• 환경영향평가
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• 제8권3호
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• pp.49-59
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• 1999

In this study, we individualize the clauses to sort out the troubled ones, draw up a interrelation model in order to visually organize the relations, and finally, suggest the desirable application idea. The interrelation model suggested in this study has been made based on the matrix method. On this matrix, we arranged the environmental factors on horizontal and vertical axis, and when we describe the relation of each factors, we set the horizontal axis as the base and divided the content into three grades : Fine, Medium, and Poor. In addition to that, we expressed those three grades into numerical value like 3 points for Level Fine, 2 points for Level Medium, and 1 point for Level Poor and then, we converted this numerical values into index numbers. We could classify the index numbers such as AS, PS, Q-index, P-index. AS is an index numerically shows the degree of giving environmental effect, PS is an index numerically shows the degree of receiving environmental effect, Q-index is an index shows the aggravate degree, and P-index shows the relation degree. The Q/P-index with large numbers has considerable effect on the environmental system, while the small numbered Q/P-index barely effect on the environmental system. Moreover, we classified the environmental factors into 5 levels(I~V) according to the relations between the Q-index and P-index. Level I is less affected by the environment and has more giving effect, while Level V is more sensitively affected by the environment and has more receiving effect, which we considered important. Therefore, we could come up with the result that if we consider the each level of factors when we evaluate the EIA, the result would be far more accurate and reliable since it contains mutual relation aspect of EIA. The suggested interrelation model in this thesis is presentable as one of those scoping system. We highly believe the need of scoping system in EIA and suggest the interrelation model as the alternative idea for scoping system.

• 한국조사연구학회지:조사연구
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• 제6권1호
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• pp.1-38
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• 2005

본 논문은 부패문제의 중요성에 대한 대중적 인식의 확산과 부패를 측정하는 연구모형의 중요성을 고려하여 기존의 부패지수 측정모형들을 비교 ${\cdot}$ 분석하였다. 이 연구에서는 서울시정개발연구원에서 개발한 “서울시 시정청렴성지수 측정모형”과 “경실련 부패지수 측정모형”을 분석의 대상으로 선정하여 ‘지표 및 지수선정방식의 적정성’, ‘조사설계의 적절성’, ‘통계활용의 적절성’의 3가지 측면에서 분석하였다. 본 연구에서 발견된 두 모형의 문제점은 다음과 같다. 첫째, 지표 및 지수선정방식에 있어서, 경실련부패지수는 지표가 너무 세분화되어 있고, 중복적인 지표도 다수 포함되어 있었으며, 지표별 가중치를 두지 않음으로써 지표별 중요도를 고려하지 않았다. 시정청렴지수 측정모형은 가중치를 부여하기 위한 가중치평가단에 일반시민에 대한 조사가 포함되어 있지 않아 부패를 체감하는 당사자인 민원인들의 의견을 수렴하지 못하였다 서울시 모형은 부패수준에 대한 직접적인 질문이 빠져 있어 실질적인 부패수준과 인식수준과의 차이점을 밝혀내지 못하였다. 둘째, 조사 설계의 적절성 여부에서는, 경실련 부패지수는 표본수가 너무 적어서 조사의 신뢰성에 문제가 있었으며, 조사방법에 있어서 각 구청에서 출구조사를 실시함으로써 객관성을 떨어뜨리고 있다. 질문문항의 수도 총 38문항으로 시정청렴성지수의 13문항에 비하여 지나치게 많은 감이 있으며 질문을 작성함에 있어 불명확하고 중복적인 용어가 사용되고 있었다. 셋째, 통계활용의 적절성 부분에서는, 시정청렴성지수 측정모형의 경우, 객관적 통계의 활용에 문제점을 제기하여 지표체계에서 삭제하였으며, 경실련 부패지수에서는 1995년부터 1999년까지의 서울시 각 자치구 소속 공무원의 징계자료를 수집하여 자료로 사용하였다. 통계를 자료로 사용가능하기 위해서는 충분한 양의 징계건수가 필요하며, 통계의 신뢰성이 높아야 한다. 현재 우리나라에서 집계되는 통계는 부패의 일각만을 나타내는 것으로 판단된다. 게다가 징계 유형별로 어느 정도의 가중치를 줄 것인가에 대한 객관적인 방법이 아직 개발되어 있지 않은 실정이어서 이러한 점에서 아직까지 객관적 통계자료의 사용은 한계를 가지고 있다. 위의 문제점들이 개선되기 위해서는 평가지표에 객관적 자료가 추가되고, 다양한 평가지표들이 발굴되어야 하며, 각 지표간의 가중치문제가 해결되어야 한다.

