• 자동차안전학회지
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• 제14권2호
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• pp.57-69
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• 2022

Recently, as interest in self-driving cars has increased worldwide, research and development on the Advanced Driver Assist System is actively underway. Among them, the purpose of Adaptive Cruise Control (ACC) is to minimize the driver's driving fatigue through the control of the vehicle's longitudinal speed and relative distance. In this study, for the research of the ACC test in the real environment, the real-road test was conducted based on domestic-road test scenario proposed in preceding study, considering ISO 15622 test method. In this case, the distance measurement method using the dual camera was verified by comparing and analyzing the result of using the dual camera and the result of using the measurement equipment. As a result of the comparison, two results could be derived. First, the relative distance after stabilizing the ACC was compared. As a result of the comparison, it was found that the minimum error rate was 0.251% in the first test of scenario 8 and the maximum error rate was 4.202% in the third test of scenario 9. Second, the result of the same time was compared. As a result of the comparison, it was found that the minimum error rate was 0.000% in the second test of scenario 10 and the maximum error rate was 9.945% in the second test of scenario 1. However, the average error rate for all scenarios was within 3%. It was determined that the representative cause of the maximum error occurred in the dual camera installed in the test vehicle. There were problems such as shaking caused by road surface vibration and air resistance during driving, changes in ambient brightness, and the process of focusing the video. Accordingly, it was determined that the result of calculating the distance to the preceding vehicle in the image where the problem occurred was incorrect. In the development stage of ADAS such as ACC, it is judged that only dual cameras can reduce the cost burden according to the above derivation of test results.

• 한국CDE학회논문집
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• 제17권1호
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• pp.17-25
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• 2012

Recently, requests for accurate process planning using simulation have been increasing in many engineering fields including the shipbuilding industry, and many application systems for simulation have been developed. It is difficult, however, for a user to reuse the developed systems, because simulation models in the system are defined by its own method. In addition, the simulation model should be modified whenever a simulation sequence, which is called simulation scenario, is changed. Therefore, in this study, an elementary simulation object is proposed to modularize a simulation model. And the management scheme of simulation scenario is proposed to manage the scenario outside of the simulation models. Also, a simulation template is proposed to increase the development efficiency. To verify the efficiency of the proposed methods, application examples for shipbuilding process planning are implemented.

• 한국군사과학기술학회지
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• 제20권2호
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• pp.279-288
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• 2017

The Material Transportation Capability Analysis Method in North Korea includes adversary's activities such as destruction of bridge which is one kind of choke points in the road network and surprise attack against resupply march unit. Also, the amount of damage on choke points in the road network and repair time depending on repair unit commitment must be reflected. In this study, a scenario encompassing plausible resupply transportation circumstances while counterattacking into NK will be established. Then, based on such scenario, a simulation model will be established and the result of simulation will be compared to the results of numeric example which has been used in the ROK Army. We demonstrate, through a certain Corps operation area, that the Scenario-based Simulation Model results predict the performance of resupply operation very well. Therefore, it makes sustainment planners and commanders do activities which is suitable for battlefield and should be used in the real situation. It is also a stochastic model.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 춘계학술대회 논문집
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• pp.151-156
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• 2005

The objective of this study is to devise an accident scenario analysis method adept at creating accident scenarios at the Preliminary Hazard Analysis(PHA) step of a hazard analysis for railway system. This approach was inspired by the Quality Function Deployment(QFD) method, which is conventionally used in quality management and was used at the systematic accident scenario analysis(SASA) for the design of safer products. In this study, the QFD provides a formal and systematic schema to devise accident scenarios while maintaining objective. The accident scenario analysis method first identifies the hazard factors that cause railway accidents and explains the situation characteristics surrounding the accident. This method includes a feasibility test, a clustering process and a pattering process for a clearer understanding of the accident situation. Since this method enables an accident scenario analysis method to be performed systematically as well as objectively, this method is useful in building better accident prevention strategies. Therefore, this study can serve to reduce railway accident and be an effective tool for a hazard analysis.

