Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Informatika dan Multimedia
Mohapatra, Badri Narayan
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Data Acquisition System of Temperature Measurement Using LabVIEW Application Mohapatra, Badri Narayan; Barwade, Neilsinh; Walse, Ayush; Patil, Dhairyashil
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 3 No. 1 (2023): March 2023
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v3i01.70

Abstract

Data Acquisition (DAQ) is widely used in Research and Development, Quality Control, Testing. Data acquisition (DAQ) is a process in which raw transducer signals are converted to computer readable data so that computers can store and manipulate that data. Temperature control system mainly the measuring and even to achieve stable or desired value have big challenge and importance in all sector of industry. This article tries to summarize the recent advancements in data acquisition technology and also explains the utility of LabVIEW software in DAQ applications related to temperature measurement.
Internet Of Thing Based COVID Testing Booth Mohapatra, Badri Narayan; Bhoje, Manisha; Patil, Labhesh; Dudhamal, Nitesh
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 1 (2025): March 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i1.73

Abstract

In view of current situation the COVID-19 has become ubiquitous in every corner of the world. Every individual need to be cautious to overcome the spread of the COVID-19. It has become necessary to predict the COVID symptoms in order to allow the people at the public places and the entrances. The early symptoms of COVID-19 is high body temperature and change in pulses. It would be difficult to check temperature and take pulses of everyone, there might be a chance of being in contact with the person which is harmful. An automatic temperature scanning gate is presented to verify the body temperature and check pulses of any intruder. The main objective of the system is to monitor the human body temperature and take pulses when needed. In normal situation the gate is closed. If the module senses any high temperature (more than 37 degree Celsius) or the pulses are irregular, buzzer is activated indicating the detection of COVID symptom. Otherwise, the gate is opened, thus allowing the person into the room. The LCD displays the persons temperature and heart rate, being detected by sensor. In this project an attempt will be made to develop a prototype for covid testing booth for COVID 19 safety.
Data Acquisition System of Temperature Measurement Using LabVIEW Application Mohapatra, Badri Narayan; Barwade, Neilsinh; Walse, Ayush; Patil, Dhairyashil
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 3 No. 1 (2023): March 2023
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v3i01.70

Abstract

Data Acquisition (DAQ) is widely used in Research and Development, Quality Control, Testing. Data acquisition (DAQ) is a process in which raw transducer signals are converted to computer readable data so that computers can store and manipulate that data. Temperature control system mainly the measuring and even to achieve stable or desired value have big challenge and importance in all sector of industry. This article tries to summarize the recent advancements in data acquisition technology and also explains the utility of LabVIEW software in DAQ applications related to temperature measurement.
Real-Time Cheating Detection in Exam Halls Using Computer Vision and Embedded Systems Mohapatra, Badri Narayan; Kudale, Shivani; Nandagude, Pranjal; Jagtap, Sagar
Jurnal Informatika dan Multimedia Vol. 17 No. 2 (2025): Jurnal Informatika dan Multimedia
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtim.v17i2.7475

Abstract

This paper presents an intelligent proctoring system designed to enhance the integrity of examination environments using computer vision technologies. The system integrates motion detection and face recognition algorithms to identify and record suspicious activities in real-time. Built on a Raspberry Pi 4B platform with a USB camera, the system continuously monitors the exam hall, detecting behaviors such as unauthorized movements, excessive head gestures, and student interactions that may indicate cheating. Upon detection of such activities, the system generates alerts for invigilators and securely stores visual evidence for post-exam review. The implementation leverages OpenCV for video processing and behavior analysis, achieving an overall detection accuracy of 91.5% across 100 exam sessions. The proposed solution demonstrates a cost-effective, scalable, and automated approach to proctoring, reducing reliance on manual supervision and offering enhanced security for both physical and potentially remote exam settings.
Co-Authors Barwade, Neilsinh Bhoje, Manisha Dudhamal, Nitesh Jagtap, Sagar Kudale, Shivani Nandagude, Pranjal Patil, Dhairyashil Patil, Labhesh Walse, Ayush