• Journal of the Korean Crystal Growth and Crystal Technology
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• v.32 no.1
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• pp.12-15
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• 2022

The effect of SiO₂, Na₂O and CaO on isokom temperatures in soda-lime glass is estimated by comparing calculated isokom temperatures using viscosity model proposed by Lakatos. The isokom temperatures at the viscosity of log η = 12.3, 10, 6.6 and 1 (Pa·s) are lowered by 6, 7, 10 and 24℃, respectively, by the substitution of SiO₂ with Na₂O by 1 mol%. Meanwhile, replacing 1 mol% of SiO₂ with CaO raises the isokom temperatures by 3~4 and 2℃ at the viscosity of log η = 12.3 and 10 (Pa·s), respectively, but lowers the temperatures by 1 and 21℃ at the viscosity of log η = 6.6 and 1(Pa·s), respectively.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.804-814
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• 2023

Various buildings are scattered below and around the flight path of UAM (Urban Air Mobility), which flies within a densely populated urban area. And the vertiport used by UAM for takeoff and landing is located on a flat area within the city center or on top of a building. As such, UAM operates in densely populated urban areas, and vertiports for takeoff and landing are installed in densely populated areas, requiring a very high level of safety. In particular, for safe landing of UAM, it is necessary to monitor the approach status of UAM approaching the vertiport from the final approach course and provide approach information. Accordingly, to monitor the UAM vertiport final approach path, research was conducted on technology that utilizes optical equipment that can be installed in a narrow site and has the advantage of reducing the burden of electromagnetic waves.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.39-48
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• 2024

Due to COVID-19, much research has been conducted on learning loss and educational gaps due to the postponement of the start of school and prolonged online distance learning, and most of the research has focused on the phenomenon of educational gaps. If a pandemic situation like this occurs in the future, fundamental policies are needed to resolve the educational gap. A fundamental solution requires not only an understanding of the educational gap phenomenon, but also the structure behind the phenomenon. Therefore, from a structuralist perspective, this study sought to model the educational gap caused by COVID-19 as a prototype of systems thinking and identify its structure. In addition, we looked at the unintended consequences resulting from policies aimed at resolving existing educational gaps. In order to respond to similar disaster situations in the future, policies for resolving the digital gap, support for basic academic skills, quality improvement for distance learning, and self-directed learning were discussed based on the structure of this study.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.435-441
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• 2024

In order for the large amount of collected data sets to be used as deep learning training data, sensitive personal information such as resident registration number and disease information must be changed or encrypted to prevent it from being exposed to hackers, and the data must be reconstructed to match the structure of the built deep learning model. Currently, these tasks are performed manually by experts, which takes a lot of time and money. To solve these problems, this paper proposes a technique that can automatically perform data processing tasks to protect personal information during the deep learning process. In the proposed technique, privacy protection tasks are performed based on data generalization and data reconstruction tasks are performed using circular queues. To verify the validity of the proposed technique, it was directly implemented using C language. As a result of the verification, it was confirmed that data generalization was performed normally and data reconstruction suitable for the deep learning model was performed properly.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.675-699
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• 2012

Recently innovation cluster has been emphasized as a valid policy measure for innovation. For suggesting a new model of innovation cluster, we conducted literature review for the theories of regional innovation system(RIS) and innovation clusters. As a result, the success factors of innovation cluster were classified into system measures, physical measures, and social(human resources) measures from the perspective of RIS. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. For an in-depth analysis, a survey for the tenant companies in Pangyo technovalley(PTV) was conducted. As a result, it was found that Gyeonggi province's innovation cluster policy is evolving from 'a government-initiated system' to 'the 3rd-generation convergence RIS' and that PTV is closely related to the system measures of 'support for up-to-date management and technology information' and 'support for academic-research-industry cooperative research and technological cooperation,' physical measures of 'strengthening the function of PTV support division' and 'shared research equipment and other infrastructures,' and social measures of 'legal, financial, and administrative support system' and 'public childcare facilities'. Also, technology sector was divided into IT and non-IT for a validity check to find out that there was no significant difference in all factors, except for the public relations factors. This study is expected to provide resources for other related researches.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.788-817
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• 2018

This paper aims to explore the relationship between organizational competencies and performance by analysing perception survey data of R&D management agencies in Korea. The regression analysis results show the perceived performance measured by policy contribution and R&D management efficiency may be enhanced by organizational competencies such as professionalism and efficiency of R&D management specialized agencies. The paper suggests several improvement measures for strengthening professionalism of R&D management agencies in Korea. First, expertise competencies for strategic planning, management, evaluation need to be empowered in the whole process of R&D cycles. Second, in order to stabilize financial resources of R&D management specialized agencies, the existing R&D budget for Planing, Evaluation and Management should be reformed. Third, R&D management specialized agencies need setting up special organizations for managing inter-organizational collaboration with other R&D organizations. And the agencies should employ special experts in each position for strategic planning, management, evaluation, performance and commercialization. Finally, different R&D management procedures of each R&D management specialized agency need to be standardized in order to promote innovative R&D culture.

