• 제목/요약/키워드: DSS System

검색결과 201건 처리시간 0.022초

사장체질 의사결정시스템 구축을 위한 체질 진단 자료를 이용한 예비연구 (Preliminary Study to Establish a Decision Support System in Sasang Constitutional Medicine with Clinical Data)

  • 진희정;문진석;고성호;구임회;이시우;이도헌;송미영;김종열
    • 한국한의학연구원논문집
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    • 제13권2호통권20호
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    • pp.75-81
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    • 2007
  • The need for the study of the revealing Sasang constitution at scientific term is increasing as the application of this discipline to the patient produces more accurate result. To obtain scientific evidence of Sasang constitution, it is crucial to analyze accumulated clinical information and associate them to the biological indices that may classify Sasang constitution. Thus, the analysis of clinical information is the most important stepping stone to go toward to the stage of developing model and decision support system (DSS) for classifying Sasang constitution. This study is a preliminary analysis of 1,109 samples collected with 171 clinical indices. To find meaningful clinical indices for classifying Sasang constitutional medicine, we applied decision tree model for them. The skin of 66.5% within whole Taeeumin is thick and non feeble. In the case of 69.8% within whole Soyangin, the skin is non feeble and slippery. In the case of 64.4% within whole Soeumin. they have feeble skin. Therefore, the property of skin can be suggested to be more important than any other index for the classification of Sasang constitution.

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농촌유역의 비점원 오염 수질관리를 위한 인공습지 설계모형 (Design Model of Constructed Wetlands for Water Quality Management of Non-point Source Pollution in Rural Watersheds)

  • 최인욱;권순국
    • 한국농공학회지
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    • 제44권5호
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    • pp.96-105
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    • 2002
  • As an useful water purification system for non-point source pollution in rural watersheds, interests in constructed wetlands are growing at home and abroad. It is well known that constructed wetlands are easily installed, no special managemental needs, and more flexible at fluctuating influent loads. They have a capacity for purification against nutrient materials such as phosphorus and nitrogen causing eutrophication of lentic water bodies. The Constructed Wetland Design Model (CWDM), developed through this study is consisted mainly of Database System, Runoff-discharge Prediction Submodel, Water Quality Prediction Submodel, and Area Assessment Submodel. The Database System includes data of watershed, discharge, water quality, pollution source, and design factors for the constructed wetland. It supplies data when predicting water quality and calculating the required areas of constructed wetlands. For the assessment of design flow, the GWLF (Generalized Watershed Loading Function) is used, and for water quality prediction in streams estimating influent pollutant load, Water Quality Prediction Submodel, that is a submodel of DSS-WQMRA model developed by previous works is amended. The calculation of the required areas of constructed wetlands is achieved using effluent target concentrations and area calculation equations that developed from the monitoring results in the United States. The CWDM is applied to Bokha watershed to appraise its application by assessing design flow and predicting water quality. Its application is performed through two calculations: one is to achieve each target effluent concentrations of BOD, SS, T-N and T-P, the other is to achieve overall target effluent concentrations. To prove the validity of the model, a comparison of unit removal rates between the calculated one from this study and the monitoring result from existing wetlands in Korea, Japan and United States was made. As a result, the CWDM could be very useful design tool for the constructed wetland in rural watersheds and for the non-point source pollution management.

BestChoice SRM: 전자 조달을 위한 단순하며 실질적인 공급사 관계 관리 시스템 (BestChoice SRM: A Simple and Practical Supplier Relationship Management System for e-Procurement)

