• 산업공학
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• 제20권3호
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• pp.387-394
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• 2007

Numerous countries promote business programs to revitalize local economy, increase employment, and nurture high-tech industries. Recently, a number of business incubators have been established and operated with aims to adapt to changing environment and increase economic competitiveness in Korea. To give satisfactory results of governmental policy, the requirement to develop the evaluation model to support effective operations of business incubators using the objective and rational criteria is growing. The purpose of this study is to develop evaluation model in Business Incubator using Data Mining Process. We suggested the evaluation model of business incubator, 'Score-5 RS' consists of making evaluation factor process using weighted sum and 5-grade classification and analyzing process by Decision Tree algorithm.

• Nuclear Engineering and Technology
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• 제35권1호
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• pp.35-44
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• 2003

The neutron induced nuclear data for Eu-153, Gd-155 and Cd-157 are calculated and evaluated in the high energy region. The evaluation procedure for deformed nuclei is setup by using Ecis-Empire codes. The energy dependent optical model potential parameters are searched based on the recent experimental data and applied up to 20 MeV. Optical model, full featured Hauser-Feshbach model and multistep direct and multistep compound model are used in the calculation. The direct-semidirect capture model and the direct coupled-channels contribution to discrete levels are introduced to improve the capture and inelastic scattering cross sections. The theoretically calculated cross sections are compared with the experimental data and the evaluated files. The model-calculated total and capture cross sections are in good agreement with the reference experimental data. The evaluated cross section results are compiled to ENDF-6 format and are expected to improve the ENDF/B-Vl.

• 디지털콘텐츠학회 논문지
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• 제15권4호
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• pp.533-545
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• 2014

IT기술이 발전함에 따라, 우리가 접하는 데이터의 양은 기하급수적으로 늘어나고 있다. 이처럼 방대한 데이터들을 분석하고 관리하기 위한 기술로 등장한 것이 빅데이터 분산처리시스템이다. 기존 분산처리시스템에 대한 품질평가는 정형 데이터 중심의 환경을 바탕으로 이루어져 왔다. 그러므로, 이를 비정형 데이터 분석이 핵심인 빅데이터 분산처리시스템에 그대로 적용시킬 경우, 정확한 품질평가가 이루어질 수 없다. 따라서, 빅데이터 분석 환경을 고려한 분산처리시스템의 품질평가모델에 대한 연구가 필요하다. 본 논문에서는 소프트웨어 품질에 관한 국제 표준인 ISO/IEC9126에 근거하여 빅데이터 분산처리 시스템에서 요구되는 품질평가 요소를 도출하고, 이를 측정하기 위한 메트릭을 정의함으로써 새로이 품질평가모델을 제안한다.

• 한국주거학회논문집
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• 제2권1호
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• pp.69-76
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• 1991

It is the purpose of this study to abtain a basic information about how the users evaluate housing environment. The structural model of housing environment which is employed Repertory Grid Developmental Method is extracted. This model Is composed of 4 classifications : 1) psychological evaluation, 2) visual evaluation, 3) variation, 4) spaciousness.The extracted model can be expected to be used as follows : 1) It is to provide the knowlege of user's evaluation of housing enironment with designers so that they can explore the optimum solution in environ-mental design. 2) It will be an useful data for selecting an evaluation item in psychological evaluation study using SD(Semantic Differential)method. 3) On the physical experiments, it will be an useful data to select an evaluation item.

• 한국통신학회논문지
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• 제31권8B호
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• pp.769-776
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• 2006

기술개발에 대한 적절한 평가를 실시하는 것은 매우 중요하며, 기술평가가 기술개발 활동과 일체화하여 정착될 필요가 있다. 이에 본 논문의 목적은 프로젝트를 수행하는 데 있어서 업체들이 제안한 내용들이 기술 분야에 대해서 요구사항과의 적합성을 판단한다. 그리고 이에 대한 데이터를 추정하도록 한다. 그래서 추정된 값을 TEPM(Technology Evaluation Process Model)에 이용하여 최적의 업체 선정 방법을 검증하였다.

• 한국컴퓨터정보학회논문지
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• 제24권1호
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• pp.41-47
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• 2019

In this paper, we propose a new batter evaluation model that reflects the skill of the opponent pitcher in Korean professional baseball. The model consists of evaluation factors such as Run Value, Contribution Score and Ball Consumption considering the pitcher grade. These evaluation factors are calculated as different data. In order to include the evaluation factors having different characteristics into one model, each evaluation factor is weighted and added. The genetic algorithms were used to calculate the weights, and the data were based on the 2016 records of Korea Professional Baseball and the salary data of the players of 2017. As a result of calculation of the weight, the weight of the Run Value was high and the weight of the Contribution Score was very low. This means that when calculating the annual salary, it reflects much of the expected score according to the batting result of the batter. On the other hand, the contribution score indicating the degree to which the batting result contributed to the victory of the team according to the state of the economy is not reflected in the salary or point system.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제50차 하계학술대회논문집 22권2호
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• pp.95-96
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• 2014

These information systems projects have unique characteristics such as technology sensitiveness, network effectiveness, embeddedness, and externality, these investment projects have been not taken care of in the field of administration and evaluation. Furthermore, it is not easy to evaluate the results of projects under the circumstances where the conditions for evaluation of budget, time, and data leave much to be desired. But the efficient monitoring and effective analysis of information systems are surely needed for beneficient results of investment in information systems. We propose an effect evaluation model on the basis of restriction to evaluate information systems.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.209-216
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• 2003

Contingent valuation method (CVM) is a main evaluation method of nonmarket goods for which markets either do not exist at all or do exist only incompletely; an example is environmental good. A dichotomous choice approach, the most popular type of CVM in environmental economics, employs binary discrete choice models as statistical estimation models. In this paper, we propose a semiparametric dichotomous choice CVM method using local linear model of Fan and Gijbels (1996) in which probability distribution of error term is specified parametrically but latent structural function is specified nonparametrically. The computation procedures of the proposed method are illustrated with a simple design of simulations.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 추계 학술논문 발표대회
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• pp.185-187
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• 2011

The purpose of this study is to develop and apply the oversea construction competitiveness evaluation model which measures the competitiveness of construction companies in global construction market. This model consists of the design and construction competitiveness indexes by ENR statistic data and provides the oversea construction competitiveness index based on the evaluation model.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.26-32
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• 2020

There are many airline customer evaluation data, but they are insufficient in terms of predicting customer satisfaction in practice. In particular, they are generally insufficient in case of verification of data value and development of a customer satisfaction prediction model based on customer evaluation data. In this paper, airline customer satisfaction analysis is conducted through an experiment of correlation analysis between customer evaluation data provided by Google's Kaggle. The difference in accuracy varied according to the three types, which are the overall variables, the top 4 and top 8 variables with the highest correlation. To build an airline customer satisfaction prediction model, they are applied to three classification algorithms of Random Forest, SVM, DNN and conduct a classification experiment. They are divided into training data and verification data by 7:3. As a result, the DNN model showed the lowest accuracy at 86.4%, while the SVM model at 89% and the Random Forest model at 95.7% showed the highest accuracy and performance.