profession

For an activity specific to a profession
Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 19/11/13
  • Minor correction: 19/11/13

ScientiFig : create publication-ready scientific figures

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: 2.6 - 02/10/2013
  • License(s): BSD -
    ScientiFig uses the Apache BATIK and XML-apis libraries as well as the BSD Rsession library.
  • Status: beta release
  • Support: maintained, no ongoing development
  • Designer(s): Benoit Aigouy
  • Contact designer(s): Benoit Aigouy
  • Laboratory, service:

 

General software features

Scientists often build figures for publications and talks. To create these figures, they usually rely on powerful tools that are designed for graphic designers to produce artistic figures and are therefore only poorly suited to build scientific figures.

We here present an ImageJ/FIJI plugin called ScientiFig that is devoted to the building of research figures. Our tool can assemble and maintain complex panels containing images with different aspect ratios and associate scalebars, text annotations and ROIs to these panels. Interestingly, our software will always preserve the position of these associated elements even when figure size changes. ScientiFig can export figures as png with a transparent background for a better integration in office documents and as vector graphics that can be finalized using a vector graphics editor. Last but not least, ScientiFig can format figures for various scientific reviews and for example offer to substitute fonts or to resize the figure to better match the journal guidelines (if a journal style does not exist, it can be created using the embedded editor).

For comparison, please find below two alternative tools:

Context in which the software is used

ScientiFig is a tool to buid and format images for scientific publications.

Publications related to the software

ScientiFig: a tool to build publication-ready scientific figures. Aigouy B, Mirouse V. Nat Methods. 2013 Oct 30;10(11):1048. doi: 10.1038/nmeth.2692.

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 11/09/13
  • Minor correction: 11/09/13

TreeCloud : building tree cloud visualizations from texts

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: 1.3 - 13/12/2009
  • License(s): GPL
  • Status: under development
  • Support: maintained, ongoing development
  • Designer(s): Philippe Gambette ; Jean VĂ©ronis
  • Contact designer(s):

    P. Gambette

  • Laboratory, service:

 

General software features

TreeCloud generates a tree cloud from a text, that is a word cloud whose words are arranged around a tree which reflects their semantic proximity inside the text.

Context in which the software is used

The main application of the tree clouds built by TreeCloud is to provide a quick overview of the content of a text. It is also possible to use them for a deeper analysis of the texts, included in a textometric approach (text analysis using software tools and statistical methods). Then, the tree cloud will help the user to fomalize some hypotheses, or test them. It can therefore lead to use other textometric tools to confirm these hypotheses, or to visualize the results of the output of those tools.

Publications related to the software

Philippe Gambette and Jean VĂ©ronis: Visualising a Text with a Tree Cloud, In Locarek-Junge H. and Weihs C., editors, Classification as a Tool of Research, Proc. of IFCS'09 (11th Conference of the International Federation of Classification Societies) Studies in Classification, Data Analysis, and Knowledge Organization 40, p. 561-570, 2010.

Delphine Amstutz and Philippe Gambette (in French): Utilisation de la visualisation en nuage arboré pour l'analyse littéraire, Statistical Analysis of Textual Data (Proc. of JADT'10), p. 227-238, 2010.

Philippe Gambette, Nuria Gala and Alexis Nasr(in French): Longueur de branches et arbres de mots, Corpus 11, p. 129-146, 2012.

William Martinez and Philippe Gambette (in French): L'affaire du Médiator au prisme de la textométrie, Texto !, to appear, 2013.

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 08/09/13
  • Minor correction: 08/09/13

IntegerVectorsModPermutationGroup : enumeration up to the action of a permutation group

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • License(s): GPL
  • Status: stable release
  • Support: maintained, ongoing development
  • Designer(s): Nicolas Borie
  • Contact designer(s): nicolas.borie@univ-mlv.fr
  • Laboratory, service:

 

General software features

IntegerVectorsModPermutationGroup is an enumeration engine of integer vectors up to the action of a permutation group.

