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제언 - 사고수사와 책임에 관한 단상(斷想)

  • Jeong, Jin-U
    • 월간산업보건
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    • s.367
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    • pp.4-8
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    • 2018
  • 사망자 또는 다수의 부상자가 나오는 큰 사고가 발생하면, 경찰.검찰에 의해 사고의 원인 규명을 위한 책임추급을 목적으로 하는 사고수사와, 사고의 재발 방지를 목적으로 하는 사고조사가 이루어진다. 이는 법률위반을 한 사고책임자를 찾아내어 처벌하고, 그것을 통해 예방효과를 노리는 것이다.

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Cyber forensics domain ontology for cyber criminal investigation (사이버 범죄 수사를 위한 사이버 포렌식 범주 온톨로지)

  • Park, Heum
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.8
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    • pp.1687-1692
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    • 2009
  • Cyber forensics is used the process and technology of digital forensics as a criminal investigation in cyber space. Cyber crime is classified into cyber terror and general cyber crime, and those two classes are connected with each other. The investigation of cyber terror requires high technology, system environment and experts, and general cyber crime is connected with general crime by evidence from digital data in cyber space. Accordingly, it is difficult to determine relational crime types, collect evidence and the legal admissibility of evidence. Therefore, we considered the classifications of cyber crime, the collection of evidence in cyber space and the application of laws to cyber crime. In order to efficiently investigate cyber crime, it is necessary to integrate those concepts for each cyber crime-case. In this paper, we constructed a cyber forensics domain ontology for cyber criminal investigation using the concepts, relations and properties, according to categories of cyber crime, laws, evidence, and information of criminals and crime-cases. This ontology can be used in the process of investigating of cyber crime-cases, and for data mining of cyber crime; classification, clustering, association and detection of crime types, crime cases, evidences and criminals.

A Study on the Chain of Custody for Securing the Faultlessness of Forensic Data (포렌식 자료의 무결성 확보를 위한 수사현장의 연계관리 방법 연구)

  • Lee, Gyu-an;Shin, young-Tae;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.6 s.44
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    • pp.175-184
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    • 2006
  • Computer Forensics functions by defending the effects and extracting the evidence of the side effects for production at the court. Has the faultlessness of the digital evidence been compromised during the investigation, a critical evidence may be denied or not even be presented at the trial. The presented monograph will deliberate the faultlessness-establishing chain procedures in disk forensics, system forensics, network forensics, mobile forensics and database forensics. Once the faultlessness is established by the methods proposed, the products of investigation will be adopted as a leading evidence. Moreover, the issues and alternatives in the reality of digital investigation are presented along with the actual computer forensics cases, hopefully contributing to the advances in computer digital forensics and the field research of information security.

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A Study on the Basic Forms and Principles of Saam's 5 Phases of Acupuncture Method (사암오행침법(舍巖五行鍼法)의 기본 형태와 이론에 관한 고찰)

  • Lee, Sang-Yong;Youn, Hyun-Min;Lee, In-Seon
    • Journal of Acupuncture Research
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    • v.24 no.1
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    • pp.39-47
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    • 2007
  • 목적 : 사암오행침법의 다양한 변형처방과 그 구성 원리에 대한 연구가 여러 편 있지만 아직 처방구성 형태를 완전하게 분석하거나 그러한 구성을 가능하게 하는 기본 이론에 대해서는 충분히 밝혀지지 않은 상태이다. 본 논문은 사암오행침법의 처방구성 기본이론과 형태에 대해 고찰하고자 한다. 방법 : 본 연구는 사암도인침법에 있는 240개의 처방을 사암이 사용한 문장과 용어인 생왕휴수사(生旺休囚死)와 상생자가보(相生者可補) 상극자필사(相克者必瀉)를 중심으로 분석하여 고찰 하였다 결론 : 1. 오행의 초기개념은 별의 움직임이나 계절의 변화, 관직이름 등과 관련되어 있으며, 이것은 하나의 요소라기보다는 변화과정을 나누어 설명하고자 하는 개념이었으며, 또한 오행은 절대적 우위를 지닌 관계가 아니었고 상황에 따라 지배를 받기도 하고, 지배를 하기도 하는 관계로 보았다. 2. 왕상휴수사(旺相休囚死)는 오행의 또 다른 개념이며 왕상휴(旺相休)는 가족의 개념이고 수사(囚死)는 적의 개념으로, 왕상휴(旺相休)는 오행의 상생관계로, 수사(囚死)는 상극관계로 여겨진다. 3. 소위 정격(正格)에 해당하는 처방은 240개의 처방 중 119개가 해당되지만, 21가지 다른 처방형태 중의 하나이다. 이는 주요 처방형태가 될 수 있지만 기본 처방형태라고는 할 수 없으며, 왕상휴수사(旺相休囚死)와 상생자가보(相生者可補) 상극자필윤(相克者必潤)가 결합된 형태가 기본 형태가 되어야 한다. 4. 사암의 처방원칙 중 하나는 상생관계나 상극관계 내에 있는 오행요소끼리는 자신을 포함해 상황에 따라 선택적으로 보(補)나 사(瀉)를 할 수 있다는 것이고, 다른 하나는 실(실)ㅋ한 경우에만 해당하는 것으로 상생관계에 있는 가족 중에서 모(母)나 자신을 보(補)하고 자(子)를 사(瀉)하는 방법을 사용하기도 한다는 것이다.

