• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.123-126
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• 2022

본 논문에서는 철도 교량 운행 상황을 가정하는 모형 철도를 사용하여 실제 철도 교량에서 발생할 수 있는 소음, 진동등 위험 요소로 분류될 수 있는 데이터들을 수집하고 수집된 데이터들을 활용하여 실시간으로 위험 요소로부터 발생할 수 있는 위험 상황들을 분류하고 적절한 조치들을 상황에 맞게 취할 수 있도록 한다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.631-632
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• 2024

본 연구는 웨어러블 기기를 이용하여 위험 상황을 감지하고 사고 예방에 기여할 방법을 탐색한다. 데이터의 시간 영역과 주파수 영역의 분석을 통해 위험한 상황과 일반적인 상황을 구분하는 성능을 비교한다. 비딥러닝 모델과 딥러닝 모델을 비교 평가하였다. 결과적으로 시간 영역보다 주파수 영역에서 컨볼루션 신경망 모델이 우수한 성능을 나타내었다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.111-118
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• 2022

In recent years, the number of single-person elderly households has increased, but when an emergency situation occurs inside the house in the case of single-person households, it is difficult to inform the outside world. Various smart home solutions have been proposed to detect emergency situations in single-person households, but it is difficult to use video media such as home CCTV, which has problems in the privacy area. Furthermore, if only a single sensor is used to analyze the abnormal situation of the elderly in the house, accurate situational analysis is limited due to the constraint of data amount. In this paper, therefore, we propose an algorithm of abnormal situation detection fusion inside the house by fusing 2DLiDAR, dust, and voice sensors, which are closely related to everyday life while protecting privacy, based on their correlations. Moreover, this paper proves the algorithm's reliability through data collected in a real-world environment. Adnormal situations that are detectable and undetectable by the proposed algorithm are presented. This study focuses on the detection of adnormal situations in the house and will be helpful in the lives of single-household users.

• Journal of Navigation and Port Research
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• v.42 no.1
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• pp.25-30
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• 2018

This study was carried out to analyze the risk attitude based on situation awareness of the Vessel Traffic Service Operator (VTSO) on the risk of collision between vessels during the monitoring of vessel traffic through the use of the VTS system. In general, when two vessels are in the close quarters situation, we analyzed the degree of risk of collision from the subjective viewpoint of the VTSOs through an administered survey. Chiefly, we analyzed the risk attitudes of each VTSO in the close quarters situation, by comparing it with the calculated value by the CoRi, which is the ship collision risk model from the VTSO's viewpoint. As a result, it was confirmed that more than 40% of the total VTSO was noted as being in a weak risk aversion type of category. Through a review of the results of analyzing the risk attitude of VTSO according to gender, age, VTS career, VTS center position, accident experience, and boarded career, it was found that there was a significant difference in the VTS career, VTS center position and accident experience. In addition, a regression model that is able to further explain the risk attitude of VTSO was derived as a factor that confirmed the significant difference and applied to CoRi to predict the collision risk according to the individual VTSO to be used as a fundamental information gathering tool for providing more accurate and safe VTS service at sea.

• Annual Conference of KIPS
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• 2022.11a
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• pp.968-970
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• 2022

일반적으로 가정 내에서 발생하는 안전 사고의 비율은 비장애인에 비해 청각장애인이 높다. 이는 외부인에게 도움을 받을 수 없는 상황에서 청각장애인 스스로 위험상황에 대한 소리를 인지하지 못하기 때문이다[1]. 본 연구에서는 이러한 문제를 해결하기 위해 시각적 효과 또는 진동 신호를 통해 청각장애인들에게 사고 상황 인지를 돕는 시스템을 제안한다. 현재 상용 제품의 경우는 청각장애인이 스마트기기를 소지하고 있을 때만 알림을 인지할 수 있기 때문에 긴급 상황에서 효과가 떨어질 수 있다. 따라서 제안 시스템에서는 어플리케이션 알림과 함께 건물내 전등 색상에 변화를 주는 서비스를 개발하여 스마트 기기를 소지하지 않는 상황에서도 위험상황에 대한 즉각적인 인지를 통해 위험에 대처할 수 있도록 한다. 소리를 시각화하는 것이 본 연구의 핵심 방법론이며 이를 위해 Convolutional Neural Network 모델과 라즈베리파이를 활용하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.293-296
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• 2022

본 논문에서는 실제 주행하는 철도가 지나가는 터널에서 유발되는 안전사고 및 주변에 거주하는 주민들과, 서식하는 야생동물들에게 피해를 입힐 수 있는 소음과 진동을 감지하고, 철도가 터널을 운행하는 상황을 구현하여, 너털에서의 위험 요소들에 대한 상황 데이이터들을 센서를 통해 데이터 수집을 진행하고 다양한 위험 상황으로부터 실시간 감지를 통해 데이터들을 분석하고 적절한 상황 지원을 위한 실시간 인지시스템 모델을 설계하고 지원한다.

