경쟁적 입지선정 문제의 안정집합을 찾기 위한 수리적 모형과 유전 알고리즘

최인찬(In-Chan Choi),김성인(Seong-in Kim),황대호(Dae-ho Hwang) 대한산업공학회 1997 대한산업공학회지 Vol.23 No.1

열차경합 검지 및 해소시스템의 한국철도 적용에 관한 선행연구

오석문(Seog-Moon Oh),홍순흠(Soon-Heum Hong),최인찬(In-Chan Choi) 한국철도학회 2004 철도저널 Vol.7 No.2

In this paper, we propose a pilot study to deploy the Railway Conflict Detection and Resolution System(RCDRS) in the context of Korean Railway(KORAIL). KORAIL plans to deploy in near future RCDRS, which is a decision support module placed on the top level of the Railway Traffic Management System(RTMS). This study entails the review of the state-of-art researches and projects in the field of the railway traffic management, as well as the analysis of the traffic characteristics of the major railroad lines in KORAIL. The analysis provides a basis to choose a solution approach for the railway conflict detection and resolution problem that each individual line faces. This study plays a role as a pilot study for a full systematic approach, in which interactions between lines require further advanced analysis to take the entire KORAIL lines into consideration rather than a myopic approach.

소프트 컴퓨팅을 이용한 지능형 네비게이션에 관한 연구

최인찬(In-Chan Choi),이홍기(Hong-Gi Lee),전홍태(Hong-Tae Jeon) 한국지능시스템학회 2010 한국지능시스템학회논문지 Vol.20 No.6

본 논문은 사용자의 운행 정보를 이용하여 사용자의 선호도 및 성향과 주변의 환경을 판단하고 적용하여 사용자에게 적합한 경로를 추천하는 지능형 네비게이션 시스템을 제안한다. 이 네비게이션 시스템은 센서 정보와 지능형교통시스템의 정보를 이용하여 추천된 경로의 환경 상태와 지형상태를 평가하고 사용자의 감정 상태와 사용자에게 심리적인 영향을 주는 도로의 환경 상태도 고려한다. 또한 소프트 컴퓨팅 기법을 사용하여 인간의 선호도와 성향을 추론 및 학습하며 제안한 알고리즘은 시뮬레이션을 통해 검증한다. In this paper, we propose an intelligent navigation system that selects a proper route for user and applies the user’s preference, user’s tendency and environmental state estimated by driving information of user and road state. The system uses data of sensors, navigation and intelligent transport system to evaluate conditions of roads and it considers state of user's emotion. The system also uses soft-computing method to infer and learn the user’s preference and tendency. We verify the proposed algorithm by computer simulation.

인공지능 기반의 CCTV 얼굴인식을 통한 자동화 출입관리 솔루션

최인찬(Choi, In-Chan),김태혁(Kim, Tae-Hyeok),서한석(Seo, Han-Seok),옥종호(Ock, Jong-Ho) 대한건축학회 2023 대한건축학회 학술발표대회 논문집 Vol.43 No.1

Currently, face recognition technology commercialized in Korea is a system that allows access after face authentication by installing a terminal at the door. Such a system has the disadvantage of having a high cost burden and low recognition success rate at a long distance because it requires installing a terminal individually at each entrance. As an alternative to this problem, the purpose of this study is to develop a solution that automatically opens the door by recognizing faces from short and long distances by using CCTV images without installing a terminal, and to alert the surroundings by sounding a warning light.

계층적 신경회로망을 사용한 변속선도 결정

최인찬(In-Chan Choi),전홍태(Hong-Tae Jeon) 大韓電子工學會 2011 電子工學會論文誌-SC (System and control) Vol.48 No.1

