• The Journal of Information Systems
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• v.30 no.2
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.441-448
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• 2018

The purpose of this study was to investigate the factors affecting of hospital information system quality factors on user satisfaction and service innovation performance in general hospitals. Using 5-point Likert scale, survey was performed on 250 nurses on hospital information system quality, user satisfaction, and service innovation performance. Data were analyzed by t=test, ANOVA, correlation and regression analysis using SPSS WIN 24.0 program. The results showed that significant correlation between service innovation performance and independent variables was seen in system quality (r=0.644, p<.001), information quality (r=0.650, p<.001), service quality (r=0.629, p<0.001) and user satisfaction (r=0.831, p<.001). User satisfaction was a moderating variable between hospital information system quality and service innovation performance with explanatory power of 78.4%. Higher user satisfaction (B=0.557, p<.001) showed positive correlation with greater service innovation performance. Investigating the mediating role of user satisfaction between EMR quality and service innovation performance, it is suggested that importance of system quality, user friendly system support and service.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.3
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• pp.388-396
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• 2016

Through the correspondence works with international electrotechnical vocabulary(IEV) in the smart grid field and power information technology field, we analyzed cases for discussion of terms and definitions in the IEV and then proposed an advanced procedure and computing system for standardization of International Electronical Committee(IEC) terminologies. The standardization procedure consists of processes for existing terminology, new terminology and correspondent terminology which have different structures. An example of the standardization work of correspondent terminology is given. The standardization computing system are based on the process for terminology extraction, terminology verification and terminology management which could provide the Wikipedia type terminology search function. In order to prevent that there exist multiple terminologies in IEV, the database search system is needed to be developed. We proposed the 'IEV_Term_Search' program which is the database search system. Terminology standardization of different technical committees(TC) and completion of the IEV to promote cooperation between TC 1 and the TCs must be followed by revision and standardization using the standardization computing system.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.523-531
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• 2021

This study aims to examine the role of social media marketing on the performance of micro-, small and medium-sized enterprises (MSMEs) during the COVID-19 pandemic. This research method uses a quantitative approach and the analytical tool used is Structural Equation Modeling (SEM) based on Partial Least Square. The sampling technique used purposive sampling and the sample in this study was MSMEs who use social media for marketing. The social media used are Facebook, Instagram, and Whatsapp. The number of samples in this study was 254 MSMEs. Data collection used online questionnaires. The research findings show that the use of social media marketing is influenced by compatibility, perceived usefulness, and perceived ease-of-use. The results of this study indicate that the use of social media for marketing has a positive effect on the performance of MSMEs, especially in increasing sales, customer relationships, productivity, and creativity. This means that the better the management of social media for marketing, the better the performance of MSMEs will be. The theoretical contribution to this research is built on the TAM and UTAUT theories and their impact on social media marketing on MSMEs in developing countries that are living through the COVID-19 pandemic.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.3
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• pp.79-86
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• 2021

Purpose : This study was conducted to provide fundamental data to prepare for countermeasure to protect health of workers in the dental clinics from hazardous chemical substance, and to assess effecting factors on management of Material Safety Date Sheet(MSDS) and handling of hazardous chemical substance among workers in dental clinics. Methods : This study was carried out a survey with structured self-administered questionnaire which was consisted of 7 questions about the management of MSDS, 9 questions about recognition and practice of hazardous chemical substances in dental clinics, and 7 questions about general characteristics. Total subjects of this study were 204 adult who workers in dental clinics located in Busan and Gyeng-nam province area. The collected data were analysed using the SPSS statistical package program (ver. 23.0). Results : The factor that positively affected factor on recognition and practice of hazardous chemical substances in dental clinics has experience that has been institutional health-care accreditation. The factor that positively affected the management of MSDS has experience that has been institutional health-care accreditation. Conclusion : It is necessary to prepare countermeasures such as campaign and education on cognition of general chemical substances, and also the author concern that it should be perform the education on handling of hazardous chemical substances in dental clinics for more effecting management of MSDS. In order to improve the management of MSDS and improve the awareness and safety of chemicals, it is necessary to encourage the implementation of the institutional health-care accreditation system or prepare guidelines for the management of MSDS.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.354-361
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• 2018

This paper describe the Lateral Navigation algorithm design and verification that implementation on Mission Computer's OFP for Korean Utility Helicopter(KUH) instead of Auto Flight Control System(AFCS) Vehicle Management System. The LNAV function transmits Roll command into the AFCS System. The Roll command value will be calculated by control algorithms in MC. The Operational Flight Program(OFP) shall use for its calculations different measurements of the aircraft's attitude and place. Using these inputs, the OFP will translate a navigational demand(for example-to perform the selected flight plan) into Roll commands to the autopilot. By conducting integration test using SIL and ground test, flight test, it is confirmed that the introduced algorithm meets the requirements of the Mission Equipment Package(MEP) system. LNAV function is verified through the System Integration Laboratory(SIL) test, ground and flight test.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.5
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• pp.1005-1012
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• 2016

LED beacons operated on an isolated marine area are mostly employing the solar power supply system, and this system is well known for increasing the cost of management and maintenance. Recently, a number of researches and demonstrations on self-contained LED beacon is actively conducted to solve this issue. In this work, we propose an self-contained LED beacon with Bluetooth Low Energy function for an effective management of LED beacon. Firstly, control program structure is designed by expanding the status protocol of self-contained LED beacon, and then it is implemented into the form which administrator can easily understand. The control system visualizes the status and control data of self-contained LED beacon, and this enables the rapid decision-making of administrator. Also, minimizing electricity consumption of the beacon, it can transfer and update the status or light information of self-contained LED beacons with smart phone.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.899-905
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• 2014

In order for corporations and institutions to perform efficient management, they first have to infer what factors customers seek for, then continuously strive to provide them with better service. The most important element to provide better service is accurate feedback from customers; however, Korea lacks of standardized system for measuring customer satisfaction. This study suggests the analysis system for survey, which evaluates customer satisfaction efficiently. The system sets up measuring factor for each service quality, and makes it possible to perform methodically. Especially, the system introduces scoring scheme so that it evaluates quality of service or unit service and prioritizes factors those need to be improved. Furthermore, the survey is operated via mobile and online system, which can be analyzed in real time, and lets foreigners use in their own languages. Through applying the analysis system of customer satisfaction survey to students who participated in work-study program, it substantiates the effectiveness of this system.

• Journal of Microbiology and Biotechnology
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• v.19 no.2
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• pp.140-146
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• 2009

MAPSI(Management and Analysis for Polyketide Synthase Type I) has been developed to offer computational analysis methods to detect type I PKS(polyketide synthase) gene clusters in genome sequences. MAPSI provides a genome analysis component, which detects PKS gene clusters by identifying domains in proteins of a genome. MAPSI also contains databases on polyketides and genome annotation data, as well as analytic components such as new PKS assembly and domain analysis. The polyketide data and analysis component are accessible through Web interfaces and are displayed with diverse information. MAPSI, which was developed to aid researchers studying type I polyketides, provides diverse components to access and analyze polyketide information and should become a very powerful computational tool for polyketide research. The system can be extended through further studies of factors related to the biological activities of polyketides.

• Genomics & Informatics
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• v.6 no.2
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• pp.95-97
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• 2008

Many bioinformatics sites have managed local bio-databases, including major databases such as GenBank and PIR with update load. We have developed several programs to monitor the update status of these databases and to FTP them automatically. These programs can be used for maintaining local bio-databases as recent versions and providing up-to-date databases through FTP sites. Currently, the program serves major bio-databases and will extend to accommodate many more bio-databases.