{"title":"基于多源数据融合的未成年人刑事责任程序定位方法","authors":"Rui Qu","doi":"10.1109/ACAIT56212.2022.10137975","DOIUrl":null,"url":null,"abstract":"The identification and procedural orientation of juvenile criminal responsibility is an important part of maintaining social stability, standardizing social order and maintaining legal fairness and justice. Aiming at the low accuracy of the traditional method for locating juvenile criminal responsibility procedure, a method for locating juvenile criminal responsibility procedure based on multi-source data fusion is proposed. According to the distribution of explanatory variables of the orientation of juvenile criminal responsibility procedure, and taking the age of juvenile criminal responsibility, the protection of legal interests, social interests and other factors as reference variables, this paper makes a dynamic analysis of the statistical orientation of juvenile criminal responsibility procedure using multi-source information scheduling method. Based on the analysis results, according to the matching filter detection of the statistical information of the juvenile criminal responsibility procedure, a guidance model for juvenile criminal proceedings is constructed to obtain the statistical information of the juvenile criminal responsibility procedure. Under the parameters of the constraint index model, the statistical information characteristics of the transfer of the constraint index of juvenile criminal procedure law are extracted. The multi-source data fusion method is used for fuzzy clustering of the extracted feature quantities. According to the result of clustering, the criminal responsibility procedure for minors is determined. The simulation results show that the method has a high accuracy in determining the juvenile criminal responsibility procedure, and improves the scientificity, rationality and progressiveness of the age division of juvenile criminal responsibility.","PeriodicalId":398228,"journal":{"name":"2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Method for Locating Juvenile Criminal Responsibility Procedure Based on Multi-Source Data Fusion\",\"authors\":\"Rui Qu\",\"doi\":\"10.1109/ACAIT56212.2022.10137975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The identification and procedural orientation of juvenile criminal responsibility is an important part of maintaining social stability, standardizing social order and maintaining legal fairness and justice. Aiming at the low accuracy of the traditional method for locating juvenile criminal responsibility procedure, a method for locating juvenile criminal responsibility procedure based on multi-source data fusion is proposed. According to the distribution of explanatory variables of the orientation of juvenile criminal responsibility procedure, and taking the age of juvenile criminal responsibility, the protection of legal interests, social interests and other factors as reference variables, this paper makes a dynamic analysis of the statistical orientation of juvenile criminal responsibility procedure using multi-source information scheduling method. Based on the analysis results, according to the matching filter detection of the statistical information of the juvenile criminal responsibility procedure, a guidance model for juvenile criminal proceedings is constructed to obtain the statistical information of the juvenile criminal responsibility procedure. Under the parameters of the constraint index model, the statistical information characteristics of the transfer of the constraint index of juvenile criminal procedure law are extracted. The multi-source data fusion method is used for fuzzy clustering of the extracted feature quantities. According to the result of clustering, the criminal responsibility procedure for minors is determined. The simulation results show that the method has a high accuracy in determining the juvenile criminal responsibility procedure, and improves the scientificity, rationality and progressiveness of the age division of juvenile criminal responsibility.\",\"PeriodicalId\":398228,\"journal\":{\"name\":\"2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACAIT56212.2022.10137975\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACAIT56212.2022.10137975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method for Locating Juvenile Criminal Responsibility Procedure Based on Multi-Source Data Fusion
The identification and procedural orientation of juvenile criminal responsibility is an important part of maintaining social stability, standardizing social order and maintaining legal fairness and justice. Aiming at the low accuracy of the traditional method for locating juvenile criminal responsibility procedure, a method for locating juvenile criminal responsibility procedure based on multi-source data fusion is proposed. According to the distribution of explanatory variables of the orientation of juvenile criminal responsibility procedure, and taking the age of juvenile criminal responsibility, the protection of legal interests, social interests and other factors as reference variables, this paper makes a dynamic analysis of the statistical orientation of juvenile criminal responsibility procedure using multi-source information scheduling method. Based on the analysis results, according to the matching filter detection of the statistical information of the juvenile criminal responsibility procedure, a guidance model for juvenile criminal proceedings is constructed to obtain the statistical information of the juvenile criminal responsibility procedure. Under the parameters of the constraint index model, the statistical information characteristics of the transfer of the constraint index of juvenile criminal procedure law are extracted. The multi-source data fusion method is used for fuzzy clustering of the extracted feature quantities. According to the result of clustering, the criminal responsibility procedure for minors is determined. The simulation results show that the method has a high accuracy in determining the juvenile criminal responsibility procedure, and improves the scientificity, rationality and progressiveness of the age division of juvenile criminal responsibility.