• Title/Summary/Keyword: Risk information

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User Requirement Analysis on Risk Management of Architectural Heritage in Virtual Reality

  • Lee, Jongwook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.9
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    • pp.69-75
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    • 2019
  • We propose a method to analyze user requirements to design a virtual reality-based risk management system. This paper presents surveys, interviews, prototype evaluation methods, and implementation process. Architectural heritage is easily exposed to natural and artificial dangers caused by various material combinations and structural features. So, risk management of cultural heritage plays a key role in preserving and managing cultural heritage. However, risk management has been carried out through empirical methods using distributed data. This study analyzes user requirements for designing functions and interfaces of VR-based risk management system and evaluates prototypes to overcome the above problems. As a result, most heritage managers wanted a system function to support risk analysis and response. They also found that they prefer 2D information such as existing drawings and photos rather than 3D information. The results of the user requirements analysis derived from this study will be used to create risk management applications.

An empirical study of customs business risk recognition and insurance accident occurrence (관세업무리스크 인식과 보험사고 발생에 관한 실증연구)

  • Jung, Sung-Hun;Kim, Tae-In
    • International Commerce and Information Review
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    • v.9 no.3
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    • pp.205-229
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    • 2007
  • This study analyzed relation with risk recognition degree by customs business of customs brokers and actuality insurance accident occurrence. These study finding that risk recognition by customs work area of customs brokers and actuality insurance accident occur did not agree. So customs brokers more elevate risk recognition of entry field, origin/trademark right, HS and customs tariff application, customs refund, price estimation that are high the insurance accident rate. and they may have to do emphasis administration through employee education and ability elevation. Specially, operation risk that is produced from charge employee's simplicity mistake who tax invoice omission, a tax use mistake, document nondelivery, notice dispatch delayed action, may have to manage through moral management and employee bylaws and education, employee guidance etc. Also, they publicize these contents to import and export enterprise, and practice risk management of high risk business in priority through education and public information. so we will have to make can do more effective risk management.

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Derivation of risk factors according to accident cases related to subway structures

  • Park, Hyun Chul;Park, Young Gon;Pyeon, Mu Wook;Kim, hyun ki;Yoon, Hee Taek
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.5
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    • pp.329-341
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    • 2021
  • This study derives the risk-Influence factors for subway structures, the basis for the transition from the current subway disaster recovery-oriented maintenance system to a preemptive disaster management system, to reduce risk factors for existing subway structures. To apply reasonable risk assessment techniques, risk influence factors for subway underground structures using statistical information(spatial information) and risk influence factors according to frequency of accidents were selected to derive the risk factors. The significant risk factors were verified through ground subsidence (SI: Subsidence Impact)-based correlation analysis. This process confirmed that the subsidence of the ground was a risk influence factor for the subway structure. The main result of this study is that derive the risk factors to improve the risk factors of subway structures due to the rapid increase in disaster risk factors. The derived risk factors that were expected to affect the depression around subway stations and track structures did not show a noticeable correlation, but the cause of this may be that there is no physical connection between them, but on the other hand, the accumulated data may not accurately record the surrounding depression. Accordingly, in order to evaluate the risk of depression around the station and track, more intensive observation and data accumulation around the structure are required.

A study of real-time information transmission to the risk decision (위험 판단에 대한 실시간 정보전송 연구)

  • Park, Sangjoon;Lee, Jongchan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.173-174
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    • 2019
  • In this paper, we study the transmission of real-time information to the recognition of risk situation. Through analyzing the scenario of risk situation to the mobile object, immediate information providing should be transmitted to the management system if a risk occurs.

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A Probability Modeling of the Crime Occurrence and Risk Probability Map Generation based on the Urban Spatial Information (도시공간정보 기반의 범죄발생 확률 모형 및 위험도 확률지도 생성)

  • Kim, Dong-Hyun;Park, Koo-Rack
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.207-215
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    • 2009
  • Recently, the research of the analysis of the crime spatial is increased by using the computer information technology and GIS (Geometric Information System) in order to prevent the urban crime so as to increase the urbanization rate. In this paper, a probability map formed by the raster is organized by the quantification of crime risk per the cell using the region property of the urban spatial information in the static environment. Also, a map of the risk probability is constructed based on the relative risk by the region property, the relative risk by the facility, the relative risk by the woody plant and the river, and so on. And, this integrated risk probability map is calculated by averaging the individual cell risk applied to the climatic influence and the seasonal factor. And, a probability map of the overall risk is generated by the interpretation key of the crime occurrence relative risk index, and so, this information is applied to the probability map quantifying the occurrence crime pattern. And so, in this paper, a methodology of the modeling and the simulation that this crime risk probability map is modified according to the passage of time are proposed.

A Study on Analysing Framework of Information Security Management Systems for Managing Business Risk (비즈니스 위험관리를 위한 정보보호제도 분석 프레임웍에 관한 연구)

  • Kim, Min-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.2
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    • pp.703-708
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    • 2010
  • Various information sources and the increasing vulnerabilities of information systems could increase the risks of a business. The successful management of business risks depends on appropriate level of risks in business. Business risk management would be conducted in terms of financial risk management and information security management. The financial management and the information security management could not achieve an integrated business risk management. For developing the integrated business risk management, this study analyzes the various information security management systems such as ISMS, EA, ISO27001, COBIT, SPICE, Auditing. This study analyzes information security systems, which could be utilized in developing business risk management.