본 연구는 자동차에 장착된 일반적인 자동변속기의 문제점을 향상시키기 위해서 지능형 변속선도 결정 모듈을 제안한다. 전형적인 자동변속기의 변속선도는 운전자의 습관 및 성향이 반영되지 않기 때문에 운전자가 원하는 변속점을 제공하지 못한다. 기존의 변속선도는 불필요한 기어의 변화가 발생하고 연료효율에도 좋지 않다. 또한 가끔 킥-다운과 같은 현상이 발생한다. 그래서 본 논문에서는 개인적인 운전자의 운전 스타일을 고려한 변속선도를 결정하는 지능형 변속 제어 방법을 연구한다. 운전스타일은 주행 중인 자동차의 실제 데이터를 이용하여 운전자의 성향 및 운전 습관에 의해 판단된다. 이 모듈은 실제 자동차데이터를 학습하기 위해 신경회로망을 사용한 계층적 구조로 구성된다. 제안된 지능형 변속선도 제어 모듈은 각 운전자의 운전스타일에 따라 운전에 필요한 토크와 속도를 제공하여 운전자에게 적합한 변속점과 변속시간을 제공할 수 있다. We have investigated the Intelligent Shift-map Module(ISM) to improve some problems in the conventional Automatic Transmission(AT) for automobiles. The typical AT lacks flexibility regarding the shift point because it does not consider the driver’s habits and inclinations. Also it often is occurred phenomenon like kick-down. Therefore, we designed a decision module which considers the driving style of the individual driver. The driving style was determined by the inclination of the driver and the driving technique using actual automobile data. The Hierarchical Neural Network(HNN) was applied in generating an intelligent shift map with Multilayer Neural Network(MNN). It was found that the proposed ISM provided a suitable shift point and time because the necessary toque and velocity of the automobile was considered along with the driving style of each driver when designing the ISM.

공공성을 고려한 열차용량 할당

최인상(In-Sang Choi),오석문(Seog-Moon Oh),손무성(Moo-Sung Son),최인찬(In-Chan Choi) 한국철도학회 2005 한국철도학회논문집 Vol.8 No.6

In this paper, we consider the train-fleet assignment problem to determine fleet assignment and seat allocation synchronously. An integer programming model of the problem and a decomposition-based solution approach are developed to handle short-term period deterministic origin-destination demands. The primary objective used in the developed model is to maximize the total number of passengers transported during peak load periods, such as Chuseok national holiday period. Thus, in developing the model we choose to profit-pursuing system. We also show how the proposed model can be readily modified to incorporate profit-maximization. Using the empirical data sets provided by a Korean railroad company, we have tested the proposed solution approach and carried out various comparison analyses by varying traffic demand patterns and train schedules. The computational experiments reveal that the proposed solution approach produces high quality solutions in reasonable computation time.

잠수함 지원업무 요구일정과 부두 가용자원을 고려한 선석할당계획

최지원(Ji-Won Choi),최인찬(In-Chan Choi) 한국항해항만학회 2020 한국항해항만학회지 Vol.44 No.6

His paper looks more closely at the Republic of Korea’s (ROK) Navy submarine berth-allocation strategies, with the study’s results ultimately resulting in the proposition of an integer programming model. Current submarine berth-allocation planning problems include the need for more minimal berth-shifting and general support service failures, as a lack of efficient submarine berth-allocation often leads to submarines unable to receive the support service they need due to the inadequacy of their assigned berths. Currently, the ROK Navy allocates berths by only taking available reserve resources and the full-capacity limits of support services into account. This paper expands upon this strategy, and proposes a model which would allow for submarine berth allocation planning to also take submarine support service scheduling into account, allowing for more efficient and timely submarine servicing. This proposed model in turn minimizes berth shifting, support service failures, and allows for full coordination with the submarine support service request schedule. The construction of this model was carried out through data gathered on the ROK Navy’s fleets and forces, allowing for a more nuanced analysis of existing issues with submarine berth-allocation planning. 본 논문은 현재 한국 해군 잠수함 선석할당방법을 반영하여 기존의 잠수함 선석 할당계획문제를 확장하고 해당문제를 해결하는 정수계획모형을 제안한다. 기존의 잠수함 선석 할당계획 문제는 정박 중 선석 이동과 지원업무 실패를 최소화하면서, 잠수함이 필요한 지원업무가 가능한 선석에 잠수함을 할당하는 것이다. 반면, 한국 해군에서는 선석이동과 지원업무실패 최소화뿐만 아니라 부두 가용자원을 고려하여 잠수함이 요구하는 지원업무의 일정을 최대한 보장하면서, 선석을 할당한다. 따라서 본 논문은 한국 해군의 운용상황에 맞게 기존의 잠수함 선석 할당계획 문제를 확장하고, 부두가용자원의 특징과 잠수함 지원업무 일정의 조율을 포함하는 모형을 제시한다. 제안하는 모형은 선석 이동 횟수, 지원업무 지원 실패 횟수, 잠수함 지원업무 요구 일정 조율 횟수를 최소화하는 것을 목적으로 한다. 본 모형의 검증을 위해서 한국 해군의 상황을 바탕으로 고려한 가상의 데이터로 실험을 수행하여 기존의 잠수함 선석 할당계획 문제와 비교·분석한다.

