• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.495-498
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• 2006

Domestic information service authority and company provide database services to introduce the newest scientific and technological information, trend, and research data. Among many databases, FSTA((Food Science and Technology Abstracts)) is a bibliographic database providing worldwide coverage of all scientific and technological aspects of the processing and manufacturing of human food products. To service FSTA database through KRISTAL search engine developed by KISTI(Korea Institute of Science and Technology Information) need many process such as data obtainment, building, search, modification, rebuilding, and statistics. In this paper, we present implementation of management tool used to build FSTA database effectively. The management tool provides graphical user interface and controls all process from data obtainment to building of KRISTAL information searching system. By building FSTA database fast and accurately, user can get information that they want to find from the newest FSTA database.

• Journal of Korean Medical classics
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• v.23 no.2
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• pp.89-105
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• 2010

Research methodology on Traditional Medicine in East Asia refers to logical thinking system, empirical positivism system and methodology of developing these knowledge systems. Logical thinking system of abstract concepts such as analogy or abduction and positivism system of reasonable explanation such as the five elements and their characteristic theory have been used in various ways empirically or in the form of humanities and knowledge system was developed through parallel structure of empirical positivism and exegetical studies. After the 16th century, evidence was required along with the tradition of putting emphasis on rationality, logicality and empirical positivism and characteristics of medical humanities can be found in emphasizing on medical ethics. Data that can be considered as structural review paper or meta analysis from original data of research on Traditional East Asian Medicine should be evaluated as historical evidence which is equivalent to specialist opinion, descriptive disease research, single case report or case series. Historical evidence based medicine is a research method using Historical evidence to selectively support data that are faithful to traditional theory with higher possibility to be used in future traditional east Asian medicine that links between traditional knowledge and scientific research methodology. Moreover, historical evidence based medicine tries to re-evaluate the value of traditional knowledge and ultimately, guides the direction of development of traditional medicine through scientific rationality based on history and culture.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.735-746
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• 2020

This research is defined as a study regarding on structured and systematized of existing literature review of the intersection between intellectual property management, management and technology transfer offices (TTOs). It takes a deeper look at requirements within universities, scientific institutions and the business environment should be interconnected with each other. The literature review shows that TTOs have control over the process of knowledge transfer and they have contributed to improving the efficiency of the use of production and human resources. In this paper, authors proposed the methodological tools based on methodology model, which identified success factors for using project management in TTO between two countries - Kazakhstan and Spain. Further, we used methodology is focused on solving the problems of quantitative analysis based on the use of primary data, which allowed us to reach a huge number of respondents without any restrictions, and secondary data from statistical database. Findings and results are summarized at the end of article show that Kazakhstan is following the path of the Spanish experience. However, Kazakhstan can become more successful in commercializing scientific technologies and transferring knowledge and technologies. In turn, Spain can use the data from our analysis to work on barriers and improve the activities of TTOs.

• Journal of Korean Society of Rural Planning
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• v.27 no.4
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• pp.25-32
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• 2021

This study was to analyze the Physical Activity Therapy Programs (PATPs) in U rban-rural region before and after COVID-19 in order to suggest a way of activating program. The subjects were the 43 PATPs performed in 4 Community Health Centers of Gimcheon, Jeongeup, and Pyeongtaek. The basic data was collected by official documents, expenditure budget, the homepage of the centers, national information disclosure portal, telephone interview, and e-mail with the person in charge of the programs. All the data were classified to the administrative districts, the health-related fitness variables, and the life cycles. The American College Sports Medicine Guidelines were used to evaluate the PATPs. As a results, the number of the PATPs was too small compared to the population of the regions. Also, the PATPs were not considered to the characteristics of participants such as Life-Cycle and regional facilities so on. The organization and management of the PATPs were principally deficient in improving health-related fitness variables. In 2020 as the period of COVID-19 pandemic, the number of programs and participants with face-to-face PATPs was significantlry decreased compared to 2019, while that was increased with non-face-to-face PATPs. In conclusion, PATPs should be increased and operated in accordance with scientific exercise prescription guidelines. Also, the programs should be considered with the proportion and characteristics of Life-Cycle population. Further, the various with non-face-to-face PATPs should be developed and screened with based on scientific data for post-corona virus pandemic. Further, non-face-to-face PATPs programs should include a kind of practical way to promote the individual physical activity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1800-1817
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• 2022

