• Journal of Digital Convergence
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• v.16 no.10
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• pp.213-222
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• 2018

This study was conducted to derive the traffic accident risk index through the recognition of the elderly driver's driving pattern to reduce the traffic accident rate of elderly drivers and to reflect them in the renewal and return policy of driver's license accordingly. First, the traffic accident risk index is defined by analyzing the behavioral characteristics of older drivers to derive the major factors that lead to traffic accidents. Second, we present a method to measure the traffic accident risk index from the driving pattern of the elderly through the smart-phone, the camera and the distance sensor attached to the car. Finally, we derive three thresholds by computer simulation and determine the accident risk from the measured traffic accident risk index as four steps and suggest ways to ensure safe driving of older drivers. It is required to objectively assess the driving ability of an aged driver in accordance with the proposed method, and to induce the driver to reset the driver's license renewal cycle and voluntarily return the driver's license to minimize social costs due to increased traffic accidents.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.289-296
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• 2015

This convergence study was conducted to compare difference of risk behaviors and injury incidence between younger(under 65 years) and elderly(over 65 years). For this analysis we used law data of nation-wide community health survey data during August to October 2010. Data of drink-driving, seat belt use, injury incidence rate, type of injury, cause of injury were used for comparison. Seat belt use(85.16% vs 78.81%) was high but drink-driving(12.99% vs 13.24%) was low in elderly. Injury incidence was high especially in falls(1.07% vs 2.22%). In conclusion, elderly do less risk behaviors, but experienced much more injuries especially falls.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.185-192
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• 2022

This study investigates the effect of the semi-supervised learning(SSL) method on predicting default risk of peer-to-peer(P2P) loans. Despite its proven performance, the supervised learning(SL) method requires labeled data, which may require a lot of effort and resources to collect. With the rapid growth of P2P platforms, the number of loans issued annually that have no clear final resolution is continuously increasing leading to abundance in unlabeled data. The research data of P2P loans used in this study were collected on the LendingClub platform. This is why an SSL model is needed to predict the default risk by using not only information from labeled loans(fully paid or defaulted) but also information from unlabeled loans. The results showed that in terms of default risk prediction and despite the use of a small number of labeled data, the SSL method achieved a much better default risk prediction performance than the SL method trained using a much larger set of labeled data.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.41-46
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• 2022

Chinese stock market often rises and falls sharply. The impact of the stock price crash risk has become a hot research field to maintain financial stability. This study starts from the perspective of the proportion of largest shareholders holding shares, and studies whether largest shareholders have more incentive to supervise management and reduce self-interest behavior of management. We use the data of Chinese listed companies from 2009 to 2019 as a sample, and study the relationship between largest shareholders and share price crash risk. Empirical research shows that the higher the proportion of largest shareholders of state-owned enterprise, the company's stock price crash risk can be significantly reduced. This study suggests that the higher the share of the largest shareholder, the lower the opportunistic behavior of managers and that information asymmetry between the company and the shareholders can be alleviated.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.133-140
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• 2009

In the paper, we proposed the systematical and quantitative software risk management methodology based on risk analysis model. A software risk management consists of the basic risk management method(BRIMM) and the detailed risk management method(DRIMM). BRIMM is applied to unimportant phases or the phase which also the risk factor does not heavily influence to project. DRIMM is used from the phase which influences highly in project success or the phase where the risk factor is many. Fulfilling risk management combined two methods, we can reduce project's budget, term and resource's usage, and prevent risk with the optimum measures obtained by the exact risk analysis.

• Information and Communications Magazine
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• v.25 no.1
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• pp.44-51
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• 2008

