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2023 International Conference on Networks, Communications and Intelligent Computing, NCIC 2023

作者： Lu, Jie Zhang, Yuexia Li, Junjie Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Beijing China Control Technology Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement Beijing China

ISBN: (纸本)9798350371949

Since the advancement of mobile communication technology, traditional industries are gradually transforming and upgrading, which leads to problems such as insufficient computing resources and excessive energy consumption of Internet of Things (IoT) devices. To address this issue, a resource allocation algorithm for the mobile edge computing-assisted industrial IoT (IIoT) is proposed. First, a mobile edge computing-assisted IIoT network model was constructed. Using the collaboration between IoT devices, mobile edge computing (MEC) servers, and cloud servers, the issue of minimizing all IIoT devices energy cost was proposed. Subsequently, in order to address the optimization issue, obtain its optimal solution, the alternating direction method of multipliers (ADMM) algorithm is introduced. Finally, the ADMM algorithm's convergence was verified through an experimental simulation. In contrast to baseline algorithm 1 and algorithm 2, the ADMM algorithm can significantly diminish energy cost, proving the effectiveness of the proposed scheme. © 2023 IEEE.

关键词： Resource allocation

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HDCI: Hybrid Data Center Based on IPFS with High-Reliability 30

HDCI: Hybrid Data Center Based on IPFS with High-Reliability

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30th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2024

作者： Li, Haowei Li, Canqiang Zhao, Yiyang Zhu, Yan Zuo, Yunbo Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China Tsinghua University Department of Automation Beijing China Tsinghua University School of Economics and Management Beijing China

ISBN: (纸本)9798331515966

The scale of data centers is expanding with the advancement of digitalization, and their functions and structures are becoming more complex. Driven by the concept of green and sustainable development, traditional data centers have been transforming towards greener operations. More and more data centers, especially distributed data center nodes, are beginning to use green energy. This paper proposes a hybrid data center model HDCI that combines the characteristics of 'centralized' and 'distributed' architectures and primarily powered by green energy. The IPFS-based data storage architecture is employed within the HDC framework to ensure data security even when nodes are offline. Besides, a novel IPFS-based hybrid data center storage and recovery method is proposed. Besides, a data storage and scheduling strategy considering the conditions of energy is used to allocate data storage of data centers in different situations. This mode has achieved high reliability in data storage and energy saving. The hybrid data center is gradually being applied in real-world scenarios. © 2024 IEEE.

关键词： Data Center Green Energy Hybrid IPFS

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A Human-Object Interaction Behavior Recognition Algorithm Based on Transformer 5

A Human-Object Interaction Behavior Recognition Algorithm Ba...

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5th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2023

作者： Fang, Zhenbin Lu, Xingjian Lei, Huan Liang, Junxiong Jiao, Zeyu Zhong, Zhenyu Institute of Intelligent Manufacturing School of Automation Guangdong University of Technology Gdas Guangdong Key Laboratory of Modern Control Technology Guangzhou China Institute of Intelligent Manufacturing Gdas Guangdong Key Laboratory of Modern Control Technology Guangzhou China

ISBN: (纸本)9798350333442

Human-object interaction behavior recognition is a high-level computer vision task for computers to understand the content of images in real scenes. Thanks to the introduction of Transformer and DETR, the performance of the algorithms for human-object interaction recognition has improved significantly in the first stage, however, the existing models still suffer from inadequate feature extraction and model bias. Based on this, we optimize and improve the algorithm's performance in terms of both fine-grained contextual information extraction and dynamic weighting. We conducted training and testing on the HICO-DET dataset and found through extensive experiments that (1) our proposed fine-grained contextual information-based Human-object interaction behavior recognition algorithm improves the performance of 'Full', 'Rare' and 'Non-Rare' mAP by 2.48%, 7.42% and 1.44% respectively compared with the original algorithm. (2) During model training, we introduced dynamic weights to improve the optimization of the model for rare Human-object interaction behavior, which can effectively improve the model performance. These experimental results validate the feasibility, effectiveness and adaptability of our proposed fine-grained module, global context extraction module and dynamic weight training strategy. © 2023 IEEE.

关键词： Statistical tests

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A Prognosis Swin Transformer Network for Rolling Bearing Remaining Useful Life Prediction

A Prognosis Swin Transformer Network for Rolling Bearing Rem...

