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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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Research Paper

Patient’s Health Checkup System based on IOT using Raspberry Pi.

Now-a-days, Health has become one of the global challenges for humanity. Due to covid-19 pandemic people are significantly more worried about their health as cases are rising rapidly. Hence it is crucial to monitor the physical health of the patient. Due to several problem timely patient’s health monitoring is very essential. This paper presents a design and implementation of patient’s health monitoring system which includes several sensors. The patient’s physique will be monitored constantly, and the doctor can know about the patient’s condition continuously in front of a computer screen or on smartphone. Whenever the condition of the patient goes abnormal Doctor can analyze the problem immediately which can help to save patient’s life. The main motive of this project is to update. the doctor about the patient’s health condition timely and if any abnormality occurs, the doctor can take the best step immediately.

Published by: Adesh Vairagade, Aamod Deshpande, Renuka chinchamalatpure, Manisha Khorgade

Author: Adesh Vairagade

Paper ID: V7I3-1410

Paper Status: published

Published: May 22, 2021

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Research Paper

Implementation of Sliding Window Protocol over lossy connections

– In the Lossy Networks, the loss of data packets is very prominent and concerns of worries for efficiency and sustainability of the system. However, by using Sliding Window Protocol both the sender and receiver keeps a window of acknowledgement. The sender keeps the knowledge about expected acknowledgement and receivers keeps the knowledge about receiving frames. Due to which, loss of transmission of data is minimal and efficiency of the system is improved.

Published by: Yash Deshpande, Rucha Tirodkar, Piyush Verma, Arjun Bhardwaj, Nayana Vaity

Author: Yash Deshpande

Paper ID: V7I3-1422

Paper Status: published

Published: May 22, 2021

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Research Paper

Quantum theories in science and technology

In this paper, we forth universal quantum theories in science and technology, relevant to mechanics and dynamical systems of multi-body grand canonical bodies. The quantum theories are generalizable to millions to billions of interactive bodies of different properties, interactions and science and technological applications from quantum computing, Q-LEDs, Q-heat transfer, Q-hydrodynamics, Q-EHMD, spintronics, Q-engineering and measurement with the theory laid here for quantum science and technology.

Published by: Vishal Nandigana

Author: Vishal Nandigana

Paper ID: V7I3-1399

Paper Status: published

Published: May 21, 2021

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