Titlebook: Intelligent Decision Technologies; Proceedings of the 3 Junzo Watada,Gloria Phillips-Wren,Robert J. Howlet Conference proceedings 2011 The

Foam-Cells

2190-3018 uly 20-22, 2011 in Piraeus, Greece.Written by leading expert.Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in n

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neologism

liposuction

Biomass Estimation for an Anaerobic Bioprocess Using Interval Observerit, we can estimate the quantity of biomass only by using an interval observer. As we know, this two step model has incorporated electrochemical equilibrium, for including the alkalinity that helps to a better control strategy of the plant in which the reactions are taken place.

GRUEL

Building Multi-Attribute Decision Model Based on , Information in Environment with Hybrid UncertaintM) is formulated. Third, multi-attribute decision model (MADM) is built based on linear regression model. Finally, multi-attribute decision model is presented in presence of . information given by experts in an environment with hybrid uncertainty involving both randomness and fuzziness.

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Stable-Angina

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keloid

A GPU-Based Parallel Algorithm for Large Scale Linear Programming Problemvariable selection. At the same time, CPU is used to control the iteration. Experimental results show that the algorithm is competitive with CPU algorithm and can greatly reduce the computing time, so the GPU-based parallel algorithm is an effective way to solve large scale linear programming problem.

外面

Adapted Queueing Algorithms for Process Chainsbase queueing model with Mean-Value Analysis evaluation algorithm, and their adaptations for modeling thread pool and queue limit have been verified and validated for multi-tier software systems. The goal of our work is to adapt these models and algorithms for process chains to model parallel processes and queue limit.