• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.192-202
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• 2017

This study analyzed the influence relations of the subjectivity of satisfaction with curriculum in food cooking area based on NCS by applying Q methodology, targeting graduates of hotel cooking department in college. This paper largely suggests two research questions like following. Research Question 1: What are the acceptance types of satisfaction with curriculum in food cooking area based on NCS? Research Question 2: What are the homogeneous characteristics and implications of each type? In the results of typological analysis based on such research questions, total four types were drawn like following: Type1(N=7): Basic Practical Classes Pursuit-type, Type2(N=5): Domestic Employment Preference-type, Type3(N=5): Famous Chef Inviting Class Pursuit-type, and Type4(N=3): Tailor-Made Lessons Pursuit-type. Each type showed its own distinctive characteristics. In this study, the graduates' perception in a specific cooking department would be used as a basis for follow-up researches. In the future, it would be necessary to have researches to establish the customized-curriculum system such as planning/operating student-centered teaching/learning guidelines and also conducting mentoring programs. Also, it is expected to have continuous follow-up researches to complement the limitations of this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.268-276
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• 2020

The purpose of this study is to determine the moderating effect of counseling class experience on the relationship between an undergraduate's personality characteristics, emotional intelligence, and empathic ability. As a result of verification, having course experience has a moderating effect on empathic abilities, reversing agreeableness from positive into negative. It also has a moderating effect on the influence of empathic concern, making that of an extravert positively significant. The experience of taking a course did not show a moderating effect on emotional intelligence that can be improved by learning. This demonstrates that education in counseling as carried out in universities is inappropriate, and course experience enhances empathic concern only when the student tends to be an extrovert. This implies that the current counseling system is a curriculum suitable for extroverted people. Also, when students have a friendly, amicable tendency, the experience of taking a course lowered empathic ability. This means that an amicable tendency is not a variable influencing educational experience, and that the present curriculum needs to be diversified. Although it is hard to provide a curriculum customized for each individual's characteristics, this study holds significance in emphasizing diversity in the curriculum to allow students to choose a small-group class or the lecture method based on personality or individual tendency.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.107-126
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• 2021

A status analysis and focus group interviews with librarians, school librarians and experts were conducted to find a new direction for revitalization of 19 public libraries affiliated to the Chungcheongnam-do Office of Education in the context of the advent of a new educational environment following the 4th industrial revolution. Through the research method, the knowledge experience edu library through the library community school was set as the vision of a public library belonging to the Chungnam Office of Education. The direction of public library service as an edu-library was divided into specialization as an educational library, life cycle customized service, knowledge experience-oriented service, and 4th industrial revolution intelligent information society service. Based on the traditional functions of the library, the space that the future public library should have was presented as an experiential learning space. In this study, a specialized direction for strengthening the educational function of libraries belonging to the Chungnam Office of Education was presented, which will contribute to finding ways to cooperate with schools and school libraries, and will provide a basis for preparing directions for libraries belonging to other regional offices of education.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.123-134
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• 2021

This study was conducted for the purpose of convergence exploration of evidence-based practices for the advancement of performance analysis of the extracurricular activities at Duksung Women's University. The research method consisted of an expert meeting procedure along with a procedure for analyzing previous studies dealing with the performance analysis of the university's extracurricular activities in the field of pedagogy. The contents of this study consisted of presenting some facts that should be based on evidence for the advancement of performance analysis of the extracurricular activities after the establishment of the center for extracurricular activities in Duksung Women's University. And in practices, the development and diagnostic analysis of tools for diagnosing extracurricular customized learning capabilities, data-based multidimensional analysis (IR system), continuous monitoring analysis through extracurricular certification, and analysis based on feedback tools were presented in a convergence perspective and context. As a result of the study, the evidence-based practices for the advancement of the performance analysis of the extracurricular activities at Duksung Women's University guarantees the validity and stability of the performance evaluation and feedback system of the extracurricular activities at Duksung Women's University, and has a close influence on the extracurricular education work of other universities analyzed as possible.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.501-511
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• 2020

