• 한국콘텐츠학회논문지
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• 제7권7호
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• pp.133-143
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• 2007

본 연구의 목적은 정보품질과 서비스품질이 백화점의 서비스 만족도에 미치는 영향과 효과를 실증적으로 분석하는데 있다. 이러한 연구목적을 달성하기 위하여 문헌연구와 요인분석, 분산분석, 회귀분석을 이용한 실증적 연구를 함께 실시하였다. 본 연구의 분석결과는 다음과 같다. 첫째, 회귀분석결과 정보품질과 서비스 만족도와의 관계는 통계적 유의성이 매우 높게 분석되었다. 둘째, 분산분석에서 서비스품질에 따라 정보만족과 서비스기대치와의 관계도 유의성이 있는 것으로 나타났다. 결과적으로 정보지원체계와 서비스품질은 고객과의 관계에 있어서 주요한 요인으로 분석되었다.

• 대한원격탐사학회지
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• 제15권2호
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• pp.91-105
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• 1999

최근 다중 지질정보의 통합적 해석은 GIS의 중요한 응용 분야중 하나로 인식되고 있다. 공간통합을 위하여 지구통계학적 방법들이 개발되어 있지만, 통합결과와 입력 주제도들 사이의 관계에 대한 통계적, 정량적 분석방법론의 개발은 아직까지 체계적으로 정립되어 있지 못한 상황이다. 본 연구에서는 지질도, 지화학자료, 항공지구물리자료, 지형자료 및 원격탐사 영상등 다양한 지질정보등이 보고된 옥동지역을 대상으로 하여 광물 부존 예상도 작성 사례연구를 수행하여 기존에 이용되고 있는 여러 공간 통합 방법중 확실인자 (Certainty Factor: CF) 추정방법과 다변량 통계 분석방법중 하나인 주성분분석을 시험적인 통합방법으로 우선적으로 적용한 뒤, 입력 자료와 통합결과에 대한 정량적인 통계량 정보를 추출하고자 하였다. 입력 주제도와 통합 결과사이의 관계 규명에는 통계 분할표를 이용한 통계처리를 편의 분석에는 잭나이프 방법을 적용하였다. 통합정보에 대한 통계량 분석을 통하여, 통합 결과와 입력자료 사이의 정량적 관계를 추출할 수 있었으며, 부가적으로 입력자료의 상태수준에 대한 판단정보를 얻을 수 있었다. 이러한 결과는 GIS 관점에서 통합결과 해석에 중요한 결정보조자료로 활용될 수 있으며, 복잡한 다중정보를 다루는데 공간 통합문제에서도 입력정보 검증을 위한 일반적일 처리과정으로도 발전할 수 있을 것으로 생각된다.

• 한국환경과학회지
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• 제22권8호
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• pp.953-963
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• 2013

Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. Forecasting of seasonal inflow to Andong dam is performed and assessed using statistical methods based on hydrometeorological data. Predictors which is used to forecast seasonal inflow to Andong dam are selected from southern oscillation index, sea surface temperature, and 500 hPa geopotential height data in northern hemisphere. Predictors are selected by the following procedure. Primary predictors sets are obtained, and then final predictors are determined from the sets. The primary predictor sets for each season are identified using cross correlation and mutual information. The final predictors are identified using partial cross correlation and partial mutual information. In each season, there are three selected predictors. The values are determined using bootstrapping technique considering a specific significance level for predictor selection. Seasonal inflow forecasting is performed by multiple linear regression analysis using the selected predictors for each season, and the results of forecast using cross validation are assessed. Multiple linear regression analysis is performed using SAS. The results of multiple linear regression analysis are assessed by mean squared error and mean absolute error. And contingency table is established and assessed by Heidke skill score. The assessment reveals that the forecasts by multiple linear regression analysis are better than the reference forecasts.

• 수산경영론집
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• 제47권3호
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• pp.35-52
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• 2016

This paper analyzed economic feasibility of aquacultural construction which of large-scale. The results of the economic analysis, cage cultural and water recycling cultural by post-water treatment were analyzed that NPV is 2,083,685 thousand won and -14,105,896 thousand won and B/C ratio is 0.590 and 0.855, respectively. These were shown economic infeasibility. But, running water culture by pre-water treatment(small scale) and running water culture by pre-water treatment(large scale) were analyzed that the one is 5,555,747 thousand won and 15,048,589 thousand won and the other is 1,154 and 1,1221, respectively. these were shown economic feasibility. In addition, measurement of B/C ratio through a sensitivity analysis on running water cultural by pre-water treatment(small scale) and running water cultural by pre-water treatment(large scale) is economic feasibility in all cases. However, these were analyzed when the selling price was falling to 20 percent, it has shown economic infeasibility and when the selling price rises to 20 percent, water recycling culture by post-water treatment has economic feasibility. The significance of the study analyzed a sensibility as well as economic feasibility by methods and scales. It is expected that used as basic materials when constructing and operating of land aquaculture in order to minimize the damage from natural disasters.

• 한국지구과학회지
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• 제25권1호
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• pp.10-21
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• 2004

Recently, spatial data integration for geoscientific application has been regarded as an important task of various geoscientific applications of GIS. Although much research has been reported in the literature, quantitative assessment of the spatial interrelationship between input data layers and an integrated layer has not been considered fully and is in the development stage. Regarding this matter, we propose here, methodologies that account for the spatial interrelationship and spatial patterns in the spatial integration task, namely a multi-buffer zone analysis and a statistical analysis based on a contingency table. The main part of our work, the multi-buffer zone analysis, was addressed and applied to reveal the spatial pattern around geological source primitives and statistical analysis was performed to extract information for the assessment of an integrated layer. Mineral potential mapping using multi-source geoscience data sets from Ogdong in Korea was applied to illustrate application of this methodology.

