• Journal of Auto-vehicle Safety Association
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• v.12 no.1
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• pp.33-38
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• 2020

Since a diesel vehicle scandal related to the 'A' automobile company was issued in the United States in 2015, many countries have been interested in emission defeat devices. Being embedded in some diesel passenger cars sold in Korea, a defeat device for exhaust gas may have influence on both fuel economy and NOx emissions. In order to examine such effects, we carried out laboratory indoor tests as well as real road driving tests using four models of 'A' automobile company which may employ defeat devices. Those tests were performed observing the test modes of FTP-75, HWFET, and NEDC. Although fuel economy and NOx emissions according to indoor tests comply with the suggested tolerance, the findings in the real road driving tests do not satisfy the tolerance. Along with the results provided in this study, further evaluation may be necessary to investigate the noticeable difference between the indoor and real road tests.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.96.1-96.1
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• 2010

전기차량용 차량제어기는 차량 전체의 구동 전략과 브레이크 시의 회생제동, 고전압 배터리의 SOC management 등을 제어하는 역할을 한다. 엑셀 페달 및 브레이크 페달의 신호를 입력 받아 운전자의 주행의지를 받아 들이고, 차량의 각종 제어기들과 CAN 통신을 통하여 필요한 정보들을 송수신한다. 이러한 입/출력 동작을 통하여 차량 전체의 구동전략을 세우고 각종 제어기들에게 주행에 필요한 정보를 전달한다. MCU(Main Control Unit)로는 32bit micro-controller 이 적용되었으며, 열충격과 고온동작 내구 등의 환경시험 및 전자기파 적합성 시험등을 통해 외부환경 변화에도 요구 성능을 만족함을 확인하였다. 이러한 성공적인 개발을 통해 2011년 초 시범양산되는 현대기아자동차의 BLUE ON 에 양산적용될 예정이라는 데에 의의가 있다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.8
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• pp.63-70
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• 2006

This paper presents design of the linear propulsion system of a high-speed (200km/h) dynamic tester for catenary-current collection. Among various propulsion systems, a permanent magnet linear synchronous motor is chosen for need of high acceleration force. The design is performed by the equivalent magnetic circuit method and verified by the finite element method. In addition, analysis of the main effects of various design variables for performance of the propulsion system has been done by using simulation-based DOE method.

• Journal of the Korean Society for Railway
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• v.8 no.5
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• pp.419-424
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• 2005

This paper has performed fatigue and nondestructive test of bogie frame for Korean tilting train. Before the fatigue test, static tests were carried out. From the test, the structural safety was investigated using Goodman diagram. After the static test, the fatigue test were conducted under tilting load conditions. The fatigue test was conducted for $10{\times}10^6$ cycles. During the fatigue test, the nondestructive tests using magnetic particle and liquid penetrant were performed at $6{\times}10^6$ cycle and $10{\times}10^6$cycle. From the crack detection tests, it was known that there was no fatigue crack in the bogie frame.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.277-280
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• 2014

Recently, military vehicles that are being driven are equipped with a lot of electronic devices. The military vehicles are easily exposed to impact. Thus, they have to be designed robustly to ensure that the stability of the vehicle and the electronic equipment. In order to design the vehicles efficiently, the dynamic characteristics of a military vehicle have to be identified exactly. The main frame has a significant role to the dynamic characteristics of the vehicle. Thus, this research was progressed mainly with the frame. By carrying out road tests, the characteristics could be identified. Also, based on the characteristics, we constructed FE model of the frame and performed the analysis of the dynamic characteristics of the vehicle.

• 한국방재학회:학술대회논문집
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• 2010.02a
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• pp.45.1-45.1
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• 2010

포장도로의 노화로 인해 도로 표면의 평탄성이 높아지면 차량 주행 시 연료소모량이 증가하는 것으로 알려져 있다. 본 연구에서는 소형/중형/대형의 3개 승용차량에 대해 3가지 평탄도의 도로에서 40~100km/h 의 정속주행 연료소모량을 측정하여 도로 평탄성의 변화에 따른 연료소모량의 변화율을 계산할 수 있었다. 시험결과, 평탄성 증가에 따라 연료소모량이 직선적으로 증가하였으며, 평탄성에 대한 l차 직선방정식으로 연료소모량을 표현할 수 있었다. 평탄성 1m/km 증가 시 연료소모량은 약 80mL/100km 정도의 비율로 증가함을 알 수 있었다. 추후 본 시험의 결과를 이용하여 도로 노화에 따른 연료소모량 증가의 정도를 추정하여 다양한 도로 복구 작업 등에 이용하여 도로에서 발생할 수 있는 사고 예방 등에 활용할 수 있을 것으로 판단된다.

• Proceedings of the KSR Conference
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• 2002.10b
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• pp.857-862
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• 2002

The bogie, when run on the twist track develops the wheel off-loading factor. This will be comfirmed by testing under different loading conditions and air springs inflated and deflated in all conditions. Under the most extreme twist track condition, EMU (Electrical Multiple Unit) shall not over the wheel off-loading requirement 60% defined on UIC / ORE report. This paper describes the wheel off-loading test procedure according to UIC / ORE and test result of DMRC EMU of INDIA carried out to find out to meet the requirement defined in UIC / ORE.

• Transactions of the Society of Information Storage Systems
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• v.11 no.2
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• pp.26-30
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• 2015

Recently, military vehicles are driven with a lot of electronic devices such as radar, antenna, and information storage devices. However, the military vehicles can be exposed to impact easily. Therefore, they have to be designed robustly in order to ensure the stability of the vehicle and the electronic devices. To achieve that, the dynamic behaviors of the military vehicle should be exactly identified. Therefore, in this research, dynamic behaviors of the vehicles were identified by carrying out road tests and we constructed finite element model to analyze the dynamic characteristics of the vehicle.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2009.05a
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• pp.175-178
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• 2009

도로조명에서 선형유도는 교통과 관련하여 매우 중요한 질적인 요소이며 도로 주행 시 운전자에게 전방의 도로 형태를 미리 인지할 수 있도록 도와준다. 본 논문에서는 개발 중에 있는 낮은 조명 방식과 가로등 조명 방식에서 선형유도 성능을 평가할 수 있는 시험법을 고안하였다. 이 후 20대와 60대의 피험자를 선발하여 평가 시험을 실시할 예정이다.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.164-172
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• 2019

In this paper, we implement a wheeled mobile robot that accurately and autonomously finds the optimal route from the starting point to the destination point based on computer vision in a complex indoor environment. We get a number of waypoints from the starting point to get the best route to the target through deep reinforcement learning. However, in the case of autonomous driving, the majority of cases do not reach their destination accurately due to external factors such as surface curvature and foreign objects. Therefore, we propose an algorithm to deepen the waypoints and destinations included in the planned route and then correct the route through the waypoint recognition while driving to reach the planned destination. We built an autonomous wheeled mobile robot controlled by Arduino and equipped with Raspberry Pi and Pycamera and tested the planned route in the indoor environment using the proposed algorithm through real-time linkage with the server in the OSX environment.