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Research Paper

Effectively developing a recommendation system by implementing collaborative filtering

Recommender structures are developed to predict a client's preferences and recommend items that are likely to be relevant to them. They are most likely the most complicated AI computations used by web businesses to assist with transactions. Collaborative filtering, for example, finds a group of users based on the goods they buy or provide comments on and then recommends popular items in the group. Using variables like Video ID, hate, likes, favourite count, description, and keyword, a video recommendation engine is employed on the YouTube dataset. The most popular online video community on the planet is YouTube. Users' likes and dislikes on the site are used to suggest groups of videos to them. Collaborative content filtering algorithms were used in the suggested system. Data can be collected in a variety of ways, such as downloading with certain categories, ensuring that the information is always up to date. Users will see the top five YouTube videos based on the experimental results.

Published by: Darshan C. M. Pawar, Arthi Sharma V., Syeda Fathima Zohra, Syeda Arbeena, Maqdum Shariff

Author: Darshan C. M. Pawar

Paper ID: V7I4-1188

Paper Status: published

Published: July 3, 2021

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Research Paper

Design of water supply treatment process for rural areas

Every aspect of life requires water. Safe drinking water is a basic human right and a prerequisite for improving global living conditions. A clean water supply is the bedrock of a strong economy, but it is woefully devalued globally. Nearly 1.5 million children die each year from water-related diseases around the world. The health of the inhabitants in rural areas has always been low and suppressed. A proper water supply tends to improve people's quality of life by increasing their usage of clean drinking water, reducing the prevalence of water-borne diseases, and increasing their productivity. A design of the water supply treatment process will prove to be beneficial for people in rural regions with careful planning, economic and financial evaluations along with effective design, operation, storage, and distribution facilities provided.

Published by: Falguni Dachewar, Dr. Harshal Warade

Author: Falguni Dachewar

Paper ID: V7I4-1184

Paper Status: published

Published: July 3, 2021

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Research Paper

Cold mix technology using granite waste and rubber waste in road construction

Hot Mix Asphalt is used as a paving mix for many decades in road construction. In India, 90 percent of roads are constructed by bituminous pavements only. Certain Imitations associated with hot mix asphalt using are Re emission of greenhouse gases from hot mix plant, that down of plants during the rainy season, problems in maintaining the paving temperature when hauling stances are more, There for to overcome the disadvantages of hot mix asphalt there is an increasing trend for using cold mix design with bitumen emulsion all over the world because of several advantages such as elimination of heating of hinder and aggregate while producing mixes, this helps in protection of the environment and energy conservation.

Published by: Shreyas Anil Patane, Gavrav Pandurang Bavdhane, Dhiraj Pradip Joshi, Omkar Sunil Chavan, Sanika Kandalekar

Author: Shreyas Anil Patane

Paper ID: V7I4-1183

Paper Status: published

Published: July 3, 2021

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Research Paper

Improving the accuracy of Neural Networks through Ensemble Techniques

Neural networks usually suffer from model performance problems due to high variance. Ensemble techniques refer to the method of combining multiple models resulting in improving the overall performance of the model. The overall performance can be improved by combining the predictions from multiple models having a good accuracy instead of highly tuning the models, to reduce the variance of predictions and reduce the error due to generalization. In this paper, the different types of ensemble techniques such as stacking ensemble, horizontal voting, and weight average ensemble are being discussed which can be used to improve the model accuracy. The numerous disadvantages of hyperparameter tuning like the wrong choice of parameters, overfitting, and other inefficient optimizing strategies can be overcome using ensemble techniques. The ensemble techniques have numerous advantages such as improving the model performances, reduction of model variance, and so on. Accuracy is improved because results are obtained using the mean predictions of the number of sub-models and the performance is improved with the learning weights of each of the models.

Published by: Monalika Padma Reddy, Deeksha A.

Author: Monalika Padma Reddy

Paper ID: V7I4-1174

Paper Status: published

Published: July 2, 2021

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Research Paper

Study on thermal conductivity of fiber-reinforced light weight concrete using natural fibers

Lightweight concrete has lower thermal conductivity and a lower coefficient of thermal expansion. This project aims to develop Eco-friendly thermally insulated lightweight concrete by using fibers. Hemp and sisal are natural fibers that play a major role in the reduction of thermal conductivity. Vermiculite is a naturally available material that can be used for lightweight concrete furthermore provides good thermal insulation. Reducing the thermal conductivity by adding fibers in different proportions (1%,1.5%,2%) in concrete where Vermiculite is partially replaced with fine aggregate and Fly ash is partially replaced with cement in which shows a reduction in thermal conductivity and also it can be used for lightweight concrete. The thermal conductivity of the concrete is tested for different mix proportions. Then the mechanical property and durability of the concrete are tested for different proportions. The thermal conductivity of the fiber-reinforced lightweight concrete is tested and the results show that when the amount of fiber increased the thermal conductivity is low. Thus, the low thermal conductivity is obtained by natural fibers. The mechanical strength of the different proportions of mixes are carried out and results show that the increase in fiber reduces the strength. The plate and wall panel are analyzed in Abaqus for the control mix and low thermal conductivity fiber-reinforced lightweight concrete mix which gives the minimum thermal conductivity and appropriate strength. The results from these experiments are found out that the natural fibers and vermiculite can be a good solution for thermally insulated Eco-friendly building construction

Published by: Shiva Shankari N., Nithyapriya K.

Author: Shiva Shankari N.

Paper ID: V7I4-1169

Paper Status: published

Published: July 2, 2021

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Review Paper

Dielectric Resonator Oscillator

This paper describes the detailed theory of design of DRO. The design parameters of the Dielectric resonator oscillator (DRO) and the different techniques used to design DRO are illustrated. The use of a negative resistance amplifier (NRC) and the dielectric resonator in the design of DRO are explained.

Published by: Manisha B., Dr. K. Sreelakshmi, Ranjit Kumar Dora

Author: Manisha B.

Paper ID: V7I4-1154

Paper Status: published

Published: July 2, 2021

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