Search Results for "scada open source" - Page 85
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Showing 2184 open source projects for "scada open source"
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This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.
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A simple messaging system designed for rapid deployment on robotic platforms. Based on the venerable Inter-Process Communication Package, simpleIPC offers several key extensions: units, auto-discovery, message descriptors, and a Python wrapper. See Soto.
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Fplanner will be desktop application that helps women to find their fertile days and plan to conceive. It was going to be web-based. but due to it's destination it will be simple desktop application mainly for Windows.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Collection of wrappers for textile composite modelling package TexGen and a variation of structural FEA packages (baseline being Calculix) to allow extraction of 3D mechanical property data.
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Create a series of programs to help ABAQUS users from creating models to retrieve results. Partially dump the slow and resource-consuming CAE interface.
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The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).
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CCPNGrid is a Plone add-on to create a web portal which intends to provide the scientific NMR community with the means to process, analyse and execute advanced 3D-structure calculation and validation software all in a straightforward and simple way.
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Python script for Recoord Project (http://www.ebi.ac.uk/msd-srv/docs/NMR/recoord/main.html). It uses Condor and Parallel Python.
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Sketcher is a real-time 2D physics simulator where objects drawn on a virtual sketchpad can interact with each other when gravity is enabled. Additional features will allow multiple users to join sessions and concurrently interact using shared sketchpads
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Investigation the concept of speed knowledge acquisition through speed reading and visual display. The initial version should be based on the concept provided by Dictator and should be a variable speed reader, handling TeX formatted files. Project design
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The aim of our programm is to help lab on counting species and analyze the results with statistics tools.
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A tool for windows users, to determine the type of a file based on its content rather than it suffix.
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Refl2EXAFS is an utility for the analysis of extended x-ray absorption fine structure (EXAFS) data collected in total reflection mode (reflEXAFS).
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Soto is a graphical message debugger for simpleIPC. In addition to displaying the message traffic between processes, it can log and play back this traffic. Soto also provides the ability to design GUI "panes" that are populated with data from messages.
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PyEsp - Enhanced/Evolving/Extensible Semantic Profiling. This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.
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Freeode
Solve Differential Equations
Freeode is a compiler for the SIML programming language. It is a specialized language to solve differential equations. The compiler creates a python program that uses Numpy and Scipy to do the numerical computations. -
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Wiither
Accelerometer-based wireless wind and rain sensor.
This is a university project that aims to create a partial weather sensor (rain + wind) using just one accelerometer (LIS302DL), a PIC (18f2520), two ZigBee 802.15.4 modules and a PC. -
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MVacquire
Python interface to mvIMPACT Acquire for image acquisition
MVacquire provides a Python wrapper for the mvIMPACT Acquire library for image acquisition with hardware (cameras, framegrabbers) from matrix vision. IMPORTANT NOTE: the code repository is now at: https://github.com/geggo/MVacquire -
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A script to generate random text using Markov chains. Output text will be stylistically similar to the training text.
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