• Journal of The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.173-184
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• 2022

Purpose : The purpose of this study was two-fold: to identify the effect of dental hygienist's self-determination motivation on their job engagement and to analyze the moderating effect of compensation satisfaction that affect the relevance. Methods : Data were collected using a structured self-report questionnaire administered to 260 dental hygienists working in dental hospitals and clinics in Busan, South Korea. These were analyzed using IBM SPSS Statistics version 26.0 and SPSS Process Macro 3.5. A frequency analysis, including the respondents' general characteristics, frequency, percentages, and standard deviations, was performed. A regression analysis was also performed using SPSS Process Macro to verify the moderating effect of compensation satisfaction in the effect of self-determination motivation on job engagement. Results : The self-determination motivation of the dental hygienists had a statistically significant positive effect on their job engagement, which was the dependent variable. Higher intangible compensation satisfaction levels led to a stronger effect of intrinsic motivation but a weaker effect of extrinsic motivation on job engagement. Moreover, higher tangible compensation satisfaction levels strengthened the effect of intrinsic motivation on job engagement. Conclusion : Recently, the demand for oral health care has been increasing, Competition in the dental medical service market warrants, high-quality dental services based on accurate diagnosis and treatment. In this context, dental hygienists' job engagement must be improved. For this purpose, increasing the satisfaction of dental hygienists with self-determination motivation and appropriate compensation is effective. In addition, attention must be paid to the moderating effect of compensation satisfaction on the relationship between intrinsic motivation and job engagement. On the basis of the implications of this study, the results can be used as basic data for improving dental hygienists' welfare system and manpower management.

• Journal of Technologic Dentistry
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• v.22 no.1
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• pp.129-143
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• 2000

With increasing number of dental patients, it is also increasing patient's desire to get better medical service. As the concern for improvement of dental medical service quality is growing, satisfaction degree of dental patients is becoming very important. This study was to investigate difference of patients' satisfaction degree concerned with installation of dental labs and the reason. The data for this study were collected through Self-Administered Questionnaires from 284 patients who had visited dental clinics more than two times. The results are as follows: Female respondents ratio was as twice much as male ones. And 54.2% of the respondents were found out to have completed university education. Dental clinics with dental labs scored higher than others in patients' satisfaction and recommendation willingness degree. Dental clinics without dental labs scored higher in patients' revisiting willingness degree. With simple Correlation Analyses it was found out that the most influential variable concerned with patients' general satisfaction degree was medical facility in dental clinics with dental labs, dentist ability to cure in dental clinics without dental labs. There were some discrepancies with other subordinate variables. Through Stepwise Multiful Regression Analyses it was found out that the most influential variable with patients' general satisfaction degree was dentist ability to cure in total and dental clinics without dental labs and medical facility in dental clinics with dental labs. There were also some discrepancies with other subordinate variables.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.690-692
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• 2014

Conventional one-way cramming education at schools has the disadvantage of poor student interest in learning, immersion, and learning efficiency as well as a limitation in realizing collective intelligence and collaborative learning. Therefore, an educational content service platform using a near-field communication(NFC) technology is required as a tool for encouraging the voluntary learning participation of students and increasing learning effectiveness through self-directed studying. This study focuses on the development of an educational content production system that creates high-quality education contents suitable for smart schools. In these schools, students and teachers generally communicate through an electronic blackboard using Bluetooth, which is an NFC technology. Further, the lecture notes of individual students are reproduced and collected as big data, which will facilitate the sharing of these notes.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.388-412
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• 2009

This study analyzed the important factors in service quality for public usage of national R&D facilities and equipments, and, using those factors, performed the importance-performance analysis for several national R&D programs in order to examine what service quality factors should be concentrically improved in each programs. Additionally, the in-depth interview with program managers and R&D facility experts was performed to realize the managerial issues subject to the characteristics of programs regarding the national R&D public facility management. As the results, this study made some political suggestions such as the reformation of promoter's role regarding the formulation of the government policy to support those programs. For example, it is more suitable for colleges as the subject of programs to be invested for self-research purpose rather than public usage, for independent corporation to be centered on the more general and common production fields, and for the government R&D agencies on the leading and special technical fields.