• 디지털산업정보학회논문지
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• 제10권3호
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• pp.71-85
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• 2014

This study proposes the future strategy of semiconductor companies corresponding to the growth of cloud computing. Cloud computing is the delivery of IT resources such as hardware and software as a service rather than a product, and it is expected to significantly change the IT market. By employing the scenario planning method, this study develops a total of eight scenario cases, and presents the three possible scenarios including the best market, the worst market, and the neutral market scenario. This study suggests the future strategy of semiconductor companies based on the best market scenario (increasing firms' IT expenditure, increasing the complexity and performance of devices, the frequent replacement of devices). The suggested future strategy of semiconductor includes that the semiconductor companies need to strengthen their price competitiveness, secure the next generation technologies, and develop the better capability for market prediction with the growth of cloud computing. This study will help semiconductor companies set up the strategy direction of technology development, and understand the connections between cloud computing and the memory semiconductor industry. This study has practical implications for semiconductor industry to prepare for the future of cloud computing.

• 자동차안전학회지
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• 제11권1호
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• pp.7-16
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• 2019

There are trying to reduce damage from automobile accident in many countries. In many automobile companies, there have been active study on development of ADAS (Advanced Driver Assistance Systems) for commercialization, in order to reduce damage from automobile accident. ADAS is the system providing convenience and safeness for drivers. Generally, ADAS is composed of ACC (Adaptive Cruise Control), LKAS (Lane Keeping Assist System), and AEB (Autonomous Emergency Braking). AEB of the ADAS, it is an autonomous emergency braking system and it senses potential collide and avoids or degrades it. Therefore AEB plays a significant role in reducing automobile accident rate. However, AEB safety evaluation method is not established not yet. For this reason, this study suggests safety evaluation scenarios with adding cut-in, sensor malfunctioning scenario that scenario domestic street conditions considered as well as original standard AEB scenario of Euro NCAP for establishment of safety evaluation method of AEB. And verifying validity of suggested scenario by comparing the calculated values of the theoretical formulas presented in the previous study with results of the actual vehicle test.

• 토지주택연구
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• 제11권4호
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• pp.15-26
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• 2020

This study analyzes the Domestic Economic Ripple Effect (DERE) of the Donghae-Bukpuseon Railway (DBR). Input-Output Analysis and Scenario Analysis are employed. First, the future demand is approximately 6.86 billion people, 1.4 billion tons of logistics, and future forecast production is 1.2 trillion won for passengers, and 0.15 trillion won for logistics. Second, the production inducement (PI) coefficient of the railway industry is 2.080, the value-added inducement (VAI) coefficient is 0.680, the import inducement (II) coefficient is 0.32 and the employment inducement (EI) coefficient is 6.45. Third, for the DERE, PI is 2.846 trillion won, VAI is 0.939 trillion won, II is 0.446 trillion won, and EI is 8,737 people/1 billion won. Fourth, PI is approximately 2.8 trillion won, and the payback period is 35 years. Scenario 1 (a 50% increase in the demand for tourism) takes approximately 27 years, Scenario 2 (an 100% increase), 20 years, and Scenario3 (an 150% increase), 16 years. The successful way of the DBR is to enlarge the linkage effect of trans-railways for which international cooperation and agreements are needed. Also, even if the DBR is isolated due to worsening inter-Korea relations, the development of tourism resources is important for public investment feasibility.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.273-280
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• 2021

Financial behavior and financial well-being are two closely related aspects of an individual's financial decision making. This study attempts to investigate the extent to which financial behavior influences financial well-being in the Indian scenario. The data is collected using a structured questionnaire from a sample of 150 respondents. The study employs Financial Management Behaviour Scale (FMBS) (Dew & Xiao, 2012) to measure financial behavior. Factor analysis and multiple regression are performed to find the influence of financial behavior on financial well-being. The findings of the study suggest that except for credit commitment all the other behavioral factors like future security, savings and investments, credit indiscipline, and financial consciousness have a significant impact on the financial well-being of an individual in the Indian scenario. The regression coefficients of financial well-being are strongly determined by financial consciousness. The study is a contribution to the existing behavioral studies literature and the model used identifies the factors that influence the financial well-being in the Indian scenario. The study is conducted during the year 2020, so the results could have been influenced by the economic scenario of the period. The results of the study can be used by financial advisors to understand the financial well-being in the Indian scenario.

