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
Designing, deploying and managing cloud-native applications effectively using Docker, Jenkins, and Kubernetes.
From storing and retrieving information in databases online to delivering various services such as servers, and computing resources over the internet, cloud computing has brought tremendous advancements in the technological world. One of the major sectors of cloud computing is application development. A wide variety of applications are being developed which offer services for almost every working industry globally. Several debates and discussions have arisen on designing the application in the best way possible. Extensive research studies were done using various parameters such as resource usage, storage, efficiency to determine the most optimal method. Cloud-enabled applications were the primary type developed, followed by cloud-based applications. However, the demand for lightweight and flexible applications designed at the least cost possible rendered these approaches obsolete. That is where the cloud-native model came into the picture. This paper explores the model and presents how it is used to design, deploy, and manage cloud-native applications, including discussing the model's core elements and implementing them in making the application.
Published by: Jyothi Koushik Paladugu
Author: Jyothi Koushik Paladugu
Paper ID: V7I4-1586
Paper Status: published
Published: July 31, 2021
A study on the present status and performance of micro, small and medium enterprises in India
Micro, small and medium enterprises are playing a pivotal role in the development of the Indian Economy. MSME is an important sector in the Indian economy because of its enormous contribution to the socio-economic progress of the country. This sector is considered the backbone of the country. Micro, small and medium enterprises contribute about 30% of the country’s gross domestic product (GDP) and 45% of the manufacturing output. MSMEs stand next to the agriculture sector in providing employment opportunities in the country. Approximately 110 million people are occupied in the MSME sector in India. MSMEs are an integral part of the supply chain and contribute about 45% of the overall exports made from India. MSMEs produce and manufacture a variety of products for both domestic as well as international markets. MSMEs are connected with the rural economy because more than half of the MSMEs operate in rural India. MSME sector is dominated by micro-enterprises. India has 6.33 crore MSMEs out of which 6.30 crore — 99.4 percent are micro-enterprises while 0.52 percent — 3.31 lakh are medium and 0.007 percent — 5,000 are medium enterprises. This paper attempts to study the present status, performance of MSMEs in India, and the support provided by the Government for the promotion and development of MSMEs in India.
Published by: Vishwanath S. Pujari, Jyoti Savanur, Rashmi Mahendrakar
Author: Vishwanath S. Pujari
Paper ID: V7I4-1517
Paper Status: published
Published: July 31, 2021
Microfinance -Succeed in influencing unbanked area
India’s limited success at drawing the unbanked into the formal economy reflects the challenges of drafting public policies that address complex, enduring societal problems like poverty, income inequalities, beneficiaries far away from financial services including Govt. schemes benefits, low level of financial literacy., etc. The vision of RBI Financial Inclusion Plans(FIPs) is providing universal access to banking services and improving the forms of credit delivery, especially for the weaker sections. The successful financial inclusion plan is Business Correspondents are employed to cover unbanked villages through branches. The microfinance sector is the heart core function of financial services in the non-banking finance industry(NBFI) with the coverage of weaker sections of the population which are neglected by bankers in the banking industry. The microfinance sector has grown rapidly over the past few decades and currently, it is serving around 102 million accounts (including banks and small finance banks) of the poor population of India. MFIs are financial companies that provide small loans to people who do not have any access to banking facilities.
Published by: Kumaraswamy Manepalli, Dr. M. Ram Kumar
Author: Kumaraswamy Manepalli
Paper ID: V7I4-1608
Paper Status: published
Published: July 31, 2021