This study investigated and analyzed the contents of writing learning, self-evaluation of writing ability, recognition of writing ability, and recognition of writing education direction to J university students in order to analyze the perception of writing of university students and find ways to improve writing education. Through this, the improvement plan of writing education was discussed. As a result of researching and analyzing the perceptions of university students, college students perceived writing ability as important, and they wanted practical writing classes that received feedback and wrote actual writing rather than theoretical classes. In addition, it was found that they wanted to develop their ability to construct and develop the contents of the article. In order to make writing education a practical competency for college students, theoretical lectures are important, but it is necessary to give enough time and opportunity to write in practice, and to develop customized practical writing. Also, it is necessary to make writing class that students can participate through various teaching methods, and to make writing ability lead to practical competence even after graduation through the method of university graduation certification requirements. This study is meaningful in that it can seek the direction of university writing education through the recognition of college students related to writing.

• Journal of Dental Anesthesia and Pain Medicine
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• v.23 no.2
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• pp.101-110
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• 2023

Background: Dentists make various efforts to reduce patients' anxiety and fear associated with dental treatment. Dental sedation is an advanced method that dentists can perform to reduce patients' anxiety and fear and provide effective dental treatment. However, dental sedation is different from general dental treatment and requires separate learning, and if done incorrectly, can lead to serious complications. Therefore, sedation is performed by a limited number of dentists who have received specific training. This study aimed to investigate the proportion of dentists who practice sedation and the main sedatives they use in the context of the Republic of Korea. Methods: We used the customized health information data provided by the Korean National Health Insurance. We investigated the number of dental hospitals or clinics that claimed insurance for eight main sedatives commonly used in dental sedation from January, 2007 to September, 2019 at the Health Insurance Review and Assessment Service. We also identified the changes in the number of dental medical institutions by region and year and analyzed the number and proportion of dental medical institutions prescribing each sedative. Results: In 2007, 302 dental hospitals prescribed sedatives, and the number increased to 613 in 2019. In 2007, approximately 2.18% of the total 13,796 dental institutions prescribed sedatives, increasing to 3.31% in 2019. In 2007, 168 institutions (55.6%) prescribed N₂O alone, and in 2019, 510 institutions (83.1%) made claims for it. In 2007, 76 (25.1%) hospitals made claims for chloral hydrate, but the number gradually decreased, with only 29 hospitals (4.7%) prescribing it in 2019. Hospitals that prescribed a combination of N₂O, chloral hydrate, and hydroxyzine increased from 27 (8.9%) in 2007 to 51 (9%) in 2017 but decreased to 38 (6.1%) in 2019. The use of a combination of N₂O and midazolam increased from 20 hospitals (6.6%) in 2007 to 51 hospitals (8.3%) in 2019. Conclusion: While there is a critical limitation to the investigation of dental hospitals performing sedation using insurance claims data, namely exclusion of dental clinics providing non-insured treatments, we found that in 2019, approximately 3.31% of the dental clinics were practicing sedation and that N₂O was the most commonly prescribed sedative.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.371-401
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• 2022

If the blockchain means storing information in a distributed environment that cannot be forged or altered, it is mentioned that this is similar to what librarians collect, preserve, and share authoritative information. In this way, this study examined blockchain technology as a way to collect and provide reliable information, increase work efficiency inside and outside the library, and strengthen cooperative networks. This study attempted to propose various ways to utilize blockchain technology in book relations based on literature surveys and case studies in other fields. To this end, this study first analyzed the field and cases of blockchain application to confirm the possibility and value of blockchain application in the library field, and proposed 12 ways to utilize it based on this. The utilization model was proposed by dividing it into operation and service sectors. In the operation sector, it is a digital identity-based user record storage and authentication function, transparent management and traceable monitoring function, voting-based personnel and recruitment system, blockchain governance-based network efficiency function, and blockchain-based next-generation device management and information integration function. The service sector includes improved book purchase and sharing efficiency due to simplification of intermediaries, digital content copyright protection and management functions, customized service provision based on customer behavior analysis, blockchain-based online learning platforms, sharing platforms, and P2P-based reliable information sharing platforms.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.217-242
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• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.