국가사회기반구조의 중추신경계 역할을 수행하는 정보통신 인프라를 기반으로 개인의 사이버생활 일상화, 디지털경제로의 전환, 전자정부 구축이 가속화되고 있다. 또한 네트워크 통합과 정보통신 서비스의 융합 등을 통한 제2의 디지털 혁명으로 유비쿼터스사회가 도래하고 있다. 그러나 이와 더불어 정보보호 환경은 개별 시스템, 네트워크 보호에서 서비스와 이용자 보호로 그 중심이 급격히 옮겨져 그 범위가 크게 확대되고 있으며, 웜 바이러스와 해킹 기능의 결합으로 복합화(Blended), 악성화된 사이버공격이 증가하고 있다. 또한 그 전파경로가 이메일은 물론 PC의 공유폴더, P2P, 웹 등으로 확대됨으로써 피해범위는 유선단말에서 무선단말과 방송단말 등으로 확장되고 있다. 이처럼 시간과 장소에 상관없이 지식정보를 자유롭게 이용함으로써 편리하고 쾌적한 정보이용 환경을 누리게 하는 유비쿼터스 사회는, 그러나 동시에 예측 불가능한 위험이 곳곳에 산재한 '고도화된 정보위험사회'로의 진입을 의미한다. 이에 따라 새로운 위협이 상존하는 유비쿼터스 환경 하에서 안심하고 신뢰할 수 있는 새로운 정보보호 정책방향의 설정과 대응전략이 필요함은 주지의 사실이라고 할 수 있다. 이에 본고에서는 유비쿼터스 사회에서 나타나는 새로운 도전과 신규위협에 대해 살펴보고, 정보보호 3대 핵심 추진 방향을 비롯한 향후 대응전략과 이를 통한 안전한 미래 사회의 청사진을 제시하도록 한다.

• Annual Conference of KIPS
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• 2013.11a
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• pp.1657-1658
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• 2013

본 연구에서는 기계 시스템의 위험도 진단 및 관리를 위해, 3차원 기반의 진단결과 가시화 기술에 관한 연구를 소개한다. 계층구조와 인과관계에 의한 신뢰성 분석 기술을 3차원 디지털 목업에 적용하여, 요소 부품 및 전체 시스템의 위험도를 직관적으로 파악하고, 이를 유지 보수 과정에 활용할 수 있는 소프트웨어 플랫폼의 설계 및 풍력발전 시스템 적용을 위한 디지털 목업 개발 등을 소개한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.631-633
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• 2023

본 논문에서는 빅데이터의 활용이 확산되는 현대 사회에서 빅데이터의 수집, 관리, 이용 등에서 나타날 수 있는 문제를 확인하고 그 문제에 대한 기존의 대응 방법과 보완점을 시사한다. 빅데이터의 위험성은 개인 정보유출, 디지털 디바이드, 편향성과 신뢰성, 의존성과 통제 가능성 등이 있다. 해당 문제는 빅데이터의 보편화가 가중될수록 큰 규모의 사회적 문제로 대두될 가능성이 높다. 이를 보완하기 위한 대응 방법을 크게 기술적 대응, 법적 대응, 사회적 대응으로 나누어 알아보고 각 부분의 취약점을 분석하여 개선의 방향을 제시한다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.405-406
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• 2023

In the era of AI, intelligent construction safety technologies are being introduced to the construction safety environment, but the application of AI has limitations due to the lack of accident images to learn in complex construction sites. In order to overcome this, we will introduce an intelligent risk detection system that dramatically improves risk detection accuracy by combining AI with digital twin technology, and introduce various cases.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.133-149
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• 2020

The purpose of this study was to investigate the effect of perceived risk on continuous usage intention of Internet primary banks and to verify moderating effects of acceptance factors affecting customers' acceptance of Internet primary banks on the relationship between perceived risk and continuous usage intention. The study aims to find ways to cope with perceived risk and strategic measures of intention in order to increase the intention to continuous usage intention of Internet primary banks. For the analysis, interaction effect were conducted among a total of 457 surveys. As a results, First, perceived risks, acceptance factors and continuous usage intention of the customers of Internet primary banks were significantly correlated. Second, the types of perceived risks which have a significant effect on continued usage intention of Internet primary banks were found to be perceived financial and functional risks. Third, respect to moderating effects of moderator variables, usefulness was found to have a significant moderating effect on the relationship between perceived security risk and continuous usage intention. In addition, ease of use was shown to have a significant moderating effect on the relationship between each type of perceived risks and continuous usage intention. This study attempted to explore and seek strategies to reduce perceived risks and strategic plans for acceptance factors to increase continuous usage intention of Internet primary banks.