• Title/Summary/Keyword: Danger Information

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Design and Implementation of Crime Prevention System Targeting Women by Using Public BigData (공공 빅데이터를 이용한 여성 대상 범죄 예방 시스템의 설계 및 구현)

  • Ko, Sung-Wook;Oh, Su-Bin;Baek, Se-In;Park, Hyeok-Ju;Park, Mee-Hwa;Lee, Kang-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.561-564
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    • 2016
  • If using crime map which represents criminal section that violent crimes targeting women frequently happened, the police could prevent additional crimes by positioning themselves intensively in expected crime zones and each individual could avoid being damaged by referring information of criminal zones. In this paper, by analyzing crimes targeting women and offender information which is provided in public-opened datum portal, we suppose a system which prevents crimes that calculates locational danger and, by considering location and age group of users, provides user-customized information of danger. By crawling the criminals datum which is provided in public-opened datum portal, It collects them. About the areas which happened sexual crimes, calculating danger of crime based on statistical crime information including criminal information, residence of offenders, areas which happened sexual crimes, sentences and the number of crime, this system is able to visualize the areas which sexual crimes happened based on information of danger grade representing on user's location. The score of danger calculated in location unit can provide criminal information according to location and ages of users by interacting GIS.

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Quality of Health Information on the Internet

  • Lotfia Mahmoud Refaat Shenishen
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.147-151
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    • 2023
  • The article reviews the quality of information on the Internet in general and health information in particular, where the accumulation and steady increase of information available on the Internet, without concern for its quality or importance, and regardless of the target audience, in addition to the lack of evidence of its credibility such as the availability of the name of the editor and references, and the availability of the name of an academic or research body responsible for that information. Add to this the lack of bibliographic data that can help infer the novelty of the information, and verify the element of trust in it . The problem is exacerbated with regard to the health information available on the Internet, due to its danger resulting from the presence of false health information that may cause danger to human health if relied upon. Through this article, the researcher proposes criteria that can help users search for information to measure the degree of quality, trust, and credibility of information in general and health information available on the Internet in particular.

Development of Workplace Risk Assessment System Based on AI Video Analysis

  • Jeong-In Park
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.151-161
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    • 2024
  • In this paper, we develop 'the Danger Map' of a workplace to identify risk and harmful factors by analyzing images of each process within the manufacturing plant site using artificial intelligence (AI). We proposed a system that automatically derives 'the risk and safety levels' based on the frequency and intensity derived from this Danger Map in accordance with actual field conditions and applies them to similar manufacturing industries. In particular, in the traditional evaluation method of manually evaluating the risk of a workplace using Excel, the risk level for each risk and harmful factor acquired from the video is automatically calculated and evaluated to ensure safety through the system and calculate the safety level, so that the company can take appropriate actions accordingly. and measures were prepared. To automate safety calculation and evaluation, 'Heinrich's law' was used as a model, and a 5X4 point evaluation scale was calculated for risky behavior patterns. To demonstrate this system, we applied it to a casting factory and were able to save 2 people the time and labor required to calculate safety each month.

A Study on Implementation of Safety Navigation Mobile Application Converging Marine Environment Information and Location-Based Service

  • Jeon, Joong-Sung
    • Journal of Navigation and Port Research
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    • v.43 no.5
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    • pp.289-295
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    • 2019
  • In this paper, we implemented a safety navigation mobile application that converged AtoN information and location-based services. When application user uses the smartphone's GPS sensor to transmit the user's vessel location data to the data server, the user receives information of which its providing range is considered, such as stored AtoN data, neighboring vessels information, danger area, and weather information in the server. Providing information is sorted based on the smartphone's direction and inclination and it will be also delivered via wireless network (5G, LTE, 3G, WiFi). Additionally the application is available to implement other functions such as information provision through voice and text alarming service when the user's vessel is either approaching or entering the danger area, and an expanded information provision service that is available in shadow area linking with data-storing methods; other linkable data such as weather and other neighboring vessels will be applied based on the lasted-saved data perceived from the non-shadow area.

The danger and vulnerability of eavesdropping by using loud-speakers (스피커를 이용한 도청 위험에 대한 연구)

  • Lee, Seung Joon;Ha, Young Mok;Jo, Hyun Ju;Yoon, Ji Won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.6
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    • pp.1157-1167
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    • 2013
  • The development of electronic devices has recently led to many problems such as personal information rape and leakage of business information. Conventional loud-speakers have been generally used to output devices. It can be, however, operated as a micro-phone which was abused as a means for eavesdropping since the speaker and microphone have basically the equivalent structure. Most importantly, the general peoples are not aware of the approaching danger about using speaker as microphone. And, traditional eavesdropping detection equipment does not check the attack. In this paper, we demonstrate that there is a serious danger and vulnerability in using loud-speakers since they can be used as eavesdropping devices.

