• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.35-55
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• 2022

As altmetrics has received a lot of attention as an muti-dimensional impact assessment tool, it is necessary to verify whether it can supplement the citation-based research performance evaluation system. This study analyzed and compared the effects of each altmetrics sources on citation by sampling 1,600 high-cited papers published in the last 10 years (Sample A) and non-year-limited papers (Sample B) indexed in Scopus. In addition, it was analyzed whether the OA of the paper had a moderating effect on the numbers of cited-by, and the difference according to the samples was verified. As a result of the analysis, only the number of Mendeley bookmark readers was analyzed to have a positive (+) effect on the numbers of cited-by, and OA status had a significant moderating effect in both groups. However, in sample A, OA showed a reinforcing effect on cited-by, whereas Sample B showed a weakening effect, showing a difference. On the other hand, social mention such as media reports do not have a significant effect on the cited-by regardless of OA conditions, but they can be used to understand the social impact of non-academic mass readers.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.39-48
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• 2022

Cyberattacks around the world continue to increase, and their damage extends beyond government facilities and affects civilians. These issues emphasized the importance of developing a system that can identify and detect cyber anomalies early. As above, in order to effectively identify cyber anomalies, several studies have been conducted to learn BGP (Border Gateway Protocol) data through a machine learning model and identify them as anomalies. However, BGP data is unbalanced data in which abnormal data is less than normal data. This causes the model to have a learning biased result, reducing the reliability of the result. In addition, there is a limit in that security personnel cannot recognize the cyber situation as a typical result of machine learning in an actual cyber situation. Therefore, in this paper, we investigate BGP (Border Gateway Protocol) that keeps network records around the world and solve the problem of unbalanced data by using SMOTE. After that, assuming a cyber range situation, an autoencoder classifies cyber anomalies and visualizes the classified data. By learning the pattern of normal data, the performance of classifying abnormal data with 92.4% accuracy was derived, and the auxiliary index also showed 90% performance, ensuring reliability of the results. In addition, it is expected to be able to effectively defend against cyber attacks because it is possible to effectively recognize the situation by visualizing the congested cyber space.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.99-109
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• 2019

The study was conducted to investigate the activities of working people in the sports club. The subject of this study was to take samples of workers who participated in the physical education system using the convenience sampling method. Out of a total of 400 questionnaires, 387 were used for research purposes, except for invalid or error questionnaires. Factor analysis and reliability tests were performed using IBM SPSS statistics Ver 21.0. Frequency analysis was conducted to explore the general characteristics of the study participants. An independent sample t-test ANOVA were conducted to verify differences among groups according to demographic characteristics, and a correlation analysis was conducted to examine the relationship between variables. Regression was performed to verify the effect of variable factors. The results of the study are as follows. First, there was no difference in wellness and job satisfaction according to gender. Second, there was no difference in wellness and job satisfaction according to sport. Third, there was a significant difference intellectual wellness according to age. In particular, 40s and 50s were higher than 60s and over. Fourth, there was a significant difference in social wellness according to activity duration. In particular, 1~2 years were higher than 3 years or more. Finally, If you look at the impact of working people's wellness lifestyle sports club activities on job satisfaction, the professional wellness lifestyle club activities showed significant influence on job satisfaction.

• 한국체육학회지인문사회과학편
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• v.51 no.3
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• pp.171-181
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• 2012

The purpose of this study was to analyze the influence of the marketing strategy at golf courses in Jeonnam area on perceived values and customers' behaviors. To make this goal, the study was selected it as the population to customers who were the member of 10 golf courses run by membership and public system. The study, then, selects 366 by convenience sampling. The study was analyzed the data by frequency analysis, reliability analysis, factor analysis, and simple and multiple regression analysis. The results are as follows. First, it has a meaningful influence on perceived value to the factors of product, price and place which are the component of marketing strategy in golf courses. Second, it has a meaningful influence on revisiting intention, one of the customers' behaviors, to the factors of product, price and promotion which are the component of marketing strategy in golf courses; but the factor of place has no influence on it. Third, the factors of product and price, the component of marketing strategy have a meaningful influence on the intention of recommending others which is one of customers' behaviors while the factors of promotion and place don't have. Finally, the factor of perceived value has a meaningful influence on both of the intention of revisit and recommendation to others which are customers' behaviors.

• Korean Journal of Optics and Photonics
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• v.34 no.3
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• pp.117-123
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• 2023

The size of an optical surface can significantly affect the performance of an optical system, and high spatial frequency errors have a greater impact. Therefore, it is crucial to measure the surface figure error with high frequency. To address this, a new method called rotational prism stitching interferometer (RPSI) is proposed in this study. The RPSI is a type of stitching interferometer that enhances spatial resolution, but it differs from conventional stitching interferometers in that it does not require the movement of either the mirror tested or the interferometer itself to obtain sub-aperture interferograms. Instead, the RPSI uses a beam expander and a rotating Dove prism to select particular sub-apertures from the entire aperture. These sub-apertures are then stitched together to obtain a full-aperture result proportional to the square of the beam expander's magnification. The RPSI's effectiveness was demonstrated by measuring a 40 mm diameter spherical mirror using a three-magnification beam expander and comparing the results with those obtained from a commercial interferometer. The RPSI achieved surface testing results with nine times higher sampling density than the interferometer alone, with a small difference of approximately 1 nm RMS.

• Industry Promotion Research
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• v.8 no.2
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• pp.37-43
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• 2023

Sampling In this study, we examined the problems and their improvement plans associated with the reliability management sector in quality management engineer test conducted in Korea. First of all, there seems to be a problem in that the terminology is not unified and some techniques essential for reliability analysis are not included. We also looked at quality and reliability tests performed in foreign countries (especially USA) that Koreans often acquire. In particular, it can be seen that the CRE test almost overlaps with the contents of the reliability management engineer test in Korea. However, while the USA is an open book test, Korea is not, so the problem is that there are too many formulas to memorize on the part of the test takers. In addition, the analysis of the data is done manually without using computer software. If the test were an open book test like the CRE test in USA, it will be a test that can go beyond fragmentary knowledge and check whether test takers have the essential elements in reliability management. Lastly, if we adopt re-certification system through education and work within a certain period of time, as in USA, it will be a qualification test suitable for modern people living in a flood of information.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.2
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• pp.171-187
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• 2023

Objectives: Aircraft cabin cleaning work is characterized by being performed within a limited time in a narrow and enclosed space. The objective of this study was to evaluate the exposure levels to dust, ultra fine dust(PM2.5) and black carbon(BC) among aircraft cabin cleaners. Methods: Active personal air sampling for respirable dust(n=73) and BC(n=47) was conducted during quick transit cleaning(cabin general and vacuum-specific) and seat cover replacement and total dust and PM2.5 were area-air-sampled as well. Also, size distribution of particle was identified with the cleaning workers targeted. Dusts were collected with PVC filters using gravimetric analysis. The concentration of PM2.5 and the particle size distribution were measured with real-time direct reading portable equipment using light scattering analysis. The concentration of BC was measured by aethalometer(filter-based real-time light absorption analysis instrument). Results: The geometric mean of respirable dust was the highest at vacuum cleaning as 74.4 ㎍/m³, following by replacing seat covers as 49.3 ㎍/m³ and cabin general cleaning as 47.8 ㎍/m³ . The arithmetic mean of PM2.5 was 4.83 ~ 9.89 ㎍/m³ inside the cabin, and 28.5~44.5 ㎍/m³ outside the cabin(from bus and outdoor waiting space). From size distribution, PM_2.5/PM₁₀ ratio was 0.54 at quick transit cleaning and 0.41 at replacing seat covers. The average concentration of BC was 2~7 ㎍/m³, showing a high correlation with the PM2.5 concentration. Conclusions: The hazards concentration levels of aircraft cabin cleaners were very similar to those of roadside outdoor workers. As the main source of pollution is estimated to be diesel vehicles operating at airports, and it is necessary to replace older vehicles, strengthen pollutant emission control regulations, and introduce electric vehicles. In addition, it is necessary to provide as part of airport-inftastructure a stable standby waiting space for aircraft cabin cleaners and introduce a systematic safety and health management system for all workers in the aviation industry.

• 한국체육학회지인문사회과학편
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• v.55 no.3
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• pp.43-57
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• 2016

This narrative study aims to describe the experience of P.E. assessment that was conducted by P.E. teachers of Korea Science Academy of KAIST, and interpret the educational significance that was found in the process. The study participants were two P.E. teachers who were selected by decisive case sampling method. Data were collected mainly through official interviews with study participants, and through researcher's field notes, informal interviews, various minutes, students' evaluation of teaching, and emails between the researcher and study participants. Data were analyzed through inductive categorization, and to gain veracity of the study, there were integration of diverse materials, advice and suggestions of fellow researchers, continuous confirmation of study texts by study participants. Study participants, while conducting P.E. assessment in Korea Science Academy of KAIST, experienced effectiveness of evaluation such as qualitative development of P,E. classes in accordance with the simplified assessment, freedom from the chores of handling assessment results, students' improved perceptions of P.E. class, realization of safe classes without excessive competition, and the possibility of giving alternative evaluations to pass/fail system but at the same time experienced limitations such as concerns over gaining validity and reliability of P.E. evaluation, the students' attitude who take lightly of P.E. class, and the reality that teachers cannot fail students. The evaluation experiences of the two P.E teachers were educationally interpreted as encounter with good P.E. classes, invitation to P.E. class criticism, and the start of school P.E. culture that is led by students.

• 한국체육학회지인문사회과학편
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• v.54 no.5
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• pp.77-87
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• 2015

This study aimed to make the leisure activation policy plan on married immigrant women for social integration of multicultural families as a social problem. For that, this study selected total 25 professional experts who can suggest leisure activation policy plans on married immigrant women with convenience quota sampling, and, they were chiefs and instructors in multicultural family support centers, professors of social welfare and leisure, and married immigrant women who had passed Test of Proficiency in Korean and been doing leisure activities. As the results, there were classified into 6 main category like established policy direction, engage, awareness, and program improvement, operations and facility improvements, administrative support, 13 middle categories, and 37 small categories. Through above process, this study suggested 6 steps of policy plan: 1st, making systematic policy direction on the base of married immigrant women's real demand, 2nd, making administrative·institutional support system for effective policy enhancement, 3rd, improving recognitions on immigrant women's leisure activity from surrounders, 4th, improving programs by efficient management and qualitative diversification, 5th, improving management of concerned facilities, and 6th, attracting participations of married immigrant women through economical support·connection and child care service.

• Smart Media Journal
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• v.12 no.1
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• pp.9-16
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• 2023

Recently, a convolutional neural network (CNN) based system is being developed to overcome the limitations of human resources in the apple quality classification of farmhouse. However, since convolutional neural networks receive only images of the same size, preprocessing such as sampling may be required, and in the case of oversampling, information loss of the original image such as image quality degradation and blurring occurs. In this paper, in order to minimize the above problem, to generate a image patch based graph of an original image and propose a random walk-based positional encoding method to apply the graph transformer model. The above method continuously learns the position embedding information of patches which don't have a positional information based on the random walk algorithm, and finds the optimal graph structure by aggregating useful node information through the self-attention technique of graph transformer model. Therefore, it is robust and shows good performance even in a new graph structure of random node order and an arbitrary graph structure according to the location of an object in an image. As a result, when experimented with 5 apple quality datasets, the learning accuracy was higher than other GNN models by a minimum of 1.3% to a maximum of 4.7%, and the number of parameters was 3.59M, which was about 15% less than the 23.52M of the ResNet18 model. Therefore, it shows fast reasoning speed according to the reduction of the amount of computation and proves the effect.