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Home Automation with voice control

The Internet of Things (IoT) is a WorldWide network of smart objects. A smart home solution that allows users to specify and centrally control the Internet of Things smart objects. It also provides a user interface to graphically illustrate the data received from smart objects. A typical smart home is composed of several SOs that communicate with a central application. Basic aim is to control or monitor signals from different appliances, or basic services. To make devices to be user friendly, rather than searching for electronic deviceto give commands.

Published by: S. Saravanakumar, G. Vijay, C. Piramuthu Raja, T. S. Arun Samuel

Author: S. Saravanakumar

Paper ID: V6I2-1361

Paper Status: published

Published: April 18, 2020

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Research Paper

Precision farming using embedded systems and machine learning

Agriculture plays one of the major roles in the occupation of India and machine learning is a growing field in agricultural analysis. Choosing a particular crop is an extremely important issue during agriculture. Any farmer is curious about getting the recommendation of the crop he should grow. The common problem existing among Indian farmers is they don’t choose right crop supported their soil requirements. Because of this they face big set back in productivity and leads to a loss in income. Also monitoring weather is a crucial part of precision agriculture. A farmer cant fight with the weather. However, he can accept the given situation and take additional farm management practices to attenuate crop losses and take precautions beforehand. Therefore accurate information regarding weather is vital in order that farm activities are often planned without adverse events. Being conscious of real-time weather is best thanks to protecting crops and a secure high and healthy yield. In this paper, this problem is solved by proposing a crop recommendation system using a Machine learning algorithm and getting real-time data of weather using wireless sensors in one system will be really beneficial for the farmers.

Published by: Smit Master, Sachin Kundar, Rahul Gandhi

Author: Smit Master

Paper ID: V6I2-1397

Paper Status: published

Published: April 15, 2020

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Survey Report

A survey on operating systems, LFS and BLFS

Recently, government organizations, specialists have been attracted to the movement of open-source software and on top of them, the Linux open-source and free operating system has caught the most attention. So much so that in this movement even the biggest companies like Google, Oracle have stepped forward and are developing open-source software, particularly Linux. This paper states the stepwise development of a Linux based operating system with the Linux from Scratch (LFS) method. First, we take a look at different operating systems, and the need to develop another Linux-based system. The advantages and disadvantages of these operating systems are presented. And further, we analyze a step by step method from “scratch” to a complete Linux-based operating system.

Published by: Kohinoor Chatterjee, Prafull Lad, Kartik Kapgate, Isha Bansod, Pravin Khandare

Author: Kohinoor Chatterjee

Paper ID: V6I2-1386

Paper Status: published

Published: April 15, 2020

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Research Paper

Recommendation system of course selection

This module is a program for recommending various courses on the basis of academic results and student selection. Students choose specific courses of study because of their interests and possible future development upon graduation. It is a unique approach to student counseling that proposes different approaches to learners and resources, processing natural languages, indicators for developing skills and knowledge. It collects course information and commends them according to their students' preferences, interests and needs. Choosing the wrong subjects means the discrepancy between the student's understanding, power, and personal interest. Problems arise when a student is not interested in the course that is not well-matched with the student's ability. In this module, the system assesses the power of psychometric tests and is based on their previous learning outcomes. Incorporating all aspects, speaking and deciding which lessons should be recommended by learners. So it's nice to have some kind of smart complementary tools that need to be made to help them.

Published by: Saurabh Jayakumar Gandhi, Nikita Bhamare, Yugandhara Jadhav, Swati Patil

Author: Saurabh Jayakumar Gandhi

Paper ID: V6I2-1359

Paper Status: published

Published: April 15, 2020

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Research Paper

Multiple clustering solutions using FK-means Algorithm

Most of the clustering algorithms try to find a single efficient clustering solution. However, data can be grouped and interpreted in many different ways. Moreover, different efficient clustering solutions are interesting for different views. This is particularly true in the high dimensional, where different views reveal different possible groupings of the data. In this paper, we apply multivariate mutual information to find multiple views for the data by grouping features. Then we apply the Fast K-means (FK-means) algorithm to these different views to find multiple clustering solutions. Our experiments on synthetic and real data show that our method can discover multiple views of the data that correspond to different solutions

Published by: Ahmed I. Taloba, Rasha M. Abd ElAziz

Author: Ahmed I. Taloba

Paper ID: V6I2-1389

Paper Status: published

Published: April 14, 2020

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Research Paper

Production of bio fuel from used cooking oil

Biodiesels are very good alternatives to diesel oils as they have similar properties. It is one of the best substitutes for the fuels and it has acquired significance due to the shortness of conventional fuels. These biodiesels can also be produced from waste cooking oil by transesterification process. These waste cooking oils are better options for conventional fossil fuels. Also, biodiesel can be produced from animal fats and vegetable oils but it may compete for the food supply. Waste cooking oils are considered to be a substantial feedstock.

Published by: Nandhini M., Deva Dharshini S., Kanimozhi R.

Author: Nandhini M.

Paper ID: V6I2-1378

Paper Status: published

Published: April 14, 2020

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