• The Journal of Asian Finance, Economics and Business
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• 제9권10호
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• pp.251-264
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• 2022

This study explores e-banking variables that affect client satisfaction in the Saudi Arabian banking industry spanning three dimensions: reliability, security concerns, and efficiency, which were chosen as predictors of customer satisfaction in the e-banking industry. A field survey using a self-administered questionnaire as a data collection instrument was adopted to collect the required data from a convenience sample of 250 participants of Saudi banking customers. The overall fit of the hypothesized model was tested using linear regression to find the rate of the independent factors' impact on the dependent variable. The study's findings revealed that there is a statistically significant relationship between the three dimensions and customer satisfaction in Saudi e-banking, with the largest impact being that of reliability, followed by efficiency, and finally security concerns. Also, the study found there was a significant difference in reliability which was considered more important for Saudis and there was a significant difference in efficiency, which was considered more important by males. The findings of this study suggest that these three dimensions are instrumental in e-banking customer satisfaction and that banks can gain a competitive edge by providing better services in these dimensions to sustain and develop their performance in the increasingly globalized banking industry.

• 한국치위생학회지
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• 제22권3호
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• pp.181-188
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• 2022

Objectives: This study aimed to estimate the influences of leader's political skills (LPS) on job satisfaction and organizational commitment in dental hygienists. Methods: A self-administrated questionnaire was conducted form April 1 to May 31 2020 by 209 dental hygienists in Seoul, Busan and South Gyeongsang. LPS, job satisfaction, organizational commitment were evaluated on the LPS scale, job descriptive index (JDI) and organizational commitment scale, respectively, each on five-point scale. Data were subjected to descriptive analysis, t-test, one-way ANOVA, pearson correlation and multiple linear regression analysis. Results: The overall LPS, job satisfaction and organizational commitment level of subjects were 3.53±0.63, 3.18±0.51 and 3.27±0.63. The influential factors for LPS, job satisfaction and organizational commitment were Networking ability (subcategory of LPS). Conclusions: Leaders should use the knowledge and activities newly introduced from various networks to fit the dental hospital so that members can display their more professional abilities to increase job satisfaction and organizational commitment.

• Geomechanics and Engineering
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• 제32권4호
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• pp.411-426
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• 2023

Soft clay is widely distributed in the southeast coastal areas of China. Many large underground structures, such as subway stations and underground pipe corridors, are shallow buried in the soft clay foundation, so the dynamic characteristics of the soft clay must be considered to the seismic design of underground structures. In this paper, the dynamic characteristics of saturated soft clay in Shanghai under the bidirectional excitation for earthquake loading are studied by dynamic triaxial tests, comparing the backbone curve and hysteretic curve of the saturated soft clay under different confining pressures with those under different vibration frequencies. Considering the coupling effects of the confining pressure and the vibration frequency, a fitting model of the maximum dynamic shear modulus was proposed by the multiple linear regression method. The M-D model was used to fit the variations of the dynamic shear modulus ratio with the shear strain. Based on the Chen model and the Park model, the effects of the consolidation confining pressure and the vibration frequency on the damping ratio were studied. The results can provide a reference to the earthquake prevention and disaster reduction in soft clay area.

• 한국융합학회논문지
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• 제8권2호
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• pp.53-62
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• 2017

이 연구는 중국 대학생들의 한국 의료관광 융합서비스 이용에 대한 선호와 만족에 영향을 미치는 요인들을 파악하여 중국 의료관광객 유치를 위한 방안을 마련하는데 필요한 기초자료를 제공하기 위한 것이다. 이 연구를 위하여 구조화된 설문지를 개발하여 2015년 5월 1일부터 15일 사이에 중국 국제대학생 175명을 대상으로 자료를 수집하였다. 한국 의료 서비스에 대한 기대와 평가를 비교하기 위하여 t-검정을 실시하였다. 한국 의료관광 서비스 이용에 대한 만족도에 영향을 미치는 요인들을 파악하기 위하여 선형회귀모형을 추정하였다. 다양한 회귀모형을 추정하였으며, 그 중에서 간결하면서 한국 의료서비스에 대한 만족도의 변량을 비교적 잘 설명해주는 최선의 모델을 선정하였다. 회귀모형 추정 결과 기술, 의료관광서비스의 질, 의료비용은 한국 의료서비스 이용에 대한 만족도와 유의하게 연관되어 있었다. 이 연구결과에 따르면, 중국 대학생들을 대상으로 한국의 의료서비스에 대한 이해를 높일 수 있는 전략이 필요하다. 중국 의료관광객 유치 활성화를 위해서는 기술수준의 제고, 의료서비스의 질 향상, 합리적인 비용의 설정도 중요하다.

