• Imaging Science in Dentistry
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• v.51 no.2
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• pp.187-193
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• 2021

Purpose: This study aimed to assess the usefulness of machine learning and automation techniques to match pairs of panoramic radiographs for personal identification. Materials and Methods: Two hundred panoramic radiographs from 100 patients (50 males and 50 females) were randomly selected from a private radiological service database. Initially, 14 linear and angular measurements of the radiographs were made by an expert. Eight ratio indices derived from the original measurements were applied to a statistical algorithm to match radiographs from the same patients, simulating a semi-automated personal identification process. Subsequently, measurements were automatically generated using a deep neural network for image recognition, simulating a fully automated personal identification process. Results: Approximately 85% of the radiographs were correctly matched by the automated personal identification process. In a limited number of cases, the image recognition algorithm identified 2 potential matches for the same individual. No statistically significant differences were found between measurements performed by the expert on panoramic radiographs from the same patients. Conclusion: Personal identification might be performed with the aid of image recognition algorithms and machine learning techniques. This approach will likely facilitate the complex task of personal identification by performing an initial screening of radiographs and matching ante-mortem and post-mortem images from the same individuals.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.59-70
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• 2024

Background: The COVID-19 pandemic (the form of coronaviruses) developed at the end of 2019 and spread rapidly to almost every corner of the world. It has infected around 25,334,339 of the world population by the end of September 1, 2020 [1] . It has been spreading ever since, and the peak specific to every country has been rising and falling and does not seem to be over yet. Currently, the conventional RT-PCR testing is required to detect COVID-19, but the alternative method for data archiving purposes is certainly another choice for public departments to make. Researchers are trying to use medical images such as X-ray and Computed Tomography (CT) to easily diagnose the virus with the aid of Artificial Intelligence (AI)-based software. Method: This review paper provides an investigation of a newly emerging machine-learning method used to detect COVID-19 from X-ray images instead of using other methods of tests performed by medical experts. The facilities of computer vision enable us to develop an automated model that has clinical abilities of early detection of the disease. We have explored the researchers' focus on the modalities, images of datasets for use by the machine learning methods, and output metrics used to test the research in this field. Finally, the paper concludes by referring to the key problems posed by identifying COVID-19 using machine learning and future work studies. Result: This review's findings can be useful for public and private sectors to utilize the X-ray images and deployment of resources before the pandemic can reach its peaks, enabling the healthcare system with cushion time to bear the impact of the unfavorable circumstances of the pandemic is sure to cause

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.49-66
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• 2015

The increase of social interest for the e-Learning industry leads to the increase of e-learning contents and the system providers which are targeted at private education companies and public institutions. As the e-Learning is used in various areas, the evaluation for evaluation criteria and suitability are needed to provide a high-quality service and reliability. Previous works suggested the evaluation criteria for quality certification, however, the technical evaluation criteria are not provided. In this paper, we suggest the technical evaluation criteria for quality certification of e-Learning contents and describe the detailed features. Through the proposed work, we can establish the technical evaluation criteria and suggest detailed evaluation items for them by providing examples. It is expected that the proposed study is able to be utilized in e-Learning industry, if the policy is reflected and notified according to the feedback of the results of the trial service.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.1-23
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• 2022

Access to knowledge and information is a universal human right. However, even after the Marrakesh Treaty was adopted on June 27, 2013, only 1-7% of standard printed materials are accessible to people with reading disabilities, including the visually impaired, and library services are very weak. As a result, the book famine of people with reading disabilities continues. This study, focusing on such severe access gaps and inequalities, analyzes Learning Ally and Bookshare in the US, the Royal National Institute of Blind People (RNIB) in the UK, Bibliothèque Numérique Francophone Accessible (BNFA) in France, and SAPIE in Japan, which are considered private organizations leading library services for the disabled in major developed countries. And based on the derived implications and the Marrakesh Treaty, a strategic plan was proposed to strengthen the services of the disabled in domestic libraries. It is urgent to enact the 'Act to Resolve Reading Barriers', amend the provisions related to the Copyright Act that restrict library services, strengthen the organizational capacity of the National Library for the Disabled, raise the service index for the disabled in library evaluation, and establish a library cooperation system centered on regional representative libraries and expand services, etc.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.129-139
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• 2021

This study categorized the viewpoint of cooperation between schools and communities into marketability and publicness, and the viewpoint of school education and lifelong education. The perspective of school education consider to utilize local resources for the growth of students. The lifelong education perspective sees cooperation between schools communities to support the learning of residents. While the marketability perspective pursues individual choices and diversity of opportunities, the publicness perspective focuses on ensuring citizens' right to learn and evenly distributing learning opportunities. From the point of view of school education, it seeks to utilize local resources for the growth and development of students, and in the view point of lifelong education schools are understood to support the learning activities of residents. Cooperation between schools and communities could be presented by categorizing them into private organization-led, educational authorities-led, and provincial authorities-led depending on the subject of the promotion. Recently, local governments and educational governments, schools and communities are developing to a stage where they cooperate to realize the vision of a educational community. For the cooperation between schools and communities the local community, cooperation between local government and educational government and the harmony between publicness and marketability are emerging as tasks.

