• Environmental Engineering Research
• /
• 제18권1호
• /
• pp.37-43
• /
• 2013

Water distribution pipes installed underground have potential risks of pipe failure and burst. After years of use, pipe walls tend to be corroded due to aggressive soil environments where they are located. The present study aims to assess the degree of external corrosion of a distribution pipe network. In situ data obtained through test pit excavation and direct sampling are carefully collated and assessed. A statistical approach is useful to predict severity of pipe corrosion at present and in future. First, criteria functions defined by discriminant function analysis are formulated to judge whether the pipes are seriously corroded. Data utilized in the analyses are those related to soil property, i.e., soil resistivity, pH, water content, and chloride ion. Secondly, corrosion factors that significantly affect pipe wall pitting (vertical) and spread (horizontal) on the pipe surface are identified with a view to quantifying a degree of the pipe corrosion. Finally, a most reliable model represented in the form of a multiple regression equation is developed for this purpose. From these analyses, it can be concluded that our proposed model is effective to predict the severity and rate of pipe corrosion utilizing selected factors that reflect the fuzzy soil environment.

• 한국식품영양학회지
• /
• 제27권1호
• /
• pp.128-135
• /
• 2014

The purpose of this study is to analyze the gap in perceived importance-satisfaction rates of foreign Chinese students regarding the university foodservice selection attributes. All statistical analyses are conducted by the SPSS package program (ver 20.0). The results of the statistical analyses are as follows: The validity of the 22 food service selection attributes is being evaluated via the exploratory factor analysis and then five factors are extracted. The five factors are: 'Factor 1. Cleanness and service quality', 'Factor 2. Food quality and price', 'Factor 3. Physical environment', 'Factor 4. Convenience', and 'Factor 5. Service environment'. According to the results of one-way ANOVA, physical environment showed that significant differences across the periods of residence in Korea and the eating frequency at on campus foodservices. On the other hand, the food quality and price, convenience, and service environment showed that significant differences across the periods of residence in Korea. In addition, according to the Importance-Satisfaction Analysis results, 'ventilation of dining room' is the key aspect that university food service managers should reinforce. In conclusion, in order to increase the customer satisfaction rates, the food service managers should not only improve the quality of food and service but also the physical environments of the food service facility.

• 품질경영학회지
• /
• 제47권2호
• /
• pp.217-236
• /
• 2019

Purpose: This article aims 1) to identify key elements for building quality culture, 2) to design and analyze survey data from defense industry companies, and 3) to suggest directions for enhancing quality culture levels. Methods: Key elements and items for a quality culture are derived by investigating related references and using affinity diagram. Questionnaire items to investigate the quality culture level of the organizations are prepared and the survey data on the level of quality culture of military defense companies are analyzed. Results: 1) Descriptive statistical analyses are presented to compare the levels of the six key elements. 2) In each element items with low scores are identified, which should be improved. 3) Among six key elements, 'support 'element shows lowest level. 4) The quality culture level of the small-sized companies are relatively low. Conclusion: 1) To improve the quality culture level of the defense industry companies, it is necessary to provide quality education, to enhance recognition and rewards, and to invest resources for employees' self-development. 2) Small-sized companies can easily be adapted to quality-oriented cultural change if the CEO leadership focuses on quality culture.

• 대한치위생과학회지
• /
• 제5권2호
• /
• pp.61-72
• /
• 2022

Background: This study was aimed at surveying the health science students' interest, demand, and awareness of virtual reality (VR) devices for learning to accumulate data necessary to develop and implement a curriculum with VR devices. Methods: We investigated the perception of health science students regarding VR device application and utilization. Statistical analyses were performed using SPSS 25.0 (IBM SPSS Statistics). Frequency and descriptive analyses were performed for the perception level of VR device use for university education. An independent twosamples t-test was performed to statistically analyze the perception level according to the VR device experience. A p-value < 0.05 was set to indicate statistical significance. Results: To the question "Do you wish to use VR devices for educational purposes?," 73% of the participants answered "yes." To the question "Do you think VR is necessary for the course curriculum?," over 65% answered "yes." Conclusion: In this study, health science students reported a great need for VR devices for education. VR-based classroom curriculum is expected to improve students' concentration, interest, and motivation.

