• Title/Summary/Keyword: pearson correlation

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The Effect of Co-rating on the Recommender System of User Base

  • Lee, Hee-Choon;Lee, Seok-Jun;Chung, Young-Jun
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.775-784
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    • 2006
  • This study is to investigate the effect of the number of co-rated users to the MAE. User based collaborative algorithm generally uses similarity weight to compute the relation of active user and other users. The original estimation algorithm of the GroupLens used the Pearson's correlation coefficient, soon after other researchers used various weighting. The Pearson’s correlation coefficient and Vector similarity, which is used in the field of information retrieval, are commonly used to the estimation algorithm. In prediction, we analyze the effect of the number of co-rated users on the user based recommender system.

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Use of big data for estimation of impacts of meteorological variables on environmental radiation dose on Ulleung Island, Republic of Korea

  • Joo, Han Young;Kim, Jae Wook;Jeong, So Yun;Kim, Young Seo;Moon, Joo Hyun
    • Nuclear Engineering and Technology
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    • v.53 no.12
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    • pp.4189-4200
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    • 2021
  • In this study, the relationship between the environmental radiation dose rate and meteorological variables was investigated with multiple regression analysis and big data of those variables. The environmental radiation dose rate and 36 different meteorological variables were measured on Ulleung Island, Republic of Korea, from 2011 to 2015. Not all meteorological variables were used in the regression analysis because the different meteorological variables significantly affect the environmental radiation dose rate during different periods, and the degree of influence changes with time. By applying the Pearson correlation analysis and stepwise selection methods to the big dataset, the major meteorological variables influencing the environmental radiation dose rate were identified, which were then used as the independent variables for the regression model. Subsequently, multiple regression models for the monthly datasets and dataset of the entire period were developed.

Analysis of the Correlation between Obesity and Individual Health issues and their impact on the National Economy (비만과 개인 건강문제가 미치는 국가 경제의 상관관계 분석)

  • Seong-Kyung Bae;Jai-Soon Baek;Sung-Jin Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.157-160
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    • 2024
  • 비만은 단순히 개인의 게으름의 문제가 아니라 하나의 위험한 질병으로서 치료를 위해 전문가의 도움이 전적으로 필요로 한다. 개인만의 극복해야 하는 문제가 아니라 사회적 문제로 거론되어 국가 차원에서의 규제와 같은 적극적인 도움이 필요하다. 비만으로 생기는 경제적 손실 또한 무시할 수 없다. 의료비용, 생산성 감소, 사회 보건 문제, 질병 예방 비용 등이 있다. 이 연구는 전 연령층을 대상으로 하되, 아시아, 북아메리카, 남아메리카와 같이 대륙별로 근처 나라들의 2009년에서 2019년까지 10년의 비만 지수와 경제지표를 R을 활용한 회귀분석, 상관관계 분석, Pearson 회귀분석으로 비교하여 가치 있는 결과를 찾는 데 있다. 비만의 해결은 개인의 행복뿐만 아니라 국가의 경제 성장 그리고 회복에 큰 핵심적 요소가 된다는 걸 검증하는 연구이다.

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Analysis of Correlations among β-amyloid, Serum Lipid Levels, and Cognitive Function in the Elderly with Mild Alzheimer's Dementia (경증 알츠하이머 치매노인에서 베타 아밀로이드 및 혈중 지질 수준과 인지기능과의 상관관계 분석)

  • Nam, Seung-Min;Lee, Do-Youn
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.115-120
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    • 2019
  • This study was undertaken to determine the correlation between β-amyloid, serum lipid levels, and cognitive function in the elderly with mild Alzheimer's dementia. The study was conducted in December 2018, enrolling 45 elderly people with mild Alzheimer's disease. Blood analysis measured the β-amyloid and serum lipid levels, and cognitive function was measured using MMSE-K. The correlation between β-amyloid, serum lipid levels and cognitive function was determined using Pearson's correlation analysis. A significantly negative correlation was observed between the β-amyloid level and cognitive function (p<0.05). Furthermore, serum lipid levels and cognitive function also revealed a significantly negative correlation between TC and LDL levels (p<0.05). These results indicate that increasing levels of β-amyloid, TC, and LDL augments a negative correlation that decreases the cognitive function, signifying that management of pathologic factors related to dementia is important for the prevention and improvement of cognitive function in dementia patients.

