• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.185-193
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• 2021

The purpose of this study is to seek out effective policy measures for improving the working environment and improving the supply and demand of nursing manpower in Korea, thereby improving the quality of nursing and creating a high-quality work environment to present a plan to secure adequate supply and demand for nursing manpower. To this end, we have looked at ways to secure effective nursing manpower through literature related to Japanese nursing manpower policy, which has similar health systems to Korea. Japan has established a nursing manpower supply policy since 1974, and is making efforts to improve the working environment and re-employment of idle nursing personnel due to frequent turnover and retirement. As a result of these efforts, the turnover rate of new nurses less than one year in Japan decreased to 7.5%, while the rate of new nurses in Korea was 33.9%. In addition, it is possible to consider ways to encourage medical institutions that have actively promoted and hired idle personnel through various incentives and financial support at the central and local levels.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.140-146
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• 2021

As the environment using intelligent IoT devices increases, various studies are underway to ensure the integrity of information sent and received from intelligent IoT devices. However, all IoT information generated in heterogeneous environments is not fully provided with reliable protocols and services. In this paper, we propose an intelligent-based multi-blockchain model that can extract only critical information among various information processed by intelligent IoT devices. In the proposed model, blockchain is used to ensure the integrity of IoT information sent and received from IoT devices. The proposed model uses the correlation index of the collected information to trust a large number of IoT information to extract only the information with a high correlation index and bind it with blockchain. This is because the collected information can be extended to the n-tier structure as well as guaranteed reliability. Furthermore, since the proposed model can give weight information to the collection information based on blockchain, similar information can be selected (or bound) according to priority. The proposed model is able to extend the collection information to the n-layer structure while maintaining the data processing cost processed in real time regardless of the number of IoT devices.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.441-452
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• 2021

This work verifies the effect of Job Crafting on organizational commitment through innovative actions, and analyzes the regulatory effect, by setting up knowledge sharing among members as factors that promote Job Crafting and Innovative Action. Depending on the level of knowledge sharing, the indirect effects of Job Crafting from organizational commitment of the members through innovative actions are expected to vary, and the controlled mediated effects are analyzed. Totally, 463 individuals were surveyed, including start-ups, small and medium-sized enterprises, public institutions, and large enterprise workers. The hypothesis was subsequently verified through analysis by applying SPSS 18.0 and SPSS Process Macro. Our results reveal that Job Crafting has a positive impact on the innovation behavior of the members. Secondly, a higher level of knowledge sharing had a greater positive outcome in the member's innovation behavior. Third, all innovative actions positively impacted the organizational commitment of the members. The fourth notable point was that innovation behavior imparted only a moderate impact on the association between Job Crafting and Organizational Commitment. Finally, it was determined that there was no significance in the controlled mediated effect of knowledge sharing on the indirect effects of Job Crafting affecting organizational commitment through innovative actions. Based on the data verifying the hypothesis, we present here the theoretical and practical implications of this study.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.175-184
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• 2021

The purpose of this study is to investigate the effect of the strategic role of the human resources department in the manufacturing industry on organizational effectiveness through education and training satisfaction. Among the data from the 7th human capital company panel survey, data from the manufacturing industry were used and analyzed through a structural equation model. The results of this study are as follows: First, the strategic role of the HR department has a positive effect on satisfaction with education and training. Second, satisfaction with education and training and the strategic role of HR departments have a positive effect on job satisfaction among organizational effectiveness. Third, it was confirmed that education and training satisfaction has a mediating effect on the relationship between the HR department's strategic role and job satisfaction. The results of this study are expected to become the basis for expanding the authority and responsibilities of the HR department, which is an important factor in overcoming the crisis faced by SMEs as well as innovation, and redefining their role.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.243-261
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• 2021

Social TV users and content are increasing day by day. The main purpose was to study the motivation for social television users, but I felt the need to analyze the potential psychological impact of users in various content. This study analyzed the impact on psychological well-being due to the interaction and viewing satisfaction by the object relations theory factors of social TV user in Korea. A survey was conducted on students of N university, ordinary university, and ordinary people who have experience using social TV to prove the observations or experiments of empirical facts in this study. Research result, First, Nonalienation have been have a positive effect on interaction and viewing satisfaction. Second, stable attachment have been have a positive effect on interaction. Third, social competence have been have a positive effect on interaction. Fourth, interaction have been have a positive effect on viewing satisfaction and psychological well-being. Fifth viewing satisfaction have been have a positive effect on Psychological well-being. Through this, This will contribute to the development of subdivided content and user-customized services for social television, and it is necessary to reconfigure and study various events that may occur between users in the future.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.1-6
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• 2021

