• Journal of Technology Innovation
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• v.28 no.4
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• pp.151-163
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• 2020

The routinized tasks in the post-COVID era are to be replaced by digital technologies, while there is a high possibility that digital transformation technologies and non-routinized tasks have strong complementarity. In particular, looking at the job composition within Korea's industries, the intensities of routinized works appear to be continuously rising. It suggests that the potential side effects on the labor market caused by the acceleration of digital transformation in the post-COVID era will be greater within Korean innovation system. With this background, this study aims to provide a conceptual framework for dealing with potential crises such as, job polarization and widening gaps between workers in terms of economic earnings, based on an in-depth understanding of the inherent properties of digital transformation that will lead to structural changes in our economic and social system. In particular, focusing on the interaction between digital transformation technology and learning in the post-COVID era, this study attempts to redefine the role of the innovation policy for making a successful transition to a new equilibrium state. In addition, this study examines the institutional conditions of the Korean innovation system which affect the creative learning activities of economic actors to draw policy implications for establishing future-oriented innovation policy. Based on these approaches, this study highlights the importance of coevolution between the skills demand and skills supply to spur inclusiveness of Korean innovation system in the post-COVID era.

• The Mathematical Education
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• v.61 no.4
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• pp.521-537
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• 2022

The unprecedented COVID-19 pandemic has disrupted, interrupted, and changed the way we normally prepare our teacher candidates in teacher preparation programs. In this paper, we, two mathematics teacher educators (MTEs), reflect our own experiences in appropriating, transforming, reconstructing, and modifying our pedagogies of teacher education in making a transition from face-to-face to online environment during the COVID-19 pandemic. Using a collaborative self-study, we discussed issues, challenges, changes, opportunities, and innovations of teaching an elementary mathematics methods course in the online environment. Using a constant comparison method, we explored the following three themes: (1) using virtual manipulatives; (2) creating collaborative, interactive, and shared learning experiences for preservice teachers; and (3) making preservice teachers engaged in student thinking. These findings indicated that online teaching requires transformative knowledge for teacher educators. Transferring face-to-face to online is not a simple matter of putting the existing content to online; it should focus on pedagogical improvement in teaching mathematics rather than technology's sake or how it can be repurposed in a new online environment in a way that students' learning is optimized. The findings of this study provide implications for unpacking MTEs' technological pedagogical content knowledge (TPACK), creating collaborative learning experiences for preservice teachers, and designing a collaborative self-study between MTEs engaged in the community of professional learning.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.1
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• pp.160-169
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• 2015

The purpose of this study was to search and analyze the realities and needs of life long education, the necessity and perception of life competencies and the difference of competencies on experiences of education to support life long education system for adult learners in Busan and Ulsan. In this study, we conducted a questionnaire survey of 234 adult learners living in Busan and Ulsan. The results of this study were summarized as follows. First, adult learners perceived that life long education was very important to adults and appreciated an educational institution being managed by government. Second, adult learners thought that basic literacy competency and basic work competency were important and late fifties perceived that professional job is in important. Third, adult learners perceived that self directed learning and capacity of management are poor competencies. And they perceived that the government support adult learners who has economical difficulty. Forth, adult learners perceived that it was normal that 'professional job' and 'job transition abilities', 'women', 'the middle aged and old','the unemployed' and' low incomers' perceived that they have poor level. Fifth, according to the results of ${\chi}^2$ test for determining the statistical significance of differences in experience in lifelong learning among adult learner groups divided by their individual background, significant differences were observed in a few competencies(p<.05, p<.01).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2C
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• pp.162-171
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• 2003

It is difficult to reuse the captured motion data, because the data has a difficulty in editing it. In this paper, a uniform posture mar (UPM) algorithm, one of unsupervised learning neural network is proposed to edit the captured motion data. Because it needs much less computational cost than other motion editing algorithms, it is adequate to apply in teal-time applications. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. Above of all, it complements the weakness of the existing algorithm where the calculation quantity increases in proportion to increase the number of restricted condition to solve the problems of high order articulated body. In this paper, it is shown two applications as a visible the application instance of UPM algorithm. One is a motion transition editing system, the other is a inductive inverse kinematics system. This method could be applied to produce 3D character animation based on key frame method, 3D game, and virtual reality, etc.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.611-618
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• 2003

In this paper, we describe a fuzzy inference approach for detecting and classifying shot transitions in video sequences. Our approach basically extends FAM (Fuzzy Associative Memory) to detect and classify shot transitions, including cuts, fades and dissolves. We consider a set of feature values that characterize differences between two consecutive frames as input fuzzy sets, and the types of shot transitions as output fuzzy sets. The inference system proposed in this paper is mainly composed of a learning phase and an inferring phase. In the learning phase, the system initializes its basic structure by determining fuzzy membership functions and constructs fuzzy rules. In the inferring phase, the system conducts actual inference using the constructed fuzzy rules. In order to verify the performance of the proposed shot transition detection method experiments have been carried out with a video database that includes news, movies, advertisements, documentaries and music videos.

