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Showing posts from November, 2014

PyTorch Code for Simple Neural Networks for MNIST Dataset

ns2 installation in Ubuntu 14.04

This post tells you how to install ns-2.35 in ubuntu 14.04 64 bit Operating system.   NS2 installation in  Ubuntu 14.04 This post also posts a video that shows the installation instructions. 1. There is no audio in this video, please bear with me but these texts will make you understand how the installation is done in linux. 2. Copy the source file into the home folder /home/pradeepkumar/ns-allinone-2.35.tar.gz 3. give this command to untar or unzip the software     tar zxvf ns-allinone-2.35.tar.gz     cd ns-allinone-2.35/     ./install This command will take some time to get ns2 installed.... Before step 1, give these commands (These commands will install the developmental libraries like C, C++, Tcl, Tk, etc)     sudo apt-get update   sudo apt-get install build-essential autoconf automake libxmu-dev You may get an error in the ~ns-2.35/linkstate/ls.h file about a small correction in the C++ constructor change a function erase to this->erase and then try ./install This

APP Tool for analysing the tracefiles for NS2

There is a new tool that is developed by WING of NIT Surathkal. This tool analyze most of the aspects like throughput  goodput residual energy of a node delay packet delivery ratio etc and also plot graphs based on the python-matplotlib package Download this tool from github Unzip it and give the following commands one by one $prompt] sudo apt-get udpate $prompt] sudo apt-get install python-matplotlib $prompt] cd APP-Tool-master/ $prompt] python Here are some of the screenshots To open the App-tool-master App-tool-master   App-tool-master  The following is to plot the throughput App-tool-master  This is for the throughput values to be plotted App-tool-master  The following for plotting the delay App-tool-master The source codes with awk files are given inside the folder Final/. if anyone needs the awk for processing without this front end, you can use that too. To run a

Open Source Softwares for Research by USC

University of Southern California’s Information Sciences Institute (creator of Network Simulator 2 software) is giving royalty free software for researchers and students in various computing domains. You can visit their link and download the software based on some acceptance. (almost all are free and open source). BSL: A system for learning blocking schemes  (helpful for large Data Sources) Carmel Finite State toolkit  (It is a finite state transducer package) EIDOS: Efficiently Inducing Definitions for Online Sources PowerLoom  (Knowledge representation and reasoning system) ISI Rewrite Decoder RST Annotation Tool SPADE (Sentence-level PArsing for DiscoursE) BE: Basic Elements for Automated Evaluation of Summaries Tiburon  is a tree transducer package TORC  (Tools for Reconfigurable Computing) Trellis  (Semantic Web) Wings  (Semantic workflow System) Open Source Software from USC Enjoy the Softwares that needed for you from the website of USC