• 한국철도학회논문집
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• 제19권6호
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• pp.815-825
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• 2016

'2013년 산업연관표'를 활용하여 철도운송서비스산업의 위상과 국가 경제에 미치는 효과를 분석하였다. 이를 '2003년 산업연관표'를 이용한 분석결과와 직접 비교함으로써 지난 10년 동안의 변화를 살펴보았다. 지난 10년간 우리나라의 철도운송서비스 산업은 생산액, 부가가치, 수출입 등에서 많은 변화가 있었다. 이를 가장 선명하게 보여주는 지표는 생산, 부가가치, 수입유발 승수의 크기이다. 2013년에 철도여객서비스의 생산, 부가가치, 수입유발 승수는 2003년에 비해서 각각 2.1배, 0.03배, 1.29배 증가하였다. 그리고 철도화물서비스는 각각 1.17배, 0.02배, 0.64배씩 증가하였다. 이 수치들을 통해서 지난 10년 동안에 철도운송서비스산업과 다른 산업들 간의 투입산출구조가 상당히 많은 변화를 거쳤음을 알 수 있다. 그리고 산업연관분석 연구에는 무엇보다도 최신의 자료를 이용해야 더 시의적절한 결과를 도출 할 수 있음도 새삼 확인되었다.

• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.239-246
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• 2003

Statisticians, or data miners, are often requested to assess the importances of input variables in the given supervised learning model. For the purpose, one may rely on separate ad hoc measures depending on modeling types, such as linear regressions, the neural networks or trees. Consequently, the conceptual consistency in input variable importance measures is lacking, so that the measures cannot be directly used in comparing different types of models, which is often done in data mining processes, In this short communication, we propose a unified approach to the importance measurement of input variables. Our method uses sensitivity analysis which begins by perturbing the values of input variables and monitors the output change. Research scope is limited to the models for continuous output, although it is not difficult to extend the method to supervised learning models for categorical outcomes.

• Communications for Statistical Applications and Methods
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• 제10권2호
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• pp.433-443
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• 2003

In this study, we provide a comparison of multivariate Q-techniques in the up-to-date versions of SAS, SPSS, Minitab and S-plus well known to those who study statistics. We can analyze data through the direct Input method(command) in SAS and use of menu method in SPSS, Minitab and S-plus. The analysis performance method is chosen by the high frequency of use. Widely we compare with each Q-techniques form according to input data, input option, statistical chart and statistical output.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.157-172
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• 2020

This study attempts to analyze trade flows between Vietnam and China in order to understand the mutual influence of bilateral trade relations. China is a country with the world's leading economic potential. China and Vietnam are neighboring countries sharing a border of 1,281 km. Trade relations between the two countries are a necessity and, with a right policy, are beneficial to both. Vietnam has a trade deficit with China. This situation is exacerbated by the continuing rise in the gap. Vietnam trade deficit from China was USD12.5 billion in 2010, increasing to USD24 billion in 2018. Data are extracted from the 2015 national input-output tables of Vietnam and China as well as Vietnam Household Living Standard Survey statistics. The research identified 36 sectors of bilateral input-output trade between Vietnam and China. A bilateral output-input model is applied to analyze how final demand and use of input in the production of this country induces output and value added of the other country. The results show that China benefits more from Vietnam's production and consumption than Vietnam does. Vietnam's inter-sector structure does not stimulate domestic production due to the absence of supporting products as inputs in the production process.

• 전기학회논문지
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• 제61권7호
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• pp.1007-1013
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• 2012

Modeling of photovoltaic power systems is significant to analytically predict its dynamics in practical applications. This paper presents a novel modeling algorithm of such system by using probability and statistic theories. We first establish a linear model basically composed of Fourier parameter sets for mapping the input/output variable of photovoltaic systems. The proposed model includes solar irradiation and ambient temperature of photovoltaic modules as an input vector and the inverter power output is estimated sequentially. We deal with these measurements as random variables and derive a parameter learning algorithm of the model in terms of statistics. Our learning algorithm requires computation of an expectation and joint expectation against solar irradiation and ambient temperature, which are analytically solved from the integral calculus. For testing the proposed modeling algorithm, we utilize realistic measurement data sets obtained from the Seokwang Solar power plant in Youngcheon, Korea. We demonstrate reliability and superiority of the proposed photovoltaic system model by observing error signals between a practical system output and its estimation.

