• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.38-48
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• 2020

The domestic AI speaker market is growing into a full-fledged early audience market beyond the innovative consumer market with 3 million domestic supply units at the end of 2018, but the reality is that for various reasons, we are not satisfied with the use. There are many previous papers on AI Speaker, but the majority of research so far tends to be biased towards the acceptance of the device's own performance. Many changes are being made, such as OTT providers trying to secure the market through collaboration with AI speaker providers. This study tried to identify the priorities for content services, which can be another major selection factor for AI speakers, excluding the factors of unsatisfactory technology. First, this study identified the priorities among AI speaker selection factors using AHP (Analytic Hierarchy Process), based on the AI speaker selection factors derived through literature research. The most important hierarchical factor are Concierge Service, Education Service, and Entertainment Service order in AI speaker selection, and the primary content among the individual factors was the one that ranked weather/temperature/fine dust (11.6%) and child caring content was in the second place (10.8%), and then music service was in the third place (9.8%). The three top priorities were derived from the items in the top tier 1, 2 and 3 priorities. Of the total 15 individual services, 6 sub-layers of Concierge Service (weather/temperature/fine dust, news, voice schedule notification) and Education Service (foreign language, toddler, reading books) were in the top 8, and two of the Entertainment Service Music service and movie service ranked third and sixth.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.1
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• pp.121-133
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• 2020

This study proposes a lesson design framework to design a science and engineering integrated lesson in a meaningful and easy way based on engineering design, which is the core feature of STEM education. The science and engineering integrated lesson design framework is developed based on the analysis of domestic and foreign theoretical and practical research papers and expert discussion on science and engineering integrated education as well as the feedbacks from science teachers. The science and engineering integrated lesson design framework uses engineering design as the main pedagogical method. The framework includes the core elements of the engineering integrated lesson suggested in previous studies and the achievement level of each grade group suggested in NGSS and provides a way for teachers to easily introduce engineering design into science classes. In addition, the framework developed in this study complements the shortcomings of the complicated Korean STEAM education framework. It can also provide specific guidance to in-service teachers as well as pre-service teachers to easily understand and apply engineering design and problem solving processes to science and engineering integrated lessons.

• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.1-11
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• 2020

The purpose of this study is to propose the direction of AI education in K-12 education through investigating and analyzing aspects of the purpose, content, and methods of AI education as the curriculum and teacher training factors. We collected and analyzed 9 papers as the primary literature and 11 domestic and foreign policy reports as the secondary literature. The collected literatures were analyzed by applying a descriptive reviews, and the implications were derived by analyzing the curriculum components and TPACK elements for multi-dimensional analysis. As a result of this study, AI education targets were divided into three steps: AI users, utilizer, and developers. In K-12 education, the user and utilizer stages are appropriate, and artificial intelligence literacy must be included for user education. Based on the current computing thinking ability and coding ability for utilizer education, the implication was derived that it is necessary to target the ability to create creative output by applying the functions of artificial intelligence. In addition to the pedagogical knowledge and the ability to use the platform, The teacher training is necessary because teachers need content knowledge such as problem-solving, reasoning, learning, perception, and some applied mathematics, cognitive / psychological / ethical of AI.

• Korean journal of communication and information
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• v.49
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• pp.57-80
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• 2010

This study examines how national newspapers interpret, evaluate and report the Korean grand canal and rebuilding four major rivers through the news writings. For this research, ChosunIlbo, the Hankyoreh Shinmun and HankukIlbo are selected. A total of 961 news writings are analyzed by using the concept of news frame designed by Gamson(1993). As a result, the findings are as follows: First, the most frequently reported news frame for ChosunIlbo is economic consequence; the Hankyoreh for ecological environment, and HankukIlbo for authoritative political execution by the administrative. Second, the most frequently interviewed group through all of the papers is the administrative and the ruling Grand National Party, the main body of rebuilding the Korean grand canal. On the country, voices of environmental protection groups, non-profit civic organizations and the ordinary people are reported rarely. Third, the ratio of authoritative political execution by the administrative and economic consequence are very high. Finally, in terms of the framing activity by the interviewed groups in the newspapers, ChosunIlb reports 'Outcome' the most frequently, the Hankyoreh does 'Loss-gain' & 'Process' and HankukIlbo 'Process' & 'Substantive'. Thus it concluded that ChosunIlbo does not play a role as a social mediator for the social disputes. However, the Hankyoreh and HankukIlbo try to represent environmental and civic organizations fairly.

• Korean Chemical Engineering Research
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• v.48 no.2
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• pp.224-231
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• 2010

In GvdW EOS, a recently presented paper, shows that the characteristic status for spherical non-linear particle, of which the mutual behavior is known to be vdWf(van der Waals force) only, could be described well enough in the critical region. However, in current papers, analysis has not been done on GvdW about whether it is accurate or not, even for the particles in the linear form or those with the additional mutual behavior such as static-electricity, so there's some argument about the wide use of that. Therefore, in this paper, for the simulation in the critical region of Normal-alkane group(R=methane, ethane, propane, butane) which are the particles that has a linear charateristic and Normal-amine group($RNH_2$, R=methyl-, ethyl-, propyl-amine) where static-electricity is extremely shown, GvdW parameter values about these particles are defined, and based on this simulation, we compared results to the current EOS presented recently, and analyzed them. Through the simulation, it was shown that in case of Normal-alkane group and Normal-amine group molecules, GvdW presents an accurate critical region characteristic which is far more close to the measurement compared to current EOSs. Especially for butane with big amount in molecules, we found out that only GvdW EOS can reach close enough to the critical point.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.537-549
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• 2021

