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8th International Conference on Signal and Information Processing, Network and computers, ICSINC 2021

作者： Ma, Zhi Deng, Anhua Jiang, Jingjing Liu, Hongbiao Chen, Xi Beijing Institute of Control Engineering Beijing100194 China School of Computer Science and Technology Xidian University Xi’an710071 China

ISBN: (纸本)9789811933868

Robot operating system has become an important basic software for robots. It improves the reuse rate of software codes and provides a unified platform for application developers. However, ROS runs on Linux, which takes up a large amount of memory and cannot provide timing guarantees for robot motion. Although the strategy of porting ROS to embedded real-time operating systems has become a popular solution to these problems, this technique is challenging to efficiently adopt in space robot systems due to real-time multi-tasking, scalability, and performance requirements. This paper proposes an operating system architecture Space-ROS based on the embedded real-time operating system SpaceOS, we introduce a part of ROS function instead of overall on RTOS to ensure the lightweight of the system. Space-ROS adopts a three-level scheduling strategy suitable for multi-cores processors to ensure the efficient operation of real-time multi-tasks and uses a dynamic loading function to improve the scalability of the system, this function supports online updates of applications. In addition, we have also designed intelligent interactive functions, which can conveniently plan and design the action tasks of space robots, greatly improves the efficiency and interactive experience of developers. Finally, we built a simulation environment for the space robot performing a lunar exploration mission and evaluated the performances functions of Space-ROS. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine design

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Adaptive Active Fault-Tolerant Attitude control for Spacecraft with Adaptive Prescribed Performance 6

Adaptive Active Fault-Tolerant Attitude Control for Spacecra...

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6th International Symposium on Autonomous Systems, ISAS 2023

作者： Yang, Ze Yang, Baoqing Ji, Ruihang Ma, Jie Harbin Institute of Technology Control and Simulation Center Harbin China National University of Singapore Department of Electrical and Computer Engineering Singapore

ISBN: (纸本)9798350316155

For spacecraft attitude control affected by environmental disturbance, parameter uncertainty and actuator fault, a novel composite active fault-tolerant scheme, combining a strong tracking Cubature Kalman filter (STCKF) with adaptive prescribed performance control (APPC), is investigated in this paper. The proposed STCKF is capable of estimating lumped fault rapidly but accurately, and it is robust to model uncertainty. An adaptive finite-time prescribed performance function (APPF) whose boundaries can be flexibly adjusted in the case of actuator faults is proposed. Then an active fault tolerant controller is designed using nonsingular terminal sliding mode control (NTSMC) in conjunction with APPF. Simulation experiments and comparisons show that the proposed strategy exhibits better fault tolerance, lower conservatism and better steady-state performance. © 2023 IEEE.

关键词： Attitude control

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Research on detection techniques for scanning attacks in software-defined network environments 4

Research on detection techniques for scanning attacks in sof...

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4th International Conference on computer Engineering and Application, ICCEA 2023

作者： Huang, Jiahao Chen, Jianxi Lu, Xinghua Mo, Bin Zeng, Cannan Qiu, Shilong Institute of Computer Control Technology Guangzhou Huali College Guangzhou China St. Paul University Philippines Tuguegarao Philippines

ISBN: (纸本)9798350347548

Cybersecurity incidents continue to plague digital life. Attackers planning to compromise a network or system often use methods such as scanning attacks to obtain valid attack information in advance, thus increasing the probability of a successful network attack. In response to this problem, the high flexibility of new architectures for software-defined networks and the OpenFlow protocoOpenFlowrovided some statistical information about network traffic in recent years. This method allows traffic to be monitored through switches that support the OpenFlow protocol and enables faster port scan detection than traditional methods of collecting periodic statistics, which can be used to detect malicious traffic activity. In this paper, we delve into the statistical rules of traffic in Openflow networks, develop and implement a traffic detection method based on port scanning in Openflow networks, establish an information entropy-based inspection mechanism, and use a mixture of two conventional traffic models and anomalous traffic for access. The experimental results show that the method can effectively and reasonably detect slow scanning attacks as well as improve the accuracy of identifying abnormal traffic. © 2023 IEEE.