• Journal of Service Research and Studies
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• v.9 no.3
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• pp.87-99
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• 2019

Healthcare and data science are often linked through finances as the industry attempts to reduce its expenses with the help of large amounts of data. Data science and medicine are rapidly developing, and it is important that they advance together. Data science is a driving force in transition of healthcare systems from treatment-oriented to preventive care in healthcare 3.0 era. It enables customized precision-based medicine that current healthcare systems cannot facilitate, and discovers more cost-effective treatment. Currently, healthcare big data is in the reality of medical institution, public health, medical academia, pharmaceutical sector as well as insurance agency. With this motivation, the medical college of Soonchunhyang university has performed a 'healthcare data science initiative(HDSI)' since 2014. Most of domestic HDSI programs focus on short-term contents such as mentoring and sharing cases for data science. Therefore, it is difficult to provide education tailored to the level of skills and job competency required at the practical site. Soonchunhyang HDSI implemented specialized strategies for improving resilience and response to changes in the IT education of current healthcare with the emphasis on the need for systematic activation of the practical HDSI. The HDSI has been performed as a part of on industry-academic link program in CK-1. Through quantitative and qualitative analysis, this paper discussed the HDSI process, performance, achievement, and implications.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.45-54
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• 2019

Empathy has been observed to be pivotal in enhancing both social relations and the efficiency of task performance. Empathetic interaction has been shown to begin with individuals mirroring each other's facial expressions, vocal tone, actions, and so on. The internal responses of the cardiovascular activity of people engaged in empathetic interaction are also known to be synchronized. This study attempted to objectively and quantitatively define the rules of empathy with regard to the synchronization of cardiac rhythm between persons. Seventy-four subjects participated in the investigation and were paired to imitate the facial expressions of their partner. An electrocardiogram (ECG) measurement was taken as the participants conducted the task. Quantitative indicators were extracted from the heart rhythm pattern (HRP) and the heart rhythm coherence (HRC) to determine the difference of synchronization of heart rhythms between two individuals as they pertained to empathy. Statistical significance was confirmed by an independent sample t-test. The HRP and HRC correlation(r) between persons increased significantly with empathy in comparison to an interaction that was not empathetic. A difference of the standard deviation of NN intervals (SDNN) and the dominant peak frequency decreased. Therefore, significant parameters to evaluate empathy have been proposed through a step-wise discrimination analysis. Empathic interactions may thus be managed and monitored for high quality social interaction and communication.

• Science of Emotion and Sensibility
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• v.21 no.4
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• pp.43-54
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• 2018

The aim of this study is to determine the effect of motion sickness on pupil rhythm. Sixteen volunteers of both genders (8 male, 8 female, mean age $25.67{\pm}2.43$ years) experienced VR contents in both 2D and HMD versions for 15 minutes, and their pupillary rhythms were compared. The irregular pattern of the pupillary rhythms, as demonstrated by increasing mean pupil diameter (mPD) and standard deviation of the pupil diameter (sPD), revealed motion sickness after experiencing HMD condition. The pupillary response is strongly related to the cognitive load, and the motion sickness can be interpreted as a change in the cognitive load caused by the increasing volume of visual information that must be processed and the conflict or inconsistency between different sensory modalities. The method proposed in this study could be a non-contact measurement method for the monitoring of motion sickness using a web-camera rather than previous sensor-based methods.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.537-546
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• 2019

This study verified the factors influencing continuous intention to use of OTT service users through technology acceptance model and extension. For this purpose, the main results were derived through correlation analysis and path analysis using SPSS 21.0 program and AMOS 21.0 program. The summary is as follows. First, perceived ease of use was found to have a statistically significant positive effect on perceived usefulness. Second, perceived ease of use did not have a statistically significant effect on continuous intention to use. Third, the perceived usefulness has a statistically significant positive effect on continuous intention to use. Fourth, perceived innovativeness has a statistically significant positive effect on perceived ease of use. Fifth, perceived innovativeness has a statistically significant positive effect on continuous intention to use. Sixth, perceived playfulness has a statistically significant positive effect on continuous intention to use. The above results will be meaningful in that it has revealed a path to understand the extension of the technology acceptance model of OTT services and acceptance of OTT services.