The purpose of the present study was to investigate the research trends of published articles in Korean journals dealing with Temperament and Character Inventory (TCI) from 1998 through 2018. A total of 185 papers were analyzed about an affiliation of corresponding author, type and dimension of TCI, and research contents considering the major publication regarding the Korean version of the TCI and major event in Korea. The results were as followed. First, most researchers belonged to university (53%) and hospital (44%). Second, both temperament and character dimensions (65%) were often used rather than temperament dimension only (34%). Third, regarding the subjects, adults (52%), children and adolescents (38%), and preschoolers (10%) appeared the most frequently used in the order. Fourth, we found that psychopathology (36%), personality (22%), health (16%), addiction (10%), assessment (8%) were the most popular areas of concern. Based on these results with the focus of analysis on the relationships between research subjects and research contents, implications and directions for future research and clinical settings regarding the treatment effect using the TCI character dimensions and diverse age groups were discussed.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.13-27
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• 2020

This study aims to analyze the effect on the adherence intention of enterprise image, trust, and relationship maintenance by the relation marketing in companies, especially in design companies, to examine the relationship establishment in the operation and communication between customers (users) on using the company's service and the member working for the company, and to suggest its substantiation of the mutual satisfaction effect. The research method was, first, analyzed based on the data collected after examining the published domestic and foreign papers, academic journals, publications, books, and internet in order to conduct the theoretic consideration. Also, for objective validity and empirical proof, the empirical analysis was conducted on the survey conducted and collected over two months for the employees of design companies living in Seoul and Gyeonggi-do, and the results are as follows. First, the result of verifying the relationship between relationship marketing and trust showed that the company's expertise does not significantly affect its trust while the company's communication and reputation affect significantly on trust. Second, the relationship between relationship marketing and sustainability has been verified that all variables, such as expertise, communication and reputation does not significantly effect the relationship maintenance. Third, the company's trust has significant effect on relationship maintenance. In addition, the implication and limitation of the study related to this were suggested in the conclusion.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.25-35
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• 2023

Background: In order to emphasize the importance of clinical dental hygienists-led dental hygiene management processes for those with systemic diseases, we tried to identify systemic diseases affecting dental implants based on clinical data. Methods: In order to identify systemic diseases affecting dental implants, literature review was conducted from March 1 to May 31, 2023, and the search period was for research papers published in domestic and foreign academic journals from January 2000 to December 2020. Domestic databases used for search use RISS, Nuri Media(DBpia), and Korea Academic Information (http://www.papersearch.net ; KISS), while overseas databases searched Pubmed for dental implant failures, implants, systemic diseases, and Dental implant and system disease. Results: The cumulative survival rate of implants averaged 94.3 percent and the failure rate was 5.7 percent. Clinical analysis of systemic diseases related to implants accounted for the highest frequency with 13 (100.0%), followed by 8 (61.5%) studies on high blood pressure and smoking, 7 (53.8%) cardiovascular diseases, and 5 (38.5%). In addition, liver disease, thyroid abnormalities, blood abnormalities, organ transplants and infectious diseases were confirmed. Conclusion: Since unregulated systemic diseases are a risk factor for implant failure, clinical dental hygienists should continue to maintain healthy oral conditions by sharing information with patients during periodic preventive dental hygiene management processes such as dental hygiene assessment.

• Knowledge Management Research
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• v.25 no.1
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• pp.21-41
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• 2024

The global Industry has been shaped by start-ups that originated with knowledge-based innovative strategies or technologies in the 21st century. Specifically, laboratory start-ups that rely on research papers or patents for new technology development are recognized for their high survival rate and the creation of employment opportunities. Our study concentrated on 'I-Corps', which also introduced in Korea, standing for innovation corps is a laboratory startup program launched in 2011 by the NSF(National Research Foundation) to commercialize R&D results and foster entrepreneurship as part of the policy to build a start-up system at the national innovation level. In this study, we proposed and empirically tested a research model focusing on teams participating in the I-Corps program to determine how startup team diversity, among the team characteristics of laboratory startups, affected patent performance. As a result of the analysis, among the proposed variables, age diversity, educational background diversity, and value diversity had a significant impact on patent performance. The results of this study are expected to further strengthen the theoretical and practical foundations of researchers or practitioners of the I-Corps program, as well as related areas involving technology & laboratory startups, intellectual property and knowledge management fields in the future.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.141-166
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• 2018

Information technology improves the efficiency of humanities research. In humanities research, information technology can be used to analyze a given topic or document automatically, facilitate connections to other ideas, and increase our understanding of intellectual history. We suggest a method to identify and automatically analyze the relationships between arguments contained in unstructured data collected from humanities writings such as books, papers, and articles. Our method, which is called history mining, reveals influential relationships between arguments and the philosophers who present them. We utilize several classification algorithms, including a deep learning method. To verify the performance of the methodology proposed in this paper, empiricists and rationalism - related philosophers were collected from among the philosophical specimens and collected related writings or articles accessible on the internet. The performance of the classification algorithm was measured by Recall, Precision, F-Score and Elapsed Time. DNN, Random Forest, and Ensemble showed better performance than other algorithms. Using the selected classification algorithm, we classified rationalism or empiricism into the writings of specific philosophers, and generated the history map considering the philosopher's year of activity.