Search Results for "php support system"
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Showing 9 open source projects for "php support system"
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XG-PON Module for NS-3 (moved to GitHub)
Codebase moved to GitHub - use the Blue button or link in Description
2023-03-20: the latest version of the XG-PON model for ns-3.35 is in GitHub (https://github.com/ajerikko/xgpon4ns3-v3/releases/tag/v3.1). It contains major changes to example code. Please use it for new activities. 10-Gigabit-capable Passive Optical Network (XG-PON), is regarded as one of the key technologies for future Internet access networks. This project develops an XG-PON module for the NS-3 network simulator - a G987 (ITU-T) standards-compliant, configurable, and extensible module... -
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SVCEval-RA
An Evaluation Framework for Adaptive Scalable Video Streaming
SVCEval-RA is a simulation framework for rate-adaptive video transmission using the Scalable Video Coding standard (H.264/SVC). Our approach uses feedback information about the available bandwidth to allow the video source to select the most suitable combination of SVC layers for the transmission of the video sequence. The proposed solution has been integrated into the network simulator NS-2 in order to support realistic network simulations. -
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ns2-wimax-awg
WIMAX Model for ns-2.36 implementing IEEE 802.16-2012 OFDMA.
The earlier version of this NS-2 add-on (for OFDM PHY) was developed at NIST. At the WiMAX Forum Plenary Meeting at Hawaii (January 30 - February 2, 2007), the decision to merge the independent development efforts supported by Application Architecture Task Group (AATG), WiMAX Forum and NIST was taken. In 2009 the source code was made available to public though the website http://community.4gdeveloper.com/ and is moved from Google code to sourceforge gain a broader attention. Credit is... -
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TraceMetrics
TraceMetrics is a trace file analyzer for Network Simulator 3 (ns-3).
TraceMetrics is a trace file analyzer for Network Simulator 3 (ns-3). The main goal is to perform a quick analyzis of the trace file produced by ns-3's simulations and calculate useful metrics for research and performance measurement. Such tool is needed because a research simulation may generate a trace file with thousands of lines, becoming dificult to analyze manually. Due to this, this tool can be handy in case someone needs a metric that the tool already support. TraceMetrics is... -
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LensOSX
LensOSX: the light, efficient network simulator
Lens is the light, efficient network simulator, written by Doug Rohde. LensOSX is a native MacOSX port of Lens that runs on MacOSX 10.5 or higher, created by Harm Brouwer, Daniel de Kok and Hartmut Fitz. -
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NS3 QoE Monitor
QoE Monitor allows NS3 users to evaluate QoE in simulated environments
QoE Monitor is an open-source software module for Network Simulator 3 (NS-3), usable to perform Quality-of-Experience (QoE) evaluations of multimedia communications in simulative networks. More in detail, it is able to assess the user perceived quality of audio and/or video multimedia streams. Its design has been inspired by EvalVid (link to http://www.tkn.tu-berlin.de/menue/research/evalvid/). QoE Monitor is currently developed by the Networking Research group of University of Modena... -
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SW2PSA
SW2PSA (Stop & Wait and Sliding Window Protocol Simulator and Animator
SW2SPA is an educational simulator with animation for network protocols that allow reliable data transfer, specifically developed for the stop and wait protocols, go-back-N and selective repeat. The aim of SW2PSA is to be used as a tool to support the animation of this protocols in a course like data networks, communication protocols or other related, and to include in the course a project that involves the programming of any of these protocols using a very known language as Java. Since... -
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NeuronalLab
Backpropagation Network Simulator in C++
This is a application for simula Neuronals Networks, now only support the Backpropagation Network. In the future maybe support ART, Adaline, Madaline, and other Neuronal Networks. Use gnuplot to draw the lms error. -
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GNNS - GNNS Neural Network Simulator, is both a set of libraries and an interface for creating and learning neural networks. It is aimed to support as many network typs and learning algorithms as possible. GNNS is meant to support different platforms.
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