• 천문학회지
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• 제43권6호
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• pp.213-223
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• 2010

Young Stellar Objects (YSOs) in the early evolutionary stages are very embedded, and thus they emit most of their energy at long wavelengths such as far-infrared (FIR) and submillimeter (Submm). Therefore, the FIR observational data are very important to classify the accurate evolutionary stages of these embedded YSOs, and to better constrain their physical parameters in the dust continuum modeling. We selected 28 YSOs, which were detected in the AKARI Far-Infrared Surveyor (FIS), from the Spitzer c2d legacy YSO catalogs to test the effect of FIR fluxes on the classification of their evolutionary stages and on the constraining of envelope properties, internal luminosity, and UV strength of the Interstellar Radiation Field (ISRF). According to our test, one can mis-classify the evolutionary stages of YSOs, especially the very embedded ones if the FIR fluxes are not included. In addition, the total amount of heating of YSOs can be underestimated without the FIR observational data.

• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2004년도 추계학술대회
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• pp.11-19
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• 2004

글로벌 물류 환경하에 항공화물포워더는 신속한 배송, 실시간 위치 추적 및 상태관리 등의 복잡 다양해지고 있는 고객의 물류서비스 요구에 대응하기 위해 항공화물포워더들은 '포워더정보시스템(Forwarder Information System, FIS)'을 도입하고 있으나, 기존 포워더 정보시스템들은 단순 내부업무 관리 기능만을 지원하여 화물 수출입 관련 주체들의 정보공유 및 협업 등의 상호연계가 취약한 상태이다. 본 연구에서는 실제 포워더 및 관련 주체 대상 설문조사를 통하여 공급리드타임이 짧으며, 여러 관련주체들의 신속한 정보공유가 필수적인 특성을 지닌 포워더를 중심으로 한 항공물류 공급망을 분석하고, 공급망 관점에서 포워더정보시스템의 문제점 개선을 위해 현행 항공화물포워더의 업무와 포워더정보시스템를 분석하고, 개선방안 제시하고자 한다.

• Journal of Information Technology Applications and Management
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• 제21권3호
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• pp.19-33
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• 2014

Crowdsourcing is a popular tool for firms to harness external knowledge and resources. One variation of crowdsourcing entails the use of corporate channels in social network services (SNS) such as Twitter to hold public idea competitions. This study examined the role of feedback interaction between participants of idea competitions. More specifically, the study examined the impact of incentives to provide feedback on other participants' ideas. We found that idea competitions where explicit incentives were introduced to elicit crowdsourced feedback in the form of qualitative comments resulted in improved idea generation performance-with more ideas generated overall, and more ideas generated through participant collaborations, through increased comment-posting activities. Based on the findings, implications for theory and practice are discussed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
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• pp.3-5
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• 2005

대규모 기업용 GIS 데이터베이스를 구축하고 운용하기 위한 시스템의 도입이 수년간 꾸준히 진행되어 왔으며 전력분야에서도 전력망 GIS 구축이 활발히 수행되어 현재 현장으로 확장 단계에 있다. 현장 업무를 위하여 전체 도면정보에서 임의의 영역을 추출하여 현장에 활용함으로써 기존의 종이 도면을 대체하고 있는 추세로 정보 통신 기술의 발전으로 현장에서 무선으로 도면 정보를 전송함으로써 필드 GIS라는 사업 분야로 발전하고 있다. 본 연구에서는 시스템간의 직접적인 연동 및 전체 GIS 데이터베이스에서 현장용 설계/공사등의 업무에 필요한 특정 영역내의 설비, 속성, 각 설비간의 관계(Relationship) 및 계통 정보를 추출하여 표준화, 암호화함으로서 현장에서 설계/준공처리 업무를 수행한 후 결과를 본래의 GIS영역 내부로 통합하여 데이터의 무결성을 유지할 수 있는 시스템에 대한 연구로써 기존 매체간의 인터페이스를 통한 시스템간의 불완전한 매핑 문제와 데이터 보안문제를 해결하여 필드 정보시스템(FIS) 분야에 확장, 활용한 수 있는 기술에 대한 연구이다.

