• 제목/요약/키워드: Decision Supporting Model

검색결과 153건 처리시간 0.026초

딥러닝 기반 후두부 질환 내시경 영상판독 보조기술 개발 (Development of Deep Learning-based Clinical Decision Supporting Technique for Laryngeal Disease using Endoscopic Images)

  • 정인호;황영준;성의숙;남경원
    • 대한의용생체공학회:의공학회지
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    • 제43권2호
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    • pp.102-108
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    • 2022
  • Purpose: To propose a deep learning-based clinical decision support technique for laryngeal disease on epiglottis, tongue and vocal cords. Materials and Methods: A total of 873 laryngeal endoscopic images were acquired from the PACS database of Pusan N ational University Yangsan Hospital. and VGG16 model was applied with transfer learning and fine-tuning. Results: The values of precision, recall, accuracy and F1-score for test dataset were 0.94, 0.97, 0.95 and 0.95 for epiglottis images, 0.91, 1.00, 0.95 and 0.95 for tongue images, and 0.90, 0.64, 0.73 and 0.75 for vocal cord images, respectively. Conclusion: Experimental results demonstrated that the proposed model have a potential as a tool for decision-supporting of otolaryngologist during manual inspection of laryngeal endoscopic images.

전동기 제조업의 지식기반 공정계획 지원시스템에 관한 연구 (Knowledge-based Decision Support System for Process Planning in the Electric Motor Manufacturing)

  • 송정수;김재균;이재만
    • 산업공학
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    • 제11권2호
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    • pp.159-176
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    • 1998
  • In the motor manufacturing system with the properties of short delivery and order based production, the process plan is performed individually for each order by the expert of process plan after the completion of the detail design process to satisfy the specification to be required by customer. Also it is hard to establish the standard process plan in reality because part routings and operation times are varied for each order. Hence, the production planner has the problem that is hard to establish the production schedule releasing the job to the factory because there occurs the big difference between the real time to be completed the process plan and the time to be required by the production planner. In this paper, we study the decision supporting system for the process plan based on knowledge base concept. First, we represent the knowledge of process planner as a database model through the modified POI-Feature graph. Then we design and implement the decision supporting system imbedded in the heuristic algorithm in the client/server environment using the ORACLE relational database management system.

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충남지역 전략산업 지원사업의 투자우선순위 결정모형에 관한 연구 (A Study on a Decision Making Model of Prioritization of Supporting Policies for Regional Strategic Industries in Chung-nam)

  • 이보형;경종수;서상혁
    • 한국산학기술학회논문지
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    • 제11권9호
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    • pp.3196-3203
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    • 2010
  • 지역산업 지원사업은 지역환경의 여건과 제도적 변화와 더불어 지난 10년 동안 꾸준히 확대되어 왔다. 특히 정부주도의 산업정책에서 지역주도의 산업정책으로 패러다임이 변모하면서 지역 전략산업 및 특화산업 육성, 기술지원, 기업지원 사업 등 지역산업 육성을 위한 다양한 지원체계를 갖추게 되었다. 그동안 지역 내에서 다양하게 전개된 지역산업 지원사업의 성과와 효율성에 대한 필요성이 제기되면서 지역전략산업 육성정책을 중심으로 통합적 관점의 종합발전계획과 사업추진전략의 중요성이 부각되었다. 지역산업 지원사업의 총체적인 맥락에서 중복사업의 조정과 핵심역량을 집중적으로 관리하고 수요자 중심의 지원체계에 대한 프레임을 수립하는 것이 시급하다. 따라서 본 연구에서는 성과중심의 자율적 지역사업 포트폴리오를 구성하고 지역 전략산업의 특성 및 지원사업 유형에 따른 지역산업 육성 투자우선순위 도출을 위한 의사결정모형을 설정하여 검증하는데 그 목적이 있다. 본 연구는 충남전략산업 지원사업의 투자우선순위 의사결정을 위해 충남지역의 전략산업 및 지역산업 지원사업을 대상으로 AHP분석을 통해 전략산업과 지원사업유형별 투자우선순위를 도출하였다. 연구결과 전략산업 및 사업유형에 따른 중요도의 차이를 발견할 수 있었다. 즉, 사업유형의 우선순위가 전략산업에 따라 다르게 나타나는 것으로 볼 때 획일화된 기업지원 정책에서 벗어나 전략산업이나 기업규모에 따른 차별화된 기업지원 정책의 다양성이 요구된다는 것을 알 수 있다. 체계적인 정책수립 및 지원을 통해 기업의 경쟁력 강화 및 지역경제 활성화에 기여할 수 있도록 전략산업을 집중육성하고 차별화된 지원정책을 개발해야 할 것이다.

