The Effects of the Turbulent Atmosphere on Wave Propagation
Author | : Valerʹi︠a︡n Ilʹich Tatarskiĭ |
Publisher | : |
Total Pages | : 492 |
Release | : 1971 |
Genre | : Atmospheric turbulence |
ISBN | : |
Download Estimating And Forecasting Optical Turbulence In Atmosphere Using An Artificial Neural Network Approach full books in PDF, epub, and Kindle. Read online free Estimating And Forecasting Optical Turbulence In Atmosphere Using An Artificial Neural Network Approach ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Valerʹi︠a︡n Ilʹich Tatarskiĭ |
Publisher | : |
Total Pages | : 492 |
Release | : 1971 |
Genre | : Atmospheric turbulence |
ISBN | : |
Author | : E Fiesler |
Publisher | : CRC Press |
Total Pages | : 1094 |
Release | : 2020-01-15 |
Genre | : Computers |
ISBN | : 1420050648 |
The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl
Author | : A. Arockia Bazil Raj |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 287 |
Release | : 2015-12-18 |
Genre | : Technology & Engineering |
ISBN | : 311045016X |
Recent progress in ICT has exceeded our expectations for meeting the requirement of multimedia society in the 21st century. The FSOC is considered to be one of the key technologies for realizing very high speed multi GbPs large-capacity terrestrial and aerospace communications. In FSOC, the optical beam propagation in the turbulent atmosphere is severely affected by various factors suspended in the channel. Wavefront aberration correcting with continuous beam alignment are the key requirements for a successful installation of an FSOC system which are the main contributions in our book. Establishment of FSOC setups, development of accurate weather station, measurement of atmospheric attenuation (Att) and turbulence strength (Cn2), development of new models to predict the Att and Cn2, design of Response Surface Model and Artificial Neural Network based on controller, implementation of neural-controller in FPGA and attaining the BER of 6.4x10^-9 during different outdoor environments. All the original contributions, newness, findings and experimental results etc., are reported in the book. Subject of work; Wireless Optical Communication. The content of the book can be referred by various application designers and/or academicians for working on FSOC transceiver design, laser cutting, laser metrology, laser surgery, beam focusing & pointing, beacon positioning and coupling etc. Further, all necessary MATLAB and VHDL codes are also given on appropriate pages for the readers' quick/ clear understanding.
Author | : Aristidis Likas |
Publisher | : Springer |
Total Pages | : 657 |
Release | : 2014-04-18 |
Genre | : Computers |
ISBN | : 3319070649 |
This book constitutes the proceedings of the 8th Hellenic Conference on Artificial Intelligence, SETN 2014, held in Ioannina, Greece, in May 2014. There are 34 regular papers out of 60 submissions, in addition 5 submissions were accepted as short papers and 15 papers were accepted for four special sessions. They deal with emergent topics of artificial intelligence and come from the SETN main conference as well as from the following special sessions on action languages: theory and practice; computational intelligence techniques for bio signal Analysis and evaluation; game artificial intelligence; multimodal recommendation systems and their applications to tourism.
Author | : Sue Ellen Haupt |
Publisher | : Springer Science & Business Media |
Total Pages | : 418 |
Release | : 2008-11-28 |
Genre | : Science |
ISBN | : 1402091192 |
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.
Author | : Daniel Bucur |
Publisher | : BoD – Books on Demand |
Total Pages | : 118 |
Release | : 2017-05-24 |
Genre | : Science |
ISBN | : 9535131737 |
Evapotranspiration is the largest outgoing water flux from the Earth's surface; its accurate quantification is critical for the crop development in conditions of the climate changes from recent decades, and it can contribute to a greater understanding of a range of agricultural ecosystem processes. To evaluate the hydric requirements of the crops, it was agreed that they should be reported to a maximum global evapotranspiration called potential evapotranspiration. To estimate this variable, a variety of methods were developed, each with its benefits as well as trade-offs. Their use, however, is laborious due to their complexity and of the large number of parameters required. In this book, specialists' concerns worldwide to develop simple but reliable methodologies - with less data requirement - which will give accurate and appropriate results - are presented. In addition, a study of the physics of the moisture evaporation process from porous media to elucidate what are the mechanisms of moisture migration from granular biopesticides is presented in the last chapter.
Author | : Kim-Hui Yap |
Publisher | : CRC Press |
Total Pages | : 299 |
Release | : 2018-10-03 |
Genre | : Technology & Engineering |
ISBN | : 1351834517 |
Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis.