검도 게재연구논문에 활용된 통계 기법의 타당성 평가

김형룡(Kim, Hyung-Ryong) 한국체육과학회 2017 한국체육과학회지 Vol.26 No.5

The purpose of this study were to evaluate validity for statistic technique applied to Kendo studies published at Domestic Journals. To achieve this purpose, We entered “Kendo” to search engine of web-site RISS(Research Information Sharing Service: www.riss.kr), selected 33 quantitative paper related “Kendo“ in this study, finally. And we evaluated these papers via index suggested Kim. and Kim(1990), Choi. et al.(1990). Statistic technique used in these studies related “Kendo” appeared to apply frequency analysis, chi-square, t-test, ANOVA, correlation analysis, regression analysis, factor analysis, and structural equation model. and We could find statistical error in selected papers mostly. And results of evaluation on validity of statistical technique applied as follows: First, a statistical assumption were ignored in most papers. Second, a statistical procedure were left out portion of papers. Finally, a statistic were left out portion of statistics techniques.

통계학적 기법을 이용한 도로 비점오염물질 유출특성

김석구 ( Seog Ku Kim ) 한국수처리학회 2014 한국수처리학회지 Vol.22 No.3

The purpose of this research is to quantify the pollutant concentrations from driveway sites. For this aim, the magnitude and nature of the emission of the runoff pollutants were investigated. A statistical summary for the concentration characteristics of driveway runoff was resulted from various analysis techniques. The 95 % confidence intervals of washed-off pollutant concentration were ranged 82.4-141.4 mgL-1 for TSS, 53.27-87.64 mgL-1 for Turbidity, 18.95-38.65 mgL-1 for BOD, 34.04-59.23 mgL-1 for COD, 16.39-27.39 mgL-1 for DOC, 4.27-5.58 mgL-1 for TN and 0.25-0.34 mgL-1 for TP, showing high values based on the surface or lake quality standards in Korea. The concentrations of water quality constituents in urban stormwater were often expressed in terms of probability statistics such as mean, standard deviation and selected quintiles. This study looks at the concentration changes and characteristics during storm occurrence in driveway site. The new concept explaining the relationship among the emission effects of runoff pollutants were suggested using statistical techniques. Based on the results of this and the related investigations, actions were taken to manage the driveway runoff.

국내 한국어교육 양적 연구 통계 기법 사용의 동향과 제안점

김중섭 한글학회 2022 한글 Vol.- No.337

This study examined trends in the use of statistical techniques in quantitative research on Korean education. This paper gives suggestions for how statistical techniques should be used in quantitative research based on these results. In this study, trends in Korean education research papers published in 한국어교육 (Journal of Korean Language Education), 이중언어학 (Bilingual Research), and 국어국문학(Korean Language and Literature) were analyzed by year, sample size, and research field. Through a Korean Journal Citation Index search, 221 papers published between 2000 and 2021 were selected for analysis. Analysis results showed that the amount of research using statistical techniques grew significantly between 2015 and 2021. In addition, by 2021, 15 different types of statistical analysis were being used. However, problems have emerged as the result of the increasing use of statistical research techniques. This paper presents solutions to these problems. 본 연구에서는 국내 한국어교육 연구 중에 양적 연구 통계 기법 사용의 동향을 고찰해서 그 문제점을 살펴보고 연구 제안점을 제시하고자 한다. 이를 위하여 <한국어교육>, <이중언어학>, <국어국문학> 학술지에서 발표된 한국어교육 연구 논문을 대상으로 연도별, 표본 규모별, 연구 분야별로 나누어 동향을 분석하였다. ‘한국학술지인용색인’ 검색을 통해 2000년부터 2021년까지의 학술지 논문을 검색하고 원문을 검토하여 분석 대상 논문 221편을 선정하였다. 분석한 결과로 통계 기법을 사용한 연구물은 2015년부터 2021년 사이에 많이 발표되었다. 또한, 연구물에 사용된 통계 기법 종류가 점점 다양해졌으며 2021년에는 약 15가지 통계 기법이 확장되었다는 것을 알 수 있다. 따라서 양적 연구 통계 기법의 사용이 증가함에 따라 나타난 문제점을 분석하고, 문제 해결을 위한 제안점도 제시하였다.

상업스포츠 서비스제공자와 소비자간의 상호작용과 고객만족 및 재등록의사에 미치는 영향

김영준 한국체육과학회 2004 한국체육과학회지 Vol.13 No.2

This study was to analysis the social interaction between service offerer and consumer on satisfaction and adherence of participation at the commercial sport center. To attain the goal of the study described above paragraphs, some members of commercial sports center held in Seoul were set as a collected group. Then, using the cluster random sampling method, finally drew out and analyzed 225 people in total.The material collection device was the brochure named <the social interaction, satisfaction and adherence of participation>. The result of reliability check up was here below; over Chronbach' α=.80. To analyze materials, reliability analysis, multiple-regression and path analysis were used as statistic analysis techniques.The conclusion based on above study method and the result of material analysis are here below.First, social interaction influences on the satisfaction of participation at the commercial sports center.Second, social interaction influences on the adherence of the participation at the commercial sports center.Third, there exists significant casual relationship among social interaction and satisfaction, and adherence of participation.

통계적 기법을 통한 유압구동 부재의 마찰계수 분석

류미라(M.R Ryu),배효준(H.J Bae),이상재(S.J Lee),박흥식(H.S Park),전태옥(T.O Jun) 한국트라이볼로지학회 2003 한국트라이볼로지학회 학술대회 Vol.36 No.-

We measure generally mean frictional coefficient in order to know the moving state of lubricated machine. If correct analysis of frictional coefficient on working condition for lubricated machine can be possible, it can be effect on diagnosis of lubricated machine. But mean frictional coefficient of it is progressed always unstably with a large amplitude. In this case, it is difficult of measuring the correct frictional coefficient. The purpose of this study is, carried out to get the working condition with a minimum frictional coefficient of hydraulic actuator materials using statistical techniques.

실험계획법에 의한 자동차 트랜스미션 기어 소재의 손상상태 예측

배효준(H. J. Bae),류을현(U. H. Ryu),전성재(S. J. Jun),박흥식(H. S. Park) 한국트라이볼로지학회 2004 한국트라이볼로지학회 학술대회 Vol.38 No.-

The average frictional coefficient was used generally to analyze the failure condition of lubricated machine. But It is difficult of getting the correct friction coefficient because the average frictional coefficient of it is progressed always unstably with a large amplitude on driving condition. If correct analysis of frictional coefficient on working condition for lubricated automobile transmission gear can be possible, it can be effect on diagnosis of failure condition. The purpose of this study is carried out to analyze friction factors affecting on friction coefficient of SCM420 and NT100 for prediction of failure condition of transmission gear materials by statistical techniques. The results show that the most important friction factors affecting on friction coefficient was applied load, next was sliding speed and materials.

요인배치법에 의한 기어용 소재의 마찰계수 분석

배효준(H. J. Bae),조연상(Y. S. Cho),우규성(G. S. Woo),박흥식(H. S. Park) 한국트라이볼로지학회 2003 한국트라이볼로지학회 학술대회 Vol.37 No.-

The average frictional coefficient was used generally to analyze the moving state of lubricated machine. But It is difficult of getting the correct friction coefficient because the average frictional coefficient of it is progressed always unstably with a large amplitute on driving condition. If correct analysis of frictional coefficient on working condition for lubricated machine can be possible, it can be effect on diagnosis of lubricated machine. The purpose of' this study is carried out to get the working condition with a minimum frictional coefficient of transmission gear materials using statistical techniques.

