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4th International Symposium on computer technology and Information Science, ISCTIS 2024

作者： Sun, Sen Tao, Yizheng Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350354560

In software engineering practice, accurate and efficient system scale evaluation is crucial for ensuring the accuracy of project management and fund allocation. Traditional software system scale assessment methods, such as expert decision-making, COCOMO models, functional point analysis, and analogy methods, are widely used, but are limited by high manual dependencies, low efficiency, and subjectivity. Therefore, this study proposes an innovative collaborative evaluation method - DALSE (Domain Adaptation Learning Size Evaluation) evaluation method, which combines automation models with expert experience. This method is based on the IFPUG function point standard, constructs the BiLSTM-CRF model software for automatic recognition of function point types, and introduces domain adaptive learning technology to effectively alleviate the problem of data scarcity in specific fields, achieving flexibility and accuracy in cross domain applications. Although the DALSE automation model has shown excellent performance in experiments, considering the complexity and importance of software scale evaluation, this study advocates an "Intelligent+Expert"collaborative evaluation model, which combines expert experience to verify the results and multi expert collaborative decision-making to determine the complexity factor of the project. The initial evaluation results are adjusted to ensure the comprehensiveness and reliability of the evaluation. This collaborative work mode effectively integrates automation technology while retaining manual verification to increase evaluation credibility, greatly improving evaluation efficiency and quality. By complementing intelligence and manual labor, DALSE provides a more reliable and efficient solution for software scale assessment, especially suitable for capital intensive projects, ensuring the scientific and rational cost estimation, and strongly supporting modern decision-making in project management. © 2024 IEEE.

关键词： application programs

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Design of Simulation and Evaluation System for Safety Operation in High Energy Radiation Scene Based on SysML 6

Design of Simulation and Evaluation System for Safety Operat...

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6th International Conference on Electronic engineering and Informatics, EEI 2024

作者： Wu, Huai An, Baoran Huang, Weijian Zhang, Xuedong Zeng, Sifeng Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350353594

With the emergence and wide application of new energy sources and technologies, various high-energy radiation devices have become indispensable core facilities and play an important role. At present, there are not only a large number of high-energy radiation devices in service, but also many have been or will enter the decommissioning stage. Aiming at the uncertainty and fuzziness of the traditional safety evaluation methods in the maintenance and decommissioning of high-energy radiation equipment, this paper designs the algorithms of task allocation, path planning and safety ergonomics evaluation for high-energy radiation equipment. Based on the system modeling language, the rationality of the system control flow is verified, and a simulation evaluation system for high-energy radiation equipment is developed to realize the comprehensive evaluation of safety operation schemes. © 2024 IEEE.

关键词： Decommissioning (nuclear reactors)

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Grey Markov model based horizontal scaling strategy for Kubernetes 6

Grey Markov model based horizontal scaling strategy for Kube...

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6th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2024

作者： Gao, Pengxiang Wang, Han Meng, Ziyang Zhang, Yakun China Academy of Engineering Physics Institute of Computer Application Mianyang China

ISBN: (纸本)9798350316520

With the rapid development and wide application of cloud computing technology, Kubernetes has attracted much attention as the most mainstream container cluster management tool. Aiming at the shortcomings of the horizontal auto-scaling strategy of Kubernetes itself, this paper proposes a horizontal auto-scaling optimization strategy based on the grey Markov model, which can effectively achieve fast scaling up to meet the sudden task requests and slow scaling down to reduce the SLA violation rate. Finally, the effectiveness of the algorithm is verified through experiments. © 2024 IEEE.

关键词： Markov processes

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Design of Data lineage Analysis Framework Based on Multivariate Attribute Fusion 4

Design of Data lineage Analysis Framework Based on Multivari...