Identifying significant earthquake intensity measures for evaluating seismic damage and fragility of nuclear power plant structures

  • Nguyen, Duy-Duan;Thusa, Bidhek;Han, Tong-Seok;Lee, Tae-Hyung
    • Nuclear Engineering and Technology
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    • v.52 no.1
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    • pp.192-205
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    • 2020
  • Seismic design practices and seismic response analyses of civil structures and nuclear power plants (NPPs) have conventionally used the peak ground acceleration (PGA) or spectral acceleration (Sa) as an intensity measure (IM) of an earthquake. However, there are many other earthquake IMs that were proposed by various researchers. The aim of this study is to investigate the correlation between seismic responses of NPP components and 23 earthquake IMs and identify the best IMs for correlating with damage of NPP structures. Particularly, low- and high-frequency ground motion records are separately accounted in correlation analyses. An advanced power reactor NPP in Korea, APR1400, is selected for numerical analyses where containment and auxiliary buildings are modeled using SAP2000. Floor displacements and accelerations are monitored for the non- and base-isolated NPP structures while shear deformations of the base isolator are additionally monitored for the base-isolated NPP. A series of Pearson's correlation coefficients are calculated to recognize the correlation between each of the 23 earthquake IMs and responses of NPP structures. The numerical results demonstrate that there is a significant difference in the correlation between earthquake IMs and seismic responses of non-isolated NPP structures considering low- and high-frequency ground motion groups. Meanwhile, a trivial discrepancy of the correlation is observed in the case of the base-isolated NPP subjected to the two groups of ground motions. Moreover, a selection of PGA or Sa for seismic response analyses of NPP structures in the high-frequency seismic regions may not be the best option. Additionally, a set of fragility curves are thereafter developed for the base-isolated NPP based on the shear deformation of lead rubber bearing (LRB) with respect to the strongly correlated IMs. The results reveal that the probability of damage to the structure is higher for low-frequency earthquakes compared with that of high-frequency ground motions.

Correlation between Upper Extremity Muscle Strength and Bat Swing Speed in Elementary School Baseball Players (초등학교 야구선수에 상지 근력과 배트 스윙 속도 간의 상관관계 분석)

  • Park, Chi Bok;Choi, Ah Young;Jeong, Ho Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.239-244
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    • 2019
  • The purpose of this study was to determine the correlation between upper limb muscle power and bat swing speed in elementary school baseball players. This study subjects were 32 subjects. Upper extremity muscle strength was measured in the Both Shoulder joints extensor flexor abductor adductor, Both elbow joints extensor flexor and bat swing speed. The correlation between upper extremity muscle strength and bat swing speed was analyzed using pearson's correlation analysis. There was a significant correlation between dominant upper extremity muscle strength and bat swing speed in the order of shoulder adductor, shoulder abductor, elbow flexor, and shoulder flexor and in correlation between non-dominant upper extremity muscle strength and bat swing speed in the order of shoulder adductor, elbow flexor, shoulder abductor, shoulder extensor, elbow extensor, and shoulder flexor. From these results, it can be seen that the stronger the upper extremity muscle strength, the bat swing speed is the more positive correlation.

The Analysis of Correlation Between COVID-19 and Seoul Small Business Commercial Districts (코로나 19와 서울 소상공인 상권의 상관관계 분석)

  • Kim, Jae-Ho;Kim, Jang-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.3
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    • pp.384-388
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    • 2021
  • Currently, whether in a domestic or international sphere, many small businesses are suffering due to COVID-19. The grim reality is that several businesses are shutting down. While the national disaster relief grant was used to contain the damages by encouraging consumer spending, it has become difficult to prevent closures of small businesses. As of September 2020, more than 20,000 stores have closed in Seoul due to the COVID-19 pandemic. There has also been an increase in the number of people with depression caused by the COVID-19 blues. This issue is not only confined to Seoul in the Republic of Korea, but is influencing all other areas affected by the pandemic. As the number of COVID-19 patients increase, the number of open stores is decreasing steadily. The analysis of the correlation coefficient of Pearson, Spearman, and Kendall suggests a negative correlation between the number of COVID-19 patients and the number of stores in business.