• Journal of Korean society of Dental Hygiene
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• v.15 no.2
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• pp.235-243
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• 2015

Objectives: The purpose of the study is to investigate the oral health and oral health beliefs in industrial workers and to analyze the influencing factors on dental health care utilization. Methods: The subjects were 280 adults from 16 to 64 years old in Seoul and Gyeonggi from June 20 to July 31, 2014, A self-reported questionnaire was completed after receiving informed consent. The independent variables consisted of predisposing, enabling, and need factors. The predisposing factors included gender, age, residence area, number of family. The enabling variables included monthly income, education, occupation, type of employment. The need factors included subjective oral health recognition and oral health belief model. These three variables had a direct and indirect influence on dental clinic use. The types of occupation were classified into desk duties, merchandizing and service duties technology and others by KSCO-6. Results: The relating factors to dental health care utilization were sex, oral health beliefs perceived benefits, perceived barriers, and self-efficacy. Female tended to have the higher oral health beliefs perceived benefits, perceived barriers(p<0.01), self-efficacy(p<0.05). Conclusions: Those who received frequent oral examination and health instruction tended to have a favorable impact on maintenance of oral health status and improvement in quality of life.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.833-852
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• 2019

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.7
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• pp.969-975
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• 2018

The purpose of this study is to develop a healthcare service based on standard protocol and information communication technology for mother's sustainable postpartum care. The developed service was consisted of a client area where mothers measure, manage and transmit their vital signs using their own smartphone and personal health devices, and a server area that manages and shares with the received mother's vital signs and the results of examination results and personal health records. The client area collects vital signs through the IEEE 11073 Personal Health Device (PHD) using the m-health application of the previous study and Continua Health alliance certified personal health devices and transfers to Health Level Seven (HL7) V2.4, Continuity of Care Record (CCR) and Continuity of Care Document (CCD). The server area consists of a mobile web that manages and shares the HL7 Fast Healthcare Interoperability Resources (FHIR)-compliant personal health records to ensure interoperability of examination results, and a mobile web where the postpartum caregiver enters and manages the results of the mother's examination results and provides it to the mother. In this way, the healthcare service of this study securing continued exchanges between the mother and postpartum caregiver improves the quality of life of the mother not only to satisfy the needs of the mother who was discharged but also through self-management and postpartum. In the future, we will conduct a study applying mothers and postpartum caregiver after approval of a clinical trail at a university hospital to evaluate developed healthcare services.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.6
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• pp.744-749
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• 2013

The protection switching technology is widely adopted in the fiber-optical transmission equipments based on TDM(Time Division Multiplexing), such as PDH, SDH/SONET. A variety of protection switching algorithms for Ethernet networks and the progress of standardization are summarized in the document. There are several kinds of protection switching algorithms for Ethernet networks, such as STP, RSTP, MSTP and etc. However, since Ethernet signal move through detour route, it causes much time to recover. Accordingly, it is difficult to secure a usability of Ethernet networks and QOS(Quality of Service). Also, if the protection switching protocol standardized by IEEE and ITU-T is used, it remains a inherent network switching time for protection. Therefore, a specific protection switching algorithm for Ethernet are needed for seamless and stable operation of Ethernet networks service for Distribution Automation System(DAS). A reliable protection algorithm with no switching delay time is very important to implement Self-healing service for DAS. This study of FPGA based protection switching algorithm for Ethernet networks shows that in case of faults occurrence on distribution power network, immediate fault isolation and restoration are conducted through interaction with distribution equipments using P2P(Peer to Peer) communication for protection coordination. It is concluded that FPGA based protection switching algorithm for Ethernet networks available 0ms switching time is crucial technology to secure reliability of DAS.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.13-29
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• 2018

The final goal of this study was to develop an optimal service scenario to ensure that building occupants can be effectively evacuated from the building within the golden time without extra assistance in preparing and evacuating for fires. In addition, the research was carried out by dividing the current services into fire evacuation and preparedness phases by applying the Double Diamond process in order to find a way to better familiar them as a lifestyle and to always be prepared for fires. For the building occupants and managers, a total of 14 ideas were first suggested, including not only the services of how to evacuate from a fire, but also the life-style service functions associated with fire implementation technology in daily life. The 14 proposed ideas were conducted by the Service quality evaluation and Analytical Hierarchy Process(AHP) from the perspective of the service recipient, and those were finally prioritized from the service provider's perspective, taking into account the cost and practicality of the service provider. The results of this study show that differences in the importance of fire phases considered by stakeholders and the perception of fire generally vary considerably.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.223-234
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• 2010

This study is aimed at proposing a new research model in which application store intention to acceptance influence factors (i.e.. facilitating condition, mobile computing self-efficacy, service compatibility, and system quality) affect TAM (i.e., perceived usefulness and perceived ease of use) positively, leading to application store intention to acceptance eventually. This study developed a research model to explain the use of Apple's App Store, and collected 228 survey responses from the undergraduate students who had experiences with such application store services as game and personal information management application download. To prove the validity of the proposed research model, PLS analysis is applied with valid 228 questionnaires. By employing PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis testing. In brief, the finding of this study suggests that application store intention to acceptance influence factors affect TAM positively, and application store intention to acceptance as well.