101. Aeon - The Radically Different OS Microkernel manages hardware, provides some services to core kernel, a Java Virtual Machine (JVM), to support fuzzy logic (claims first OS to do so), objectorientation, parallel and distributed processing. Open Source, GPL http://aeonproject.sourceforge.net/

The aeon Project Created On : 20 th Dec. 2001 Last updated : 10:12 PM 4 th May 2003 Mission Statement: To deliver a robust, reliable and evolving platform (in the form of an OS) for scientific research and the common man; providing out of the box support for fuzzy logic, object oriented paradigm, parallel and distributed processing. About aeon Project: Though the name 'aeon' was coined today (7:15 PM 20 th Dec. 2001), I ( V.Ganesh ) though of this project when I was in my 3rd semester at ISSC for Master's degree in Computer Science. Actually the word aeon (pronounced ee-on) means an immense time, an age or an indefinably long period of time. And I would like the 'aeon Project' to be out there for the people (specially scientists) for an aeon :). The specifications and ideas of the aeon project is very preliminary and currently are only my view. I don't want it to be like that and would like it to be an amalgamation of ideas from various minds and brains (of course if they are different ;)). In fact I want to replace all I's with We's as soon as possible... So all those interested please take some pain in reading a bit more about my current ideas and get involved... Detailed overview of the aeon Project: aeon as an OS will be built around a micro kernel architecture (*). The micro kernel will basically manage the core H/W which will provide certain services to the core kernel. The core kernel will be a Virtual Machine built around the Java (TM) Virtual Machine (JVM) specifications. The Virtual Machine will provide the services of object oriented paradigm, parallel and distributed processing and fuzzy logic support.

102. FLLL - A Brief Course In Fuzzy Logic A brief course in fuzzy logic and Fuzzy Control. Authors. Peter Bauer Stephan Nouak Roman Winkler. Version 1.2 Date December 4, 1996 http://www.esru.strath.ac.uk/Reference/concepts/fuzzy/fuzzy.htm

A brief course in Fuzzy Logic and Fuzzy Control Authors: Peter Bauer Stephan Nouak Roman Winkler Version: 1.2 Date: December 4, 1996 You may download this course from the FTP server ftp://ftp.flll.uni-linz.ac.at/pub/info/ Table of Contents Introduction Fuzzy Sets Basic definitions Operations on Fuzzy Sets Fuzzy Control Applications of Fuzzy Logic ... FLLL homepage

103. Max-FORTH Glossary Documentation with all Forth words indexed, defined; in text and PDF. V3.5E is for F68HC11, has words for EEPROM. V5.0 is for 68HC12, has words for fuzzy logic instructions, flash memory; maximally modeled after v3.5E. http://www.ee.ualberta.ca/~rchapman/MFwebsite/V50/Alphabetical/Brief/

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104. FLLL - Applications Of Fuzzy Logic Applications of fuzzy logic. First, we shall look at the fitness of Fuzzy Control in general terms. The employment of Fuzzy Control is commendable http://www.esru.strath.ac.uk/Reference/concepts/fuzzy/fuzzy_appl.00.htm

Applications of Fuzzy Logic First, we shall look at the fitness of Fuzzy Control in general terms. The employment of Fuzzy Control is commendable... for very complex processes, when there is no simple mathematical model for highly nonlinear processes if the processing of (linguistically formulated) expert knowledge is to be performed The employment of Fuzzy Control is no good idea if... conventional control theory yields a satisfying result an easily solvable and adequate mathematical model already exists the problem is not solvable Now let's look at some examples where Fuzzy Control actually has been applied. FLLL homepage Previous Page Table of Contents Next Page

105. ICSC fuzzy logic and Applications. Part of the International ICSC Congress on Computation Intelligence Methods and Applications (CIMA 2001). Bangor, Wales, UK; 1922 June 2001. http://www.icsc-naiso.org/conferences/cima2001/fla2001/

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106. Chp: Fuzzy Logic Research And Life fuzzy logic, invented by Professor Lotfi Zadeh of UCBerkeley in the mid-1960s It is interesting to note that the actual applications of fuzzy logic are http://www.wtec.org/loyola/kb/c5_s4.htm