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4th IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Wan, Rui Sun, Xiaohan Zhang, Jiaqi Liang, Yan Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350363586

With the advent of the digital age, it has become a consensus that data is an important asset, and it has become a common means to use data platform to manage and analyze data. However, in the process of enterprise data modeling or application, there are often a large number of chain reference relationships (data lineage) between data, which play an important role in data mining. How to construct more abundant data lineage and effectively carry out data lineage analysis has become one of the main challenges in data application and analysis. Therefore, this paper proposes a framework design of data lineage analysis framework based on multivariate attribute fusion. By supplementing the scope of data lineage, three-layer data lineage graphs are constructed to express different levels relationship, and various graph analysis algorithms are used to predict data lineage and reason to complete data lineage graphs, which can effectively support richer and more accurate data consanguinity applications. © 2024 IEEE.

关键词： Data assimilation

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Preference Incorporation in Evolutionary Multi-Objective Optimization By Logistic Function 2

Preference Incorporation in Evolutionary Multi-Objective Opt...

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2nd International Conference on Artificial Intelligence and Automation Control, AIAC 2024

作者： Lai, Guiyu Luo, Yanmei Zhang, Yaohui Liu, Zhen Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798331529147

In the field of engineering and economics, we frequently face challenges where several goals must be optimized simultaneously. Such scenarios fall under the category of multi-criteria decision-making, specifically known as multi-objective optimization problems (MOPs). Evolutionary multi-objective optimization algorithms (EMOAs) are successful applications of evolutionary computation in the field of MOPs. In order to enable traditional EMOAs to obtain the optimal solutions preferred by the decision maker (DM), preference-based evolutionary multi-objective optimization is proposed. Preference-based EMO can incorporate the preference information of the DM into EMOAs, so as to guide the population to search the region of interest (ROI) of the MOPs. This paper proposes a preference-based EMOA, called NSGA-II/LF, which incorporates the preference information of the DM into NSGA-II by logistic function. The performance of NSGA-II/LF is compared with several classical algorithms in many aspects on a large number of test problems. Through the summary and analysis of the experimental results, it is verified that the proposed algorithm can obtain high-quality optimal solutions in line with the preference of the DM when facing MOPs. © 2024 IEEE.

关键词： Multiobjective optimization

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Networked Vehicle Practices Based on Networked Firing Ranges 9

Networked Vehicle Practices Based on Networked Firing Ranges

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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024

作者： Zheng, Wenqi Ren, Hao Yang, Siqi Chen, Zhi Xie, Jiajun Pan, Wenqiang China Academy of Engineering Physics Institute of Computer Application Mianyang China

ISBN: (纸本)9798350391367

In recent years, with the rapid development of network and computer technologies, the Governments of the United States, Japan, the United Kingdom and the European Union, as well as influential organizations, have successively carried out the construction of cyberspace ranges targeting the verification of new network technologies. New technology validation based on cyberspace ranges can solve the problems of high cost, difficult to manage iterative versions, and difficult to measure the accuracy of results. Based on the above advantages, this paper, in order to solve the problem of autonomous driving of cars in the park, which is difficult to drive safely under the influence of environmental uncertainties, completes the hardware design of intelligent cars in the cyberspace target range and proposes a Bayesian network-based design method of steering redundancy for hardware circuits, which divides the steering data of the two cars under different environmental factors into training set and test set. The Bayesian network parameters are predicted by the training set, and the prediction effect of the Bayesian network is tested by the test set. The prediction results show that the steering accuracy prediction of the smart car under different environmental factors is within the 85% confidence interval of the Bayesian network prediction, which provides a feasible way to design a safe and efficient underlying controller for smart cars. © 2024 IEEE.

关键词： Steering

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A SSCPS safety assessment method based on mission risk 24

A SSCPS safety assessment method based on mission risk

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24th IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2024

作者： Shen, Yafeng Qi, Lianzhi Li, Shiyong Ma, Siyou Deng, Fei Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350365658

Cyber physical system (CPS) is a complex system that deeply integrates computing, network communication and control equipment. It has broad application prospects in aerospace, industrial production, transportation and other fields, and it also faces very severe security challenges. Especially for some safety-critical CPS (SSCPS), security issues will have serious consequences. How to carry out security assessment for safety-critical CPS systems has always been a hot issue in CPS research. This paper proposes a task risk-based SSCPS security assessment method. By decomposing the key tasks of the SSCPS system, identifying system risk elements based on task characteristics, and establishing the impact relationship between tasks and risk factors such as assets, vulnerabilities, and threats, construct a security assessment index system based on mission risk, and propose a security fusion method to achieve multilevel and multidimensional security assessment of SSCPS. © 2024 IEEE.