AI-based system for automatically detecting food risk information from news data (뉴스 데이터로부터 식품위해정보 자동 추출을 위한 인공지능 기술)

  • Baek, Yujin;Lee, Jihyeon;Kim, Nam Hee;Lee, Hunjoo;Choo, Jaegul
    • Food Science and Industry
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    • v.54 no.3
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    • pp.160-170
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    • 2021
  • A recent advance in communication technologies accelerates the spread of food safety issues once presented by the news media. To respond to those safety issues and take steps in a timely manner, automatically detecting related information from the news data matters. This work presents an AI-based system that detects risk information within a food-related news article. Experts in food safety areas participated in labeling risk information from the food-related news articles; we acquired 43,527 articles in which food names and risk information are marked as labels. Based on the news document, our system automatically detects food names and risk information by analyzing similarities between words within a text by leveraging learned word embedding vectors. Our AI-based system shows higher detection accuracy scores over a non-AI rule-based system: achieving an absolute gain of +32.94% in F1 for the food name category and +41.53% for the risk information category.

Development of a Targeted Recommendation Model for Earthquake Risk Prevention in the Whole Disaster Chain

  • Su, Xiaohui;Ming, Keyu;Zhang, Xiaodong;Liu, Junming;Lei, Da
    • Journal of Information Processing Systems
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    • v.17 no.1
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    • pp.14-27
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    • 2021
  • Strong earthquakes have caused substantial losses in recent years, and earthquake risk prevention has aroused a significant amount of attention. Earthquake risk prevention products can help improve the self and mutual-rescue abilities of people, and can create convenient conditions for earthquake relief and reconstruction work. At present, it is difficult for earthquake risk prevention information systems to meet the information requirements of multiple scenarios, as they are highly specialized. Aiming at mitigating this shortcoming, this study investigates and analyzes four user roles (government users, public users, social force users, insurance market users), and summarizes their requirements for earthquake risk prevention products in the whole disaster chain, which comprises three scenarios (pre-quake preparedness, in-quake warning, and post-quake relief). A targeted recommendation rule base is then constructed based on the case analysis method. Considering the user's location, the earthquake magnitude, and the time that has passed since the earthquake occurred, a targeted recommendation model is built. Finally, an Android APP is implemented to realize the developed model. The APP can recommend multi-form earthquake risk prevention products to users according to their requirements under the three scenarios. Taking the 2019 Lushan earthquake as an example, the APP exhibits that the model can transfer real-time information to everyone to reduce the damage caused by an earthquake.

Development of Strategics for Establishment of Spatial Information by Assessment of GIS-Based Flood Risk (GIS기반 홍수위험도 평가를 통한 공간정보 구축 방안 개발)

  • Sim, Gyoo Seong;Lee, Choon Ho;Lee, Tae Geun;Jee, Gye Hwan
    • Spatial Information Research
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    • v.23 no.2
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    • pp.39-48
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    • 2015
  • In this study, we evaluated flood risk by applying calculation fomula considering practical risk calculated by inundation analysis information through 2D inundation analysis, suggested a plan that provides a standardized information system. Generally, we evaluated flood risk to people and classified four degrees by using inundation depth, velocity, Debris Factor and Flood Hazard Rating relationship because current flood risk assessment method based inundation depth and area was considered to not fully reflect the actual risk to people on flood. We simulated overflow and levee break scenarios according to 500 year and 200 year floods, respectively, by using Flumen which is a 2D flood inundation model for Geumho river basin in Daegu. The result of this study could contribute to inform practical risk information to people in expected flood area. This study can be useful for the fields of disaster estimatingsuch as information analysis, evaluation, planning by offering Risk information based on standardized information system.

Agent Based Information Security Framework for Hybrid Cloud Computing

  • Tariq, Muhammad Imran
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.406-434
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    • 2019
  • In general, an information security approach estimates the risk, where the risk is to occur due to an unusual event, and the associated consequences for cloud organization. Information Security and Risk Management (ISRA) practices vary among cloud organizations and disciplines. There are several approaches to compare existing risk management methods for cloud organizations but their scope is limited considering stereo type criteria, rather than developing an agent based task that considers all aspects of the associated risk. It is the lack of considering all existing renowned risk management frameworks, their proper comparison, and agent techniques that motivates this research. This paper proposes Agent Based Information Security Framework for Hybrid Cloud Computing as an all-inclusive method including cloud related methods to review and compare existing different renowned methods for cloud computing risk issues and by adding new tasks from surveyed methods. The concepts of software agent and intelligent agent have been introduced that fetch/collect accurate information used in framework and to develop a decision system that facilitates the organization to take decision against threat agent on the basis of information provided by the security agents. The scope of this research primarily considers risk assessment methods that focus on assets, potential threats, vulnerabilities and their associated measures to calculate consequences. After in-depth comparison of renowned ISRA methods with ABISF, we have found that ISO/IEC 27005:2011 is the most appropriate approach among existing ISRA methods. The proposed framework was implemented using fuzzy inference system based upon fuzzy set theory, and MATLAB(R) fuzzy logic rules were used to test the framework. The fuzzy results confirm that proposed framework could be used for information security in cloud computing environment.