• 전기의세계
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• v.42 no.7
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• pp.30-44
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• 1993

본 논단에서는 스마트 파워 IC의 개념과 주요 구성 핵심기술인 횡형 전력소자들의 기본구조와 특성을 비교하였으며, 공정에 밀접한 관련있는 전기적 격리기술, 그리고 스마트 파워 칩 구현을 위한 CAD체계에 대해 논의하였다. 또한 자동차 하이사이드 스위치와 모터 제어 및 구동용 스마트 파워 IC의 제품을 중심으로 스마트 파워 IC의 응용분야에 대해 간략하게 살펴보았다. 전자기기에 광범위하게 응용되어 시스템의 고급화, 고신뢰도 및 소형경량화에 중요한 반도체 소자를 포함한 전체 전력 반도체 소자 시장 50억불의 20%를 형성하였다. 최근 스마트 파워 IC의 큰 시트 파워 IC는 자동차 1대당 50개에서 140개까지 소요 예상되리라는 보고도 되고 있다. 스마트 파워 IC는 고내압, 대전류, 고속 스위칭 특성을 갖는 전력소자 및 전기적 격리기술 그리고 설계자동화를 위한 스마트 파워 IC의 구성 요소기술들의 지속적인 발전에 힘입어 더욱 고기능화된 제품개발에 의해 민생용 소비재 분야에서 산업분야까지 현재 보다 더 광범위한 응용이 기대된다.

• Journal of Auto-vehicle Safety Association
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• v.12 no.1
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• pp.52-61
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• 2020

In recent years, the increasing interest in health-care requires the industrial products to be well-designed ergonomically. In the commercial vehicle industry, several researchers have demonstrated the driver's posture has great effect on the orthopedic desease such as fatigue, back pain, scoliosis, and so on. However, the existing sensor systems developed for measuring the driver posture in real time have suffered from inaccuracy and low reliability issues. Here, we suggest our smart vehicle seat system capable of real-time driver posture monitoring by using the air bag sensor package with high sensitivity and reliability. The ergonomic numerical model which can evaluate a driver's posture has been developed on the basis of the human body segmentation method followed by simulation-based validation. Our experimental analysis of obtained pressure distribution of a vehicle seat under the different driver's postures revealed our smart vehicle system successfully achieved the driver's real-time posture data in great agreement with our numerical model.

• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.33-40
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• 2020

As the number of automobile registrations increases and luxury expectations grow, consumers are increasingly interested in indoor environment of vehicles. Therefore, manufacturers have an increasing interest in improving the indoor comfort as well as automobile performance. Research on indoor automobile comfort can help manufacturers increase driver satisfaction and reduce driver stress and discomfort, thereby reducing the risk of traffic accidents. Using electroencephalogram (EEG) measurements, we investigated the change in comfort and comfortable temperature according to the ventilating seat temperature change for both men and women. Results showed that the sensation of comfort was statistically significantly higher at 25℃ than at 28℃. Secondly, there was no statistically significant difference in temperature-based comfort feeling between male and female subjects. In the future, if the correlation between the driver's comfort feeling and the change in ventilating seat temperature is analyzed, it is possible to reduce traffic accidents caused by human error and reduce the electric energy consumption of the automobile.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.36-42
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• 2021

With recent developments in the Fourth Industrial Revolution, the manufacturing industry has changed rapidly. Through key aspects of Fourth Industrial Revolution super-connections and super-intelligence, machine learning will be able to make fault predictions during the foam-making process. Polyol and isocyanate are components in polyurethane foam. There has been a lot of research that could affect the characteristics of the products, depending on the specific mixture ratio and temperature. Based on these characteristics, this study collects data from each factor during the foam-making process and applies them to machine learning in order to predict faults. The algorithms used in machine learning are the decision tree, kNN, and an ensemble algorithm, and these algorithms learn from 5,147 cases. Based on 1,000 pieces of data for validation, the learning results show up to 98.5% accuracy using the ensemble algorithm. Therefore, the results confirm the faults of currently produced parts by collecting real-time data from each factor during the foam-making process. Furthermore, control of each of the factors may improve the fault rate.