VPN applications on the Eutelsat D-Star network

2003 ◽  
Author(s):  
E. Feltrin
Keyword(s):  
Star Network

Embedding of Fibonacci Tree into Hyper-Star Network

2018 ◽  
Vol 13 (3) ◽  
pp. 1-6 ◽  
Author(s):  
Jong-Seok Kim ◽  
◽  
Hyung Jae Chang ◽  
Keyword(s):  
Star Network ◽  
Fibonacci Tree

WDM coherent star network with absolute frequency reference

1988 ◽  
Vol 24 (21) ◽  
pp. 1313 ◽  
Author(s):  
Y.C. Chung ◽  
K.J. Pollock ◽  
P.J. Fitzgerald ◽  
B. Glance ◽  
R.W. Tkach ◽  
...  
Keyword(s):  
Absolute Frequency ◽  
Star Network ◽  
Frequency Reference

scholarly journals Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jibing Wu ◽  
Lianfei Yu ◽  
Qun Zhang ◽  
Peiteng Shi ◽  
Lihua Liu ◽  
...  
Keyword(s):  
Real World ◽  
Tensor Decomposition ◽  
Information Networks ◽  
Community Discovery ◽  
Star Network ◽  
Heterogeneous Information ◽  
Heterogeneous Information Networks ◽  
General Network ◽  
Real World Datasets ◽  
Discovery Method

The heterogeneous information networks are omnipresent in real-world applications, which consist of multiple types of objects with various rich semantic meaningful links among them. Community discovery is an effective method to extract the hidden structures in networks. Usually, heterogeneous information networks are time-evolving, whose objects and links are dynamic and varying gradually. In such time-evolving heterogeneous information networks, community discovery is a challenging topic and quite more difficult than that in traditional static homogeneous information networks. In contrast to communities in traditional approaches, which only contain one type of objects and links, communities in heterogeneous information networks contain multiple types of dynamic objects and links. Recently, some studies focus on dynamic heterogeneous information networks and achieve some satisfactory results. However, they assume that heterogeneous information networks usually follow some simple schemas, such as bityped network and star network schema. In this paper, we propose a multityped community discovery method for time-evolving heterogeneous information networks with general network schemas. A tensor decomposition framework, which integrates tensor CP factorization with a temporal evolution regularization term, is designed to model the multityped communities and address their evolution. Experimental results on both synthetic and real-world datasets demonstrate the efficiency of our framework.

Star Network With Collision-Avoidance Circuits

1983 ◽  
Vol 62 (3) ◽  
pp. 631-638 ◽  
Author(s):  
A. Albanese
Keyword(s):  
Collision Avoidance ◽  
Star Network

Densely-spaced FDM coherent star network with optical signals frequency-locked to comb of equally-spaced frequencies

2003 ◽  
Author(s):  
B. Glance ◽  
K.J. Pollock ◽  
P.J. Fitzgerald ◽  
C.A. Burrus ◽  
B.L. Kasper ◽  
...  
Keyword(s):  
Star Network ◽  
Optical Signals

Researching, building the routing algorithm in Zigbee networks

2021 ◽  
pp. 32-41
Author(s):  
Dao Xuan Uoc
Keyword(s):  
Ieee 802.15.4 ◽  
Mesh Networks ◽  
Routing Algorithm ◽  
Optimal Routing ◽  
Star Network ◽  
Transmission Distance ◽  
Zigbee Networks ◽  
Iot Devices ◽  
Ieee 802.15.4 Standard ◽  
Better Than

Zigbee wireless network built on IEEE 802.15.4 standard is becoming one of the most popular wireless networks in modern IoT devices. One of the disadvantages of Zigbee networks is the short transmission distance between devices. This paper focuses on researching and comparing routing algorithms in Zigbee networks, thereby building the optimal routing algorithm in the existing system. The paper’s objective is to form the basis for making Zigbee tree and mesh networks, which improves the transmission distance for Zigbee networks better than the star network.

A distributed star network architecture for interoffice applications

1986 ◽  
Vol 4 (7) ◽  
pp. 755-758 ◽  
Author(s):  
Steven Cheng ◽  
H. Kobrinski ◽  
Liang Wu ◽  
J. Jackel
Keyword(s):  
Network Architecture ◽  
Star Network

scholarly journals Game equilibria and unification dynamics in networks with heterogeneous agents

2017 ◽  
Vol 9 ◽  
pp. 184797901773167 ◽  
Author(s):  
Vladimir Matveenko ◽  
Alexei Korolev ◽  
Maria Zhdanova
Keyword(s):  
Heterogeneous Agents ◽  
Comparative Statics ◽  
Star Network ◽  
Complete Networks ◽  
Time Periods ◽  
Second Period ◽  
Adjustment Dynamics

We study game equilibria in a model of production and externalities in network with two types of agents who possess different productivities. Each agent may invest a part of her endowment (it may be, for instance, time or money) in the first of two time periods; consumption in the second period depends on her own investment and productivity as well as on the investments of her neighbors in the network. Three ways of agent’s behavior are possible: passive (no investment), active (a part of endowment is invested), and hyperactive (the whole endowment is invested). For star network with different productivities of agents in the center and in the periphery, we obtain conditions for existence of inner equilibrium (with all active agents) and study comparative statics. We introduce adjustment dynamics and study consequences of junction of two complete networks with different productivities of agents. In particular, we study how the behavior of nonadopters (passive agents) changes when they connect to adopters (active or hyperactive) agents.

Sign in / Sign up

Export Citation Format

Share Document