• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.205-212
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• 2022

The study was to examine the effect that perceived stress, self-efficacy, Interpersonal relationship ability affect resilience of Humanities and Social Sciences undergraduate students. Population of this study were 330 students in B city. Data were analyzed by a real number, percentage, Mean, SD, t-test, ANOVA, Pearson correlation coefficient, logistic regression analyzation using SPSS 22.0. Resilience mean of population was 3.34±0.45. Resiilence of population had a positive correlation with self-efficacy(r=.521, p<.001), Interpersonal relationship ability(r=.678, p<.001) and had a negative correlation with perceived stress(r=.234, p<.001). The factors affected to resilience of population were self-efficacy(β=.280, p<.001), Interpersonal relationship ability(β=.394, p<.001), prceived stress((β=-.191, p<.001), R² was 53.3%. This results indicated the factors that affect resilience of Humanities and Social Sciences undergraduate students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.557-564
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• 2023

The purpose of this study was to examine the relationship between perceived stress, college life adjustment, and interpersonal relationship ability in nursing college students and investigate whether or not interpersonal relationship ability mediate the relationship between perceived stress and college life adjustment. Data were collected from 281 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, multiple regression, and sobel test using SPSS/WIN 23.0. The degree of college life adjustment in nursing students was 3.38±0.58. There was negative correlation between college life adjustment and perceived stress(r=-.478, p<.001), positive correlation between college life adaptation and interpersonal relationship ability(r=.617, p<.001). The interpersonal relationship ability had partial mediating(β=.629, p<.001) effect between perceived stress and college life adjustment among nursing students. Therefore, in order to promote college life adjustment of nursing students, and decrease perceived stress, it is necessary to development education and program that to improve interpersonal relationship ability.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.527-534
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• 2016

The emergent information society requires the talent for creative thinking based on problem-solving skills and comprehensive thinking rather than simple memorization. Therefore, the Korean curriculum has also changed into the direction of the creative thinking through increasing short-answer questions that can determine the overall thinking of the students. However, their scoring results are a little bit inconsistency because scoring short-answer questions depends on the subjective scoring of human raters. In order to alleviate this point, an automated scoring system using a machine learning has been used as a scoring tool in overseas. Linguistically, Korean and English is totally different in the structure of the sentences. Thus, the automated scoring system used in English cannot be applied to Korean. In this paper, we introduce an automated scoring system for Korean short-answer questions using predictability and unanimity. We also verify the practicality of the automatic scoring system through the correlation coefficient between the results of the automated scoring system and those of human raters. In the experiment of this paper, the proposed system is evaluated for constructed-response items of Korean language, social studies, and science in the National Assessment of Educational Achievement. The analysis was used Pearson correlation coefficients and Kappa coefficient. Results of the experiment had showed a strong positive correlation with all the correlation coefficients at 0.7 or higher. Thus, the scoring results of the proposed scoring system are similar to those of human raters. Therefore, the automated scoring system should be found to be useful as a scoring tool.

• Therapeutic Science for Rehabilitation
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• v.13 no.2
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• pp.41-51
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• 2024

Objective : This study aimed to assess the applicability of the Yonsei Lifestyle Profile (YLP), initially developed for adults, for adolescents and verify its reliability and validity. Methods : This study evaluated the reliability and validity of the YLP among 436 middle and high school students in South Korea. The internal consistency of this scale was analyzed using Cronbach's alpha and Spearman-Brown's coefficient. Concurrent validity was assessed using Pearson's correlation coefficient with the Korean Youth Physical Activity Questionnaire, the Korean version of the Children and Adolescents Participation Scale, and the Nutrition Quotient for Adolescents. Results : The overall internal consistency of the YLP items demonstrated high reliability, with a Cronbach's α of .811 and Spearman-Brown's coefficient of .779. Significant positive correlations were observed for physical activity (r=.555, p<.01), activity participation (r=.177, p<.01), and dietary habits (r=.633, p<.05), indicating consistent correlations with the related scales. Conclusion : This study analyzed the YLP targeting adolescents and confirmed its high reliability and significant validity in the areas of physical activity, activity participation, and dietary habits. These findings suggest that the YLP can be utilized as a reliable tool for evaluating healthy lifestyles among adolescents.