  • 이동주;강승석;이상근;김영곤;장준호;이상구
    • 한국전자거래학회지
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    • 제12권3호
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    • pp.177-191
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    • 2007
  • 공급사 관계 관리 시스템은 기업 내 조달 프로세스의 효율화를 위해 중요하다. 이미 개발된 공급사 관계 관리 시스템이 있지만, 이들은 공급사 관계 관리 시스템을 도입하고자 하는 기업에게 구매 프로세스와 시스템의 변경을 요구하여 기업의 입장에서 이를 쉽게 수용하지 못하게 한다. 이를 해결하기 위해 본 논문에서는 기업의 구매 프로세스와 시스템의 변경을 최소화 할 수 있는 단순한 시스템 구조를 제안하고, 동시에 변경을 최소화하기 위하여 공급사 관계 관리 시스템의 필수 기능을 정의하고 이를 구현함을 보인다. 시장 변화에 따른 효율적 공급사 평가를 위해서 본 연구 수행에 앞선 연구 결과로 구매 과정에서 발생하는 공급사 평가를 위한 의사 결정 지원 시스템인 BestChoice가 가지는 공급사 평가 알고리즘과 공급사 평가에 대한 효율적 분석 지원을 위한 시각적 분석 방법을 도입하였다. 이와 합께 템플릿 기반 세분화 기법을 도입하여 시장 변화에 따른 공급사의 세분화를 쉽게 하여 공급사 평가 및 관리 정책의 변화를 자유롭게 하였다. 실재 구매 대행 기업에 본 연구 결과를 적용한 공급사 관계 관리 시스템을 구축함으로써 구매 프로세스나 시스템의 변경 없이 쉽게 시스템 도입이 이루어질 수 있음을 보였다.

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고성능 뷰 관리르 지원하는 새로운 데이터 웨어하우징 시스템 구조 (A New Data Warehousing System Architecture Supporting High Performance View Maintenance)

  • 김점수;이도헌;이동익
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제26권10호
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    • pp.1156-1166
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    • 1999
  • 의사결정 시스템은 전사적인 의사결정과 전략적 정보수집을 위해 거대한 량의 정보를 빠른 시간내에 제공할 것을 요구한다. 데이타 웨어하우스는 이러한 정보를 신속히 제공하기 위해 여러 지역 데이타베이스로부터 필요한 정보를 사전에 추출하고 가공 및 통합하여 별도의 저장공간에 저장한다. 일반적으로, 웨어하우스 내의 정보는 지역 데이타베이스에 저장된 정보에 대한 실체화된 뷰로서 간주하며 지역 데이타의 변경에 따라 일관성을 유지하도록 반영해야 한다. 본 논문에서는 일관성을 유지하기 위해 정보 공유가 가능한 데이타 웨어하우스 시스템의 구조와 비-보상 실체 뷰 관리 기법을 제안한다. 본 논문에서 제안한 데이타 웨어하우스 시스템의 구조는 지역 데이타베이스에서 추출된 정보를 관리하는 별도의 지역 정보 관리자를 두어 뷰 관리자들 간의 정보 공유가 가능하게 한다. 비-보상 실체 뷰 관리 기법은 지역 데이타 변경 사건에 따른 뷰 관리 시 다른 사건에 의해 영향을 받지 않도록 하기 때문에 기본의 사전 보상이나 나중 보상 기법과는 달리 추가적인 질의 처리를 요구하지 않는 기법이다.Abstract A decision support system(DSS) commonly requires fast access to tremendous volume of information. A data warehouse is a database storing the information that is extracted, filtered and integrated from several relevant local databases to reply upon aggregated queries. The information stored in the data warehouse can be regarded as materialized views. The materialized view has to be modified according to the change of the corresponding local databases to preserve the data consistency. In this paper, we propose a data warehousing system architecture allowing information sharing (DAWINS), and a non-compensating materialized view maintenance algorithm(NCA). DAWINS architecture allows relevant information to be shared by individual view managers with local data manager for each local database. Unlikely to the pre- or post-compensating algorithms, which are required to remove the effects of some events to other view in the process of view maintenance, NCA does not require any additional query processing, since a local data manager in DAWINS already maintains the effects of update events occurring in local systems.

FTS 방식이 전력증폭기의 성능에 미치는 영향 (Effects of the Method of FTSs on the Performance of HPAs)

