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구병국(Byongkook Koo),김선주(Sonjoo Kim),조춘택(Choontack Cho) 한국자동차공학회 2005 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2005 No.11_2
Vehicle pull is one of the most important problem on the vehicle quality from customers. To understand the vehicle pull, this paper describes vehicle pull phenomenon by considering the causing factors of a tire and a vehicle through the matching factors. The paper has considered the three groups of pulling factors: Tire factors of conicity and PRAT, vehicle factors of wheel alignment, and the external environment factor of road crown and weight. Those factors must be analyzed to improve the vehicle pull tendency. Therefore. by using ADAMS/CAR, vehicle pull simulation which makes it possible to consider the effects of passenger and road crown, PRAT, conicity and wheel alignment, is applied to evaluate drift and WST(Wheel Steering Torque).
실험계획법을 이용한 효율적인 차량 쏠림 해석 방법 연구
구병국(Byoungkook Koo),이창호(Changho Lee),신영동(Youngdong Shin),조춘택(Choontack Cho) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Vehicle pull is one of the most important problem at the initial stage of vehicle development. It is generally known that the vehicle pull is a phenomenon occurred by the residual force and moment. To minimized vehicle pull in this paper introduces the analysis method of vehicle pull simulation which makes it possible to consider matching factors between a vehicle and tires using design of experiments. Therefore, it has analyzed the correlation between factors using ADAMS/CAR S/W including PAC2002 Tire model.
도로 위험 탐지를 위한 데이터 편향성 최적화 기반 연관 추론 모델
류성은,김현진,구병국,권혜정,박찬홍,정경용,Ryu, Seong-Eun,Kim, Hyun-Jin,Koo, Byung-Kook,Kwon, Hye-Jeong,Park, Roy C.,Chung, Kyungyong 한국융합학회 2020 한국융합학회논문지 Vol.11 No.9
본 연구에서는 도로 위험 탐지를 위한 데이터 편향성 최적화 기반 연관 추론 모델을 제안한다. 이는 사용자의 개인적 특성과 주변 환경 데이터를 수집하고 교통사고 방지 서비스를 제공하기 위한 연관분석 기반의 마이닝 모델이다. 이는 다양한 상황 변수들로 구성된 트랜잭션 데이터를 생성한다. 생성된 정보를 바탕으로 연관 패턴 분석을 통해 각 트랜잭션 내 변수들의 유의미한 연관관계를 도출한다. 분류된 범주형 데이터의 편향성을 고려하여 최적화된 지지도 및 신뢰도 값으로 가지치기를 진행한다. 추출된 상위 연관규칙을 바탕으로 사용자에게 개인 특성과 주행 도로 상황에 대한 위험 탐지모델을 제공한다. 이는 데이터 편향성 문제를 극복하고 데이터간 연관성을 고려하여 잠재적인 도로 사고를 예방하는 교통 서비스가 가능하다. 성능 평가는 제안하는 방법이 정확도에서 0.778, Kappa 계수에서 0.743로 우수하게 평가된다. In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.
권용철,이경섭,김성훈,구병국 사단법인 유공압건설기계학회 2019 드라이브·컨트롤 Vol.16 No.4
The HPM (High-speed Power Matching) system is an electro-hydraulic control system. It directly controls the swash plate of the pump by selecting four-loop logic based on joystick signals, pump flow, and pressure signal to improve the efficiency and controllability of construction machines. In the NFC (Negative Flow Control) system, a typical pump control system using conventional open center type MCV, the loss is continuously generated by flow through the center bypass line even when the excavator is not in operation. Also, due to the slow response of the pump that indirectly controls the flow rate using the pressure regulator, peak pressure occurs at the start or stop of the operation. Conversely, the HPM system uses an MCV without center-by-pass flow path and the swash plate of a pump for the HPM is controlled by a high-speed proportional flow control valve. As a result, the HPM system minimizes energy loss in standby state of the excavator and enables peak pressure control through rapid electro-hydraulic control of a pump. In this paper, the concept of the HPM system algorithm is introduced and the hydraulic system efficiency is compared with the NFC system using the excavator SAT (System Analysis Tool).