• Asia pacific journal of information systems
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• 제18권2호
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• pp.95-114
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• 2008

Recent interests in data mining result from the expansion of the amount of business data and the growing business needs for extracting valuable knowledge from the data and then utilizing it for decision making process. In particular, recent advances in association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from the voluminous transactional data. Certainly, one of the major purposes of association rule mining is to utilize acquired knowledge in providing marketing strategies such as cross-selling, sales promotion, and shelf-space allocation. In spite of the potential applicability of association rule mining, unfortunately, it is not often the case that the marketing mix acquired from data mining leads to the realized profit. The main difficulty of mining-based profit realization can be found in the fact that tremendous numbers of patterns are discovered by the association rule mining. Due to the many patterns, data mining experts should perform additional mining of the results of initial mining in order to extract only actionable and profitable knowledge, which exhausts much time and costs. In the literature, a number of interestingness measures have been devised for estimating discovered patterns. Most of the measures can be directly calculated from what is known as a contingency table, which summarizes the sales frequencies of exclusive items or itemsets. A contingency table can provide brief insights into the relationship between two or more itemsets of concern. However, it is important to note that some useful information concerning sales transactions may be lost when a contingency table is constructed. For instance, information regarding the size of each market basket(i.e., the number of items in each transaction) cannot be described in a contingency table. It is natural that a larger basket has a tendency to consist of more sales patterns. Therefore, if two itemsets are sold together in a very large basket, it can be expected that the basket contains two or more patterns and that the two itemsets belong to mutually different patterns. Therefore, we should classify frequent itemset into two categories, inter-pattern co-occurrence and intra-pattern co-occurrence, and investigate the effect of the market basket size on the two categories. This notion implies that any interestingness measures for association rules should consider not only the total frequency of target itemsets but also the size of each basket. There have been many attempts on analyzing various interestingness measures in the literature. Most of them have conducted qualitative comparison among various measures. The studies proposed desirable properties of interestingness measures and then surveyed how many properties are obeyed by each measure. However, relatively few attentions have been made on evaluating how well the patterns discovered by each measure are regarded to be valuable in the real world. In this paper, attempts are made to propose two notions regarding association rule measures. First, a quantitative criterion for estimating accuracy of association rule measures is presented. According to this criterion, a measure can be considered to be accurate if it assigns high scores to meaningful patterns that actually exist and low scores to arbitrary patterns that co-occur by coincidence. Next, complementary measures are presented to improve the accuracy of traditional association rule measures. By adopting the factor of market basket size, the devised measures attempt to discriminate the co-occurrence of itemsets in a small basket from another co-occurrence in a large basket. Intensive computer simulations under various workloads were performed in order to analyze the accuracy of various interestingness measures including traditional measures and the proposed measures.

• 대한가정학회지
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• 제28권1호
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• pp.9-20
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• 1990

The purpose of this study was to identify the original quality of design by Issey Miyake and the relationship between the modern expression of art and his design regarding the form, internal symbolism, and Japanese tradition. The bottom current of the modern expression of art has two current: intention to autonomy or purism and intention to contingency. According to analysis of Miyake's design, it was found that Miyake has directed his attention to coexistance of fabric and the body with a pure fluid sculptured form based on two dimensional rectangular fabric. And his plasticity of dress was also made against the fitted structure form and idea of Haute Couture, emphasizaing on his own creativity and insisting on a creative collaboration between the designer and wearer. Finally, the fact that his design was inflnenced by traditionalison of Japanese costume and current modern expression of art was proved.

• 대한전기학회논문지:전력기술부문A
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• 제54권9호
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• pp.441-448
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• 2005

On-line dynamic security assessment is becoming more and more important for the stable operation of power systems as load level increases. The necessity is getting apparent under Electricity Market environments, as operation of power system is exposed to more various operating conditions. For on-line dynamic security assessment, fast transient stability analysis tool is required for contingency selection. The TEF(Transient Energy Function) method is a good candidate for this purpose. The clustering of critical generators is crucial for the precise and fast calculation of energy margin. In this paper, we propose a new method for fast decision of mode of instability by using stability indices. Case study shows very promising results.

• 조명전기설비학회논문지
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• 제25권2호
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• pp.87-95
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• 2011

A Renewable Portfolio Standard(RPS) is a regulation that requires the increased generation of energy from renewable energy sources such as solar, wind, fuel cell, small hydro, biomass and geothermal. By environmental, technical and these regulatory reasons, the amount of renewable energy sources will be increased in a network. However, it is hard to assess risk of a transmission network with large scale renewable energy sources because the output characteristics of renewable energies are intermittent. This paper evaluates effects of a transmission system with supplemental large scale renewable energies into the existing system. To evaluate these effects, a methodology for risk level of components in a network is proposed considering steady state and contingency N-1 in this paper. We consider line current and bus voltage in each state of a network.

• 전기학회논문지
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• 제58권7호
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• pp.1281-1286
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• 2009

As a general radial configuration of power distribution system, the various researches have being studied to change a radial configuration to network one such as smart, intelligent and micro grid for loop operation. If a radial configuration changes to network, protective coordination comes to the biggest problem. When a typical protective algorithm is applied to loop distribution system protection, the interrupted section is expanded, therefore, reliability grows worse. This paper presents the new protective method being able to apply to loop distribution system with Distribution Automation System (DAS) which separate the minimal faulted section. Through contingency analysis of the sustained and momentary fault, we analyzed the influence for radial configuration and loop configuration using interrupted area and proved the effectiveness of proposed method.