  • 강상기
    • 한국위성정보통신학회논문지
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    • 제8권1호
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    • pp.8-13
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    • 2013
  • 다양하고 많은 발사체를 효과적으로 운영하기 위해서 우리의 실정에 맞는 차세대 FTS(Flight Termination System)를 선정해서 개발할 필요가 있다. 차세대 FTS 방식으로는 Standard 톤, Secure 톤, MHA(Modified High Alphabet), EFTS(Enhanced FTS) 그리고 DSSS(Direct Sequence Spread Spectrum)가 검토되고 있다. FTS는 사용 목적 때문에 우수한 성능과 높은 신뢰성을 필요로 하며, 소요 수량이 적은 반면에 가격은 고가이다. 때문에 차세대 FTS의 방식을 선정해서 새로운 FTS를 도입하더라도 현재 사용하고 있는 시스템의 주요 구성품의 재사용 가능성 여부도 검토할 필요가 있다. 특히 송신기의 주요 구성품인 전력증폭기는 반드시 재사용 가능성을 검토할 필요가 있다. 신호의 CCDF(Complementary Cumulative Distribution Function)는 신호의 평균전력에 대한 첨두전력의 비를 빈도로 나타낸 것이므로 전력증폭기나 송신기의 성능을 나타낼 때 주로 사용한다. 본 논문에서는 전력증폭기의 재사용 가능성을 검토하는 방법으로 송신신호의 CCDF를 시뮬레이션해서 비교하는 방법을 이용하였다. CCDF 시뮬레이션 결과 Standard 톤의 PEP(Peak Envelop Power)는 0.21dB로 계산되었으며, Secure 톤과 MHA은 송신신호가 Standard 톤과 같기 때문에 동일한 PEP를 갖는다. CPFSK 변조를 이용하는 EFTS의 경우에 PEP는 1.81dB 였으며, BPSK 변조를 이용하는 DSSS의 경우에는 2.6dB로 계산되었다.

시스템다이내믹스를 활용한 청소년 비만의 비선형 시뮬레이션: 청소년 건강행태 온라인 조사 자료 활용 (Non-linear System Dynamics Simulation Modeling of Adolescent Obesity: Using Korea Youth Risk Behavior Web-based Survey)

  • 이한나;박은숙;유재국;윤은경
    • 대한간호학회지
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    • 제45권5호
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    • pp.723-732
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    • 2015
  • Purpose: The purpose of this study was to develop a system dynamics model for adolescent obesity in Korea that could be used for obesity policy analysis. Methods: On the basis of the casual loop diagram, a model was developed by converting to stock and flow diagram. The Vensim DSS 5.0 program was used in the model development. We simulated method of moments to the calibration of this model with data from The Korea Youth Risk Behavior Web-based Survey 2005 to 2013. We ran the scenario simulation. Results: This model can be used to understand the current adolescent obesity rate, predict the future obesity rate, and be utilized as a tool for controlling the risk factors. The results of the model simulation match well with the data. It was identified that a proper model, able to predict obesity probability, was established. Conclusion: These results of stock and flow diagram modeling in adolescent obesity can be helpful in development of obesity by policy planners and other stakeholders to better anticipate the multiple effects of interventions in both the short and the long term. In the future we suggest the development of an expanded model based on this adolescent obesity model.

IoT 기반의 한국형 Smart Factory 의사결정시스템 플랫폼에 대한 연구 - 대구/경북 부품소재 기업을 중심으로 (Research about the IoT based on Korean style Smart Factory Decision Support System Platform - based on Daegu/Kyeongsangbuk-do region component manufacture companies)

  • 사공운
    • 디지털산업정보학회논문지
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    • 제12권1호
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    • pp.1-12
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    • 2016
  • The current economic crisis is making new demands on manufacturing industry, in particular, in terms of the flexibility and efficiency of production processes. This requires production and administrative processes to be meshed with each other by means of IT systems to optimise the use and capacity utilisation of machines and lines but also to be able to respond rapidly to wrong developments in production and thus to minimise adverse impacts on the business. The future scenario of the "smart factory" represents the zenith of this development. The factory can be modified and expanded at will, combines all components from different manufacturers and enables them to take on context-related tasks autonomously. Integrated user interfaces will still be required at most for basic functionalities. The complex control operations will run wirelessly and ad hoc via mobile terminals such as PDAs or smartphones. The comnination of IoT, and Big Data optimisation is bringing about huge opportunities. these processes are not just limited to manufacturing, anywhere a supply chain environment exists can benefit from information provided by linked devices and access to big data to inform their decision support. Building a smart factory with smart assets at its core means reaching those desired new levels of productivity and efficiency. It means smart products that leverage advanced traceability, connectivity and intelligence. For businesses, it means being able to address the talent crunch through more autonomous. In a Smart Factory, machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making.