• 통합자연과학논문집
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• 제8권4호
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• pp.293-304
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• 2015

This study examined the factors which have influence on the welfare facilities for the elderly and analyzes their efficiency. It investigated theoretical studies and preceding studies and divided the efficiency evaluation factors into input and output factors. Input factors included budget, the number of workers and clients and facility area and output factors were operation management, the number of clients, profitability and welfare for the elderly. To sum up the analysis results of evaluation factors of welfare facilities for the elderly, the analysis of relative importance of input showed that budget was most important. As a result of analyzing the relative importance among detailed items, balance sheet and professional manpower were highest. Input factors by facility types showed that the budget for utility facilities and living facilities were highest. In output factors, utility facilities and living facilities were highest in management systematization and welfare for the elderly, respectively. In efficiency evaluation, utility facilities for the elderly showed 100% of efficiency in CCR and BCC models. In welfare facilities for the elderly, while CCR model showed 100% of efficiency in facility types A, C, D, and F, the efficiency was low in facility B (79.89%), E (77.14%), and G (80.72%). In BCC model, facility E was low as 78.69%. In efficiency comparison between utility facilities and living facilities for the elderly welfare, the efficiency of utility facilities for the elderly welfare was higher. Therefore, this study investigated the efficiency of welfare facilities for the elderly as its main purpose and presented policy suggestions based on the research results as the alternative.

• 응용통계연구
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• 제21권1호
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• pp.125-140
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• 2008

지역문화축제의 성과에 대한 경제적인 접근을 통해 파급효과를 분석하기 위하여 산업연관모델을 이용하여 지역경제파급효과를 분석하였다. 전주국제영화제에 대한 지역경제파급효과는 다음과 같다. 생산유발효과는 112억, 부가가치유발효과가 53억 그리고 취업 유발효과는 254명으로 추정되었다. 지역 문화축제는 지역경제정책의 수단으로 매우 의미가 있는 것으로 나타났다. 이러한 축제로 인한 경제적 효과를 확대하기 위해서는 주변의 관광지, 문화유적, 식당, 숙박, 오락시설 등의 산업들과 밀접한 연계관계를 구축해서 관광객이 많이 참여할 수 있도록 하여야 할 것이다.

• 품질경영학회지
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• 제40권3호
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• pp.394-405
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• 2012

Purpose: In this study, we suggest the systematic and comprehensive model to develop PI(Performance Indicators) of the organization or the process. Methods: The model is developed theoretically by using SIPOC(Supplier, Input, Process, Output, Customer) approach which is a tool to analyze the process and is compared with existing models to develop PI or KPI(key performance indicators); financial indicators, BSC, IPOO(input, process, output, outcome), traditional QCD (quality, cost, delivery), and IOS(input, output system). Results: The model provides more systematic method to develop PI and more comprehensive set of PI pools for all kinds of hierarchical levels of process than any other models to develop PI or KPI. Conclusion: This model will provide useful tools for the managers and the organizations who wish to develop PI.

• 산업경영시스템학회지
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• 제29권1호
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• pp.9-17
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• 2006

This paper considers a six sigma project for improving productivity of the brace complement center pillar. The project follows a disciplined process of fife phases: define, measure, analyze, improve, and control. A process map is used to identify process input and output variables. Eleven key process input variables are selected by using X&Y matrix and FMEA, and finally eight vital few input variables are selected from analyze phase. The optimum process conditions of the vital few input variables are jointly obtained by maximizing productivity of the brace complement center pillar using DOE and alternative selection method.

• 품질경영학회지
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• 제40권1호
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• pp.49-59
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• 2012

In computer simulation models the output from the computer code is often deterministic, i.e., running the code twice with the same values for the input variables would give the same output. It is discussed why the response surface method with polynomial approximation for the true response function is a good approximation to the computer experiments model. A sequential strategy to find the proper reduced quadratic polynomial model is illustrated with a case study in the military war game computer simulation model.