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정승환,김정호,전정수,Chung, Seung-Hwan,Kim, Jung-Ho,Jeon, Jeong-Soo 대한자원환경지질학회 1990 자원환경지질 Vol.23 No.1
Controlled source audio-frequency magnetotelluric (CSAMT) has the great advantage of efficient mapping resistivity distribution and relatively deep depth of investigation. Moreover, CSAMT may be regarded more attractive than audio-frequency magnetotelluric in the sense of the strong and controllable signal. However, it has the problem such as undershoot and/or near-field effect that is hard to be interpreted if the interpretation method of MT is directly applied. The problem arises from the existance of controlled source which makes CSAMT attractive. So the characteristics of CSAMT response should be thoroughly understood prior to interpretation stage. In this study, numerical modeling program for horizontally layered earth was developped for the interpretation of CSAMT field data. CSAMT field survey was run as a follow-up to resistivity dipole-dipole study over the same survey line at Bongmyung coal mine. The survey used a grounded dipole source 2 Km in length and located 7.5Km south in this study. A good agreement between field CSAMT data and calculated data was demonstrated even in geologically complex earth situations.
정승환,김종민,권성진,이봉현,Chung, Seung-Hwan,Kim, Jeong-Min,Kwon, Seong-Jin,Lee, Bong-Hyun 한국자동차안전학회 2013 자동차안전학회지 Vol.5 No.1
LKAS(Lane Keeping Assistance System) main function is to support the driver in keeping the vehicle within the current lane. Therefore, this system is able to reduce the driver workload with assisting the driver during driving. In this paper, we presented on study for test procedures and evaluation methods of the LKAS. The vehicle test conducted on straight road, left curve, right curve and four different types of lane under various vehicle speeds. This study proposed the LKAS system test procedures and methods that we are able to identify LKAS driving mechanism and performance.
선물시장에서 러프집합 기반의 유전자 알고리즘을 이용한 최적화 거래전략 개발
정승환,오경주,Chung, Seung Hwan,Oh, Kyong Joo 한국데이터정보과학회 2014 한국데이터정보과학회지 Vol.25 No.2
최근 알고리즘 트레이딩에 대한 관심이 높아지면서, 인공지능 방법론을 이용한 매매 전략 구축에 관련된 연구들이 활발하게 진행되고 있다. 하지만 복수의 인공지능 방법론을 융합하여 매매 전략 개발에 이용한 사례는 아직 많지 않다. 본 연구는 주가지수선물시장을 바탕으로 인공지능 방법론 중 하나인 러프집합 이론을 적용하여 알고리즘 트레이딩 매매전략을 개발한다. 특히 유전자 알고리즘을 도입하여 생성된 매매전략을 현재시장상황에 최고의 수익률을 보일 수 있도록 최적화한다. 실증분석으로는 2009년부터 2012년까지 4년간의 매매수익률을 분석한 결과 매수 후 보유 전략과 비교하여 우수한 성과를 보였다. As the importance of algorithm trading is getting stronger, researches for artificial intelligence (AI) based trading strategy is also being more important. However, there are not enough studies about using more than two AI methodologies in one trading system. The main aim of this study is development of algorithm trading strategy based on the rough set theory that is one of rule-based AI methodologies. Especially, this study used genetic algorithm for optimizing profit of rough set based strategy rule. The most important contribution of this study is proposing efficient convergence of two different AI methodology in algorithm trading system. Target of purposed trading system is KOPSI200 futures market. In empirical study, we prove that purposed trading system earns significant profit from 2009 to 2012. Moreover, our system is evaluated higher shape ratio than buy-and-hold strategy.
상용차량용 차량자세제어시스템 기능 및 제어 성능 평가에 관한 연구
정승환(Seung-Hwan Chung),권성진(Seong-Jin Kwon),김성섭(Sung-Sub Kim),이봉현(Bong-Hyun Lee) 한국자동차공학회 2014 한국자동차공학회 학술대회 및 전시회 Vol.2014 No.11
The ESP(Electronic Stability Program) system is a safety feature that detects and prevents vehicle skids and the ESP can help keep the driver from losing control of the vehicle when driving on slippery roads. This paper presents a vehicle driving test methods and results of the commercial vehicle ESP system. The ESP control algorithms are divided into two main categories which are traction control and brake control. From this research, we can estimate the control concept and algorithm of the commercial vehicle ESP system. Also, the ESP effectiveness and performance can be verified from the ESP On/Off test of the bus.