• 한국콘텐츠학회논문지
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• 제13권9호
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• pp.312-321
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• 2013

본 연구는 우리의 임상상황에 맞는 시뮬레이션 학습시나리오를 개발하고 시뮬레이션 학습에서 문제해결력과 학습 만족도를 평가함으로 적용가능성을 검증하고자 하였다. 본 연구의 학습시나리오는 응급실에 내원한 간경화증환자의 고칼륨혈증 사례를 개발하여 간경화증과 관련하여 합병증과 증상에 대한 다양한 상황을 시행해볼 수 있는 내용으로 구성하였다. 시나리오 개발단계는 시뮬레이션 학습 목표 및 시나리오 상황 설정, 알고리즘 작성, 임상수행평가 체크리스트 작성, 디브리핑 준비 순으로 이루어졌고, 시나리오는 Jeffries가 제시한 시뮬레이션 학습시나리오 진행 개요에 따라 모니터 세팅(행동들), 환자/마네킨(행동들), 예상되는 중재(사건), 단서를 시간에 따라 구성하였다. 시나리오는 '임상수행능력평가' 과목에 등록한 53명의 간호 학생을 4-5명씩 그룹화 하여 2011년에 사용되었다. 시뮬레이션 학습 적용 전 후 간호학생의 문제해결력 점수는 학습 전 평균 4.05점에서 학습 후 평균 4.30점으로 통계적으로 유의하게 향상되었고 (t=-3.97, p<.001), 시뮬레이션 학습 적용 후 학생들의 학습만족도는 5점 척도에 평균 4.09점을 나타냈으며, 학생들을 수업의 주체로 이끌어 낸 점은 시뮬레이션을 활용한 수업이 효과적인 간호교육방법이 될 수 있다고 본다.

• 한국산학기술학회논문지
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• 제21권10호
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• pp.361-371
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• 2020

2020년 일몰제가 시행되면서 장기미집행공원 개발에 대한 우려가 제기되고 있다. 본 연구의 목적은 장기미집행공원이 개발됨에 따라 소실되는 탄소량과 경제적 가치를 평가하여 장기미집행공원 개발에 따른 영향 최소화 방안 도출에 근거를 제공하고자 한다. 본 연구에서는 FSDAF 시공간 영상융합기법과 CASA-NPP 모형을 활용하여 서울시 내 장기미집행공원의 연평균 NPP를 산정하고, 이를 바탕으로 5개의 개발 시나리오에 따라 소실되는 탄소량과 경제적 손실을 평가하였다. 서울시 내 개발제한구역을 제외한 장기미집행공원의 총 NPP 값은 4,892.18 t C로 나타났으며, 개발 시나리오 1에서는 4,892.18 t C, 개발 시나리오 2에서는 2,548.55 t C, 개발 시나리오 3에서는 238.94 t C, 개발 시나리오 4에서는 848.38 t C, 개발되는 시나리오 5에서는 1,596.00 t C의 탄소가 소실될 것으로 나타났으며, 각각 5개의 개발 시나리오에 따른 탄소의 사회적 비용을 계산하면 약 11억 8천만원, 6억 1천만원, 5천 8백만원, 2억 5백만원, 3억 8천 5백만원이며 개발로 인해 해당금액의 경제적 손실이 발생할 것으로 나타났다. 본 연구의 결과는 5개의 개발 시나리오를 바탕으로 장기미집행공원의 탄소 손실량과 경제적 손실을 평가하였다는데 의의가 있으며, 일몰제 이후 개발가능성이 높은 장기미집행공원 내 산림생태기능에 대한 영향 최소화 방안 마련, 개발 대안의 기초자료로 활용되기를 기대한다.