Testing Network Code

2021 ◽  
pp. 151-166
Author(s):  
Gio Lodi
Keyword(s):  
Network Code

scholarly journals INSTANCE – the Italian seismic dataset for machine learning

2021 ◽  
Vol 13 (12) ◽  
pp. 5509-5544
Author(s):  
Alberto Michelini ◽  
Spina Cianetti ◽  
Sonja Gaviano ◽  
Carlo Giunchi ◽  
Dario Jozinović ◽  
...  
Keyword(s):  
Machine Learning ◽  
Transfer Functions ◽  
Strong Motion ◽  
Network Code ◽  
Waveform Data ◽  
Magnitude Range ◽  
Comprehensive Information ◽  
Selection For ◽  
Learning Analysis ◽  
Italian Earthquake

Abstract. The Italian earthquake waveform data are collected here in a dataset suited for machine learning analysis (ML) applications. The dataset consists of nearly 1.2 million three-component (3C) waveform traces from about 50 000 earthquakes and more than 130 000 noise 3C waveform traces, for a total of about 43 000 h of data and an average of 21 3C traces provided per event. The earthquake list is based on the Italian Seismic Bulletin (http://terremoti.ingv.it/bsi, last access: 15 February 2020​​​​​​​) of the Istituto Nazionale di Geofisica e Vulcanologia between January 2005 and January 2020, and it includes events in the magnitude range between 0.0 and 6.5. The waveform data have been recorded primarily by the Italian National Seismic Network (network code IV) and include both weak- (HH, EH channels) and strong-motion (HN channels) recordings. All the waveform traces have a length of 120 s, are sampled at 100 Hz, and are provided both in counts and ground motion physical units after deconvolution of the instrument transfer functions. The waveform dataset is accompanied by metadata consisting of more than 100 parameters providing comprehensive information on the earthquake source, the recording stations, the trace features, and other derived quantities. This rich set of metadata allows the users to target the data selection for their own purposes. Much of these metadata can be used as labels in ML analysis or for other studies. The dataset, assembled in HDF5 format, is available at http://doi.org/10.13127/instance (Michelini et al., 2021).

Network Code Division Multiplexing for Wireless Relay Networks

2015 ◽  
Vol 14 (10) ◽  
pp. 5736-5749 ◽  
Author(s):  
Jing Yue ◽  
Zihuai Lin ◽  
Branka Vucetic ◽  
Guoqiang Mao ◽  
Ming Xiao ◽  
...  
Keyword(s):  
Relay Networks ◽  
Network Code ◽  
Wireless Relay Networks ◽  
Wireless Relay ◽  
Code Division Multiplexing

An Efficient Framework for Network Code based Multimedia Content Distribution in Hybrid P2P Network

2019 ◽  
Vol 29 (10) ◽  
pp. 2050157
Author(s):  
M. Anandaraj ◽  
P. Ganeshkumar ◽  
K. Selvaraj ◽  
K. P. Vijayakumar
Keyword(s):  
Network Coding ◽  
Content Distribution ◽  
Network Code ◽  
Coding System ◽  
Topology Change ◽  
Good Reliability ◽  
Coding Scheme ◽  
Stated Problem ◽  
Hybrid P2p ◽  
Multimedia Content Distribution

Most of the existing peer-to-peer (P2P) content distribution schemes carry out a random or rarest piece first content dissemination procedure to avoid duplicate transmission of the same pieces of data and rare pieces of data occurring in the network. This problem is solved using P2P content distribution based on network coding scheme. Network coding scheme uses random linear combination of coded pieces. Hence, the above-stated problem is solved easily and simply. Our proposed mechanism uses network coding mechanism in which several contents having the same message are grouped into different groups and coding operation is performed only within the same group. The interested peers are also divided into several groups with each group having the responsibility to spread one set of contents of messages. The coding system is designed to assure the property that any subset of the messages can be utilized to decode the original content as long as the size of the subset is suitably large. To meet this condition, dynamic smart network coding (DSNC) scheme is defined which assures the preferred property, then peers are connected in the same group to send the corresponding message, and connect peers in different groups to disseminate messages for carrying out decoding operation. Moreover, the proposed system is readily expanded to support topology change to get better system performance further in terms of reliability, link stress and throughput. The simulation results prove that the proposed system can attain 20–25% higher throughput than existing systems, good reliability, link failure and robustness to peer churn.

A Proposed Nonbinary Network Codes Applied in Wireless Broadcast

2014 ◽  
Vol 644-650 ◽  
pp. 4167-4173
Author(s):  
Wei Chen ◽  
Jun Wu ◽  
Xin Lin Huang
Keyword(s):  
Forward Error Correction ◽  
Network Code ◽  
Base Station ◽  
Delay Performance ◽  
Wireless Broadcast ◽  
Common Information ◽  
Broadcast Network ◽  
Error Ratio ◽  
Network Codes ◽  
Forward Error

This paper proposes a new method of applying nonbinary network coding in wireless broadcast network. This network consists of T(T>2) users who receive common information independently from a common base station (BS). We assume that the transmission blocks are subject to block-fading with independent fading coefficients for each block, nonbinary network codes over finite fields are used on top of channel codes.We take two kinds of schemes, with ACK and without ACK, into consideration. In the first situation while considering ACK mechanism, the forward error correction (FEC) and retransmitted techniques are used and network code (NC) can diminish the retransmit count significantly. In the second situation while utilizing broadcast nature without ACK, the NC could help to rebuild losing packets, thus decrease block error ratio.We analyze the delay performance and block error ratio, and verify the analytical performance with simulation. Both simulation and analysis confirm the advantage of proposed scheme.

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