• 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.

• Journal of KIISE
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• v.43 no.4
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• pp.470-479
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• 2016

As the number of various types of media data such as UCC (User Created Contents) increases, research is actively being carried out in many different fields so as to provide meaningful media services. Amidst these studies, a semantic web-based media classification approach has been proposed; however, it encounters some limitations in video classification because of its underlying ontology derived from meta-information such as video tag and title. In this paper, we define recognized objects in a video and activity that is composed of video objects in a shot, and introduce a reasoning approach based on description logic. We define sequential rules for a sequence of shots in a video and describe how to classify it. For processing the large amount of increasing media data, we utilize Spark streaming, and a distributed in-memory big data processing framework, and describe how to classify media data in parallel. To evaluate the efficiency of the proposed approach, we conducted an experiment using a large amount of media ontology extracted from Youtube videos.

• Neonatal Medicine
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• v.28 no.1
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• pp.22-28
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• 2021

Purpose: Meconium obstruction of prematurity (MOP) predisposes premature infants to intestinal perforation and prolonged hospitalization if not diagnosed and treated promptly. A standard contrast enema is less effective to treat infants with distal ileal obstructions because the contrast may not reach the obstructed areas. In an effort to avoid risky surgery, we administered oral contrast media to seven clinically diagnosed patients with MOP whose obstructions were not relieved via conventional sonography-guided contrast enema. We retrospectively evaluated whether oral nonionic water-soluble contrast media relieves MOP. Methods: Seven of 67 premature infants with MOP were administered oral contrast media from June 2015 to January 2019. Patients were followed-up radiographically for bowel distention and evacuation of contrast media after oral administration. We recorded radiographic improvements, meconium evacuation, time to first feeding after oral contrast media administration, maternal history, and neonatal clinical factors. Results: We evaluated five male and two female infants. The median gestational ages and body weights at birth were 27⁺⁵ weeks and 890 g, respectively. Radiography in five infants revealed multiple distended intestinal loops without air-fluid interfaces. Two infants had gasless abdomens, in which only stomach gas was visible. Oral contrast media (median, 2.5 mL) were administered at a median age of 7 days; five infants (5/7, 71.4%) responded to this treatment. The remaining two infants, who had ileal stenosis and hypoganglionosis, were surgically managed. Five infants (5/7, 71.4%) had maternal risk factors, and two (28.6%) were small for gestational age. Conclusion: Nonionic oral water-soluble contrast medium can serve as a valuable adjunct treatment in premature infants with meconium obstruction.

• 한국정보통신설비학회:학술대회논문집
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• 2007.08a
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• pp.173-175
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• 2007

So far, almost all IP media services are targeted to the specific devices, for example, IPTV services are mainly for TV, and social community services are mainly for PC etc.. This paper describes newly developed media service platform in which the high quality video services can be provided not only to the TV or PC but also to the PMP(Portable Media Player) and even to the mobile phone. The major technical issues of the service platform are synchronization of contents among the different devices and high quality TV grade video display in PMP device. We confirmed successful operation of multi-device converged services in the developed media platform. We also have a trial service plan in Gwangju city at the end of this year.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.12
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• pp.1455-1462
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• 2014

In the future we are likely to see the development of public media with traditional media is out of the screen using a digital signage media facade. The purpose of searching for effective production and planning methods and message effects when planning messages the public can empathize with and accept. In this paper, we want to include the utilization of production techniques and media facade by applying culture and art and presenting how this can be applied to corporate advertising.

• Journal of Korea Multimedia Society
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• v.9 no.6
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• pp.720-727
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• 2006

In this paper, we propose a method which allows the SuperSQL query processor to share as much code as possible among various, generators, each of which is responsible for the output of a certain medium. SuperSQL is an enhanced query-processing system that converts database records into a variety of formats such as XML, HTML, PDF and etc. However, the existing SuperSQL media generator would require creation of a different processor for each medium, causing duplicated development cost. This research makes three main contributions: First, it analyzes the structures of various media, examining any possibility of integration based on their common structure. Second, it also facilitates the addition of a new output media generator by separating constructors and decorators from each medium. Last, it provides an integrated user interface to each media by method of the Media Abstraction Table Concept. We also show the performance and feasibility of our system using experimental results.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.5 no.4
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• pp.63-73
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• 1996

The knowledge of the specialized fields has been changed rapidly in the both side of quantity and quality. A hyper media as a knowledge based system is so fixed in the linked media in mutual that we couldn't tell it information provision with the view of users. In this paper, we propose the way of offering intellectual and flexible information which is the same with demand in the side of user, selecting, searching and composing the hypertext at the point of user's view through the design of knowledge media system. Three concepts are used in order to challenge the knowledge media system : special document, agent system and ontology. The special document is a ensure that its activities are coordinated with those of the others within the community, providing a uniform control mechanism. Finally, ontology is a language for exchanging knowledgement, which is a message exchanged among agents to ensure the proper interaction among them. The combination of these three concepts is used to design the prototype of knowledge media system.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.904-915
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• 2018

We demonstrate how social media content can be used to predict the unemployment rate, a real-world indicator. We present a novel method for predicting the unemployment rate using social media analysis based on natural language processing and statistical modeling. The system collects social media contents including news articles, blogs, and tweets written in Korean, and then extracts data for modeling using part-of-speech tagging and sentiment analysis techniques. The autoregressive integrated moving average with exogenous variables (ARIMAX) and autoregressive with exogenous variables (ARX) models for unemployment rate prediction are fit using the analyzed data. The proposed method quantifies the social moods expressed in social media contents, whereas the existing methods simply present social tendencies. Our model derived a 27.9% improvement in error reduction compared to a Google Index-based model in the mean absolute percentage error metric.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1195-1200
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• 2004

We introduce an introductory engineering education course for engineering majors and non-engineering majors. This course does not require any previous knowledge and experience on engineering. It requires strong curiosities and imaginations on current and future society we live in, where technology is inseparable ingredient. Course encourages attendees to explore fundamental issues of engineering: what is proper technology and what are proper ways of exercising engineering, issues dealt in soft engineering. Since course topics cover many aspects of technology, traditional learning methods fail to be successful and efficient. Various efficient learning methods have been proposed and implemented. We utilize various interactive tangible media, which include simulated thought experiments and physical media experiences. About 20 episodes in short film format are produced based on scenario written according to related issues selected. Physical media like interactive robots are introduced for attendees' stimulated experiences. We summarize our exciting experiments on interactive teaching experiences at Pusan National University which include on/off-line interactions, assignments, projects, and evaluations.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.103-107
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• 2009

This paper presents how to minimize the second-order cone programming problem occurring in the 3D reconstruction of multiple views. The $L_{\infty}$-norm minimization is done by a series of the minimization of the maximum infeasibility. Since the problem has many inequality constraints, we have to adopt methods of the interior point algorithm, in which the inequalities are sequentially approximated by log-barrier functions. An initial feasible solution is found easily by the construction of the problem. Actual computing is done by an iterative Newton-style update. When we apply the interior point method to the problem of reconstructing the structure and motion, every Newton update requires to solve a very large system of linear equations. We show that the sparse bundle-adjustment technique can be utilized in the same way during the Newton update, and therefore we obtain a very efficient computation.