• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.6
• /
• pp.834-841
• /
• 2022

Recently, applying artificial intelligence technologies in various fields of production has drawn an upsurge of research interest due to the increase for smart factory and artificial intelligence technologies. A great deal of effort is being made to introduce artificial intelligence algorithms into the defect detection task. Particularly, detection of defects on the surface of metal has a higher level of research interest compared to other materials (wood, plastics, fibers, etc.). In this paper, we compare and analyze the speed and performance of defect classification by combining machine learning techniques (Support Vector Machine, Softmax Regression, Decision Tree) with dimensionality reduction algorithms (Principal Component Analysis, AutoEncoders) and two convolutional neural networks (proposed method, ResNet). To validate and compare the performance and speed of the algorithms, we have adopted two datasets ((i) public dataset, (ii) actual dataset), and on the basis of the results, the most efficient algorithm is determined.

• International Journal of Computer Science & Network Security
• /
• v.22 no.1
• /
• pp.113-120
• /
• 2022

Information technologies in higher education are the basis for solving the tasks set by monitoring the quality of higher education. The directions of aplying information technologies which are used the most nowadays have been listed. The issues that should be addressed by monitoring the quality of higher education with the use of information technology have been listed. The functional basis for building a monitoring system is the cyclical stages: Observation; Orientation; Decision; Action. The monitoring system's considered cyclicity ensures that the concept of independent functioning of the monitoring system's subsystems is implemented.. It also ensures real-time task execution and information availability for all levels of the system's hierarchy of vertical and horizontal links, with the ability to restrict access. The educational branch uses information and computer technologies to monitor research results, which are realized in: scientific, reference, and educational output; electronic resources; state standards of education; analytical materials; materials for state reports; expert inferences on current issues of education and science; normative legal documents; state and sectoral programs; conference recommendations; informational, bibliographic, abstract, review publications; digests. The quality of Ukrainian scientists' scientific work is measured using a variety of bibliographic markers. The most common is the citation index. In order to carry out high-quality systematization of information and computer monitoring technologies, the classification has been carried out on the basis of certain features: (processual support for implementation by publishing, distributing and using the results of research work). The advantages and disadvantages of using web-based resources and services as information technology tools have been discussed. A set of indicators disclosed in the article evaluates the effectiveness of any means or method of observation and control over the object of monitoring. The use of information technology for monitoring and evaluating higher education is feasible and widespread in Ukrainian education, and it encourages the adoption of e-learning. The functional elements that stand out in the information-analytical monitoring system have been disclosed.

• Journal of Korean Elementary Science Education
• /
• v.40 no.4
• /
• pp.520-544
• /
• 2021

This study aims to develop a scientific creativity test for exploring the relationship between elementary students' creative process and product. For this, the researcher reviewed the literatures of scientific creativity and developed the items based on the constructs of creative process and product. After a review conducted by nine science education specialists, a pilot test, and additional revision and supplementation of observation test, the test, consisting of two sets-"animals" and "plants"-was finally conducted on 105 fifth-grade students. The test results were analyzed by using statistical analysis software. WinSteps, SPSS, and AMOS. The main findings from this study are as follows. First, when it comes to scientific creativity, creative process consists of science knowledge, inquiry skills, and creative thinking skills (divergent, convergent, and associative thinking skills). Creative product in science is a new and scientifically useful idea realized in a certain form. Second, observation, which was selected as a representative inquiry skill in this research, should not be related to creative thinking skills. Third, among the rest of the items, usefulness had the lowest averages, as it was, perhaps, difficult to satisfy the teachers' criteria for the scientific validity and usefulness. Fourth, the Spearman correlation coefficients between the items of "animals" and "plants" to find out the parallel-form reliability were significant, except for the item of originality. Fifth, the test was satisfactory with regard to the three aspects of construct validity-convergent, discriminant, and nomological. This study concludes by discussing the usefulness of this test, which has the possibility of exploring the relationship between creative process and product and of playing a role as an authentic evaluation tool in school.

