• Journal of Korean Medicine Rehabilitation
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• v.31 no.4
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• pp.87-103
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• 2021

Objectives The purpose of this study was to investigate the development process and describe the diagnosis methods, theories and treatments of Mongolian traditional medicine and Korean traditional medicine through literature records and prior studies. Methods Literature records and previous studies on traditional medicine of both countries were collected through various sites in Mongolia (Esan, Mongoliajol, Kok, Yumpu, Scribd, Science and Technology Foundation [STF]) and Korea (Koreanstudies Information Service System [KISS], Korea Institute of Science and Technology Information [KISTI], National Digital Science Library [NDSL], Research Information Sharing Service [RISS], Oriental Medicine Advanced Searching Integrated System [OASIS]). Also the English database was searched through PubMed. In the case of Mongolian traditional medicine, medical books published in Mongolia were mainly referenced and used for research. Results Studying the development process, basic concepts and the system of diagnosis and treatment of the two traditional medicine, several commonalities and differences were revealed. Conclusions This study showed that the scope of diagnosis methods between Mongolian and Korean traditional medicine were slightly different, and that the medical terminology for the diagnosis method had slightly different contents from each other. Although there were many similarities in treatments of Mongolian and Korean traditional medicine, the Chuna therapy is found in Korean traditional medicine only. The basic theories constituting traditional medicine were the same, but the five-element theory used by the two countries differs in the following two factors. Mongolia uses elements of air and space as the theory of five elements, while Korea uses elements of wood and iron.

• Journal of Information Science Theory and Practice
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• v.11 no.3
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• pp.16-28
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• 2023

Record management, especially in schools as an institution's information centre, needs serious attention from government agencies. Under record management policy, there needs to be practical guidance on record management specific to schools. This paper aims to construct a record management model based on the Eight Indonesian Education Standards to support school accountability in Indonesia. The urgency of this paper in filling the gap in the Electronic Record Management System (ERMS) role is primarily to support school accountability. It is important to include educational laws and regulations in Indonesia to be a foundation in archive management, including preparing the ERMS. This study aims to develop a model of record management in schools. The final stage in this research is to find the final model. The final model is a model that experts and practitioners have validated. A total of 30 records managers were selected for the interviews. Furthermore, the trial was carried out in 30 senior high schools. The research sampling consisted of representatives of archive managers at selected schools from five islands in Indonesia (Kalimantan, Java, Papua, Sumatra, and Sulawesi). Our research findings show that conceptual models meet valid criteria and significantly impact archivist performance in better schools. The practical implication is that the archival management model based on national education standards policies contributes to practical archives and records management to support school accountability.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.31-42
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• 2024

Different industries mostly rely on quality certification for promoting their products or brands. Although getting quality certification, specifically by human experts is a tough job to do. But the field of machine learning play a vital role in every aspect of life, if we talk about quality certification, machine learning is having a lot of applications concerning, assigning and assessing quality certifications to different products on a macro level. Like other brands, wine is also having different brands. In order to ensure the quality of wine, machine learning plays an important role. In this research, we use two datasets that are publicly available on the "UC Irvine machine learning repository", for predicting the wine quality. Datasets that we have opted for our experimental research study were comprised of white wine and red wine datasets, there are 1599 records for red wine and 4898 records for white wine datasets. The research study was twofold. First, we have used a technique called backward elimination in order to find out the dependency of the dependent variable on the independent variable and predict the dependent variable, the technique is useful for predicting which independent variable has maximum probability for improving the wine quality. Second, we used a robust machine learning algorithm known as "XGBoost" for efficient prediction of wine quality. We evaluate our model on the basis of error measures, root mean square error, mean absolute error, R2 error and mean square error. We have compared the results generated by "XGBoost" with the other state-of-the-art machine learning techniques, experimental results have showed, "XGBoost" outperform as compared to other state of the art machine learning techniques.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.557-568
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• 2013

This study is conducted to analyze the difference among college students' department satisfaction, career maturity, and career stress, and to examine the influence of department satisfaction and career maturity on career stress. A survey was done among 824 college students using the scales on department satisfaction, career maturity, and career stress and the following results were found. First of all, department satisfaction, career maturity, and career stress had statistically significant differences based on students year, age, academic records, entrance motive, peer relation, and health condition. Secondly, the subfactors of department satisfaction, namely, course satisfaction, relationship satisfaction, general satisfaction, and recognition satisfaction, showed statistically significant differences according to age, gender, academic records, entrance motive, peer relation, and health condition. Thirdly, the subfactors of career maturity, namely, determinacy, participation, independence, tendency, and compromise, had statistically significant differences according to year and age. Lastly, career maturity and department satisfaction considerably influenced career stress: when department satisfaction and career maturity were lower, career stress was higher. These results indicate that department satisfaction and career maturity correlate with career stress. Therefore, in order to decrease career stress, college students who maintain a low level of department satisfaction and career maturity should receive active guidance and education.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.523-529
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• 2020

The purpose of this study is to collect official world records for a total of five years from 2015 to 2019 from the modern pentathlon world competition database to reveal the impact of shooting types and characteristics on the record. To that end, the entire shooting spree was analyzed for all male and female athletes participating in the UIPM Level 1 World Cup and World Championships. According to the study, the number of round trips and the number of cars increased, the number of shooting accumulation deteriorated, the best record in the first round trip 3rd round, and the worst record in the fourth round trip 5th round. In addition, the deviation values are accumulated according to the fire recording or without success of the first step round trip by 9 percent in accordance with the growing number of the deviation is an increasing trend is, is that over time. Modern pentathlon at the success of the first step is more important and as fire can just hit first step in the event of great effect in reducing record. Based on these studies, the factors and characteristics that affect shooting accuracy are identified, and follow-up research linked to track records is necessary to match the characteristics of the combined competition.

