Patrick Greussay

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We propose a critical improvement of the LEACH (Low-Energy Adaptive Clustering Hierarchy) routing protocol for the optimization of the energy consumption as well as memory occupation of Wireless Sensor Network (WSN). Our protocol LEACH-M uses a cascade of clustering algorithms, every step of which chooses the next one. We expect at best an improvement of 5%(More)
The relevance of biological materials and processes to computing—alias bioputing—has been explored for decades. These materials include DNA, RNA and proteins, while the processes include transcription, translation, signal transduction and regulation. Recently, the use of bacteria themselves as living computers has been explored but this use generally falls(More)
In recent years, Mobile sensor networks (MSNs) are significantly developed in various areas of applications. The most important feature of MSN is that the sensor nodes are small size, limited processing, low power and can able to change their location. In mobility, life time of the sensor nodes is the most critical parameter. Designing the energy efficient(More)
We propose a case study where a familiar but very complex and intrinsically woven bio-computing system--the blood clotting cascade--is specified using methods from software design known as object-oriented design (OOD). The specifications involve definition and inheritance of classes and methods and use design techniques from the most widely used(More)
Vic Norris1,2, Abdallah Zemirline1,3, Patrick Amar1,4, Pascal Ballet1,3, Eshel Ben Jacob5, Gilles Bernot1, Guillaume Beslon1,6, Eric Fanchon1, Jean-Louis Giavitto1,7, Nicolas Glade1, Patrick Greussay1, Yohann Grondin1, James A. Foster8, Guillaume Hutzler1, Francois Kepes1, Olivier Michel1,7, Gradimir Misevic1,2, Franck Molina1,9, Jacqueline Signorini1,(More)
This paper presents a method for the extraction of blood vessels from fundus images. The proposed method is an unsupervised learning method which can automatically segment retinal blood vessels based on an adaptive random sampling algorithm. This algorithm consists in taking an adequate number of random samples in fundus images, and all the samples are(More)
We describe a very intricate case of highly correlated bio-processes: the liver fibrogenic cascade, by using a set of tools from object-oriented design (OOD). OOD methods were designed for the abstract specification of complex software prior to programming. It appears that OOD methods can be a fruitful tool for the abstract description of biological(More)