Diseases in fruit cause major problem in agricultural industry and also causes economic loss.The diseases in fruits reduce the yield and also deteriorate the variety and its withdraw from the cultivation.So, earlier detection of symptoms of fruit disease is required.In this paper a solution for identification and classification of fruit diseases is proposed and experimentally validated.Ten diff...

This text proposes to overcome the wide-spread error of dismissing Marx’s critique all materialism before him as being reductionist and therefore philosophically scientifically unacceptable. Instead, it attempts create a non-reductionist understanding practice in philosophy — especially by referring key contributions Althusser Bhaskar criticizing ‘materialist illusion’ early Marx thereby articu...

Clustering is an unsupervised classification that aims to classify an image into homogeneous regions. We have proposed a hierarchical content based image clustering algorithm to automatically cluster the remote sensing satellite image. The performance evaluation of this algorithm is done with reference to the LISS 4 sensor imagery of IRS-P6 satellite. Centroid of the clusters is uniformly distr...

This position paper looks critically at a number of aspects of current research into spoken language translation (SLT) in the medical domain. We first discuss the user profile for medical SLT, criticizing designs which assume that the doctor will necessarily need or want to control the technology. If patients are to be users on an equal standing, more attention must be paid to usability issues....

Prevailing theory assumes that people enforce norms in order to pressure others to act in ways that they approve. Yet there are numerous examples of "unpopular norms" in which people compel each other to do things that they privately disapprove. While peer sanctioning suggests a ready explanation for why people conform to unpopular norms, it is harder to understand why they would enforce a norm...

In this paper, five clustering techniques (k-means, ISODATA, merging, splitting and mean shift techniques) used for colour image segmentation are presented. Two heuristic evaluation methods (cluster validity measure VM and quality function Q) are applied. We show that evaluation functions VM and Q can be very helpful in search of best segmentation results. The best results came from k-means, me...

Introduction: Recently, rate of journals and published article in the medical sciences has grown, but the quality of these journals and published articles should be criticized. Therefore, this study was conducted with the aim of criticizing quality of published studies in the qualitative research in health sciences journal based on the CASP scale. Methods: This study has been done with a cro...

INTRODUCTION We describe a teaching and training method with objective evaluation to improve medical engineering students' knowledge and analysis skills about Minimally Invasive Surgery (MIS) instrumentation and techniques through hands-on experience. Training has been scheduled during a three-month course. METHODS Twenty medical engineering students were trained to perform three times on a p...