• Journal of Digital Convergence
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• v.19 no.8
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• pp.113-132
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• 2021

This study is about the factors affecting organizational effectiveness and to suggest implications for encouraging organizational effectiveness. The conditional process model was analyzed with transformational leadership as an independent variable, educational service quality as a mediator, organizational effectiveness as a dependent variable, and trust as a moderator. The data collected from the financial institutions were analyzed using SPSS v22.0 and PROCESS macro v3.4. As a result, transformational leadership has a (+) effect on educational service quality, and educational service quality has a (+) effect on organizational effectiveness. Except for the relationship between charisma and innovative behavior, transformational leadership affect organizational effectiveness. Excluding the relationship between charisma and innovative behavior, educational service quality mediate between transformational leadership and organizational effectiveness. Trust only moderates between educational service quality and innovative behavior. Trust moderated the mediating effect of educational service quality between transformational leadership and innovative behavior. The results suggest the importance of education service quality management in a non-face-to-face working environment and the importance of individual consideration in innovative actions.

• Journal of the Microelectronics and Packaging Society
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• v.28 no.3
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• pp.9-15
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• 2021

Miniaturization of semiconductor devices has recently faced a physical limitation. To overcome this, 3D packaging in which semiconductor devices are vertically stacked has been actively developed. 3D packaging requires three unit processes of TSV, wafer grinding, and bonding, and among these, copper bonding is becoming very important for high performance and fine-pitch in 3D packaging. In this study, the effects of Ti nanolayer on the antioxidation of copper surface and low-temperature Cu bonding was investigated. The diffusion rate of Ti into Cu is faster than Cu into Ti in the temperature ranging from room temperature to 200℃, which shows that the titanium nanolayer can be effective for low-temperature copper bonding. The 12nm-thick titanium layer was uniformly deposited on the copper surface, and the surface roughness (R_q) was lowered from 4.1 nm to 3.2 nm. Cu bonding using Ti nanolayer was carried out at 200℃ for 1 hour, and then annealing at the same temperature and time. The average shear strength measured after bonding was 13.2 MPa.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.453-459
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• 2019

This study was conducted to investigate the effects of video - based movement therapy program on emotional variables (anxiety, depression, panic disorder) and EEG on panic disorder patients. The following conclusions were obtained. The results of the 12 - week video - based behavior therapy program showed that there were statistically significant differences (p <.05) in the anxiety scale of the exercise group. There were statistically significant differences (p <.05) between the left brain L-Beta region of the exercise group and the left brain H-Beta and the right brain L-Beta regions of the control group and no significant difference was found between the groups. The results of this study suggest that the performance of the video-based behavioral therapy program for panic disorder patients did not affect the emotional variables and EEG changes. However, in the case of emotional variables, It is considered that the longer the program execution period, the more result will be obtained. In addition, it is expected that more positive study results can be expected if the program is run after having had enough familiarity and adaptation time of the operation treatment program omitted in this study.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.147-158
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• 2021

This study was conducted seven times from 2007 to the 2019 Women's World Handball Championships to analyze and strengthen the strength of the Korean women's handball team through the analysis of the top five countries' strengths. Among the 41 national teams participating in the World Women's Handball Championship, a total of five national teams, including the Netherlands, Norway, Russia, Spain, and France, were selected for the final study. Among the records provided by the International Handball Federation (IHF), the ranking was selected by analyzing the competition records of 41 participating countries, and technical statistics and frequency analysis were conducted using the SPSS/PC+ Ver21.0 program. based on the accumulated records of the top five women's handball competitions, handball attack and defense strategies that can make up for the inferiority in future physical conditions are needed and detailed follow-up studies are needed. Also, we hope to use it as a basic resource for improving the performance of Korean women's handball players and to play a key role in enhancing the level of women's handball at the 2021 Tokyo Olympics.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.21-26
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• 2020

An autonomous driving system is based on the deep learning system built by big data which are obtained by various IoT sensors. The miniaturization and high performance of the IoT sensors are needed for diverse devices including the autonomous driving system. Specially, the miniaturization of the sensors leads to compel the miniaturization of the fixer structures. In the viewpoint of the miniaturization, metallic structure is a best solution to attach the small IoT sensors to the main body. However, it is hard to manufacture the small metallic structure with a conventional machining process or manufacturing cost greatly increases. As one of solutions for the problems, in this work, metallic FDM (Fused depositon modeling) based on metallic filament was proposed and the FDM process was investigated to fabricate the small metallic structure. Final part was obtained by the post-process that consists of debinding and sintering. In this work, the relationship between infill rate and the density of the part after the post-process was investigated. The investigation of the relationship is based on the fact that the infill rate and the density obtained from the post-processing is not same. It can be said that this work is a fundamental research to obtain the higher density of the printed part.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.249-260
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• 2021

