• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2234-2236
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• 2002

In this paper, realized an automation system that applies the automobile electromotive mirror using CAN(Controller Area Network : ISO l1898). CAN is being used mainly in ECUs (Electronic Control Units) connection of control system or automobile inside. And it has high reliability in the various network protocol. To be realized position system, Automobile Electro mirror, has a strong point that estabilishment e decrease and ease of maintenance it compare PPP(Point-to-point) method of existed. The realization composed of three portions. One Input Slave Con which accept a user's input, another Output Slave Co which drove it makes the motor of electromotive mirr other Master Controller which interfacing the two Controller. Automobile electromotive mirror realized time system that will be able to minize the delay t point of time user's input until output point of time mirror.

• 제어로봇시스템학회논문지
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• 제12권6호
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• pp.614-620
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• 2006

Today the automobile has been changed from a mechanical system to an electronic control system fly the development of the electronic technology. In the automobile body, most of these electronic control devices are networked and managed fully by the CAN protocol. But, when a network system is overloaded, unexpected transmission delay for relative low priority objects occurs due to the static priority definition of the CAN protocol. To resolve this problem, this paper proposes a dynamic precedence queue mechanism that creates a queue for the low priority object and its relevant objects to be transmitted, which becomes urgent in an overloaded network system to keep the maximum allowable time delay. For the generated queue, the highest priority is assigned to transmit the queued objects within the shortest time. The mechanism is implemented in the logical link layer of CAN, which does not require any modification of the old CAN hardware. Effectiveness of the proposed mechanism is verified by the real experiments with an automobile network system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.468-471
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• 2005

The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. One chip sensor module which include above two sensing elements, humidity sensor and bad odor sensor was developed for AQS (air quality sensor) in automobile. With this sensor module, PIC microcontroller was designed with back propagation neural network to reduce detecting error when the motor vehicles pass through the dense fog area. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation. One chip microcontroller, Atmega128L (ATmega Ltd., USA) was used. For the control and display. And our developed system can intelligently detect the bad odor when the motor vehicles pass through the polluted air zone such as cattle farm.

• 제어로봇시스템학회논문지
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• 제12권6호
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• pp.539-546
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• 2006

The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. The sensor module which includes two independent sensing elements for responding to diesel and gasoline exhaust gases, and temperature sensor and humidity sensor was designed for intelligent AQS in automobile. With this sensor module, AVR microcontroller was designed with back propagation neural network to a powerful gas/vapor pattern recognition when the motor vehicles pass a pollution area. Momentum back propagation algorithm was used in this study instead of normal backpropagation to reduce the teaming time of neural network. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation in this study. One chip microcontroller, ATmega 128L(ATmega Ltd., USA) was used for the control and display. And our developed system can intelligently reduce the malfunction of AQS from the dampness of air or dense fog with the backpropagation neural network and the input sensor module with four sensing elements such as reducing gas sensing element, oxidizing gas sensing element, temperature sensing element and humidity sensing element.

• 한국산학기술학회논문지
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• 제12권11호
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• pp.5110-5116
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• 2011

본 논문에서는 산업용 필드 버스 프로토콜 중 신호적으로 가장 안정하다고 알려져 있는 CAN(Controller Area Network) 프로토콜을 이용하여 자동차용 전동 거울의 멀티플렉싱 제어 시스템을 제안하고자 한다. 이를 위하여 하나의 마스터 컨트롤러와 입/출력을 각각 담당하는 2개의 슬레이브 컨트롤러를 설계하여 구현하고(H/W), 이러한 각 서브 시스템 들의 효과적인 동작과 통신을 위한 Application Layer를 구현(S/W)하였다. 구현된 전체 시스템은 실제 자동차용 전동 거울에 장착하여 실험함으로써 최소한의 전장 요소들만으로 효과적인 시스템의 운용 및 제어가 가능함을 보이고자 한다.