关键词： Risk assessment

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Software Defect Classification and Analysis Study 5

Software Defect Classification and Analysis Study

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5th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2024

作者： Zheng, Liyuan Xie, Yang Hou, Boyuan Xie, Xin China Academy of Engineering Physics Institute of Computer Application Mianyang China

ISBN: (纸本)9798350352719

This study proposes a set of improved defect categorization criteria and analysis strategies based on a synthesis of a variety of commonly used software defect categorization methods, combined with the actual software development and testing process. By exploring the defect analysis process, this paper discusses the application of this standard in practice. Finally, basic methods and processes are proposed for software defect prevention, providing theoretical and practical guidance for quality management in the software development process. © 2024 IEEE.

关键词： Software quality

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Research on Top-Down Collaborative Product Design Method

Research on Top-Down Collaborative Product Design Method

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2024 china Automation Congress, CAC 2024

作者： Ren, Qiang Ren, HaiLei Li, Ling Zhang, Shaokai An, Baoran Ma, Tao Institute of Computer Application China Academy of Engineering Physics MianYang China Institute of Fluid Physics China Academy of Engineering Physics MianYang China

ISBN: (纸本)9798350368604

This paper introduces a top-down collaborative design methodology rooted in the concept of initiating product development from a holistic perspective, encompassing overall scheme planning, layout design, and subsystem refinement, down to detailed component engineering. This approach transcends software platform constraints and harmoniously integrates with the R&D workflows prevalent across industries, especially in large-scale, interdisciplinary product development endeavors. The core of our proposal revolves around a skeleton model-based framework that encompasses the establishment of a collaborative platform, outlining a top-down collaborative design strategy, and facilitating parallel design efforts across departments. This ensures that product conception stems from a unified vision, with seamless intent communication and efficient multi-disciplinary labor division, ultimately culminating in a comprehensive digital prototype equipped with models suitable for advanced applications like finite element analysis and motion simulation, fostering innovation and efficiency in the entire design lifecycle. © 2024 IEEE.

关键词： Musculoskeletal system

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Research progress and development tendency on storage mechanism of multi-principal element alloys for hydrogen/tritium storage

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Rare Metals 2024年第11期43卷 5549-5572页

作者： Yi-Jie Chen Jian-Wei Zhang Can-Hui Xu Mu-Hong Li Shuang-Lin Hu Yue-Xia Wang Xiao-Tao Zu Hai-Yan Xiao Xiao-Song Zhou Shu-Ming Peng Hua-Hai Shen Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Key Laboratory of Nuclear Physics and Ion-Beam Application(MOE) Institute of Modern PhysicsDepartment of Nuclear Science and TechnologyFudan UniversityShanghai 200433China School of Physics University of Electronic Science and Technology of ChinaChengdu 610054China

Sustainable clean energy is gradually replacing traditional fossil energy sources in important industrial applications and is placing higher demands on the technologies of energy storage and *** development of multi-principal element alloys(MPEAs)offers a new idea for safe solid-state hydrogen storage *** to the unique characteristics of complex components and severe lattice distortion,MPEAs are predicted to have better hydrogen storage performance and more probability for modulation and enhancement,allowing them to meet the requirements of different hydrogen storage *** unique structure characteristic potentially devotes the improvement of thermodynamic and kinetic performance,such as the hydrogen storage capacity and hydrogen adsorption/desorption ***,several important modulation factors originating from components and structures facilitate the understanding of the correlation between hydrogen storage properties and ***,we highlight the correlations of hydrogen storage mechanism,with the degree of lattice distortion,the element variation or segregation and valence electron ***,the development tendency on the hydrogen storage mechanism based on the advanced microscopy and computational approach is ***,the chemically short-range ordered structure in MPEAs is predicted as a potential modification factor of the hydrogen/tritium storage properties.

关键词： Multi-principal element alloys(MPEAs) Hydrogen/Tritium storage Hydrogenation mechanism Development tendency Advanced microscopy

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