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2023 International Conference on Sensing, measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Sun, Yuyan Hu, Aijun Liu, Suixian Wang, Liyong Xiang, Ling North China Electric Power University Department of Mechanical Engineering Baoding China Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing China

ISBN: (纸本)9798350318012

The research on the remaining useful life (RUL) of rolling bearings based on deep learning plays an important role in the safe and economic operation of rotating machinery. In order to improve the matching degree of network structure and vibration signal data, a novel method named Prognosis Swin Transformer (ProgSwT) is developed for bearing RUL prediction. In the ProgSwT network, the hierarchical structure and sliding window feature extraction are retained, and the number of stages in the Swin Transformer and the number of network layers per level are optimized. Specifically, the input signal first obtains features through the Patch Partition, then transmits into three consecutive stages composed of Linear Embedding and Swin Transformer Block, and finally enters the overall average pooling layer to output the RUL result. As a result, the flexibility and portability of the network structure can be heightened while the computational complexity of the network can be decreased when extracting the characteristics of vibration signals. The experimental results show that the ProgSwT network has good prediction accuracy in the RUL prediction. © 2023 IEEE.

关键词： Forecasting

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Magnetorheological damper parameter identification and its application in semi-active control of power equipment

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Noise and Vibration Worldwide 2024年第11期55卷 632-650页

作者： Wei, Huang Jian, Xu Yi, Yao Yongliang, Zhang Xin, Wang SINOMACH Technology Research Center of Engineering Vibration Control Beijing China Beijing China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics University of Science and Technology of China Hefei China

In recent years, magnetorheological dampers (MRD) have played a significant role in vibration control in various fields such as vehicles, military, building structures, etc. However, the mechanical model of MRD is very complex due to its hysteresis, which makes it difficult to identify the model’s parameters. In addition to experimental data, under the condition of no other prior knowledge, eight unknown parameters of the Bouc-Wen model are identified in this study based on the particle swarm optimization (PSO) algorithm. According to the trend of parameter variation with current, fitting research is conducted, and the variation law of parameters with current is summarized. Based on the identified parameters, the MRD’s output force is predicted under any current other than the experimental current. Subsequently, the application of MRD in semi-active control of power equipment is performed out, and proposed Simulink calculation programs for single-stage and two-stage vibration control systems are built. Then, a comparative study with passive and active control is conducted. In this paper, linear quadratic regulator (LQR) control is adopted for the active control, and the controller’s parameters are optimized based on the PSO algorithm. The results show that the adopted semi-active control can significantly reduce the transmitted force from power equipment to the foundation and can effectively mitigate the disturbance of power equipment to the environment. This study offers important guidance for the vibration control of MRD in industrial engineering. © The Author(s) 2024.

关键词： Vibration control

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Intelligent Mould Design Through Knowledge-Based Recommendation System 1

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6th International Conference on Mechanical Engineering and Applied Composite Materials, MEACM 2023

作者： Qin, Hao Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent Manufacturing Guangdong Academic of Sciences Guangzhou510070 China

ISBN: (数字)9789819716784

ISBN: (纸本)9789819716777

The efficiency and quality of a complex aluminium extrusion mould design can be largely improved based on reusing the relevant design knowledge recommended based on design context. This kind of design knowledge is embedded in engineering designers’ brain, supporting design tasks like requirement analysis, embodiment design, simulation result evaluation, which is significant in achieving intelligent design. However, it is a kind of tacit knowledge that is difficult to capture and reuse, in a way of intelligent recommendation. To fill this gap, this paper proposed a method on capturing this kind of tacit design knowledge for efficient reuse. Firstly, a knowledge representation model is built in terms of the requirement, function, behaviour, structure, and design evolution of the extrusion mould design, guiding the capture and representation of design knowledge. Then, the design context for the design knowledge is studied and constructed for the effective reuse of design knowledge. Finally, a recommendation system based on design context is designed and developed for the implementation of design reuse. The evaluation results on this method have shown its feasibility and effectiveness on design knowledge representation and reuse. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Knowledge representation

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Motion Planning of Mobile Robot Based on Goal-orientated Hierarchical Smoothing Optimization JPS Algorithm

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Jiqiren/Robot 2023年第4期45卷 439-450页

作者： Wang, Liyong Ma, Shaobo Wang, Chao Ding, Bingchao Li, Boxiong Wang, Haodong Su, Qinghua Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing100192 China