수출통관자료의 통계오류 검증방법

송광열(Song Kwang Ryeol),김영춘(Kim Young Chun),김효중(Kim Hyo Jung) 한국관세학회 2004 관세학회지 Vol.5 No.3

There are many problems in export trade data. This give rise to distrust of trade statistics. Most of all we survey random sample to estimate error rate because we don't know how many there are. This error rate for all export data recorded in first half 2004 is estimated by 2% and consists of many items-price, quantity and weight. We adopt to statistical technique so that solve these errors. First, we use an unit of mean price besides of standard price, which can be calculated by HS. This result that detection rate of errors estimated by 11.5%. Second we inspect trade data with fault using regression model.

공간통계기법을 이용한 도시공원 분포의 공간적 패턴탐색 연구-서울시를 사례로-

김진원,윤병국,윤성식 한국관광학회 2014 관광학연구 Vol.38 No.6

도시공원은 공공위락시설로서, 도시민들에게 다양한 위락적, 환경적, 교육적, 사회적, 경제적 가치들을 제공한다. 따라서 도시공원 분포의 공간적 패턴들을 탐색하는 것은 보다 효과적인 위락 계획 및 정책수립을 위한 핵심과정이다. 본 연구의 목적은 서울시 도시공원들의 공간적 패턴들을 탐색하는 것으로서, 도시공원의 공간적 분포특징들과 전역적, 국지적 차원에서의 도시공원에 대한 지역별 접근성의 공간적 패턴들을 탐색하기 위하여 점 패턴 분석이나 탐색적 공간 자료 분석과 같은 다양한 공간통계기법들이 사용되었다. 분석결과 서울시의 도시공원의 분포는 공간적으로 균등하지 않은 것으로 나타났다. 세부적으로 도시공원의 접근성에 대한 많은 핫스팟 지역들은 주로 남쪽지역(송파구, 서초구, 강남구, 노원구(예외), 양천구)에서 관측된 데 비해, 콜드스팟 지역들은 주로 북쪽지역(종로구,성북구, 은평구)에서 관측되었다. 이와 같은 결과들은 도시공원에 관한 보다 효과적인 여가계획 및 정책수립을 위한 유용한 자료로 활용될 수 있을 것이다. Urban parks have been recognized as one of the important recreational facilities with recreational, environmental, educational, social, and economic significances. Exploring the spatial patterns of urban park distribution is an essential responsibility of public leisure providers for establishing better recreation policy and planning. The purpose of this study is to explore the spatial patterns of the urban park distribution in Seoul Metropolitan City, South Korea. Several spatial statistical techniques based on point pattern analyses and exploratory spatial data analysis was employed to explore the spatial patterns of urban parks distribution and relevant area park accessibility at global and local scales. The results indicated that urban parks in Seoul were unevenly distributed. Specifically, a number of hot spots were located within Southern areas (Songpa-gu, Seocho-gu, Gangnam-gu, Nowon-gu, Yangcheon-gu), while the distribution of cold spots were observed within Northern areas (Jongno-gu, Seongbuk-gu, Eunpyeong-gu. These findings are useful in helping policy makers establish more effective recreation policy and planning through providing overall identification on distribution of urban parks.

Implementation of Growth Management System of Strawberries Using Statistical Regression Model and Image Processing Techniques

조완현(Wanhyun Cho),김상균(Sangkyoon Kim),나명환(MyungHwan Na),김덕현(Deok Hyeon Kim) 한국자료분석학회 2020 Journal of the Korean Data Analysis Society Vol.22 No.1

In this paper, we try to develop a growth management system that can maximize the harvest by examining frequently the growing status of fruit trees using statistical regression model and image processing technique. First, we segment the background, stem and strawberry body from a strawberry image. Second, we calculate the height and width of the strawberry by counting number of pixels from the grid given in the background. Third, a multiple regression model is used to derive a predictive function that can predict its weight from the given height and width of strawberries. Fourth, the accuracy of the prediction is verified by comparing the actual value with the predicted value of the weight of the strawberry using the verification data. Fifth, we conducted experiments using verification images to verify the performance of the constructed prediction model. From the experimental results, the value of the coefficient of determination for the constructed model is 0.98771, which is very high value. Finally, based on the algorithms derived so far, we have developed a platform that can actually be used to manage strawberry growth in farms.