Fuzzy Logic-Based Algorithms for Video De-Interlacing

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Release : 2010-02-26
Genre : Computers
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Book Rating : 943/5 ( reviews)

Fuzzy Logic-Based Algorithms for Video De-Interlacing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Logic-Based Algorithms for Video De-Interlacing write by Piedad Brox. This book was released on 2010-02-26. Fuzzy Logic-Based Algorithms for Video De-Interlacing available in PDF, EPUB and Kindle. The ‘Fuzzy Logic’ research group of the Microelectronics Institute of Seville is composed of researchers who have been doing research on fuzzy logic since the beginning of the 1990s. Mainly, this research has been focused on the microel- tronic design of fuzzy logic-based systems using implementation techniques which range from ASICs to FPGAs and DSPs. Another active line was the development of a CAD environment, named Xfuzzy, to ease such design. Several versions of Xfuzzy have been and are being currently developed by the group. The addressed applications had basically belonged to the control ?eld domain. In this sense, s- eral problems without a linear control solution had been studied thoroughly. Some examples are the navigation control of an autonomous mobile robot and the level control of a dosage system. The research group tackles a new activity with the work developed in this book: the application of fuzzy logic to video and image processing. We addressed our interest to problems related to pixel interpolation, with the aim of adapting such interpolation to the local features of the images. Our hypothesis was that measures and decisions to solve image interpolation, which traditionally had been done in a crisp way, could better be done in a fuzzy way. Validation of this general hypothesis has been done speci?cally in the interpolation problem of video de-interlacing. - interlacing is one of the main tasks in video processing.

Fuzzy Logic-based Algorithm for Video De-interlacing and Its Hardware Implementation

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Release : 2009
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Fuzzy Logic-based Algorithm for Video De-interlacing and Its Hardware Implementation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Logic-based Algorithm for Video De-interlacing and Its Hardware Implementation write by Piedad Brox Jiménez. This book was released on 2009. Fuzzy Logic-based Algorithm for Video De-interlacing and Its Hardware Implementation available in PDF, EPUB and Kindle.

Linguistic Fuzzy Logic Methods in Social Sciences

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Release : 2010-06-17
Genre : Computers
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Book Rating : 428/5 ( reviews)

Linguistic Fuzzy Logic Methods in Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linguistic Fuzzy Logic Methods in Social Sciences write by Badredine Arfi. This book was released on 2010-06-17. Linguistic Fuzzy Logic Methods in Social Sciences available in PDF, EPUB and Kindle. The book, titled “Linguistic Fuzzy-Logic Methods in Social Sciences,” is a first in its kind. Linguistic fuzzy logic theory deals with sets or categories whose boundaries are blurry or, in other words, “fuzzy,” and which are expressed in a formalism that uses “words” to compute, not numbers, termed in engineering as “soft computing.” This book presents an accessible introduction to this linguistic fuzzy logic methodology, focusing on its applicability to social sciences. Specifically, this is the first book to propose an approach based on linguistic fuzzy-logic and the method of computing with words to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences. The project consists of systematic, theoretical and practical discussions and developments of these new methods as well as their applications to various substantive issues of interest to international relations scholars, political scientists, and social scientists in general.

Optimal Models and Methods with Fuzzy Quantities

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Release : 2010-03-10
Genre : Technology & Engineering
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Book Rating : 125/5 ( reviews)

Optimal Models and Methods with Fuzzy Quantities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Models and Methods with Fuzzy Quantities write by Bing-Yuan Cao. This book was released on 2010-03-10. Optimal Models and Methods with Fuzzy Quantities available in PDF, EPUB and Kindle. This book studies optimized models with fuzzy quantities. It can be used by undergraduates in higher education, master graduates and doctor graduates. It also serves as a reference for researchers, particularly for those in the field of soft science.

Fuzzy Cognitive Maps

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Release : 2010-09-07
Genre : Technology & Engineering
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Book Rating : 206/5 ( reviews)

Fuzzy Cognitive Maps - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Cognitive Maps write by Michael Glykas. This book was released on 2010-09-07. Fuzzy Cognitive Maps available in PDF, EPUB and Kindle. This important edited volume is the first such book ever published on fuzzy cognitive maps (FCMs). Professor Michael Glykas has done an exceptional job in bringing together and editing its seventeen chapters. The volume appears nearly a quarter century after my original article “Fuzzy Cognitive Maps” appeared in the International Journal of Man-Machine Studies in 1986. The volume accordingly reflects many years of research effort in the development of FCM theory and applications—and portends many more decades of FCM research and applications to come. FCMs are fuzzy feedback models of causality. They combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. That rich structure endows FCMs with their own complexity and lets them apply to a wide range of problems in engineering and in the soft and hard sciences. Their partial edge connections allow a user to directly represent causality as a matter of degree and to learn new edge strengths from training data. Their directed graph structure allows forward or what-if inferencing. FCM cycles or feedback paths allow for complex nonlinear dynamics. Control of FCM nonlinear dynamics can in many cases let the user encode and decode concept patterns as fixed-point attractors or limit cycles or perhaps as more exotic dynamical equilibria. These global equilibrium patterns are often “hidden” in the nonlinear dynamics. The user will not likely see these global patterns by simply inspecting the local causal edges or nodes of large FCMs.