• The Transactions of the Korean Institute of Electrical Engineers P
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• v.58 no.4
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• pp.597-601
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• 2009

Green car such as a hybrid electrical vehicle and fuel cell vehicle is developed as a commercial target. UN/ECE/WP29 is developing GTR of HFCV and establishing the regulation and standard of electrical safety by ELSA. The regulation and standard about Electrical safety of vehicle are prescribed in ISO, UN/ECE, FMVSS, Japanese Attachment and so on, in case of insulation resistance is referred to keep more than 100/Vdc, 500/Vac. However, accurate method to measure insulation resistance agreeable to structure of vehicle does not exist now, it is actually that correctness of measurement drops according to the feature of battery and fuel cell stack. In this paper, the method to measure insulation resistance for protection against electrical shock by direct contact or indirect contact in Green Car will be indicated by making a comparison between the insulation measurement in standard of electrical safety and the experiment results for HEV and HFCV.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.3
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• pp.162-165
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• 2012

In this paper, the method of controlling velocity between joining vehicles at the point of bottleneck using information and communications technology of WAVE method based V2V and V2I are proposed for the driving with high fuel efficiency. Using the derived fuel-efficiency comparative analysis model, it was shown that the proposed method's fuel efficiency is better than traffic light method demanding periodically vehicle's stop. Also, this method provides the derivation algorithm for deceleration and acceleration for controlling velocity between vehicles approaching bottleneck area.

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.3
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• pp.319-329
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• 2016

Globally, many researchers have been trying to improve the fuel economy of a vehicle for satisfying future $CO_2$ regulation and minimizing air pollution problem. For the same background, diesel engine and vehicle system optimization using simulation models have been key technologies for the improvement of vehicle system efficiency. Therefore, in this study, calibration method for the air breathing system of a WGT diesel engine using mean value model has been composed for efficient engine and vehicle optimization simulation researches. And virtual WGT performances have been calculated for a 2 cylinder downsized diesel engine system. From these researches, the calibration method for the boost pressure and EGR rate of a virtual diesel engine related with WGT performances could be composed and some of technical issue related with downsized diesel engine could be investigated.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.1115-1117
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• 2010

안전운전 지원 시스템 개발을 위해서 고려되어야 할 요소는 차량정보, 운전자정보, 외부 환경정보가 있다. 기존의 안전운전 지원 시스템 개발은 주로 차량의 종방향 제어, 횡방향 제어, 조향각 제어 등 차량으로부터 직접 추출한 주행정보를 이용하여 운전자의 안전유무를 평가하였다. 그러나 최근의 조사결과에 따르면 교통사고의 90%이상이 운전자 실수에 의해서 발생한다는 것을 알 수 있다. 이와 관련하여 차량의 주행 정보뿐만 아니라 실제 운전자가 주행 중에 행하게 되는 행동정보기반의 안전운전지원시스템 개발이 활발히 연구되어 지고 있다. 본 논문에서는 운전자의 행동정보를 이용한 안전운전 평가시스템의 설계 개념과 안전운전 평가시스템의 핵심 요소인 표준모델 구축 방법에 대해서 논의하고자 한다.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.93-98
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• 2022

This research emphasized that the importance of green marketing activities elements such as green product, green price, green place, and green promotion. Moreover, it focused on verifying the effects of these four elements on purchase intention through environmental involvement. To verify this, an empirical analysis was conducted on Chinese consumers who have experienced or are considering purchasing a new energy vehicle. The research results are as follows. First, all four elements of green marketing activities improve environmental involvement. Second, environmental involvement was found to increase the level of purchase intention. Third, environmental involvement has a partial mediating effects in the relationship between the four elements of green marketing activities and purchase intention. Finally, the limitations of this study and future research directions were discussed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.105-111
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• 2003

This paper is researching the storing of 40 different kinds of conditions. Such as, car speed, delay in starting time and the volume of cars in traffic. Through the use of a central nervous networking system or AI, using 10 different intersecting roads. We will improve the green traffic light. And allow more cars to easily flow through the intersections. Now days, with increasing many vehicles on restricted roads, the conventional traffic light creates prove startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle. And so, 30-45% of conventional traffic cycle is not matched to the present traffic cycle. In this paper proposes electro sensitive traffic light using fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering passing vehicle length for optimal traffic cycle is better than fixed signal method which dosen't consider vehicle length.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.292-297
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• 2000

This paper proposes a new concept of coordinating green time which controls 10 traffic intersection systems. For instance, if we have a baseball game at 8 pm today, traffic volume toward the baseball game at 8 pm today, traffic volume toward the baseball game will be increased 1 hour or 1 hour and 30 minutes before the baseball game. At that time we can not predict optimal green time Even though there have smart elctro-sensitive traffic light system. Therefore, in this paper to improve average vehicle speed and reduce average vehicle waiting time, we created optimal green time using fuzzy rules and neural network. Computer simulation results proved reducing average vehicle waiting time which proposed coordinating green time better than electro-sensitive traffic light system dosen't consider coordinating green time.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.576-578
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• 2010

운전자 정보제공 HVI(Human-Vehicle Interface) 시스템은 운전자에게 보다 향상된 인터페이스를 제공하기 위한 시스템이다. 요즘에는 다양한 정보기기가 등장하면서 운전 중에 다양한 정보를 습득할 수 있고 유용한 정보로 활용할 수 있다. 반면 이러한 기기들이 통합되지 않음으로 인해 조작에 불편을 주고 때로는 유용한 정보가 운전에 방해를 주는 요인이 된다. 따라서 본 연구에서는 운전자에게 정보제공을 위한 HVI 통합 시스템을 설계하여 다양한 정보기기를 통해 수집되는 정보를 운전자에게 효과적으로 제공하고 운전 중에 운전자의 동작을 최소화기 위한 시스템을 설계한다.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.269-283
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• 2021

The government policies and initiatives to guarantee sustainable energy and clean environmental conditions contributed to the introduction of green technology electricity appliances in the market. This study sought to determine the physiological and socio-economics-demographic factors driving residential electricity consumers to use green technology electricity appliances, mainly solar PV, smart meter, electric vehicle, and battery storage technology. By understanding consumer intention, the investors of solar PV, battery storage, electric vehicle, and smart meter can estimate the demand and upscale the market for the corresponding products. For that purpose, the intention to use the solar PV, smart meter, electric vehicle, and battery storage function is developed by utilizing the combination of the theory of planned behavior, technology acceptance, and reasoning action. A reliable and valid structured online questionnaire and stepwise multiple regression are used to identify the possible factors that drive consumer behavior intention. The results show that the social influence, knowledge on RE, and perceived price significantly influence residential consumers' willingness to adopt the technologies offered. The findings of this study suggest that the involvement of NGOs, public figures, and citizens' cooperation are all necessary to spread information about the government's objectives and support Malaysia's present energy and environmental policies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.1987-1996
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• 2009

Recently, the color of vehicle license plate has been changed from green to white. Thus the vehicle plate recognition system used for parking management systems, speed and signal violation detection systems should be robust to the both colors. This paper presents a vehicle license plate recognition system, which works on both of green and white plate at the same time. In the proposed system, the image of license plate is taken from a captured vehicle image by using morphological information. In the next, each character region in the license plate image is extracted based on the vertical and horizontal projection of plate image and the relative position of individual characters. Finally, for the recognition process of extracted characters, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis) are sequentially utilized. In the experiment, vehicle license plates of both green background and white background captured under irregular illumination conditions have been tested, and the relatively high extraction and recognition rates are observed.