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Review Paper

Review on vision based fire flame detection

The break-out of a fire should be determined rapidly in order to prevent material damage and human casualties. Traditional low-level feature-based methods have a high rate of false alarms and have low detection accuracy. To overcome these issues, deep learning models for fire detection at early stages during surveillance are used. Smaller convolutional kernels and fully connected layers of the deep learning models help to do classification effectively by reducing the computational requirements.

Published by: Prasobh John, Nisha C. A.

Author: Prasobh John

Paper ID: V6I3-1198

Paper Status: published

Published: May 15, 2020

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Review Paper

A review – To treat the solid waste or organic waste by using anaerobic digestion process

Abstract Biogas is very essential and beneficial gas. Biogas is to be produced from raw material like vegetable waste, fruits waste by break down of organic waste in the absence of oxygen to generate methane and carbon dioxide. Biogas is a mixture of methane, carbon dioxide (CO2), H2S, and other gases. For the generation of biogas active digestion process is to be used. Energy or biofuel generation from organic waste is economical and easy. Generally in rural areas biogas is to be generated. The generation of vegetable waste is increasing day by day from every household. Vegetable waste can be used for the bio methanation process which is anaerobic digestion using biogas plant. The biogas plant is a simple technique to produce methane. The biogas is a nonconventional source called gobar gas. In rural India, the daily waste obtained from animals is still used as raw material for biogas plants called “Gobar Gas” daily. Anaerobic treatment systems are divided into 'high-rate' systems with biomass retention and 'low-rate' systems without biomass retention.

Published by: Adarsh Kudkelwar, Hitesh Urkude, Akash Parate, Kaveri Raut, Sonu Chichghare, Nilesh Pal

Author: Adarsh Kudkelwar

Paper ID: V6I3-1164

Paper Status: published

Published: May 15, 2020

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Research Paper

Detecting breast cancer using Neural Networks

The goal of this paper is to detect the breast cancer using neural networks. Image processing techniques play an important role in the diagnostics and detection of diseases and monitoring the patients having these diseases. Breast Cancer detection of medical images is one of the most important elements of this field. Because of low contrast and ambiguous the structure of the tumor cells in breast images, it is still a challenging task to automatically segment the breast tumors. Our method presents an innovative approach to the diagnosis of breast tumor incorporates with some noise removal functions, followed by improvement features and gain better characteristics of medical images for a right diagnosis using balance contrast enhancement techniques (BCET). The results of second stage is subjected to image segmentation using Fuzzy c-Means (FCM) clustering method and Thresholding method to segment the out boundaries of the breast and to locate the Breast Tumor boundaries (shape, area, spatial sizes, etc.) in the images. The third stage feature extraction using Discrete Wavelet Transform (DWT). Finally the artificial neural network will be used to classify the stage of Breast Tumor that is benign, malignant or normal. The early detection of Breast tumor will improves the chances of survival for the patient. Probabilistic Neural Network (PNN) with radial basis function will be employed to implement an automated breast tumor classification.

Published by: Gourav Chakraborty, Suman Das, Tannistha Sarkar, Souvik Kar, Sangita Roy, Dr. Saradindu Panda

Author: Gourav Chakraborty

Paper ID: V6I3-1215

Paper Status: withdrawn

Submitted: May 15, 2020

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Research Paper

Smart Spectacles

This paper proposes a method at developing a complete system in which Text can be converted to Speech, Text file can be converted to Speech, Text in various Languages can be converted to Speech, Image can be converted to Text and Image can be converted to Speech using PYTHON as a programming tool. The Motivation behind developing this system is to combine various modules using modular approach in order to get a simple yet effective way for differentially abled people to interact with others and thereby making the society better

Published by: Sai Sanketh Kulkarni, Sunnam Rajeev Sharma, Y. Manish Reddy, Boddhana Chandra Shekar, P. Rajesh

Author: Sai Sanketh Kulkarni

Paper ID: V6I3-1175

Paper Status: published

Published: May 15, 2020

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Research Paper

Nutrition – The key element in treatment of pressure ulcer

Pressure ulcer healing is a complex process and remains a major healthcare problem despite the advances in the field of medicine. Inadequate dietary intake has been identified as a key risk factor for both the development and healing of pressure ulcers. It is very much essential to make sure the consumption of adequate calories, protein, fluids, vitamins, and minerals that supports the healing process. The inclusion of a variety of foods from five food groups will help in preventing /treating pressure ulcers. This article is focused on adult nutrition needs including hydration to avoid or treat pressure ulcers.

Published by: Manimegalai B., S. Ramesh

Author: Manimegalai B.

Paper ID: V6I3-1202

Paper Status: published

Published: May 15, 2020

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Research Paper

LabVIEW controlled antenna positioner

An antenna rotator is a device used to change the orientation, within the horizontal plane, of a directional antenna. Most antenna rotators have two parts, the rotator unit, and the controller. The most commonly available antenna positioners are commercial rotators and sometimes some rotators are even complex to design and operate. Typically, Antenna Positioners are used to align larger antennas such as those used in Satellite Ground Stations to a fixed position. In contrast, Antenna Rotators and Antenna Rotating & Positioning Equipment are used for positioning of UHF/VHF communication antennas. The proposed design includes an azimuthal and elevation angle rotation system and is also capable of moving up to the accuracy of 1.8 to 0.9 degrees per step. The design also includes a user interface that is useful for easy control of the antenna positioner. NSI-MI Technologies rotary positioners are engineered to provide the optimum balance of outstanding performance, maximum power-density, and excellent application flexibility. In the center of the reference picture, the accompanying image includes an Az-El installation rotator, so named for its controlling of both the azimuth and the elevation components of the direction of an antenna system or array. Such antenna configurations are used in, for example, amateur-radio satellite or moon-bounce communications. ARA offers an ever-expanding line of positioning systems designed to satisfy the most demanding applications, including integrated antenna systems and RF systems. ARA positioning systems have been used successfully in both military and civilian systems and are successfully installed in ground-based, shipboard and airborne applications. The current rotator or positioner design aims to make use of lightweight payloads. In HAM radio applications, generally small weight antennas such as Yagi antennas, stacked Yagi antennas, antenna arrays, testing of microstrip antennas, and some RF chamber applications. This small-scale antenna positioner can be used for both indoor and outdoor applications. The indoor applications may like testing od antenna in the RF chambers and the outdoor applications involve satellite communications, weather image tracking, etc., and these outdoor applications are the most important in all.

Published by: B. Maniratnam Naik, B. Sai Karthik, D. Anil Kumar Yadav, P. David Raju, U. Gnaneshwara Chary

Author: B. Maniratnam Naik

Paper ID: V6I3-1196

Paper Status: published

Published: May 15, 2020

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