• Journal of Korean Society on Water Environment
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• v.23 no.1
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• pp.161-168
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• 2007

The main aim of this work is focus on the Geum river water quality evaluation of pollution data obtained by monitoring measurement during the period 2001-2005. The complex data matrix 19 (entire monitoring stations)*13 (parameters), 60 (month)*13 (parameters) and 20 (season)*13 (parameters) were treated with different multivariate techniques such as factor analysis/principal component analysis (FA/PCA). FA/PCA identified two factor (19*13) classified pollutant Loading factor (BOD, COD, pH, Cond, T-N, T-P, $NH_3$-N, $NO_3$-N, $PO_4$-P, Chl-a), seasonal factor (water temp, SS) and three Factor (60*13, 20*13) classified pollutant Loading factor (BOD, COD, Cond, T-N, T-P, $NH_3$-N, $NO_3$-N, $PO_4$-P), seasonal factor (water temp, SS) and metabolic factor (Chl-a, pH). Loadings of pollutant factor is potent influence main factor in the Geum river which is explained by loadings of pollutant factor at whole sampling stations (71.16%), month (52.75%) and season (56.57%) of main water quality stations. Result of this study is that pollutant loading factor is affected at Gongju 1, 2, Buyeo 1, 2, Gangkyeong, Yeongi stations by entire stations and entire month (Gongju 1, Cheongwon stations), April, May, July and August (buyeo 1) by month. Also the pollutant Loading factor is season gives an influence in winter (Gongju 1, buyeo 1) from main sampling stations, but Cheongwon characteristic is non-seasonal influenced. This study presents necessity and usefulness of multivariate statistic techniques for evaluation and interpretation of large complex data set with a view to get better information data effective management of water sources.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.4
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• pp.19-28
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• 2023

Purpose - research the main methods of financial analysis of corporation in the condition of inflationary processes: the analysis of financial sustainability, liquidity, profitability and etc. Research design, Data, and methodology - the main methodical aspects of financial analysis of operations in the conditions of inflation, their efficiency are presented in the theses. Also the main financial indicators are generalized and systematized with the factor of inflation. The general scheme of adjusting the analysis of financial stability for the factor of inflation is presented. Result - The specifics of adjusting the company's assets and liabilities for the factor of inflation during the analysis of prospective financial stability are details revealed in the article. The features of a comprehensive prospective assessment of liquidity and the financial stability are determined. Conclusion - The account of factor of inflations in the financial operations enable reduce the losses, to identify the price of price strategy on the market, to analyze the problematic situations and develop scenarios for the development of the organization's activities in these conditions. The article the limitations and recommendations for adjusting for the factor of inflation are presented, including the necessary to clearly define the levels of their detail, since the study may be overloaded with calculations.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.293-298
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• 2015

The vessel encounter data collected from the vessel trajectories in the maritime traffic situation is possible to analyze vessel collision and near-collision risk using statistical method. In this study, analyzing variables extracted from the vessel encounter data using factor analysis, we determine main factors effecting vessel collision risk from vessel encounter data. In order to calculate each factor, it used principal component analysis for factor analysis after normalization and standardization of vessel encounter variables. As a result of the factor analysis, main effect factors are summarized into the vessel approach factor and collision avoidance variance factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.4
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• pp.740-749
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• 1997

The purpose of this study was to identify the effects of perceptual self-concept and evaluative self-concept (self-esteem) on the clothing behavior of college students. The subjects of this study were college students who were attended in Semyung University. For statistical analysis, factor analysis, 1-test, Pearson's correlation and two-way ANOVA were used. The results of this study were as follows: 1. Male students showed higher evaluative self.concept than female students. 2. Shopping motivation was varied according to self-concept especially in male students. And in fashion pursuit factor, sex and self-concept had the main effect and concurrently there was interaction. 3. Clothing interest was varied according to self-concept. About fashion interest, sex had the main effect and sex and self-concept showed the interaction. 4. Clothing satisfaction was changed according to self-concept. Self-concept showed the main effect in fashionable factor and practical factor, and sex and self-concept had interaction in fashionable factor.

