• 전자공학회논문지B
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• 제31B권5호
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• pp.141-148
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• 1994

Both the neural network classifier utilizing multi-layer perceptron and the linear tree classifier composed of hierarchically structured linear discriminating functions can form arbitrarily complex decision boundaries in the feature space and have very similar decision making processes. In this paper, a new method for automatically choosing the number of neurons in the hidden layers and for initalzing the connection weights between the layres and its supporting theory are presented by mapping the sequential structure of the linear tree classifier to the parallel structure of the neural networks having one or two hidden layers. Experimental results on the real data obtained from the military ship images show that this method is effective, and that three exists no siginificant difference in the classification acuracy of both classifiers.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2007년도 춘계학술대회
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• pp.131-138
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• 2007

Distributed Group Decision Support System (GDSS) is in the stage between exploration and implementation, there is not unified constructing model. As computer software and hardware, network technique develop, especially the development of object-oriented programming, distributed process, and artificial intelligence, this makes it possible the practical and valid implementation of distributed GDSS. With a view of emphasizing and solving process-supporting, this article discusses how to use the key technologies of network, distributed process, artificial intelligence and man-machine mutual interface, to implement more adaptable, more flexible, and more valid GDSS than before.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.485-492
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• 2020

Information on the energy consumption of buildings that can be obtained through conventional methods is limited. Therefore, this study aims to develop a model that can support decision making about building facility management through digital transformation technologies. Through the IoT sensor, the building's energy data and indoor air quality data are collected, and the monitored data is visualized through the ELK Stack and produced as a dashboard. In addition, the target building is photographed with a 360-degree camera and maps using a tool to create a 360-degree tour. Using such digital transformation technologies, users of buildings can obtain various information in real time without visiting buildings directly. This can lead to changes in actions or actions for building management, supporting facility management decisions, and consequently reducing building energy consumption.

• 통상정보연구
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• 제8권3호
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• pp.3-21
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• 2006

This study aims to explore the developing strategies of knowledge based industry in ChunChon Area. This study suggests several strategies for promoting local development in Chunchon Area as follows ; first, building of local innovation system in chunchon area and convergence and diffusion of knowledge based industries. second, making of industrial environment suitable to developing knowledge based industries. third, the establishment of overall industrial supporting systems. fourth, expansion of industrial infra and prevention of the brain drain. fifth, transformation of industrial complex into innovation clusters. The result of this study will be useful for the chief executives officers to make more rational decision making for industrial developing strategies is related to the Knowledge based Industries. The paper also strives to provoke debate in this area with to encouraging further research on the topic.

• 한국IT서비스학회지
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• 제11권1호
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• pp.83-92
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• 2012

The development of science and technology oriented knowledge society accelerates the convergence between scientific theory and industrial technology and increases the complexity problem of social and economic sectors. These cause the difficulty of securing the reliability and objectivity of science and technology policy. These also are barriers of balanced evaluation between rational science and technology policy making, management, and policy coordination. In this regard, Advanced countries in science and technology develops policy support system and promotes the program of evidence-based SciSIP(Science of Science and Innovation policy) together. This paper introduces a new approach developing science service of science and technology policy utilizing business intelligence technology in Korea. Also, it proposes the integration method of policy knowledge base and component-based service supporting S&T policy decision-making process and introduces services case studies.

• 농촌지도와개발
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• 제11권2호
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• pp.359-369
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• 2004

The objectives of this study were: a) to classify the rural women's roles according to degree of participation in farming and decision making, b) to find out the needs for support policy considering the role types, and c) to put forward the programs for supporting rural women according to their role types. This study was based on a literature review, empirical analysis, and opinions from a panel of experts and professionals including rural women in Korea. Based on the findings from this study, the following suggestions should be considered for supporting the rural women according to the types of their roles: 1) Government should enhance the support system for rural women in terms of policy and social system. Careful considerations on the status of woman farmers according to their role types should be reflected in the policy and social system. 2) Family cultural reform, farming helper system, reducing the housework burden, supporting educational expenses, and providing more opportunities for closer contact to the community actions and educational programs should be included in the support system. 3) Rural women's participation in various community action and educational programs should be encouraged by providing diverse incentives, appropriate information and educational supports designed to support woman farmers.

