimize the energy consumption, an optimization scheme of multi position task allocation for the same robot is designed. Based on a robot assembly line, a mathematical model of robot assembly line balance is established, which takes smoothness index, assembly energy consumption and input cost as optimization objectives. On this basis, an improved multi-objective hybrid genetic algorithm is proposed. In this algorithm, the penalty function method is introduced to adjust the convergence of the solution, and an adaptive weighting mechanism based on bat algorithm is added to expand the global search ability. Finally, based on the actual situation of a robot assembly line, Flexsim was used to conduct simulation experiments on the optimization results to verify the feasibility and effectiveness of the optimization scheme. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multiobjective optimization

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Research on Dynamic Characteristics of Confluence Planetary Row under Speed Impact

Research on Dynamic Characteristics of Confluence Planetary ...

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International Conference on Electronic measurement and Instruments, ICEMI

作者： Jun Yang Changliang Tang Liyong Wang Xiaobo Liu Bokang Su Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781665444927

As an important part of the dual-flow transmission device, the confluence planetary row works under the complex working conditions of high load, high frequency and strong impact, and the problem of vibration and noise is particularly prominent. In this paper, a concentrated parameter model of the confluence planetary gear dynamics is established, and the time-varying meshing stiffness, bearing stiffness, damping, shaft bending stiffness and other factors are comprehensively considered to establish a dynamic model suitable for the confluence planetary gear system under speed shock conditions. The dynamic characteristics of the confluence planetary gear under the speed shock load were numerically calculated, and the speed shock conditions were analyzed. The results show that as the speed increases, the vibration amplitude of each component shows an increasing trend; in the state of rotating speed shock excitation, the order spectrum signal is mainly composed of meshing frequency and high-order frequency doubling components, and the amplitude of each component also increases with the increase of speed. The test results are in good agreement with the numerical analysis. The conclusions obtained provide important theoretical support and engineering value for the vibration reduction, noise reduction and performance optimization of the confluence planetary gear system.

关键词： Vibrations Shafts Gears Electric shock Velocity control Resonant frequency Frequency conversion

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UAV-assisted full-duplex ISAC: Joint communication scheduling, beamforming, and trajectory optimization

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Digital Communications and Networks 2025年

作者： Yuanshuo Gang Yuexia Zhang Xinyi Wang Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing 102206 China

This paper proposes the Unmanned Aerial Vehicle (UAV)-assisted Full-Duplex (FD) Integrated Sensing And Communication (ISAC) system. In this system, the UAV integrates sensing and communication functions, capable of receiving transmission signals from Uplink (UL) users and echo signal from target, while communicating with Downlink (DL) users and simultaneously detecting target. With the objective of maximizing the Average Sum Rate (ASR) for both UL and DL users, a composite non-convex optimization problem is established, which is decomposed into sub-problems of communication scheduling optimization, transceiver beamforming design, and UAV trajectory optimization. An alternating iterative algorithm is proposed, employing relaxation optimization, extremum traversal search, augmented weighted minimum mean square error, and successive convex approximation methods to solve the aforementioned sub-problems. Simulation results demonstrate that, compared to the traditional UAV-assisted HD ISAC scheme, the proposed FD ISAC scheme effectively improves the ASR.

关键词： Integrated sensing and communication Unmanned aerial vehicle Full-duplex communication Beamforming Trajectory optimization

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Relay Satellite Assisted LEO Constellation NOMA Communication System

arXiv

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arXiv 2024年

作者： Zhang, Xuyang Yue, Xinwei Han, Zhihao Li, Tian Shen, Xia Wang, Yafei Liu, Rongke Key Laboratory of Information and Communication Systems Ministry of Information Industry China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang Hebei050081 China Beijing100191 China School of Electronic and Information Engineering Beihang University Beijing100191 China Shenzhen Beihang Emerging Industry Technology Research Institute Shenzhen518063 China

This paper proposes a relay satellite assisted low earth orbit (LEO) constellation non-orthogonal multiple access combined beamforming (R-NOMA-BF) communication system, where multiple antenna LEO satellites deliver information to ground non-orthogonal users. To measure the service quality, we formulate a resource allocation problem to minimize the second-order difference between the achievable capacity and user request traffic. Based on the above problem, joint optimization for LEO satellite-cell assignment factor, NOMA power and BF vector is taken into account. The optimization variables are analyzed with respect to feasibility and non-convexity. Additionally, we provide a pair of effective algorithms, i.e., doppler shift LEO satellite-cell assisted monotonic programming of NOMA with BF vector (D-mNOMA-BF) and ant colony pathfinding based NOMA exponential cone programming with BF vector (A-eNOMA-BF). Two compromise algorithms regarding the above are also presented. Numerical results show that: 1) D-mNOMA-BF and A-eNOMA-BF algorithms are superior to that of orthogonal multiple access based BF (OMA-BF) and polarization multiplexing schemes;2) With the increasing number of antennas and single satellite power, R-NOMA-BF system is able to expand users satisfaction;and 3) By comparing various imperfect successive interference cancellation, the performance of A-mNOMA-BF algorithm exceeds D-mNOMA-BF. Copyright © 2024, The Authors. All rights reserved.

关键词： Satellite communication systems

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Traffic Sign Recognition Method Based on Dual-Channel CNN

Traffic Sign Recognition Method Based on Dual-Channel CNN

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International Conference on Electronic measurement and Instruments, ICEMI

作者： Zeyi Zhao Fuqiang Zhou Shaohong Wang Xiaoli Xu Fenjin Chao Zhoupeng Lin Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing Information Science&Technology University Beijing China

ISBN: (纸本)9781665444927

Aiming at traffic sign problem, the traditional LeNet-5 network structure has low accuracy of traffic sign recognition, slow identification speed and ignores natural factors such as weather. A convolutional network structure model with two-channel and multi-scale based on LeNet-5 improvement is proposed by convolutional neural network technology. In the dual-channel structure, each channel contains two branching structure, and the number of convolution and image scale of each channel is different, making the feature extraction of different image scales richer. Secondly, the improved network structure greatly increases the number of convolutional kernels compared to the traditional LeNet-5 network structure. Finally, by changing the Sigmoid activation function to the ReLu activation function, changing the stochastic gradient descent algorithm to the Adam algorithm, and adding Dropout layers to prevent overfitting and setting the learning rate, thus increasing the traffic sign recognition rate. The recognition rate of the improved network is 98.6%, floating by 0.5%, relative to the traditional LeNet-5 network structure, the recognition rate increases by more than 15%, verifying that the improved network structure has a certain robustness.

关键词： Training Instruments Neural networks Stochastic processes Feature extraction Robustness Convolutional neural networks

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