Let n a positif integer and G a permutation group, subgroup of the symmetric group of order n. This Sage module IntegerVectorsModPermutationGroup allows to enumerate tuples of length n modulo the action by position of G. This problem generalizes the enumeration of unlabelled graphs up to an isomorphism. One can also add some constraints like the sum of the entries or their maximum size.

This module is completly integrated in Sage since the version 4.7.

Exemple

Exemple for the cyclic group over 4 elements:

sage: G = PermutationGroup([[(1,2,3,4)]]); G
Permutation Group with generators [(1,2,3,4)]
sage: G.cardinality()
4
sage: S = IntegerVectorsModPermutationGroup(G); S
Integer vectors of length 4 enumerated up to the action of Permutation Group with generators [(1,2,3,4)]
sage: S.cardinality()
+Infinity
sage: it = iter(S)
sage: for i in range(25): v = it.next(); print v, " : ", S.orbit(v)
....:
[0, 0, 0, 0]  :  set([[0, 0, 0, 0]])
[1, 0, 0, 0]  :  set([[1, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 0, 0, 1]])
[2, 0, 0, 0]  :  set([[2, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 2], [0, 2, 0, 0]])
[1, 1, 0, 0]  :  set([[1, 0, 0, 1], [0, 0, 1, 1], [1, 1, 0, 0], [0, 1, 1, 0]])
[1, 0, 1, 0]  :  set([[0, 1, 0, 1], [1, 0, 1, 0]])
[3, 0, 0, 0]  :  set([[0, 0, 3, 0], [0, 3, 0, 0], [3, 0, 0, 0], [0, 0, 0, 3]])
[2, 1, 0, 0]  :  set([[0, 2, 1, 0], [0, 0, 2, 1], [1, 0, 0, 2], [2, 1, 0, 0]])
[2, 0, 1, 0]  :  set([[0, 1, 0, 2], [0, 2, 0, 1], [1, 0, 2, 0], [2, 0, 1, 0]])
[2, 0, 0, 1]  :  set([[2, 0, 0, 1], [0, 1, 2, 0], [1, 2, 0, 0], [0, 0, 1, 2]])
[1, 1, 1, 0]  :  set([[1, 1, 1, 0], [1, 1, 0, 1], [1, 0, 1, 1], [0, 1, 1, 1]])
[4, 0, 0, 0]  :  set([[4, 0, 0, 0], [0, 4, 0, 0], [0, 0, 4, 0], [0, 0, 0, 4]])
[3, 1, 0, 0]  :  set([[0, 0, 3, 1], [1, 0, 0, 3], [0, 3, 1, 0], [3, 1, 0, 0]])
[3, 0, 1, 0]  :  set([[0, 3, 0, 1], [0, 1, 0, 3], [3, 0, 1, 0], [1, 0, 3, 0]])
[3, 0, 0, 1]  :  set([[0, 0, 1, 3], [3, 0, 0, 1], [0, 1, 3, 0], [1, 3, 0, 0]])
[2, 2, 0, 0]  :  set([[0, 2, 2, 0], [2, 2, 0, 0], [2, 0, 0, 2], [0, 0, 2, 2]])
[2, 1, 1, 0]  :  set([[2, 1, 1, 0], [1, 0, 2, 1], [1, 1, 0, 2], [0, 2, 1, 1]])
[2, 1, 0, 1]  :  set([[0, 1, 2, 1], [1, 0, 1, 2], [2, 1, 0, 1], [1, 2, 1, 0]])
[2, 0, 2, 0]  :  set([[2, 0, 2, 0], [0, 2, 0, 2]])
[2, 0, 1, 1]  :  set([[1, 2, 0, 1], [2, 0, 1, 1], [0, 1, 1, 2], [1, 1, 2, 0]])
[1, 1, 1, 1]  :  set([[1, 1, 1, 1]])
[5, 0, 0, 0]  :  set([[0, 0, 0, 5], [5, 0, 0, 0], [0, 5, 0, 0], [0, 0, 5, 0]])
[4, 1, 0, 0]  :  set([[0, 0, 4, 1], [1, 0, 0, 4], [0, 4, 1, 0], [4, 1, 0, 0]])
[4, 0, 1, 0]  :  set([[0, 4, 0, 1], [1, 0, 4, 0], [0, 1, 0, 4], [4, 0, 1, 0]])
[4, 0, 0, 1]  :  set([[4, 0, 0, 1], [1, 4, 0, 0], [0, 0, 1, 4], [0, 1, 4, 0]])
[3, 2, 0, 0]  :  set([[3, 2, 0, 0], [0, 0, 3, 2], [2, 0, 0, 3], [0, 3, 2, 0]])

