• 한국경영정보학회:학술대회논문집
• /
• 2007.06a
• /
• pp.1036-1042
• /
• 2007

현재 우리나라 상수도 시스템의 경우 대부분 각 가정집에 설치된 계량기의 측정값을 검침원이 육안으로 확인, 수기 기입 방법으로 수도 검침이 이루어지고 있다. 이러한 방법은 사생활 침해 및 범죄로 이어질 가능성이 있다. 본 논문에서는 상수도의 검침데이터를 무선주파수 및 코드분할다중접속방식을 사용하여 송수신 가능한 네트워크 망을 구축, 수신된 데이터 값을 활용하여 각 상수도 수용가의 사용량을 자동으로 검침하여 청구 내역서까지 작성해 주는 상수도 자동검침시스템을 소개한다. 상수도 자동검침시스템은 검침을 디지털화하고 이를 무선송신 가능한 검침기와 검침기의 검침데이터 값을 송수신 할 수 있는 중계기 및 집중기, 그리고 CDMA 망을 통한 검침데이터를 수신할 수 있는 애플리케이션 서버 등을 구축하여 지역 내 원격 검침 네트워크 망을 구축하는 것을 포함하고 있다. 본 연구의 시스템은 화재, 가스, 전기 등의 검침데이터를 통합으로 수집하여 데이터를 관리하는 통합 시스템으로 확대가 용이하며 이러한 상수도 자동검침시스템은 누수 및 독거노인 등의 생활보호대상자의 안전을 확인하는 기초 정보로도 활용할 수 있다.

• 한국디지털정책학회:학술대회논문집
• /
• 2007.06a
• /
• pp.59-67
• /
• 2007

현재 우리나라의 상수도 시스템의 경우 대부분 각 가정집에 설치된 계량기의 측정값을 검침원이 육안으로 확인, 수기 기입 방법으로 수도 검침이 이루어지고 있다. 이러한 방법은 사생활 침해 및 범죄로 이어질 가능성이 있다. 본 논문에서는 상수도의 검침데이터를 무선주파수 및 코드분할다중접속방식을 사용하여 송수신 가능한 네트워크 망을 구축, 수신된 데이터 값을 활용하여 각 상수도 수용가의 사용량을 자동으로 검침하여 청구 내역서까지 작성해 주는 상수도 원격검침시스템을 소개한다. 상수도 자동검침시스템은 검침을 자동화하고 이를 무선송신 가능한 검침기와 검침기의 검침데이터 값을 송수신 할 수 있는 중계기 및 집중기, 그리고 CDMA 망을 통한 검침데이터를 수신할 수 있는 애플리케이션 서버 등을 구축하여 지역 내 원격검침 네트워크 망을 구축하는 것을 포함하고 있다. 본 연구의 시스템은 화재, 가스, 전기 등의 검침데이터를 통합으로 수집하여 데이터를 관리하는 통합 시스템으로의 확대가 용이하며 이러한 상수도 원격검침시스템은 누수 및 독거노인 등의 생활보호대상자의 안전을 확인하는 기초 정보로도 활용할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.04a
• /
• pp.836-839
• /
• 2011

최근 개인정보보호에 대한 인식이 높아지면서 기업뿐만 아니라 국가적 차원에서도 많은 노력을 하고 있다. 하지만 이러한 현실 속에서도 운송업계는 고객에 대한 개인정보 관리가 매우 미흡 하다. 특히 운송장을 통한 개인정보 노출은 심각한 수준이며, 노출된 개인정보는 보이스 피싱, 택배 기사를 사칭한 강도, 물품 가로채기와 같은 범죄로 이어지고 있다. 따라서 본 논문에서는 운송장 정보를 키 교환방식으로 암호화한 바코드 운송장을 제안하고, 개인정보 노출로부터 안전한 배송 서비스 모델을 제시한다.