关键词： Software defined networking

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Two-body nonleptonic decays of the heavy mesons in the factorization approach

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Frontiers of physics 2023年第6期18卷 107-126页

作者： Shuo-Ying Yu Xian-Wei Kang V.O.Galkin Key Laboratory of Beam Technology of the Ministry of Education College of Nuclear Science and TechnologyBeijing Normal UniversityBeijing 100875China Institute of Radiation Technology Beijing Academy of Science and TechnologyBeijing 100875China Federal Research Center“Computer Science and Control” Russian Academy of SciencesVavilov Street 40119333 MoscowRussia

In the framework of the factorization approach we calculate the branching fractions of 100 two-body nonleptonic decay channels in total,including 44 channels of the charm meson decays and 56 channels of the bottom meson *** charm meson decays,we test and confirm the previous observation that taking the limit for the number of colors N→∞significantly improves theoretical *** bottom meson decays,the penguin contributions are included in *** an essential input,we employ the weak decay form factors obtained in the framework of the relativistic quark model based on the quasi-potential *** form factors have well been tested by calculating observables in the semileptonic D and B meson decays and confronting obtained results with experimental *** general,the predictions for the nonleptonic decay branching fractions are ***,for a quantitative calculation it is necessary to account for a more subtle effects of the final-state interaction.

关键词： form factor quark model nonleptonic decay factorization method

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Fusion information refresh rate improvement based on adaptive visual tracking in vehicle augmented reality sightseeing interactive system

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Journal of the Society for Information Display 2024年第8期32卷 545-554页

作者： Tsai, Yu-Hsiang Dai, Hong-Ming Yan, Yung-Jhe Ou-Yang, Mang Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Taipei Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Taipei Taiwan Div. of Display & System Integration Electronic and Optoelectronic System Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan

This paper proposes a dynamic information fusion interactive system with a transparent display applied in the vehicle. The dynamic information fusion interactive system integrates three leading technologies: relative position acquisition, fusion information mapping, and visual field tracking adaptive information generation. For visual field tracking adaptive information generation, the position of fusion information changes as the observer's field of view varies to help observers use this system more comfortably and intuitively. The frame rate of the dynamic virtual information display can be increased from 10 to 20 Hz without increasing the AI computing power and providing observers with a better observer experience. Integrating those technologies could achieve an AR-based interactive system on a direct-view transparent display. Such a system can provide passengers with location-based interactive virtual and real integration information in the mobile field. © 2024 Society for Information Display.

关键词： Augmented reality

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Intelligent Manufacturing Transformation Development Strategy of Jilin City Automobile Industry: A Research Based on SWOT-AHP Model 2nd

Intelligent Manufacturing Transformation Development Strateg...

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2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2023

作者： Jia, Li Xu, Ding Shuang, Guo School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132022 China School of Computer Science Northeast Electric Power University Jilin132012 China Science and Technology Institute of Jilin City Jilin132022 China

ISBN: (纸本)9789819963027

This paper proposes the development strategy for Intelligent manufacturing transformation, with the help of both SWOT analysis and AHP analysis, in the case of focusing on the Jilin city Automobile Industry. Firstly found the influence factors of Jilin city automobile industry’s intelligent manufacturing transformation, based on SWOT analysis. Secondly, the AHP quantitative analysis model is constructed, and the Delphi survey method is used for quantitative calculation that had been taken Consistency checking results. Then determine the strategic quadrilateral, to obtain the development strategy azimuth and strategic strength. The strategic positioning and trend of the intelligent transformation and development of the automobile industry in Jilin City are determined, and the implementation countermeasures of the development strategy are formulated. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Automotive industry

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Unpredictable Switching for Cyber-Physical Security Against Worst-case Attackers 63

Unpredictable Switching for Cyber-Physical Security Against ...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Kanellopoulos, Aris Fotiadis, Filippos Vamvoudakis, Kyriakos G. Sandberg, Henrik Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm10044 Sweden Georgia Institute of Technology Daniel Guggenheim School of Aerospace Engineering AtlantaGA30332 United States

ISBN: (纸本)9798350316339

In this paper, we investigate the problem of securing a system against actuator attacks. Specifically, we employ an unpredictability-based defense algorithm according to the principles of Moving Target Defense, while explicitly considering the worst-case attack that can be launched into the system. Consequently, we allow the system to alternate between different actuating modes, but also between optimal and robust control schemes. Via game-theoretic methods, we derive mixed strategies dictating the probabilities of utilizing different controllers for a given mode of operation, whereas an entropy-augmented optimization problem gives the probabilities of using these different modes. Finally, the overall stability of the system is analyzed, and simulation results showcase the efficacy of our proposed method. © 2024 IEEE.

关键词： Cyber attacks

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The Use of Both Temperature Field and Heat Fluxes to Identify the Thermal Conductivity and Volumetric Heat Capacity 15th

The Use of Both Temperature Field and Heat Fluxes to Iden...