• 재활복지
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• v.22 no.3
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• pp.225-257
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• 2018

The purpose of this study is to find the application point of hearing augmentation technology development through examining the risk context experience of people with hearing impairment and the use of assistive device used as an alternative technology. Data of 355 people with hearing impairment with official disability grading was analyzed. The results of this study are first, research participants had no experience of recognizing any sound or vibration in situations highest in the order of means of transportation, material, and nature. Especially the ratio of being unable to recognize the sound and vibration of means of transportation was high, which implies the high possibility of people with hearing impairment experiencing risk. Secondly, the risk context that people with hearing impairment will most likely to experience are highest in the order of traffic accident, pedestrian accident, and daily life at home. Thirdly, the recognition of 2G phone/smart phone, vibrating digital alarm clock, light bar, vibrating wrist watch as assistive device for risk context awareness and notification was high and the satisfaction level of 2G phone/smart phone was the highest. Fourthly, the research participants had high recognition of assistive device for communication in the order of hearing aid, smart phone, videophone, cochlear implant and 2G phone and it was found that the satisfaction level and communication improvement level was the highest using the smart phone. Lastly, for the development of hearing augmentation technology the research participants recognized the importance of portable/wear convenience, price, and motion accuracy and for notification delivery means they preferred the method of using sight(text and light). Based on the results of this study policy and practical plans for hearing augmentation technology development for people with hearing impairment in risk context are proposed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.2
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• pp.53-61
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• 2013

This study investigated the tax compliance applying framing effect, with the influence of detection rates, client advocacy, risk seeking tendency on the amount of income declared. Questionaires were filled in by CFA in Busan. Questionaires involve three cases (newly founded company, loss-expected company, gain-expected company). Respondents declared least in newly founded company, next loss-expected company, to gain-expected company. Respondents declared more as detection rates rose. As client advocacy increases, newly founded company and loss-expected company declare less, while gain-expected company declare more. As risk seeking tendency increases, newly founded company and loss-expected company declare less, but gain-expected company. Finally the interaction effect between client advocacy and risk seeking tendency is supported.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.239-251
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• 2022

This study tried to understand the structural relationship between public crisis communication, emotional influence, and behavioral intention in a national crisis/risk situation. Based on the results of previous studies and empirical studies, the results of crisis/threat type, crisis/threat response, sentiment (crisis/risk responsibility, strategic risk/risk reflective response), and action intention For tourists who visit tourist destinations, as well as the relationship between crisis and risk communication at the tourist destination and one of the unique emotions of Koreans (crisis threat responsibility, strategic response, and reflective response to crisis threat) The relationship between the outcome variable, behavioral intention, was identified. A theoretical study was conducted on each research concept to achieve the proposed research purpose. Based on this, a questionnaire was drawn up and empirical research was conducted in parallel. Three hypotheses were established, and meaningful results were confirmed according to the results of the hypotheses. When a risky situation occurs, the government, business, and local community will actively respond and respond to it as an opportunity to offset the risk of crisis.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.73-75
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• 2022

본 논문에서는 자율운항선박의 예측 가능한 운항 경로 상에 잠재된 비상상황을 인식하기 위하여 운항 해역의 항적 정보를 활용한 방안과 이를 기반으로 충돌 위험과 같은 비상위험을 식별하는 프레임워크를 설계하였다. 설계한 프레임워크는 크게 항적 특성 분석 모듈, 항로예측 모듈, 위험 식별 모듈로 구성된다. 항적 특성 분석 모듈에서는 자율운항선박의 운항 해역에 관한 선박들의 항적 정보를 활용하기 위하여, 대상 VTS 관제 영역 내에서 취합된 누적 선박자동식별장치(AIS) 데이터를 이용하여 선박의 항적 특성을 분석하여 데이터베이스(DB)를 생성하였다. 그리고 운항 경로 예측 모듈에서는 누적된 항적 정보와 자율운항선박의 현재 운항 정보를 기반으로 특정 시간 동안의 운항 경로를 예측하기 위한 학습 네트워크 모델을 구성하였다. 마지막으로, 위험 식별 모듈에서는 예측한 운항 경로 상에 최근접점과 최근접점 거리 정보를 이용하여 충돌 위험 가능성이 있는 충돌위험영역을 식별하였다. 설계한 프레임워크는 자율운항선박의 육상 관제소에서 원격 제어를 통해 위험상황을 인지하고 회피할 수 있는 정보를 제공할 수 있음을 실제 항적 데이터를 활용하여 그 결과를 검증하였다.