• 한국정보통신학회논문지
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• 제16권9호
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• pp.1923-1930
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• 2012

본 논문은 대한민국의 '자동차 요일제 특별계약'에서 사용 중인 기존 운행정보 시스템에서 사용자(보험 계약자)가 OBD 단말기(개인용 운행정보확인장치) 설치 중 잦은 탈착 과정에서 발생하는 문제점들을 해결하고자, 스마트폰과 WPAN(Wireless Personal Area Network)을 이용하여 무선으로 운행정보를 보내 탈착 과정을 생략할 수 있는 자동차 운행정보 시스템설계에 관한 연구내용을 다룬다.

• 경영과정보연구
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• 제2권
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• pp.335-354
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• 1998

In this study I construct CAN(Controller Area Network) for automobiles similar to LAN(Local Area Network) and build communication modules in the major part of an automobile to link several sub-systems. Since each station replaces the communication function of sub-systems and has various types of sensor, actuator, controller, and switch, every information about automobile's status is obtained from the network. The manufactured system showed a superior capability. The following is the contents of study. 1. The definition of communication packet through the analysis of CAN protocol. 2. The Design of modules using micro-controller 80C196CA. 3. The Network configuration.

• 한국유통학회지:유통연구
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• 제7권1호
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• pp.1-20
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• 2002

Many of logistics-related research in automobile industry has focused on inbound logistics and procurement. Research into outbound logistics is relatively few. As a starting research into outbound logistics in automobile industry, this paper examined its logistics network problems with three aspects - location strategy, inventory strategy and transportation strategy. We proposed alternatives of logistics network design resolution, and presented three practical scenarios based on those alternatives. Based on interview, on-site visit and internal data collection processes, we identified major domestic outbound logistics problems such as redundant logistics bases, inefficient delivery policy, insufficient inventory capacity, inventory stock quality deterioration, inefficient transportation system, and etc. In order to cope with those problems, we proposed such strategic alternatives as introduction of hub-and-spoke system, integration of logistics bases, introduction of (automatic) parking building, diversification of transportation mode, and etc. At the same time, we constructed three practically executable scenarios based on those ideas. The first is "Center Hub" scenario, the second is "Metropolitan Hub" scenario. The third and last scenario is "Regional Consolidation of Warehouses (distribution centers)".

• 대한산업공학회지
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• 제27권1호
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• pp.95-102
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• 2001

The design of automobile body assembly line is one of essential parts for improving the process performance. The major objective of this research is to develop a performance evaluation model for automobile assembly line using a closed queueing network(CQN) and simulation method. In this study we used a two-step approach to compute the performance of the assembly line : first, we used CQN model considering assembly line equipments and the line operating time under the assumption of no failure, and second we used a well-known simulator FACTOR/AIM. Finally we implemented this model on a K automobile company and we have shown the sample results of automobile body assembly line.

• 한국정보통신학회논문지
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• 제22권1호
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• pp.40-48
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• 2018

본 논문은 차량과 함께 카메라의 위치가 이동하는 블랙박스 영상을 위한 차량 번호판 인식 알고리즘을 제안한다. 카메라의 흔들림이나 빛의 변화가 많은 블랙박스 영상에서 다단계 신경 회로망을 사용하여 한글 문자의 인식률을 높여 전체적인 차량 번호판의 인식률을 높이고자 한다. 제안한 알고리즘은 차량 번호판의 한글 문자의 모음과 자음을 분리하여 인식한다. 먼저, 1차 신경 회로망으로 모음을 인식하고, 종모음('ㅏ','ㅓ')과 횡모음('ㅗ','ㅜ')로 구분한 뒤 각각의 모음군에 2차 신경 신경회로망을 이용하여 자음을 구분한다. 실제 블랙박스 영상을 획득하여 차량 번호판 인식 시뮬레이션을 수행하였으며, 그 결과 제안한 인식 시스템이 기존의 신경 회로망 기법을 사용한 차량 번호판 인식 시스템보다 높은 인식률을 보임을 확인하였다.