Context in which the software is used

The development of a such engine was necessary for the thesis work of the author. The thesis is about effective invariant theory. This module is also usefull in the following fields:

  • Effective invariant theory,
  • Effective Galois theory,
  • Structure Species theory.
Publications related to the software
Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 24/04/13
  • Minor correction: 24/04/13

X!TandemPipeline : edit, filter, merge and group your peptide/protein identifications from MS/MS mass spectra

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: 3.3.0 - 7 juillet 2012
  • License(s): GPL - v3
  • Status: stable release
  • Support: maintained, ongoing development
  • Designer(s): Benoit Valot, Olivier Langella
  • Contact designer(s): olivier.langella@moulon.inra.fr
  • Laboratory, service:

 

General software features

X!TandemPipeline is a free software (GPL v3) that helps you to filter and group your peptide/protein identifications from MS/MS mass spectra.

Main features :

Context in which the software is used

X!TandemPipeline is designed for a day use by biologists. It performs MS identifications, filters and groups huge data very quickly.

Publications related to the software

Ludovic Bonhomme, Benoit Valot, Francois Tardieu, Michel Zivy. “Phosphoproteome Dynamics Upon Changes in Plant Water Status Reveal Early Events Associated with Rapid Growth Adjustment in Maize Leaves.” Molecular & Cellular Proteomics: MCP (July 10, 2012). http://www.ncbi.nlm.nih.gov/pubmed/22787273.

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 18/04/13
  • Minor correction: 18/04/13

PST-Cox : PSTricks library for drawing 2D-projections of regular complex polytopes

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: 1.0 - fĂ©vrier 2008
  • License(s): LGPL
  • Status: stable release
  • Support: maintained, no ongoing development
  • Designer(s): Jean-Gabriel Luque
  • Contact designer(s): Jean-Gabriel.Luque@univ-mlv.fr
  • Laboratory, service:

 

General software features

PST-Cox is a library of LaTeX macros allowing to draw 2D-projections of regular complex polytopes. Regular complex polytopes are hyperplane arrangements satisfying certain constraints, and whose automorphism graphs are generated by pseudo-reflections (complex reflections). These objects generalize the classical Platonic solids.

Context in which the software is used

This software is used to illustrate research results (see references).

Publications related to the software
  • Briand, J.-G. Luque, J.-Y. Thibon, and F. Verstraete. The moduli space of three qutrit states. Journal of Mathematical Physics. Vol. 45. 2004. pp. 4855-4867.
  • J.-G. Luque. Invariants des hypermatrices. Habilitation Ă  diriger des recherches. I.G.M., UniversitĂ© de Marne-la-VallĂ©e. 2007.
Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 18/04/13
  • Minor correction: 18/04/13

SVDetect : a tool to detect genomic structural variations from paired-end and mate-pair sequencing data

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: 0.8 - 05/12/2011
  • License(s): GPL
  • Status: stable release
  • Support: maintained, no ongoing development
  • Designer(s): Bruno Zeitouni, Valentina Boeva
  • Contact designer(s): svdetect@curie.fr
  • Laboratory, service:

 

General software features

From NGS paired sequences and mapped onto a reference genome, SVDetect allows you to detect clusters of anomanously mapped pairs (with abnormal order, strand orientation or insert size of fragments), and to predict structural variants (SVs) such as large insertions, deletions, inversions, duplications or intra/inter-chromosomal translocations. SVDetect can also compare the results of SVs from different samples and to identify specific-sample SVs (Tumoral DNA vs Control DNA, for example).
SVDetect is compatible with any type of paired reads ("paired-end" or "mate-pair"), sequencing technology (Illumina, SOLiD, PGM, ...), or type of genome.
SVDetect can compute coverage profiles and to reveal loss or gains of genomic regions from the copy-number information.
It is available into a PERL Script and takes the BAM format as input.
SVDetect is also available at the Galaxy toolshed.