• 한국한의학연구원논문집
• /
• 제13권2호통권20호
• /
• pp.121-125
• /
• 2007

Background and Purpose : The purpose of this study was done to investigate what kinds of statistical techniques have been used to analyze data from oriental medicine research Methods : 135 original articles which used statistical techniques in their data analysis were selected from the articles published in The Journal of Korea Institute of Oriental Medicine(JKIOM) between 1995 to 2007. Results : Among 135 articles, 59 articles used descriptive statistics while 76 articles used inferential statistics for data analysis. For that 76 articles, two-sample t-test(33 articles), analysis of variance(29 articles), regression(9 articles), chi-square test(5 articles), nonparametic test(4 articles), Fisher's exact test(3 articles), and other test(9 articles) were chosen to analyze the data. SAS and SPSS statistical softwares(82.50%) were mostly used to analyze the data. Nonparametic tests were used to 4 articles(6.97%) of 67 articles and parametic tests were used to 63 articles(93.03%) of 67 articles. Among 29 articles used analysis of variance, duncan(8 articles), dunnet(4 articles), bonferroni(4 articles), turkey(3 articles), scheff(1 article) were used to do multiple comparison. 9 articles did not carry out the multiple comparison. Conclusions : It was found that the frequencies of statistical package used and statistical analysis used were not much by now. High level statistical analyses were not used most for oriental medicine research.

• 대한치과보철학회지
• /
• 제43권1호
• /
• pp.78-94
• /
• 2005

Purpose. The purpose of this study was to compare the effects of various surface treatments by measuring resonance frequency and histomorphometric analyses. Material and methods. In 5 adult dogs, the mandibular premolar were extracted. Six months later, 30 screw titanium implants (Dentium Co., Seoul, Korea) 6mm in length and 3.4mm in diameter, were placed in the mandibles of 5 dogs. Implants were divided into five groups following to surface treatment methods ; Group 1 is machined controls, Group 2 is sandblasted with large grit and acid-etched (SLA), Group 3 is anodized (Autoelectric Co., Korea, 660Hz, Duty10), Group 4 is hydroxyapatite(HA) coated by ion beam assisted deposition(E-beam), Group 5 is hydroxyapatite(HA) coated with Sol-gel coating process. Resonance frequency was measured implant placement immediately, and 3, 6 weeks and 10 weeks of healing perods. With the animal subject's sacrifice 10 weeks after implantation, implants were removed on bloc and histologic and computer-based histomorphometric analyses were performed. Histomorphometric analysis involved quantification of the entire bone to metal contact around the implants. Statistical analyses were performed using the SPSS for Windows (ver. 9.0 SPSS Inc.) Statistical differences were considered significant at P<0.05. Results. The results were as follows : 1) In five groups, mean value of resonance frequency analysis(RFA) were highest in group 5 (Sol-gel implant) at implantation and those of group 4 (E-beam)was highest at 10 weeks . but there was no correlation between surface treatments and RFA. 2) In all surface treatment groups, the RFA values of implants decreased until 3 weeks and increased to 10 weeks. 3) The percentage of direct bone-to-implant contact (BIC) had statistical significance between five groups in cancellous bone, (P<0.05) the percentage of bone density inside the thread had no statistical significance between five groups. (P>0.05) 4) There was a significant difference between cortical bone and cancellous bone in BIC. (P<0.05) and bone density. (P<0.05) 5) There was a correlation between the RFA value of implants at 10 weeks and BIC in cancellous bone, and between the RFA value of implants at 10 weeks and bone density in cortical bone. (P<0.05). Conclusions. These results indicate that surface treatment does not affect the implant stability in case of good bone quality.

