• Journal of Digital Convergence
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• v.18 no.8
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• pp.493-504
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• 2020

The objectives of this study was to examine the effect of Interactive Video Game on cognitive information processing the elderly. Sixty elderly were attended in this study. Their ages ranged from 65 to 70, with a mean age of 67.60 years. The subjects were randomly assigned to one of three experimental conditions: (1) interactive video game group (n=20), (2) aerobic exercise group (n=20), (3) control group (n=20). The experimental design of this study was analyzed using two-way ANOVAs with repeated measures of groups and time. Cognitive function was assessed by neuroelectrical response, and ERP analysis. The results of the study showed that the interactive video game group and aerobic exercise group showed no significant statistical differences in the response time, response accuracy, amplitude and potential of the performance of the exercise in cognitive function and ERP analysis, but improved the interaction video game group and aerobic exercise (walking) group over the control group. It was concluded that long-term aerobic exercise like interactive video game is associated with attenuation of cognitive decline in the elderly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.128-130
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• 2014

Digital products which is concentrated on function implementation are disregarded from consumers, while those that is interacting with human and user experience based on digital contents get to high royalties and preferences currently. This trend is the same as open market based on game fields. This paper aims to find the feature of proper interaction in board game on open market and derive the key design factor of them. After many literatures were reviewed, we found how to apply interaction factors to games. We expect to develop the game with the optimal user experience to apply the proper interaction to board game in domestic open market in the future.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.539-542
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• 2007

After introducing some experiment methods including immunoprecipitation and yeast two-hybrid screening, the pool of molecular interaction data is growing fast and databases are produced dramatically. But it is difficult to apply the information to molecular kinetic studies for understanding disease. In this paper, we developed a program that can browse and visualize interactions of cellular molecules using importing heterogeneous external data file. This program support 3D view to navigate and understand more easily and making a signal transduction model that user wants and simulating function to research the model. It was tested for signal transduction of chmotaxis in bacteria.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.6
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• pp.503-513
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• 2005

With the recognition of the importance of computational approach for protein-protein interaction prediction, many techniques have been developed to computationally predict protein-protein interactions. However, few techniques are actually implemented and announced in service form for general users to readily access and use the techniques. In this paper, we design and implement a protein interaction prediction service system based on the domain combination based protein-protein interaction prediction technique, which is known to show superior accuracy to other conventional computational protein-protein interaction prediction methods. In the prediction accuracy test of the method, high sensitivity($77\%$) and specificity($95\%$) are achieved for test protein pairs containing common domains with teaming sets of proteins in a Yeast. The stability of the method is also manifested through the testing over DIP CORE, HMS-PCI, and TAP data. Performance, openness and flexibility are the major design goals and they are achieved by adopting parallel execution techniques, web Services standards, and layered architecture respectively. In this paper, several representative user interfaces of the system are also introduced with comprehensive usage guides.

• Journal of the Korean Professional Engineers Association
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• v.30 no.1
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• pp.5-15
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• 1997

방사선들 중에서 감마선은 우리의 몸 속을 깊숙이 침투할 수 있다. 그런 감마선이 우리 몸을 투과할 때, 체세표를 이룬 원자들의 궤도전자들과 충돌하면서 소멸된다. 우리는 그런 현상들을 물질과의 상호작용 이라 부른다. 방사선과 물질과의 상호작용은 원자의 단위에서 일어난다. 감마선이 물질과의 상호작용들은 물리적으로는 광전자 산란 효과, 컴프턴 산란 효과 그리고 전자쌍 생성효과 등으로 구분하여 설명된다. 방사선이 우리의 몸 속에서 체세포의 원자와 충돌하여 생기는 자유전자들은 몸 속에 남게 되고, 그들은 몸 속을 상당 기간 동안 배회하면서 인체의 생명 현상을 유지시킬 생화학 작용의 기능들을 약화시키기도 하고, 악성인 암세포들을 만들어내기도 하므로 건강 유지에 불리하게 작용한다. 따라서 감마선에 쪼여 생긴 자유전자들은 우리의 정상적인 건강 조건들을 해치는 주된 요소가 된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.347-348
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• 2016

프로젝터와 레이저 포인터를 이용한 상호작용은 널리 알려져 있다. 상호작용을 통해 레이저가 쓰기 동작을 하는 것처럼 보이게 함으로써 프레젠테이션에 활용하거나 마우스 기능을 대신하여 사용자와 영상간의 상호작용을 수행하였다. 본 논문은 위의 연구를 확장하여 스크린 영상에서 레이저를 실시간 검출하여 떨림 정도를 측정하는 방안을 제안한다. 제안된 방법은 레이저 광점이 찍힌 스크린 영상을 카메라로 다시 입력 받는 과정에서 레이저를 정확하게 검출하고 이를 통해 기준점 대비 실험자의 손 떨림의 정도를 수치화 하여, 손 떨림을 검출하고자 할 때 사용되었던 기존 방법인 자세 떨림(postural tremor)이나 운동 떨림(kinetic tremor)과 같은 직관적 관찰에 비해 떨림의 정도를 효과적으로 나타낼 수 있다.

• Annual Conference of KIPS
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• 2011.11a
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• pp.1393-1396
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• 2011

서비스기반 아키텍쳐 (SOA)는 웹기반의 표준화된 인터페이스 및 데이터 교환을 통하여 다양한 기능을 지원하기 위하여 유연성있는 비즈니스 시스템의 통합이 간편하다는 장점을 가지고 있어 현재 많은 IT 시스템에서 사용되고 있다. 하지만 기본적으로 SOA 는 call-and-return 방식으로 구현되어 있어 소프트웨어 개발 프로세스과 같이 시스템 또는 시스템 참여자간의 복잡한 상호작용이 수반되는 프로세스를 지원하는 시스템을 구축하기에는 한계를 보이고 있다. 따라서 개발 프로세스에 적용되는 시스템에서 복잡한 상호작용을 구현할 수 있는 SOA 기반 시스템이 필요하다고 판단된다. 우리는 이 논문에서 복잡한 상호작용을 지원할 수 있는 SOA 기반 프레임워크를 소개한다. SOA 기반 프레임워크에서 다양한 상호작용을 지원하기 위하여 우리는 semantic web 과 dialog act 이론을 사용하였으며 개발프로세스에 적용할 수 있는 ontology 를 개발, 사용함에 의하여 SOA 환경에서 다양한 메시지를 표현할 수 있도록 하였다. 또한 마지막으로 소프트웨어 개발 프로세스 사례연구를 통하여 우리의 접근방법의 타당성을 보인다.

• Digital Contents
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• no.8 s.123
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• pp.118-121
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• 2003

'서버 엔진'이란 네트워크를 통한 대규모 사용자들 간의 상호작용이 요구되는 게임(대표적인 것으로 클라이언트-서버 구조를 갖는 온라인게임)을 구현하기 위해 필요한 핵심적인 기능인 효율적이고 안정적인 네트워킹 기능 외에 기타 다양한 성능 최적화 기능들과 관련 API들을 제공하는 엔진이다.

• Journal of Music and Human Behavior
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• v.13 no.1
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• pp.89-110
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• 2016

This study examined the effect of an interactive instrument playing program on the social interaction of adults with autism spectrum disorder (ASD). A single subject design with multiple baselines across participants was applied, and three adults with severe ASD in their late 20s living at a group home participated in this study. Participants received a total of 25 group sessions. During the intervention, participants engaged in structured instrument playing in which initiation and response to socially interactive behaviors were musically cued, and target behaviors were reinforced in the musical environment. At pre- and posttest, the frequency of initiation of and responding to social interaction behaviors were recorded and analyzed. The results of this study showed that the frequency of both initiation of, and response to, social interaction increased for all participants during the intervention phase, compared to the baseline phase. This result demonstrates that interactive instrument playing increased social behaviors of adults with ASD. It also shows that musically delivered social information can facilitate adults with ASD understanding the intention of social partners in social contexts and motivate this population to engage in social interaction.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.19-29
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• 2020

As the AI speaker market is growing rapidly in recent years, the competition for the preoccupation of children who are the main users and the future prospective customers of the related companies is very intense. However, there is a lack of empirical research on how children interact with AI speakers. Therefore, this research examines the interactions between children and AI speakers, primarily through field studies, to extract what functions they use and what features they have. For this purpose, 799 conversations were collected and analyzed using the log data of the AI speaker recorded in real time. As a result, children were more likely to use children's songs, fairy tales, emotional conversations, and personification compared to adults. In addition, content analysis by specific types resulted in success/failure cases of interaction between children and AI speakers and proposed improvements by failure type. This study is meaningful in that it identifies children's AI speaker preferences, content, and major conversation patterns, and provides guidelines for developing services that meet children's eye level.