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Recent Papers

Calibration of Bone Mineral Density Using Artificial Neural Network

Osteoporosis is one of major disease that may lead to bone fracture. when the Bone Mineral Density lows, resulting in osteoporosis. DEXA is the basic tool to analyze the Bone Mineral Density Value,which is high in cost and not available in all hospitals. So, here we consider Electromyography(EMG) signal in order to predict the BMD value. Feed Forward Network classifier is used to train and test the data.

Published by: Aruna .M

Author: Aruna .M

Paper ID: V3I3-1400

Paper Status: published

Published: June 1, 2017

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Software Agent Modelling Of Web Application

Businesses are becoming automated nowadays, with almost every business getting an online representation in the form of Web Application. The different kinds of businesses require dynamic nature of Web Applications which require less dependency on a human controlled software interface. With the applications catering to the needs of hundreds to thousands of users simultaneously, it’s hard to manage such kind of applications using a combination of human interface. This particular need has led to the study and research in the field of software agents or intelligent agents, which use some kind of intelligence to aid the various operations of the application in use. Several studies and research has been made in this area which has resulted into development of some high quality software applications over the web, which boast to have complete functionality driven by these intelligent agents and require minimum to no human interference. In this research work, software modelling of Web applications using intelligent agents has been envisaged. The various fundamentals of agent research has been discussed in detail with special heed to implementation framework. Finally, an agent based model has been developed using the latest tools and techniques. This research work provides comprehensive analysis and implementation of an agent based software application.

Published by: Arti Verma, Yogendra Singh

Author: Arti Verma

Paper ID: V3I3-1440

Paper Status: published

Published: May 31, 2017

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Smart Vehicle

Automobile is probably the one which has significantly changed human life. In the last two decades it spread drastically in every level of society hence, safety becomes the main concern. Road Accidents account a severe threat to the lives in both ways physically as well as financially. even after digital control of the vehicle. Many people lost their life every year in vehicle collision .We have developed a device which will automatically activate the safety switches on stipulated time before unusual situation. The aim of this project is to build a cost effective Adaptive Front Lighting System with automatic turn indicator, with fog sensors and solar powered batteries for more efficient and reliable power source, that will help achieve enhance safety, comfort and reliability. The new design and build can fit into an existing fixed headlamp with a very close eye on cost and reliability. Use of existing headlamps will also allow the AFLS addition to maintain the vehicle’s conformity to existing vehicle aesthetics as well as government regulation.

Published by: Avinash Gupta, Ashish Yadav, Yash Vardhan Gaur

Author: Avinash Gupta

Paper ID: V3I3-1419

Paper Status: published

Published: May 31, 2017

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Improved Learning for Special Ones Using Image Mapping

Hearing Impaired students have always have had issues when it comes to quality education. Same education is not provided to normal students and hearing impaired students. Due to this, they do not have equal opportunities as compared to normal students and they are always having an inferiority complex. This is because there is a vast gap between hearing impaired students and normal students. We designed a system that enables the same education curriculum to be used for both normal and special students. With some elementary techniques such as text mining and image mapping, we designed a system that will translate text entered in that system to images so that a visual representation can be obtained for better understanding.

Published by: Poorva Awale, Gaurav Bhosale, Vishakha Panchal, Prof.Suhas M. Patil, Shubham Kumbhar, Atish Kulkarni

Author: Poorva Awale

Paper ID: V3I3-1256

Paper Status: published

Published: May 31, 2017

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Face Recognition To Handle Facial Expression, Occlusions And Posture Variation

In this paper, we present a framework for analyzing faces, with the specific goals of matching, comparing, and averaging their shapes. Here we handle variations of facial expression, pose variations, and occlusions between a gallery and probe scans. The radial curves are drawn from the nose tips and filled to the occluded part to form the shape of full facial surfaces. This representation seems natural for measuring facial deformations and is robust to challenges such as large facial expressions, large pose variations, missing parts, and partial occlusions due to glasses, hair, and so on. In this, we consider ORL data set for handling different types of challenges, like SVD is used to the estimation of missing facial parts. Here we using MATLAB for implementing our project.

Published by: Bharti Khemani, Dr. Archana Patankar

Author: Bharti Khemani

Paper ID: V3I3-1301

Paper Status: published

Published: May 31, 2017

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Classification of Land and Marine Resources Using SVM Classifier

In the last several years, there have been significant decrease in ecosystem marine and terrestrial resources. Therefore the conservation and management of these natural resources are very essential aspect for the present and for future generation. The main objective of the paper is to build and develop the advanced image processing methods applied to remote sensing images for the marine and land resources conservation. Different image processing techniques have been implemented in preprocessing stage in order to acquire high resolution satellite imagery. The paper in mainly focused on three ecosystems from the canary islands where, after different evaluation and extensive analysis are made. Pansharpening process is used to enhance the image quality, then, a different RPC models have been used to perform the orthorectification and finally, advanced techniques have been used for atmospheric correction. The final procedure is to develop the marine and terrestrial product map using advanced classification techniques for the management of marine and natural resources.

Published by: Raghunatha .M, Prof. Shobha .S

Author: Raghunatha .M

Paper ID: V3I3-1345

Paper Status: published

Published: May 31, 2017

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