Torabi T., “RADIO-MAMA: An RFID based business process framework for asset management

Abstract This paper discusses a framework (called Radio-Mama) using FRID technology for real-time management of mobile assets. We decompose an asset management system into atomic or composite business processes (BPs). Triggered by RFID events, the business events are invoked automatically. Data gathering from RFID receivers are used to fill in required parameters specified in the descriptions of the BPs. The main idea behind the framework is a separation of business logic from sensor technologies for gathering data. This separation allows changes of BPs without effects on gathering sensor data and vice versa. We evaluate our approach through the development of a system for asset management called CSCE-AMS which can be thought of as an instance of Radio-Mama. The framework facilitates the rapid development and extension of sensor based systems

Air quality monitoring for pervasive health

Two monitoring projects relate to this issue's theme, "Hostile Environments": "Landslide Monitoring in the Emilia Romagna Apennines" and "Air Quality Monitoring for Pervasive Health." In addition, "Task-Driven Framework for Pervasive Computing" reports on TaskOS, a project to develop task-driven recommendation systems for pervasive computing environments.Science Foundation IrelandPart of Environmental Monitoring and Task-Driven Computing Rosi, Alberto Bicocchi, Nicola Castelli, Gabriella Corsini, Alessandro Mamei, Marco Zambonelli, Franco Berti, Matteo Angove, Philip O'Flynn, Brendan Hayes, Jer Diamond, Dermot O'Grady, Michael J. O'Hare, Gregory M.P. Vo, Chuong C. Torabi, Torab Loke, Seng W. Page(s): 48 - 50 http://ieeexplore.ieee.org - AV 12/05/2011/xpls/abs_all.jsp?arnumber=558669

Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory

International audienc

Evolution of genes and genomes on the Drosophila phylogeny

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species

Evolution of genes and genomes on the Drosophila phylogeny

Affiliations des auteurs : cf page 216 de l'articleInternational audienceComparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species