[PDF] Top 20 1. An effectual emotion recognition system based on fuzzy logic

... Classification problem is one of the problem wherein data has to be classified into different classes present inside the db. This extricated data can be then further arranged by extremity as positive, negative or ... See full document

... photovoltaic module or array to an electrolyze [8], [9]. Most of the industrial electrolyzes used today in capacities up to several thousand m3/hr are used on alkaline [koh] electrolyte. Electrolyzes using a polymer, ... See full document

... T1FS based classifiers. The present problem shows recognition accuracy as high as ...gesture recognition, features based on Euclidean distances and angles between four centroids of the body ... See full document

... on fuzzy logic speed control of an induction ...on fuzzy logi techniques to control the three phase induction motor ...the system design. They evaluated the system performance in ... See full document

... are fuzzy, uncertain and ...task based on vague superposition and implicit inferences. The fuzzy logic tool is used to assist the customer to finalize their requirements from the options given ... See full document

... of Fuzzy Logic Control to the design of the EMS for the case under study, since this approach easily integrates the experience of the user rather than using a mathematical model of the ... See full document

... The fuzzy principles depend upon the fourteen (14) input behaviors and the percentage of the output variable named as Allowed on which the decision is ...the fuzzy logic gives the solution that if ... See full document

... To find the mean shape, there are two important questions to answer: (1) how to design the cost function and (2) how to find tractable optimization schemes when the mean shape is formulated as the solution to ... See full document

... In this paper, a dynamic model of Unified Power Flow Controller (UPFC) is developed to improve the power transfer capability (PTC) through the transmission line. Improvement of the bus voltages profiles along with the ... See full document

... with Fuzzy logic an idea which is easy to understand. Fuzzy logic provides an alternative way to represent linguistic and subjective attributes of the real world in ...of fuzzy ... See full document

... object recognition based on fuzzy ...of fuzzy reasoning is that the rule base should include observations of the important object’s de- ... See full document

... braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in ...ABS system. Georg.F.Mauer proposed ... See full document

... Yuehui Chen, Shuyan Jiang, and Ajith Abraham presented a theory on face recognition using DCT and hybrid flexible neural tree classification model. DCT has some fine properties i.e. de-correlation energy ... See full document

... Fuzzy logic is also called as fuzzy set theory, which was established in 1965 by Lofti Zadeh to combat the problems ...completely based on “de-gree of truth” rather than the values which is ... See full document

... Z fuzzy set as a method for representing un- adeh in 1965 [19] introduced the notion of ...certainty. Fuzzy set theory has become more and more mature in many fields such as fuzzy relation, ... See full document

... irrigation system like canals, wells and rainfall are time consuming and ...irrigation system, water, time and energy can be conserved. The system consists of a moisture sensor which will sense the ... See full document

... Pattern recognition system is regarded as a system, whose input is the information of the pattern to be recognized, and output is a class to which the entered pattern belong [1, ...pattern ... See full document

... employing fuzzy logic have been designed and simulated for this purpose [4, 5, and ...these fuzzy PID controllers are analyzed and guaranteed [4, 5, and ...of fuzzy PID ...the fuzzy PID ... See full document

... the fuzzy logic system, where the test data is adapted to the fuzzified value as per the fuzzy membership ...the fuzzy rules defined in the rule ... See full document

... The system consists of three steps. At the very outset some pre-processing has been applied on the input image and face features have been extracted from face images before applying the emotion ... See full document