• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.1167-1174
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• 2020

This study aims to evaluate the effect of computerized tax services in improving tax performance by moderating governance principles in Jordanian tax income departments. The study is based on a questionnaire distributed to income tax auditors, who were chosen by the simple random sampling method, so that 170 questionnaires were subjected to statistical analysis. The study models were formulated in the form of simple and multiple regression equations to test the hypotheses of the study, in addition to relying on One Sample T-test to calculate the mean of questionnaire answers. The most prominent research results is that the application of tax governance principles through the provision of computerized tax services is reflected in the increase in confidence between taxpayers and income tax departments, the efficiency of tax performance, and tax proceeds. Also, the study pointed out the importance of the income tax departments to prepare strategic plans regarding the development and the follow-up of modern technologies related to computerized tax services. It especially regards linking and collecting tax from taxpayers such as via electronic tax payment and collection system, in order to ensure the speed of completion, accuracy of calculation, and raising the efficiency of tax performance.

• 유통과학연구
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• 제10권11호
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• pp.31-37
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• 2012

Purpose - This study was conducted under the assumption that brand A, a store of company Z of Pangyo, with a new store at Pangyo station is targeting the Bundang-gu area of the newly developed city of Seongnam. Research design, data, methodology - As a result of demand forecasting using geometric series models, an extrapolation of past trends provided the coefficient estimates, without utilizing regression analysis on a constant increase in children's wear, for which the population size and estimated parameter were required. Results - Demand forecasting on the basis of past trends indicates the likelihood that sales of discount stores in the Bundang area, where brand A currently has a presence, would fetch a higher estimated value than that of the average discount store in the country during 2015. If past trends persist, future sales of operational stores are likely to increase. Conclusions - In evaluating location using the simple weighting model, Seohyun Lotte Mart obtained a high rating amongst new stores in Pangyo, on the basis of accessibility, demand class, and existing stores. Therefore, when opening a new counter at a relevant store, a positive effect can be predicted.

• Geomechanics and Engineering
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• 제20권3호
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• pp.243-254
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• 2020

Due to the permanent damage to structures during earthquakes, soil liquefaction is an important issue in geotechnical earthquake engineering that needs to be investigated. Typical examples of soil liquefaction have been observed in many earthquakes, particularly in Alaska, Niigata (1964), San Fernando (1971), Loma Prieta (1989), Kobe (1995) and Izmit (1999) earthquakes. In this study, liquefaction behavior of uniform sands of different grain sizes was investigated by using the energy-based method. For this purpose, a total of 36 deformation-controlled tests were conducted on water-saturated samples in undrained conditions by using the cyclic simple shear test method and considering the relative density, effective stress and mean grain size parameters that affect the cumulative liquefaction energy. The results showed that as the mean grain size decreases, the liquefaction potential of the sand increases. In addition, with increasing effective stress and relative density, the resistance of sand against liquefaction decreases. Multiple regression analysis was performed on the test results and separate correlations were proposed for the samples with mean grain size of 0.11-0.26 mm and for the ones with 0.45-0.85 mm. The recommended relationships were compared to the ones existing in the literature and compatible results were obtained.

• 한국지진공학회논문집
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• 제15권3호
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• pp.11-26
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• 2011

비탄성 변위비는 최대 선형 탄성변위에 대한 최대 비탄성 변위의 비로서 정의된다. 비탄성 변위비는 비탄성 응답의 계산을 하지 않고도 최대 탄성변위로부터 최대 비탄성변위를 직접적으로 평가 가능하게 한다. 비탄성 변위비에 대한 기존의 연구는 이선형 또는 강성저하시스템과 같은 분할선형시스템에 국한되었다. 본 논문에서는 근거리 및 원거리 지진을 받는 완만한 곡선형 이력거동 시스템의 비탄성 변위비에 대하여 연구하였다. 두 단계의 회귀분석 과정을 통하여 비탄성 변위비에 대한 간편식을 제안하였다.

• 한국조경학회지
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• 제21권3호
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• pp.65-75
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• 1993

This study was carried out to analyze the user's perception of crowding in lawn areas in parks. On-site questionnaire survey was executed to study the variables which influence the Perception of Crowding(PC). The survey sites were lawn areas at and in Bo-mun Resort Complex in Kyung-ju. The major results were as follows; 1. Generally, in site's frequency of use, 2-3 times a year ranked as the highest (49%), and in user's residence, Busan and Pohang were highly ranked. As the purpose of visit, two survey sites showed differently. In , family picnic ranked high, but in case of , it had the tendency to the use of adult group and the rally for union. 2. By the results of the analysis of variables related to perceived crowding(PC), perceived density(PD) was the most influensive variables, nuisances by other users(NU) and expected crowding(EC) were another influensive variables. The candidate regression model is, PC=-0.125+0.597(PD)+0.409(NU)+0.307(EC) (R2=0.4592). 3. In variables, related to use density, perceived density(PD) was more influensive and significant variables than actual use density(AD). 4. In planning and design of lawn areas in park, is recommended than . The lawn areas of are more desirable and accommodative than in overuse situation.