지역마케팅이 기업유치에 미치는 영향요인에 관한 연구 (A study on the Region Marketing Influencing on the Businesses Attraction)

  • 이승희;이홍희;남유진;김영수;도재홍
    • 디지털융복합연구
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    • 제8권3호
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    • pp.63-77
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    • 2010
  • 본 연구의 목적은 지역마케팅이 국내외 기업유치에 미치는 영향 요인을 살펴보는데 있다. 선행연구 및 과거사례를 근거로 본 연구를 위한 가설을 설정하였고, 도시태도 및 투자결정에 영향을 미치는 변수를 경영환경, 생활환경, 시장성, 투자지원환경으로 분류하여 분석하였다. 그 결과 시장성과 투자지원환경 도시태도와 투자결정에 정의(+)의 결과를 보였으며, 도시태도 역시 투자결정에 정의(+)결과를 보였다.

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Optimization-Based Buyer-Supplier Price Negotiation: Supporting Buyer's Scenarios with Suppler Selection

  • Lee, Pyoungsoo;Jeon, Dong-Han;Seo, Yong-Won
    • 유통과학연구
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    • 제15권6호
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    • pp.37-46
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    • 2017
  • Purpose - The paper aims to propose an optimization model for supporting the buyer-seller negotiations. We consider the price, quality, and delivery as evaluation criteria, also recognized as objectives for negotiation. Research design, data, and methodology - The methodology used in this paper involves the input-oriented DEA with the inverse optimization. Under the existence of several potential suppliers, the price would be considered to be the decision variable to conclude the negotiation so as to meet the desired level of the quality and delivery. The data set for six suppliers with three criteria is examined by the proposed approach. Results - We present the decision aid model by displaying the price spectrum as the changes of desired output levels. It overcomes the shortcomings from previous researches mainly based on the discrete types of scenario generations. This approach shows that the obtained results help the buyer understand the trade-offs between price and performance when he/she considers the negotiation. Conclusions - The paper contributes to the numerical models for buyer-supplier negotiation in that the model for the supplier evaluation and selection is closely linked with the model for negotiation. In addition, it eliminates the unrealistic negotiation strategy, and provides the negotiation strategies that the buyer would not shift the burden on suppliers by maintaining the current efficiency.

A Decision-Supporting Model for Rehabilitation of Old Water Distribution Systems

  • Kim, Joong-Hoon;Geem, Zong-Woo;Lee, Hyun-dong;Kim, Seong-Han
    • Korean Journal of Hydrosciences
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    • 제8권
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    • pp.31-40
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    • 1997
  • Flow carrying capacity of water distribution systems is getting reduced by deterioration of pipes in the systems. The objective of this paper is to present a managerial decision-making model for the rehabilitation of water distribution systems with a mininum cost. The decisions made by the model also satisfy the requirements for discharge and pressure at demanding nodes in the systems. Replacement cost, pipe break repair cost, and pumping cost are considered in the economic evaluation of the decision along with the break rate and the interest rate to determine the optimal replacement time for each pipe. Then, the hydraulic integrity of the water distribution system is checked for the decision by a pipe network simulator, KYPIPE, if discharge and pressure requirements are satisfied. In case the system does not satisfy the hydraulic requirements, the decision made for the optimal replacement time is revised until the requirments are satisfied. The model is well applied to an existing water distribution system, the Seoul Metropolitan Water Supply System (1st Phase). The results show that the decisions for the replacement time determined by the economic analysis are accepted as optimal and hydraulic integrity of the system is in good condition.

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자치적 방어 시스템을 위한 모델베이스기반 설계 (Model-based Design for Autonomous Defense Systmes)

  • 이종근
    • 한국시뮬레이션학회논문지
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    • 제8권1호
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    • pp.89-99
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    • 1999
  • The major objective of this research is to propose a design architecture for autonomous defense systems for supporting highly intelligent behavior by combining decision, perception, and action components. Systems with such high levels of autonomy are critical for advanced battlefield missions. By integrating a plenty of advanced modeling concepts such as system entity structure, endomorphic modeling, engine-based modeling, and hierarchical encapsulation & abstraction principle, we have proposed four layered design methodology for autonomous defense systems that can support an intelligent behavior under the complicated and unstable warfare. Proposed methodology has been successfully applied to a design of autonomous tank systems capable of supporting the autonomous planning, sensing, control, and diagnosis.

