• International Journal of Internet, Broadcasting and Communication
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• v.4 no.2
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• pp.12-16
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• 2012

This paper presents a learning framework that fits the digital age - an e-Friendly PLE. The learning framework is based on the theory of connectivism which asserts that knowledge and the learning of knowledge is distributive and is not located in any given place but rather consists of the network of connections formed from experiences and interactions with a knowing community, thus, the newly empowered learner is thinking and interacting in new ways. The framework's approach to learning is based on conversation and interaction, on sharing, creation and participation, on learning not as a separate activity, but rather as embedded in meaningful activities such as games or workflows. It sees learning as an active, personal inquiry, interpretation, and construction of meaning from prior knowledge and experience with one's actual environment.

• Journal of Multimedia Information System
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• v.7 no.1
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• pp.1-10
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• 2020

The image analysis is an important and predominant task for classifying the different parts of the image. The analysis of complex image analysis like histopathological define a crucial factor in oncology due to its ability to help pathologists for interpretation of images and therefore various feature extraction techniques have been evolved from time to time for such analysis. Although deep reinforcement learning is a new and emerging technique but very less effort has been made to compare the deep learning and deep reinforcement learning for image analysis. The paper highlights how both techniques differ in feature extraction from complex images and discusses the potential pros and cons. The use of Convolution Neural Network (CNN) in image segmentation, detection and diagnosis of tumour, feature extraction is important but there are several challenges that need to be overcome before Deep Learning can be applied to digital pathology. The one being is the availability of sufficient training examples for medical image datasets, feature extraction from whole area of the image, ground truth localized annotations, adversarial effects of input representations and extremely large size of the digital pathological slides (in gigabytes).Even though formulating Histopathological Image Analysis (HIA) as Multi Instance Learning (MIL) problem is a remarkable step where histopathological image is divided into high resolution patches to make predictions for the patch and then combining them for overall slide predictions but it suffers from loss of contextual and spatial information. In such cases the deep reinforcement learning techniques can be used to learn feature from the limited data without losing contextual and spatial information.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1167-1174
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• 2022

With the sustainable development and transformation of the city, public art as a business card of the famous city of culture has become a hot topic of research. The intervention of public art in public space not only brings users a sense of space experience, but also becomes a unique carrier of urban and rural image making. Although there is much research on the classification, aesthetics and function of public art, there is few quantitative research on user satisfaction. This paper takes the basic features of airport public art as a research object and the basic features of airport public art as the theoretical basis to study the impact of the basic characteristics of airport public art on user satisfaction. Research methods were based on questionnaire data of 247 people, in which models and hypotheses were tested using SPSS 21.0 software, based on the induction and extraction of nine influential factors in the basic characteristics of public art. The study found that public interpretation, media patterns, color perception, modeling form, place perception, city image and memory have significant positive effects on user satisfaction. The sharedness of public art, cognition and communication in public culture and spatial relations do not affect satisfaction. Conclusion, inspiration and prospect provide suggestions for designers and reference data and theoretical support for public art evaluation.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.3-10
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• 2010

Game design as an academic discipline is still in the early developing stages and the lack of fundamental study has seen game designers cloning other games with only superficial changes added to them. Game market today is going through unprecedented expansion with games for more diverse users and variety of game styles. Such trend owes to the fact that formal structures of the game can be manipulated to formulate creative and experimental forms. This paper will focus on the 'boundary' element of the game that could broaden the perspective of the game into different possibilities with emerging mobile technologies, public design's new interpretation of urban spaces and integrating interactive technologies in different phases of art.

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.109-122
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• 2004

It is the emergence of multimedia based on information revolution that foretells and develops the largest change in the transfiguration of a modern design. In this paper, the basic principle and characteristics of a new design model is compared and analyzed, and the change of communication based on information form in order to examine the concept and characteristics of digital as today's new media in detail is considered in an changed environment. And also a new theoretical ground is derived about ‘virtual reality’ and ‘interaction’ which is the important characteristics of a digital media so as to compare the property of digital with that of analogue, analyze them and specify the concept and characteristics of digital. Thus the validity of this study is proved by a new interpretation methode of ‘spatiotemporal structure’ on the digital design on the basis of the above mentioned things

• Proceedings of the Korean Geotechical Society Conference
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• 2002.03a
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• pp.445-452
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• 2002

