[PDF] Top 20 RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER

... low speed under forward and reverse operation of induction ...5 rules are generated from reduction rules method based on 3x3 membership ...The optimization of FLC MFs can ... See full document

... Apart from relying on the kernel size, Canny edge detector (CED) [6] uses additional approaches in order to improve the edge localization as well as able to detect edges that are low contrast and short. There are many ... See full document

... cost reduction, more time for innovation, elasticity and agility, big data analytics ...costs reduction , enhance profitability and less customer ... See full document

... motion speed has been maximum. But the speed magnitude of the motion participant herein is spontaneously affected with other participants negative ...to speed maximizing upon selecting motion ... See full document

... while applying HFPN on a large network, generalized variant of HFPN can be developed at a global level due to its hierarchical concept. having said that, the basic model will be given by the subnet of the Petri net ... See full document

... In the era of distributed real-world application various heterogeneous data exists which are identified as multi-label objects. These data might be from different domain such as, education, sports, multimedia, politics ... See full document

... Also in the architecture of the Deep Belief Networks in figure 6 we use the same input contain of 100 neurons image 10 by 10 as an inputs layer that represent as vector of zero and one a[r] ... See full document

... The result of this comparison can be seen in Fig 21. In Fig 21 we can see that both controller can maintenance the system to still at its set point, although the controller PID that obtained by using Z- N ... See full document

... And the socket class has more incoming external dependencies, since the brightness is represented by the number of references to the package classes in the body of the packet... Intensiv[r] ... See full document

... Whole literature survey presents either only test case generation or test case generation with optimization using any algorithm for finding optimal path. Although evolutionary algorithm have been widely used for ... See full document

... In addition, we have successfully converted the 2D signal images to 2D digital images based on edge detection of the tumor and detect the contour line of a brain tumor on 2D images using[r] ... See full document

... [22] Besides contributes to the tracing or traceability in the products or services process related to the supply chain, Technology management promotes the company to administrate in an [r] ... See full document

... of probabilities of states. The HMM is determined by matrices encoding the possible states (known as the state transition matrix) and the probabilities of observations (known as the emission matrix). The related research ... See full document

... 5226 It is necessary to perform a preprocessing step of image registration to align the picture elements of both the images. S.A.Raza et. al. [4] have proposed an algorithm for registration of visible light and thermal ... See full document

... To experiment the effect of the data set on the results, we have applied the best model we had on a new dataset espacially built to test the system. The tweets in the new dataset is quite different from the tweets used ... See full document

... By selecting the farthest nodes the intermediate nodes do not participate in the transmission of data and hence the problem of hidden and exposed terminal is minimized. Thus this method which uses the Greedy Routing ... See full document

... requesting functions are, the name of the object, the Boolean value True or False to specify whether the sphere must be visible or invisible, and the radius of the ... See full document

... Activity recognition techniques have been widely researched. Several machine-learning techniques are used in literature [8-22]. Almost of those research activities were focused on one-user activities and use emerging ... See full document

... The classification accuracy as measured by Aper values from logistic regression models and SVM models in training and testing data for all three datasets is presented in Table 13.. Follo[r] ... See full document

... Carpenter used the same SMO algorithm, but in different methodology, which based on hybrid of double and single precision arithmetic unlike [9] who used solely single precision. The result is better than [9] results, but ... See full document