In the field of speech recognition, as the DNN is applied, the use of speech recognition is increasing, but the amount of calculation for parallel training needs to be larger than that of the conventional GMM, and if the amount of data is small, overfitting occurs. To solve this problem, we propose an efficient method for robust voice feature extraction and voice signal noise removal even when the amount of data is small. Speech feature extraction efficiently extracts speech energy by applying the difference in frame energy for speech and the zero-crossing ratio and level-crossing ratio that are affected by the speech signal. In addition, in order to remove noise, the noise of the speech signal is removed by removing the noise of the speech signal with an average predictive improved LMS filter with little loss of speech information while maintaining the intrinsic characteristics of speech in detection of the speech signal. The improved LMS filter uses a method of processing noise on the input speech signal by adjusting the active parameter threshold for the input signal. As a result of comparing the method proposed in this paper with the conventional frame energy method, it was confirmed that the error rate at the start point of speech is 7% and the error rate at the end point is improved by 11%.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.278-287
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• 2021

This study was conducted to analyze with a focus on gender whether the prevalence of hyperuricemia varies depending on sitting time and high-risk drinking by occupational group. For this study, the Korea National Health and Nutrition Examination Survey data were used, and 16,366 people were selected. The chi-square independence test and logistic regression model were used as the analysis method. The prevalence and risk of hyperuricemia by sitting time were different in the 'agricultural, forestry and fishery skilled workers' only in men. On the other hand, the prevalence with high-risk drinking, both men and women showed differences in 'managers, experts and related workers' and 'office worker'. Also, only women have differences in 'service and sales workers', 'technicians, equipment, machine operation and assembly workers' and 'unemployed'. These results inform men have a higher prevalence and risk of hyperuricemia and suggest that health care policies and medical services are needed to prevent it by occupational group.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.210-222
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• 2021

This study surveyed 289 beauty specialized high school students to analyze the relation between beauty curriculum awareness, career education satisfaction, and career decision efficacy. The beauty curriculum was concentrated towards the hair major and technical education for license acquisition, and the career plans were high in employment and college entrance admission. In terms of awareness and satisfaction of the beauty curriculum, nails and entrepreneurship were low (p<0.05, p<0.001), nails were low in career decision efficacy, and makeup and entrepreneurship was low in career education satisfaction (p<0.01, p<0.05). The career education satisfaction was higher as the beauty curriculum awareness rises, and educators had a positive influence on career education satisfaction. The following areas had the positive influence for each section; the school operation and facility area for job information, the curriculum area for future planning and problem solving, and the educator area for self-evaluation (p<0.05, p<0.001, p<0.001). Therefore, it is necessary to improve the curriculum in the majors of make-up, skin, and nails, and effective career education programs should be developed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.104-112
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• 2021

For extrusion processes in the process industry, the need to build smart factories is increasing. However, in most extrusion production sites, the production method is continuous, and because the properties of the data are undeed, it is difficult to process the data. In order to solve this problem, we present a methodology utilizing a near field communication (NFC) sensor rather than water-based data entry. To this end, a wireless network environment was built, and a data management method was designed. A non-contact NFC method was studied for the production performance-data input method, and an analysis method was implemented using the pivot function of the Excel program. As a result, data input using NFC was automated, obtaining a quantitative effect from reducing the operator's data processing time. In addition, using the input data, we present a case where a bottleneck is improved due to quality problems.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.143-155
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• 2021

The purpose of this study is to adopt qualitative research methods for alpine snowboard athlete to analyze their injury factors in depth from a psychological perspective. Therefore, in-depth interviews were conducted on four outstanding Alpine Snowboard athlete, and the results were as follows. Among the factors of the injury of Alpine snowboard athlete, the psychological point of view was derived from five factors: 'Trait Anxiety', 'Personality Characteristic', 'Expectancies of Significant Others, 'Discrepancy between ability and expectation' and 'Trauma Injuries'. The five psychological injury factors have expressed the raw data of the subject in a case-oriented manner, and empirical and field-oriented interview data will enable in-depth analysis of psychological factors related to injury to future Alpine snowboard athlete and coaches. It is expected to be used as a basis for injury prevention and countermeasures. All data can be used as a basis for positive effects on the quality of life of athletes and athletes in winter sports.