• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.201-222
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• 2019

The Perfectionism Index (PI) is an indicator that is recently proposed to distinguish influential researchers from mass producers. In this study, Near Perfectionism Index (NPI), an improved indicator of Perfectionism Index, can be a solution to the problem of PI that indiscriminately gives a penalty to all low-cited papers regardless of publishing time or other issues. NPI improved the method to give a penalty to tail complement area considering the citation distribution curve. It prevents the improvement of the h-index from adversely affecting the researcher's influence indicator. This study uses NPI to evaluate information and library science journals in Web of Science database. It successfully distinguishes between influential journals and mass producers unlike journal h-index or average citation frequency which could not differentiate influentials from mass producers.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.5
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• pp.415-422
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• 2017

Finding influential factors from given clustering result is a typical data science problem. Genetic Algorithm based method is proposed to derive influential factors and its performance is compared with two conventional methods, Classification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detection (CHAID), by using Dunn's index measure. To extract the influential factors of preference towards political parties in South Korea, the vote result of $18^{th}$ presidential election and 'Demographic', 'Health and Welfare', 'Economic' and 'Business' related data were used. Based on the analysis, reverse engineering was implemented. Implementation of reverse engineering based approach for influential factor analysis can provide new set of influential variables which can present new insight towards the data mining field.

• Journal of the Korean Society of Safety
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• v.28 no.2
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• pp.78-83
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• 2013

The traffic culture index is used as a major index in evaluating the traffic safety services of local governments and also serve as important data for the planning and implementation of traffic safety services. However, as the traffic culture index gradually became a standard for comparison among local governments, in part, certain cases arose which questioned the grounds for selecting variables for the index and the validity of the index in terms of its influential relationship between evaluation items. This study analyzed the index's influential relationship by utilizing a PLS structural equation model based on the evaluation results of the 2011 traffic culture index. A variable-linking model was created which recognized the relativity taking into account of the indirect effects between latent variables and this model was proven to be a model suitable in explaining the traffic culture index with a 97.8% explanation power. It was found that traffic safety(0.530), driving behavior(0.527), pedestrian behavior(0.187) and vulnerable road users(0.147), in such order, had an effect on the traffic culture index. It was also found that human casualties due to traffic accidents under "traffic safety" and traffic light compliance rate under "driving behavior" had an important effect. The study showed that motor vehicle share in illegal parking in school zones did not have a valid explanation power regarding "vulnerable road users".

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.21-30
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• 2014

Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.

• Journal of Korean society of Dental Hygiene
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• v.16 no.2
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• pp.225-231
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• 2016

Objectives: The purpose of this study was to investigate the influential factors of stress and fatigue on peridontal indicators in patients with periodontal disease. Methods: A self-administrated questionnaire study was conducted during November 2012 to January 2013 with 140 periodontal patients. The Fatigue and Stress were evaluated with Multidimensional Fatigue Scale(MFS) and Psychosocial Well-bing Index(PWI). Periodontal health indicators were consisted with gingival index and pocket depth. Data were analyzed by descriptive analysis, t-test, ANOVA, and multiple regression analysis. Results: Overall stress and fatigue level of subjects were $22.61{\pm}5.62$ and $64.67{\pm}9.45$. Gingival index and periodontal pocket depth as periodontal health indicators were $1.26{\pm}0.3$ and $4.29{\pm}0.52$. The influential factors of gingival index and periodontal pocket depth were social function(subcategory of pwi) and depression(subcategory of pwi), respectively. Conclusions: Some subcategories of PWI were related with periodontal health indicators. So, consideration of stress related with depression and social function are needed to manage and prevent periodontal disease.

• Journal of East-West Nursing Research
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• v.22 no.2
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• pp.113-120
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• 2016

Purpose: The purpose of this study was to explore the levels of self-reflection, self-esteem, and empathy and identify influential factors on happiness index in nursing students. Methods: The data was collected using questionnaires from a convenience sample of 275 nursing students. The data was analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression. Results: Mean scores of self-esteem, empathy and happiness index were 3.55, 2.89, 3.43, and 66.76, respectively. Self-understanding, self-esteem, and economic status had significant positive effects with a 42% of explained variance of the happiness index. Conclusion: The results suggest that self-understanding, self-esteem, and economic status should be considered as factors when developing intervention strategies to increase the level of the happiness index among nursing students.

