• Journal of the Korean Society for Railway
• /
• v.19 no.6
• /
• pp.815-825
• /
• 2016

The inter-industrial inducement effects of the Korean railway services on the output, value-added, and imports of 383 industrial sectors of the Korean economy have been computed by the input-output analysis technique utilizing the '2013 Input-Output Statistics', which was published most recently in December 2015 by the Bank of Korea. The research results are, then, compared and contrasted with the former research results with the '2003 Input-0utput Statistics', which were published in the Journal of the Korean Society for Railway, August, 2008. The economic inducement effects computed in this study are as follows. The Korean railway service industry produced \5,841 billion worth of passenger and freight railroad services in the year 2013, and it induced \8,511 billion worth of output, \84 billion worth of value-added, and \1,050 billion worth of imports for Korean industry as a whole.; the production inducement multiplier, value-added multiplier, and imports inducement multiplier of 2013 results are shown to be quite different from 2003 multipliers.; it has been shown that it is necessary to utilize the most recent Input-Output Statistics for the computation of the most recent inter-industrial analysis.

• Communications for Statistical Applications and Methods
• /
• v.10 no.1
• /
• pp.239-246
• /
• 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
• /
• v.10 no.2
• /
• pp.433-443
• /
• 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
• /
• v.7 no.6
• /
• pp.157-172
• /
• 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.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.61 no.7
• /
• pp.1007-1013
• /
• 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.

• Journal of Integrative Natural Science
• /
• v.8 no.4
• /
• pp.293-304
• /
• 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.

• The Korean Journal of Applied Statistics
• /
• v.21 no.1
• /
• pp.125-140
• /
• 2008

The purpose of this study is to analysis the economic impacts of regional cultural festival via using the regional input-output model. In order to achieve this purpose, calculate output, value added and employment multiplier impacts of the Jeonju International Film Festival. The impacts of the JIFF on regional economic follow as ; Output is 112 hundred million won, value added is 53 hundred million won and employes is 254 labors. We need a new following strategies to obtain highly positive impacts from regional cultural festival. It needs to made networks among sight-seeing places, cultural remains, restaurants, hotels and entertainment institutions, in order to made visitors and customers expend much.

• Journal of Korean Society for Quality Management
• /
• v.40 no.3
• /
• pp.394-405
• /
• 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.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.29 no.1
• /
• pp.9-17
• /
• 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.

• Journal of Korean Society for Quality Management
• /
• v.40 no.1
• /
• pp.49-59
• /
• 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.