• Title, Summary, Keyword: Network structure

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Analysis of Structure and Content of Entertainment OTT: Focus on WWE Network (엔터테인먼트 OTT 구조와 콘텐츠의 분석: WWE Network를 중심으로)

  • Han, Sukhee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.3
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    • pp.41-51
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    • 2019
  • This study explores the structure and the content of WWE Network, an entertainment Over The Top(OTT) produced in the United States. These days, a lot of companies all around the globe provide Internet streaming service OTT, and Netflix could be a great example of that. This study focuses on researching WWE Network of World Wrestling Entertainment(WWE). WWE Network is distinguished in a way that it is based on wrestling which combines sport and entertainment, and it is a suitable subject as it is not of wide range. Through this, it not only studies the structure and the content of WWE Network, but also explores the general market of OTT.

Fabrication of Three-Dimensional Network Structures by an Electrochemical Method (전기화학적 방법을 통한 3차원 금속 다공성 막의 제조)

  • Kang, Dae-Keun;Heo, Jung-Ho;Shin, Heon-Cheol
    • Korean Journal of Materials Research
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    • v.18 no.3
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    • pp.163-168
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    • 2008
  • The morphology of three-dimensional (3D) cross-linked electrodeposits of copper and tin was investigated as a function of the content of metal sulfate and acetic acid in a deposition bath. The composition of copper sulfate had little effect on the overall copper network structure, whereas that of tin sulfate produced significant differences in the tin network structure. The effect of the metal sulfate content on the copper and tin network is discussed in terms of whether or not hydrogen evolution occurs on electrodeposits. In addition, the hydrophobic additive, i.e., acetic acid, which suppresses the coalescence of evolved hydrogen bubbles and thereby makes the pore size controllable, proved to be detrimental to the formation of a well-defined network structure. This led to a non-uniform or discontinuous copper network. This implies that acetic acid critically retards the electrodeposition of copper.

Modular Neural Network Using Recurrent Neural Network (궤환 신경회로망을 사용한 모듈라 네트워크)

  • 최우경;김성주;서재용;전흥태
    • Proceedings of the IEEK Conference
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    • pp.1565-1568
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    • 2003
  • In this paper, we propose modular network to solve difficult and complex problems that are seldom solved with multi-layer neural network. The structure of modular neural network in researched by Jacobs and Jordan is selected in this paper. Modular network consists of several expert networks and a gating network which is composed of single-layer neural network or multi-layer neural network. We propose modular network structure using recurrent neural network, since the state of the whole network at a particular time depends on an aggregate of previous states as well as on the current input. Finally, we show excellence of the proposed network compared with modular network.

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Structure Analysis of Optical Internet Network and Optical Transmission Experiments Using UNI Signaling Protocol (광인터넷망 구조 분석과 UNI 시그널링 프로토콜을 이용한 광전송 실험)

  • Lee, Sang-Wha
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.10
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    • pp.47-54
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    • 2013
  • In this paper, the structural design of optical Internet is analyzed and by using UNI (User Network Interface) signaling protocol an optical transmission experiment was performed. The hierarchical structure of the basic optical Internet consists of the backbone network, the service network and the access network. The necessary functions for each layer were described as follows: Control structure of the optical transport layer, network operation and management structure, internetworking technology of sub networks, routing and signaling technology. By using UNI signaling protocol from OIF (Optical Internetworking Forum), the optical transmission in the proposed structure of the optical Internet network was experimented. By the traffic generation of LSP (Label Switched Path) data packets along the route-configuration was delivered to UNI. Finally, by showing the value of TCP (Transmission Control Protocol) packets the optical transmission was completely and successfully demonstrated.

Recurrent Based Modular Neural Network

  • Yon, Jung-Heum;Park, Woo-Kyung;Kim, Yong-Min;Jeon, Hong-Tae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.694-697
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    • 2003
  • In this paper, we propose modular network to solve difficult and complex problems that are seldom solved with Multi-Layer Neural Network(MLNN). The structure of Modular Neural Network(MNN) in researched by Jacobs and jordan is selected in this paper. Modular network consists of several Expert Networks(EN) and a Gating Network(CN) which is composed of single-layer neural network(SLNN) or multi-layer neural network. We propose modular network structure using Recurrent Neural Network(RNN), since the state of the whole network at a particular time depends on aggregate of previous states as well as on the current input. Finally, we show excellence of the proposed network compared with modular network.