In the field of civil and geotechnical engineering, students conduct a variety of soil tests to fulfill undergraduate soil mechanics course requirement. There is a range of problems in soil laboratory instruction, such as, some students not getting hands on experience of conducting tests because of inadequate number of apparatus, time constraints and inability in exciting students to seriously conduit the experiments, However when these laboratory soil tests are simulated with multimedia interaction ann visualization techniques, the students conceptual understanding of soil mechanics is enhanced. The simulation program for website teaching is a computer based instructional package intended to complement, and potentially replace, some physical testing in a real soil laboratory. The overall aim of this project is to develop an experimental simulation program toward active learning and development of critical thinking skills, including data interpretation, understanding of the precesses and influential factors, and problem solving. Therefore enable students to access website to team experimental procedure at any time or place.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.722-729
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• 2010

Prediction problems are widely used in medical domains. For example, computer aided diagnosis or prognosis is a key component in a CDSS (Clinical Decision Support System). SVMs with nonlinear kernels like RBF kernels, have shown superior accuracy in prediction problems. However, they are not preferred by physicians for medical prediction problems because nonlinear SVMs are difficult to visualize, thus it is hard to provide intuitive interpretation of prediction results to physicians. Nomogram was proposed to visualize SVM classification models. However, it cannot visualize nonlinear SVM models. Localized Radial Basis Function (LRBF) was proposed which shows comparable accuracy as the RBF kernel while the LRBF kernel is easier to interpret since it can be linearly decomposed. This paper presents a new tool named VRIFA, which integrates the nomogram and LRBF kernel to provide users with an interactive visualization of nonlinear SVM models, VRIFA visualizes the internal structure of nonlinear SVM models showing the effect of each feature, the magnitude of the effect, and the change at the prediction output. VRIFA also performs nomogram-based feature selection while training a model in order to remove noise or redundant features and improve the prediction accuracy. The area under the ROC curve (AUC) can be used to evaluate the prediction result when the data set is highly imbalanced. The tool can be used by biomedical researchers for computer-aided diagnosis and risk factor analysis for diseases.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.648-658
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• 2020

In essence, Musical theatre is a multimedia show, so when you listen to musical numbers, you will experience it through multiple senses. Therefore, in order to analyze musical numbers, emphasis should be placed on its interaction with various media such as lyrics, dance, and theatre, which have a direct association with the music. Through the Conceptual Blending Theory, which can comprehensively consider the combination of text and music, the combination of movement and music, and the combination of visual elements and music, this study analyzes the music of Musical . By exploring the result of interaction between lyrics and music, the interaction between choreography and music, and the interaction between stage and music, the artistry and intrinsic value of the work can be proved. In addition, we can discover the process and system of integrated interpretation through music analysis applying Conceptual Blending Theory. Therefore, Conceptual Blending Theory has sufficient utility as a methodology for music analysis of musical theatre.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.7
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• pp.321-328
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• 2016

This study seeks the applicable value for contemporary multiculturalism based on the women (Hagar, Tamar, Rahab, Ruth, A great woman who lives in Shunem, A nameless servant girl) of the Old Testament who experienced migration. The article critiques uses of scripture that emphasize the roles of the women in the household. It provides a new interpretation through the perspective of feminist criticism, narrative criticism, and reader-response criticism. The article introduces the examples of six migrant women who created peace with people around them through their positive roles despite the fact that women had limited function under patriarchal society at that time. It suggests, while recognizing the difference regarding race, gender, and class between migrants and non-migrants, women and men, that they should not be used as the tools of discrimination. Furthermore, through these women from the Bible, the reader may find role models of independent women who are working for peace and social justice.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.5
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• pp.45-53
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• 2017

Until now, Academic disciplines were categorized according to the standards of the National Research Foundation of Korea, and this categorization has contributed to the development of each disciplines. However, as time goes by, there is a need for a transition to the new trends, convergence. Therefore, to suggest the resolution for pre-existing phenomenon and problems, this study explored the concept and traits of narrative science as a convergence discipline and discussed its implications and tasks. Narrative Science is a human science, based on narrative epistemology, and it focuses on human's interpretation, communication, and inter-subjectivity. Narrative Science has many inner structures per trait, and it provides pre-existing disciplines with narrativistic inter-relation. It also pays attention to human's inner areas. For the development of Narrative Science in the future, it should be free from a misunderstanding as a narratology discipline or a methodology of qualitative research. Under this change, Narrative Science discipline areas should be fused in the perspective of human science, based on narrative philosophy and psychology.