• 디자인융복합연구
• /
• 제15권6호
• /
• pp.195-214
• /
• 2016

예측 분석은 패턴인식(Pattern recognition) 혹은 기계학습(Machine learning)으로 불리는 확률적 학습 알고리즘을 기반으로 하기 때문에 사용자가 분석 과정에 개입하여 더 많은 정보를 얻어내기 위해서는 높은 통계적 지식수준이 요구된다. 또한 사용자는 분석 결과외의 다른 정보를 확인 할 수 없고 데이터의 특성 변화와 데이터 하나하나의 특징을 파악하기 힘들다는 단점이 있다. 본 연구는 이러한 예측분석의 단점을 보완하고자 통계적인 데이터 분석 방법과 시각화 분석 방법을 결합하여 데이터 분석을 진행하였으며 통계적인 분석 방법만을 진행 할 경우 발생하는 단점을 보완하고 데이터에서 더 많은 정보를 도출해 내기 위한 방법론을 제시 하고자하였다. 이를 위해 본 연구는 영화 리뷰에서 추출한 감정 어휘가 독립변인이고 영화의 흥행 값이 종속변인인 데이터를 예제 데이터로 활용하여 진행하였다. 본 연구의 연구 방법론을 적용하였을 때의 이점은 다음과 같다. 첫째, 의사결정나무 분석에서 제시된 분할 기준이 적용될 때 마다 변하는 데이터의 패턴을 파악할 수 있다. 둘째, 제시된 최종 예측모형에 포함된 데이터들의 특성을 확인 할 수 있다. 본 연구의 시사점은 예측모형의 단점을 보완하고 데이터로부터 더 많은 정보를 추출하기 위해 통계적인 데이터 분석과 시각적인 데이터 분석을 결합하여 시행하였다는 것이다. 통계적인 분석 방법을 통해 각 변수의 관계를 파악하고 높은 예측 값을 가지는 모형을 도출하였으며, 시각화 분석에서는 인터랙션 기능을 제공함으로서 통계적으로 제시된 예측모형을 검증하고 더 다양한 정보를 도출 할 수 있게 하였다.

• Advances in Computational Design
• /
• 제3권1호
• /
• pp.87-112
• /
• 2018

In this study, it is aimed to present engineering software to estimate the structural response of concrete arch dam. Type-1 concrete arch dam constructed in the laboratory is selected as a reference model. Finite element analyses and experimental measurements are conducted to show the accuracy of initial model. Dynamic analyses are carried out by spectrum analysis under empty reservoir case considering soil-structure interaction and fixed foundation condition. The displacements, principal stresses and strains are presented as an analysis results at all nodal points on downstream and upstream faces of dam body. It is seen from the analyses that there is not any specific ratio between prototype and scaled models for each nodal point with different scale values. So, dynamic analyses results cannot be generalized with a single formula. To eliminate this complexity, the regression analysis, which is a statistical method to obtain the real model results according to the prototype model by using fitting curves, is used. The regression analysis results are validated by numerical solutions using ANSYS software and the error percentages are examined. It is seen that 10% error rates are not exceeded.

• 한국실내디자인학회논문집
• /
• 제17권5호
• /
• pp.99-106
• /
• 2008

Based on extraction items derived from previous related studies on viewing experiences in art museums, this study is conducted to investigate extraction factors that affect viewing satisfactions and to suggest a guideline for an effective viewing environment by clarifying a hierarchy among the extraction factors. For this study, a survey was given to museum visitors, and statistical analyses were conducted on data obtained from the survey. The results of this study are summarized as follows; 1. From an analysis of extraction items that affect overall viewing satisfaction, space and art works were found to be relatively satisfactory. 2. From correlation analyses of extraction items, a degree of concentration on art works was found to most 'affect the viewing satisfactions of art museums. 3. From factor analyses, extraction items were reduced to 11 extraction factors, and a simple extraction structure affecting the viewing satisfactions in art museums. 4. From multiple regression analyses, a extraction factors were derived, and a relative hierarchy among the factors was found.

• 대한지역사회영양학회지
• /
• 제11권3호
• /
• pp.383-391
• /
• 2006

The purposes of this study were to examine the impacts of characteristics of bakery cafe customers and service quality on customer perceived value, customer satisfaction, intention to revisit, and intention to recommend, and to provide comprehensive understanding on attitudes and behaviors of bakery cafe customers. The questionnaire was developed through literature review and focus group interviews and was modified after pilot test. The questionnaires for the main survey were distributed to 320 males and females aged 20 and over in Seoul. A total of 275 questionnaires were used for analyses (85.9%) and the statistical analyses were completed using SPSS Win (12.0) for descriptive analyses, regression analyses, and correlation analysis. The main results were as follows. There were significant differences of intention to revisit between groups of different gender, age, and personal expenses. The service quality of product dimension affected all tested variables, and the service quality of services and price dimension had effects on customer perceived value and intention to recommend. Customer satisfaction was a unique variable that is affected by service quality of the interior environments dimension. Overall, researchers and managers of bakery cafes should understand customer attitudes and behaviors, and the results of this study would help to establish marketing strategies that meet target customers' needs.