• Journal of Wetlands Research
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• v.18 no.3
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• pp.301-312
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• 2016

This study has performed comparative analysis on characteristics of contaminated 35 tributaries on seasonal variation/point discharge load/pollutant distribution of water quality factors(8) in order to understand the effect of the watershed in Nakdong River Basin. As a results, the water quality of $BOD_5$(Biochemical Oxygen Demand), Chl-a(Chlorophyll a) and Fecal E. Coli shows II grade at tributaries of more than 50% without COD(Chemical Oxygen Demand), TP(Total Phosphate), TOC(Total Oxygen Carbon) and TN(Total Nitrogen) factors. The specific discharge(Q) were occupied about 54.4% (19 sites) as $0.05m^3/sec/km^2$ value. Among these results, the contaminant level of Dalseocheon, Hyeonjicheon, Seokkyocheon 1, Uriyeongcheon and Dasancheon was also high, which has to consider a discharged pollutant load(kg/day). The 35 major tributaries of Nakdong River were included in 7 mid-watershed, such as Nakdong Waegwan, Geumho River, Nakdong Goryung, Nakdong Changnyung, Nam River, Nakdong Milyang, Nakdong River Hagueon. Especially, the discharged pollutant load of Nam River and Geumho River also was high according to the amount of discharge such as Kachang dam, Gongsan dam and Nam river dam. Seasonal difference of the water quality factors such as $BOD_5$, TN, SS and Q was observed largely, on the other hand the TP and Chl-a was not. This is guessed due to the precipitation effect of site, biological and physicochemical degradation properties of pollutant and etc. The co-relationship between the seasonal difference and water quality factors was observed using a Pearson correlation coefficients. Besides, the Multiple Regression analysis using a Stepwise Regression method was conducted to understand the effect between seasonal difference and water quality factors/regression equations. As a result, the Multiple Regression analysis was adapted in the spring, summer and autumn without the winter, which was observed high at spring, summer and autumn in the order COD/TP, Chl-a/TOC, TOC/COD/$BOD_5$ water quality factors, respectively.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.224-226
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• 2012

최근 스마트폰의 대중화와 더불어 스마트폰 애플리케이션의 공급과 수요 또한 활성화 되고 있다. 이에 스마트폰의 애플리케이션 시장 또한 활성화 되었다. 하지만 기하급수적으로 증가한 애플리케이션에 사용자가 자신에게 적합한 애플리케이션을 선택하기가 용이하지 않다. 이에 본 논문에서는 사용자 개인 정보와 감정을 이용한 애플리케이션 추천 시스템을 제안한다. 사용자 정보와 감정을 k-means 알고리즘을 이용하여 군집화를 시켜주었으며 사용자가 평가한 애플리케이션에 대한 만족도를 이용하여 유사도를 검출 및 추천하기 위하여 피어슨 상관계수와 교차추천을 이용하였다. 또한 협업 필터링의 신규 사용자에 대한 초기 평가치 부재에 의한 콜드 스타트(cold-start) 문제를 해결하기 위해 신규 사용자의 개인정보와 감성정보를 활용하여 기존 사용자와의 유사도를 비교한다. 이웃사용자를 추출하고 이웃사용자로부터 추천을 받는다. 즉, 추천시스템 데이터베이스 내의 정보가 충분한 사용자에게는 협업필터링을 그렇지 않은 신규 사용자에게는 협업필터링 대신 제시한 방법을 적용하는 하이브리드 추천 방법을 제안하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.3
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• pp.493-498
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• 2017

Recently, traffic data is analyzed for efficiency of bus operation, D2D(: Door to Door) service, and self-driving of public transportation. However, various studies have been carried out to predict the delay time of public transportation, especially buses, but the research to date has been insufficient due to limitations of simple analysis and data acquisition. In this study, delay time estimation is performed by collecting and processing data such as day of the week, weather, and time of day based on bus operation information. The proposed method in this paper can be applied to autonomous public transport and public traffic control system by improving the accuracy by adding variables in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.1
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• pp.119-126
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• 2009

In recent years, many recommendation service systems that search or recommend information automatically considering user's taste or property are developed. However, there is a weak point that correct recommendation is hard without considering the preference of user's context. This paper proposes a filtering method that gives correct recommendation considering the preference of user's context. To support this method, we get UCOP(User-Context Object Preference) using the preference of user's context and Pearson correlation coefficient. The results of the experiment show the improvement of 11%, 2% of precision and 8%, 4% of recall comparing with the existing service systems. Our recommendation service systems show 77% of precision and 53% of recall overall.

• The KIPS Transactions:PartD
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• v.13D no.2 s.105
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• pp.183-190
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• 2006

Database workloads may show different resource usages for database applications. Database administrators can enhance the DBMS performances through resource management that reflects workload characteristics. We provide a method that can identify tunable resources from analyzing the relationship between performance indicators and resources. First, we select which performance indicators increase or decrease by expanding resources using a correlation coefficient and a significance level test. Next, we identify resources that can affect the DBMS Performances by using increasing or decreasing performance indicators. We evaluated our method in the TPC-C and TPC-W environments.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.10 no.4
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• pp.237-246
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• 2012

In this study, numerical model for transport of radionuclide and colloid was developed. In order to solve reaction-migration governing equation for colloid and radionuclide, Strang-splitting Sequential Non-Iterative (SNI), which is one of Operator Splitting Method, was used for numerical method and this was coded by MATLAB. From the verification by comparing the simulation results with analytical solution considering only solute transport and rock diffusion, the Pearson's correlation coefficient was greater than 0.99 which demonstrates the accuracy of the model.