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โœฆ   LIBER   โœฆ

๐Ÿ“

Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications

โœ Scribed by Arun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng (eds.)


Publisher
Springer International Publishing
Year
2017
Tongue
English
Leaves
296
Series
Studies in Computational Intelligence 705
Edition
1
Category
Library

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โœฆ Synopsis


This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective.

Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms.

The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms.

An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.

โœฆ Table of Contents


Front Matter....Pages i-xvi
Intelligent Decision Support Systems for Sustainable Computing....Pages 1-6
A Genetic Algorithm Based Efficient Static Load Distribution Strategy for Handling Large-Scale Workloads on Sustainable Computing Systems....Pages 7-31
Efficiency in Energy Decision Support Systems Using Soft Computing Techniques....Pages 33-52
Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things....Pages 53-76
Distributed Algorithm with Inherent Intelligence for Multi-cloud Resource Provisioning....Pages 77-99
Parameter Optimization Methods Based on Computational Intelligence Techniques in Context of Sustainable Computing....Pages 101-113
The Maximum Power Point Tracking Using Fuzzy Logic Algorithm for DC Motor Based Conveyor System....Pages 115-138
Differential Evolution Based Significant Data Region Identification on Large Storage Drives....Pages 139-163
A Fuzzy Based Power Switching Selection for Residential Application to Beat Peak Time Power Demand....Pages 165-177
Energy Saving Using Memorization: A Novel Energy Efficient and Fault Tolerant Cluster Tree Algorithm for WSN....Pages 179-206
Analyzing Slavic Textual Sentiment Using Deep Convolutional Neural Networks....Pages 207-224
Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard....Pages 225-245
Analysis of Error Propagation in Safety Critical Software Systems: An Approach Based on UGF....Pages 247-261
A Framework for Analyzing Uncertainty in Data Using Computational Intelligence Techniques....Pages 263-285
Back Matter....Pages 287-289

โœฆ Subjects


Computational Intelligence;Artificial Intelligence (incl. Robotics)


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