• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.621-622
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• 2006

This paper presents the design of LVDS(Low-Voltage-Differential-Signaling) driver circuit for Gb/s-per-pin operation using BiCMOS process technology. To reduce chip area, LVDS driver's switching devices were replaced with lateral bipolar devices. The designed lateral bipolar transister's common emitter current gain($\beta$) is 20 and device's emitter size is 2*10um. Also the proposed LVDS driver is operated at 2.5V and the maximum data rate is 2.8Gb/s approximately.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2001년도 전력전자학술대회 논문집
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• pp.288-291
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• 2001

In steel plant, load torque of mill driver motor is changed periodically because working state and idle state are repeated and load current of working state is necessarily higher than rated motor current. The over current limiter is one of the basic thermal protection method from over heating. In this paper, we analyzed the structure of over current limiter for motor and motor driver systems, developed over current limiter with same operation and structured warning system of action of over current limiter. As using this warning system, we can avoid abrupt plant stop by over current limiter in mill driver and lessen producing loss by plant stop. The developed warning system of action of over current limiter is exactly inspected by computer simulation md analysis of acquired data.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.238-241
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• 2019

본 논문에서는 차량에서 측정되는 모든 센서 데이터를 클라우드에 저장하고, 저장된 데이터를 분류 모델을 이용해 분석한 다음, 분석이 완료된 데이터를 실시간으로 운전자의 디스플레이에 제공하는 "클라우드와 데이터 마이닝을 이용한 차량 분석 시스템"을 설계한다. 제안하는 정보 분석을 위한 클라우드 서버는 차량에서 측정하는 센서 데이터를 클라우드 서버의 테이블에 저장하고 전달받은 데이터를 분석 모듈로 전달하는 센서 데이터 통신 모듈과 분류를 위해 전달받은 데이터를 학습 알고리즘을 이용해 분류한 분류 모델을 이용서 목적에 맞게 분석, 분류하고 운전자에게 실시간으로 정보를 제공하는 센서 데이터 분류 모듈로 구성된다. 제안된 정보 분석을 위한 클라우드 서버는 차량에서 수집되는 수많은 센서 데이터를 클라우드 서버에 저장하기 때문에 차량에 데이터가 과부하 되지 않고 데이터 분류를 위한 연산을 차량이 아닌 클라우드 서버에서 진행하기 때문에 데이터를 빠르고 효율적으로 관리할 수 있다. 또한, 운전자가 원하는 정보들을 디스플레이에 시각화하여 사람들의 자율주행차량에 대한 안정성을 증가시킬 수 있다.

• 한국심리학회지 : 문화 및 사회문제
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• 제12권1호
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• pp.55-79
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• 2006

본 연구에서는 오류와 착오가 고령운전자의 운전행동에 어떠한 영향을 미치는지 알아보았다. 우선, 운전일탈행동의 구조와 문항의 신뢰도를 알아보기 위하여 456명의 운전자에게 운전일탈행동조사지(DBQ: Driver Behaviour Questionnaire)를 실시하였다. 그리고 883명의 운전자를 대상으로 운전일탈행동조사지를 실시하여 운전자들의 오류와 착오를 측정하였다. 참가자 가운데 만 25세 이하 청소년운전자와 만 65세 이상 고령운전자 325명을 대상으로 운전경력, 주행거리, 위반경험, 사고경험을 조사하였으며, 고령운전자의 자료는 1:1 인터뷰를 통하여 수집하였다. 그리고 운전일탈행동의 구조를 알아보고자 요인분석을 실시하고, 연령에 따른 운전일탈행동의 변화를 살펴보았다. 또한, 고령운전자와 청소년운전자를 대상으로 운전일탈행동과 운전경험과의 관계를 알아보았다. 그 결과, 운전일탈행동은 '위반', '오류', '착오'의 세 요인으로 이루어져 있었으며, 연령이 중가할수록 운전일탈행동은 감소하는 것으로 나타났다. 고령운전자와 청소년운전자 모두 운전경력이 많을수록 운전일탈행동은 적었으며, 고령운전자는 운전일탈행동 가운데 오류점수가 높고 청소년운전자는 위반점수가 높았다. 청소년운전자의 운전일탈행동은 주행거리, 위반경험과 상관관계가 있었고, 고령운전자의 운전일탈경험은 주행거리와 사고경험에 영향을 주고 있었으며, 특히 위반, 오류, 착오점수가 높을수록 고령운전자의 사고경험은 많았다.