IMPROVING RELIABILITY OF BRIDGE DETERIORATION MODEL USING GENERATED MISSING CONDITION RATINGS

  • Jung Baeg Son;Jaeho Lee;Michael Blumenstein;Yew-Chaye Loo;Hong Guan;Kriengsak Panuwatwanich
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.700-706
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    • 2009
  • Bridges are vital components of any road network which demand crucial and timely decision-making for Maintenance, Repair and Rehabilitation (MR&R) activities. Bridge Management Systems (BMSs) as a decision support system (DSS), have been developed since the early 1990's to assist in the management of a large bridge network. Historical condition ratings obtained from biennial bridge inspections are major resources for predicting future bridge deteriorations via BMSs. Available historical condition ratings in most bridge agencies, however, are very limited, and thus posing a major barrier for obtaining reliable future structural performances. To alleviate this problem, the verified Backward Prediction Model (BPM) technique has been developed to help generate missing historical condition ratings. This is achieved through establishing the correlation between known condition ratings and such non-bridge factors as climate and environmental conditions, traffic volumes and population growth. Such correlations can then be used to obtain the bridge condition ratings of the missing years. With the help of these generated datasets, the currently available bridge deterioration model can be utilized to more reliably forecast future bridge conditions. In this paper, the prediction accuracy based on 4 and 9 BPM-generated historical condition ratings as input data are compared, using deterministic and stochastic bridge deterioration models. The comparison outcomes indicate that the prediction error decreases as more historical condition ratings obtained. This implies that the BPM can be utilised to generate unavailable historical data, which is crucial for bridge deterioration models to achieve more accurate prediction results. Nevertheless, there are considerable limitations in the existing bridge deterioration models. Thus, further research is essential to improve the prediction accuracy of bridge deterioration models.

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참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구 (An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective)

  • 강성배;문태수;정윤
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

GIS를 이용한 상수도(上水道) 계획(計劃) 의사결정(意思決定) 지원(支援)시스템 연구(硏究) (Decision Making Support System for Water Supply Facilities Planning using Geographic Information System)

  • 하성룡;김주환
    • 대한공간정보학회지
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    • 제3권2호
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    • pp.101-113
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    • 1995
  • 상수도 계획 시 계획에 필요한 지형 및 공간특성이 갖는 정보들의 상호 유기적인 결합과 분석의 활용 가치를 증대시키기 위하여 보다 체계적이고 합리적인 정보관리체계가 필요하며 이러한 문제해결을 위한 데이타베이스 관리시스템(Data Base Management System : DBMS) 및 의사결정 지원시스템의 구축이 불가피하다. 또한 관로상의 수리학적 특성에 관련된 통과경로는 대상경로가 갖는 지리적 특성에 큰 영향을 받으므로 수리학적 안정성과 용수공급 대상지역까지 도수 및 송수가 원활히 이루어질 수 있도록 보다 경제적인 노선의 선정방법이 요구된다. 따라서 본 연구에서는 상수도의 신규개발이나 기존시설 확장 시, 계획의 적정성이나 경제성 등을 고려하여 각종기술 및 사회적 경제적 요인을 종합적으로 분석하고 그 결과를 토대로 보다 합리적이고 효율적인 계획 대안을 제공할 수 있는 의사결정 지원시스템을 도입한 상수도 계획기법을 개발하고자 하였다. 특히 상수도 관로계획 수립은 대상지역의 지형 및 토지이용특성에 따른 영향이 지배적인 인자이며 이를 해결하기 위한 방만으로 지리정보시스템(Geographic Information System ; GIS)을 이용하여 시스템을 구성하였다. 용수공급계통계획의 주된 요인인 지형적 공간적 특성을 GIS가 지니는 각종 분석기능과 관로 수리해석 프로그램 SAPID, 경제분석 프로그램인 ECOVEL을 개발하여 결합하고, 지형적인 공간특성정보를 데이터베이스화함으로써 관로의 적정노선을 보다 합리적으로 선정할 수 있는 의사결정 지원시스템을 개발하였으며 개발시스템의 현장 적용성 평가를 실시하여 그 가능성을 검토하였다.

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