Due to lack of direction guidance in the path search process of JPS (jump point search) algorithm, there are many redundant points, turning points and uneven paths on the planned path. Therefore, a GHSO-JPS (goal-oriented hierarchical smoothing optimization JPS) algorithm is proposed. Besides that, the multi-segment polynomial method and the collision penalty algorithm based on repulsive potential field are applied to trajectory optimization. By the attractive potential field, the search is focused on the goal direction, and irrelevant jump points in the search are reduced. Then, a hierarchical smoothing optimization strategy is adopted to eliminate redundant points and turning points in the path. Besides that, both the path point amount and the path length are reduced while improving the path smoothness. Finally, the multi-segment polynomial method is used to optimize the trajectory, and the penalty function against trajectory collision based on repulsive potential field is built to improve the trajectory safety. The real vehicle experiments are executed in the areas of laboratory and university, to analyze the proposed algorithm and compare with JPS, A∗, RRT (rapidly-exploring random tree) algorithms. As the result, the proposed alogrithm shows the best performances among the 4 algorithms. Compared with the traditional JPS algorithm, the search time of the proposed algorithm is reduced by 41.6%, the amount of jump points is reduced by 55.5%, the path length is reduced by 3.22 m, and number of path points and total turning angle are reduced by 89.8% and 81.8% respectively, in the university area. Compared with A∗ and RRT algorithms, the planning time of the proposed algorithm is reduced by 70.4% and 93.7% respectively, and the total turning angle of the planned optimal path is reduced by 90.3% and 97.1% respectively. In conclusion, the proposed algorithm is of a better path planning performance, a higher efficiency and a better ability of trajectory optimization th

关键词： Motion planning

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Reduction of data amount in data-driven design of linear quadratic regulators

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control Theory and technology 2024年第4期22卷 532-542页

作者： Shinsaku Izumi Xin Xin School of Systems Engineering Kochi University of TechnologyKamiKochi782-8502Japan School of Automation Southeast Universityand Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of EducationNanjing210096JiangsuChina

This paper discusses the data-driven design of linear quadratic regulators,i.e.,to obtain the regulators directly from experimental data without using the models of *** particular,we aim to improve an existing design method by reducing the amount of the required experimental *** the data amount leads to the cost reduction of experiments and computation for the data-driven *** present a simplified version of the existing method,where parameters yielding the gain of the regulator are estimated from only part of the data required in the existing *** then show that the data amount required in the presented method is less than half of that in the existing method under certain *** addition,assuming the presence of measurement noise,we analyze the relations between the expectations and variances of the estimated parameters and the *** a result,it is shown that using a larger amount of the experimental data might mitigate the effects of the noise on the estimated *** results are verified by numerical examples.

关键词： Data-driven design Linear quadratic regulators Linear systems Riccati equation Stochastic properties

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PAPR Reduction in OFDM-IM Using Dither Signal Sets

PAPR Reduction in OFDM-IM Using Dither Signal Sets

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2022 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2022

作者： Zhang, Si-Yu Zheng, Hui Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

Similar to most multicarrier modulations, orthog-onal frequency division multiplexing with index modulation (OFDM-IM) also suffers high peak to average power ratio (PAPR) issue due to its inherit structure. In this paper, a novel PAPR reduction scheme for OFDM-IM with dither signals is proposed. Unlike the previous method that utilizes convex programming to determine the optimized signals that are added to the idle subcarriers of OFDM-IM. The proposed scheme utilizes several fixed sets which contain constraint amplitude dither signals to reduce the PAPR. Simulation results show that the proposed scheme can achieve solid PAPR reduction performance similar to that of the classical PAPR reduction schemes (e.g. partial transmit sequence (PTS), selected mapping (SLM)). Moreover, compared with the conventional PAPR reduction scheme with dither signals, the proposed one does not need convex optimization, which owns high computational complexity. Also, by utilizing selected dither signals, the proposed scheme can achieve lower error performance than that of the conventional scheme with dither signal. © 2022 IEEE.

关键词： Peak to average power ratio

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Modeling Study of Shell Damage to the Typical Light Armored Vehicles 4

Modeling Study of Shell Damage to the Typical Light Armored ...

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4th International Conference on Defence technology, ICDT 2024

作者： Guo, Xuncheng Zhang, Dongjiang Feng, Xuelei Qi, Qiong Zhang, Lei Xi'an Modern Control Technology Research Institute National Key Laboratory of Land and Air Based Information Perception and Control Shaanxi Xi'an710065 China

This study focuses on the destructive mechanisms and high-precision numerical simulation models of guided shells frequently encountered in combat conditions for damaging light armored vehicles. Based on the modes of shell action and the vulnerability characteristics of light armored vehicles, a systematic analysis of damage patterns was carried out, revealing their destructive effects. Through induction and analysis, a characterization method for the shell's power field was established. By combining the experimental conditions and data of typical shell damage to steel plates, numerical simulation modeling and calculations of the shells were conducted, obtaining more accurate simulation parameters for the shells.A numerical simulation model of a light armored vehicle under the action of shells was further established. By utilizing the damage tests and data of typical shells on light armored vehicles, the model was calibrated and validated. The maximum error between the simulation calculations and experimental tests was less than 20%, indicating that the established large-scale model of typical shells against light armored vehicles possesses high engineering accuracy. The research findings aim to provide theoretical and simulation guidance for the design of ammunition power, practical damage assessment, and target protection design. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Shells (structures)

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