In view of the increasingly complex international situation, the maintenance of world peace in the future, and the protection of the country's overseas interests, China will participate in more and more peacekeeping missions. In the face of the complexities of peacekeeping equipment and the complex and poor peacekeeping environment, and the maintenance of conflicts in maintenance, we must make use of it. Limited resources to meet the needs of peacekeeping equipment support spare parts. Firstly, we analyze the characteristics of peacekeeping missions, and have different equipment support requirements for different peacekeeping missions, and propose the concept of peacekeeping equipment support. Secondly, we propose the maintenance equipment support demand forecasting steps, based on l'SO-BP neural network, and the equipment guarantee prediction model. Historical data, through experiments to verify fhe validity and rationality of fhe model. The experimental results show that the maintenance model based on PSO-BP neural network can effectively predict the demand for maintenance equipment spare parts and improve the effectiveness of maintenance equipment.
{"title":"Peacekeeping Equipment Support Spare Parts Demand Forecast","authors":"Rui Guo, Zhong Chen, Jing Liu, Jingyu Kang, Guoru Ding","doi":"10.1109/DSA.2019.00070","DOIUrl":"https://doi.org/10.1109/DSA.2019.00070","url":null,"abstract":"In view of the increasingly complex international situation, the maintenance of world peace in the future, and the protection of the country's overseas interests, China will participate in more and more peacekeeping missions. In the face of the complexities of peacekeeping equipment and the complex and poor peacekeeping environment, and the maintenance of conflicts in maintenance, we must make use of it. Limited resources to meet the needs of peacekeeping equipment support spare parts. Firstly, we analyze the characteristics of peacekeeping missions, and have different equipment support requirements for different peacekeeping missions, and propose the concept of peacekeeping equipment support. Secondly, we propose the maintenance equipment support demand forecasting steps, based on l'SO-BP neural network, and the equipment guarantee prediction model. Historical data, through experiments to verify fhe validity and rationality of fhe model. The experimental results show that the maintenance model based on PSO-BP neural network can effectively predict the demand for maintenance equipment spare parts and improve the effectiveness of maintenance equipment.","PeriodicalId":436097,"journal":{"name":"International Conferences on Dependable Systems and Their Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117140803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/DSA51864.2020.00077
Yu-Ping Zhu, Jun Shao, Yong Cai, Yue Shen
The civil aviation management department reviews airworthiness certification for aircraft products to ensure the airworthiness of aircraft products. The complexity of aircraft products and the characteristics of the airworthiness certification work determine that the airworthiness certification work requires that the certification reviewer need to have rich knowledge and experience in airworthiness domain. If these knowledges can be reused, it will effectively improve the airworthiness certification capability. Airworthiness compliance activities are the core of knowledge reuse. Therefore, in order to solve the problem of the accuracy of knowledge reuse in airworthiness compliance activities, based on the existing compliance activity ontology model, this paper further refines the model and constructs an attribute-oriented ontology model of airworthiness review compliance activity knowledge. At the same time, the attributes of compliance activities are introduced into the similarity measurement of compliance activities to form a new measurement method for calculating the similarity of compliance activities. This paper uses this model as a guide to construct a process-oriented airworthiness review compliance activity knowledge base and use it to recommend similar compliance activity cases. The test results show that this method can improve the judgment of the similarity of compliance activities and more effectively support the reuse of certification experience in the airworthiness certification process.
{"title":"Research on the Knowledge Ontology Model of Attribute-oriented Airworthiness Review Compliance Activities","authors":"Yu-Ping Zhu, Jun Shao, Yong Cai, Yue Shen","doi":"10.1109/DSA51864.2020.00077","DOIUrl":"https://doi.org/10.1109/DSA51864.2020.00077","url":null,"abstract":"The civil aviation management department reviews airworthiness certification for aircraft products to ensure the airworthiness of aircraft products. The complexity of aircraft products and the characteristics of the airworthiness certification work determine that the airworthiness certification work requires that the certification reviewer need to have rich knowledge and experience in airworthiness domain. If these knowledges can be reused, it will effectively improve the airworthiness certification capability. Airworthiness compliance activities are the core of knowledge reuse. Therefore, in order to solve the problem of the accuracy of knowledge reuse in airworthiness compliance activities, based on the existing compliance activity ontology model, this paper further refines the model and constructs an attribute-oriented ontology model of airworthiness review compliance activity knowledge. At the same time, the attributes of compliance activities are introduced into the similarity measurement of compliance activities to form a new measurement method for calculating the similarity of compliance activities. This paper uses this model as a guide to construct a process-oriented airworthiness review compliance activity knowledge base and use it to recommend similar compliance activity cases. The test results show that this method can improve the judgment of the similarity of compliance activities and more effectively support the reuse of certification experience in the airworthiness certification process.","PeriodicalId":436097,"journal":{"name":"International Conferences on Dependable Systems and Their Applications","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/DSA51864.2020.00089
Jianchun Xie, Yahui Li, Zhonghua Wang, L. Bai
the airborne information processing system, which is subordinate to the avionics system, is the basic sub-system performing information data processing in the aircraft platform. It provides computing, storage, information transmission and other basic resources for the whole aircraft, and can provide various functions and services such as computing, management, configuration, scheduling and other. The future development of airborne information processing system should be driven by the basic computer technology development and military requirements of aircraft platform. From these two perspectives, on the basis of full analysis of the development status, this paper summarizes the future airborne information processing system architecture and some key technical characteristics of the processing platform, laying a foundation for future research work.
{"title":"The Airborne Information Processing System Development Research","authors":"Jianchun Xie, Yahui Li, Zhonghua Wang, L. Bai","doi":"10.1109/DSA51864.2020.00089","DOIUrl":"https://doi.org/10.1109/DSA51864.2020.00089","url":null,"abstract":"the airborne information processing system, which is subordinate to the avionics system, is the basic sub-system performing information data processing in the aircraft platform. It provides computing, storage, information transmission and other basic resources for the whole aircraft, and can provide various functions and services such as computing, management, configuration, scheduling and other. The future development of airborne information processing system should be driven by the basic computer technology development and military requirements of aircraft platform. From these two perspectives, on the basis of full analysis of the development status, this paper summarizes the future airborne information processing system architecture and some key technical characteristics of the processing platform, laying a foundation for future research work.","PeriodicalId":436097,"journal":{"name":"International Conferences on Dependable Systems and Their Applications","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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