• Journal of IKEEE
• /
• v.25 no.3
• /
• pp.430-436
• /
• 2021

The non-contact body temperature measurement system is one of the key factors, which is manage febrile diseases in mass facilities using optical and thermal imaging cameras. Conventional systems can only be used for simple body temperature measurement in the face area, because it is used only a deep learning-based face detection algorithm. So, there is a limit to detecting abnormal symptoms of the infants and young children, who have difficulty expressing their opinions. This paper proposes an improved facial expression recognition algorithm for detecting abnormal symptoms in infants and young children. The proposed method uses an object detection model to detect infants and young children in an image, then It acquires the coordinates of the eyes, nose, and mouth, which are key elements of facial expression recognition. Finally, facial expression recognition is performed by applying a selective sharpening filter based on the obtained coordinates. According to the experimental results, the proposed algorithm improved by 2.52%, 1.12%, and 2.29%, respectively, for the three expressions of neutral, happy, and sad in the UTK dataset.

• Journal of vocational education research
• /
• v.30 no.4
• /
• pp.179-202
• /
• 2011

The purpose of this study is to discern elementary students' career education model based on career anchor. For this purpose, we have researched literatures and case studies related to career anchor and developed a draft of the career education model. Afterwards, through expert formative evaluation of the draft, we have developed the final model. Specific model's processes include 'finding yourself' - 'selecting learning contents based on career anchor'- 'studying based on career'- 'over coming things lacking in your career' - 'assessment'. These steps include activity content and supporting elements for learners. This study is different from precedent career education related studies because through career anchor the learner can find his true self, teachers can able to teach flexibly while adjusting to diverse environment changes, also this program can be utilized within the class setting immediately, and it is developed to help learners and teachers to utilize the program with ease and systematically.

• Journal of the Korean Society for Library and Information Science
• /
• v.53 no.3
• /
• pp.215-245
• /
• 2019

The purpose of this study is to derive evaluation elements on teen space in public libraries in Korea and to study current status and implications for teen space in public libraries. To this end, six items of space evaluation factors; Convenience, Accessibility, Safety, Diversity, Comfort and Emotionality - were derived based on the teen space guidelines by the Young Adult Library Service Association and previous studies. The research also conducted a case study on teen spaces of five public libraries in Seoul. As a result, teen space in libraries requires use guidance and convenience facilities, access to information resources, maintenance of user guidelines, various spaces for teens, pleasant library environment and learning motivation promotion, and provision space to support all necessary resources of teens.

• Journal of The Korean Association of Information Education
• /
• v.23 no.4
• /
• pp.303-314
• /
• 2019

Since 2019, the informatics education is being conducted for elementary school 5th, 6th grade students through the curriculum revised 2015. But, informatics education is implemented from the lower grades of elementary school in many countries. The purpose of this study was to suggest the direction in the choice of programming language considering characteristics for lower grades student. In order to achieve the goal, evaluation criteria were developed considering the development characteristics of lower grades and necessary elements of educational programming language. The results of analyzing the usability of the two languages based on the criterion are as follows. First, Viscuit can be used to consider the expressive power of students with lower school age or to learn algorithms without learning about programming concepts. Second, ScratchJr is easy to learn the concept of algorithm and programming. This study is meaningful in that has presented implications considering the developmental state of the students in preparation for rhe programming education.

• The Mathematical Education
• /
• v.58 no.1
• /
• pp.55-77
• /
• 2019

Textbooks play a very important role as a medium for implementing curriculum in the school. This study aims to analyze tasks for mathematical competencies in the high school 'mathematics' textbooks based on the 2015 revised mathematics curriculum emphasizing competencies. And our study is based on the following two research question. 1. What is the relationship between core competencies and mathematical competencies? 2. What is the distribution of competencies of tasks for mathematical competencies presented in the textbooks? 3. How does the tasks for mathematical competencies reflect the meaning of the mathematical competencies? For this study, the tasks, marked mathematical competencies, were analyzed by elements of each mathematical competencies based on those concept proposed by basic research for the development of the latest mathematics curriculum. The implications of the study are as follows. First, it is necessary to make efforts to strengthen the connection with core competencies while making the most of characteristics of subject(mathematics). Second, it needs to refine the textbook authorization standards, and it should be utilized as an opportunity to improve the textbook. Third, in order to realize competencies-centered education in the school, there should be development of teaching and learning materials that can be used directly.