• 한국안전학회지
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• 제28권2호
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• pp.78-83
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• 2013

The traffic culture index is used as a major index in evaluating the traffic safety services of local governments and also serve as important data for the planning and implementation of traffic safety services. However, as the traffic culture index gradually became a standard for comparison among local governments, in part, certain cases arose which questioned the grounds for selecting variables for the index and the validity of the index in terms of its influential relationship between evaluation items. This study analyzed the index's influential relationship by utilizing a PLS structural equation model based on the evaluation results of the 2011 traffic culture index. A variable-linking model was created which recognized the relativity taking into account of the indirect effects between latent variables and this model was proven to be a model suitable in explaining the traffic culture index with a 97.8% explanation power. It was found that traffic safety(0.530), driving behavior(0.527), pedestrian behavior(0.187) and vulnerable road users(0.147), in such order, had an effect on the traffic culture index. It was also found that human casualties due to traffic accidents under "traffic safety" and traffic light compliance rate under "driving behavior" had an important effect. The study showed that motor vehicle share in illegal parking in school zones did not have a valid explanation power regarding "vulnerable road users".

• Journal of Biosystems Engineering
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• 제31권6호
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• pp.524-528
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• 2006

This study was performed to develop experimental model for milling degree and whiteness from analysis the CBB (colored bran balance) index using NMG dying and image processing. The endosperm layer increased and the pericarp, aleurone layer and CBB index decreased as the milling degree and whiteness increased. So, CBB index was closely linked to milling degree and whiteness. A empirical CBB index model was developed according to the milling degree and whiteness. The model were found to fit adequately to all test data with a coefficient of determination of 0.99, and therefore the CBB model proved to be quite applicable.

• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.153-166
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• 2003

This study presents the time-divided forecasting model to integrate evolutionary optimization algorithm and change point detection based on artificial neural networks (ANN) for the prediction of (Korea) stock price index. The genetic algorithm(GA) is introduced as an evolutionary optimization method in this study. The basic concept of the proposed model is to obtain intervals divided by change points, to identify them as optimal or near-optimal change point groups, and to use them in the forecasting of the stock price index. The proposed model consists of three phases. The first phase detects successive change points. The second phase detects the change-point groups with the GA. Finally, the third phase forecasts the output with ANN using the GA. This study examines the predictability of the proposed model for the prediction of stock price index.

• 한국산림과학회지
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• 제102권4호
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• pp.467-476
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• 2013

산림입지도의 지위지수 정보는 조사지점에만 존재하므로 미조사 지역에 대한 지위지수는 별도의 추정이 필요하다. 미조사 지역의 지위지수 추정을 위해 본 연구에서는 점자료로부터 연속표면을 생성하는 공간 내삽법인 크리깅 기법을 적용하였다. Chapman-Richards 생장모델을 이용하여 표준지별 지위지수 추정치를 구한 뒤 가우시안, 구형 및 지수형 베리오그램 모델별로 정규크리깅을 이용하여 단양 전역의 소나무림 지위지수를 격자단위($30m{\times}30m$)로 추정하였다. 교차검증을 위해 평균오차(ME), 평균표준오차(ASE) 및 평균제곱근오차(RMSE)를 계산하였다. 베리오그램 모델 적합 결과, 상대 너깃이 가장 큰 가우시안 모델(37.40%)이 제외되었으며 구형 모델(16.80%)과 지수형 베리오그램 모델(8.77%)이 선택되었다. 크리깅에 의한 지위지수 추정치는 지수형 모델을 적용한 경우 4.39~19.53, 구형모델을 적용한 경우 4.54~19.23의 분포를 보였다. 교차 검증 결과, RMSE는 두 모델에서 큰 차이가 없는 것으로 나타났으나 구형모델의 ME와 ASE가 지수형 모델보다 작기 때문에 구형 베리오그램 모델 기반 지위지수 지도를 최종적으로 선정하였다. 지위지수 지도로부터 산출된 단양지역 소나무림 평균 지위지수는 10.78로 추정되었다. 공간이질성이 큰 우리나라 산림의 바이오매스 추정 시 지위지수 지도를 통해 지역적 변이를 고려할 수 있으며 궁극적으로는 탄소저장량 분포 추정의 정확도 제고에 기여할 수 있을 것으로 기대된다.

