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Energy generation from road vehicle

Electricity is the most necessary form of energy. We cannot even imagine our life without electricity. Consumption of electricity is increasing day by day. Nowadays most of the electricity is generated by conventional fossil fuels, eventually, the conventional power sources will get depleted by the next few decades. This paper is about to use nonconventional energy source for power generation. Here we generate energy by air compression. All the setup is placed under speed bumper when vehicle passing from speed bumper it generates electricity. The main benefit of this method is here we use wasted energy for power generation.

Published by: Shidore Gaurav Arun, Paithankar Swapnil Mangesh, Patil Rushikesh Ravindra, Manwatkar Shrikant Khanduji, Pratiksha P. Jawale

Author: Shidore Gaurav Arun

Paper ID: V5I3-1628

Paper Status: published

Published: May 30, 2019

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Research Paper

Virtual assistant based recommendation system

In the current commercial application, the e-commerce applications give the only recommendation of the particular tastes only when one is interested in a particular item. The recommendation is also very much related to the item the user is interested in. Though this system works well it lacks the personalized experience that the user can get when purchasing an item through an offline vendor. This can be achieved by aggregating the recommendation engine within a virtual assistant. In our proposed system the user will be getting the online e-commerce experience with a personalized buying assistance that one gets while buying through an offline retail vendor.

Published by: Darshan B. S., Ajay S., Akshatha C., Aishwarya V., Shilpa S. G.

Author: Darshan B. S.

Paper ID: V5I3-1569

Paper Status: published

Published: May 30, 2019

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Research Paper

Impact of fluoride in Bastar

It is well known that the excess fluoride intake is responsible for dental and skeleton fluorosis. Villages of Bastar block and bakawand block are badly affected with fluoride. The reason is that a high concentration of fluoride water used by villagers for drinking and cooking purpose where groundwater is the major source of drinking water, water with fluoride content more than 1.5ppm may cause fluorosis. In the present study randomly selected primary and middle schools of Bastar and bakawand block, where the highest percentage of dental fluorosis was seen in 7 to 14 yrs age group children and in some places crippling lower limbs also noted. Since Bastar has a dense forest, heavy rainfall occurs during the mansoon season. There are no chemical factories in the district and nearby districts. Pollution free rainwater can be stored in cisterns and reservoirs by rainwater harvesting. This water can use to dilute the fluoride concentration and water level to be maintained.

Published by: Priyanka Salhotra, V. Vijaylaxmi, K. Indira

Author: Priyanka Salhotra

Paper ID: V5I3-1533

Paper Status: published

Published: May 30, 2019

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Review Paper

Convolutional Neural Networks

The human brain is trained in such a way that it can automatically and instantly recognize multiple faces. But when it comes to the computer, it becomes very difficult to do all the challenging tasks on the level of the human brain. The face recognition is an integral part of biometrics. In biometrics, basic traits of human are matched to the existing data and facial features are extracted and implemented through algorithms. Numerous algorithms and techniques have been developed for improving the performance of face recognition. Deep learning is making crucial advances in solving problems that have restricted the best attempts of the artificial intelligence community for many years. Among one of the deep learning, approaches are Convolutional Neural networks (CNN).CNN is a kind of artificial neural networks that employ convolution methodology to extract the features from the input data to increase the number of features. The general structure of the face recognition process is of three stages. It starts with a pre-processing stage: color space conversion and resizing of images, continues with the extraction of facial features, and afterward extracted feature set is classified. In our system, Softmax Classifier is to realize the final stage that is classification on the basis of the facial features extracted from CNN

Published by: Mrunmayee Vaidya, Jigyasa Solanki, Sravani Wayangankar

Author: Mrunmayee Vaidya

Paper ID: V5I3-1675

Paper Status: published

Published: May 30, 2019

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Others

Brain tumor segmentation in MRI images

Among cerebrum tumors, gliomas territory unit the preeminent normal and forceful, bringing about a dreadfully short life in their most noteworthy evaluation. In this manner, treatment structuring might be a key stage to upgrade the nature of life of oncologic patients. Attractive Resonance Imaging (MRI) might be a widely utilized imaging procedure to evaluate these tumors. Anyway, the enormous amount of learning made by attractive reverberation imaging anticipates manual division in an entirely reasonable time, constraining the utilization of exact quantitative estimations inside the clinical apply. Along these lines, programmed and dependable division ways territory unit required; be that as it may, the enormous spatial and basic changeability among cerebrum tumors make programmed division a troublesome downside. In this paper, we will, in general, propose a programmed division technique dependent on Statistical Region Merging. To ensure the tumor segmentation based on the merging predicate of the neighborhood pixels to accurately determine the tumor. So effective results are achieved when compared to manual segmentation where the segmentation lacks accuracy.

Published by: Chand Basha, V. Punna Rao

Author: Chand Basha

Paper ID: V5I3-1689

Paper Status: published

Published: May 30, 2019

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Review Paper

Ergonomic analysis of bed for bedridden patient- An interdisciplinary overview

This review paper mainly focuses on ergonomics problem which is mainly related to bedridden patients and caretaker of those patients. A bed plays a key role in the patients' life, if ergonomically bed is not suitable for patients then he can't recover fast & also the person who takes care of the patient they go through some injuries or accident. Designing a healthcare facility without giving sufficient consideration to the users who will perform their activities in it may lead to dysfunctional workplace. Like assisted living facilities, nursing homes, outpatient clinics, as well as in home health care services, the design of hospital bed depends largely on users’ anthropometric characteristics to ensure comfort, safety, and productivity of health care service. In attempting to meet the patients’ needs, a survey paper was studied for many cases (patients and caregivers point of view) which aimed at proposing a new prototype to provide their needs.

Published by: Pawan Prakash Khebudkar, S. S. Shinde, Sandesh B. Sangale

Author: Pawan Prakash Khebudkar

Paper ID: V5I3-1649

Paper Status: published

Published: May 29, 2019

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