포토마스크 펠리클 제조를 위한 Aluminum Frame 표면 세정공정 연구

김현태,김향란,김민수,이준,장성해,최인찬,박진구,Kim, Hyun-Tae,Kim, Hyang-Ran,Kim, Min-Su,Lee, Jun,Jang, Sung-Hae,Choi, In-Chan,Park, Jin-Goo 한국재료학회 2015 한국재료학회지 Vol.25 No.9

Pellicle is defined as a thin transparent film stretched over an aluminum (Al) frame that is glued on one side of a photomask. As semiconductor devices are pursuing higher levels of integration and higher resolution patterns, the cleaning of the Al flame surface is becoming a critical step because the contaminants on the Al flame can cause lithography exposure defects on the wafers. In order to remove these contaminants from the Al frame, a highly concentrated nitric acid ($HNO_3$) solution is used. However, it is difficult to fully remove them, which results in an increase in the Al surface roughness. In this paper, the pellicle frame cleaning is investigated using various cleaning solutions. When the mixture of sulfuric acid ($H_2SO_4$), hydrofluoric acid (HF), hydrogen peroxide ($H_2O_2$), and deionized water with ultrasonic is used, a high cleaning efficiency is achieved without $HNO_3$. Thus, this cleaning process is suitable for Al frame cleaning and it can also reduce the use of chemicals.

대청호에서 Geosmin, 2-MIB의 시간적·공간적 분포 특성

김교영 ( Kyo Young Kim ),간종범 ( Jong Beom Khan ),최인찬 ( In Chan Choi ),홍선화 ( Seoun Hwa Hong ),이준배 ( Jun Bae Lee ),이수형 ( Soo Hyung Lee ),이재정 ( Jay Jung Lee ) 한국환경농학회 2015 한국환경농학회지 Vol.34 No.1

BACKGROUND: Contamination of source water by odorous compounds are one of the problems related to the water quality management, especially in Korea where surface water is used as drinking water. Geosmin (1, 10-trans-dimethyl-trans-9-decalol) and 2-MIB (2-methyl isoborneol : 1,2,7,7-tetramethyl-exo-bicycloheptan-2-ol) are commonly recognized earthy-musty odor compounds produced by algae causing serious problems to the drinking water purification facilities. METHODS AND RESULTS: In this study, spatial and temporal distribution of the odor compounds, geosmin and 2-MIB were investigated along with the development of phytoplankton in the Daechung reservoir from July 2012 to October 2013. CONCLUSION: Concentrations and frequencys of detection of both compounds increased from April to October which were related to cyanobacterial bloom periods. However, concentrations of odor compounds were not related to the number of cyanobacteria. Concentrations of both cyanobacteria and geosmin showed similar trends with depth. Pearson correlation analyses showed that geosmin concentration exhibited significant correlation with the count of Anabaena macrospora and Aphanizomenon flos-aquae. On the other hand, 2-MIB concentration showed a significant correlation with the count of Anabaena smithii.

한국 고속철도의 효율적 중련편성 운영방법에 대한 연구

오석문(Seog-Moon Oh),손무성(Moo-Sung Sohn),최인찬(In-Chan Choi) 한국철도학회 2007 한국철도학회논문집 Vol.10 No.6

본 논문은 장래 도입되는 KTX2 고속차량을 이용한 중련편성 운영계획 최적화를 위한 방법론 제시를 목적으로 한다. 중련편성 운영계획 최적화를 위한 수리적 모형을 제시하고, 제안된 수리적 모형의 적용방안을 제시한다. 특히 확률적 수요를 고려한 모형을 수립하여, 계획수립 단계에서 수요의 확률적 요소를 보다 현실적으로 반영하고, 모형내에서 좌석 서비스 수준을 직접 조정할 수 있다. This paper presents a mathematical model for a double-fleet operation in Korean high speed rail (HSR). KORAIL has a plan to launch new HSR units in 2010, which are composed of 10 railcars. The double-fleet operation assigns a single-unit or two-unit fleet to a segment, accommodating demand fluctuation. The proposed model assumes stochastic demand and uses chance-constrained constraints to assure a preset service level. It can be used in the tactical planning stage of the rail management as it includes several real-world conditions, such as the capacities of the infra-structures and operational procedures. In the solution approach, the expected revenue in the objective function is linearized by using expected marginal revenue, and the chance-constrained constraints are linearized by assuming that demands are normally distributed. Subsequently, the model can be solved by a mixed-integer linear programming solver for small size problems. The test results of the model applied to Friday morning train schedules for one month sample data from KTX operation in 2004 shows that the proposed model could be utilized to determine the effectiveness of double-fleet operation, which could significantly increase the expected profit and seat utilization rates when properly maneuvered.