Posted by **AvaxGenius** at June 9, 2018

English | PDF,EPUB | 2018 (2019 Edition) | 345 Pages | ISBN : 331978921X | 8.36 MB

This book introduces readers to the “Jaya” algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering.

Posted by **AlexGolova** at June 6, 2018

English | 22 Sept. 2015 | ISBN: 0241004543 | 352 Pages | EPUB | 2.26 MB

Posted by **AvaxGenius** at June 6, 2018

English | PDF,EPUB | 2018 (2019 Edition) | 142 Pages | ISBN : 3319919911 | 8.85 MB

This book provides a comprehensive treatment of the theoretical foundation and algorithmic tools necessary in the design of efficient tag counting and monitoring algorithms in emerging RFID systems. The book delivers an in-depth analysis on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: Stability analysis of the frame slotted Aloha protocol, the de facto standard in RFID tag counting and identification; Tag population estimation in dynamic RFID systems; Missing tag event detection in the presence of unexpected tags; Missing tag event detection in multi-group multi-region RFID systems. The target readers are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on RFID systems and their applications.

Posted by **ksveta6** at April 25, 2018

2015 | ISBN: 0692509704, 0692391762 | English | 256 pages | EPUB | 0.4 MB

Posted by **arundhati** at April 18, 2018

2015 | ISBN-10: 3319159542 | 64 pages | EPUB | 2 MB

Posted by **AvaxGenius** at March 12, 2018

English | PDF,EPUB | 2018 | 106 Pages | ISBN : 9811084726 | 5.79 MB

This book offers a broad overview of mobile communications and its databases, focusing on the processes and methods used in mobile communication networks. Drawing upon the insights of leading researchers, the book’s main focus is on the sliding window algorithm. In addition, the book discusses queuing theory concepts for measuring the realistic throughput and performance of mobile switching centers in global system for mobile communications (GSM) networks by applying the sliding window algorithm. Practical case studies, a full set of easy-to-access supplements, and extensive web resources make reading, learning about and teaching mobile communications easier than ever.

Posted by **hill0** at Feb. 22, 2018

English | 29 Nov. 2015 | ISBN: 3319227319 | 302 Pages | EPUB | 2.52 MB

Posted by **AvaxGenius** at Feb. 15, 2018

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector.

Posted by **First1** at Jan. 26, 2018

English | January 26th, 2018 | ASIN: B078KJNFVL, ISBN: 1785356704 | 184 pages | EPUB | 2.67 MB

How do we understand the world around us? How do we solve problems? Often the answer to these questions follows a certain pattern, an algorithm if you wish. This is the case when our analytical left-brain side is at work. However, there are also elements in our behaviour where intelligence appears to follow a more elusive path, which cannot easily be characterised as a specific sequence of steps.

Posted by **AvaxGenius** at Jan. 15, 2018

English | EPUB | 2015 | 146 Pages | ISBN : 1493922815 | 2.11 MB

This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to obtain probability information is demonstrated in this book. Stochastic optimization problems are difficult to solve since they involve dealing with optimization and uncertainty loops.