G H Patel College Of Engineering & Technology

About: G H Patel College Of Engineering & Technology is a based out in . It is known for research contribution in the topics: Surface roughness & Routing protocol. The organization has 453 authors who have published 585 publications receiving 4477 citations.

A novel feature extraction for robust EMG pattern recognition.

Abstract: This paper presents the detailed evaluation and classification of Surface Electromyogram (SEMG) signals at different upper arm muscles for different operations. After acquiring the data from selected locations, interpretation of signals was done for the estimation of parameters using simulated algorithm. First, different types of arm operations were analysed; then statistical techniques were implemented for investigating muscle force relationships in terms of amplitude estimation. The classification (Artificial Neural Network) based results have been presented for detecting different pre-defined arm motions in order to discriminate SEMG signals. The outcome of research indicates that a neural network classifier performs best with an average classification rate of 92.50%. Finally, the result also inferred the operations which were observed to be easy for arm recognition and the study is a step forward to develop powerful, flexible and efficient prosthetic designs.

An assessment of the critical success factors for Six Sigma implementation in Indian industries

Abstract: Purpose – The purpose of this paper is to present the results from an empirical investigation of Six Sigma status in Indian industry, especially to highlight critical success factors (CSFs) of Six Sigma implementation in a developing economy like India.Design/methodology/approach – The study is based on survey questionnaire suitable for Indian industries. The results of the study are based on descriptive statistics.Findings – The results of this exploratory empirical study reflect the impact of different CSFs of Six Sigma implementation in different sizes and sectors of Indian industries.Research limitations/implications – The major constraints of the study were the number of companies surveyed as well as time and budget. Moreover, a detailed impact of different CSFs of Six Sigma implementation in Indian industry by means of semi‐structured interviews could not be executed due to above constraints.Originality/value – Very little research has been carried out exploring the status of CSFs of Six Sigma imple...

Revisiting the recent applications of nanofiltration in food processing industries: Progress and prognosis

Abstract: The use of nanofiltration (NF) in food processing industries has evolved from a novel approach into a reliable and techno-economically attractive standard unit operation. The lower operating pressures compared to reverse osmosis, and unique selectivity of the membranes render NF as a less energy-intensive and eco-friendly downstream operation. NF finds its applications in concentrating, fractionating and/or purifying various edible products from the dilute streams thereby enhancing process efficiency to a great extent. It can significantly reduce levels of dissolved solids, colors, organics, hardness, turbidity, divalent and multivalent ions and facilitate the required desalting of permeate streams. Food-processing industries dealing with fruit-juice, beverage, dairy, sugar, lactic acid, and vegetable oils successfully employ NF in a myriad of applications. It is also used in wastewater treatment, recovery of value added components and solvents from food waste, deacidification and nutritional enrichments of certain food products. The present paper reviews the recent status of NF technology in food industries along with its trends and future potentials in the production of high quality foodstuff. Effects of important physicochemical parameters on the permeate flux, solute rejection and product quality are briefly assessed and critically compared with pertinent literature. Fouling propensity of membranes and strategies for its mitigation are also highlighted with special reference to food processing industries.