• Journal of Christian Education in Korea
• /
• v.71
• /
• pp.23-59
• /
• 2022

This paper explored the effect of digital epistemology on Christian education. The media of an era determines the type and form of the epistemology of that era, which in turn has a decisive influence on the direction of Christian education in that era. Therefore, it consists of three parts. First, an investigation on the relationship between media and epistemology, second, an investigation on digital epistemology, and third, an investigation on the effect of digital epistemology on Christian education. In this paper, first, from the perspective of McLuhan's media theory, it was discovered that media go beyond simply expanding the our senses and change our perception through creating a new environment and way of life. This paper could characterize digital epistemology in the following four ways through comparison with the traditional epistemology of the print media era: namely "from linguistic to omnisensory epistemology", "from causality to relational epistemology", "from historical to post-historical thinking", and "from interpretive to performative epistemology". In addition, it examined the effects of that digital epistemology on Christian education. Through this study, it found that digital media can act both positively and negatively on the essence of Christian education. Therefore, the task of Christian education in the digital age is to make it a positive function rather than a dysfunctional one, and an opportunity rather than a challenge.

• Journal of Dental Anesthesia and Pain Medicine
• /
• v.21 no.4
• /
• pp.283-309
• /
• 2021

Achieving profound anesthesia in mandibular molars with irreversible pulpitis is a tedious task. This review aimed at evaluating the success of buccal/lingual infiltrations administered with a primary inferior alveolar nerve block (IANB) injection or as a supplemental injection after the failure of the primary injection in symptomatic and asymptomatic patients with irreversible pulpitis in human mandibular molars. The review question was "What will be the success of primary and supplemental infiltration injection in the endodontic treatment of patients with irreversible pulpitis in human mandibular molars?" We searched electronic databases, including Pubmed, Scopus, and Ebsco host and we did a comprehensive manual search. The review protocol was framed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist. We included clinical studies that evaluated and compared the anesthetic outcomes of primary IANB with primary and/or supplementary infiltration injections. Standard evaluation of the included studies was performed and suitable data and inferences were assessed. Twenty-six studies were included, of which 13 were selected for the meta-analysis. In the forest plot representation of the studies evaluating infiltrations, the combined risk ratio (RR) was 1.88 (95% CI: 1.49, 2.37), in favor of the secondary infiltrations with a statistical heterogeneity of 77%. The forest plot analysis for studies comparing primary IANB + infiltration versus primary IANB alone showed a low heterogeneity (0%). The included studies had similar RRs and the combined RR was 1.84 (95% CI: 1.44, 2.34). These findings suggest that supplemental infiltrations given along with a primary IANB provide a better success rate. L'Abbe plots were generated to measure the statistical heterogeneity among the studies. Trial sequential analysis suggested that the number of patients included in the analysis was adequate. Based on the qualitative and quantitative analyses, we concluded that the infiltration technique, either as a primary injection or as a supplementary injection, given after the failure of primary IANB, increases the overall anesthetic efficacy.

• PNF and Movement
• /
• v.19 no.1
• /
• pp.115-125
• /
• 2021

Purpose: This study aimed to investigate basic data on the recognition of rehabilitation robots and self-efficacy through general characteristics of students in the department of physical therapy. Methods: This study surveyed 100 students in the Department of Physical Therapy at E University in Seongnam using Google Form, an online survey tool. The questionnaire consisted of 64 questions including 15 questions on general characteristics, 13 questions regarding recognition of rehabilitative robots, and 36 questions about self-efficacy. General self-efficacy consisted of three sub-factors: confidence, self-regulation efficacy, and task difficulty preference. Results: The recognition of rehabilitative robots according to general characteristics showed significant differences in age, level of education, and experience in searching rehabilitative robots; according to general characteristics, self-efficacy showed significant differences dependent on age and gender (p < 0.05). In addition, recognition of rehabilitation robots for students in the Department of Physical Therapy was found to have a significant effect on robot use self-efficacy (p < 0.05). Conclusion: There were significant differences in the scores of rehabilitation robot recognition and self-efficacy according to the general characteristics of students in the Department of Physical Therapy. For such reasons, it is important for students to have an opportunity to get educated on rehabilitation robots; in order to achieve this goal, domestic studies on rehabilitation robots must be actively conducted. The technological development of rehabilitation robots and the establishment of a system for domestic rehabilitation robots from both social and legal standpoints were found to be necessary based on a volume of domestic research.

