• 제목/요약/키워드: economic uncertainty

검색결과 432건 처리시간 0.026초

갑상선 질환의 진단을 위한 지식기반 의료진단 시스템의 개발 (Development a Knowledge-based Medical Diagnosing System for Thyroid Disorders)

  • 조권익;김성희;노재범
    • 산업공학
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    • 제3권2호
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    • pp.1-11
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    • 1990
  • In this study, we will present a knowledge-based consulting system, called THYCONS, for diagnosing thyroid disorders. It has been developed to make the knowledge and expertise of the human expert more widely available, therefore achieving a high-quality diagnosis. Frames will be used to represent the medical knowledge of thyroid disorders, and several rules are attached in each slot of a frame. The uncertainty of diagnostic processes is manipulated by the subjective Bayesian method under the assumption that the pieces of evidence are conditionally independent. Searching for the group of diagnostic tests to be carried out and their optimum sequences will be established in order to infer a more correct diagnosis on the basis of maximum information gain with cost and time restrictions. Additionally. differential diagnosis will be carried out based on the information gained.

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Allocation of aircraft under demand by Wets' approach to stochastic programs with simple recourse

  • Sung, Chang-Sup
    • 한국경영과학회지
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    • 제4권1호
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    • pp.59-64
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    • 1979
  • The application of optimization techniques to the planning of industrial, economic, administrative and military activities with random technological coefficients has been extensively studied in the literature. Stochastic (linear) programs with simple recourse essentially model the allocation of scarce resources under uncertainty with linear penalties associated with shortages or surplus. This work on a problem with a discrete random resource vector, "The allocation of aircraft under uncertain demand" given in (1), is easily and efficiently handled by the application of the recently developed Wets' algorithm (8) for solving stochastic programs with simple recourse, which approves that such class of stochastic problems can be solved with the same efficiency as solving linear programs of the same size. It is known that the algorithm is also applicable to stochastic programs with continuous random demands for their approximate solutions.

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임시·일용직 증가 현상의 원인 - 수요 측면을 중심으로 - (The Cause of Increase in the Temporary In Korea: Labor Demand Approach)

  • 김용성
    • 노동경제논집
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    • 제31권1호
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    • pp.1-27
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    • 2008
  • 본 연구는 최근 노동시장의 특정인 임시 일용직 증가의 원인을 분석하였다. 임시 일용직 증가 원인으로 기업의 수익성, 시장 변동성, 근로자의 자질에 대한 불확실성 측면에서 살펴보았다. 결과에 따르면 제조업의 경우 기업의 수익성과 건설업과 도소매업은 상품수요의 변동성과 관련이 깊은 것으로 나타났다. 한편 1990년대 이후 증가한 교육의 양적 팽창이 질적 향상을 수반하지 못한 결과 근로자의 자질에 대한 불확실성을 증가시키면서 기업은 상용직보다 임시 일용직을 선호하게 되었을 가능성도 간접적으로 확인되었다.

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플렉스 타임제(Flextime system) 근로자의 고용보험적용에 관한 연구 (A Study on the application of unemployment insurance of flextime system worker)

  • 임웅석;김형준
    • 대한안전경영과학회지
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    • 제8권1호
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    • pp.165-179
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    • 2006
  • Flextime system labor problem appeared by social issue going through a late 97s economic crisis. The most important thing among gravity is that act for factor who do to magnify gulf between rich and poor because do so that may polarize labor market at central part and neighborhood and makes preservation of society integration hardly social economy enemy of flextime system worker's spread. Furthermore, new economy surrounding has attribute that deepen uncertainty social bipolarization according as order by 21th century information-oriented society, globalization, knowledge base economy. Therefore, role of the country that control spread of flextime system in fixed level is more important first of all and application of employment insurance may do that have important meaning and social deliquescence.

건설업 근로자의 직무스트레스가 건설공사의 하자에 미치는 영향 (A Study on the effects of the Job-stress influenced to the construction defects)

  • 심민영;박해천;이경훈;조상훈
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2009년도 추계학술대회
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    • pp.483-493
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    • 2009
  • The global economic recession caused a great change of the labor environment such as restructurings and unstable employment. This facts brought about an increase in sense of rivalry, over workload, job uncertainty and lowering of self-confidence. Due to the fact that the work process and employing system in construction field is little differ from normal industries, especially, labors working in construction field are much exposed to the job stress. On this study, we survey construction-field labors and made an analysis of the gathered data through the statistic method to reveal what kind of job-stress factors influence on the defects of construction works. As the result, we investigated the truth of the induction factors which cause the job-stress in costruction field and proposed an alternative plan for an effective job-stress management which make the defect rate low.

