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Performance of geopolymer coarse aggregate in 50% replacement with natural coarse aggregate using iron ore tailings

Concrete contributes a very important role in the construction sector. Aggregates are the basic ingredients in concrete which will contribute about 60-70% of the total composition. Due to the highest demand for aggregates, it has resulted in over-exploitation of natural resources, hence it is very important to use alternative material. As we know fly ash and IOT are the largest wastes that have been producing in all over India and these are the best suitable alternative materials. In Karnataka state, Kudremukh iron ore company (KIOCL) produce a large amount of IoT waste and was deposited in the Lakya dam. The present study in undertaken to determine the fly ash and IOT characteristics using XRD and SEM analysis and also to determine the strength and durability of concrete made up of geopolymer coarse aggregate for M40 grade of concrete. The cubes of size 75x75x75 are prepared by mixing IoT and fly ash in proportion 70:30 respectively with varying molarity of alkaline activator as 4M, 6M, 8M, 10M & 12M. These cubes are crushed to obtain Geopolymer coarse aggregates and these aggregates are used in RCC structures to check the mechanical behavior and workability of concrete.

Published by: Suchetha R. Murthy, Shiva Kumar G.

Author: Suchetha R. Murthy

Paper ID: V7I3-2233

Paper Status: published

Published: June 30, 2021

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Research Paper

TDA layer: Impact of persistent homology on the performance of Convolutional Neural Networks

In this work, we introduce the topological data analysis layer that estimates persistent homology on attributes extracted from convolutional layers for image classification. This method shows that topological information can be utilized to upgrade network performance. This work focuses on applying persistent images on the deep convolutional layer to learn topological features and also exploring the behavior of topological data analysis on various convolutional neural network architectures like sequential architecture and extended width architecture. Based on our empirical analysis, we exhibit the significance of topological data analysis on convolutional neural networks by attaining reliable scores on classification tasks on benchmark datasets.

Published by: Kavin Kumar D., Vinuraj Koliyat, Ramasamy Seenivasagan, Sudarshan Subbaiyan, Sounder Matheshwaran

Author: Kavin Kumar D.

Paper ID: V7I3-2228

Paper Status: published

Published: June 30, 2021

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Research Paper

AI Body Language Decoder using MediaPipe and Python

Body language are visual languages produced by the movement of the hands, face and body. In this project we evaluate representations based on skeleton poses, as these are explainable, person-independent, privacy-preserving, low-Dimentional representations. Basically skeletal representations generalize over an individual’s appearance and background, allowing us to focus on the recognition of motion. We present a real-time on-device body tracking pipeline that predicts hand skeleton and the whole body notion. It is implemented via MediaPipe, a framework for building cross-platform ML solutions. We perform using pose estimation systems and analyze the applicability of the estimation systems to body language recognition by evaluating failure cases of the existing models. The proposed system and architecture demonstrates real-time inference and high prediction quality.

Published by: Sankeerthana Rajan Karem, Sai Prathyusha Kanisetti, Dr. K. Soumya, J. Sri Gayathri Seelamanthula, Madhurima kalivarapu

Author: Sankeerthana Rajan Karem

Paper ID: V7I3-2223

Paper Status: published

Published: June 30, 2021

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Research Paper

The future of space robots

Space robots have been a significant medium for scientists to further advance their knowledge of space. These robots have enabled remarkable progress in the field of space exploration and have continuously helped in fulfilling the growing curiosity of humans. The Hubble Space Telescope, a legendary scientific instrument has taken pictures of our vast universe, bringing back to us the early moments of the creation of the universe and widening the horizons of our knowledge about the cosmos. The Giotto Spacecraft has enabled scientists to venture into interplanetary space and learn more about the comets and their true nature. Many such wonders of technology have done miracles in space and the bright future of these robots seems to be waiting for us to test our capability and hence design more advanced robots capable of withstanding harsh conditions experienced in space, being more resourceful than humans, having a brain of its own using the emerging technology of artificial intelligence which will make these robots capable of comprehending and analyzing data and sending it to us the most formulated form. This concise data can be used to derive inferences and conclusions which will lead to our better understanding of the extent of the universe and our place in it. This paper provides an overview of space robotics mentioning in detail its evolution and its future scope as well as covering its advantages.

Published by: Reva Agrawal

Author: Reva Agrawal

Paper ID: V7I3-2141

Paper Status: published

Published: June 30, 2021

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Research Paper

Hotel management system using Raspberry Pi

In this Era, Automation plays a very important role in different fields. Automation is becoming more and more popular day by day due to its various advantages. The development in the embedded system has proved to a reliable solution in monitoring and controlling the environment monitoring system. This can be achieved by local networking or through remote control or through mobile. The Raspberry pi is a single-board computer that has recently more popular. It has powerful hardware and also upgraded power system with 4 USB ports. So we are using the Raspberry pi for controlling the environment of the Hotel. The hotel management system is a web-based application that allows the customer to order the food from its remote location which is in the hotel itself.

Published by: Jyoti Sanjay Shinde, Vaishnavi Sanjay Korape, Pooja Ramchandra Shelake, Mahesh S. Mathpati

Author: Jyoti Sanjay Shinde

Paper ID: V7I3-2059

Paper Status: published

Published: June 30, 2021

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Research Paper

Investigation on the diffusion of chlorides into concrete

This paper discusses Rapid Chloride Permeability Test investigations on the penetration of chloride ions into the concrete. Concrete samples of M40 and M50 Grades have been tested. The concrete specimens are made using standard molds of 100mm diameter x 50mm height. After curing the concrete samples are experimented. Specimens were cast and tested for 28 days. One chamber is filled with sodium chloride (NaCl) and another sodium hydroxide solution is filled. The strength of sodium chloride solution is varied from 1000ppm-35000ppm and the strength of sodium hydroxide solution are 0.04N. For all the combinations, RCPT was carried out and the charge passed through the specimens was noted. The Rapid Chloride Permeability Test values are found, the penetration charge through the concrete decreased with an increase in the grade of concrete.

Published by: Sandesh N. S., Sudeep Y. H.

Author: Sandesh N. S.

Paper ID: V7I3-2219

Paper Status: published

Published: June 30, 2021

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