• Journal of Digital Convergence
• /
• v.19 no.8
• /
• pp.11-20
• /
• 2021

Due to the Covid-19 Pandemic, the world is facing the most serious crisis since the Great Depression, and is facing a new paradigm of the Untact era. Korea has also announced various policies and legal systems, including the 'Korean version of the New Deal', but it is conflicting between the use of information and the protection of information. In this paper, we derive thresholds by analyzing policies, statutes and technologies in the public cloud. Based on this, we propose to introduce the "Building a Nationwide Public Virtual Machine" as a key task to secure the next-generation national growth engine so that all citizens can use digital services in a secure and reliable environment with equal access to information. Through this, all citizens can use various digital new technology services only with low-priced and low-specification terminals, and by establishing a dedicated center for information protection, we want to respond to rapidly increasing security threats. It also points out that the domestic cloud-related legal system only emphasizes the use of information while overlooking the importance of security, and suggests the right direction for the legal system to move forward.

• Journal of Korea Entertainment Industry Association
• /
• v.15 no.8
• /
• pp.247-254
• /
• 2021

The purpose of this study is to investigate the effects of action learning on the satisfaction of majors by cultivating task-solving ability through self-reflection in the form of team learning for a certain period of time in the form of team learning by using action learning for students taking convergence curriculum in universities. The subjects of the study were 40 students from the Department of Sports Rehabilitation, a convergence of the Department of Sports and Health Management and the Department of Physical Therapy located in Jeollanam-do. This was conducted to confirm the difference in the effect of satisfaction. Comparison of changes in groups of experimental groups with action learning teaching methods showed significant differences in self-directed learning skills, problem-solving skills, and major satisfaction(p<.001)(p<.05). A significant difference in self-directed learning ability, problem-solving ability, and major satisfaction was also shown in the comparison of changes in control groups that applied traditional teaching methods(p<.05). Comparison of changes between groups showed significant differences in self-directed learning skills, problem-solving skills and major satisfaction(p<.05). Applying the action learning teaching method to the level of students in the convergence course will improve self-directed learning skills, problem-solving skills, and major satisfaction, and further research will be needed to expand the target and add variables to combine qualitative research.

• The Journal of the Korea Contents Association
• /
• v.21 no.11
• /
• pp.135-144
• /
• 2021

Recently, data-driven decision-making technology has become a key technology leading the data industry, and machine learning technology for this requires high-quality training datasets. However, real-world data contains missing values for various reasons, which degrades the performance of prediction models learned from the poor training data. Therefore, in order to build a high-performance model from real-world datasets, many studies on automatically imputing missing values in initial training data have been actively conducted. Many of conventional machine learning-based imputation techniques for handling missing data involve very time-consuming and cumbersome work because they are applied only to numeric type of columns or create individual predictive models for each columns. Therefore, this paper proposes a new data imputation technique called 'Denoising Self-Attention Network (DSAN)', which can be applied to mixed-type dataset containing both numerical and categorical columns. DSAN can learn robust feature expression vectors by combining self-attention and denoising techniques, and can automatically interpolate multiple missing variables in parallel through multi-task learning. To verify the validity of the proposed technique, data imputation experiments has been performed after arbitrarily generating missing values for several mixed-type training data. Then we show the validity of the proposed technique by comparing the performance of the binary classification models trained on imputed data together with the errors between the original and imputed values.

• Journal of Korean Elementary Science Education
• /
• v.41 no.1
• /
• pp.65-78
• /
• 2022

This study aims to 1) verify the validity of the Science self-efficacy scale and 2) perform a latent mean analysis of the background variables about a pre-service teacher. The study uses pre-tests to analyze data from 187 pre-service teachers, which uses Tark's Science self-efficacy scale (2011). To identify the factor structure, exploratory factor analysis was performed. Based on the results of the pilot test, the expert group council revised the scale for the pre-service teachers to respond to the 3-factor structure. In the main test, 354 data were analyzed through a modified Science self-efficacy scale, and exploratory and confirmatory factor analyses were performed. The results of the study are as follows: First, in the pilot test, the pre-service teacher responded to a 3-factor instrument, but the validity of two items was examined further below. Second, the pre-service teachers responded to a 3-factor instrument on 29 items for the modified Science self-efficacy scale. The total reliability of the instrument was .886 and the reliability of each factor was analyzed as .882-.886. Finally, the latent mean analysis by gender showed that females have a higher self-regulation efficacy factor and males have a higher self-confidence factor (Cohen's d > .3). Furthermore, there is a significant difference in task difficulty preference and self-regulatory efficacy factor (Cohen's d > .8) between the college preparatory and science subject preference. This study provides important insights into and contributions to the accurate scientific self-efficacy diagnosis of pre-service teachers, as well as proposes a curriculum to improve the scientific self-efficacy of prospective teachers.