• 제어로봇시스템학회논문지
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• 제12권6호
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• pp.554-560
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• 2006

In this paper, we propose the topological map building method about unknown environment using the ultrasonic sensors. An ultrasonic sensor inherently has the range error due to the specular reflection. To decrease this error, we estimate the obstacle states(position and velocity) using the local minimum sensor values and Jacobian. Estimated states are used to avoid the obstacles and build the topological map similar to the type that human being memorizes an environment. When a mobile robot is faced with three problems(comer way, cross way and dead end), it senses the movable directions using FIS(Fuzzy Inference System). Among these directions, it can select the target direction using binary decision tree(Turn Side Selector). Proposed algorithm has been verified with three simulations and three implementations.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1274-1276
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• 1993

We have designed a multiple-valued fuzzy Approximate Analogical-Reseaning system (AARS). The system uses a similarity measure of fuzzy sets and a threshold of similarity ST to determine whether a rule should be fired, with a Modification Function inferred from the Similarity Measure to deduce a consequent. Multiple-valued basic fuzzy blocks are used to construct the system. A description of the system is presented to illustrate the operation of the schema. The results of simulations show that the system can perform about 3.5 x 106 inferences per second. Finally, we compare the system with Yamakawa's chip which is based on the Compositional Rule of Inference (CRI) with Mamdani's implication.

• 한국지능시스템학회논문지
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• 제21권6호
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• pp.686-691
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• 2011

This study is concerned with the identification of fuzzy models. To address the optimization of fuzzy model, we proposed an improved space search evolutionary algorithm (ISSA) which is realized with the combination of space search algorithm and Gaussian mutation. The proposed ISSA is exploited here as the optimization vehicle for the design of fuzzy models. Considering the design of fuzzy models, we developed a hybrid identification method using information granulation and the ISSA. Information granules are treated as collections of objects (e.g. data) brought together by the criteria of proximity, similarity, or functionality. The overall hybrid identification comes in the form of two optimization mechanisms: structure identification and parameter identification. The structure identification is supported by the ISSA and C-Means while the parameter estimation is realized via the ISSA and weighted least square error method. A suite of comparative studies show that the proposed model leads to better performance in comparison with some existing models.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 Asia Navigation Conference
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• pp.176-183
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• 2006

A novel intelligent anti-collision decision-making supporting system is addressed in this paper. To obtain precise anti-collision information capability, an innovative neurofuzzy network is proposed and applied. A fuzzy set interpretation is incorporated into the network design to handle imprecise information. A neural network architecture is used to train the parameters of the Fuzzy Inference System (FIS). The learning process is based on a hybrid learning algorithm and off-line training data. The training data are obtained by trial manoeuvre. This neurofuzzy network can be considered to be a self-learning system with the ability to learn new information adaptively without forgetting old knowledge. This supporting system can decrease ship operators' burden to deal with bridge data and help them to make a precise anti-collision decision.

• 동굴
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• 제88호
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• pp.45-50
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• 2008

It is rapidly increasing number using Hi-pass system passing through tollgate on the high way. However disabled people and man of merit have been excepted existing advantage of discount when they are using Hi-Pass. It is difficult to make a check an advantage when they are in a vehicle for using Hi-pass system technology in present. For solving this problem, we have fabricated virtual Hi-pass system combined fingerprint identification system (FIS) by AVR and fingerprint identification USB. We checked the chance of efficiency and utility in this system for getting a solution of conservative problem. And, it will be also used for entrance ticketing and transferring of cave tourism and so on.

• 생명과학회지
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• 제23권9호
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• pp.1088-1095
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• 2013

꽃게(Portunus trituberculatus)는 세계적으로 넓게 분포하는 갑각류로 모래나 돌멩이가 있는 해저에 서식한다. 본 연구는 서해의 4개 지점(영광, 태안, 소래, 연평도)에서 채집된 P. trituberculatus 281 개체에 대해 10 종류 microsatellite 좌위의 유전적 다형성을 조사하였다. 좌위당 대립유전자 수는 50-129개로 평균 69.5개였으며, 관측 및 예상 이형접합도는 각각 0.111-1.000 및 0.609-0.979 범위에 있었다. 좌위별 근친계수((Fis)는 -0.0207에서 0.8175 범위였다. 유전적 분화도(Fst)는 0.05보다 낮게 나타났는데, 이것은 4 꽃게 간의 유전적 분화(genetic differentiation)가 매우 낮은 이루어진 것으로 추정하게 한다. UPGMA을 이용한 계통도 작성에서도 4 그룹 간의 유전적 거리는 매우 가깝다는 결과를 얻을 수 있었다. 매우 높은 다형성과 집단간의 낮은 유전적 분화는 서해안의 꽃게 집단은 활발한 유전적 흐름(gene flow)이 일어나며, 그룹간 지리적 경계가 없음을 제시한다