• Korean Journal of Biological Psychiatry
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• v.20 no.2
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• pp.54-60
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• 2013

Objectives The purpose of this study is to find the influential clinical and physical characteristics which affect apnea-hypopnea index (AHI) in suspected obstructive sleep apnea (OSA) patients. Methods We evaluated the comprehensive factors including sleep related symptoms, clinical scales, medical history, substance use, and anthropometric data of the 119 participants who complained of the symptoms of OSA. All the participants underwent attended-full night laboratory polysomnography. The correlation and multiple regression analysis were conducted to find the influential and predictive factors of AHI. Results A multiple linear regression model 1 showed that higher AHI was associated with higher body mass index (BMI)(p < 0.001) and higher frequency of observed apnea (p = 0.002). In multiple linear regression model 2, AHI was associated with higher BMI (p < 0.001) and loudness of snoring (p = 0.018). Conclusions The present preliminary results suggest that BMI and observed apnea are most influential factors that affect AHI in suspected OSA patients. In the future study we will design the prediction formula for the OSA and AHI, which is useful in the clinical medical field.

• Journal of Korean Association for Spatial Structures
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• v.18 no.2
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• pp.87-97
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• 2018

Stone pagoda structures have continued to be aged due to the combination of various damage factors. However, some studies on nonstructural damage have been carried out, but assessment studies on structural damage have not been done in various ways. Therefore, in this study, structural and nonstructural influencing factors according to the damage types are classified and the damage assessment according to the structural influencing factors affecting the behavior of the stone pagoda structure is performed. In addition, the damage rating classification criteria for each type of structural damages or damage locations are presented, and the damage index is calculated by providing the criteria for the classification of damage according to the degree of damage to which the damage is caused. Therefore, this study can evaluate quantitatively the damage status of stone pagoda structures.

• Journal of dental hygiene science
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• v.13 no.1
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• pp.91-96
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• 2013

The purpose of this study was to examine the possibility of the existence of high-risk groups of dental caries and influential factors for the high-risk groups, as there was a possibility that certain people might especially be at risk of suffering from dental caries when decayed, missing, and filled teeth index were analyzed, which were the typical indicators of dental caries. The data of the 4th National Health & Nutrition Survey for 2007, 2008 and 2009 were analyzed. Significant caries index (SiC index) were calculated, which were one of the representative devices to indicate high-risk groups of dental caries, and the SiC index and related factors were analyzed by using $x^2$ (chi-square) test. Besides, logistic regression analysis was utilized to find out influential factors, and a statistical package STATA 11.0 was employed. As a result of analyzing what factors would be linked to high-risk groups of dental caries, it's found that women were more likely to belong to high-risk groups than men (p<0.01). How the related factors affected the high-risk groups was analyzed, and it's found that those who didn't find themselves to be in good oral health were more likely to be classified into a high-risk group, and that those who brushed their teeth three times a more a day on a regular basis were more likely to belong to a high-risk group than the others who didn't (p<0.01). Thus, SiC index were calculated in this study to confirm the existence of dental caries high-risk groups, and what factors impacted on the high-risk groups was ascertained. It's required to implement efficient national policies to step up the promotion of national oral health based on the findings of the study.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.5
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• pp.501-510
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• 2015

Purpose: The purposes of this study were to identify the effects of social support, resilience, stress and satisfaction in major on the happiness index of nursing students. Methods: Data were collected from March 16 to April 10, 2015 through a self-report questionnaire survey. Participants were 205 students in three different nursing colleges located in Busan and Yangsan. Measured variables were social support, resilience, stress, satisfaction in major and Happiness index. Results: Social support, resilience, satisfaction in major, and personal relationships had significant positive effects on the happiness index, while stress had a negative effect on the happiness index. Explained variance for the happiness index was 46% and social support was the most significant factor in the happiness index of nursing students. Conclusion: The results from this study suggest that resilience, social support, stress, satisfaction in major, and personal relationships should be considered as the main influential factors when developing intervention strategies to increase of the happiness index of nursing students.