• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1306-1311
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• 2013

Driver for safety always check the status of their vehicle, and it is essential to understand. When driver know vehicle driving status, there is know vehicle driving status to use vehicle realtime control data by OBD-II of vehicle network and connected OBD-II connector. But, connector to receive OBD-II data differ each communication connection method to connect smart device.(such as smartphone, blackbox, EDR) if vehicle driver change another smart device from smart device(such as android -> iphone, iphone -> android), vehicle driver exist the inconvenience that purchase new OBD-II connector. in this paper, As make up for the fault, there is to implement one OBD-II connector that integrate Bluetooth, Wifi, WCDMA module. as result, anything smart device was notified realtime vehicle control data through implemented one OBD-II connector in this paper

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.307-310
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• 2013

최근 스마트폰, 블랙박스, EDR등에서 자동차 네트워크인 OBD-II를 이용하여 자동차 실시간 제어데이터를 알 수 있게 되었다. 하지만 각각의 장치(스마트폰, 블랙박스, EDR등)에서는 OBD-II에서 자동차 데이터를 수신 받을 때 사용되는 통신 네트워크가 다르다. 본 논문은 이러한 단점을 보완 하고자 각 장치에서 대부분 사용되어 지는 Bluetooth와 Wifi, WCDMA 모듈을 통합하여 사용자가 1개의 리더기 만으로도 어느 장치에서든지 OBD-II네트워크에서 자동차 실시간 제어 데이터를 알 수 있는 OBD-II 네트워크의 리더를 위한 통합 하드웨어를 구현 하였다.

• Transactions of the Korean Society of Automotive Engineers
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• v.23 no.3
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• pp.271-278
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• 2015

This paper develops an OBD Diagnostic Program (Program) using Visual Studio (C#), which was used to diagnosis malfunction information from OBD-II system vehicles. We accomplished this using the Program, Diagnostic tests, Board (STN1110), FTDI Basic Cable, Mini USB Cable, OBD Data Cable, and both hybrid and regular vehicles. The Program tests real-time data output, DTC output, sensor value output, engine RPM, waveform data, OBD type check, PID inspection, and whole monitoring. We found vehicles used in this research had 19 PIDs, which was within OBD-II regulations. We also gathered data on control and diagnostic code regulated by OBD-II system, such as, sensor output value, engine RPM, DTC output, each PID analytic value, OBD type, fuel mode, and whole monitoring result value. Using the data collected through the Program appropriately can lead to more effective diagnostic practices and contribute to education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.423-426
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• 2012

최근 자동차 급발진 문제가 사회적 이슈가 되고 있다. 기본 장착품으로 자리잡은 블랙박스에 찍힌 동영상이 유포되면서 급발진으로 의심되는 영상이 속속히 등장하고 있다. 지금까지 모든 급발진은 대부분 운전자의 실수로 판결났다. 미국에서도 자동차 결함을 인정하지 않으면서도 도의상 일부 보상해준 사례가 있으나 결론에는 차이가 없었다. 본 논문에서는 기존 블랙박스 영상만으로 차량 급발진 사고유무 분석이 어려웠던 부분을 OBD-II(Onboar Diagnostic-II)에 소형블랙박스를 장착하여 운전자가 패달을 밟았는지의 유무를 판단하고, 메모리카드가 장착이 됨으로써 OBD-II의 차량 정보 및 GPS를 이용한 현재 시간, 영상 정보를 저장하여 정확한 판단을 하기위해 OBD-II 내의 블랙박스를 적용한 시스템을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.355-358
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• 2015

산업용 CRDI 엔진에서 센서의 정보를 분석하여 최적의 조건으로 엔진이 동작하도록 하기 위해 산업용 CRDI 시스템에 적합한 OBD-II 프로토콜을 설계하고 ECU의 센서 정보를 전문가 아닌 일반 사용자가 내용을 이해하기 쉽도록 사용자 중심의 진단기의 개발이 필요하다. 따라서, 본 연구에서는 자동차 고장진단 신호 및 센서 출력 신호를 유선시스템과 무선 시스템인 블루투스 모듈을 이용하여 실시간 통신이 제공 될 수 있는 OBD-II 진단기 S/W를 설계 및 구현하였다. 엔진이상으로 인한 사고의 예방이 가능하고, 최적의 조건으로 엔진이 동작하므로 과도한 배기가스 배출이나 불완전 연소가스 배출과 같은 대기환경오염을 예방할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.321-324
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• 2013

