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Smart waste management system

India is the second most populated country in this world. Waste produced daily is huge due to this reason waste management has been an unsolved problem for many years in our country. As we step into digitalization and urbanization, we need to take a smart step to curb waste in our country. The system aims at contributing to the smart city by better managing the waste generated. It is one of the many solutions in dealing with the waste generated on daily basis using modern technologies. Major issues of waste management in our city are overfilled garbage bins, improper disposal of waste, and delayed cleaning process. The system addresses these issues using various sensors and other components controlled by RASPBERRY PI 3B+ which helps in detecting and notifying the authorities once the waste is discarded into the garbage bin. With the help of the developed system overfilled garbage bins can be resolved by real-time monitoring of the bins. It also specializes in dealing with improper waste disposal. Through continuous monitoring, the system updates the data to the cloud which can be accessed by the respective authorities and the private sector companies which are collaborated. The system majorly aims at managing waste by implementing modern technologies like Internet of Things and Embedded Systems. The model is a culmination of components like sensors, microcontrollers, motors, etc. The developed system also caters to global problems like pollution, land fillings, and foul smell. Finally, this paper finds a complete survey of solution for waste management problems and helps in keeping our city clean and provides hygienic environment to citizens.

Published by: Ankitha A., Ramya S M, Geetha B V, Supriya K V

Author: Ankitha A.

Paper ID: V7I4-1702

Paper Status: published

Published: August 10, 2021

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Research Paper

Psoriasis stages detection through image processing

Air Pollution can have numerous unfavorable impacts on the skin. In thickly populated regions, skin infections are more normal. These infections can effectively affect lives and make an extraordinary requirement for determination. This proposition centers around precise analysis utilizing picture handling. This strategy intends to identify skin infections by looking at the information picture. This includes separating the info picture to eliminate clamor and changing it over to grayscale. At last, picture division is performed. To diminish the information that should be prepared by the classifier, highlight extraction is utilized. To recognize skin illnesses, the SVM (Support Vector Machine), is utilized for picture grouping. Innovation has made it simpler to analyze and treat sickness rapidly. The proposed technique can recognize skin conditions, for example, rosacea and melanoma with a high precision speed of 89%

Published by: Prabaharan J, Srihari U., Sharath C, ThanujKumar V, Vishal S

Author: Prabaharan J

Paper ID: V7I4-1516

Paper Status: published

Published: August 10, 2021

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Research Paper

Progressive collapse analysis of steel frame structure in different earthquake zones

The progressive collapse of structures is initiated by the loss of one or more load-carrying members. As a result, the structure will seek alternate load paths to transfer the load to structural elements, which may or may not have been designed to resist the additional loads. Failure of overloaded structural elements will cause a further redistribution of loads, a process that may continue until stable equilibrium is reached. Equilibrium may be reached when a substantial part of the structure has already collapsed. The resulting overall damage may be disproportionate to the damage in the local region near the lost member. Loss of primary members and the ensuing progressive collapse are dynamic nonlinear processes.

Published by: Mohammed Aamair Ameen, Jitesh Jagannath Dhule

Author: Mohammed Aamair Ameen

Paper ID: V7I4-1740

Paper Status: published

Published: August 10, 2021

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Research Paper

A novel approach to acquiring communication through ‘LSRW’ skills

Language learning and communication are skill-building activities, which can be developed and acquired by doing…doing…doing a lot of practice. If we talk about language learning and communication, everyone should remember about the four key skills – Listening [L], Speaking [S], Reading [R] and Writing [W]. Without the acquisition of these major skills, it is impossible for anyone to be competent enough to converse in English with others.

Published by: Dr. S. R. Kannan

Author: Dr. S. R. Kannan

Paper ID: V7I4-1500

Paper Status: published

Published: August 10, 2021

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Review Paper

Object segregation using R-CNN

Computer vision is the science of computers and pack-age systems that can also recognize how images and scenes are perceived. PC Vision consists of a variety of solutions that include image recognition, object recognition, image generation, super-resolution of images, and much more. widely used in facial recognition, vehicle recognition, pedestrian counting, network mapping, security systems, and autonomous cars, but here we have a tendency to specialize in completely different sensible objects, those with different kinds of fruits, buttons, coins, etc. In this project, we use extremely correct object recognition algorithms and methods like RCNN, FastRCNN, FasterRCNN, Mobilnet, and fast but extremely correct methods like SSD. If we understand frameworks by using dependencies like TensorFlow, OpenCV, etc., we can recognize every single object in the image through the realm object in a highlighted area and determine every single object and assign its label to the object. This also includes the precision of every technique used to distinguish between objects.

Published by: Nihal Kumar Singh, Aakash Singh, Ashish Prasad, S. Usha

Author: Nihal Kumar Singh

Paper ID: V7I4-1511

Paper Status: published

Published: August 9, 2021

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Research Paper

A SEARCH FOR THE SOURCE AND ORIGIN OF WHITE PEBBLES/SILICA PEBBLES FOUND AT LONAR CRATER, BULDHANA DISTRICT, MAHARASHTRA, INDIA.

White pebbles of Silica origin, found in large quantities at Lonar Crater has been reported, though the source and origin of these pebbles as well as big boulders and basaltic rocks appearing white in color is not yet understood still. Research papers on Lonar Crater has not reported the abundance of pebbles and boulders present in Lonar Crater affected area, so far river pebbles and Lonar Crater pebbles exhibits similar in characteristics, physically and in chemical compositions, but boulders of big size are not found in any other water body or wetland water body. It has been reported through this paper of such big boulders and concluding that Lonar pebbles and big size boulders are not Lonar Crater origin. They have been transported by human activity and natural calamity. Boulders and pebbles may not be the evidence of meteorite impacted at Lonar Crater. They are not related to meteorite impact or volcanic eruption. They are not formed from the impacts of meteorites or volcanic eruptions.

Published by: Harishchandra Bala Mali, Raju D. Jadhav

Author: Harishchandra Bala Mali

Paper ID: V7I4-1672

Paper Status: published

Published: August 9, 2021

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