• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.279-280
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• 2024

본 논문에서는 주행 중 차량의 상태를 실시간으로 모니터링함과 동시에, 페달 조작 여부를 확인할 수 있는 영상 촬영 및 저장 시스템을 제안한다. 개발된 차량 운행 정보 블랙박스는 블루투스 OBD2 커넥터를 통해 차량의 PID 값을 식별하고 수집한다. 이 데이터는 비동기 방식으로 처리되며, 라즈베리파이와 7인치 터치 디스플레이를 이용해 운전자에게 한눈에 보일 수 있는 형태로 정보를 제공한다. 특히, 멀티스레드를 활용하여 ECU 정보를 페달 조작 여부 영상에 표시하는 동시에 녹화하고, CSV 파일로 SD 카드에 실시간으로 저장한다. 수집된 차량 데이터와 영상 데이터는 예기치 못한 사고 발생 시 운전자의 과실 비율 측정과 대처행동을 입증하는 데 중요한 역할을 할 것으로 기대되며, 차량 정비 시 참고 자료로 활용될 수 있다.

• International Journal of Automotive Technology
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• v.3 no.1
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• pp.33-40
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• 2002

Increasingly stringent emission regulations of EU and CARB (California Air resource Board) require mandatory OBD (On Board Diagnostics) far the catalytic converters of a vehicle. It demands that MIL(Malfunction Indication Light) should be tuned on to inform the driver of catalytic converter failures. Currently dual oxygen sensor method Is widely used for the converter OBD. However, since it works only alter converter light-off, it has a serious limitation when applied to TLEV or more stringent emission regulations where more than 85% of total emission is coming out before converter light-off. In addition, a recent development in catalyst material. coating technology and additive catalysts leads to a much improved OSC (Oxygen Storage Capacity) after converter light-off, current methods are very difficult to determine levels of converter aging. Therefore, it is desired to develop an OSC detecting method before converter light-off to diagnose converter failures with higher reliability. In this study, OSCs of converters are measured by an absolute measuring method and a dynamic measuring method, and some of fundamental ideas are suggested about converter OBD before converter light-off. The converters are aged with two different aging methods; those are a furnace aging and an engine bench aging: to represent aging conditions in actual field applications. Dual oxygen sensor method at the lower temperature than light-off is also studied at a model gas bench with the converters. It is fecund that there is a certain point in temperature lower than light-off where difference due to aging level becomes maximum, thus a proper dynamic method to effectively monitor catalytic converters could be implemented fur the range lower than light-off temperatures. With this result, the aging level of converters is examined at an engine bench.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.368-368
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• 2012

무기물 나노입자를 포함하는 유기물/무기물 나노복합체는 플렉시블 전자 소자에 적용이 가능하기 때문에 차세대 비휘발성 메모리 소자에 대한 응용연구가 활발히 진행되고 있다. 본 논문에서는 $CuInS_2$ (CIS)/ZnS 코어-쉘 나노 입자를 포함한 poly(N-vinylcarbazole) (PVK) 고분자 박막을 기억 매체로 사용하는 유기 쌍안정성 소자(organic bistable devices, OBD) 메모리 소자를 제작하고 전기적 성질에 대하여 관찰하고 전하 수송 메카니즘에 대하여 규명하였다. 화학적 방법으로 형성한 CIS/ZnS 코어-쉘 나노 입자와 PVK를 toluene 용매에 녹인 후 초음파 교반기를 사용하여 나노 복합 소재를 형성하였다. 하부 전극으로 indium-tin-oxide (ITO)가 증착되어 있는 유리 기판 위에 나노 복합 소재를 스핀코팅 방법으로 도포한 후 열을 가해 잔류 용매를 제거하였다. CIS/ZnS 코어-쉘 나노 입자가 분산되어 있는 PVK 나노 복합 소재로 구성된 박막위에 상부 전극으로 Al을 열증착하여 메모리 소자를 제작하였다. 전류-전압 (I-V) 측정 결과에서 저전압에서는 전도도가 낮은 OFF 상태를 유지하다 어느 특정 양의 전압에서 전도도가 갑자기 증가하여 높은 전도도의 ON 상태로 전이되는 쌍안정성이 관찰되었다. 전류의 ON/OFF 비율은 약 $10^3$이며 역방향 바이어스를 가해주었을 때 특정 음의 전압에서 전도도가 ON 상태에서 OFF 상태로 전환되는 전형적인 OBD 메모리 소자의 I-V 특성을 나타났다. 메모리 전하 수송 메커니즘 분석 결과 쓰기 과정은 thermionic emission (TE), space-charge-limited-current (SCLS) 모델과 지우기 과정은 Fowler-Nordheim (FN) 터널링 모델로 설명이 되었다. 제작된 소자에 대해 기억 시간 측정 결과는 ON과 OFF 상태의 전류가 장시간에도 변화가 거의 없는 소자의 안정성을 보여주었다. 이 실험 결과는 CIS/ZnS 코어-쉘 나노 입자가 분산되어 있는 PVK 나노 복합 소재를 사용하여 안정성을 가진 OBD 메모리 소자를 제작할 수 있음을 보여주고 있다.

