• Annual Conference of KIPS
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• 2015.10a
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• pp.1337-1340
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• 2015

분광 군집화 기술은 Non-convex 군집에 대해 타 군집화 기술에 비해 강건하여 다양한 분야에서 활용되고 있다. 본 논문에서는 다중 뷰 데이터의 특성을 반영한 새로운 분광 군집화 기술을 제안한다. 제안한 방법은 협업학습의 접근 방법을 적용하되, 다수의 뷰가 서로 간에 가지는 독립성의 정도를 반영하여 유사도 그래프를 구축하고, 구축된 그래프를 기반으로 분광 군집화를 수행한다. 이를 통해 뷰들간 서로 다른 정보 요구를 그래프에 반영함으로써 군집화 성능을 높인다. 세 개의 뷰를 가정한 가상의 데이터에서 제안한 방법은 기존 방법에 비해 최대 8.25%, 높은 성능을 보였다.

• Review of Korea Contents Association
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• v.7 no.4
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• pp.19-22
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• 2009

• Smart Media Journal
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• v.9 no.3
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• pp.59-70
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• 2020

This paper presents a fully automatic tool to recognize the liver region from CT images based on a deep learning model, namely Multiple Filter U-net, MFUnet. The advantages of both U-net and Multiple Filters were utilized to construct an autoencoder model, called MFUnet for segmenting the liver region from computed tomograph. The MFUnet architecture includes the autoencoding model which is used for regenerating the liver region, the backbone model for extracting features which is trained on ImageNet, and the predicting model used for liver segmentation. The LiTS dataset and Chaos dataset were used for the evaluation of our research. This result shows that the integration of Multiple Filter to U-net improves the performance of liver segmentation and it opens up many research directions in medical imaging processing field.

• Smart Media Journal
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• v.11 no.2
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• pp.39-52
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• 2022

In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.135-146
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• 2019

This study was designed to analyze trends in the entire convergence research beyond academic research through social media big data analysis at a time when interdisciplinary convergence research is emphasized along with the fourth industrial revolution. For this purpose, about 150,000 cases of texts and titles were acquired for about 10 years from January 2009 to September 2018 in connection with the convergence research in social media, and word cloud and network analysis were conducted. As a results, the research fields that were actively conducted for each period were eco-tech in 2009 and 2010, smart technology in 2011 and 2012, information and communication in 2013 and 2014, robots in 2015 and 2016, and artificial intelligence in 2017 and 2018. Also, the research areas that have been consistently conducted for about 10 years are culture, design, chemistry, nanotechnology, biotechnology, robot, IT, and information and communication. Since this study identifies trends in convergence research over time, it can be helpful to researchers who are planning convergence research direction by understanding the trends of convergence research.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.71-82
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• 2019

Today's media environment is becoming very complicated and the trend of media convergence is getting clearer. The convergence of media is the supreme hot issue. In this wave of convergence, there has also been a huge change between movies and electronic games. The remake boom between them showed a tremendous economic effect that can be achieved by exchanging two media of essentially different characteristics. As computer virtual reality technologies evolve, electronic games will provide a virtual world that can satisfy the demands of the visual, auditory, and tactile aspects very real to the public with the Internet. At that time, movies and other media will be thoroughly melted into the virtual world created by electronic games, and they will become an element of the virtual world as those media that exist in the truth world.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.89-98
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• 2007

UCC(User Created Content) is attracted public attention in the era of web2.0 that users create, distribute and consume various kinds of media content through a web platform standing on participation, collaboration and openness. As most discussion about UCC is centered on making benefit using it, it is understood as 'the information commodity' which is appropriated to new media environment. But UCC have to be understood not only as the information commodity but as 'the state of media'. UCC can be classified into two types based on desire for transparency and opaqueness from the media's genealogical point of view which is the logic of 'remediation' that J.Bolter and R.Grusin suggested. In the convergence era that a lot of new media appear, for example IPTV and DMB, this study devise a method of the utilization of UCC from diverse aspects of remediation in the paradigm of convergence.

• Korean journal of communication and information
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• v.33
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• pp.193-225
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• 2006

This study attempts to reconsider the significance of political economy as a theory of knowledge and/or a method for explaining the convergence of broadcast and telecommunications. It is going to suggest what the domains of political economy should be in the future by both highlighting the characteristics and blind spots of previous studies and drawing some distinctive features of a new media environment. The principals and recent research trends in political economy are reviewed in order to make clear that the historical totality as a meta-framework of political economy needs to be reexamined in the era of convergence. Although the scope of political economy has been limited to criticize the structure of media ownerships, the study emphasizes the importance of media consumer theory. It also discusses the problems of free market theory, distortion of active media audience theory, and limitations and creative tension of audience commodity. Finally, this study stresses the significance of audience-oriented policies in order to make approach to practical sides of media politics.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.396-402
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• 2022

User interactions are being developed in various forms, and in particular, interactions using human gestures are being actively studied. Among them, hand gesture recognition is used as a human interface in the field of realistic media based on the 3D Hand Model. The use of interfaces based on hand gesture recognition helps users access media media more easily and conveniently. User interaction using hand gesture recognition should be able to view images by applying fast and accurate hand gesture recognition technology without restrictions on the computer environment. This paper developed a fast and accurate user hand gesture recognition algorithm using the open source media pipe framework and machine learning's k-NN (K-Nearest Neighbor). In addition, in order to minimize the restriction of the computer environment, a stereoscopic image control system based on user hand gesture recognition was designed and implemented using a web service environment capable of Internet service and a docker container, a virtual environment.

• Design Convergence Study
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• v.14 no.5
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• pp.87-102
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• 2015

Today, our digital media environments are shifting from a new biological paradigm that can be characterized by "personalization", "interaction", and "kinesis." According to this paradigm shift, the change of media skin is needed, which plays an important role on our urban environments. Thus, this research aims to propose a new media skin that supports user participation based on a new digital media paradigm. For this study, we begin by extracting the essential factors from the characteristics with personalization, interaction, and kinesis through exploring the theories related to the new digital media paradigm. Based on the extracted factors, we investigated the limitation of emerging media skins and proposed a new media skin in order to overcome it. The module-based media skin proposed in this study enables users to quickly and easily design and arrange their own form that they want and display diverse contents through intelligent interaction between modules. This research contributes to providing the framework for guiding designers when they design their media skins.