Karali Patra

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The Gaussian kernel has almost exclusively been used as the basis function of the cluster centers (hidden layer nodes) of a radial basis function network (RBFN) in most of its applications, especially in tool condition monitoring (TCM) problems. This study explores the possible usage of a set of five other basis functions in addition to the standard(More)
In this paper, a novel and robust algorithm for avoiding obstacles in an unknown environment is proposed that utilises the geometrical analysis of the distances present in the images. A mobile camera with pan feature is used for increasing the field of view of the robot. Low level image properties (red green blue colour; hue saturation value colour and(More)
This paper presents a design of star shaped fractal antenna for wireless applications. The FR4 glass epoxy substrate is used to design the antenna with relative permittivity 4.4 and thickness 1.6mm. Different parameters of antenna such as return loss, gain, VSWR and bandwidth have been analyzed at the resonant frequency of 5GHz. The -10dB impedance(More)
Tool condition monitoring is one of the key issues in mechanical micromachining for efficient manufacturing of the micro-parts in several industries. In the present study, a tool condition monitoring system for micro-drilling is developed using a tri-axial accelerometer, a data acquisition and signal processing module and an artificial neural network.(More)
In this paper, a prototype of an externally-powered electrically controlled hand prosthesis has been developed. The mechanical structure of the prosthesis has been designed and fabricated. The control system of such prosthesis has also been developed. The control system requires accurate information on the prostheses structure and the surrounding(More)
In order to achieve high quality and productivity in microdrilling, monitoring of the prefailure phase and detection of tool breakage is very important. In the present work, vibration signals have been studied during micro drilling operations to monitor the prefailure phase of the micro-drills. These signals have been processed in time domain and(More)
The most important factor that governs the performance of a radial basis function network (RBFN) is the optimization of the network architecture, i.e. determining the exact number of radial basis functions (RBFs) in the hidden layer that can best minimize the error between the actual and network outputs. This work presents a genetic algorithm (GA) based(More)