• 전자공학회논문지 IE
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• v.48 no.2
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• pp.19-25
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• 2011

This paper presented neural network modeling method using vehicle data to predict fuel consumption. To acquire data for training and testing the proposed neural network, medium-class gasoline vehicle drove at downtown and parameters measured include speed, engine rpm, throttle position sensor (TPS), and mass air flow (MAF) as input data, and fuel consumption as target data from OBD-II port. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the neural network model can predict the vehicle quite well with mean squared error was $1.306{\times}10^{-6}$ for the fuel consumption.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.2
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• pp.266-272
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• 2012

This paper presents a parking assistant system of multi-view using vehicle data. Proposed system provides the driver with three direction of the scenes surrounding vehicle. Depending on the handle rotation, the proposed system displays views from multiple wide-angle CCD cameras on the laptop screen to reduce blind spots, support smooth parallel or garage parking, and support comfortable and safe driving. The handle angle and gear position are obtained from ABS ECU through OBD-II port. The performance of proposed system is validated by vehicle experiments.

• Journal of Climate Change Research
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• v.6 no.2
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• pp.143-158
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• 2015

This study developed the emission intensity estimation method of GHGs by considering the characteristics of the models and time series. The telematics device was installed on the vehicle (OBD-II) to collect information on the operation conditions from each sample vehicle of public authorities. As a result of comparing the mileage distance and fuel consumption, the matching degree is analyzed very high, showed a ${\pm}1{\sim}4%$ error for each vehicle. By comparing driving record diary of vehicles managed by public authorities, this study presents the method that can be used to verify driving information in order to derive the GHGs emission intensity.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.203-210
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• 2019

Most cars today use electronic control to control the state of the engine to achieve optimum performance. This study developed a device for maintaining fault diagnosis and optimal vehicle status by displaying the engine information of a car on the screen in real time using can communication. This system displays information generated from the engine to the driver in real time such as engine intake and exhaust temperature, current battery voltage, tire pressure, RPM, DPF collection amount, torque, and horsepower through the OBD2 socket. You can check immediately. It can help you to drive safely by measuring tire pressure and displaying it on the screen, and it provides a mode to set the shift timing to suit your taste. In particular, in the case of diesel engine cars, the problems caused by smoke can adversely affect the performance and environmental pollution. Therefore, the system was developed to display the DPF collection amount on the system screen to prevent environmental pollution and to manage the vehicle efficiently.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.285-304
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• 2017

Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.29-34
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• 2012

Nowadays, the problem of ETCS terminal in becoming popular gradually is that there is no services except for ETC. Therefore, we need new system that provide many type of additional services at one-terminal. In this paper, we study the additory function of ETCS terminal to afford many type of the vehicle administration beside collection and provider of traffic information. We descrived the method of Eco-driving function beside to save fuel signing instant and mean fuel-efficiency, measurement of section fuel-efficiency on OLED and then brings out the best driving habit in people and to prevent dangerous at the wheel as diagnosing engine oil, cooling water, fan belt, the point of changing consumables, diagnoses to an overheated engine, charges on generator through ECU. The multi-services terminal consist of the vehicle diagnosis module base on OBD-II and ETCS terminal.

• Journal of Korea Multimedia Society
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• v.11 no.10
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• pp.1436-1445
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• 2008

Currently, mobile handset embeds many communication modules including CDMA and Bluetooth, and many applications are developed based on these modules. In this paper, we study about wireless vehicle diagnosis software and user interface based on bluetooth system on mobile handset. We developed Bluetooth communication system on protocol converter between OBD(On Board Diagnostics)-II system. Based on this system, we can communicate ECU(Engine Control Unit) and mobile device based on windows .NET compact framework platform. Therefore we can easily diagnose vehicle state and obtain engine data. All user interface and vehicle diagnosis systems on mobile handset are developed under windows .NET compact framework platform. Using this system we achieved several improvements over existing vehicle diagnostic system; 1) the software download and upgrade can be achieve on wireless environment, 2) no additional diagnostic devices are requires, which saves additional cost and we can diagnose the vehicle easily, 3) we can easily port our system on many embedded systems including PDA and navigator, etc.