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As technology is becoming more advanced, the world is heading to a state of huge energy scarcity. The existing resources are depleting at an alarming rate and people are struggling to find alternative sources of energy.On the contrary, a lot of valuable energy is getting wasted too in the form of a fault or leakage, commonly seen at our households.We propose an approach to keep track of energy and water usage at our households and thus alerting the consumers in the form of an application. The energy sensor ACS712 and the flow sensor YFS201 are used to measure the amount of energy and water consumed. The signals are sent as interrupt to the microcontroller where calculations are processed. A Wi-Fi module ESP8266 is used to upload the data to the cloud which can then be accessed by the user in the form of an application which keeps track of the usage and notifies the consumer. Extra features like gas leak detection can also be included in the application.

Published by: Sruthi Savithri Vijayakumar, Anish M. V., Pranav P., Alben Joseph, Minnu Jayan C.

Author: Sruthi Savithri Vijayakumar

Paper ID: V7I3-1420

Paper Status: published

Published: May 24, 2021

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Research Paper

Automatic categorization of Journal Submission System: An approach based on Cosine Similarity

In this paper, we have designed the automatic categorization of electronic journal submission system. Hence, eliminating the manual identification/selection of category and subsequently uploading the paper under that category. The proposed system reads the content, process it, removes the stop words and compares the remaining words with already set aside words for categorization/classification. From the extensive experimentation, it was revealed that the proposed system is robust and eliminates the manual involvement of submission administrator.

Published by: Wazhma Ahmadi, Dr. Hanumanthappa J.

Author: Wazhma Ahmadi

Paper ID: V7I3-1380

Paper Status: published

Published: May 24, 2021

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Research Paper

Survey on lane detection techniques

Every year, a large number of persons are killed in highway departure crashes due by driver inattention. Because safety is the primary goal of these systems, lane detecting systems can help prevent accidents. Such systems are designed to detect lane markings and alert the driver if the vehicle is drifting out of its lane. Several lane identification systems have been proposed and effectively proven in recent years. The hybrid median filter was used in this study to provide a noble strategy for lane detecting. Lane detection is used in a variety of intelligent vehicle applications, including lane trip recognition and warning boards, intelligent journey control, and autonomous driving. The majority of previous research has ignored the use of image filtering algorithms.

Published by: Govind Kotecha, Renuka Suryawanshi

Author: Govind Kotecha

Paper ID: V7I3-1379

Paper Status: published

Published: May 24, 2021

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Review Paper

PCB fault detection using Artificial Intelligence

PCB (Printed circuit board) is that the fundamental carrier in electronic devices on which a number of small electronic components are placed. The performance of devices is affected largely by a fault in PCB. To overcome the inefficiency of manual detection, time, and cost, automated optical inspection (AOI) supported machine vision has been widely utilized in the industry. As PCB designs get more and more complicated, the tasks like detection and classification also get more harder than before. For the purpose of solving the above problems, we have proposed a PCB fault detection system using machine learning. The system will automatically detect the PCB with the help of computer vision and compare it with the working PCB image which will be already saved in the database. After comparison, the application will be able to tell whether PCB is working or faulty and likewise generate a report. It will also recommend a solution to faulty PCB.

Published by: Sarang Kulkarni, Divya Jadhav, Nirmal Gurav, Surabhi Pansare, Sarika Aundhakar

Author: Sarang Kulkarni

Paper ID: V7I3-1414

Paper Status: published

Published: May 22, 2021

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Research Paper

Efficacy: Project-based blended learning in acquiring micro-teaching skills among B.Ed student-teachers

The study enlightens the effectiveness of Project Based Blended Learning in Learning Micro teaching skills among the student-teachers of B.Ed level. Traditional methods challenged to enhance the teaching of Micro-teaching skills among the student-teachers. The researcher endeavoured to practice Project Based Blended Learning for enrich the knowledge and understanding the teaching of Micro-teaching skills. .Objectives of the study: 1.To find out the effectiveness of Project Based Blended Learning in acquiring Micro teaching skills..2.To find out the significant difference in achievement mean score between the pre test of control group and the post test of control group.3.To find out the significant difference in achievement mean score between the pre test of Experimental group and the post test of Experimental group. Methodology: Parallel group Experimental method was adopted in the study. Sample: Thirty Student-Teachers of B.Ed, Paramveer College of Education, Dharmapuri were selected as sample for the study. Thirty students-teachers were considered as Controlled group and another thirty were considered as Experimental group. Tool: Researcher’s self-made achievement test was used as a tool for the study. Validity of the tool was established by the opinion of the juries. Reliability of the tool was established by the split-half method. Statistical technique:’t’ test was used to analyse the study. Findings: Project Based Blended Learning is more effective than traditional methods in acquiring Micro teaching skills. .Educational implications: It can be implemented for preparing lesson plan and other teaching-learning activities.

Published by: N. Kamaraj, Dr. P. Janardhana Kumar Reddy, Dr. G. Singaravelu

Author: N. Kamaraj

Paper ID: V7I3-1390

Paper Status: published

Published: May 22, 2021

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Research Paper

Voltage based control of Induction Motor using Advanced Voice Recognition and Command System

It is difficult to work in dangerous environment in numerous of the businesses. Human can survive as it were certain sum of temperature, weight etc. To work in environment over a run will cause risk to human life. Thus the framework is planned to diminish hazard of human life as well is more precise and computerized to alter itself to commanded parameters. The framework has highlight of voice command-based control of IM Drive for mechanical purposes through strategy of voltage variety. Moreover, it has essential highlights of drive assurance based on warm and over current security of drives. Gadget is having closed input circle framework based on tachometer speed sensor to alter speed precisely and keep up it indeed in the event that stack shifts. The voice acknowledgment gadget utilized is Alexa by Amazon and it communicates to custom planned drive control through wi-fi utilizing Hub MCU.

Published by: Mayur B. Deokate, Dr. G.H. Agrawal

Author: Mayur B. Deokate

Paper ID: V7I3-1394

Paper Status: published

Published: May 22, 2021

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