Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Frédéric Magoules"'
Publikováno v:
Mathematics, Vol 6, Iss 4, p 45 (2018)
Spatial domain decomposition methods have been largely investigated in the last decades, while time domain decomposition seems to be contrary to intuition and so is not as popular as the former. However, many attractive methods have been proposed, es
Externí odkaz:
https://doaj.org/article/db16cd4dc52246079d54f5d26f1e3db6
Autor:
Athanasios V. Vasilakos, Naixue Xiong, Frèdèric Magoulés, Qiongli Wu, Qingfeng Fan, Yanxiang He
Publikováno v:
Sensors, Vol 9, Iss 9, Pp 7177-7202 (2009)
We propose a scheme to attain shorter multicast delay and higher efficiency in the data transfer of sensor grid. Our scheme, in one cluster, seeks the central node, calculates the space and the data weight vectors. Then we try to find a new vector co
Externí odkaz:
https://doaj.org/article/559407b1cbe645f783418e18f706caa8
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 6 (2012)
MapReduce has excellent scalability and fault-tolerance mechanism. It fits well with the cheap commodity hardware. Today, using MapReduce to answer data analytical query is an attractive topic. In this work, we introduce Multiple Group-by query proce
Externí odkaz:
https://doaj.org/article/e3e486ec08894e32b6ae6bc9825cfde0
Autor:
Hai-Xiang Zhao, Frédéric Magoulès
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 6 (2012)
Machine learning methods are widely studied and applied to predict building energy consumption. Since the factors associated with building energy behaviors are quite abundant and complex, this paper investigates for the first time how the selection o
Externí odkaz:
https://doaj.org/article/6c73bf15dd2d4bca9fc08b823f57f4a6
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 4 (2010)
MapReduce model is a new parallel programming model initially developed for large-scale web content processing. Data analysis meets the issue of how to do calculation over extremely large dataset. The arrival of MapReduce provides a chance to utilize
Externí odkaz:
https://doaj.org/article/3ee5b5626a1a47289fc2c742c9d56858
Autor:
Hai Xiang Zhao, Frédéric Magoulès
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 4 (2010)
Analyzing the energy performance in a building is an important task in energy conservation. To accurately predict the energy consumption is difficult in practice since the building is a complex system with many parameters involved. To obtain enough h
Externí odkaz:
https://doaj.org/article/0af34becac3d41f4be04a286ac81c731
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 3 (2009)
In grid environment, a job may execute on a node that is geographically far away from its data files. These files are stored in heterogeneous storage systems located at geographically distributed virtual organizations. The current approach includes e
Externí odkaz:
https://doaj.org/article/41a6c68aae3f47179e8950671d8576cf
Autor:
Choi-Hong Lai, Frédéric Magoulès
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 3 (2009)
Externí odkaz:
https://doaj.org/article/1b0193306b454d97b19cc73e9f27240d
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 3 (2009)
In this paper a new and original framework for handwriting to speech devices is investigated. This framework is based on a pen-shaped optical mouse connected to a human-machine interaction. The selected approach is divided in four steps: characters a
Externí odkaz:
https://doaj.org/article/dcfe16a9859e4f1c863bf368d5f995b5
Autor:
Lei Yu, Frédéric Magoulès
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 2 (2008)
The evolution of grid computing generates new requirements for distributed application development and deployment. There is no standard way of registering these applications, describing their input parameters and output results and monitoring their p
Externí odkaz:
https://doaj.org/article/4d5f88929c964a7a98cc9e18ed68e29a