• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.17-20
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• 2007

본 논문은 차량 내부에서 정면의 얼굴 뿐 아니라, 측면의 얼굴도 효과적으로 추출하기 위해 다시점의 Haar-like 특징을 결합하여 사용하는 방법을 개발하여 적용하였고, 얼굴의 위치변화에 비교적 강건한 HMM(Hidden Markov Model)기반의 얼굴 인식을 사용하며, 또한 다양한 얼굴자세, 조명환경 등의 다중 얼굴 자료를 기반으로 하는 다시점 얼굴 DB의 학습을 통해 보다 강건하게 얼굴을 인식할 수 있도록 개선하였다. PC를 통해 운전자의 얼굴이 정상적으로 인식되면 자동으로 시동모듈을 제어하여 시동을 걸어줌으로써 운전자의 편리성을 향상할 수 있고 운전자가 아닌 자가 운전석에 착선한 경우에는 획득된 운전자의 얼굴영상 부분을 원격단말기로 전송하여 운전자 또는 경찰이 이를 이용하여 도난을 방지할 수 있는 조치를 취할 수 있도록 지원한다.

• The Journal of Bigdata
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• v.6 no.1
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• pp.179-196
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• 2021

With the spread of untact culture resulting from the Covid-19 pandemic, the size of the car camping market has expanded to minimize contact with others. As a result, SUVs have exceeded sales of sedans, and sales of recreational vehicles (RVs) have increased by 101% compared to the same period last year. Despite the explosive increase in demand for car camping, research on car camping has not matched this increase. Therefore, in this study, we intended to conduct a study focused on car camping users. According to a survey of Naver's famous car camping cafe, it was difficult to find articles, maps, and websites with car camping places. Analysis of car camping websites showed that most only post information about the camping itself, so details of car camping places were not available. Furthermore, according to a survey derived from related prior studies and literature surveys, most users urged solutions to the problem of unauthorized garbage dumping in the car camping locations. In addition, car camping users wanted to receive information on amenities near the car camping places. Therefore, we aimed to establish a car camping website that provides basic information on car camping places and nearby convenience facilities. Moreover, to solve the problem of garbage dumping, we provided a category wherein users can post pictures of clean camping campaigns. We also developed a business model utilizing the certification process of clean camping. The business model is designed with a structure wherein car camping users are rewarded through the clean camping certification process. Compensation for clean camping certification was proposed to be provided through partnerships with domestic automakers, Korea Tourism Organization, and Small Business Market Promotion Agency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.374-380
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• 2017

The Internet of Things (IoT) refers to intelligent technologies and services that connect all things to the internet so they can interactively communicate with people, other things, and other systems. The development of the IoT environment accompanies advances in network protocols applicable to more lightweight and intelligent sensors, and lightweight and diverse environments. The development of those elemental technologies is promoting the rapid progress in smart car environments that provide safety features and user convenience. These developments in smart car services will bring a positive effect, but can also lead to a catastrophe for a person's life if security issues with the services are not resolved. Although smart cars have various features with different types of communications functions to control the vehicles under the existing platforms, insecure features and functions may bring various security threats, such as bypassing authentication, malfunctions through illegitimate control of the vehicle via data forgery, and leaking of private information. In this paper, we look at types of smart car services in the IoT, deriving the security threats from smart car services based on various scenarios, suggesting countermeasures against them, and we finally propose a safe smart car application plan.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.3
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• pp.34-46
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• 2021

In order to accelerate the commercialization of self-driving cars, it is necessary to accurately identify the causes of deteriorating the driving safety of the current self-driving cars and try to improve them. This study conducted a questionnaire survey of experts studying autonomous driving in Korea to identify the causes of problems in the driving safety of autonomous vehicles and the level of autonomous driving technology in Korea. As a result of the survey, the construction section, heavy rain/heavy snow conditions, fine dust conditions, and the presence of potholes were less satisfied with the current technology level than their importance, and thus priority research and development was required. Among them, the failure of road/road facilities and the performance of the sensor itself in the construction section and the porthole, and the performance of the sensor and the absence of an algorithm were the most responsible for the situation connected to the weather. In order to realize safe autonomous driving as soon as possible, it is necessary to continuously identify and resolve the causes that hinder the driving safety of autonomous vehicles.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.969-976
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• 2022

