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## FUZZY LOGIC IN EMBEDDED SYSTEMS full reportPosted by: computer science topics Created at: Wednesday 09th of June 2010 03:17:38 AM Last Edited Or Replied at :Wednesday 09th of June 2010 03:17:38 AM | embedded system design by frank vahid ,
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successfully tested using a standard CMOS 2.4? Technology, showing good agreement with the expected
performances, namely: from 2.22 to 5.26 Mflips (Mega fuzzy logic inferences per second) at the pin
terminals (@CL=13pF), 933-Ã‚ÂµW power consumption per rule (@Vdd=5V) and 5 bits of resolution.
Since the circuit is intended for a subsystem embedded in an application chip (@CL â€°Â¤5pF)
up to 8 Mflips may be expected. INTRODUCTION: In the last years the application of Fuzzy Logic has been extended beyond the classical Process Control area where .................. [:=> Show Contents <=:] | |||

## fuzzy based washing machinePosted by: nagamani_pinky Created at: Sunday 07th of February 2010 07:50:50 AM Last Edited Or Replied at :Monday 08th of February 2010 09:08:24 AM | fuzzy based clustering powerpoint ,
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## Fuzzy based Washing MachinePosted by: Computer Science Clay Created at: Saturday 28th of February 2009 10:54:37 PM Last Edited Or Replied at :Saturday 28th of February 2009 10:54:37 PM | washing machine energy use,
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rules to control the system. Inside the controller all temperature regulating actions will be based
on how the current room temperature falls into these ranges and the rules describing the system
behavior .The controller's output will vary continuously to adjust the fan speed. The temperature controller described above can be defined in four simple rules: If temperature is COLD then fan speed is HIGH If temperature is COOL then fan speed is MEDIUM If temperature is WARM then fan speed is LOW If temperature is HOT then fan speed is ZERO Here the linguistic variables cool; warm, high, etc.................. [:=> Show Contents <=:] | |||

## NEURO FUZZY LOGICPosted by: seminar projects crazy Created at: Friday 30th of January 2009 12:18:04 PM Last Edited Or Replied at :Friday 03rd of February 2012 01:05:58 AM | fuzzy logic co2 ,
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dents of the rules. Generally, fuzzy systems work well when we can use experience or introspection
to articulate the fuzzy if-then rules. When we cannot do this, we may need neural-network techniques
to generate the rules. Here arise adaptive fuzzy systems...................[:=> Show Contents <=:] | |||

## Fuzzy based Washing MachinePosted by: computer science crazy Created at: Sunday 21st of September 2008 01:03:05 AM Last Edited Or Replied at :Sunday 21st of September 2008 01:03:05 AM | Machine ,
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ng ranges .For example, 78F is 60% warm and 20% hot .The controller is programmed with simple
if-then rules that tell the heater fan how fast to run. As a result, when the temperature changes
the fan speed will continuously adjust to keep the temperature at desired level. Our first step in
designing such a fuzzy controller is to characterize the range of values for the input and output
variables of the controller. Then we assign labels such as cool for the temperature and high for the
fan speed, and we write a set of simple English-like rules to control the system. Inside the
controller all te..................[:=> Show Contents <=:] | |||

## Modern Irrigation System Towards FuzzyPosted by: computer science crazy Created at: Sunday 21st of September 2008 12:50:29 AM Last Edited Or Replied at :Thursday 22nd of October 2009 03:52:59 AM | Fuzzy ,
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ation system is required to reduce the labour cost and to give uniformity in water application
across the field. PHYSIOLOGICAL PROCESSING In the irrigation system, plant take-varying quantities of water at different stages of plant growth. Unless adequate and timely supply of water is assured, the physiological activities taking place within the plant are bound to be adversely affected, thereby resulting in reduced yield of crop. The amount of water to be irrigated in an irrigation schedule depends upon the evapotranspiration(ET) from adjacent soil and from plant leaves at that specified t.................. [:=> Show Contents <=:] | |||

## Fuzzy LogicPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:49:29 PM Last Edited Or Replied at :Saturday 20th of September 2008 11:49:29 PM | Logic ,
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zy logic method born in humans is the only way to get at the problem. History The concept of Fuzzy Logic (FL) was conceived by Lotfi Zadeh, a professor at the University of California at Berkley, and presented not as a control methodology, but as a way of processing data by allowing partial set membership rather than crisp set membership or non-membership. This approach to set theory was not applied to control systems until the 70's due to insufficient small-computer capability prior to that time. Professor Zadeh reasoned that people do not require precise, numerical information input, .................. [:=> Show Contents <=:] | |||

## PH Control Technique using Fuzzy LogicPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:46:46 PM Last Edited Or Replied at :Thursday 15th of March 2012 11:53:31 PM | Logic ,
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y these days, fuzzy logic control is simple, effective and efficient. In this paper, the structure,
working and design of a fuzzy controller is discussed in detail through an in-depth analysis of the
development and functioning of a fuzzy logic pH controller. PH Control To illustrate the application of fuzzy logic, the remaining section of the paper is directed towards the design and working of a pH control system using fuzzy logic. PH is an important variable in the field of production especially in chemical plants, sugar industries, etc. PH of a solution is defined as the negative .................. [:=> Show Contents <=:] |

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