Seismic activity of overhead storage tank by fem analysis
The overhead water tank consists of a tank supported by a scaffolding system composed of columns, braces, and foundations. Overhead water storage tanks have generally performed well in seismic zones. Even so, a large number of tank collapses have been discovered during earthquakes from, as early as the San Francisco earthquake (1906) to the Bhuj earthquake (2001). The observed damage in recent earthquakes shows that it is necessary to choose new methods for transformation while designing the structures. In many earthquake-prone countries, water tanks are continuously being retrofitted or build with control devices to decrease caused stresses, displacements, and base shear during seismic activity. A good perceptive of the seismic behavior of these important structures is necessary in order to meet up safety objectives while containing construction and maintenance. In this paper, we studied circular and rectangular overhead water tanks with different water levels. The static and dynamic analyses of time history were performed on the tanks. The different cases depending on water levels as 0%, 25%, 50%, 75%, and 100% filled were studied. In this project base shear variation, time period for different mode shapes, time history for different earthquakes were calculated by using SAP2000.
Published by: Pooja Khairnar, P. J. Salunke, N. G. Gore
Author: Pooja Khairnar
Paper ID: V7I4-1612
Paper Status: published
Published: August 3, 2021
Tamper Detection of Social Media Images using CNN
Images are often manipulated with the intent and purpose of benefiting one party. images are often seen as evidence of a fact or reality, therefore, fake news or any form of publication that uses images that have been manipulated in such a way has the greater capability and potential to mislead. The web permits clients to process any type of digital media within seconds all over the globe. With expanding utilization of digital multimedia contents like pictures and video, the techniques for detecting the digital image forgery have also increased parallelly. people tamper with images to make the image look more pleasant for appearance but it is susceptible if one changed someone’s face within the image and misuses it. Hence this demands automatic tools for identifying the difference between authentic and tampered images. To detect such image falsification, a large amount of image data is required, and a model can process each pixel in the image. In addition, efficiency and flexibility in data training are also needed to support its use in everyday life. The concept of big data and deep learning is the perfect solution to this problem. Therefore, with an Error Level Analysis (ELA), Convolutional Neural Network (CNN)
Published by: Gaurav Shetty, G. S. Shrijitha, Shravika Nempe, Nandan N. K., Shwetha S. Shetty
Author: Gaurav Shetty
Paper ID: V7I4-1510
Paper Status: published
Published: August 3, 2021
The Grand Mosque of Herat, a symbol of Islamic art and architecture
Afghanistan has been at the crossroads of many human civilizations throughout its glorious history. The magnificent and great works and monuments developed and constructed through its many historical eras represent the skillful and artistic taste and power of thinking of the people inhabiting this glorious ancient land. The Grand Mosque of Herat demonstrates the peak of Islamic art and architecture. It is one of the most beautiful mosques in the region, reflecting the beauty and artistic skills of Islamic art and architecture. The Grand Mosque of Herat is a living testament to Islamic history and culture that has reached its perfection in this corner of Asia.
Published by: Zalmai Hotak
Author: Zalmai Hotak
Paper ID: V7I4-1355
Paper Status: published
Published: August 3, 2021
Investigation of ferrocement composite beam
Ferrocement is a thin, versatile construction material, with several unique properties and is suitable for a wide range of applications in Civil Engineering. Generally, concrete structures are designed for static loads but sometimes dynamic loads like blasts, etc. Prefabricated elements are used in the construction industry as an alternative system to overcome the formwork problems in addition to getting better quality control. The prefabricated elements made of reinforced concrete are extremely heavy and difficult to transport, placing in position, and construct. Because of its good structural performance and low-cost ferrocement is used in the construction industry. Ferrocement is suitable for the construction of roofing/floor elements, precast units, manhole covers, and the construction of domes, vaults, grid surfaces, and folded plates. So finding the flexural behavior of ferrocement is necessary. Therefore, the flexural strength is determined by varying the meshes in the U-section and varying the thickness of the beam. An experimental and finite element analysis on flexural behavior of ferrocement U-shape channel section reinforced with wire mesh with varying number of wire mesh layers is presented. A finite element analysis of the U-shape ferrocement channel was carried out. The finite element analysis (FEA) has been also used to model the ferrocement U-shape channel for various spans and thicknesses. Ferrocement U-shape channel with varies thickness and number of mesh layers analyzed in ANSYS.
Published by: Akash Bholenath Mune, Pallavi K. Pasnur
Author: Akash Bholenath Mune
Paper ID: V7I4-1614
Paper Status: published
Published: August 1, 2021
Forecasting air quality using Machine Learning techniques
Air pollution, in general, implies to discharge of impurities into the atmosphere which is harmful to human life and the in-universe. It has the potential to be the most destructive menace humanity has always faced. It gives problems to animals, birds, yield, crops, and forests among other things. To overcome the difficulty, machine learning techniques must be used to anticipate air quality from pollutants. As a result, forecasting the quality of air monitoring and prediction of it has been a significant study area. The actual objective is looking for machine learning-based solutions for forecasting air quality with the highest level of accuracy. The entire dataset will be analyzed using machine learning techniques to calculate large bits of data which are variable identification, univariate analysis, and multi- variate analysis, also bi-variate analysis, missing value treatments, and data validation, data cleaning/preparing, and visualization. Our paper offers a detailed guide to model parameter risk assessment in terms of performance in forecasting air quality pollution calculating prediction accuracy. For presenting a technique using machine learning for reliably predicting the Air Quality Index value by comparing various classifying machine learning methods and producing calculation results in the type of highest accuracy. In addition, the outputs of several machine learning methods from the provided datasets will be compared and discussed, along with an estimation of the user interface which is GUI-based for forecasting air quality using attributes present in the datasets.
Published by: Rajeena R. R., Dr. Usha S, Shalini.G, Sharanya B, Rekha S
Author: Rajeena R. R.
Paper ID: V7I4-1499
Paper Status: published
Published: July 31, 2021
Influence of social media marketing on sales revenue
Social Media these days is among the 'best accessible way' for a product or service to reach out to customers. Local social media sites are the strategy to associate socially. These new media creates confidence in clients by connecting with them at a more profound level. Social web-based promoting is the new mantra for a few producers and service providers since the early days. Advertisers are thinking about various web-based media potential outcomes and starting to apply new friendly tasks at a higher rate than any time in recent memory. Community online marketing and the companies that utilize it have become more sophisticated. One can't stand to have any presence on the social projects if the contender is making waves with its answers and things. Global organizations have distinguished web-based media advancement as a potential advancement framework, utilized them with upgrades to control their showcasing with web-based media advancement. This paper examines the thoughts of online media and web-based media advancement and different perspectives like the turn of events and benefits, viewpoint and significance of web-based media in advancement, web-based media advancement techniques. It's nothing but a framework-based web-media advancement in India.
Published by: Vaddi Jahnavitha, Nalla Aryan Reddy, Kanikapati Himakar
Author: Vaddi Jahnavitha
Paper ID: V7I4-1615
Paper Status: published
Published: July 31, 2021