In this paper, a drunk driving prevention system was implemented to measure drunk driving before starting to prevent drunk driving accidents caused by complacency after drinking. In order to prevent a situation in which a driver but not a driver authenticates instead of a driver, the identification means was strengthened and the alcohol sensor was implemented to operate when the wind sensor measured above the set value set. Through this system, the driver's alcohol measurement process was strengthened. Sensors were determined through various experiments, and finally, when the alcohol concentration was 0.03% or more, the DC motor was stopped and the vehicle was designed to be unable to operate, thereby implementing a system in which drunk driving was prevented in advance.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.3335-3340
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• 2007

The government have been tightening EM regulation gradually but the effect is not good because of rapid increase of vehicles. And medium & heavy duty diesel vehicles, even though the number is small, exhaust very large pollutants(about over 50%). Especially it is more severe about old trucks and buses. Accordingly, CNG vehicle and the retrofit of diesel to CNG must be an alternative in order to protect the atmospheric environment and improve the air quality in the metropolitan area. The main object of this study is to secure the retrofit technology of diesel to CNG vehicle and the management system of CNG engine. we passed the government emission certification test. In addition to this, the mass production for retrofit is also studied. Results of emission and durability test for certification are as follows; there was no problem during 30,000km vehicle durability test and good emission levels satisfying the regulation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1691-1699
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• 2014

IEEE developing WAVE specifications are able to support V2V and V2I wireless communications, and these functionalities can be used to enhance vehicle operational safety. To overcome any security weaknesses that are inherent in wireless communications, WAVE specification should support message encryption and authentication functions. In this study, we have implemented WAVE security algorithms in IEEE P1609.2 with openssl library and C language. We have verified the normal operation of implemented software, using the test vectors of related specifications, and measured their performance. Our software is platform independent, and can be used for the full implementation of WAVE specification.

• Proceedings of the KSME Conference
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• 2008.11b
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• pp.3102-3107
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• 2008

This paper was focused on the particulate matter (PM) on the gasoline and bio ethanol. Bio ethanol as a clean fuel is considered one of the alternative fuels that decreased the PM emission from the vehicle. Particle formation in SI engine was depended on the fuel and engine operating condition. In this paper, Particle number concentration behaviors were analyzed by DMS500 (Differential Mobility Spectrometer) and CPC (Condensation Particle Counter) instrument which was recommended by PMP (Particle Measurement Programme). Particle emissions were measured with various engine operating variables such as air excess ratio ($\lambda$), spark timing and intake valve opening (IVO) at part load condition. In vehicle test, the number of particulate matter was analyzed with golden particle measurement system, which was consist of CVS (Constant Volume Sampler), particle number counter and particle number diluter.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.2021-2034
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• 2008

This paper shows the result of study on the process improvement/innovation based on CMMI(Capability Maturity Model Integration) for Development V1.2 staged representation in the view of engineering area of software, hardware and system. This paper intend to help rolling stock industry to define & innovate process and finally obtain certificate for achievement of CMMI V1.2 from SEI authorized SCAMPI Lead Appraiser through the introduction experienced by Hyundai Rotem Company(car-builder and supplier of electronic & electrical equipment) such as why CMMI-based process definition & improvement are planned and how each processes of CMMI V1.2 Level 3 have been implementing and how obtaining the certificate of CMMI Maturity Level 3 of CMMI for Development V1.2 staged representation etc. This paper shows the introduction to CMMI V1.2 model, process improvement methodology and CMMI appraisal on the basis of Standard $CMMI^{SM}$ Appraisal Method for Process Improvement($SCAMPI^{SM}$), V1.2. And, this paper shows about what kinds of activities/practices of 18 processes(CMMI Maturity Level 3) is essentially implemented to satisfy their's specific goal and general geal through Hyundai Rotem Company's experiences. This paper shows the advantage and problem by adopting CMMI V1.2 model. Especially, it present the corrective/preventive actions against the identified problem in order to improve processes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.425-426
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• 2021

Recently, there have been frequent incidents of talent accidents caused by youth driving without a license. Driving without a license is becoming a hotbed of curiosity and challenge for some young people, and there is a limit to managing smart keys at home to prevent this. Therefore, in this paper, using the facial recognition algorithm, the face of the driver sitting in the driver's seat is compared with the information stored in advance, and the system is designed to control the engine by determining that it is a registered driver. If the registered driver authentication is successful, the matching accuracy and Unlock message are output to the LCD connected to the Raspberry Pi.