A Study on Fuzzy Searching Algorithm and Conditional-GAN for Crime Prediction System

In this study, artificial intelligence-based algorithms were proposed, which included a fuzzy search for matching suspects between current and historical crimes in order to obtain related cases in criminal history, as well as conditional generative adversarial networks for crime prediction system (C...

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Published in한국정보전자통신기술학회 논문지 Vol. 14; no. 2; pp. 149 - 160
Main Authors Carmelita Afonso(카멜리타 아폰소), Han-Kyung, Yun(윤한경)
Format Journal Article
LanguageEnglish
Published 한국정보전자통신기술학회 01.04.2021
Subjects
전자/정보통신공학
AI
Fuzzy Searching Algorithm
Generative Networks
Crime Prediction System
CGAN
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Summary:In this study, artificial intelligence-based algorithms were proposed, which included a fuzzy search for matching suspects between current and historical crimes in order to obtain related cases in criminal history, as well as conditional generative adversarial networks for crime prediction system (CPS) using Timor-Leste as a case study. By comparing the data from the criminal records, the built algorithms transform witness descriptions in the form of sketches into realistic face images. The proposed algorithms and CPS's findings confirmed that they are useful for rapidly reducing both the time and successful duties of police officers in dealing with crimes. Since it is difficult to maintain social safety nets with inadequate human resources and budgets, the proposed implemented system would significantly assist in improving the criminal investigation process in Timor-Leste. KCI Citation Count: 0
ISSN:2005-081X
2288-9302