• 한국농공학회논문집
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• 제64권2호
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• pp.71-83
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• 2022

In this study, an indicator and assessment system for evaluating the monthly hydrological cycle was prepared using simple factors such as the landuse status of the watershed and topographic characteristics to the dynamic water balance model (DWBM) based on the Budyko framework. The parameters a1 of DWBM are introduced as hydrologic cycle indicators. An indicator estimation regression model was developed using watershed characteristics data for the introduced indicator, and an assessment system was prepared through K-means cluster analysis. The hydrological cycle assessment system developed in this study can assess the hydrological cycle with simple data such as land use, CN, and watershed slope, so it can quickly assess changes in hydrological cycle factors in the past and present. Because of this advantage is expected that the developed assessment system can predict changes in the hydrological cycle and use an auxiliary tool for policymaking.

• 한국콘텐츠학회논문지
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• 제13권11호
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• pp.913-923
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• 2013

본 연구는 스포츠클럽 활동 참여가 학교체육수업에 미치는 영향을 규명하고자 청소년들의 스포츠클럽 활동과 학교 체육수업의 효율적이고 체계적인 관리를 위한 기초자료로 제공하고자 하였다. D광역시에 소재한 3개의 남 여 중학생을 단순무작위표집법(simple random sampling)을 활용하여 최종 438명을 연구 대상으로 선정하였다. 수집된 자료는 SPSS 20.0 프로그램을 이용하여 탐색적 요인분석, 분산분석, 상관분석, 회귀분석을 실시하였다. 본 연구의 결과는 다음과 같다. 첫째, 개인적 특성에 따른 스포츠클럽 수업 만족도와 학교 체육수업 만족도에서 대부분 유의한 차이가 나타났으며 둘째, 스포츠클럽 활동은 학교 체육수업에 영향을 미치는 것으로 나타났다.

• 센서학회지
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• 제15권6호
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• pp.433-441
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• 2006

Because of the low power and low rate of a sensor network, outlier is frequently occurred in the time series data of sensor network. In this paper, we suggest periodic pattern analysis that is applied to the time series data of sensor network and predict outlier that exist in the time series data of sensor network. A periodic pattern is minimum period of time in which trend of values in data is appeared continuous and repeated. In this paper, a quantization and smoothing is applied to the time series data in order to analyze the periodic pattern and the fluctuation of each adjacent value in the smoothed data is measured to be modified to a simple data. Then, the periodic pattern is abstracted from the modified simple data, and the time series data is restructured according to the periods to produce periodic pattern data. In the experiment, the machine learning is applied to the periodic pattern data to predict outlier to see the results. The characteristics of analysis of the periodic pattern in this paper is not analyzing the periods according to the size of value of data but to analyze time periods according to the fluctuation of the value of data. Therefore analysis of periodic pattern is robust to outlier. Also it is possible to express values of time attribute as values in time period by restructuring the time series data into periodic pattern. Thus, it is possible to use time attribute even in the general machine learning algorithm in which the time series data is not possible to be learned.

• 복식문화연구
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• 제16권3호
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• pp.518-532
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• 2008

The purposes of this study were to investigate the relationships between women's self-image and the preference and the wearing frequency of knit-wears, and to examine the characteristics of the design elements that influence the preferred knit-wear images. The subjects were 277 female college students and working women living in metropolitan area of Seoul. The data were analyzed by using descriptive analysis, factor analysis, Cronbach's $\alpha$-reliability coefficient, Pearson's correlation coefficient, and multiple regression analysis. Four dimensions of women's self-images were derived by factor analysis; elegance, conservativeness, individuality, and maturity. Women with conservative self-image preferred simple knit-wears and women with high rate for individuality preferred splendid and sporty knit-wears. Women with elegant self-image disliked sporty knit-wears. Women with conservative self-image preferred white, and those who rated their self-image to be individuality preferred various colors including yellow, blue, green, purple, pink, and sky-blue. Women with mature self-image preferred black and beige. Women with individuality as their self-image preferred jacquard pattern and abstract pattern. There was a higher wearing frequency for all four seasons for women with conservative self-image, and there was higher wearing frequency in the winter for those with elegant self-images. Women who preferred simple knit-wears showed preference for single color with no prints and low chroma color, and those who preferred sporty knit-wears showed preference for elastic materials. Women who preferred neat and elegant knit-wears showed preference for argyle check pattern.

• 성인간호학회지
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• 제28권3호
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• pp.279-287
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• 2016

Purpose: The purpose of this study was to identify factors influencing a family's quality of life (QoL) when one member has a liver transplantation. Methods: A total of 98 families were asked questions about characteristics, stress, social support and QoL. The instruments used for this study were the Stress Scale for Families of Liver Transplantation Recipients, the Personal Resources Questionnaire, the Korean version of QoL Simple Type Scale. Data were analyzed by t-test, ANOVA, Pearson's correlation coefficient and multiple regression. Results: The mean scores of stress was $2.58{\pm}0.75$ and of social support was $4.81{\pm}0.87$. The mean of the QoL was $3.39{\pm}0.60$. Quality of life had significant correlations with stress and social support. Using multiple regression analysis, the QoL was significantly influenced by social support, stress and monthly average household income. Conclusion: The results suggest that social support, stress and income should be considered in developing the nursing interventions to improve the QoL of families of patients with liver transplantation.