An elaboration on sample size determination for correlations based on effect sizes and confidence interval width: a guide for researchers

  • Mohamad Adam Bujang
    • Restorative Dentistry and Endodontics
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    • v.49 no.2
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    • pp.21.1-21.8
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    • 2024
  • Objectives: This paper aims to serve as a useful guide for sample size determination for various correlation analyses that are based on effect sizes and confidence interval width. Materials and Methods: Sample size determinations are calculated for Pearson's correlation, Spearman's rank correlation, and Kendall's Tau-b correlation. Examples of sample size statements and their justification are also included. Results: Using the same effect sizes, there are differences between the sample size determination of the 3 statistical tests. Based on an empirical calculation, a minimum sample size of 149 is usually adequate for performing both parametric and non-parametric correlation analysis to determine at least a moderate to an excellent degree of correlation with acceptable confidence interval width. Conclusions: Determining data assumption(s) is one of the challenges to offering a valid technique to estimate the required sample size for correlation analyses. Sample size tables are provided and these will help researchers to estimate a minimum sample size requirement based on correlation analyses.

Correlation Analysis between Terra/Aqua MODIS LST and Air Temperature: Mainly on the Occurrence Period of Heat and Cold Waves (Terra/Aqua MODIS LST와 기온과의 상관성 분석: 한파 및 폭염 발생 기간을 중심으로)

  • CHUNG, Jee-Hun;LEE, Yong-Gwan;LEE, Ji-Wan;KIM, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.4
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    • pp.197-214
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    • 2019
  • In this study, the correlation analysis was conducted between observed air temperature (maximum, minimum, and mean air temperature) and the daytime and nighttime data of Terra/Aqua MODIS LST(Moderate Resolution Imaging Spectroradiometer Land Surface Temperature) for 86 weather stations. All the data of the recent 11 years from 2008 to 2018 were prepared with daily base. In particular, the characteristics of the cold and heat waves incidence period in 2018 were analyzed. The correlation analysis was performed using the Pearson correlation coefficient(R) and root mean square error(RMSE). As a result of time series analysis, the trend between observed air temperature and MODIS LST were similar, showing the correlation above 0.9 in maximum temperature, above 0.8 in mean and minimum temperature. Especially, the maximum temperature was found to have the highest accuracy with Terra MODIS LST daytime, and the minimum temperature had the highest correlation with Terra MODIS LST nighttime. During the cold wave period, both Terra and Aqua MODIS LST showed higher correlations with nighttime data than daytime data. For the heat wave period, the Aqua MODIS LST daytime data was good, but the overall R was below 0.5. Additional analysis is necessary for further study considering such as land cover and elevation characteristics.

A study on the Relationships among Coaching leadership, Directive leadership, Self-efficacy and Cohesion - Focused on the Marine Corps Soldiers - (코칭 및 지시적 리더십, 자기 효능감과 응집력간의 관계에 관한 연구 - 해병대 소대원을 중심으로 -)

  • Heo, Je-Eun;Lim, Gye-Hwan;Son, Heon-il
    • Convergence Security Journal
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    • v.16 no.3_1
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    • pp.69-75
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    • 2016
  • This study a Empirical research to examine the relationships among Coaching leadership, Directive leadership, Self-Efficacy and Cohesion, On the focus of Marine Corps Soldiers. The data was collected from 370 Soldiers located at Pohang, January 18 to 25, 2016. Descriptive statistics, frequency, t-test, ANOVA, scheffe test, and Pearson correlation analysis were performed using SPSS/WIN 22.0 program. In Cohesiveness, there were significants differences in Age, Branch of Service and Rank. As the result of Pearson' correlation, the relationships between leadership style, Self-efficacy and Cohesion were positive significants. The implications of these findings for effective leradership of Platoon Leader and future research on develop leradership program and curriculum were then discussed.