FUZZY LOGIC RESEARCH AND LIFE History and Goals About Fuzzy Logic Fuzzy logic, invented by Professor Lotfi Zadeh of UC-Berkeley in the mid-1960s, provides a representation scheme and a calculus for dealing with vague or uncertain concepts. It provides for the facile manipulation of such terms as "large," "warm," and "fast," which can simultaneously be seen to belong partially to two or more different, contradictory sets of values. Zadeh originally devised the technique as a means for solving problems in the soft sciences, particularly those that involved interactions between humans, and/or between humans and machines. Within the United States, with some exceptions, the technique has remained mainly of basic research interest. Current and Future Activities Terano and his colleagues now view fuzzy control as but the first way station on the road to human-friendly systems. The evolution is fuzzy control, to fuzzy expert systems, to intelligent robots, to integrated AI systems. The 1992 LIFE research plan shows work in two main areas: communication and machine intelligence. Under communication, LIFE is conducting research in fuzzy computing (including natural language and linguistic modeling applications) and intelligent interfaces (to both humans and robots). Under machine intelligence, LIFE is pursuing work in fuzzy associative memory (software only), image understanding, and intelligent robots (the scope of which was left vague in our discussions). A total of about 30 full-time researchers are involved in all of these efforts.

107. Index.html.new fuzzy logic in Integrated Reasoning. FuzzyCLIPS FuzzyCLIPS is an extension of the CLIPS (C Language Integrated Production System) expert system shell from http://ai.iit.nrc.ca/IR_public/fuzzy/

Fuzzy Logic in Integrated Reasoning FuzzyCLIPS FuzzyCLIPS is an extension of the CLIPS bob.orchard@nrc.ca FuzzyJ Toolkit for the Java(tm) Platform and FuzzyJess The FuzzyJ Toolkit is a set of Java(tm) classes that can be used to build fuzzy logic systems. The toolkit's API can be used standalone to create fuzzy rules and perform fuzzy reasoning. It can also be used with Jess , the Expert System Shell from the Sandia National Laboratories providing a capability that is similar to but in many ways more flexible than FuzzyCLIPS. This integration with Jess, FuzzyJess , has been carefully planned with the Jess author so that the effort to maintain and follow Jess revisions will require minimal effort. The toolkit is currently at version 1.6 (***NEW*** as of May 30, 2005). User feedback is welcomed and will help us shape future versions of the FuzzyJ Toolkit. Comments and questions should be addressed to bob.orchard@nrc-cnrc.gc.ca Last modified: May 30, 2005.

108. Mathtools.net : MATLAB/Fuzzy Logic Listing of MATLAB and Simulink fuzzy logic related links, tools , and resources. http://www.mathtools.net/MATLAB/Fuzzy_Logic/

Link Exchange for the Technical Computing Community Hosted by The MathWorks www.mathworks.com Search Entire Site Applications and Industries C,C++ Excel Fortran Java Learning and Education MATLAB Visual Basic Home MATLAB Top-Rated Links Fuzzy Logic Related Categories Java/Fuzzy Logic MathWorks - Fuzzy Logic Toolbox Update Link / Bad Link? The Fuzzy Logic Toolbox features a simple point-and-click interface that guides you effortlessly through the steps of fuzzy design, from setup to diagnosis. It provides built-in support for the latest fuzzy logic methods, such as fuzzy clustering and adaptive neuro-fuzzy learning. The Toolbox's interactive graphics let you instantly visualize and fine tune system behavior. Submitted Jul 02, 1999 Updated Apr 30, 2004 Rating: (9 Ratings) Rate this link Total Visits: 1063 Neuro-fuzzy MATLAB software Update Link / Bad Link? MATLAB software tool for Neuro-Fuzzy identification and data analysis. Submitted Feb 26, 2001 Updated May 10, 2005

109. Improving Computer Control Of Batch Dyeing Operations Presentation of novel control algorithms, and specific simulation and experimental results for fuzzy logic and adaptive control systems in textile dye houses. Authors Brent Smith and Jun Lu. http://www.p2pays.org/ref/03/02348.pdf