디젤엔진에서 노킹 현상은 엔진의 성능 및 수명에 직접적인 영향을 주는 중요한 인자이며, 엔진 밸런스 또한 엔진 출력 및 내구성에 직접적인 영향을 미치는 중요한 인자이다. 따라서 노킹 진단 및 엔진 밸런스 보정 알고리즘을 적용하여 ECU를 최적화 하고자 한다. 또한 OBD-II 표준을 사용하여 차량 위주의 진단기를 개발하여 운전자 중심의 진단 서비스를 제공하며, 자동차 고장진단 신호 및 센서 출력 신호를 실시간 통신이 제공 될 수 있게 한다. 이를 위해 자동차 고장진단 신호 및 센서출력 신호를 유선시스템과 무선 시스템인 블루투스 모듈을 이용하여 실시간 통신이 제공 될 수 있는 OBD-II 진단기 S/W를 설계 및 구현하였다.

• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1338-1346
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• 2007

Beyond a simple voice service, the advances in performance and resolution of mobile handsets provides us various features in the field of mobile services. Also, advances in the human-machine interface, electronics and embedded system technologies have created the foundation for a dramatic shift in the way the vehicles are diagnosed and maintained. In this paper, we will show the vehicle diagnostic system using the mobile handset based on the OBD-II (On Board Diagnostics version II) protocol. After 2005, OBD-II standard is obligatory for all vehicles selling in Korea. Our research topics are OBD-II protocol converter for the mobile handset and the vehicle diagnostics system on WIPI(Wireless Internet Platform for Interoperability) mobile platform, which is the standard mobile platform in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2347-2352
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• 2011

driver for safety always check the status of their vehicle, and it is essential to understand. But if you want to know the status of the driver of the vehicle in specialist referral time and money because it costs the operator shall be paid.IT technoligy with the development of the various features of your phone to check the status of the vehicle was able to do. However, the car' existing phone system, car diagnostic expertise must be learned because it will reveal the status of the vehicle do not have the expertise to not highlight the need for diagnostic. To reflect these points in smartphone users to easily use their own vehicles at a time to determine the status of a system that is required. In this paper, OBD-II protocol conversion WiFi OBD-II connector, retrieving information from the driver of the vehicle replacement cycle of consumables required vehicle inspection, vehicle problems in real-time diagnostic information to the user ease of use shows the iPhone implementation in the automotive supply was implemented based on the smartphone.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.263-266
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• 2011

Drivers check always vehicle state for own safety and is necessary to understand about vehicle state. If driver know vehicle state, because driver request vehicle state at vehicle specialty company, driver pay a lot of money and waste a lot of time. Now, drivers have checked vehicle state by using variety features of smart phone due to progress of IT(Information Technology). but existing smartphone vehicle diagnostic system learned professional knowledge of vehicle and know vehicle state. drives not need vehicle diagnostic. to overcome these disadvantages, there use easily drivers by using smartphone and request system to know own all vehicle state. In this paper, there implement vehicle diagnostic system with smartphone based on android OS to use easily this system and know check information of vehicle supplies replacement cycles, vehicle internal problems, Eco driving by using OBD-II data to receive by OBD-II Protocol convert Bluetooth connector.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.2
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• pp.9-14
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• 2011

This Paper proposed the prediction method of fuel consumption from vehicle informations through OBD-II Interface. We assumed RPM, TPS had a relationship with fuel consumption. We got the output as fuel-consumption from a vehicle RPM, TPS as input by using polynomial equation. We had modelling as quadric function with OBD-II data and fuel consumption data supported by automotive company in real. In order to verify the effectiveness of proposed method, 5 km real road-test was performed. The results showed that the proposed method can estimate precisely the fuel consumption from vehicle multi-data.