Search Results for "python ieee lom"
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Showing 14 open source projects for "python ieee lom"
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Double Conversion
Efficient binary-decimal & decimal-binary conversion routines for IEEE
Double Conversion is a high-performance C++ library that provides precise and efficient binary-decimal and decimal-binary conversion routines for IEEE 754 double-precision floating-point numbers. Originally extracted from the V8 JavaScript engine, it was refactored into a standalone library to make its robust number conversion algorithms easily reusable in other projects. The library ensures consistent and accurate results for converting between double values and their string... -
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System Verilog Parser IEEE 1800 LRM
IEEE LRM compliant System Verilog Parser in Java with Python, Tcl API
This parser has been developed to help users to implement their Verilog tool/utility on the top this library. It reads RTL and populates its internal data structures. There are APIs to extract the design information from the database, there are APIs to elaborate every element of the design along with basic expression evaluation capabilities. It has been bundled as an executable JAR file along with a sample application which reads a RTL file(s), elaborates and dumps it back to show the... -
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Free VHDL Parser with Java, Python and T
IEEE VHDL-93 LRM supported parser implemented in Java, APIs Python/Tcl
This parser has been developed for those who wants to develop his/her own tool around VHDL RTL. Only synthesizable subset of VHDL is supported and it may not work for machine/tool generated VHDL files. This parser has been developed in Java in order to make it platform independent. It reads RTL and populates its internal object model. There are APIs to extract the design information from the database, APIs to elaborate the design along with expression evaluation capabilities. This tool has... -
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Lompad
Metatagging Editor for Learning Object Metadata (IEEE's LOM)
Lompad is a metatagging tool for learning object. It supports the IEEE-lom spec and SCORM, CANCORE and Normetic profiles. The interface is available in French, English and Spanish Consult the project's Web Site for more information. -
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PETRILab
Simulador de Redes de Petri Interpretadas para Controle
...Para utilizar o programa, baixe a versão mais recente em https://sourceforge.net/projects/petrilab/files/, extraia no local de preferência e execute o arquivo 'petrilab.pyw'. [1] M. V. Moreira e J. C. Basílio, “Bridging the Gap Between Design and Implementation of Discrete-Event Controllers”.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERIN -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer... -
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LibreEngineering - suite of instrumentation, electrical, mechanical, process engineering calculation and design programs and other tools. Licensed under GPL3. Written in Python with Qt toolkit.
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SecQua
SecQua tries to quantify the security of a given Information System
SecQua is an open source project written in Python, that tries to quantify the security of a given Information System, using a novel security metric, trying to provide a deterministic, unbiased, objective and efficient measurement. The approach is vulnerability driven and in order to get as much unbiased results, it makes use of the National Vulnerability Database. This work is mainly based on the following publications: *C. -
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This is a Java API binding of the IEEE LTSC LOM (Learning Object Metadata) specification. It defines an implementation neutral Java interface for the LOM, as well as providing a default implementation of that interface, and XML marshalling functionality
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IEEE LOM Application Profiling Tool is a web-based tool fully supporting the process of developing and managing IEEE LOM APs. It also incorporates the ability of educational metadata authoring based on a produced AP.
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Opener-OAI extracts Dublin Core and LOM records from EduCommons RSS-feeds and serves these records as an OAI-repository. It is initially build for the EduCommons site of Open Universiteit Nederland but should work on all EduCommons sites.
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PALOMA Suite allows the referencing of learning resources using metadata according to the international IEEE LOM standard, and SCORM, CANCORE and Normetic application profiles. PALOMA Suite contains: PALOMA (Standard), PALOMAWeb and PALOMARepository.
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SCAM is a development environment for building metadata stores for RDF and the Semantic Web. SCAM is built upon international technology standards and metadata standards. Such as RDF, Dublin Core, IEEE/LOM and IMS.
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CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.
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