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Stable Wavelet Based Fuzzy Neural Network for the Identification of Nonlinear Systems (비선형 시스템의 동정을 위한 안정한 웨이블릿 기반 퍼지 뉴럴 네트워크)

  • Oh, Joon-Seop;Park, Jin-Bae;Choi, Yoon-Ho
    • Proceedings of the KIEE Conference
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    • pp.2681-2683
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    • 2005
  • In this paper, we present the structure of fuzzy neural network(FNN) based on wavelet function, and apply this network structure to the identification of nonlinear systems. For adjusting the shape of membership function and the connection weights, the parameter learning method based on the gradient descent scheme is adopted. And an approach that uses adaptive learning rates is driven via a Lyapunov stability analysis to guarantee the fast convergence. Finally, to verify the efficiency of our network structure. we compare the Identification performance of proposed wavelet based fuzzy neural network(WFNN) with those of the FNN, the wavelet fuzzy model(WFM) and the wavelet neural network(WNN) through the computer simulation.

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A Study on the Network Generation Methods for Examining the Intellectual Structure of Knowledge Domains (지적 구조의 규명을 위한 네트워크 형성 방식에 관한 연구)

  • Lee Jae-Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.2
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    • pp.333-355
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    • 2006
  • Network generation methods to visualize bibliometric data for examining the intellectual structure of knowledge domains are investigated in some detail. Among the four methods investigated in this study, pathfinder network algorithm is the most effective method in representing local details as well as global intellectual structure. The nearest neighbor graph, although never used in bibliometic analysis, also has some advantages such as its simplicity and clustering ability. The effect of input data preparation process on resulting intellectual structures are examined, and concluded that unlike MDS map with clusters, the network structure could be changed significantly by the differences in data matrix preparation process. The network generation methods investigated in this paper could be alternatives to conventional multivariate analysis methods and could facilitate our research on examining intellectual structure of knowledge domains.

Modelling and Performance Evaluation of Packet Network by DEVS Simulation (DEVS 시뮬레이션을 이용한 패킷망의 모델링 및 성능분석)

  • 박상희
    • Journal of the Korea Society for Simulation
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    • v.3 no.1
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    • pp.75-88
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    • 1994
  • Discrete event modeling is finding ever more application to anlysis and design of complex manufacturing, communication, computer systems, etc. This paper shows how packet network systems may be advantageously represented as DEVS (Discrete Event System Specification) models by employing System Entity structure / Model base (SES/MB) framework developed by Zeigler. DEVS models and network structure representations support a strong basis for performance analysis of packet network systems. This approach is illustated in a typical packet network example with several routing strategies.

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Estimating of Link Structure and Link Bandwidth.

  • Akharin, Khunkitti;Wisit, Limpattanasiri
    • 제어로봇시스템학회:학술대회논문집
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    • pp.1299-1303
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    • 2005
  • Over the last decade the research of end-to-end behavior on computer network has grown by orders but it has few researching in hop-by-hop behavior. We think if we know hop-by-hop behavior it can make better understanding in network behavior. This paper represent ICMP time stamp request and time stamp reply as tool of network study for learning in hop-by-hop behavior to estimate link bandwidth and link structure. We describe our idea, experiment tools, experiment environment, result and analysis, and our discussion in our observative.

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Design of Home Network Security System (홈 네트워크 보안시스템 설계)

  • Seol, Jeong-Hwan;Lee, Ki-Young
    • Proceedings of the IEEK Conference
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    • pp.193-194
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    • 2006
  • In this paper, the SPINS, a sensor network security mechanism, was researched to design a system to be applied to home network structure and check the security of which degree was ensured by a virtual network of home networking middleware. Sensor Network security mechanism SPINS provides data confidentiality and authentication by SNEP, and provides authenticated broadcast by ${\mu}TESLA$. We designed the system that applied SPINS to home networking middleware basic structure.

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