Context in which the software is used

SVDetect is an application for the isolation and the type prediction of intra- and inter-chromosomal rearrangements from paired-end/mate-pair sequencing data provided by the high-throughput sequencing technologies.
It was primarily tested in the context of whole genome resequencing projects from cancer cells, rich in chromosomal rearrangements.
SVDetect can also detect fusion genes from RNA-seq experiments.

Publications related to the software
  • SVDetect: a tool to identify genomic structural variations from paired-end and mate-pair sequencing data
    Bruno Zeitouni; Valentina Boeva; Isabelle Janoueix-Lerosey; Sophie Loeillet; Patricia Legoix-ne; Alain Nicolas; Olivier Delattre; Emmanuel Barillot, Bioinformatics 2010 26: 1895-1896, http://www.hal.inserm.fr/inserm-00508372
Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 29/08/12
  • Minor correction: 29/08/12

PFIM : population design evaluation and optimisation

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: PFIM INTERFACE 3.1 and PFIM 3.2.2 - March 2011
  • License(s): GPL
  • Status: stable release, under development
  • Support: maintained, ongoing development
  • Designer(s): Caroline Bazzoli, Thu Thuy Nguyen, Anne Dubois, Sylvie Retout, Emanuelle Comets, HervĂ© Le Nagard, France MentrĂ©
  • Contact designer(s): caroline.bazzoli@imag.fr, thu-thuy.nguyen@inserm.fr, france.mentre@inserm.fr
  • Laboratory, service:

 

General software features

PFIM (Population Fisher Information Matrix) is a R function dedicated to evaluation and optimisation of designs (number of subjects, number of samples per subject and their allocation in time) for nonlinear mixed effects models (population approach). This function is based on the developpement of an approximation of the Fisher information matrix in these models.

Two latest versions of PFIM are currently available :

  • a graphical user interface package using the R software (PFIM Interface 3.1),
  • an R script version (PFIM 3.2.2) requiring some knowledge in R use but which benefits of the latest methodological developments performed in the research team.
Context in which the software is used

PFIM is mainly used to design informative studies in pharmacology for the analyses of dose-concentration-effect (pharmacokinetics/pharmacodynamics) relationtionships of drugs.

PFIM is subject to statistical research (developement of the Fihser Infromation matrix, UMR 738 INSERM-Université Paris-Diderot) but also to pharmacology research.

Publications related to the software

Methodology

  • Nguyen TT, Bazzoli C, MentrĂ© F. Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models, Nguyen TT, Bazzoli C, MentrĂ© F, 2011, [Epub ahead of print].
  • Bazzoli C, Retout S, MentrĂ© F. Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0, Computer Methods and Programs in Biomedicine, 2010, 98 : 55-65.
  • Retout S, Comets E, Bazzoli C, MentrĂ© F. Design optimisation in nonlinear mixed effects models using cost functions:application to a joint model of infliximab and methotrexate pharmacokinetics, Communication in Statistics: Theory and Methods, 2009, 38 : 3351–3368.
  • Bazzoli C, Retout S, MentrĂ© F. Fisher information matrix for nonlinear mixed effects multiple response models: evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model, Statistics in Medicine, 2009, 28 : 1940-1956.
  • Retout S, Comets E, Samson A, MentrĂ© F. Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates, Statistics in Medicine, 2007, 26: 5162-5179.
  • Retout S, MentrĂ© F. Optimisation of individual and population designs using Splus, Journal of Pharmacokinetic and Pharmacodynamics, 2003, 30: 417-443.
  • Retout S, MentrĂ© F. Further developments of the Fisher information matrix in nonlinear mixed-effects models with evaluation in population pharmacokinetics, Journal of Biopharmaceutical Statistics, 2003, 13: 209-227.
  • Retout S, MentrĂ© F, Bruno R. Fisher information matrix for nonlinear mixed-effects models: evaluation and application for optimal design of enoxaparin population, Statistics in Medicine, 2002, 21: 2623-2639.
  • Retout S, Duffull S, MentrĂ© F. Development and implementation of the population Fisher information matrix for evaluation of population pharmacokinetic designs, Computer Methods and Programs in Biomedicine, 2001, 65: 141-151.
  • MentrĂ© F, Mallet A, Baccar D. Optimal design in random-effects regression models, Biometrika, 1997, 84 : 429-442.

