• Journal of information and communication convergence engineering
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• v.6 no.3
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• pp.279-284
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• 2008

We propose the iconic animation of the software requirement specifications by using the object and dynamic models of the object modeling technique(OMT) methodology. In order to produce the iconic animation, we use "graphical classes" and "icon transformations." In general, the graphical classes are defined for each class of the object diagram. The icon transformations which show the activities of the application are constructed by considering the meaning of the activities and are defined by either basic or compound icons. The icon transformations are added to the state diagrams to generate extended state diagrams. The animation system generates the header files and the code instantiating GUI from the object diagram having graphical classes. The system also generates "event methods" from the extended state diagrams. When the event methods are executed, the behavior of the events is animated by the icon transformations.

• Journal of information and communication convergence engineering
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• v.18 no.4
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• pp.239-244
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• 2020

This study analyzed the influencing factors of learning engagement and teaching presence in online programming practice classes. The subjects of this study were students enrolled in an industrial specialized high school, who practiced creating Arduino circuits and programming using a web-based virtual practice tool called Tinkercad. This research adopted a tool that can measure task value, learning flow, learning engagement, and teaching presence. Based on this analysis, learning flow had a mediating effect between task value and online learning engagement, as well as between task value and teaching presence. Increasing learning engagement in online classes requires sensitizing the learners about task value, using hands-on platforms available online, and expanding interaction with instructors to increase learning flow of students. Furthermore, using virtual hands-on tools in online programming classes is relevant in increasing learning engagement. Future research tasks include: confirming the effectiveness of online learning engagement and teaching presence through pre- and post-tests, and conducting research on various practical subjects.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.235-242
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• 2022

The purpose of this study is to propose an effective class of College English, one of the essential liberal arts subjects of S University, and to analyze the learning effect. This subject targets students with different majors in the first grade, and the learning goal is to improve their reading skills by analyzing students' English skills, especially sentences, as grammatical elements in everyday situations. This thesis examines how College English classes can be conducted in the form of convergence class in the COVID-19 era to induce students' learning motivation and create learning effects. The form of this convergence class is as follows. First, lecture videos, second, Webex real-time non-face-to-face classes, and third, face-to-face classes. In this study, the class procedure of the first class among the classes that were actually conducted during the semester was presented as an example. The researcher specifically surveyed the pre-class questionnaire and conducted the class by grasping the students' English skills and characteristics of the learners through the results. And after taking the course, the questionnaire was surveyed into 30 items and the results were analyzed. Specifically, the results of satisfaction with the composition of the lecture, satisfaction with the lecture video, satisfaction with the face-to-face class, interaction with students, and learning effects were analyzed. This class proposal is a learner-centered model in the form of convergence.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.71-79
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• 2024

This study developed a sound art programming course using pure data to foster computational thinking and convergence of art and technology in college students who are non-computer majors. This paper presents an example of operating a curriculum that designed and developed a sound art-centered music programming subject using Pure Data, derives educational outcomes and improvement measures for classes, and presents a creative convergence education program of technology and art. It has a purpose. For the study, we looked at examples of educational programs that combine art and technology, as well as pure data and sound art, and based on this, we designed and developed a sound art programming course for non-majors. The curriculum was operated based on the developed subjects, and the results showed increased interest in programming through art and technology convergence classes, active class participation through autonomous choice, creation of a new perspective on art, improvement of computational thinking skills, collaboration and communication. The educational effect of ability enhancement was confirmed. We expect that this study will be able to present a new perspective on the convergence education of art and technology, including artistic diversity and understanding of new media according to the development of media.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.42-46
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• 2022

To cultivate talented people with creative and convergent thinking skills to live in the era of the 4th industrial revolution, the national curriculum of Korea is gradually emphasizing convergence education and software education. To meet the demands of the times, this paper suggests subject-convergent teaching-learning materials for educating core principles of Support Vector Machines, especially targeting elementary learners. Based on analysis of the national curriculum, achievement standards of three subjects are integrated. After printable worksheets for traditional face-to-face classes had developed, they were transformed to online interactive worksheets for non-face-to-face classes. The teaching-learning materials are expected to promote the growth of the learners' academic motivation and knowledge.

