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In present global scenario the competition among business organizations increases exponentially and hence they are forced to follow supply chain management. Customer satisfaction is the prime criteria to maintain the organization's profit in a supply chain. An important aspect of supply chain management is the supplier management. The supplier management includes supplier evaluation, selection and...
In this paper, we introduce a selective compression method to compress lung images. Generally Region of Interest (ROI) should be compressed in a lossless manner and Region of Background (ROB) should be compressed in a lossy manner with a lower quality. In existing system, Region of Interest (ROI) is selected manually. The proposed method is automated ROI based near Lossless compression, Tumor can...
This paper addresses optimization in cutting parameters to obtain minimum surface roughness using multiple metamodeling techniques like Design of Experiments (DOE), Response Surface Methodology (RSM) and Fuzzy inference system. The second order mathematical models in terms of machining parameters were developed for surface roughness prediction using RSM on the basis of experimental results. The model...
This paper presents pattern recognition of time series data and subsequent temporal data mining of power signal disturbance events that occur frequently in power distribution networks using multiresolution S-transform and Fuzzy Multilayer Perceptron network (Fuzzy MLP). The muliresolution S-transform yields relevant features, which are used in a Fuzzy expert system to separate the transient time series...
This paper details the design of a micro-controller based fuzzy logic controller for an agricultural Robot which can be used for ploughing, seeding and soil moisture sensing. The robots used in agriculture can reduce manpower and can be operated using remote controls from a distant place. In this work, an agricultural robot is designed with an internet based remote control using LABVIEW and its position...
Most of the neural networks in initial stage of enthusiasm, the field survived a period of frustration and disrepute. The reason for this is previous neuron doesn't do anything that conventional computers don't do already. Moreover they are observed to be too complex when noticed by humans as well as computers. Moreover we are furiously rising in fourth generation to increase the neural network standard...
This paper presents a transient stability improvement using neural-fuzzy controller design for STATCOM with static synchronous time critical error and better damping system oscillations after a short circuit fault. This article on a STATCOM Control for transient stability improvement has proposed a system to meet with the addition of Lyapunov stability criterion to the ability and conditions as well...
Image segmentationisan important process to extract information from complex medical images. Segmentation has wide application in medical field. The main objective of image segmentation is to partition an image into mutually exclusive and exhausted regions such that each region of interest is spatially contiguous and the pixels within the region are homogeneous with respect to a predefined criterion...
The aim of this paper is to design a fuzzy logic controller for the conical tank liquid level system. Control of liquid level in a conical tank is nonlinear due to the variation in the area of cross section of the tank system with its change in shape. The model of the process is identified using standard step response based system identification technique and it is approximated to be a first order...
This paper presents fuzzy controlled SMES for improvement of transient stability of power systems. The fuzzy logic controller for SMES have been developed for single machine connected to infinite bus (SMIB). Based on the transient stability investigations carried out on SMIB for diverse loading conditions and different critical fault clearing times, a comparison of performance of proportional type...
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