神经网络在虐待儿童案件法医专家工作中的应用

IF 0.7 Q4 PSYCHIATRY
W. Oronowicz-Jaśkowiak
{"title":"神经网络在虐待儿童案件法医专家工作中的应用","authors":"W. Oronowicz-Jaśkowiak","doi":"10.5114/ppn.2019.92489","DOIUrl":null,"url":null,"abstract":"Purpose: One of the tasks that court experts in the field of forensic sexology have to perform is the assessment of secured pornographic materials involving minors. Forensic experts use their specialist knowledge to answer questions posed by the procedural authorities, including whether the material may induce sexual stimulation and whether an offender may be identified as having a disorder of sexual preference in the form of pedophilia. The aim of the article is to present the possibility of using neural networks in forensic sexology. Views: Neural networks are mathematical structures whose basic elements are artificial neurons modelled on the work of biological neurons. They are used in a variety of commercial and scientific tasks. Models for classifying pornographic materials (both images and films) and for estimating the age of the minors presented in these images are introduced. Neural networks can be used to categorize pornographic materials in the context of the growing levels of sexualization of minors. Moreover, the training of neural networks to classify specific objects in the pornographic material shown in these images could allow for the differentiation between the various categories of pornographic materials involving minors. Conclusions: Neural networks can be widely used in forensic sexology as an element supporting the work of forensic experts. The presented research results seem to be very promising, but the area requires further research.","PeriodicalId":39142,"journal":{"name":"Postepy Psychiatrii i Neurologii","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5114/ppn.2019.92489","citationCount":"4","resultStr":"{\"title\":\"The application of neural networks in the work of forensic experts in child abuse cases\",\"authors\":\"W. Oronowicz-Jaśkowiak\",\"doi\":\"10.5114/ppn.2019.92489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: One of the tasks that court experts in the field of forensic sexology have to perform is the assessment of secured pornographic materials involving minors. Forensic experts use their specialist knowledge to answer questions posed by the procedural authorities, including whether the material may induce sexual stimulation and whether an offender may be identified as having a disorder of sexual preference in the form of pedophilia. The aim of the article is to present the possibility of using neural networks in forensic sexology. Views: Neural networks are mathematical structures whose basic elements are artificial neurons modelled on the work of biological neurons. They are used in a variety of commercial and scientific tasks. Models for classifying pornographic materials (both images and films) and for estimating the age of the minors presented in these images are introduced. Neural networks can be used to categorize pornographic materials in the context of the growing levels of sexualization of minors. Moreover, the training of neural networks to classify specific objects in the pornographic material shown in these images could allow for the differentiation between the various categories of pornographic materials involving minors. Conclusions: Neural networks can be widely used in forensic sexology as an element supporting the work of forensic experts. The presented research results seem to be very promising, but the area requires further research.\",\"PeriodicalId\":39142,\"journal\":{\"name\":\"Postepy Psychiatrii i Neurologii\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.5114/ppn.2019.92489\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Postepy Psychiatrii i Neurologii\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5114/ppn.2019.92489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Postepy Psychiatrii i Neurologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5114/ppn.2019.92489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 4

摘要

目的:法医性学领域的法庭专家必须执行的任务之一是评估涉及未成年人的安全色情材料。法医专家利用他们的专业知识回答程序当局提出的问题,包括材料是否可能引起性刺激,以及罪犯是否可能被认定为有恋童癖形式的性偏好障碍。本文的目的是提出在法医性学中使用神经网络的可能性。观点:神经网络是一种数学结构,其基本元素是模仿生物神经元工作的人工神经元。它们被用于各种商业和科学任务中。介绍了分类色情材料(图像和电影)和估计这些图像中呈现的未成年人年龄的模型。神经网络可以用来分类在未成年人的性化水平不断增长的背景下的色情材料。此外,训练神经网络对这些图像中显示的色情材料中的特定对象进行分类,可以区分涉及未成年人的各种色情材料。结论:神经网络作为支持法医专家工作的要素,可广泛应用于法医性学。目前的研究结果似乎很有前景,但该领域还需要进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of neural networks in the work of forensic experts in child abuse cases
Purpose: One of the tasks that court experts in the field of forensic sexology have to perform is the assessment of secured pornographic materials involving minors. Forensic experts use their specialist knowledge to answer questions posed by the procedural authorities, including whether the material may induce sexual stimulation and whether an offender may be identified as having a disorder of sexual preference in the form of pedophilia. The aim of the article is to present the possibility of using neural networks in forensic sexology. Views: Neural networks are mathematical structures whose basic elements are artificial neurons modelled on the work of biological neurons. They are used in a variety of commercial and scientific tasks. Models for classifying pornographic materials (both images and films) and for estimating the age of the minors presented in these images are introduced. Neural networks can be used to categorize pornographic materials in the context of the growing levels of sexualization of minors. Moreover, the training of neural networks to classify specific objects in the pornographic material shown in these images could allow for the differentiation between the various categories of pornographic materials involving minors. Conclusions: Neural networks can be widely used in forensic sexology as an element supporting the work of forensic experts. The presented research results seem to be very promising, but the area requires further research.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Postepy Psychiatrii i Neurologii
Postepy Psychiatrii i Neurologii Psychology-Clinical Psychology
CiteScore
0.90
自引率
0.00%
发文量
13
期刊介绍: The quarterly Advances in Psychiatry and Neurology is aimed at psychiatrists, neurologists as well as scientists working in related areas of basic and clinical research, psychology, social sciences and humanities. The journal publishes original papers, review articles, case reports, and - at the initiative of the Editorial Board – reflections or experiences on currently vivid theoretical and practical questions or controversies. Articles submitted to the journal are evaluated first by the Section Editors, specialists in the fields of psychiatry, clinical psychology, science of the brain and mind and neurology, and reviewed by acknowledged authorities in the respective field. Authors and reviewers remain anonymous to each other.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信