• Journal of Life Science
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• v.19 no.6
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• pp.756-764
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• 2009

Scutellariae baicalensis GEORGt Acorus gramineus SOLAND and Gastrodia elata BLUME are traditional medicines used in the treatment of incipient stoke. In this study we investigated their effects on various aspects of neuronal differentiation in single or composite forms. Water-extracts of these medicines showed neuroprotective effects on cultured rat cortical neurons in normoxia and hypoxia. To understand the mechanism for neuroprotection we carried out various cell biological assays. They stimulated initial differentiation of neuronal development (transition from stage 1 to 2), and increased the number of spines and the length and number of dendritic processes. These effects were best manifested in the experimental group, which were given a mixture of the three kinds of extracts (p<0.01). To assess improvement of brain functions we carried out Morris water-maze tests for the mice that were fed on these extracts instead of water for 4 weeks. The experimental groups, especially those which were given the mixture of the three kinds of extract, showed significant (p<0.01) enhancement in memory as early as one day after the learning trial. These results indicate that these three kinds of extracts have synergistic effects on neuronal protection and improvement of brain functions.

• Journal of Educational Research in Mathematics
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• v.25 no.1
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• pp.1-19
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• 2015

This paper aims to explore what we can improve in the curriculum, teaching-learning, and evaluation on the bases of the analyses of multiple-choice items set in National Assessment of Educational Achievement. For this goal, by using the distribution curves of the responses percentages, we will grasp the features of educational achievement which appear to students through an in-depth analysis about not only item itself but also the contents included in particular distracters. These analyses provide more information than the descriptive statistical values such as the mean of correct answer percentage and the discrimination of whole group and the mean of responses percentages of replies of subgroups. Because the distribution curves of the responses percentages reveal the transition from the lowest to the highest educational achievement very well. From these analyses we acquire the implications about the concept of prime factor or prime factorization, ratio(proportion) such as velocity, linear function, volume of cone, properties of solid figure, and probabilities of empty event and total event.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.235-243
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• 2008

This research show how Shin Han-Seong make up Taekkyeon to register to intangible cultural assets, and found next conclusion and meaning. First, skill organization of Song Duk-Ki Taekkeon that is only one modem Taekkeon's initiator have been transmitted for a piece of skills of playing figure which don't have regular system. But Taekkyeon which have regular system have been developed by Shin Han-Seong, finally Taekkyeon is approved to intangible cultural assets. Second, Shin Han-Seong modernized Taekkyeon by borrowing training system of Judo, Fencing, Hapgido, Taekwondo, Karate. But people criticize that Song Duk-Ki Taekkeon is not initiate with original thing. Third, Shin Han-Seong made the grade classification and practical technique screening, Bon-Dae Buigi Twelve part like Pomse of Taekwondo (there is no for traditional Taekkyeon). And he contributed to popularization and modernized learning system by pursuiting sportization. Through this research geared up Taekkyeon's original shape and generational outline about skill transition or composition. And it gave important data for understand about Taekkyeon controversy which scattered.

• The Journal of Information Systems
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• v.29 no.2
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• pp.27-50
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• 2020

Purpose The research on the effective use of IS needs to embrace the alignment to organization learning process, which expands the limited focus on dynamic capability of IS use. In addition, it should be done in multi-level analysis with system, user, task, and organization. The current study suggests the inclusion of multi-level analysis of effective use of IS in the perspective of exploration and exploitation. Design/methodology/approach This review selected the representative studies in IS discipline which have investigated the effective use of IS, dynamic capability, operational capability, exploration, exploitation, or organizational learning. In the search of academic archives with those keywords, seventeen papers which have been most cited were chosen and validated whether the focus constructs are directly theorized or validated the suggested keywords. In addition, the level of analysis was verified whether it includes one or more levels of system, individual, task, or organization. Based on the initial analysis of dynamic capability, the further review of research on explorational and exploitational capabilities was implemented. Findings The present review study on previous literature on effective use of IS presented that it is largely implemented in the level of individual but few of them has included organization level. Similarly, the direct investigation of explorational and exploitational use of IS has not been done so much. The needs of study on effective use of IS in depth have been inquired for a decade. However, the review presented that it still lacks profound theories and empirical validations compared to those of adoption stage of IS. Based on the review, future research on the transition between explorational and exploitational use of IS is suggested.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.21-29
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• 2020

The Topic Modeling research, the methodology for deduction keyword within literature, has become active with the explosion of data from digital society transition. The research objective is to investigate research trends in D.N.A.(Data, Network, Artificial Intelligence) field using DTM(Dynamic Topic Model). DTM model was applied to the 1,519 of research projects with SW·A.I technology classifications among ICT(Information and Communication Technology) field projects between 6 years(2015~2020). As a result, technology keyword for D.N.A. field; Big data, Cloud, Artificial Intelligence, extended keyword; Unstructured, Edge Computing, Learning, Recognition was appeared every year, and accordingly that the above technology is being researched inclusively from other projects can be inferred. Finally, it is expected that the result from this paper become useful for future policy·R&D planning and corporation's technology·marketing strategy.