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15th International Conference on Optimization and Applications, OPTIMA 2024

作者： Zubov, Vladimir Gorchakov, Andrei Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia Moscow Institute of Physics and Technology Institutskii per. 9 Dolgoprudny141701 Russia

ISBN: (纸本)9783031791185

The study of nonlinear problems associated with the process of heat transfer in material is very important for practice. Previously, the authors proposed an effective algorithm for determining the volumetric heat capacity and thermal conductivity of a substance based on the results of experimental observations of the dynamics of the temperature field in an object or the dynamics of heat flows at the boundary of the domain. In this work, a new cost functional is used to determine temperature-dependent thermodynamic parameters, which is a weighted sum of the deviation of temperature in the domain and heat fluxes at the boundary of the domain from the experimental values. The use of the new functional showed a noticeable increase in the efficiency of the proposed algorithm and the reliability of the results obtained. The consideration is carried out on the basis of the first boundary value problem for a one-dimensional non-stationary heat equation. The inverse coefficient problem under consideration is reduced to a variational problem, which is solved by gradient methods based on the application of the Fast Automatic Differentiation technique. The question of the uniqueness of the solution to the inverse problem is investigated. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cost functions

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TCIP: Transformed Colour Intensity Profiles analysis for fault detection in power line insulators

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Multimedia Tools and Applications 2025年第8期84卷 4503-4534页

作者： Tomaszewski, Michal Gasz, Rafal Kasana, Singara Singh Osuchowski, Jakub Singh, Simranjit Zator, Slawomir Department of Computer Science Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 Opole45-758 Poland Department of Computer Science and Information Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Information Technology Dr B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Department of Safety Engineering and Technical Systems Faculty of Production Engineering and Logistics Opole University of Technology Prószkowska 76 Opole45-758 Poland

In response to the escalating demand for electricity, the aging process and inherent failures in power lines have become unavoidable challenges in their operational integrity. This research addresses the imperative need for a robust method to detect damage in power insulator disc images, introducing a novel feature extraction technique grounded in color intensity profile transformation and ensemble learning. For the purposes of the research, a specific dataset was developed based on publicly available images of power insulators. The collection consists of 9232 images of insulator discs which included 2184 images of damaged discs. The discernible damages include breakages and burnouts. Two distinct analysis variants were employed. In the first variant (V1), two classification groups were selected: disc with damages and disc without damages. In the second variant (V2), three classification groups were selected: discs without damage, broken discs, and burnout discs. The described research was divided into two successive stages. In the first of them (S1), the transformed color intensity profiles for the prepared data set were built and various machine learning models for their classification were trained and evaluated. In the next stage (S2), previously developed, highest efficient machine learning models, were used to make the detection of various damaged types of overhead line insulator discs. For the first stage of research high-performance results and a high value of the F1 score parameters were obtained (F1 score = 0.999 for the first variant (S1V1) and F1 score = 0.992 for the second variant (S1V2). In the second stage of research and the first variant (S2V1), the highest result of the F1 score was 0.932 and for the second variant (S2V2) F1 score was 0.930. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

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Mobile Crowdsourcing Task Assignment Algorithm Based on ConvNeXt and GRU 18th

Mobile Crowdsourcing Task Assignment Algorithm Based on Con...

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18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Fan, Zequn Pan, Qingxian Gao, Zhaolong Luan, Peng Wei, Kai Li, Jinru School of Computer and Control Engineering Yantai University Yantai264005 China Yantai Institute of Technology Yantai264005 China Yantaishan Hospital Shandong Province Yantai264003 China

ISBN: (纸本)9783031714634

Task assignment is a crucial aspect of mobile crowdsourcing research. The focus is on allocating appropriate perceptual tasks based on task and worker characteristics to optimize perceptual quality. Tasks arrive dynamically in a crowdsourcing system, and the platform cannot assign all tasks at the beginning. This can lead to the task allocation process falling into a local optimal solution. To address the problem, this paper proposes a two-stage prediction algorithm that utilises historical spatio-temporal data of crowdsourcing services. Firstly, the temporal data is converted into image data through Markov Transition Field. Then, the task availability is transformed into a categorisation problem. In the first stage, a ConvNeXt-based network is used to predict the task availability. In the second stage, a GRU-based network is used to predict the task duration. This paper presents the results of several experiments that confirm the effectiveness of the proposed algorithm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Spatio-temporal data

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