110. Mathtools.net : Java/Fuzzy Logic Listing of Java fuzzy logic related links, tools, and resources. http://www.mathtools.net/Java/Fuzzy_Logic/

Link Exchange for the Technical Computing Community Hosted by The MathWorks www.mathworks.com Search Entire Site Applications and Industries C,C++ Excel Fortran Java Learning and Education MATLAB Visual Basic Home Java Top-Rated Links Fuzzy Logic Related Categories MATLAB/Fuzzy Logic Other/Fuzzy Logic Fuzzy Shower Update Link / Bad Link? This demonstration of Fuzzy Logic has been created using the Fuzzy Java Toolkit that was created by the Integrated Reasoning Group of the Institute for Information Technology of the National Research Council of Canada. The code for this demo is entirely Java code, although there is a capability to create more sophisticated rule based expert systems in concert with the Jess (Java Expert System Shell) from Sandia National Laboratories (see the associated demo of the hybrid Java/Jess Fuzzy Shower). Submitted Dec 20, 1999 Rating: N/A Rate this link Total Visits: 115 "Fit" The Fuzzy Bit Update Link / Bad Link? "Fit" The Fuzzy Bit can't open this website A fuzzy Logic demo, including documentation and source code. Submitted Dec 20, 1999

111. Domestic And Commercial Gas Fires From Drugasar Comprehensive range of heaters including basic gas heater needing no electrical power to electronic models utilising fuzzy logic. http://www.drugasar.co.uk

Tel: 0161 793 8700 Contact Us Drugasar Ltd, Deans Road, Swinton, Manchester M27 0JH, UK Tel: +44 (0) 161 793 8700 Fax: +44 (0) 161 727 8057 Email: info@drufire.co.uk Drugasar is a subsidiary of DRU Verwarming bv By appointment to the Dutch Royal Court DRU Gas Fires and Commercial Gas Heaters. Stylish, Comfortable and Efficient. All DRU products are Part L Compliant click on pics to enlarge Whatever your gas heating needs, Drugasar can provide the solution. Domestic fires and fireplaces For a stunning gas fire fo your living room, take a look at our DRU Designer Collection fire surrounds Domestic gas wall heaters If you need a heater for a spare bedroom, conservatory or extension, we produce a range of efficient and economical gas wall heaters in both classic and contemporary styles. Commercial gas heaters Alternatively, you may need a gas heating solution for a church, school or public housing. We produce gas wall heaters with outputs up to 16 kW. This is sufficient for the largest enclosed spaces, such as school assembly halls, churches and even cathedrals. Installation and service Our service division A name you can trust Drugasar is part of DRU Verwarming balanced flue system in the 1930s. It is still the basis for many of the products that we produce today.

112. Introduction To Fuzzy Logic Zadeh developed fuzzy logic as a way of processing data; Today, fuzzy logic continues to be one of the fastest growing sectors of applied artificial http://www-ugrad.cs.colorado.edu/~cs3202/papers/Brigette_Krantz.html

113. KnowledgeScape Adaptive Optimization And Expert Control Advanced process control software integrates fuzzy logic, neural networks, genetic algorithms, statistical process control techniques and client server architecture for solutions to the process control industry. http://www.kscape.com/

Who We Are Our Technology Our Partners Our Projects and Experience ... Our Offices KnowledgeScape™ advanced process control software integrates fuzzy logic, neural networks, genetic algorithms, statistical process control techniques and client server architecture to provide an easy to use, on line, real time, global optimization solution to the process control industry. Browse our site to learn more about our Company , gather information on our various find someone near you offering a KnowledgeScape solution, or view our interactive demo. AI Learning Section This section is designed to be an introduction to the concepts of Artificial Intelligence and how KnowledgeScape uses these techniques to improve their products. Click here to access this information... KnowledgeScape Software Quick Tour Follow this link to begin the Quick Tour Interactive Presentation! Download our Interactive Presentation in a self-extracting executable file playable on Windows 95 , XP and NT 4.0.