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조직의 지식 획득: 퍼지 GSS 프레임웍 (Organizational Knowledge Acquisition: A Fuzzy GSS Framework)

  • 이재남
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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    • pp.111-120
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    • 1999
  • Although the concept of viewing knowledge as a critical resource has been widely accepted in prior studies, it is not fully understood how to acquire available knowledge in order to improve organizational effectiveness. However, it si sure that organizational knowledge management should pursuit the achievement of the business goal by delivering relevant and useful information to the right person at the right time. Group Support System (GSS) can play an important role to transfer scatter information into meaningful business knowledge for supporting strategic corporate decision-making. This study proposes a fuzzy GSS framework for acquiring workgroup knowledge from individual memory and aggregating workgroup knowledge to organizational knowledge. This study also proposes an architecture to support the fuzzy GSS framework. The architecture consists of user agents, information management agents, and a fuzzy model manager. To illustrate how the fuzzy GSS framework can be used to support the whole process of organization knowledge acquisition, an Internet-based GSS was developed and applied in a marketing decision process. It showed that the framework was effective for acquiring organizational knowledge.

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R&D 경제적 가치평가를 통한 의사결정 정보지원 시스템에 관한 연구 (A Study on the Information Supporting System for R&D Decision Making using Technology Valuation Model)

  • 유선희
    • 정보관리연구
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    • 제33권4호
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    • pp.107-128
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    • 2002
  • 이 연구는 R&D 투자에 대한 신속한 의사결정을 지원하고 R&D의 경제적 성과를 극대화시키기 위하여 R&D 기획 초기부터 기술의 경제적 수익에 대한 개념을 도입하고, 개발 완료된 R&D 기술의 상용화에 이르기까지 의사결정에 필요한 정보를 제공하는 시스템에 관한 것이다. 이 연구는 R&D 의사결정의 주요 경로를 파악하고, 단계별로 소요되는 정보에 대한 분석과 지식정보의 지원을 위하여 KISTI 과학기술 데이터 베이스 및 다른 공개용 정보원과의 원활한 연계 및 기술가치평가 정보 지원으로 구성되어 있다. 특히, 경제적 성과를 추정하기 위한 기술가치평가 정보 지원은 단계별 근거가 되는 지식정보를 지원하는 KISTI 기술가치평가 모델을 접목함으로써 좀더 객관적인 추정과 의사결정을 지원하도록 하였다.

말기 암환자 가족의 대리적 연명의료 결정에 대한 치료결정 후회 및 심리적 스트레스: 경로모형 분석 (Family Surrogates' Decision Regret and Psychological Stress about End-of-Life Cancer Treatments: Path Analysis)

  • 김수현
    • 대한간호학회지
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    • 제48권5호
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    • pp.578-587
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    • 2018
  • Purpose: This study aimed to understand the mechanisms of decision regret and stress of family surrogates' end-of-life decision making using an exploratory path model. In particular, the research identified the direct effects of perceptions of uncertainty and effective decisions on decision regret and stress, and examined the indirect effects of being informed, having clear values, and being supported for decision regret and the stress of end-of-life decision making through the mediating variables of perceptions of uncertainty and effective decisions. Methods: Data were collected from 102 family surrogates who had participated in end-of-life decision making for patients with terminal cancer in a tertiary hospital. Results: Perception of effective decisions was a significant direct predictor of decision regret, and uncertainty was a significant predictor of stress among the participants. Being informed, having clear values, and being supported had a significant indirect influence on decision regret through the perception of effective decisions among family surrogates. However, only having clear values had a significant indirect influence on stress through the perception of uncertainty. The model explained 63.0% of decision regret and 20.0% of stress among the participants and showed a good fit with the data, ${\chi}^2=12.40$ (df=8, p=.134), TLI=.97, and RMSEA=.07. Conclusion: Nurses can support family surrogates in end-of-life decision-making processes to decrease their decision regret by providing information about end-of-life care choices, clarifying personal values, and supporting the decision-making process, and to relieve their stress by facilitating the clarification of personal values.