{"title":"基于大数据的征兵服保障优化研究","authors":"Chenggong Zhai, Shanbo Zhou, Gaoyang Zhang","doi":"10.1145/3373419.3373440","DOIUrl":null,"url":null,"abstract":"This paper mainly uses big data technology to analyze and statistics the distribution of conscription number over the years. Based on this result, the budget and preset of conscription material are made. Finally, the classification of conscription number is adjusted according to the characteristics of conscription recruits and the feedback of conscription distribution.","PeriodicalId":352528,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Optimizing the Support of Conscription Recruits Cloths Based on Big Data\",\"authors\":\"Chenggong Zhai, Shanbo Zhou, Gaoyang Zhang\",\"doi\":\"10.1145/3373419.3373440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper mainly uses big data technology to analyze and statistics the distribution of conscription number over the years. Based on this result, the budget and preset of conscription material are made. Finally, the classification of conscription number is adjusted according to the characteristics of conscription recruits and the feedback of conscription distribution.\",\"PeriodicalId\":352528,\"journal\":{\"name\":\"Proceedings of the 2019 3rd International Conference on Advances in Image Processing\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 3rd International Conference on Advances in Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3373419.3373440\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3373419.3373440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Optimizing the Support of Conscription Recruits Cloths Based on Big Data
This paper mainly uses big data technology to analyze and statistics the distribution of conscription number over the years. Based on this result, the budget and preset of conscription material are made. Finally, the classification of conscription number is adjusted according to the characteristics of conscription recruits and the feedback of conscription distribution.