An Analysis of Potential Danger Factors by the Characteristics of Heavy Snow - Focused 11 Cities and Guns in Chungcheongbuk-do - (대설특성을 통한 잠재적 위험도 분석 - 충청북도 11개 시·군을 중심으로 -)

  • Yoon, Sanghoon;Park, Keunoh;Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.11 no.1
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    • pp.23-34
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    • 2015
  • This Study analyzed heavy snow properties according to the area that was based by winter weather properties and the damage data by the heavy snow among each local government of Chungcheongbuk-do. The result of analysis, Jecheon-si and Boeun-gun are represented the highest dangerous regions by potential degree of risk by average amount of snowfall for 35 years. But, the potential degree of risk by maximum amount of snowfall for 35 years is different with it. Cheongju-si and Youngdong-gun, Goesan-gun, Boeun-gun are represented the highest dangerous regions. Examining the frequency of regions with potential danger factors according to the characteristics of heavy snowfall, Boeun-gun and Jecheon-si, Goesan-gun, Youngdong-gun, Cheongju-si is derived the highest dangerous regions in Chungcheongbuk-do.

Standardization of Quality Management and Product Safety Sign in Korea (국내 품질경영 및 공산품 안전표지 표준화 대상 연구)

  • Lee, Ik-Seong
    • Journal of Applied Reliability
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    • v.15 no.3
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    • pp.176-180
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    • 2015
  • A defect on the product safety display is defined by a failure to prevent the damage caused by the inappropriate explanation, direction, and caution to warn the users of the related risks. In other words, it lacks the sufficient instructions or caution for proper use and is unable to furnish the possible danger of the product and the instructions to deal with it. The defect is the responsibility of the manufacturers who are supposed to provide the adequate information so as to prevent injuries of the users. However, in order to prove the product safety display defective, there should be a comprehensive consideration in many different ways such as social norms (such as property and expectation of the product), usage form, indication of the expected risk, and awareness of consumer about the harm and possibility of avoidance of danger. The purpose of this research is to propose the content and types of standardized indication of safety in the industrial product by collecting and analyzing domestic safety information.

Development of Social Map Prototype for Intelligent Crime Prevention based on Geospatial Information

  • Kwon, Hoe-Yun;Song, Ki-Sung;Seok, Sang-Muk;Jang, Hyun-Jin;Hwang, Jung-Rae
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.8
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    • pp.49-55
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    • 2016
  • In this study, we proposed the social map system prototype for intelligent crime prevention. For developing the social map system prototype, functional requirements were derived through the analysis of related cases and preceding studies. Derived requirements are providing a variety of map-based safety information, using crowdsourcing data such as SNS, connecting to intelligent CCTV. To satisfy these requirements, the prototype is developed with four main menus: the integrated search menu including social media data, the safety map menu providing a variety of safety and danger information, the community map menu to collect safety and danger information from users, and the CCTV menu providing the link to intelligent CCTV. The social map for intelligent crime prevention in this study is expected to greatly enhance the safety of local community with the provision of prompt response to risk information, safe route, etc. through actual service and user participation.

Regional Optimization of Forest Fire Danger Index (FFDI) and its Application to 2022 North Korea Wildfires (산불위험지수 지역최적화를 통한 2022년 북한산불 사례분석)

  • Youn, Youjeong;Kim, Seoyeon;Choi, Soyeon;Park, Ganghyun;Kang, Jonggu;Kim, Geunah;Kwon, Chunguen;Seo, Kyungwon;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1847-1859
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    • 2022
  • Wildfires in North Korea can have a directly or indirectly affect South Korea if they go south to the Demilitarized Zone. Therefore, this study calculates the regional optimized Forest Fire Danger Index (FFDI) based on Local Data Assessment and Prediction System (LDAPS) weather data to obtain forest fire risk in North Korea, and applied it to the cases in Goseong-gun and Cheorwon-gun, North Korea in April 2022. As a result, the suitability was confirmed as the FFDI at the time of ignition corresponded to the risk class Extreme and Severe sections, respectively. In addition, a qualitative comparison of the risk map and the soil moisture map before and after the wildfire, the correlation was grasped. A new forest fire risk index that combines drought factors such as soil moisture, Standardized Precipitation Index (SPI), and Normalized Difference Water Index (NDWI) will be needed in the future.