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Digital Forensics Ontology for Intelligent Crime Investigation System (지능형 범죄수사 시스템을 위한 범용 디지털포렌식 온톨로지)

  • Yun, Han-Kuk;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.161-169
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    • 2014
  • Digital forensics is the process of proving criminal charges by collecting and analyzing digital evidence which is related to the crime in question. Most digital forensic research is focused on digital forensic techniques themselves or cyber crime. In this paper, we designed a digital forensics-criminal investigation linked model in order to effectively apply digital forensics to various types of criminal investigations. Digital forensic ontology was developed based on this model. For more effective application of digital forensics to criminal investigation we derived specific application fields. The ontology has legality rules and adequacy rules, so it can support investigative decision-making. The ontology can be developed into an intelligent criminal investigation system.

A math-historical outlook on etymology of korean number words: from hana(one) to yoel(ten) (한국어 수사의 어원에 관한 수학사적 조망: 하나에서 열까지)

  • Park, Kyo-Sik
    • Journal for History of Mathematics
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    • v.21 no.3
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    • pp.97-112
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    • 2008
  • In this study, the research results up to now on original word form and its meaning of Korean number words hana, dul, ..., yeol are looked out from math-historically. In fact, finding out original word form and its meaning of hana, dul, and set(ses) may not be possible in the respect of history of mathematics. There might have been a gap between set(ses) and net(nes), and between net(nes) and daseot(daseos). Original word form and its meaning of hana, dul, set(ses), and net(nes) must be found out in different aspect from those of daseot(daseos), yeoseot(yeoseos), ..., yeol. There might have been a gap between yeoseot(yeoseos) and ilgop(ilgob). Coining number word mechanism for ilgop(ilgob), yeodeol,(yeodeolb) and ahop(ahob) might have been same each other. There might have been a gap between ahop(ahob) and yeol. The research results up to now have not paid attention to this gaps sufficiently. But according to history of mathematics, there must have existed several gaps.

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Plans to Integrate for the Polygraph Institution (거짓말탐지기 교육기관의 일원화 방안)

  • Kang, Dong Beom;Bae, Du Yeol
    • Convergence Security Journal
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    • v.15 no.1
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    • pp.49-57
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    • 2015
  • As the capitalist society was launched, false has been increasing day by day for the personal profit. Study after study since a long time ago has concluded that today's polygraph developed in order to determine these false. In Korea the polygraph has been used actively in current investigation agency, and passively in a private enterprise by a former polygraph examinant from the investigation agency. Each investigation agency is recruiting polygraph examinants through the strict qualifications, training education. Decisions of Supreme Court precedents about the polygraph test results are denying admissibility of evidence in reliability on the efficiency of a test equipment, way to ask, qualities of polygraph examinant, etc. The most fundamental cause of the issues mentioned in the precedents is that examinants of each investigation agency are being trained by dual education not centralized. Because of each investigation agency has its own training and polygraph examinant, each agency can occur variations every agency or every examinant, therefore ensuring the centralized educational system is needed. In this way, ensuring the centralized educational system will contribute to improve the reliability of polygraph test results and make a retrenchment in the educational budget in accordance with examinant training of each agency.

A Statistical Analysis on Forensic Autopsies Performed in Korea in 2017 (2017년도 법의부검에 대한 통계적 고찰)

  • Park, Ji Hye;Na, Joo-Young;Lee, Bong Woo;Yang, Kyung-moo;Choi, Young Shik
    • The Korean Journal of Legal Medicine
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    • v.42 no.4
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    • pp.111-125
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    • 2018
  • Statistical analysis was performed on national forensic autopsy data collected in the Republic of Korea, with the exception of Ulsan, during 2017. A total of 8,777 cases were categorized based on the region; information was provided by the Police Agency and the Coast Guard regarding sex, age, manner of death, and cause of death. Analysis of the manner of death revealed that 3,971 cases (45.2%) were unnatural deaths, 3,679 cases (41.9%) were natural deaths, and 1,127 cases (12.8%) were unknown deaths. Among the unnatural deaths, the majority of the cases (1,740 cases, 43.8%) were accidents, 1,316 cases (33.1%) were suicide, 385 cases (9.7%) were homicide, and 530 cases (13.3%) were undetermined deaths. Among the unnatural deaths, the majority of the cases (1,575 cases, 39.7%) were trauma, followed by 793 cases (20.0%) of poisoning and 689 cases (17.4%) of asphyxia. Falling down was the major cause of death by trauma (737 cases, 46.8%). As a result of the classification of asphyxia based on previous study, strangulation was the major cause, with 538 cases (78.1%). Among the natural deaths, heart disease was the major cause (1,790 cases, 48.7%), followed by vascular disease (697 cases, 18.9%).

A Named Entity Recognition Model in Criminal Investigation Domain using Pretrained Language Model (사전학습 언어모델을 활용한 범죄수사 도메인 개체명 인식)

  • Kim, Hee-Dou;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.13-20
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    • 2022
  • This study is to develop a named entity recognition model specialized in criminal investigation domains using deep learning techniques. Through this study, we propose a system that can contribute to analysis of crime for prevention and investigation using data analysis techniques in the future by automatically extracting and categorizing crime-related information from text-based data such as criminal judgments and investigation documents. For this study, the criminal investigation domain text was collected and the required entity name was newly defined from the perspective of criminal analysis. In addition, the proposed model applying KoELECTRA, a pre-trained language model that has recently shown high performance in natural language processing, shows performance of micro average(referred to as micro avg) F1-score 98% and macro average(referred to as macro avg) F1-score 95% in 9 main categories of crime domain NER experiment data, and micro avg F1-score 98% and macro avg F1-score 62% in 56 sub categories. The proposed model is analyzed from the perspective of future improvement and utilization.