• 한국의류학회지
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• 제35권8호
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• pp.933-945
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• 2011

This research proposes a pattern design method for 24 pleated skirts in order to develop an automatic draft program for pleated skirts that will enhance fit and enable mass production. The research method and results are outlined as follow. 1. Three-dimensional body measurements were conducted on 30 randomly selected women in their 20s. By using 34 body measurement items and 6 types of calculations among the items, the items required in the designing of an original pleated skirt were extracted. They were then interpreted through correlation analysis, variance analysis, a t-test, linear regression analysis and multiple regression analysis. 2. An extra amount was added to the waist measurement and external capsule measurement according to the number of times the pleats coincided and the thickness of the fabric by the degree of polymerization of the horizontal cross section (the test of this research: 0.518mm). The extra amount of waist measurement was 3.6cm while the hip measurement was 4.3cm larger than the hip measurement combined with the external capsule measurement and the extra amount. 3. Based on the ${\pm}$standard deviation/2 as the average of the difference between the external capsule measurement and waist measurement, the subjects were classified into 3 somatotypes. Somatotype 1 presented an average total length of waist darts of 23.6cm while that of somatotype 2 was 26.2cm and that of somatotype 3 was 30.2cm. It has been confirmed that there is a significant difference among somatotypes in the total length of waist darts from the front center to the front side and the total length of waist darts from the side to the back center in terms of the average amount of waist darts for every 12 parts on the WL.

• Advances in environmental research
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• 제3권3호
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• pp.231-251
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• 2014

The present study examines the phosphate adsorption potential and behavior of mixture of Ground Burnt Patties (GBP), a solid waste generated from cooking fuel used in earthen stoves and Red Soil (RS), a natural substance in fixed bed column mode operation. The characterization of adsorbent was done by Proton Induced X-ray Emission (PIXE), and Proton Induced ${\gamma}$-ray Emission (PIGE) methods. The FTIR spectroscopy of spent adsorbent reveals the presence of absorbance peak at $1127cm^{-1}$ which appears due to P = O stretching, thus confirming phosphate adsorption. The effects of bed height (10, 15 and 20 cm), flow rate (2.5, 5 and 7.5 mL/min) and initial phosphate concentration (5 and 15 mg/L) on breakthrough curves were explored. Both the breakthrough and exhaustion time increased with increase in bed depth, decrease in flow rate and influent concentration. Thomas model, Yoon-Nelson model and Modified Dose Response model were used to fit the column adsorption data using nonlinear regression analysis while Bed Depth Service Time model followed linear regression analysis under different experimental condition to evaluate model parameters that are useful in scale up of the process. The values of correlation coefficient ($R^2$) and the Sum of Square Error (SSE) revealed the Modified Dose Response model as the best fitted model to the experimental data. The adsorbent mixture responded effectively to the desorption and reusability experiment. The results of this finding advocated that mixture of GBP and RS can be used as a low cost, highly efficient adsorbent for phosphate removal from aqueous solution.

• 한국잡초학회지
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• 제30권1호
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• pp.50-57
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• 2010

본 연구는 환삼덩굴의 생태적 자연출아를 서울과수원의 자연포장 조건에서 평가하여 환삼덩굴의 지역별 출아시기를 예측하고자 실시하였다. 환삼덩굴의 일별 및 유효적산온도별 누적 출아율을 Gompertz 모델을 이용하여 회귀분석하였다. Gompertz 모델은 환삼덩굴의 출아를 지역에 상관없이 양호하게 설명하였으며 환삼덩굴의 최초 출아 유효적산온도는 $56.7^{\circ}C$이며, 최대출아율 50%에 도달하는데 필요한 유효적산온도는 $76.3^{\circ}C$로 계산되었다. 2000년부터 2009년까지 지난 10년간의 지역별 일평균기온을 바탕으로 최초 출아에 필요한 유효적산온도 $56.7^{\circ}C$에 도달하는 시기를 예측한 결과 대구가 3월 21일로 가장 빨랐고 광주(3월 26일), 전주(3월 29일), 대전(3월 30일), 서울(4월 1일), 수원(4월 4일), 춘천(4월 6일), 철원(4월 12일) 순이었다. 같은 방식으로 최대출아율의 50%에 도달하는 출아시기를 예측한 결과 대구가 3월 25일로 가장 빠르며 광주(3월 30일), 전주(4월 2일), 대전(4월 3일), 서울(4월 5일), 수원(4월 8일), 춘천(4월 9일), 철원(4월 15일) 순이었다.