114. Shadowback - Home ©2005 Warm and fuzzy logic™ All rights reserved. ShadowBack® is a registered trademark of Warm and fuzzy logic™. Other brands and products appearing on this http://www.warmandfuzzylogic.com/

Stay Up To Date Sign up for our ShadowBack product announcement newsletter Other brands and products appearing on this site are trademarks of their respective holder(s). ShadowBack Your total computer backup solution. ShadowBack is the backup program designed with you in mind. We all rely on our computers. With ShadowBack, you'll have the peace of mind of knowing that your files are safely backed up - and your backups are as up to date as your latest save. SahdowBack will intelligently and automatically backup your valuable files to DVD-R, CD-R, disk or tape while you work, without interfering with your computer use. If there's anything on your computer you don't want to lose, use ShadowBack. Why Back Up? How to Back Up Exclusive Articles on How Best to Back Up

115. Center For Applied Control Mission is to promote and conduct research in a broad spectrum of fields including acoustics, aeroacoustics, aeroelasticity, structural dynamics, nonlinear systems, pattern recognition, seismic structural vibration, fuzzy logic active control applications, active noise control, and active magnetic bearings. http://ceeweb.egr.duke.edu/~hpgavin/CAC/

The CAC mission is to promote and conduct research in a broad spectrum of fields including acoustics, aeroacoustics, aeroelasticity, structural dynamics, nonlinear systems, pattern recognition, seismic structural vibration, fuzzy logic active control applications, active noise control, and active magnetic bearings. The CAC strives to develop industrial affiliates and a core curriculum to prepare students for research and academic careers in these fields. The Duke University CAC also seeks to serve as a base of expertise for faculty members within the School of Engineering and external to the school to build interdisciplinary research ties. The Center makes efficient use of faculty and laboratories to develop a program which otherwise would not be possible emanating from a single academic department. For further information, contact Professor Henri Gavin , Director of the Center for Applied Control, at (919) 660-5201 or e-mail him at Henri.Gavin@Duke.edu Education Seminars Research ... Members At Large

116. Fuzzy Logic Control With The Intel 8XC196 Embedded Microcontroller fuzzy logic Control with the Intel 8XC196 Embedded Microcontroller. fuzzy logic control is being increasingly applied to solve control problems in areas http://www.intel.com/design/mcs96/papers/esc_196.htm

US Home Intel Worldwide Where to Buy Contact Us ... Advanced Fuzzy Logic Control with the Intel 8XC196 Embedded Microcontroller File Name/Size: esc_196.pdf 56231 bytes Download From: U.S. FTP Server (Download within North America) Mirror FTP Sites (Download from international areas) U.S. Web Server (Available for byte serving)

117. Fuzzy Multidimensional Logic Bivalent, or two state, logic is just a subset of the more powerful methods of fuzzy logic, introduced here, which reject the law of the excluded middle. http://www.calresco.org/lucas/fuzzy.htm

Fuzzy Multidimensional Logic by Chris Lucas "No assertion is ever known with certainty... but that does not stop us making assertions." Carneades, 214-129 BCE "The facts were always fuzzy or vague or inexact... Science treated the gray or fuzzy facts as if they were the black-white facts of math. Yet no one had put forth a single fact about the world that was 100% true or 100% false." Bart Kosko, Fuzzy Thinking, 1994, Preface Introduction Logic to most people relates to two state thinking, the idea that the outcome can only be either true or false, 1 or 0, right or wrong. This form of logic dates back to ancient Greece and is perfectly adequate to answer simple questions in single dimensions, for example, if A is 1 and B is what is A AND B ? It can be extended, as is done in Boolean algebra to more complex questions, as long as all the parts can be described using the same restricted alphabet of two symbols. Such logic is a deductive way of understanding consequences, and a highly valuable intellectual technique. But this sort of logic is inadequate when we need to reason about variables that have more than two values, or in cases where multiple incompatible variables are involved. Yet we still need to make decisions in these cases, so how can we proceed ? Bivalent, or two state, logic is just a sub-set of a more powerful type of logic known as fuzzy logic, so here we will introduce this subject and show how it can be used to evaluate choices both in the multi-valued scenarios of one variable and more importantly in the multi-dimensional scenarios common to complex systems incorporating multiple variables.