Applications of PFIM

  • Delavenne X, Zufferey P, Nguyen P, Rosencher N, Samama C.M,Bazzoli C, Mismett P, Laporte S. Pharmacokinetics of fondaparinux 1.5 mg once daily in a real-world cohort of patients with renal impairment undergoing major orthopaedic surgery. Pharmacokinetics and disposition, 2012, [Epub ahead of print].
  • Sherwin CM, Ding L, Kaplan J, Spigarelli MG, Vinks AA. Optimal study design for pioglitazone in septic pediatric patients. Journal of Pharmacokinetics and Pharmacodynamics, 2011, 38 : 433-447.
  • Guedj J, Bazzoli C, Neuman A.U, MentrĂ© F. Design evaluation and optimization for models of hepatitis C
    viral dynamics. Statistics in Medicine, 2011, 30 : 1045-1056.
  • Bazzoli C, Retout S, MentrĂ© F. Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0, Computer Methods and Programs in Biomedicine, 2010, 98 : 55-65.
  • Retout, S., Comets, E., Bazzoli, C. et MentrĂ©, F. Design optimisation in nonlinear mixed effects models using cost functions: application to a joint model of infliximab and methotrexate pharmacokinetics, Communication in
    Statistics: Theory and Methods, 2009, 38 : 3351–3368.
  • Bazzoli C, Retout S, MentrĂ© F. Fisher information matrix for nonlinear mixed effects multiple response models: evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model, Statistics in Medicine, 2009, 28 : 1940-1956.
  • Retout S, Comets E, Samson A, MentrĂ© F. Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates, Statistics in Medicine, 2007, 26 : 5162-5179.
Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 05/06/12
  • Minor correction: 07/06/12

DOLMEN : Numerical 3D software for Eddy Current Non Destructive Testing

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Status: internal use
  • Support: maintained, ongoing development
  • Designer(s): Yahya Choua, Guillaume Krebs, Yann Le Bihan, Alexandro Ospina, Laurent SantandrĂ©a, Houda Zaidi
  • Contact designer(s): yann.le-bihan[at]lgep.supelec.fr
  • Laboratory, service:

 

General software features

DOLMEN is a numerical software dedicated to Eddy Current Non Destructive Testing (EC-NDT). The quasi-stationary Maxwell equations are solved using the Finite Element Method in 3D. The dual electric and magnetic formulations with electric and magnetic combined potentials are used in harmonic regime. First order edge and nodal Whitney tetrahedral elements are used. The gauging conditions are avoided using an iterative solver to ensure the uniqueness of the solution.

Specific developments concerning EC-NDT have been made:

  • Taking into account the probe movement.
  • Automatic mesh adaptation based on a local error estimator using the complementarity between the two formulations.
  • Numerical methods dedicated to the thin geometric structures (flaws, thin lift-off , thin coil, deposit, coating, ...).
  • Transmitter/Receiver with common or separated functions.

This code is based on an object oriented approach using the C++ language. Its software architecture is based on the Freefem++ kernel. It is droved by a Python script and it uses Netgen as Mesh generator. Distributed computing can be used to manage probe displacement.