• The Korean Journal of Air & Space Law and Policy
• /
• v.25 no.1
• /
• pp.27-54
• /
• 2010

Soon after September 11 attacks in 2001, there were strong demands in Korea on making relevant laws and regulations on aviation security, and Korean parliament legislated "Aviation Safety and Security Act"to fulfill the demands on safety and security of aircrafts during aviation. However, the current Aviation Safety and Security Act seems to have many problems which do not meet the practical needs in Korea, because there were not enough considerations on the practical needs and extinguishable national circumstances on civil aviation system in Korea, but only regarded the relevant international conventions and foreign practices on it. In this context, it is necessary to amend several provisions in Aviation Safety and Security Act to enhance more practical efficiencies in its implementation through systematization of the provisions on crimes which may happen during aviation. In this context, this article argues two main issues. First, Article 39 of Aviation Safety and Security Act does not express whether it is possible to punish the attempt of crime of causing damage to aircraft. Therefore, regarding a principle of legality, it is impossible to punish the perpetrator even when coincidently failed to destruct or damage aircraft. In this context, this article argues that the necessity to introduce the possibility to punish the attempt of crime of causing damage to aircraft. Second, regarding Article 160 of Civil Aviation Act of Korea, current Aviation Safety and Security Act should be amended by guaranteeing the culpability of negligence of crime of causing damage to aircraft.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.707-715
• /
• 2023

This study utilized CART algorithm, a decision tree analysis method, to comparatively analyze factors affecting housing and residential environment satisfaction by region using data from Ministry of Land, Infrastructure and Transport's housing survey in 2020. First, in terms of residential environment satisfaction, accessibility to medical facilities and school district showed higher importance in metropolitan cities and areas compared to other regions, whereas safety from accident showed the opposite trait, showing difference between region. Second, housing characteristics were important in housing satisfaction, indoor environment level satisfaction and indoor safety and hygiene being important in almost all regions, while residential environment characteristics were more important in residential environment satisfaction and influencing factors were relatively evenly distributed. In order to generalize these regional characteristics, research using time series data needs to be conducted later.

• The Journal of the Korea Contents Association
• /
• v.19 no.8
• /
• pp.667-676
• /
• 2019

In recent years, the occurrence of life and violent crime in the city centered on crime-prone areas has become a big issue, raising the public interest in safety from crime has been higher than ever. As the initial response to crime and the importance of crime prevention are emerging, the government is preparing various measures such as crime prevention service using advanced technology. This project is a demonstration project to select specific target sites and apply that on a trial basis with the main purpose of commercialization of intelligent crime prevention technologies and services. In order to spread the business through the demonstration project, it is expected that the practical economic evaluation as well as the academic and practical value of the project will have a great significance. In this study, the purpose of this research is to derive economic feasibility through technologies and services to be implemented in Indokwon district of Anyang city, which is selected demonstration site of the intelligent security, to promote the spread of business and contribute to the policy activation.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.4
• /
• pp.64-80
• /
• 2018

In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06d
• /
• pp.58-60
• /
• 2011

최근 택시를 이용한 범죄가 늘어남에 따라 대부분의 여성 탑승자들은 긴장과 불안감을 느끼면서 택시를 이용한다. 탑승자들의 불안감은 택시 영업을 하고 있는 사람에게도 불쾌한 일이며, 이로 인해 탑승자와 택시 영업을 하고 있는 사람 간에 마찰이 생긴다. 이러한 문제점을 해결하기 위해 택시 기사와 택시에 대한 정보, 현재 위치에 대한 정보, 알람 기능을 이용한 방법을 제안한다. 이 방법으로 인해 탑승자의 안전은 회사로부터 실시간 보호받고 있으므로 탑승자는 이전보다 택시를 이용하는 것에 대해 안전함을 느끼면서 택시를 이용할 수 있다.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.34 no.4
• /
• pp.27-34
• /
• 2018

Flat or Multiple Dwelling Houses are relatively vulnerable to crime safety. Crime prevention measures are urgently needed because crime is 2.6 times higher than in real apartments. Through the analysis of domestic and foreign crime prevention design standards, field survey, and interviews with experts, 27 items of crime prevention design criteria for flat or multiple dwelling house were derived, and ten design criteria that should be considered first by the expert AHP were derived. As a result of the pilot evaluation of existing flat or multiple dwelling house, the houses completed after 2015 have relatively high level of crime prevention, but the houses constructed before that are very vulnerable. The policy and system improvement plan based on the analysis result is as follows. First, new housing should be promoted to meet minimum criteria by supplying and educating public officials, architects, and building owners in the short term to provide criteria for flat or multiple dwelling house crime prevention plans. Second, existing housing should be supported with basic crime prevention support projects such as security windows for flat or multiple dwelling house where security of residential environment such as urban renewal policy is poor. Third, the Enforcement Decree of the Building Act shall be revised to make the crime prevention environment design of flat or multiple dwelling house obligatory, and the criteria of flat or multiple dwelling house crime prevention plan should be reflected in the notice of crime prevention building standard.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.27 no.2
• /
• pp.19-33
• /
• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.