• The KIPS Transactions:PartA
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• v.13A no.5 s.102
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• pp.413-420
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• 2006

Most vendors of digital signal processors (DSPs) support a Harvard architecture, which has two or more memory buses, one for program and one or more for data and allow the processor to access multiple words of data from memory in a single instruction cycle. We already addressed how to efficiently assign data to multi-memory banks in our previous work. This paper reports on our recent attempt to optimize run-time memory. The run-time environment for dual data memory banks (DBMBs) requires two run-time stacks to control activation records located in two memory banks corresponding to calling procedures. However, activation records of two memory banks for a procedure are able to have different size. As a consequence, dual run-time stacks can be unbalanced whenever a procedure is called. This unbalance between two memory banks causes that usage of one memory bank can exceed the extent of on-chip memory area although there is free area in the other memory bank. We attempt balancing dual run-time slacks to enhance efficiently utilization of on-chip memory in this paper. The experimental results have revealed that although our algorithm is relatively quite simple, it still can utilize run-time memories efficiently; thus enabling our compiler to run extremely fast, yet minimizing the usage of un-time memory in the target code.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.57-70
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• 2018

The advancement and the spread of information and communication technology (ICT) changes the way we live and act. Computer and ICT devices become smaller and invisible, and they are now virtually everywhere in the world. Many socio-economic activities are now subject to the use of computer and ICT devices although we don't really recognize it. Various socio economic activities supported by digital devices leave digital records, and a myriad of these records becomes what we call'big data'. Big data differ from conventional data we have collected and managed in that it holds more detailed information of socio-economic activities. Thus, they offer not only new insight for our society and but also new opportunity for policy analysis. However, the use of big data requires development of new methods and tools as well as consideration of institutional issues such as privacy. The goals of this research are twofold. Firstly, it aims to understand the opportunities and challenges of using big data for planning support. Big data indeed is a big sum of microscopic and dynamic data, and this challenges conventional analytical methods and planning support tools. Secondly, it seeks to suggest ways of visualizing such spatial big data for planning support. In this regards, this study attempts to develop a dynamic visualization model and conducts an experimental case study with mobile phone big data for the Jeju island. Since the off-the-shelf commercial software for the analysis of spatial big data is not yet commonly available, the roles of open source software and computer programming are important. This research presents a pilot model of dynamic visualization for spatial big data, as well as results from them. Then, the study concludes with future studies and implications to promote the use of spatial big data in urban planning field.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.279-286
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• 2012

The purpose of this study was identified the influence of introducing Electronic Medical Records (EMR) on reception attitude, based on literature investigation, the study converted utility and serviceability from Davis TAM Model into awareness of effects in computerized database except attitude variable. The electronic survey for doctors, nurses, medical technicians of a general hospital located in Gangwon-do was performed for 4 weeks from Nov, 11th, 2009 to Dec, 2nd and the collected data was computerized through SPSS 12.0. The factors influencing reception attitude were divided into 4 categories; basic characteristics of the individual, awareness of privacy protection, awareness of effects in computerized database, technological preparation and measured detailed specific variables. As the result of this, the factors influencing reception intention were different depending on recognizing the effectiveness caused by computerization of medical information. Especially, in terms of the difference between basic characteristics of the individual and awareness of privacy protection, there were significant distinctions among 3 sectors; general, transactional, online information management. The significant effects were identified from information management related to business or online information management depending on experiencing security education.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.225-230
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• 2020

The KBO League is held over a long period of time due to the large number of games. Also, Korea has a diverse and distinct climate. Therefore, this study analyzed the relationship between the daily average temperature and the record of batting power such as home runs, triples, doubles, number of bases, batting percentage, and net batting percentage, and a third baseball record was defined. For this study, the correlation between the daily average temperature data and the batter who entered the standard at-bat in the KBO League in 2019 was analyzed through the SEMMA method. From the results of this study, it was found that the average daily temperature had an effect on a batter's hitting power. In particular, it was found that a batter's hitting power decreased on the day of temperatures recorded between 20.0 degrees and 24.9 degrees, and it was discussed that this may have been related to the physical condition of the pitcher the batter was facing. Therefore, it can be expected that players, coaching staff, and the front desk can use them in the game through conditions outside the game. In addition, it is expected that it will be a more useful analysis model by analyzing the records of pitching, base running, and defense as well as subsequent batting records.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.383-394
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• 2021

This study examines the determinants that affect the continuous intention to use of augmented reality applications by applying the technology acceptance model2(TAM2). A survey was conducted on 241 people, and the main results were derived by performing confirmatory factor analysis, correlation analysis, and path analysis using SPSS 21.0 and AMOS 21.0 programs. Presenting the results, it was found that the user's interface, interactivity, and relative advantage of the augmented reality application had a positive effect on perceived usefulness, and technological self-efficacy had a positive effect on perceived usefulness and perceived ease. Perceived ease of use had a positive effect on perceived usefulness, and both perceived usefulness and perceived ease had a positive effect on continuous intention to use of augmented reality applications. In future research, it will be necessary to verify the user effect of augmented reality applications by applying the fields of education or games.