• Journal of Biosystems Engineering
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• 제43권2호
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• pp.148-159
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• 2018

Purpose: Unmanned air vehicle (UAV) remote sensing was applied to test various vegetation indices and make prediction models of protein content of rice for monitoring grain quality and proper management practice. Methods: Image acquisition was carried out by using NIR (Green, Red, NIR), RGB and RE (Blue, Green, Red-edge) camera mounted on UAV. Sampling was done synchronously at the geo-referenced points and GPS locations were recorded. Paddy samples were air-dried to 15% moisture content, and then dehulled and milled to 92% milling yield and measured the protein content by near-infrared spectroscopy. Results: Artificial neural network showed the better performance with $R^2$ (coefficient of determination) of 0.740, NSE (Nash-Sutcliffe model efficiency coefficient) of 0.733 and RMSE (root mean square error) of 0.187% considering all 54 samples than the models developed by PR (polynomial regression), SLR (simple linear regression), and PLSR (partial least square regression). PLSR calibration models showed almost similar result with PR as 0.663 ($R^2$) and 0.169% (RMSE) for cloud-free samples and 0.491 ($R^2$) and 0.217% (RMSE) for cloud-shadowed samples. However, the validation models performed poorly. This study revealed that there is a highly significant correlation between NDVI (normalized difference vegetation index) and protein content in rice. For the cloud-free samples, the SLR models showed $R^2=0.553$ and RMSE = 0.210%, and for cloud-shadowed samples showed 0.479 as $R^2$ and 0.225% as RMSE respectively. Conclusion: There is a significant correlation between spectral bands and grain protein content. Artificial neural networks have the strong advantages to fit the nonlinear problem when a sigmoid activation function is used in the hidden layer. Quantitatively, the neural network model obtained a higher precision result with a mean absolute relative error (MARE) of 2.18% and root mean square error (RMSE) of 0.187%.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2008년도 정기 학술대회
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• pp.288-293
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• 2008

The standard prestressed concrete I-girder bridge (PSC I-girder bridge) is one of the most prevalent types for small and medium bridges in Korea. When determining the member forces in a section to assess the safety of girder in this type of bridge, the general practice is to use the simplified practical equations or the live load distribution factors proposed in design standards rather than the precise analysis through the finite element method or so. Meanwhile, the live load distribution factors currently used in Korean design practice are just a reflection of overseas research results or design standards without alterations. Therefore, it is necessary to develop an equation of the live load distribution factors fit for the design conditions of Korea, considering the standardized section of standard PSC I-girder bridges and the design strength of concrete. In this study, to develop an equation of the live load distribution factors, a parametric analysis and sensitivity analysis were carried out on the parameters such as width of bridge, span length, girder spacing, width of traffic lane, etc. Then, an equation of live load distribution factors was developed through the multiple linear regression analysis on the results of parametric analysis. When the actual practice engineers design a bridge with the equation of live load distribution factors developed here, they will determine the design of member forces ensuring the appropriate safety rate more easily. Moreover, in the preliminary design, this model is expected to save much time for the repetitive design to improve the structural efficiency of PSC I-girder bridges.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1259-1259
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• 2001

Meat becomes brown and rancid during storage in the refrigerator and display in the case. Color changes, metmyoglobin formation and lipid oxidation are the important problems in the transportation / distribution of meat and retail display. The freshness of meat is determined by the sense of vision and smell. Since conventional method determining lipid oxidation is time consuming and destructive (it needs to homogenize meat with reagents, filtrate, time for reaction and read optical density using spectroscopy), more rapid and nondestructive technical tools are desired. The objective of this work was to evaluate near-infrared spectroscopy as an analytical tool for determining meat color, metmyoglobin formation and lipid oxidation. in beef, pork and chicken. Semitendinosus and longissimus thoracis muscles from six beef steers, biceps femoris and longissimus thoracis muscles from twelve LWD crossbred pigs, and superficial pectoral muscles from twenty-four broilers were used. About a 5-cm diameter and 1-cm thick sample (20.0g) was cut from the muscle and placed on plastic foam, over-wrapped with PVC film, and displayed under flourescent lights at 4 degrees C. during 10 days for beef and pork or 4 days for chicken. The spectra was measured by NIR systems Model 5500 Spectrophotometer using fiber optic scan at range of 400 - 1100 nm. Data were recorded at 2 nm intervals and 10 scans / 10 sec were averaged for every sample. Data obtained were saved as log 1/Re, where Re is the reflectance energy, and then mathematically transformed to second derivatives to reduce effects of differences in particle size. $L^{*}$, $a^{*}$ and $b^{*}$, and metmyoglobin formation were determined by conventional spectrophotometer using the integrating sphere unit. 2-Thiobarbituric acid reactive substances (TBARS) were measured for lipid oxidation. A multiple linear regression was used to find the equation which would best fit the data. The number of wavelengths used in the equation was selected based on the fewer number compared to the increasing multiple correlation and Decreasing standard error. (omitted)