118. Intelligent Machines And Systems Lab @ San Diego State University Engaged in research and teaching in broad areas of machine intelligence, including applications to robots and systems of such techniques as fuzzy logic, neural networks, genetic algorithms, evolutionary and soft computing, rough sets, and data mining. http://www-rohan.sdsu.edu/~tarokh/lab/

Lab Director : Dr. Mahmoud Tarokh The Intelligent Machines and Systems Laboratory (IMSL) at San Diego State Universit y is engaged in research and teaching in several areas of machine intelligence. These include applications to robots and systems using techniques such as: Fuzzy logic Robotics and machine intelligence Neural networks Genetic and evolutionary algorithms Intelligent multi-agent systems Rough sets, data mining, and knowledge discovery methods Dynamic system stabilization Recently, several sponsored research projects have been conducted in the laboratory. Among them are: Intelligent navigation and control of Mars rovers sponsored by NASA Genetic path planning of rovers sponsored by Lockheed-Martin Evaluation of computing performance of Compaq Alpha machines for robotic simulation visualization sponsored by Compaq Robotic person-following sponsored by the CSU Research, Scholarship, and Creative Activity program

119. Fuzzy Logic - A Whatis.com Definition fuzzy logic is an approach to computing based on degrees of truth More information is available in the FAQ fuzzy logic and Fuzzy Expert Systems . http://whatis.techtarget.com/definition/0,,sid9_gci212172,00.html

Search our IT-specific encyclopedia for: or jump to a topic: Choose a topic... CIO CRM Data Center Domino Enterprise Linux Enterprise Voice Exchange IBM S/390 IBM AS/400 Mobile Computing Networking Oracle SAP Security Small Medium Business SQL Server Storage Visual Basic Web Services Windows 2000 Windows Security Windows Systems Advanced Search Browse alphabetically: A B C D ... Programming fuzzy logic Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based. The idea of fuzzy logic was first advanced by Dr. Lotfi Zadeh of the University of California at Berkeley in the 1960s. Dr. Zadeh was working on the problem of computer understanding of natural language. Natural language (like most other activities in life and indeed the universe) is not easily translated into the absolute terms of and 1. (Whether everything is ultimately describable in binary terms is a philosophical question worth pursuing, but in practice much data we might want to feed a computer is in some state in between and so, frequently, are the results of computing.) Fuzzy logic includes and 1 as extreme cases of truth (or "the state of matters" or "fact") but also includes the various states of truth in between so that, for example, the result of a comparison between two things could be not "tall" or "short" but ".38 of tallness."

120. Course Technology--InfoWeb: Fuzzy Logic You can find loads of information on fuzzy logic at Aptronix s FuzzyNet Online Web site Aptronix makes fuzzy logic applications that are used in washing http://www.cciw.com/content/fuzzy.html

Fuzzy Logic You can find loads of information on fuzzy logic at Aptronix's FuzzyNet Online Web site, www.aptronix.com/fuzzynet/index.htm . Aptronix makes fuzzy logic applications that are used in washing machines, cameras, air conditioners, automobile transmissions, and automated manufacturing processes. You can find a brief course and information for beginners at Quadralay's Fuzzy Logic Archive, www.austinlinks.com/Fuzzy . Be sure to read Fuzzy Environmental Control, which describes a fuzzy control unit that achieves precision temperature and humidity control. You can see an example of how fuzzy logic is being applied in research on medical imaging at www.cs.tamu.edu/research/CFL/projects/patternid.html . You can find a good index to fuzzy logic resources at Ortech Engineering's Fuzzy Logic Reservoir, www.ortech-engr.com/fuzzy/reservoir.html Click to see a list of all Computer Concepts 4e InfoWebs. Click to see a list of all Computer Concepts 3e InfoWebs. If you are using the CD, close your browser to return to it. Click to see a list of all Illustrated Computer Concepts InfoWebs.

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