• 대한기계학회논문집A
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• 제27권7호
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• pp.1146-1151
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• 2003

In this paper, results of an analysis of driving behavior characteristics and a driver-adaptive control algorithm for adaptive cruise control systems have been described. The analysis has been performed based on real-world driving data. The vehicle longitudinal control algorithm developed in our previous research has been extended based on the analysis to incorporate the driving characteristics of the human drivers into the control algorithm and to achieve natural vehicle behavior of the adaptive cruise controlled vehicle that would feel comfortable to the human driver. A driving characteristic parameters estimation algorithm has been developed. The driving characteristics parameters of a human driver have been estimated during manual driving using the recursive least-square algorithm and then the estimated ones have been used in the controller adaptation. The vehicle following characteristics of the adaptive cruise control vehicles with and without the driving behavior parameter estimation algorithm have been compared to those of the manual driving. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore, it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.481-484
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• 1996

When logistics system is integrated with production system and marketing system, it takes a very important role of the business management. In general, measurement of logistics cost in logistics system uses the conventional cost assignment method. However the conventional method may result in the incorrect cost because the overhead cost may be incorrectly assigned to the products. Activity-Based Costing(ABC) was proposed as an alternative method which will distribute the overhead cost to each cost obeject more accurately. ABC assigns cost to activities based on the amounts of resources used by resource driver, and assigns cost to cost objects based on the amount of activities driver. This study proposes two heuristic algorithms. The first algorithm selects the best activity driver for each cost object by using correlation analysis. The best activity driver is the one that minimizes the sum of loss cost and measurement cost of activity driver. The second algorithm selects the best number of activities by using correlation analysis. The pair of activities with the highest correlation are combined into one if the saving of measurement cost is no less than the loss due to inaccurate distribution of overhead cost. In order to demonstrate the procedure and validity of the algorithms, Real data of one year from a paper manufacturer are used.

• 대한산업공학회지
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• 제41권1호
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• pp.50-58
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• 2015

The research on autonomous vehicle that expected to greatly reduce accidents by driver's mistakes is increasing in the development of technology. The purpose of this research is to identify the factor that affect trust in autonomous vehicles and analyze the requirements of the driver in autonomous vehicles environment. Therefore, in this study, we defined the information and functions provided by the autonomous vehicles through the investigation of the prior studies, conducted a questionnaire survey and focused group interview (FGI). The results show that competency, error management were important factors influencing trust in autonomous vehicles and identified that driver took safety related information as high priority in autonomous vehicle. Also, it was identified that driver prefer to perform the multimedia function in autonomous vehicle environment. The study is looking forward to be the reference data for design of advanced autonomous vehicle. It will contribute to the improvement of the convenience and satisfaction of the drivers.

• Advances in Automotive Engineering
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• 제1권1호
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• pp.61-77
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• 2018

In this study, the effects of sitting position of the driver on the whiplash neck injury have been analyzed experimentally by using hybrid III series 50 percentile male crash test dummy. A testing platform consisting of vehicle ground, driver foot rest, driver seat and a 3-point seatbelt has been prepared. This testing platform and the instrumented crash test dummy are prepared for tests according to the Euro NCAP whiplash testing protocol. The prepared test set-up has been exposed to 3 different acceleration-time loading curves defined in the Euro NCAP whiplash testing protocol by performing sled tests. 9 different sled tests have been performed with the combinations of 3 different seating positions of the crash test dummy and 3 different acceleration-time loading curves. The sensor data obtained from the crash test dummy and high-speed videos taken are analyzed according to the injury assessments criteria defined in the Euro NCAP whiplash testing protocol and the criticality of the whiplash injury is defined. It is seen that the backset distance of the driver head with the headrest and the height difference of the top of the head of the driver with the headrest have a great importance on whiplash injuries.

• 디지털콘텐츠학회 논문지
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• 제15권5호
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• pp.579-586
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• 2014

본 논문은 문맥-자유 문법 (context-free grammar)를 이용하여, 차선변경 상황에서의 운전자의 행동패턴 인식을 하는 방법을 제안하는 것을 목표로 한다. 문맥-자유-문법은 기존 패턴인식 방식과는 대조적으로 유한적 기호로는 쉽게 표현될 수 없는 특징들을 비교적 손쉽게 표현할 수 있다. 이 방식을 적용하여, 동시에 여러 특징을 각각 고려해야 하는 좌표기반 데이터 처리 대신 심볼 시퀀스 방식 (symbolic sequence)을 패턴화하기 위해 구문론적 방식을 적용한다. 이 방법은 운전자와 안전 운전 분야 연구자들에게 효율적이고 보다 직관적인 방법으로 보다 더 효과적인 수행에 도움이 된다. 본 연구의 향후과제로 보다 안정적인 인식률을 획득하기 위해 확률적 구문분석 방법을 적용할 계획이다.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.951-969
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• 2017

In this paper, we newly propose a traffic information service model that collects traffic information sensed by an individual vehicle in real time by using a smart device, and which enables drivers to share traffic information on all roads in real time using an application installed on a smart device. In particular, when the driver requests traffic information for a specific area, the proposed driver-personalized service model provides him/her with traffic information on the driving directions in advance by predicting the driving directions of the vehicle based on the learning of the driving records of each driver. To do this, we propose a traffic information management model to process and manage in real time a large amount of online-generated traffic information and traffic information requests generated by each vehicle. We also propose a road node-based indexing technique to efficiently store and manage location-based traffic information provided by each vehicle. Finally, we propose a driving learning and prediction model based on the hidden Markov model to predict the driving directions of each driver based on the driver's driving records. We analyze the traffic information processing performance of the proposed model and the accuracy of the driving prediction model using traffic information collected from actual driving vehicles for the entire area of Seoul, as well as driving records and experimental data.