• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.282-282
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• 2006

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.157-160
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• 2003

한국의 방송은 이제 인터랙티브 TV 서비스를 실시하기 시작했다. 인터랙티브 서비스는 잠재가치가 매우 뛰어나 앞으로의 방송시장에 막대한 부를 안겨줄 수 있을 것으로 예상되고 있다. 그러나 우리나라는 인터랙티브 TV프로그램이 기술적으로는 충분히 가능함에도 불구하고, 그다지 실질적으로 활용하지 못하고 있다. 이는 근본적으로는 인터랙티브 기술이 시청자의 관심과 참여를 이끌어낼 만큼 경쟁력 있는 포맷의 컨텐츠를 발굴해 내지 못하고 있기 때문이다. 따라서 본 논문에서는 우선 TV의 인터랙티브성(Interactivity)을 정의 내리고, 해외 인터랙티브 TV프로그램 제작 성공 사례를 분석한다. 그리고 이들이 어떤 기술을 바탕으로 서비스를 하고 있으며 어떻게 성공할 수 있었는지 알아보도록 한다. 그리고 한국 디지털 방송의 성공을 위한 인터랙티브 방송 모델을 제시한다.

• ETRI Journal
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• v.29 no.3
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• pp.311-321
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• 2007

In this paper, we propose a user-centric conflict management method for media services which exploits personal companions for the harmonious detection and resolution of service conflicts. To detect conflicts based on the varying characteristics of individual users, the proposed method exploits the unified context describing all users attempting to access media services. It recommends and mediates users' preferred media contents through a shared screen and personal companions to resolve the detected conflicts. During the recommendation, a list of preferred media contents is displayed on the shared screen, and a personally preferred content list is shown on the user's personal companion comprising the selection of media contents. Mediation assists the selection of a consensual service by gathering the users' selections and highlighting the common media contents. In experiments carried out in a ubiHome, we observed that recommendations and mediation are useful in harmoniously resolving conflicts by encouraging user participation in conflict situations.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.83-86
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• 2020

본 논문에서는 네트워크 이상치 탐지를 위하여 정상 데이터만을 활용한 메모리 기반 정상성 학습 모델을 제안한다. 오토인코더를 기반으로 정상 데이터의 특징을 표현하는 프로토타입을 생성할 수 있도록 신경망을 구성하고, 네트워크 데이터의 특성을 반영하여 쿼리의 수를 한 개로 고정하며, 사용되는 프로토타입의 수를 지정한 값으로 고정하여 모든 프로토타입에 정상 데이터의 특징을 반영할 수 있는 학습 방법을 제안한다. 해당 모델을 네트워크 이상치 탐지 데이터 세트인 Kyoto Honeypot, UNSW-NB15, CICIDS-2018에 적용하여 본 결과 Kyoto Honeypot에서는 0.821, UNSW-NB15에서는 0.854, CICIDS-2018에서는 0.981의 AUROC를 달성했다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2491-2508
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• 2019

This research investigates the media consumers' behavior with behavioral economics perspective, especially regarding TV content viewers' behavior; how do online communications influence TV viewers' decision when choosing a new TV content among options. We focus on quantity and attribute of comments or reactions on the online news articles. We analyze that online communications data, which were generated before the first broadcast, affect the TV content consumers' choice for a new TV series. Here we identify a predicted utility, experienced utility and distinction bias in TV media consumption to find the effectiveness of the first viewing choice on whole TV series' episodes. To avoid the crucial influence by exogenous factors, such as season and social issue, the test was done with specific conditions. This research found that the total number of reactions to the comments by itself positively affects the audiences' decision-making behavior for a new TV content choice. This influence was regardless of favor/ non-flavor reactions. This study contributes to the literature on media economics and management by exploring the media content users' consuming behavior and making a first step for finding an important influencer on the media content consumption.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.616-618
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• 2003

In this paper particle filter is used as an underlying algorithm to track multiple objects, which are soccer players. Multi-object tracking becomes difficult when two or more players get close to and overlap each other because particles of the filters tend to move to a region of higher posterior probability. To resolve this problem, a blob assignation algorithm which identifies the separated image blobs after occlusion, based on the predicted states according to the dynamic model is suggested. This method performed well on the sequences under general camera work.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.661-663
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• 2003

In this paper, we present new methods for rapid high-resolution range sensing using green-blue stripe pattern. We use green and blue for designing high-frequency stripe projection pattern. For accurate and reliable range recovery, we identify the stripe patterns by our color-stripe segmentation and unwrapping method. The experimental result for a naked human face shows the effectiveness of our method.

• Journal of electromagnetic engineering and science
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• v.9 no.4
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• pp.188-193
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• 2009

A K-band low-power miniaturized planar-type hyperthermia system was developed to replace massive and expensive equipment. The system consists of a VCO with a buffer amplifier, a high-power amplifier module, a 20-dB-coupled line coupler, a chip circulator and two power detectors for signal generation, amplification and power monitoring. All these components have been implemented in planar form on two module blocks. The total size of the hyperthermia system was less than $10\times6.5\times3\;cm^3$. In order to verify the system performance, ablations were carried out on nude mice xenografted with human breast cancer. Ablation results show performance comparable to the massive components-based system. This work shows the feasibility of a low-cost miniaturized hyperthermia system for practical clinical applications.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.402-402
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• 2006

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.114-114
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• 2004