• Journal of Electrical Engineering and Technology
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• v.13 no.4
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• pp.1539-1548
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• 2018

This paper introduces a new soft switched AC-DC boost converter with power factor correction (PFC). In the introduced converter, all devices are turned on and off under soft switching (SS). The main switch is turned on under zero voltage transition (ZVT) and turned off under zero current transition (ZCT). The main diode is turned on under zero voltage switching (ZVS) and turned off under zero current switching (ZCS). Meanwhile, there is not any current or voltage stress on the main devices. Besides, the auxiliary switch is turned on under ZCS and turned off under ZVS. The detailed theoretical analysis of the converter is presented, and also theoretical analysis is verified by a prototype with 100 kHz and 500 W. Also, the proposed converter has 99.8% power factor and 97.5% total efficiency at soft switching operation.

• Journal of the Korean Society of Costume
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• v.63 no.1
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• pp.97-107
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• 2013

To give satisfaction with the fit to a wearer, the wearer's body size and body types should be considered first, this study conducted the descriptive statistical analysis on the upper body measurements of women in their 20s because their body shape has reached the completion stage of adult female's physical development. Also, the analysis classified their upper body types into groups to secure basic data for (maximum satisfaction with the fit of ready-to-wear clothing. The factor analysis was conducted using 49 items of measurement. The main factor analysis was used as a factor extraction method. After extracting the factors with Eigenevalues over 1, the factor loadings were drawn using the Varimax rotation. As a result, 6 factors were extracted. To secure internal consistency, factors that could lower the reliability of the experiment were taken out, so only 36 of the 49 items were used for the analysis. After selecting the items to recognize the main features of each body type, they were used for the final factor analysis. The entire R square of the 6 factors was 84.06%. To classify the upper body types of women in their 20s and to recognize the main features of each body shape type, the researcher conducted the cluster analysis with the items generated from the factor analysis. Through the cluster analysis, the upper body type of women in their 20s were classified into 3 body types. Also, since there are some restrictions on this research objects in terms of local and numbers of measured objects, the results of the this research should only be used as basic data.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.256-260
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• 2011

In 2007, Seoul Metropolitan Government introduced new public rental housing policy called SHift that works as rental deposit base. The purpose of this study is to evaluate the residential satisfaction of SHift. This research has shown conclusively that there is a link between the Location of apartment, Internal Premises, External Premises and satisfaction of SHift residents. The main factors of Residential satisfaction of SHift residents are Location of economical factor. The factor analysis of the 12 factors of variable are confirmed by the internal consistency reliability. This analysis is evaluate on discrimination of the correlation between the dwelling circumstance and the residential satisfaction. The economical factor was the main factor among the Independent variables. It can be concluded that the general overview of the Residential Satisfaction of SHift residents satisfaction is "quite good". But there are maby problems on SHift.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.4
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• pp.24-29
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• 2020

Measuring the torque of the wheel loader of a driving device is a preemptive task to ensure its performance. In this study, wireless torque measurements were successfully conducted. Moreover, based on the experimental results and the adopted design method, the key factor of torque generation, which is the main load in driving devices, was analyzed. Other data not analyzed in this paper will be the basis for the logical design of wheel loader-based driving devices.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.127-135
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• 2021

This study aims to find the main factors to influence consumers' purchase of dairy products. To do so, we examined experts' opinions to verify the priorities of the factors. The four main factors were derived from the previous studies, product factor, marketing factor, quality factor, and social factor. Using analytic hierarchy process (AHP), we empirically analyzed and tested the results from survey. Based on the AHP analysis, the expert group recommended to improve the packaging, brand, and shelf lie of dairy products for the marketing factor, for instance. The results of this study can contribute to the development of the dairy products for the future to reveal the importance of the selecting factors.

• Korean Journal of Computational Design and Engineering
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• v.21 no.2
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• pp.151-158
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• 2016

It is important to analyze dimensional errors occurring during shipbuilding process. A ship is constructed by assembling blocks and installing outfits in assembled ship structure. Blocks and outfits have a main direction that has greater importance than other directions from the view point of dimensional error. Therefore, a main direction should have a greater weighting factor than other directions in order to achieve meaningful inspection results. In this paper, a modified point registration method based on iterative closest point (ICP) is proposed. In this method, a user determines one or two main directions among x, y, and z directions, and then each main direction is made to have a greater weighting factor than other directions. For points registration, mapping between measured points and design points are performed by the modified ICP in which weighting factor assigned to each main direction is considered.