• Journal of the Korea Convergence Society
• /
• v.11 no.12
• /
• pp.23-30
• /
• 2020

In this study, the relationship between natural gas (NG) data and gas-related environmental elements was performed using machine learning algorithms to predict the level of gas leakage risk without directly measuring gas leakage data. The study was based on open data provided by the server using the IoT-based remote control Picarro gas sensor specification. The naturel gas leaks into the air, it is a big problem for air pollution, environment and the health. The proposed method is multivariate outlier removing method based Random Forest (RF) classification for predicting risk of NG leak. After, unsupervised k-means clustering, the experimental dataset has done imbalanced data. Therefore, we focusing our proposed models can predict medium and high risk so best. In this case, we compared the receiver operating characteristic (ROC) curve, accuracy, area under the ROC curve (AUC), and mean standard error (MSE) for each classification model. As a result of our experiments, the evaluation measurements include accuracy, area under the ROC curve (AUC), and MSE; 99.71%, 99.57%, and 0.0016 for MOL_RF respectively.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.7
• /
• pp.827-833
• /
• 2020

In this paper, to reduce the unpaid rate of local governments, the internal data elements affecting the arrears in Water-INFOS are searched through interviews with meter readers in certain local governments. Candidate data affecting arrears from national statistical data were derived. The influence of the independent variable on the dependent variable was sampled by examining the disorder of the dependent variable in the data set called information gain. We also evaluated the higher prediction rates of decision tree and logistic regression using n-fold cross-validation. The results confirmed that the decision tree can find more accurate customer payment patterns than logistic regression. In the process of developing an analysis algorithm model using machine learning, the optimal values of two environmental variables, the minimum number of data and the maximum purity, which directly affect the complexity and accuracy of the decision tree, are derived to improve the accuracy of the algorithm.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.515-522
• /
• 2021

In this study, 186 remote graduate students from J University were surveyed and interviewed in-depth to see if their satisfaction varies depending on their gender, semester, and major, and the results were as follows. First, the gender satisfaction of remote graduate students was shown to be statistical significance differences between men and women in professors, offline activities, and class evaluations, all of which showed that men were significantly higher than women. Second, the satisfaction level of each semester of remote graduate students was shown to be significantly different in curriculum, LMS, lecture content quality, and offline activities, and tended to increase as the school year went up. Third, the satisfaction level of remote graduate students by major was found to have significant differences in other factors except LMS and class contents, with the highest educational administration. The results of this study are expected to be used as basic data to improve elements absolutely necessary for student-centered education, such as curriculum of remote graduate schools, establishment of learning platform (LMS), and development and production of lecture contents.

• Journal of Digital Convergence
• /
• v.18 no.12
• /
• pp.577-583
• /
• 2020

The learning and cognition of preschool children begins with the color of the object, and the game interface is the child's first impression of the game, so reasonable color design is needed. This article selects 10 educational mobile game for preschool children, extracts colors from the game interface and startup icons, and puts them into Photoshop to analyze the three elements of color hue, lightness, and saturation. Finally, three suggestions are put forward for the color design of game UI. 1.Choose a color similar to the actual color of the thing. 2. Choose warm colors according to your child's preferences. 3. When using contrasting colors, please reduce the brightness or purity of the colors. It is hoped that the research conclusions can provide reference materials for the color design of educational game UI for preschool children.

• Journal of the Korea Convergence Society
• /
• v.12 no.6
• /
• pp.119-125
• /
• 2021

In the elementary school period, since the developmental stage in the area of emotional regulation is immature, it is necessary to develop emotional regulation ability. In order to promote emotional regulation, this study provides an emotional regulation art class that utilizes the right brain function. Results were derived by analyzing through pre- and post-questions and post-interviews. As a result of the pre-post analysis, among the sub-elements of emotional regulation after class, 'Self-Emotion Recognition and Expression', 'Emotional Recognition and Consideration of Others', and 'Interpersonal Relationships' were statistically high. As a result of interview analysis, it was found that all students had a positive effect in the emotional regulation sub-item. As a result, they recognized and understood their emotions after class rather than before class, and had the effect of expressing emotions by purifying negative emotions into positive emotions. It is suggested that it is necessary to develop a program that applies various teaching and learning methods for emotional regulation art class in the future.