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      • 자율주행 자동차 산업의 미래 시나리오 예측 연구

        주백수,김지은,Joo, Baegsu,Kim, Jieun 기술경영경제학회 2022 기술혁신연구 Vol.30 No.2

        최근 급격한 변화를 겪고 있는 자율주행 자동차 분야의 미래 기술 및 시장 전망 예측에 대한 요구와 관심이 집중되고 있다. 자동차 산업의 특성상, 복합적 요인의 상관관계가 미치는 영향력이 크고 요인 간의 복잡도가 높으므로, 체계적인 미래 예측 방법론 적용을 통한 미래 전망분석 및 전략 수립이 시급하다. 본 연구에서는 자동차 분야에 적합한 미래 예측 방법론 중 필드 변칙 완화기법(Field Anomaly Relaxation)과 다중관점 개념 기법(Multiple Perspective Concept)을 복합적으로 적용하여, 자율주행 자동차 분야의 핵심기술 및 산업 동향에 관한 미래 시나리오들을 개발하여 실증하였다. 도출된 3개의 시나리오는 전문가 평가 체크리스트를 통하여 타당성을 검증하였다. 본 연구 결과는 자율주행 자동차 산업과 같은 다양한 변동성이 존재하는 분야의 미래 예측 방법 중 한 가지로 적용될 수 있다는 점에 의의가 있다. In recent years, the autonomous vehicle industry has changed drastically. So the needs and interests in predicting future technologies and market prospects of the autonomous vehicle field have been very increased. However, considering the characteristics of the automotive industry, which has various factors, complex correlation of them and big influence on each other, the study of systematic future forecasting methodologies are urgent and necessary which are applicable to autonomous vehicle industry. In this research, the two methods such as "Field Anomaly Relaxation" and "Multiple Perspective Concept" were analyzed and chosen, which are suitable to automotive industry. By the combination of two methods this research developed and examined the three future scenarios related to core technologies and industry trends. And these scenarios feasibility was verified by experts and evaluation checklist. This research has a contribution that this future scenario forecasting approach can be applied to the industries which have various volatility like the autonomous vehicle industry.

      • KCI등재SCOPUS

        자동차 부품사의 지식재산 수준과 성과에 관한 연구

        류창한(Changhan Ryu),주백수(Baegsu Joo),서민석(Minsuk Suh) 한국자동차공학회 2018 한국 자동차공학회논문집 Vol.26 No.1

        In a modern, internationally competitive environment, securing and protecting core technology through intellectual property rights has been the core element of individual and national competitiveness in a knowledge-based society. Time would come when national competitiveness would depend on creation, accumulation, sharing, and utilization of knowledge, and intangible values have become the standards in evaluating business values. Patent information includes different types of information, such as applicant, inventor, applicant country, technology category, and precedent patent information, which is widely used in conducting research to predict future scenarios. In this study, an implication has been drawn by using patent indicators that target 20 global auto parts companies based on sales through quantitative and qualitative analyses.

      • KCI등재SCOPUS

        반도체 수준의 FMEDA 수행 방안

        박병규(Byoungkyu Park),주백수(Baegsu Joo),이승환(Seunghwan Lee) 한국자동차공학회 2021 한국 자동차공학회논문집 Vol.29 No.2

        Quantitative evaluation of random failure for semiconductor elements is essential in the development of automotive semiconductors that comply with the ASIL B or higher functional safety ISO 26262 standard. The most preferred method for performing these quantitative assessments is the FMEDA analysis technique. FMEDA, along with the introduction of ISO 26262, is a quantitative safety analysis that has been used in the overall automotive industry for many years. However, the domestic semiconductor industry has little practical experience with FMEDA, perhaps because it is in the early process of introducing the functional safety ISO 26262. Moreover, since there are few FMEDA-related data suitable for the semiconductor level, it is difficult to understand and apply to semiconductor analysis. The aim of this paper is to gain a better understanding of the quantitative safety analysis at the semiconductor level by presenting a method of performing the FMEDA at the semiconductor level from a practical point of view.

      • KCI등재SCOPUS

        엑셀 페달 센서의 하드웨어 엘리먼트 평가 수행을 위한 SEooC 적용 사례 연구

        박병규(Byoungkyu Park),주백수(Baegsu Joo),정규원(Kyuwon Jung),박재석(Jeasuok Park) 한국자동차공학회 2021 한국 자동차공학회논문집 Vol.29 No.7

        To perform a hardware element evaluation, hardware safety requirements in relation to the hardware element were identified. Nevertheless, in the automotive industry, performing hardware element evaluations without these hardware safety requirements can sometimes occur. To solve this problem, this paper proposed the SEooC technique, which is applied to the evaluation of the hardware element. To illustrate the proposed method, this paper introduced an example of a hardware element evaluation for the Accel Pedal Sensor by applying SEooC.

      • KCI등재SCOPUS

        ISO26262 표준을 준수하는 차량용 전장 품 개발을 위한 의존 고장 분석의 적용

        박병규(Byoungkyu Park),주백수(Baegsu Joo),이승환(Seunghwan Lee) 한국자동차공학회 2021 한국 자동차공학회논문집 Vol.29 No.10

        During the development of the E/E system for vehicles complying with the Functional Safety ISO 26262 standard, if interference between the elements that make up the E/E system is likely to violate the safety goals or possibly violate the mutual coexistence between the components of different quality levels, measures are required to exclude or mitigate them. The first order for these measures is to perform a dependent failure analysis. Dependent failure analysis verifies that freedom and independence are ensured from interference required by the elements by analyzing the dependency relationship between the elements constituting the E/E system. In addition, it is used to secure safety measures in order to mitigate the possible dependent failures. In this paper, we present cases of dependent failure analysis in the automotive industry and propose a document format for dependent failure analysis that can be applied in practice.

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