• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.210-218
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• 2023

The author presents a simple data-driven intraday technical indicator trading approach based on Genetic Programming (GP) for return forecasting in the Bitcoin market. We use five trend-following technical indicators as input to GP for developing trading rules. Using data on daily Bitcoin historical prices from January 2017 to February 2020, our principal results show that the combination of technical analysis indicators and Artificial Intelligence (AI) techniques, primarily GP, is a potential forecasting tool for Bitcoin prices, even outperforming the buy-and-hold strategy. Sensitivity analysis is employed to adjust the number and values of variables, activation functions, and fitness functions of the GP-based system to verify our approach's robustness.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.276-279
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• 2015

Along with the increase of the quantity of data in various industries, the construction industry has also developed various systems focusing on collecting data related to the construction performance such as productivity and costs achieved in construction job sites. Numerous researchers worldwide have been focusing on developing efficient methodologies to analyze such data. However, applications of such methodologies have shown serious limitations on practical applications due to lack of data and difficulty in finding appropriate analytic methodologies which were capable of implementing significant insights. With development of information technology, the new trend in analytic methodologies has been introduced and steeply developed with the new name of "big data analysis" in various fields in academia and industry. The new concept of big data can be applied for significant analysis on various formats of construction data such as structured, semi-structured, or non-structured formats. This study investigates preliminary application methods based on data collected from actual construction site. This preliminary investigation in this study expects to assess fundamental feasibility of big data analytic applications in construction.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.457-496
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• 2020

This study aims to extensively analyze the performance of various Machine Learning (ML) techniques for predicting version to version change-proneness of source code Java files. 17 object-oriented metrics have been utilized in this work for predicting change-prone files using 31 ML techniques and the framework proposed has been implemented on various consecutive releases of two Java-based software projects available as plug-ins. 10-fold and inter-release validation methods have been employed to validate the models and statistical tests provide supplementary information regarding the reliability and significance of the results. The results of experiments conducted in this article indicate that the ML techniques perform differently under the different validation settings. The results also confirm the proficiency of the selected ML techniques in lieu of developing change-proneness prediction models which could aid the software engineers in the initial stages of software development for classifying change-prone Java files of a software, in turn aiding in the trend estimation of change-proneness over future versions.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.6
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• pp.495-508
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• 2017

Today, MMS (Mobile Mapping System) uses the strengths of individual sensor technologies on a variety of platforms to increase the efficiency of geospatial data collection. In this paper, we analyzed the market size and technology trend of mobile mapping market in Korea and abroad, and analyzed frequency, trend, and characteristics of MMS related patents. The results of the analysis are as follows: First, it is expected that the domestic and overseas mobile mapping market will continue to grow in the future, and MMS-related technologies and applications are rapidly developing. Active research and development investment is required to preoccupy future market through technology development and patent competition. Second, the frequency of filing domestic patents is highly correlated with the results of national R&D, and industrial patent applications are highly related to national projects. It is analyzed as the result of introduction of preemptive technologies and research and development of companies for preemption in related industry rather than market development. Lastly, in Korean geospatial information industry survey, It is necessary to maintain the data so that it can be compared with the data of foreign institutions. In particular, statistical data that can grasp the market size in terms of geospatial information utilization and technical aspects are desperately needed.

• Journal of the Ergonomics Society of Korea
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• v.35 no.5
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• pp.361-370
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• 2016

Objective:The aim of this study is to evaluate contributions of individual finger forces associated with various levels of submaximal voluntary contraction tasks. Background: Although many researches for individual finger force have been conducted, most of the studies mainly focus on the maximal voluntary contraction. However, Information concerning individual finger forces during submaximal voluntary contraction is also very important for developing biomechanical models and for designing hand tools, work equipment, hand prostheses and robotic hands. Due to these reasons, studies on the contribution of individual finger force in submaximal grip force exertions should be fully considered. Method: A total of 60 healthy adults without any musculoskeletal disorders in the upper arms participated in this study. The young group (mean: 23.7 yrs) consisted of 30 healthy adults (15 males and 15 females), and the elderly group (mean: 75.2 yrs) was also composed of 30 participants (15 males and 15 females). A multi-Finger Force Measurement (MFFM) System developed by Kim and Kong (2008) was applied in order to measure total grip strength and individual finger forces. The participants were asked to exert a grip force attempting to minimize the difference between the target force and their exerted force for eight different target forces (5, 15, 25, 35, 45, 55, 65, and 75% MVCs). These target forces based on the maximum voluntary contraction, which were obtained from each participant, were randomly assigned in this study. Results: The contributions of middle and ring fingers to the total grip force represented an increasing trend as the target force level increased. On the other hand, the contributions of index and little fingers showed a decreasing trend as the target force level increased. In particular, Index finger exerted the largest contribution to the total grip force, followed by middle, ring and little fingers in the case of the smallest target force level (5% MVC), whereas middle finger showed the largest contribution, followed by ring, index and little fingers at the largest target force levels (65 and 75% MVCs). Conclusion: Each individual finger showed a different contribution pattern to the grip force exertion. As the target force level increase from 5 to 75% MVC, the contributions of middle and ring fingers showed an increasing trend, whereas the contributions of index and little fingers represented a decreasing trend in this study. Application: The results of this study can be useful information when designing robotic hands, hand tools and work equipment. Such information would be also useful when abnormal hand functions are evaluated.

