A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -

Bong Soo Kim; Dong wook Kang; Eun Joo Lee; Dae bum Lee; Ji Woong Ryu

doi:10.1007/978-981-99-1252-0_21

A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -

Bong Soo Kim
, Dong wook Kang
, Eun Joo Lee
, Dae bum Lee
, Ji Woong Ryu

Department of Law

Gimcheon University
Mokwon University
Dongguk University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The crime rate in Gimcheon through the analysis of big data in 2020 was 3933 cases in Gimcheon City in 2019, up 5.2% from 3740 cases in the previous year. If big data managed by the police is used as information sharing and cooperation among agencies through a common network to reflect it in various policies, it can prevent duplicate benefits if a crime prevention system can be established. Therefore, it is expected to help cover more policies to create a safe city, which could effectively be reflected in budget allocation for supporting safe city. And there is a need to conduct continuous management of and violence education with public institutions or private institutions. In this paper, the prediction model of big data collects basic crime data and Hadoop-based big data and applies the model with the best prediction accuracy by applying data preprocessing and characteristic engineering. The prediction algorithm constituting the prediction engine applies the deep learning RNN algorithm.

Original language	English
Title of host publication	Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022
Editors	Ji Su Park, Laurence T. Yang, Yi Pan, Yi Pan, Jong Hyuk Park
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	173-177
Number of pages	5
ISBN (Print)	9789819912513
DOIs	https://doi.org/10.1007/978-981-99-1252-0_21
State	Published - 2023
Event	14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022 - Vientiane, Lao People's Democratic Republic Duration: 19 Dec 2022 → 21 Dec 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1028 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022
Country/Territory	Lao People's Democratic Republic
City	Vientiane
Period	19/12/22 → 21/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Big data
CPTED
Crime prevention education
Safety Village School
The school violence prevention education

Access to Document

10.1007/978-981-99-1252-0_21

Cite this

Kim, B. S., Kang, D. W., Lee, E. J., Lee, D. B., & Ryu, J. W. (2023). A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -. In J. S. Park, L. T. Yang, Y. Pan, Y. Pan, & J. H. Park (Eds.), Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022 (pp. 173-177). (Lecture Notes in Electrical Engineering; Vol. 1028 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1252-0_21

Kim, Bong Soo ; Kang, Dong wook ; Lee, Eun Joo et al. / A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -. Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. editor / Ji Su Park ; Laurence T. Yang ; Yi Pan ; Yi Pan ; Jong Hyuk Park. Springer Science and Business Media Deutschland GmbH, 2023. pp. 173-177 (Lecture Notes in Electrical Engineering).

@inproceedings{e2b781b792234f1aa17293ea7f530a69,

title = "A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -",

abstract = "The crime rate in Gimcheon through the analysis of big data in 2020 was 3933 cases in Gimcheon City in 2019, up 5.2\% from 3740 cases in the previous year. If big data managed by the police is used as information sharing and cooperation among agencies through a common network to reflect it in various policies, it can prevent duplicate benefits if a crime prevention system can be established. Therefore, it is expected to help cover more policies to create a safe city, which could effectively be reflected in budget allocation for supporting safe city. And there is a need to conduct continuous management of and violence education with public institutions or private institutions. In this paper, the prediction model of big data collects basic crime data and Hadoop-based big data and applies the model with the best prediction accuracy by applying data preprocessing and characteristic engineering. The prediction algorithm constituting the prediction engine applies the deep learning RNN algorithm.",

keywords = "Big data, CPTED, Crime prevention education, Safety Village School, The school violence prevention education",

author = "Kim, \{Bong Soo\} and Kang, \{Dong wook\} and Lee, \{Eun Joo\} and Lee, \{Dae bum\} and Ryu, \{Ji Woong\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022 ; Conference date: 19-12-2022 Through 21-12-2022",

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isbn = "9789819912513",

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pages = "173--177",

editor = "Park, \{Ji Su\} and Yang, \{Laurence T.\} and Yi Pan and Yi Pan and Park, \{Jong Hyuk\}",

booktitle = "Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022",

address = "Germany",

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Kim, BS, Kang, DW, Lee, EJ, Lee, DB & Ryu, JW 2023, A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -. in JS Park, LT Yang, Y Pan, Y Pan & JH Park (eds), Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. Lecture Notes in Electrical Engineering, vol. 1028 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 173-177, 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022, Vientiane, Lao People's Democratic Republic, 19/12/22. https://doi.org/10.1007/978-981-99-1252-0_21

A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -. / Kim, Bong Soo; Kang, Dong wook; Lee, Eun Joo et al.
Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. ed. / Ji Su Park; Laurence T. Yang; Yi Pan; Yi Pan; Jong Hyuk Park. Springer Science and Business Media Deutschland GmbH, 2023. p. 173-177 (Lecture Notes in Electrical Engineering; Vol. 1028 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -

AU - Kim, Bong Soo

AU - Kang, Dong wook

AU - Lee, Eun Joo

AU - Lee, Dae bum

AU - Ryu, Ji Woong

PY - 2023

Y1 - 2023

N2 - The crime rate in Gimcheon through the analysis of big data in 2020 was 3933 cases in Gimcheon City in 2019, up 5.2% from 3740 cases in the previous year. If big data managed by the police is used as information sharing and cooperation among agencies through a common network to reflect it in various policies, it can prevent duplicate benefits if a crime prevention system can be established. Therefore, it is expected to help cover more policies to create a safe city, which could effectively be reflected in budget allocation for supporting safe city. And there is a need to conduct continuous management of and violence education with public institutions or private institutions. In this paper, the prediction model of big data collects basic crime data and Hadoop-based big data and applies the model with the best prediction accuracy by applying data preprocessing and characteristic engineering. The prediction algorithm constituting the prediction engine applies the deep learning RNN algorithm.

AB - The crime rate in Gimcheon through the analysis of big data in 2020 was 3933 cases in Gimcheon City in 2019, up 5.2% from 3740 cases in the previous year. If big data managed by the police is used as information sharing and cooperation among agencies through a common network to reflect it in various policies, it can prevent duplicate benefits if a crime prevention system can be established. Therefore, it is expected to help cover more policies to create a safe city, which could effectively be reflected in budget allocation for supporting safe city. And there is a need to conduct continuous management of and violence education with public institutions or private institutions. In this paper, the prediction model of big data collects basic crime data and Hadoop-based big data and applies the model with the best prediction accuracy by applying data preprocessing and characteristic engineering. The prediction algorithm constituting the prediction engine applies the deep learning RNN algorithm.

KW - Big data

KW - CPTED

KW - Crime prevention education

KW - Safety Village School

KW - The school violence prevention education

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DO - 10.1007/978-981-99-1252-0_21

M3 - Conference contribution

AN - SCOPUS:85163931382

SN - 9789819912513

T3 - Lecture Notes in Electrical Engineering

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BT - Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022

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A2 - Yang, Laurence T.

A2 - Pan, Yi

A2 - Park, Jong Hyuk

PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 19 December 2022 through 21 December 2022

ER -

Kim BS, Kang DW, Lee EJ, Lee DB, Ryu JW. A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -. In Park JS, Yang LT, Pan Y, Pan Y, Park JH, editors, Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 173-177. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-99-1252-0_21

A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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