• Aerospace Engineering and Technology
• /
• v.11 no.1
• /
• pp.111-117
• /
• 2012

Agile is a software development methodology which was established for four objectives; people, collaboration, responsiveness, and working software. Thus the Agile methodologies have been applied not only software development fields but also various special areas of technology. ESA (European Space Agency) adopt several Agile methodologies, including Scrum as the key technique, for the software development of ground segment. This article analyzes trends of Agile methodologies and introduction cases of the methodologies for ESA's ground segment software development.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.5
• /
• pp.279-291
• /
• 2023

In recent years, language model-based generative AI technologies have made remarkable progress. In particular, it has attracted a lot of attention due to its increasing potential in various fields such as summarization and code writing. As a reflection of this interest, the number of patent applications related to generative AI has been increasing rapidly. In order to understand these trends and develop strategies accordingly, future forecasting is key. Predictions can be used to better understand the future trends in the field of technology and develop more effective strategies. In this paper, we analyzed patents filed to date to identify the direction of development of language model-based generative AI. In particular, we took an in-depth look at research and invention activities in each country, focusing on application trends by year and detailed technology. Through this analysis, we tried to understand the detailed technologies contained in the core patents and predict the future development trends of generative AI.

• Korean Journal of Construction Engineering and Management
• /
• v.18 no.5
• /
• pp.20-31
• /
• 2017

As global interests in the 4th Industrial Revolution have recently increased, it becomes critical for the construction industry to pro-actively cope with it. For effective actions, the construction industry needs to make active use of 4th Industrial Revolution technologies based on the up-to-date understanding of the trends of construction technology development employing the 4th Industrial Revolution technologies. The objective of the study is to investigate and identify key trends of ICT construction technology development over the last ten years based on Big Data Analytics. The study identifies eleven key trends and discusses that ICT construction technology development has not been as active as expected and software technologies have been less developed compared to hardware technologies.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• v.1 no.1
• /
• pp.31-40
• /
• 2020

The rapid development of technologies in unmanned aerial vehicles (UAVs) has led to their use in various areas. UAVs are mainly used for commercial purposes, but their utilization is increasingly important in other areas because their operation cost is less than satellites and aerial imaging. The utilization of UAVs in the environment/ecology area is relatively new. Therefore, identifying the trends of UAV-related spatial information is significant in basic research for UAV utilization. This study quantitatively identified domestic and international research trends related to UAV utilization and analyzed research areas. An attempt was also made to identify upcoming UAV-related topics in the environment/ecology research field using text mining to analyze the bibliographic information of global research literature. Domestic UAV-related studies were classified into seven clusters where basic research on "UAV technology/industry trends" was abundant, and studies on data collection and analysis through UAV remote sensing technology have increased since 2015. Eight clusters were identified for international studies where the most active research area international was "remote sensing technology/data analysis". In addition, Canopy, Classification, Forest, Leaf Area Index, Normalized Difference Vegetation Index, Temperature, Tree, and Atmosphere appeared as the main keywords related to environment and ecology. The appearance frequencies and association strengths were high because the advancement in UAV optical sensor technology and the rapid development of image processing technology enabled the acquisition of data that could not be obtained from existing spatial information. They are recognized as future research topics as related domestic studies have begun corresponding to international research.

• The Journal of Asian Finance, Economics and Business
• /
• v.4 no.2
• /
• pp.37-44
• /
• 2017

This research is devoted to the development of methods general and standard methodological approaches and approbation those for the evaluation of economic potential and level of concentration of the regions of Kazakhstan. This paper presents the results of development of the authors on the selection and justification of the methodological approaches for quantitative evaluation of the economic potential (the degree of territorial differentiation of the profile) and concentration of regions. In this study, we used scientific methods: method of analysis the main trends of economic development, and method of evaluation of concentration of the region. Based on the analysis of foreign techniques developed and tested methodical approaches to the assessment of the economic potential (index and coefficient methods). Proposed methodological approaches to the assessment profile of the territory and developed a system of indicators, which includes an aggregated index of spatial concentration, which accurately reflects the concentration of production in the region. This study shows the results of the analysis of the potential regional disparities and trends of economic development of Kazakhstan. By using, the proposed methodology shows the possibility of their use; we calculated the indicators of integrated assessment of the economic potential and indicators of spatial concentration.

• 대한한약학회:학술대회논문집
• /
• 2007.11a
• /
• pp.185-186
• /
• 2007

• Journal of the Korean Society of Food Culture
• /
• v.31 no.4
• /
• pp.286-299
• /
• 2016

This study analyzed trends and contents of ancestral ritual foods of Korean traditional Jong-ga as a domestic thesis. In searching the keywords related to ancestral ritual foods using a thesis search site, a total of 15 theses in seven journals were selected for analysis. Three theses from 1996 to 1999, six theses from 2005 to 2008, and another six theses from 2012 to 2016 were announced. In measuring frequency by dividing case families analyzed in the thesis into region, there were 83 families, including seven families from Gyeonggi (8.4%), seven families from Chungcheong (8.4%), two families from Honam (2.4%), and 67 families from Yeongnam (80.8%). Fifty-four families out of 67 families from Yeongnam were located in Andong-si, occupying 65.1% of the 83 families. The family showing the highest frequency was 'Seoae Jong-ga' (12 times). The family clan with the highest frequency was eight families of the 'Jinseong Lee clan' In the future, it would be necessary to understand the research flow through analysis of research trends in ancestral ritual foods of Jong-ga as well as interdisciplinary research and methodological diversification of studies on ancestral ritual foods of Jong-ga.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.24-31
• /
• 2017

As the concept of sustainability becomes more and more popular, a large amount of literature have been recorded recently on intelligent green building and smart city (IGB&SC). It is therefore needed to systematically analyse the existing knowledge structure as well as the future new development of this domain through the identification of the thematic trends, landmark articles, typical keywords together with co-operative researchers. In this paper, Citespace software package is applied to analyse the citation networks and other relevant data of the past eleven years (from 2006 to 2016) collected from Web of Science (WOS). Through this, a series of professional document analysis are conducted, including the production of core authors, the influence made by the most cited authors, keywords extraction and timezone analysis, hot topics of research, highly cited papers and trends with regard to co-citation analysis, etc. As a result, the development track of the IGB&SC domains is revealed and visualized and the following results reached: (i) in the research area of IGB&SC, the most productive researcher is Winters JV and Caragliu A is most influential on the other hand; (ii) different focuses of IGB&SC research have been emerged continually from 2006 to 2016 e.g. smart growth, sustainability, smart city, big data, etc.; (iii) Hollands's work is identified with the most citations and the emerging trends, as revealed from the bursts analysis in document co-citations, can be concluded as smart growth, the assessment of intelligent green building and smart city.

• Korean Journal of Child Studies
• /
• v.27 no.4
• /
• pp.17-38
• /
• 2006

This analysis of trends in research on children's temperament published in Korean journals during the 25years dating from 1980 consisted of articles from 10 reliable journals related to child studies and analyzed for research frequency, contents, and methodology. Results showed that 51 research articles on children's temperament were published during this period, most of them in child studies and early childhood education/educare journals. The main content of research was the role of temperament in development. Most of the studies used methods categorized as quantitative and non-experimental; subjects were more than 100 children younger than school age with their mothers as adult subjects. Instruments validated in Korea and based on the individual approach and quantitative data analysis methods were used frequently.

• The Korean Journal of Emergency Medical Services
• /
• v.26 no.2
• /
• pp.19-35
• /
• 2022

Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends. Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program. Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs. Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.