• 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.

• Culinary science and hospitality research
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• v.6 no.2
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• pp.79-95
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• 2000

In the modern industrial society, the management of human resources is regarded as an area as much important as the management itself. The development of human capacity is required to accomplish upgrading human resources quality. The objective of this study aims to seek the way to solve the problem of the job satisfaction of diner out company employee. The collecting data is analyzed by sass which is one of the computer. programs. This empirical research result shows some facts as follows : First, Significant differences between male and female in regard to job satisfaction were found. Second, No significant differences between unmarried and married in regard to job satisfaction were found. Third, Significant differences were found in the accomplishment and communication factor of job satisfaction according to the age, Fourth, Significant differences were found in the hard work environment and accomplishment factor of job satisfaction according to the education Fifth, Significant differences were found in the hard work environment factor of job satisfaction according to the major. Sixth, Significant differences were found in the wages, accomplishment , communication factor of job satisfaction according to the position. Seventh, Significant differences were found in the accomplishment and affinity factor of job satisfaction according to the period of the job. Eighth, Significant differences were found in the duty trait factor of jobs satisfaction according to the level of the pay. Ninth, Significant differences were found in the duty trait factor of job satisfaction according to the kind of the job. Tenth, Significant differences were found in job satisfaction according to the kind of diner out company.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.3
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• pp.414-428
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• 1996

This study intends to ascertain the importance of store atmosphere when construcing store marketing strategies for store differentiation. And it is studied by classifying consumer groups according to clothing shopping motivations, comparing store atmosphere assessment and emotion response of preferred stores, and analyzing the influence store atmosphere has on store preference or impulsive purchase. The subject of this study are women in their twenties living in Seoul, 255 career women and 233 college students totaling 458, and model sampling is done by convenient sampling taking into account the type of their occupation and major. Modified survey based on references and former studies is used, and using SAS packages, methods. The results of data analysis are as follows. 1. Consumer groups are classified into the following four subdivisions: shopping involvement, leisure pursuit, financial, and shopping unconcern group. The stores women in twenties use most frequently for shopping are department stores, speciality stores, common market, discount stores, and wholesale markets, and significant difference are shown between consumer groups. 2. Consumer responses for store atmosphere preferences are shown significantly among groups when concerned with store preferences. 3. Images of store atmosphere as factor analyzed into environment factor, kindness factor, and decoration factor, Environment factor is most highly estimated in speciality stores, kindness factor in department stores, and decoration factor in common markets. 4. Leisure pursuit group is assessed to be most influenced by store atmosphere in store seleciton, impulsive purchase, and after-purchase shopping behavior, and impulsive purchase is shown highly in department stores and speciality stores.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.05b
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• pp.464-469
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• 1998

A coincidence gamma-ray spectroscopy method was applied to reduce the background radioactivity for measuring the activity of radioisotopes in a sample in the presence of environmental natural radioactivity. A HPGe detector was used for the coincident spectrum as a main detector and a NaI(Tl) scintillation detector for gating purposes as an associated detector. For coincidence spectroscopy the whole energy spectrum of associated detector was used instead of gate signals. The coincident events obtained from the gating spectrum was evaluated by a coincidence computer program in this study instead of timing circuit. In this work, the background of detection environment was reduced to factor 100 and peaks to be determined was reduced to factor 30 using the coincidence gamma-ray spectroscopy.

• Journal of the Korean Society of Industry Convergence
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• v.10 no.1
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• pp.55-63
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• 2007

The purpose of this study is to extract the main planning factors of environment friendly apartment complex through the residents' evaluations on importance levels of the planning factors. The major findings of this study are as follows; 1) Understanding on the environment friendly apartment complex is lacking, and the satisfaction level on the living space as the environment friendly apartment is very low. 2) The residents in the low-storied apartments want the introduction of facilities for energy saving, and those in the high-storied apartments demand to develop to green area. 3) In evaluating the importance of the environment friendly planning factors and the image of the apartment complex, the guarantee of green area and the development of water friendly space are closely related with the image of the apartment complex. So, they are the planning factors that should be handled importantly.

• The Journal of Korea Robotics Society
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• v.2 no.3
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• pp.227-233
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• 2007

Representing an environment as the probabilistic grids is effective to sense outlines of the environment in the mobile robot area. Outlines of an environment can be expressed factually by using the probabilistic grids especially if sonar sensors would be supposed to build an environment map. However, the difficult problem of a sonar such as a specular reflection phenomenon should be overcome to build a grid map through sonar observations. In this paper, the NRF(Neighborhood Recognition Factor) was developed for building a grid map in which the specular reflection effect is minimized. Also the reproduction rate of the gird map built by using NRF was analyzed with respect to a true map. The experiment was conducted in a home environment to verify the proposed technique.

• Management & Information Systems Review
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• v.25
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• pp.321-337
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• 2008

The house price rise suddenly is not only Economic stability but economic, mental state of a heavy burden to people. This paper is a house finance environment analyzed in this research about the rise factor of the house price and the result to present the plan to the natural disposition. The financial institute has an influence on the disguised demand extension of the house and The mortgage Lending in commercial Banks with the earnings as the stability high than the industry loaning. A house finance environment changes and will go from economic factor of the variety of the life style, the housing conditional according to the income level, a children education condition, and the population structure many this little. The disposition of the house need changes according to this and will have an influence on the house price. Necessary for a house market environment house policy of the market need which the consistency reflects so that we are suitable and is desired.

• Computers and Concrete
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• v.3 no.2_3
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• pp.145-161
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• 2006

This article involves architecting prototype-fuzzy expert system for designing the nominal cover thickness by means of fuzzy inference for quantitatively representing the environment affecting factor to reinforced concrete in chloride-induced corrosion environment. In this work, nominal cover thickness to reinforcement in concrete was determined by the sum of minimum cover thickness and tolerance to that defined from skill level, constructability and the significance of member. Several variables defining the quality of concrete and environment affecting factor (EAF) including relative humidity, temperature, cyclic wet and dry, and the distance from coast were treated as fuzzy variables. To qualify EAF the environment conditions of cycle degree of wet-dry, relative humidity, distance from coast and temperature were used as input variables. To determine the nominal cover thickness a qualified EAF, concrete grade, and watercement ratio were used. The membership functions of each fuzzy variable were generated from the engineering knowledge and intuition based on some references as well as some international codes of practice.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.561-574
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• 2011

This study investigates the ultimate factor structure of consumer dissatisfaction with the off-line purchase and usage of clothing. It identifies the determinant dimensions of consumer dissatisfaction on clothing purchase and usage and investigates the hierarchical structure of consumer dissatisfaction by assessing and comparing the effectiveness of five alternative factor structure models. A total of 300 women were online-surveyed to assess the level of dissatisfaction based on their dissatisfying experience with clothing purchases and usage in terms of product quality, price, salesperson's attitude, and store environment. The exploratory factor analysis identified the underlying dimensions of dissatisfaction: Handling, Aesthetics, Salesperson, Size, Price, Product Quality, Service, and Environment. By employing a first-order confirmatory factor analysis and higher-order confirmatory factor analysis, consumer dissatisfaction was confirmed to have a hierarchical structure with three second-order constructs Intrinsic instrument is manifested by handling, quality, and size, Intrinsic expression consists of service, salesperson, and environment, and Extrinsic circumstance contains aesthetics and price. On empirically demonstrating the multi-dimensional constructs of consumer dissatisfaction by identifying its hierarchical structure, the study provides the theoretical and practical insights to comprehend consumer purchase and post-purchase behavior. Specifically, it affords an empirical platform to extend the scope of research with condensed concepts of dissatisfaction to researchers. In addition, it also enables marketers to take a broader view of consumer dissatisfaction by providing cues about potential problems and identifying the source of those problems.

• Journal of Korean Society for Atmospheric Environment
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• v.32 no.6
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• pp.613-623
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• 2016

In this study, pilot experiments were conducted by setting operation conditions to analyze characteristics of emission for air pollutant from small two-stroke engines. Emission factors of the measured concentration of pollutant were compared with EEA. Emission factor of CO analyzed by experiments - concentration, flow rate, fuel consumption, etc.- was estimated at 816,011 g-CO/ton-fuel in average. It was confirmed that more than 80% of the fuel consumption is discharged to the Carbon Monoxide, and that as the engine load becomes higher, emission factor of CO increases in the form of log function. The average emission factor of $NO_x$ and $PM_{10}$ was $3,801g-NO_x/ton-fuel$ and $3,730g-PM_{10}/ton-fue$l each. The deviation was not large by comparing the fuel-based emission factor of EEA and the result of this study. Since considerable pollutants are expected to be discharged from the small two-stroke engines, continuous research and support of the policy is required.