• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.219-227
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• 2017

The purpose of this study is to verify the mediating effects of self-efficacy in correlation between conscientiousness and neuroticism among the Big Five personality traits and stress coping strategies. The following two study questions were formulated. Study Question 1: What is the correlation between the Big Five personality traits, stress coping strategies, and self-efficacy Study Question 2: Among the Big Five personality traits, conscientiousness and neuroticism are selected as clinically very meaningful variables that represent mental health in undergraduates. If so, does self-efficacy play a mediating role in the correlation between conscientiousness and neuroticism and stress coping strategies To verify the two study questions, the Big Five personality traits, stress coping strategies scale, and self-efficacy scale were measured for a sample of 462 freshmen attending D University located in Chungcheong. First, according to the results of correlation analysis, neuroticism and self-efficacy showed a negative correlation, and conscientiousness showed a positive correlation. Regarding the Big Five personality traits and stress coping strategies, conscientiousness showed a negative correlation with avoidance-orientation among stress coping strategies. Neuroticism showed a negative correlation with social support and problem solving-orientation among stress coping strategies. Second, according to the results of analyzing the mediating effects of self-efficacy through hierarchical regression analysis, self-efficacy exerted partial mediating effects only in correlation between neuroticism and avoidance-orientation. This study is significant in its anticipation of undergraduates' stress coping, personality factors can be usefully employed as psychological constructs, and particularly, when an undergraduate reveals the neuroticism factor, which is one of the predictors for mental health, and the tendencies of avoidance among stress coping strategies, educational interventions for self-efficacy are needed to reduce their mental stress.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8343-8349
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• 2015

This study was done to identify the relation among workplace bullying, burnout and turnover intention among nurses. The participants were 270 nurses from four general hospitals. Data were analyzed using descriptive statistics, pearson's correlation analysis, and stepwise multiple regression with the SPSS/PC 18.0 program. Workplace bullying (r=.35, p=.000) and burnout (r=.64, p=.000) had positive correlation with turnover intention. The predictors of turnover intention were person-related workplace bullying, work-related workplace bullying, emotional exhaustion and depersonalization. The results of the study could be used to develop a program for reducing nurses' turnover intention.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.648-649
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• 2014

최근 여러 기업들이 경쟁력을 확보하기 위해서 기술력 확보에 많은 신경을 쓰고 있다. 특히 몇 년간 기업 간의 특허전쟁들로 인해서 기업들은 기술력을 객관적으로 입증 받으려고 하고 있으며, 이에 대한 노력으로 R&D 투자를 하고 있다. 하지만 R&D 투자와 기업성과의 관계에 대한 실증적 연구는 부족한 실정이다. 따라서 본 논문에서는 R&D 투자비용과 기업의 영업이익, 매출액, 특허등록 수에 대한 Pearson 상관관계분석을 수행했다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.14-24
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• 2020

Google Trends is a useful tool not only for setting search periods, but also for providing search volume to specific countries, regions, and cities. Extant research showed that the big data from Google Trends could be used for an on-line market analysis of opinion sensitive products instead of an on-site survey. This study investigated the market share of tumor necrosis factor-alpha (TNF-α) inhibitor, which is in a great demand pharmaceutical product, based on big data analysis provided by Google Trends. In this case study, the consumer interest data from Google Trends were compared to the actual product sales of Top 3 TNF-α inhibitors (Enbrel, Remicade, and Humira). A correlation analysis and relative gap were analyzed by statistical analysis between sales-based market share and interest-based market share. Besides, in the country-specific analysis, three major countries (USA, Germany, and France) were selected for market share analysis for Top 3 TNF-α inhibitors. As a result, significant correlation and similarity were identified by data analysis. In the case of Remicade's biosimilars, the consumer interest in two biosimilar products (Inflectra and Renflexis) increased after the FDA approval. The analytical data showed that Google Trends is a powerful tool for market share estimation for biosimilars. This study is the first investigation in market share analysis for pharmaceutical products using Google Trends big data, and it shows that global and regional market share analysis and estimation are applicable for the interest-sensitive products.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.2
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• pp.80-85
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• 2016