• 해양환경안전학회지
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• 제10권1호
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• pp.23-28
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• 2004

지금까지 정부는 안전관리체제의 구축과 정착을 위해 다각적으로 사업을 추진하여 왔다. 이제는 기업에서 회사 실정에 맞게 안전관리체제가 잘 운영되고 있는 지를 자체 진단하고 평가하는 과정이 필요하겠다. 따라서 이 연구에서는 안전관리체제를 모니터링하고 운영성과를 평가할 수 있는 모형 개발과 안전관리체제를 운영할 수 있는 실행지원 모듈 개발 방향을 제시하였다. 또한 주로 사용하게 될 경영과학 분야의 주요 의사결정 방법 하나인 AHP 기법을 검토했다.

• 한국정보전자통신기술학회논문지
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• 제11권5호
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• pp.521-530
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• 2018

본 논문에서 제안하는 "농산물 생산성 향상을 위한 딥러닝 기반 농업 의사결정 시스템"에서는 정밀농업을 지원하는 농장의 위치 정보를 기반으로 기상 정보를 수집하고, 수집한 기상 정보와 농작물의 실시간 데이터를 이용하여, 작물의 현재 상태를 예측하고 그 결과를 농장 관리인에게 알려준다. 제안하는 시스템은 첫째, 정밀농업을 지원하는 농장의 위치 정보를 기반으로 기상 정보를 수집하는 ICM(Information Collection System)을 설계하고, 둘째, 딥러닝 알고리즘을 기반으로 현재 날씨에 따라 농장 토지의 탄소, 수소, 산소, 질소, 수분 함유량이 재배하고 있는 작물에 적합특정 작물을 재배하기 좋은 상태인지 판단하는 DRCM(Deep learning based Risk Calculation Module)을 설계하고, 셋째, DRCM의 결과를 기반으로 사용자에게 작물의 상태를 점검할 것을 알려주는 메시지를 전송하는 RNM(Risk Notification Module)을 설계한다. 제안하는 시스템은 기존의 시스템과 비교하였을 때, 데이터양의 증가로 인해 발생하는 정확도 감소 비율이 낮고, 분석 단계에 비지도학습을 적용하기 때문에 안정성을 향상 시킬 수 있다. 결과적으로 농장 데이터 분석 성공률이 약 5.15%가량 향상되었고, 환경 변화에 따른 작물 성장의 위험한 상태정보 다양하게 적용하였을 때, 위험한 상태정보에 대하여 상세하게 추론할 수 있었다. 이는 다양한 내 외부 환경으로부터 발생할 수 있는 작물의 질병을 미연에 예방할 수 있고, 작물이 성장하는데 최적화된 환경을 제공할 수 있는 효과를 나타낸다.

• 지능정보연구
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• 제12권4호
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• pp.73-90
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• 2006

인터넷을 통한 온라인 구매에 소비자들은 현 탐색엔진 및 웹 구조의 한계와 의사결정 도구의 부족으로 많은 어려움을 겪는다. 이 논문은 인터넷 쇼핑의 상황에서 소비자가 결정해야 하는 의사결정 문제를 상정하고 지능형 에이전트 구축을 통하여 그 의사결정 과정을 돕는 의사결정의 틀을 제시한다. 이 에이전트는 의미 웹 환경에서 한정도메인 제약식 프로그래밍을 추론엔진으로 삼아 의사결정을 돕는다. 이를 통해 의미웹과 제약식 프로그래밍의 두 기술의 결합이 인터넷 쇼핑 시 소비자가 겪게 되는 어려움을 어떻게 해결하는지를 제시한다.

• Journal of Yeungnam Medical Science
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• 제38권4호
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• pp.356-360
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• 2021

Treating cardiac injuries following blunt trauma to the chest requires thorough examination, accurate diagnosis, and therapeutic plan. We present two cases; pulmonary vein rupture and left atrial appendage laceration, both as a result of blunt chest trauma. Through these cases, our team learned the importance of maintaining hemodynamic stability during the examination of injured cardiac structures. And based on the comprehensive cardiac examination, a decision to surgically intervene with median sternotomy via cardiopulmonary bypass was made, saving lives of the patient. This report introduces how such decision was made based on what supporting evidence and the diagnostic process leading to the initiation of surgical intervention. This report may help with decision-making process when confronted by blunt cardiac injury patients who need cardiac exploration.