• Journal of Elementary Mathematics Education in Korea
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• v.12 no.2
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• pp.125-148
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• 2008

The purpose of this study was to analyze concretely and minutely a primary factor of deciding attitude of learning mathematics of elementary school students, grope a solution for negative attitude of learning mathematics with researching a difference between major factors by achievement in mathematics, and examine a suggestion in forming positive attitude of learning mathematics. The results of this study is as follows. First, elementary school students decided whether they liked or disliked mathematics, depending on not only characteristics of mathematics, but also teacher's teaching mathematics with interest and fun, or teacher's teaching tediously and difficultly. Second, negative attitude toward mathematics exam of elementary school students was influenced by parents' meddling for exam and negative attitude toward result of exam more than uneasiness by exam itself. Third, as private education for elementary school students becomes more popular, the learning mathematics out of school can be an important factor to decide attitude of learning mathematics of students on several sides such as teacher, teaching method, method of presenting task, and so on as much as mathematics class in school, and characteristics of mathematics. Fourth, students demanded silent and concentrative atmosphere in studying to have positive attitude of learning mathematics. Fifth, as the result of examining major factors that form attitude of teaming mathematics of groups by achievement in mathematics, there was considerable difference in each group. Students in a group of ‘upper’ and ‘lower’ disliked parents' meddling and rebuke, but it didn't change greatly their attitude toward mathematics exam. However a group of ‘middle’ showed the greatest uneasiness toward an exam, and they reacted sensitively to parent's rebuke, scolding, learning environment, and so on.

• Child Health Nursing Research
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• v.20 no.2
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• pp.96-104
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• 2014

Purpose: Nurse educators can use film effectively to promote nursing students' motivation and indirect experiences. The purpose of this study was to develop a teaching-learning design using films based on Kolb's experiential learning model for understanding of child growth and development, and to evaluate students' satisfaction with cinenurducation according to learning type and content. Methods: Participants were seventy-four first year nursing students in the spring semester of 2013 at a private university located in Busan. In each class, participants watched film, participated in peer-to-group discussion and an educator's lecture, and wrote a composition based on Kolb's four learning stages. After class, participants filled out a questionnaire developed by the researchers. Results: Results showed a high satisfaction with cinenurducation regardless of learning type and content concerning child growth and development. Advantages of cinenurducation included it being "fun and interesting," "helpful to understand the characteristics of children," and "develop critical thinking through discussions." Disadvantages included "length of time needed," and "burdensome." Conclusion: Films are advantageous in that they provide indirect experience for nursing students. Selection of appropriate films and evaluation of learning goal achievements are important to maximize the effectiveness of cinenurducation.

• The Mathematical Education
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• v.44 no.4 s.111
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• pp.603-625
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• 2005

Identity is the concept which approaches individuals' affective problems with the social and cultural view. The previous studies on the problems, studied the attitudes, beliefs, or emotions while they restricted the problems to teachers or students' private problems. Otherwise, identities focus on individuals which participate to any community and share its social practices(Mclead, 1994). This study purposed to get an understanding on the teaching and learning mathematics in elementary mathematics classroom with an ethnographic view, while we consider mathematics as a kind of social practices, and mathematics classrooms as communities of practice. We analysed teacher's identities on mathematics and teaching mathematics depending on her responses of the questions as following: How does she think about mathematics, what are the instructional goals in her mathematics classroom, how do students learn mathematics in her mathematics classroom. In addition, we analysed students' identities on mathematics and learning mathematics depending on their responses of the questions as following: What do students think of mathematics, do they like mathematics, why do they study mathematics, how do they feel their mathematics classroom(describe your classroom) and themselves in it(describe yourselves in your classroom), what are their duties and what do they do actually in their mathematics classroom.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.1039-1044
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• 2005

This paper presents a robotic agent design and application in the ubiquitous intelligent space. We set up an experimental environment with Bluetooth host, Bluetooth client, furniture and home appliance, and robotic agents. First, the agents basically performed patrol guard to detect unexpected penetration, and to keep home safely from gas-leakage, electric leakage, and so on. They were out to patrol fur a robbery while navigating in a living room and a private room. In this task, we used an area-based action making and a hexagon-based Q-learning to control the agents. Second, the agents communicate with Bluetooth host device to access and control a home appliance. The Bluetooth host offers a manual control to person by inquiring a client robot when one would like to check some place especially. In this exercise, we organize asynchronous connection less (ACL) between the host and the client robots and control the robot maneuver by Bluetooth host controller interface (HCI).