• Journal of Nutrition and Health
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• v.56 no.4
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• pp.404-418
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• 2023

Purpose: This study aimed to analyze the trends in kimchi, vegetable, and fruit consumption among the Korean population and identify the factors associated with this consumption. The goal was to provide fundamental data for developing appropriate guidelines to increase kimchi consumption by understanding its characteristics. Methods: The analysis utilized data from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 1998 and 2020. A total of 81,680 adults, aged 30 years or older, were included in the trend analysis. For the analysis of factors associated with kimchi, vegetable, and fruit intake, a subgroup of 22,122 adults aged 30 years or older from the KNHANES (2016-2020) was divided into two groups: 30-64 years old and 65 years old or older. Since the KNHANES data employed a complex sampling design, the statistical analysis was conducted using the appropriate complex sampling design method. Results: The overall consumption of kimchi exhibited a declining trend among both men and women. Specifically, there was a significant decline in the intake of baechu kimchi among both genders. The decline in kimchi consumption above the standard was associated with a decrease in meal frequency and an increase in the frequency of eating alone. However, the patterns for unsalted vegetables and fruits differed compared to kimchi. Conclusion: In this study, there was a decline in kimchi consumption among both men and women, and the potential factors associated with this trend included Westernized dietary habits, the presence of a spouse who influenced dietary habits, and an increased frequency of solitary dining due to the rise in single-person households. Therefore, it is necessary to develop dietary guidelines that consider these factors.

• Information Systems Review
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• v.25 no.1
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• pp.189-212
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• 2023

This study uses various methods, including media analysis, expert interviews, and large-scale surveys, to derive notable digital business trends in 2023. Most trend studies have yet to deal with digital business trends in Korea. They also often have limitations in the objectivity of the results using unclear methods. On the other hand, this study emphasizes the validity of the results by collecting opinions from Korean digital business experts in various fields. First, Korean IT news articles were collected and analyzed through topic modeling analysis. Then, based on the results, interviews were conducted with 13 academic and industrial experts to derive 16 IT business trend candidates. Then, a survey was conducted on 210 experts to finalize the list of Korean IT business trends. Finally, to compare overseas and domestic views, we conducted an additional survey using the items developed by the Society for Information Management, SIM. This study is meaningful in that it drew prospects for digital business trends in consideration of the domestic business environment by scientifically converging various opinions of Korean digital business leaders. Our study contributes to developing strategies for IT technology and IT service business markets.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• Journal of the Korean Society of Earth Science Education
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• v.11 no.2
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• pp.78-89
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• 2018

The purpose of this study is to explore ways to improve developing exam questions for Earth science education by analyzing exam trend of Earth science education in the secondary-school teacher employment test (TET, hereafter). For this purpose, we developed an analysis framework to analyze items of Earth science education in the secondary-school TET, and this analysis framework covers required courses for 'theory of Earth science education' of 'Earth science teaching certificate courses'. The analysis framework consists of big categories, assessment domains, and assessment components. We divided system changes in secondary-school TET into 4 types, and analyzed exams of 2014-2018 school year, which is the existing exam system. According to the results, 22-24 points out of 80 have been allotted to Earth science education. Among assessment domains, Earth science Teaching & Learning domain has taken the highest percentage of scores and item numbers, followed by Earth science inquiry, history & philosophy of science, etc. For each domain, we analyzed exam tendencies in detail. Based the results, we suggested ways to improve developing exam questions for Earth science education in the secondary-school TET, and ways to improve curriculum for Earth science education in the teacher education program.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.243-252
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• 2021

This study examined the current trend of the qualitative researches on the experiences of individuals who have siblings with disabilities. This study analyzed 17 research articles that either have been published in journals or nominated during the recent ten years, attempting to suggest future directions of the research on siblings who have siblings with disabilities. This study analyzed 17 research papers examining their participants, research methods, and research topics. The results of the previous literature analysis are the followings. Phenomenological approach is the most frequently used research method and normally developing siblings who were in their 20s participated in the researches most. As most research papers did not consider the normally developing siblings birth order, sex, and types of disabilities, future researches will need to specify these variables. The results of this study suggest the followings. Researchers have tried to investigate and understand the experience of the individuals who have siblings with disabilities, using phenomenological research method. Future research should go beyond the phenomenological research to developed theories that can affect the government policies, employing various research methods with specified participants. Further, this study has also identified that the individuals who have siblings with disabilities wanted to be identified as a separate cohort that needs to be researched and receive support.