This study suggests a process design using cognitive processes. Job characteristic model for job design and recent cognitive engineering studies for process design are reviewed briefly. By using these concepts, the lean production system is re-interpreted in terms of cognitive engineering and the latent dimensions of the lean production system are revealed as the application of cognitive engineering principles. An integrated process design framework for cognitive manufacturing system using job characteristic model is suggested for the effective design of manufacturing system. Propositions for empirical analysis of this model are also analyzed through a questionnaire survey. Propositions are (1) experiential cognition and motivation potential affect the ability, role perception, and need for achievement of the operator in the manufacturing system, (2) the ability, role perception, and need for achievement of the operator affect the job performance. Both propositions are supported by correlation analysis and path analysis.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2000.04b
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• pp.150-155
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• 2000

In this study, deformation analysis for solid-liquid coupled structure has been performed using explicit finite element program In order to model the behavior of liquid, SPH (Smooth Particle Hydrodynamics) algorithm was adopted. Crash test and simulation for the hydro-type impact energy absorber were given as an example of industrial application. The obtained good correlation between the test results and simulation reveals that the proposed method could be used effectively for the structural analysis of solid-liquid coupled problems

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.06a
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• pp.52-57
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• 2000

This paper discusses frequency analysis based on frequency spectrum in orthogonal cutting of fiber-matrix composite materials. A glass reinforced polyester (GFRP) was used as workpiece. Analysis method employs a force sensor and the signals from the sensor are processed using a fast Fourier transform (FFT) technique. The experimental correlation between the different chip formation mechanisms and model coefficients are then established. (omitted)

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.2
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• pp.43-52
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• 2017

Pattern Analysis is One of the Most Important Techniques in the Signal and Image Processing and Text Mining Fields. Discrete Fourier Transform (DFT) is Generally Used to Analyzing the Pattern of Signals and Images. We thought DFT could also be used on the Analysis of Text Patterns. In this Paper, DFT is Firstly Adapted in the World to the Sentence Plagiarism Detection Which Detects if Text Patterns of a Document Exist in Other Documents. We Signalize the Texts Converting Texts to ASCII Codes and Apply the Cross-Correlation Method to Detect the Simple Text Plagiarisms such as Cut-and-paste, term Relocations and etc. WordNet is using to find Similarities to Detect the Plagiarism that uses Synonyms, Translations, Summarizations and etc. The Data set, 2013 Corpus, Provided by PAN Which is the One of Well-known Workshops for Text Plagiarism is used in our Experiments. Our Method are Fourth Ranked Among the Eleven most Outstanding Plagiarism Detection Methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.459-466
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• 2011

In this paper, we proposed a data mining framework for the management of alerts in order to improve the performance of the intrusion detection systems. The proposed alert data mining framework performs alert correlation analysis by using mining tasks such as axis-based association rule, axis-based frequent episodes and order-based clustering. It also provides the capability of classify false alarms in order to reduce false alarms. We also analyzed the characteristics of the proposed system through the implementation and evaluation of the proposed system. The proposed alert data mining framework performs not only the alert correlation analysis but also the false alarm classification. The alert data mining framework can find out the unknown patterns of the alerts. It also can be applied to predict attacks in progress and to understand logical steps and strategies behind series of attacks using sequences of clusters and to classify false alerts from intrusion detection system. The final rules that were generated by alert data mining framework can be used to the real time response of the intrusion detection system.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.3
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• pp.117-123
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• 2018

Continued R&D investment by the government and corporate support played a major role as the background of the rapid growth of the Republic of Korea. In 2017 of the Republic of Korea, the R&D support size of the government accounted for 19.7 trillion won, accounting for 4.7% of the government budget. Government R&D budgets are increasing by 2.5% each year. In this paper, we analyzed the outcomes of the Busan regional company support project conducted in the 2 years. For the time series analysis, we gathered company support amount by year, sales after company support, employment. We used IBM SPSS(Statistical Package for the Social Sciences) statistics 18 for correlation analysis.