A novel vibration based non-destructive testing for predicting glass fibre/matrix volume fraction in composites using a neural network model

This study proposes a novel approach to determine the fibre volume fraction in composites using vibration based non-destructive technique with a neural network. Currently, the volume fraction of a glass fibre/matrix based composite material is assessed using destructive techniques. Instead of changing or destroying the structure, a new non-destructive approach based on vibration analysis is proposed. Complete experimental protocols were developed to capture the vibration pattern. An auto-regressive model was developed as a feature extraction tool to classify the fibre volume fractions and as a pole tracking algorithm. The classification performances were within the range of 90-98%. For NDT method to be efficient, the classification results were then compared with destructive burn-out technique. The results of non-destructive test showed good agreement with those obtained through destructive test suggesting that the proposed method is an alternative to ASTM D2584-11 for determining the volume fraction of a glass fibre/matrix composite. (C) 2016 Elsevier Ltd. All rights reserved

Apple Fruit Quality Identification using Clustering

An apples a day keeps doctor away" this proverb gives us important of apple in our healthy life. Apples fruit is consist of plenty of nutrition's therefore, doctors are always prefer to advice to eat the apple in most of the diseases. Hence, there is a huge demand of apples in market. To fulfill this demands suppliers need to provide the good quality fruit. There is a need of quality fruits in market. In this work studied various types of apples quality by using clustering approach. Comparative analysis is performed and given results are much better as compare to earlier work

An investigation into the sustainable actions of micro and small businesses

Although much is written about the approach of larger companies towards their environmental responsibilities, there is much less concerning smaller companies. This gap in research is particularly apparent within micro businesses. If the sustainability actions of a business are related to the perceived drivers and barriers of the leader, then this should be even more apparent in very small companies where the leader is closer to the firm. This paper contributes by investigating the current sustainability behaviours of micro and small businesses, with a specific emphasis on the drivers and barriers of their environmental activity. In order to achieve this, an empirical, cross-sectional study was carried out using a mixed methods approach in partnership with the UK-based Federation of Small Businesses (FSB). The results find a surprising number of eco-friendly activities carried out by micro and small business with a strong desire for support to overcome resource and capability barriers