• 동력기계공학회지
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• 제11권3호
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• pp.66-72
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• 2007

This study proposed new method to decide the reference model necessary for design PID controller. In generally, control design problems using the reference model have the following two factors. One factor is that numerical model of the controlled system can be obtained extremely, and the other is that specification for the closed-loop dynamic performance is pure moderate. Therefore, the control design procedure is essentially based on the partial reference model matching which offers a reasonable method to simplify the design and the controller configuration under the controlled system uncertainty. ITAE(Integral of time-multiplied absolute error) performance index and Kitamori method etc. which were used a reference model method had a limit to settling time and rising time of reference model that it arrived to steady state response according to the controlled system. On this study, if it only knew peak time of overshoot and settling time by measurement signal of the controlled system, it can be made the reference model easily. We proposed new method to improve performance index of the reference model superior to existing reference model index and illustrate the numerical simulation results to show the effectiveness of proposed control method design.

• 응용통계연구
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• 제23권4호
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• pp.739-745
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• 2010

This paper computes the repurchase index based on statistical modeling. Using the transaction record of a certain product, the repurchase index is obtained by fitting the Poisson regression model. The customers are classified into 5 groups based on the index giving the information about the propensity to repurchase.

• 산업공학
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• 제24권4호
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• pp.314-322
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• 2011

This study analyzes a relationship between Data Envelopment Analysis(DEA) efficiency scores and a normalization index in order to examine the validity of DEA models. A normalization index concerned in this study is 'sales per R&D project fund' which is regarded as a crucial R&D project performance evaluation index in practice. For this correlation analysis, three distinct DEA models are selected such as DEA basic model, DEA/AR-I revised model(i.e. DEA basic model with Acceptance Region Type I constraints) and Super-Efficiency(SE) model. Especially, SE model is adopted where efficient R&D projects(i.e. Decision Making Units, DMU's) with DEA efficiency score of unity from DEA basic model can be further differentiated in ranks. Considering the non-normality and outliers, two rank correlation coefficients such as Spearman's ${\rho}_s$ and Kendall's ${\tau}_B$ are investigated in addition to Pearson's ${\gamma}$. With an up-to-date empirical massive dataset of n = 482 R&D projects associated with R&D Loan Program of Korea Information Communication Promotion Fund in the year of 2011, statistically significant (+) correlations are verified between the normalization index and every model's DEA efficiency scores with all three correlation coefficients. Especially, the congruence verified in this empirical analysis can be a useful reference for enhancing the practitioner's acceptability onto DEA efficiency scores as a real-world R&D project performance evaluation index.

• Communications for Statistical Applications and Methods
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• 제8권2호
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• pp.543-556
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• 2001

This study suggests integrated neural network modes for he stock price index forecasting using change-point detection. The basic concept of this proposed model is to obtain significant intervals occurred by change points, identify them as change-point groups, and reflect them in stock price index forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in stock price index dataset. The second phase is to forecast change-point group with various data mining classifiers. The final phase is to forecast the stock price index with backpropagation neural networks. The proposed model is applied to the stock price index forecasting. This study then examines the predictability of integrated neural network models and compares the performance of data mining classifiers.