Optimal composition of the network topology for the ethernet train backbone

2016 ◽  
Author(s):  
J. Kim ◽  
Y-K. Yoon ◽  
J-H. Yun
Keyword(s):  
Network Topology ◽  
Optimal Composition

Transiting into Singaporean identity: Immigration and naturalisation policy

2015 ◽  
Vol 13 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Mathews Mathew ◽  
Debbie Soon
Keyword(s):  
Manpower Planning ◽  
The State ◽  
Comparative Perspective ◽  
Policy Discourse ◽  
Optimal Composition ◽  
Skilled Labour ◽  
Planning Policy ◽  
The Government ◽  
The Ideal

Debates in Singapore about immigration and naturalisation policy have escalated substantially since 2008 when the government allowed an unprecedentedly large number of immigrants into the country. This essay will discuss immigration and naturalisation policy in Singapore and the tensions that have been evoked, and how these policies are a key tool in regulating the optimal composition and size of the population for the state’s imperatives. It will demonstrate that although the state has, as part of its broader economic and manpower planning policy to import labour for economic objectives, it seeks to retain only skilled labour with an exclusive form of citizenship.  Even as the Singapore state has made its form of citizenship even more exclusive by reducing the benefits that non-citizens receive, its programmes for naturalising those who make the cut to become citizens which include the recently created Singapore Citizenship Journey (SCJ) is by no means burdensome from a comparative perspective. This paper examines policy discourse and the key symbols and narratives provided at naturalisation events and demonstrates how these are used to evoke the sense of the ideal citizen among new Singaporeans. 

Passive mode discovery of network topology

2014 ◽  
Author(s):  
Lisheng Huang ◽  
Mingyong Yin ◽  
Changchun Li ◽  
Xin Wang
Keyword(s):  
Network Topology ◽  
Passive Mode

THE CHOICE OF THE OPTIMAL COMPOSITION OF HARD CAPSULES WITH TRITICAINE-ALPHA

2019 ◽  
Vol 21 (12) ◽  
pp. 66-71
Author(s):  
Тарасов В.В. ◽  
◽  
Краснюк И.И. ◽  
Козлова Ж. М. ◽  
◽  
...  
Keyword(s):  
Optimal Composition

TRANSITION TO CONVOLUTIONAL NEURAL NETWORKS IN RADAR PROBLEMS

2019 ◽  
pp. 96-99
Author(s):  
K. Maystrenko ◽  
A. Budilov ◽  
D. Afanasev
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Target Detection ◽  
Convolutional Neural Networks ◽  
Network Topology ◽  
Subject Areas ◽  
The Subject ◽  
Printed Materials ◽  
Hardware Costs

Goal. Identify trends and prospects for the development of radar in terms of the use of convolutional neural networks for target detection. Materials and methods. Analysis of relevant printed materials related to the subject areas of radar and convolutional neural networks. Results. The transition to convolutional neural networks in the field of radar is considered. A review of papers on the use of convolutional neural networks in pattern recognition problems, in particular, in the radar problem, is carried out. Hardware costs for the implementation of convolutional neural networks are analyzed. Conclusion. The conclusion is made about the need to create a methodology for selecting a network topology depending on the parameters of the radar task.

Comment on “DIO Suppression Attack Against Routing in the Internet of Things”

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga
Keyword(s):  
Internet Of Things ◽  
Network Topology ◽  
Impact Analysis ◽  
The Internet ◽  
Routing Performance ◽  
Routing Attack ◽  
The Internet Of Things ◽  
Specific Reason

<div>We have thoroughly studied the paper of Perazzo et al., which presents a routing attack named DIO suppression attack with its impact analysis. However, the considered simulation grid of size 20mx20m does not correspond to the results presented in their paper. We believe that the incorrect simulation detail needs to be rectified further for the scientific correctness of the results. In this comment, it is shown that the suppression attack on such small sized network topology does not have any major impact on routing performance, and specific reason is discussed for such behavior.</div>

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