With the development of the economy and the improvement of living standards, the hot issues in the subject area have become the main research direction, and the mining of the hot issues in the subject currently has problems such as a large amount of data and a complex algorithm structure. Therefore, in response to this problem, this study proposes a method for extracting hot keywords in scientific journals based on the improved BERT model.It can also provide reference for researchers,and the research method improves the overall similarity measure of the ensemble,introducing compound keyword word density, combining word segmentation, word sense set distance, and density clustering to construct an improved BERT framework, establish a composite keyword heat analysis model based on I-BERT framework.Taking the 14420 articles published in 21 kinds of social science management periodicals collected by CNKI(China National Knowledge Infrastructure) in 2017-2019 as the experimental data, the superiority of the proposed method is verified by the data of word spacing, class spacing, extraction accuracy and recall of hot keywords. In the experimental process of this research, it can be found that the method proposed in this paper has a higher accuracy than other methods in extracting hot keywords, which can ensure the timeliness and accuracy of scientific journals in capturing hot topics in the discipline, and finally pass Use information technology to master popular key words.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.27-33
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• 2021

With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.439-441
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• 2023

National park is one of the important types of protected area management systems established by IUCN and a management model for effective conservation and sustainable use of natural and cultural heritage in countries around the world, and it assumes important roles in conservation, scientific research, education, recreation and driving community development. This study takes Liaohe National Park in China, a typical representative of global coastal wetlands, as a case study, and uses python technology to collect travelogues and reviews of visitors from Mafengwo.com, Ctrip.com, Go.com, Meituan.com and Dianping.com as a source, and the text spans from 2015 to 2022. The results show that wildlife resources, natural landscape with river and sea, wetland ecology and fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park. However, there is still much room for improvement in terms of supporting services and facilities, public education and tourists' experience and participation in Liaohe National Park. In this paper, we use python data visualization technology to study the public perception of wetland wildlife as the theme, and grasp the satisfaction, spatial distribution, activity content and emotional tendency of the public in the process of wetland wildlife as the theme, so as to better promote the Liaohe National Park to better carry out the public experience while strictly adhering to ecological protection, and to provide the Liaohe National Park with a better opportunity to This will provide scientific basis for the Liaohe National Park to play a better role in ecological civilization construction and education of ecological civilization awareness.

• Journal of the Korean Mathematical Society
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• v.38 no.3
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• pp.523-559
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• 2001

To predict the fate of groundwater contaminants, accurate spatially continuous information is needed. Because most field sampling of groundwater contaminants are not conducted spatially continuous manner, a special estimation technique is required to interpolate/extrapolate concentration distributions at unmeasured locations. A practical three-dimensional estimations method for in situ groundwater contaminant concentrations is introduced. It consistas of two general steps: estimation of macroscopic transport process and kriging. Using field data and nonlinear optimization techniques, the macroscopic behavior of the contaminant plume is estimated. A spatial distribution of residuals is obtained by subtracting the macroscopic transport portion from field data, then kriging is applied to estimate residuals at unsampled locations. To reduce outlier effects on obtaining correlations between residual data which are needed for determining variougram models, the R(sub)p-estimator is introduced. The proposed estimation method is applied to a field data set.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.5
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• pp.714-721
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• 2018

This study proposes a risk evaluation method based on RAM and AHP data in order to prevent subjectivity of risk assessment. The risk assessment consist of Risk Likelihood(RL) and Risk Consequence(RC) in five levels. However, risk analysis of warships is hard to make a judgment because of small quantity production(Ship), long building period, equipment changes, complexity, various kinds of equipments, etc. The proposed RAM data and AHP analysis method are used to quantify each level quantitatively. RAM(MTBF) date is used to classify the RL, and AHP analysis is used to classify the RC. These scientific and data-based method will increase objectivity as well as efficiency of risk evaluation.

• Genomics & Informatics
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• v.17 no.4
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• pp.44.1-44.3
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• 2019

Artificial intelligence (AI), big data, and ubiquitous robotic companions -the three most notable technologies of the 4th Industrial Revolution-are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions-the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge.