• 제목/요약/키워드: network interaction

검색결과 1,210건 처리시간 0.028초

Biological Network Evolution Hypothesis Applied to Protein Structural Interactome

  • Bolser, Dan M.;Park, Jong Hwa
    • Genomics & Informatics
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    • 제1권1호
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    • pp.7-19
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    • 2003
  • The latest measure of the relative evolutionary age of protein structure families was applied (based on taxonomic diversity) using the protein structural interactome map (PSIMAP). It confirms that, in general, protein domains, which are hubs in this interaction network, are older than protein domains with fewer interaction partners. We apply a hypothesis of 'biological network evolution' to explain the positive correlation between interaction and age. It agrees to the previous suggestions that proteins have acquired an increasing number of interaction partners over time via the stepwise addition of new interactions. This hypothesis is shown to be consistent with the scale-free interaction network topologies proposed by other groups. Closely co-evolved structural interaction and the dynamics of network evolution are used to explain the highly conserved core of protein interaction pathways, which exist across all divisions of life.

GSnet: An Integrated Tool for Gene Set Analysis and Visualization

  • Choi, Yoon-Jeong;Woo, Hyun-Goo;Yu, Ung-Sik
    • Genomics & Informatics
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    • 제5권3호
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    • pp.133-136
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    • 2007
  • The Gene Set network viewer (GSnet) visualizes the functional enrichment of a given gene set with a protein interaction network and is implemented as a plug-in for the Cytoscape platform. The functional enrichment of a given gene set is calculated using a hypergeometric test based on the Gene Ontology annotation. The protein interaction network is estimated using public data. Set operations allow a complex protein interaction network to be decomposed into a functionally-enriched module of interest. GSnet provides a new framework for gene set analysis by integrating a priori knowledge of a biological network with functional enrichment analysis.

해양 통신 네트워크에서 안정적 통신을 위한 HARQ-ARQ interaction 기법의 성능 평가 (Performance Evaluation of a HARQ-ARQ Interaction Scheme for Reliable Communications in Marine Communication Networks)

  • 손재광;이성로;소재우
    • 한국통신학회논문지
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    • 제39C권11호
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    • pp.1201-1208
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    • 2014
  • 해양 산업과 IT기술의 융합으로 해양 네트워크 시스템에 적용하기 위한 여러 가지 무선통신 기술들이 논의됨에 따라, 본 논문에서는 선박 간의 안정적인 통신을 위한 HARQ-ARQ interaction 기법을 제안하고, 모의실험을 통해 성능을 평가하였다. HARQ-ARQ interaction 기법에서 선박은 HARQ 피드백으로 ARQ 피드백을 대체함으로써, ARQ 블록의 재전송 시간을 단축시킨다. 그러나 HARQ 피드백 오류로 인하여 HARQ-ARQ interaction 기법에서 성능 열화가 발생할 수 있다. 따라서 본 논문은 HARQ-ARQ interaction 기법을 사용할 때 HARQ 피드백 메시지의 오류가 미치는 영향을 고려한다. 모의실험을 통하여 해양 네트워크 시스템에서 HARQ-ARQ interaction 기법을 사용함으로써 지연 성능을 향상시키는 것을 확인하였다.

보완된 카이-제곱 기법을 이용한 단백질 기능 예측 기법 (Fucntional Prediction Method for Proteins by using Modified Chi-square Measure)

  • 강태호;유재수;김학용
    • 한국콘텐츠학회논문지
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    • 제9권5호
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    • pp.332-336
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    • 2009
  • 유전체 분석에서 중요한 부분 중 하나는 기능이 알려지지 않은 미지 단백질에 대한 기능 예측이다. 단백질-단백질 상호작용 네트워크를 분석하는 것은 미지 단백질에 대한 기능을 보다 쉽게 예측할 수 있게 한다. 단백질-단백질 상호작용 네트워크로부터 미지 단백질의 기능을 예측하기 위한 다양한 연구들이 시도되어 왔다. 카이-제곱(Chi-square) 방식은 단백질-단백질 상호작용 네트워크를 통해 기능을 예측하고자 하는 연구 중 대표적인 방식이다. 하지만 카이-제곱 방식은 네트워크의 토폴로지를 반영하지 않아 네트워크 크기에 따라 예측의 정확성이 떨어지는 문제점이 있다. 따라서 본 논문에서는 카이-제곱 방식을 보완하여 정확성을 높인 새로운 기능 예측 방법을 제안한다 이를 위해 MIPS, DIP 그리고 SGD와 같은 공개된 단백질 상호작용 데이터베이스들로부터 데이터를 수집하여 분석하였다. 그리고 제안된 방식의 우수성을 입증하기 위해 각 데이터베이스들에 대해 카이-제곱방식과 제안하는 보완된 카이-제곱(Modified Chi-square)방식으로 예측해보고 이들의 정확성을 평가하였다.

간호대학생들의 상호작용 특징과 대인관계성향의 관계: 사회연결망 분석을 중심으로 (Relationship between the Interpersonal Disposition and Interactive Characteristics of Nursing College Students: A Social Network Analysis)

  • 박미화;강문정;박창승
    • 부모자녀건강학회지
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    • 제19권1호
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    • pp.25-32
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    • 2016
  • Purpose: The purpose of this study was to use the social network analysis to verify the relationship between the interpersonal disposition and interactive characteristics of nursing college students. Five classes, a total of 117 nursing students were included in the study. Methods: The study interaction network centralization, density and in-degree & out-degree centrality were used as indicators for measuring students' study interaction. Also, the students' interpersonal disposition was measured using verified tool. Results: The results indicated that the ordinary type which gave and took the information generally showed the highest proportions in the study interaction network. Also, the empathic-acceptable tendency of social relation domain showed the highest proportions in the interpersonal disposition. Moreover, the students who play the isolate and the carrier role in the study interaction network had no relation with the expression tendency, and the transmitter role play students had no relation with the role tendency. Conclusion: Based on the results, the tutors should consider the students' interpersonal relationship disposition when implementing the instructional strategy in PBL curriculum.

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Research on 5G Core Network Trust Model Based on NF Interaction Behavior

  • Zhu, Ying;Liu, Caixia;Zhang, Yiming;You, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권10호
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    • pp.3333-3354
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    • 2022
  • The 5G Core Network (5GC) is an essential part of the mobile communication network, but its security protection strategy based on the boundary construction is difficult to ensure the security inside the network. For example, the Network Function (NF) mutual authentication mechanism that relies on the transport layer security mechanism and OAuth2.0's Client Credentials cannot identify the hijacked NF. To address this problem, this paper proposes a trust model for 5GC based on NF interaction behavior to identify malicious NFs and improve the inherent security of 5GC. First, based on the interaction behavior and context awareness of NF, the trust between NFs is quantified through the frequency ratio of interaction behavior and the success rate of interaction behavior. Second, introduce trust transmit to make NF comprehensively refer to the trust evaluation results of other NFs. Last, classify the possible malicious behavior of NF and define the corresponding punishment mechanism. The experimental results show that the trust value of NFs converges to stable values, and the proposed trust model can effectively evaluate the trustworthiness of NFs and quickly and accurately identify different types of malicious NFs.

Challenges and New Approaches in Genomics and Bioinformatics

  • Park, Jong Hwa;Han, Kyung Sook
    • Genomics & Informatics
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    • 제1권1호
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    • pp.1-6
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    • 2003
  • In conclusion, the seemingly fuzzy and disorganized data of biology with thousands of different layers ranging from molecule to the Internet have refused so far to be mapped precisely and predicted successfully by mathematicians, physicists or computer scientists. Genomics and bioinformatics are the fields that process such complex data. The insights on the nature of biological entities as complex interaction networks are opening a door toward a generalization of the representation of biological entities. The main challenge of genomics and bioinformatics now lies in 1) how to data mine the networks of the domains of bioinformatics, namely, the literature, metabolic pathways, and proteome and structures, in terms of interaction; and 2) how to generalize the networks in order to integrate the information into computable genomic data for computers regardless of the levels of layer. Once bioinformatists succeed to find a general principle on the way components interact each other to form any organic interaction network at genomic scale, true simulation and prediction of life in silico will be possible.

원격공동연구 플랫품의 상호작용 프로토콜 (Interaction Protocol on the COLAB Platform)

  • 권대현;서영호;김용;황대준
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 1998년도 춘계학술발표 논문집
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    • pp.304-308
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    • 1998
  • Technical advances in computer networks and the Internet bring a new communication era and provide effective solutions for cooperative works and research. These technological advances introduced the concept of cyberspace that many people involve reseach and a project at different locations at the same time. In this paper, we present a fast and effective interaction protocol that is aeapted to the COLAB(COIIaborative LABoratory) Systems which use a high-speed ATM Network. The CCOLAB systems is developed for researchers those who are doing a large project on the collaborative research environment. The interaction protocol that we developed supports multi-session and multi-channel on the TCP/IP Network and provides more flexible solution to control multimedia data on the network.

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New HVDC Interaction between AC networks and HVDC Shunt Reactors on Jeju Converter Stations

  • Kim, Chan-Ki;Kwon, Young-Hun;Jang, Gil-Soo
    • Journal of Power Electronics
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    • 제7권3호
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    • pp.233-237
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    • 2007
  • This paper deals with the new HVDC interaction which was observed in the Jeju-Haenam HVDC system. The interaction is not from a system malfunction or controller loop problem but from the change of AC network scheme and the network operating condition. We have found that the interaction is caused by the voltage oscillation between synchronous compensator and HVDC shunt reactor. We analyzed the cause of the interaction and suggested a solution.

생태계 네트워크 분석을 이용한 생물 군집의 구조와 기능에 대한 연구: 청계천을 사례로 (Exploring Community Structure and Function with Network Analysis: a Case Study of Cheonggye Stream)

  • 이민영;김용은;조기종
    • 환경생물
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    • 제36권3호
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    • pp.370-376
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    • 2018
  • It is important to consider interaction between species in understanding structure and function of the biological community. Current ecological issues such as climate change and habitat loss emphasize the significance of the concept of species interaction in that varying species' interaction across environmental gradients may lead to altered ecological function and services. However, most community studies have focused on species diversity through analysis of quantitative indices based on species composition and abundance data without considering species interactions in the community. 'Ecological network analysis' based on network theory enables exploration of structural and functional properties of ecosystems composed of various species and their interactions. In this paper, network analysis of Cheonggye stream as a case study was presented to promote uses of network analysis on ecological studies in Korea. Cheonggye stream has a simple biological structure with link density of 1.48, connectance 0.07, generality 4.43, and vulnerability 1.94. The ecological network analysis can be used to provide ecological interpretations of domestic long-term monitoring data and can contribute to conserving and managing species diversity in ecosystems.