Context in which the software is used

This software is used in research academic NDT frameworks (European research project VERDICT 2003-2006, Competitiveness cluster SYSTEM@TIC PARIS-REGION, french framework SIMCO-IMPACT, collaborative works with Dassault, CEA-LIST, LSS, Univ. Budapest, ...).

Publications related to the software

A contribution to connect non-conform meshes with overlapping finite elements, H. Zaidi, L. Santandréa, G. Krebs, Y. Le Bihan, "IGTE", Graz, AT, 19 September 2010, pp. 1-6, Proceedings of IGTE.

Electromagnetic Field Computation in Magnetic and Conductive Thin sheets, A. Ospina Vargas, L. Santandréa, Y. Le Bihan, C. Marchand, Sensor Letters", Vol. 7, Issue: 3, June 2009, pp. 480-485.

Adaptive Mesh Refinement and Probe Signal Calculation in Eddy Current NDT by Complementary Formulations, M. Bensetti, Y. Choua, L. Santandréa, Y. Le Bihan, C. Marchand, IEEE Transaction on magnetics, juin 2008, volume 44, issue 6, pp. 1646-1649.

Crack modelling in ECT with combined potential formulations, Y. Choua, L. Santandréa, Y. Le-Bihan, C. Marchand, IEEE Transactions on magnetics, April 2007, Volume 43, Issue 4, pp. 1789-1792.

Using Mortar Element Method for Eddy Current Testing Finite Element Computations, L. Santandrea, Y. Choua, Y. Le Bihan, C. Marchand, COMPUMAG, Aachen (juin 2007).

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 30/01/12
  • Minor correction: 30/01/12

SURELET-DECONV : SURE-LET based restoration software (Matlab toolbox)

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: v1.0 - 20/01/2012
  • License(s): CeCILL-B
  • Status: stable release
  • Support: maintained, no ongoing development
  • Designer(s): J.-C. Pesquet, C. Chaux
  • Contact designer(s): caroline.chaux@univ-mlv.fr
  • Laboratory, service:

 

General software features

This Matlab toolbox allows to restore (blur + noise) an image using SURE-LET.

Context in which the software is used

Image deconvolution of an image corrupted by a blur and an additive Gaussian noise.

Publications related to the software

A SURE Approach for Digital Signal/Image Deconvolution Problems
Jean-Christophe Pesquet, Amel Benazza-Benyahia, Caroline Chaux
IEEE Transactions on Signal Processing, Vol. 57, No. 12, Dec. 2009, pp. 4616-4632.
http://arxiv.org/abs/0810.4807
http://www-syscom.univ-mlv.fr/~chaux/publications....

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 24/01/12
  • Minor correction: 24/01/12

D-LITe : framework to create and deploy distributed applications for Things

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System:
  • Current version: 0.9 - juin 2011
  • License(s): GPL
  • Status: stable release
  • Support: maintained, ongoing development
  • Designer(s): Equipe PASNet
  • Contact designer(s): sylvain.cherrier @ univ-paris-est.fr
  • Laboratory, service:

 

General software features

D-LITe is an universal and standardized platform to deploy the logic of a distributed application over a wireless sensor network (ie. Home Automation application). D-LITe uses 6LowPAN (IPv6 on sensors) and CoAP (REST compatible client-server protocol). The goal is to achieve quick deployments and complete reconfiguration of the behavior of the whole wireless sensor network. This is done without flashing each node.

The use of IPv6 and REST allows to abstract hardware and operating system's specificities.

Context in which the software is used

This program can be used for wireless sensor networks. The code works with Contiki and has been tested wich the COOJA simulator and on a real test bed (TelosB).

The access to each node and the logic deployment to be applied can be done with any CoAP client (coapy in Python, or copper as FireFox plugin). The complete description of SALT (the language for the description of the logic) is given on the web site of D-LITe.

Publications related to the software

D-LITe: Distributed Logic for Internet of Things sErvices.
Sylvain Cherrier, Yacine Ghamri-Doudane, Stephane Lohier, Gilles Roussel.
iThings 2011: The 2011 IEEE International Conference on Internet of Things. Dalian, China; October 19-22, 2011.

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