This study is a meta-analysis study conducted to integrate and analyze the results of flip-learning studies for Korean nursing students. We searched PubMed, EMBASE, Cochrane, CINAHL, and Korean databases. Randomized controlled trials (RCTs) and Non-Randomized controlled trials (Non-RCTs) evaluating the effects of flipped learning for Korean nursing students were included. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using a random-effects meta-analysis. The entire effect size in flipped learning was big in effect size (SMD = 1.21; 95% CI = 0.84 to 1.63; I2 = 93.9; n = 23) compared to the control groups. The analysis results of subgroups according to the classification of Bloom showed that flipped learning was found to have a significant effect on psychomotor domain, cognitive domain, and affective domain. A total of 10 literature analyses, this meta-analysis showed that flipped learning on Korean nursing students is effective in psychomotor, cognitive, and affective domain than the traditional teaching method. The flip learning can be integrated into theoretical and practical nursing education to improve the academic performance of nursing students.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.7-18
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• 2021

Recently, various connected industrial parks (CIPs) architectures using new technologies such as cloud computing, CPS, big data, fifth-generation mobile communication 5G, IIoT, VR-AR, and ventilation transportation AI algorithms have been proposed in Korea. Korea's small and medium-sized enterprises do not have the upper hand in technological competitiveness than overseas advanced countries such as the United States, Europe and Japan. For this reason, Korea's small and medium-sized enterprises have to invest a lot of money in technology research and development. As a latecomer, Korean SMEs need to improve their profitability in order to find sustainable growth potential. Financially, it is most efficient for small and medium-sized Korean companies to cut costs to increase their profitability. This paper made profitability improvement by reducing costs for small and medium-sized enterprises located in CIPs in Korea a major task. VJP (Vehicle Action Program) was noted as a way to reduce costs for small and medium-sized enterprises located in CIPs in Korea. The method of achieving minimum logistics costs for small businesses through the Korean CIPs payment system was analyzed. The details of the new Korean CIPs payment system were largely divided into four types: "Business", "Data", "Technique", and "Finance". Cost Benefit Analysis (CBA) was used as a performance analysis method for CIPs payment systems.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.327-340
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• 2021

The purpose of this study aims to empirically verify about the impact of the customer satisfaction on the characteristics factors(presence, empathy, responsiveness, and interaction) on the customer satisfaction of 'Asia Model Festival', which was heldis an as untacted fashion and beauty performance that was successfully conducted in Seoul duringinyear 2020. and tThe regulatory effect of innovation resistance in the relationship of the characteristic factors and the customer satisfaction was also reviewed. The analysis showed that the characteristic factors have a positive effect on customer satisfaction, and the innovation resistance is found to control the relationship between interaction, empathy, and the customer satisfaction of the characteristic factors by the subfactor. By identifying the characteristic factors that affect the customer satisfaction of the un-tacted(Zzero Ccontact) visitors, which are expanding due to COVID-19, and studying the effect of controlling the innovation resistance, this study provides a basis for knowing what un-tacted(Zzero Ccontact) visitors need and what services they want to receive, and it presents practical implications and provides basic data for relevant research.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.406-415
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• 2021

In this study, a research model was established and analyzed in order to examine how the characteristics of organizational culture affect the innovation behavior of employees. This study divided the characteristics of organizational culture into development, stability, and rationality as sub-factors, and conducted a study on the relationship between characteristics of organizational culture and innovation behavior. This study also attempted to confirm whether creative efficacy mediates between the characteristics of organizational culture and innovation behavior. To this end, the data collection was targeted to 80 members of the organization in the company, and the SPSS and PLS programs were used to analyze the collected data. As a result of hypothesis testing, only stability among the characteristics of organizational culture had a significant direct effect on innovation behavior. These results can be interpreted as meaningful results in a study between the characteristics of organizational culture and the innovation behavior of employees. In addition, creative efficacy was found to significantly mediate the influence of organizational cultural characteristics (development, stability, and rationality) on employees' innovation behavior. We suggest that companies should focus on forming an organizational culture in terms of internal stability perceived by employees, and lead employees' innovation behavior to create organizational performance. We propose that companies should create an organizational culture so that the characteristics of the organizational culture (development, stability, rationality) increase the creative efficacy of the employees and lead to the innovation behavior of the employees.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.87-95
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• 2020

The Incheon airport is a gateway to and from the Republic of Korea and has a great influence on the image of the country. Therefore, it is necessary to predict the number of airport passengers in the long term in order to maintain the quality of service at the airport. In this study, we compared the predictive performance of various time series models to predict the air passenger demand at Incheon Airport. From 2002 to 2019, passenger data include trend and seasonality. We considered the naive method, decomposition method, exponential smoothing method, SARIMA, PROPHET. In order to compare the capacity and number of passengers at Incheon Airport in the future, the short-term, mid-term, and long-term was forecasted by time series models. For the short-term forecast, the exponential smoothing model, which weighted the recent data, was excellent, and the number of annual users in 2020 will be about 73.5 million. For the medium-term forecast, the SARIMA model considering stationarity was excellent, and the annual number of air passengers in 2022 will be around 79.8 million. The PROPHET model was excellent for long-term prediction and the annual number of passengers is expected to be about 99.0 million in 2024.