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RFID Implementation Readiness Model : Impact of Technology, Human, Vender, and Task Factors

  • Lim, Se-Hun
    • 디지털융복합연구
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    • 제9권1호
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    • pp.71-87
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    • 2011
  • Currently, many companies are interested in (Radio Frequency Identification (RFID). Nonetheless, technical imperfection and the uncertainty of Return on Investment (ROD is discouraging the companies' intention to implement RFID. Accordingly, while a number of companies concede the efficiency of RFID, few of them expresses enthusiasm, making a rain check to adopt RFID. Moreover, the recent economic depression has down-sized the companies' investment on Information Technology (IT), subsequently hindering RFID implementation. In adopting RFID, the collaboration of supply chain is the most importance factor. Therefore, in implementing RFID, many companies reinforced collaboration of supply chain. Therefore, this study will focus on performing an analysis on several factors which influence the intention to adoption of RFID, such as the human factor, technology factor, vender factor and task factor. The results of this study will provide useful guidelines for RFID adoption strategy to Korean companies.

Simulation model-based evaluation of a survey program with reference to risk analysis

  • Chang, Ki-Yoon;Pak, Son-Il
    • 대한수의학회지
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    • 제46권2호
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    • pp.159-164
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    • 2006
  • A stochastic simulation model incorporated with Reed-Frost approach was derived for evaluating diagnostic performance of a test used for a screening program of an infectious disease. The Reed-Frost model was used to characterize the within-herd spread of the disease using a hypothetical example. Specifically, simulation model was aimed to estimate the number infected animals in an infected herd, in which imperfect serologic tests are performed on samples taken from herds and to illustrate better interpreting survey results at herd-level when uncertainty inevitably exists. From a risk analysis point of view, model output could be appropriate in developing economic impact assessment models requiring probabilistic estimates of herd-level performance in susceptible populations. The authors emphasize the importance of knowing the herd-level diagnostic performance, especially in performing emergency surveys in which immediate control measures should be taken following the survey. In this context this model could be used in evaluating efficacy of a survey program and monitoring infection status in the area concerned.

지반조사결과에서 설계변수의 결정문제 -지반특성치 산정을 중심으로- (Determination of Design Parameters from Ground Investigation Results -Focus on geotechnical characteristic values-)

  • 윤길림;윤여원;김홍연
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2008년도 추계 학술발표회
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    • pp.126-133
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    • 2008
  • Geotechnical limit state design methods; LRFD of North America is an approach that estimates resistance using design model and then multiplies resistance factor by calculated resistance to reflect the uncertainty of geomaterials and design models; whereas, Eurocode of the Europe employs the partial resistance factor applied directly to each variable in the resistance equation that individual soil properties such as cohesion and angle of internal friction are applied. This discussion paper is a study on characteristic value which has globally been argued through processing of development of Eurocode 7 for geotechnical design even to the present. Estimating the characteristic value of soil properties affects not only determination of design value applied directly to design of geotechnical structures, but also economic feasibility and stability of the structures.

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Inference and Forecasting Based on the Phillips Curve

  • KIM, KUN HO;PARK, SUNA
    • KDI Journal of Economic Policy
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    • 제38권2호
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    • pp.1-20
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    • 2016
  • In this paper, we conduct uniform inference of two widely used versions of the Phillips curve, specifically the random-walk Phillips curve and the New-Keynesian Phillips curve (NKPC). For both specifications, we propose a potentially time-varying natural unemployment (NAIRU) to address the uncertainty surrounding the inflation-unemployment trade-off. The inference is conducted through the construction of what is known as the uniform confidence band (UCB). The proposed methodology is then applied to point-ahead inflation forecasting for the Korean economy. This paper finds that the forecasts can benefit from conducting UCB-based inference and that the inference results have important policy implications.

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시스템다이내믹스와 복합 리얼옵션 기반 신·재생에너지 기술가치평가 (On Renewable Energy Technology Valuation Using System Dynamics and Compound Real Options)

  • 전찬웅;신준석
    • 대한산업공학회지
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    • 제40권2호
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    • pp.195-204
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    • 2014
  • The transition from fossil to renewable energy is inevitable due to fossil depletion. So, Renewable energy is very important for energy security and economic growth although it's R&D is long-term and high risky project. We propose new valuation method which combined system dynamics and compound real option method for long-term and high risk projects such as renewable energy. This method can show dynamic valuation results for the complex causal interaction and be easy for Monte-Carlo simulation to estimate volatility. And it can reflect the value of flexible decision for uncertainty. We applied the empirical analysis for Korea's photovoltaic industry by using this method. As results by empirical analysis, photovoltaic's R&D has high valuation using this method compared by traditional valuation methods such as DCF.