• Journal of Applied and Pure Mathematics
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• v.6 no.3_4
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• pp.177-189
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• 2024

In this paper, we suggest and analyze new higher order classes of iterative methods for solving nonlinear equations by using variational iteration technique. We present several examples to illustrate the efficiency of the proposed methods. Comparison with other similar methods is also given. New methods can be considered as an alternative of the existing methods. This technique can be used to suggest a wide class of new iterative methods for solving nonlinear equations.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.138-147
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• 2021

This study aims to analyze the characteristics and preferences of learners who participated in college online classes for effective online learning. A total of 101 college students who participated in online classes completed the survey including personal characteristics of students and learning factors that affect online classes. The results showed that male students were more likely than female students to respond that online classes were more effective. Likewise students who learned from video recordings compared to those who learned from real-time lectures. As a result of analyzing the difficulties of online learning, there was a high probability that online learning was ineffective for students who had difficulties in self-learning and asking questions to their lecturers. Likewise, students who spent a lot of time studying online lectures, there was a high probability that online classes would be more effective for students who spent a lot of time on assignments. The results suggest that online learning is more effective for students who learn actively and self-directedly than those who passively participate in classes. This study implies that it is necessary to design online classes based on the characteristics and preferences of learners to improve the quality of education.

• Journal for History of Mathematics
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• v.27 no.1
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• pp.81-93
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• 2014

The $L^1$-convergence of Fourier series problems through additional assumptions for Fourier coefficients were presented by W. H. Young in 1913. We say that they are the classical results. Using modified trigonometric series is the convenience method to study the $L^1$-convergence of Fourier series problems. they are called the neoclassical results. This study concerns with the $L^1$-convergence of Fourier series. We introduce the classical and neoclassical results of $L^1$-convergence sequentially. In particular, we investigate $L^1$-convergence results focused on the results of Bhatia's studies. In conclusion, we present the research minor lineage of Bhatia's studies and compare the classes of $L^1$-convergence mutually.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.153-160
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• 2021

In recent universities, the new-normal era. There is a growing interest in nurturing creative thinking learners who have converged thinking necessary for the AI era based on big data. This study intends to propose the expansion of science liberal arts education necessary to meet the education needs of these universities. To this end, first the status of convergence education in universities and the elements necessary for the learners' creative ideas were examined. Second, learners who took a convergence lecture at a university will look at the development case of in which convergence thinking, creative thinking, and gaming are implemented. Based on this, we would like to propose an expanded organization and operation of science liberal arts education as a way to enhance the creative thinking of learners and their competencies through convergence classes at universities.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.17-23
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• 2022

Network slicing is a promising paradigm and significant evolution for adjusting the heterogeneous services based on different requirements by placing dynamic virtual network functions (VNF) forwarding graph (VNFFG) and orchestrating service function chaining (SFC) based on criticalities of Quality of Service (QoS) classes. In system architecture, software-defined networks (SDN), network functions virtualization (NFV), and edge computing are used to provide resourceful data view, configurable virtual resources, and control interfaces for developing the modified deep reinforcement learning agent (MDRL-A). In this paper, task requests, tolerable delays, and required resources are differentiated for input state observations to identify the non-critical/critical classes, since each user equipment can execute different QoS application services. We design intelligent slicing for handing the cross-domain resource with MDRL-A in solving network problems and eliminating resource usage. The agent interacts with controllers and orchestrators to manage the flow rule installation and physical resource allocation in NFV infrastructure (NFVI) with the proposed formulation of completion time and criticality criteria. Simulation is conducted in SDN/NFV environment and capturing the QoS performances between conventional and MDRL-A approaches.