International Journal of Microwave Engineering and Technology
Volume 10, Issue 2 (2024)
Table of contents
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Abstract- Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
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IoT Based Smart RFID Application in Healthcare
Abstract: The Internet of Things has become a promising technology in recent years that expands the idea of the internet and makes it more widespread, enabling smooth communication between all kinds of devices. To connect “Everything” and make it smarter, the Internet of Things plays several roles, including identification, information gathering, exchange and processing, decision-making, and security. Two important technologies that facilitate intelligent decision-making across a range of applications are cloud …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 24–29 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data – A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions, such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 30–37 Read article
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Performance Study of AODV, OLSR, and DSDV Routing Protocols in Mobile AD HOC Networks
Abstract: This study presents a performance evaluation of three prominent routing protocols in mobile ad hoc network: ad-hoc on-demand distance vector, optimized link state routing, and destination-sequenced distance vector. Efficient routing protocols are required to be sustained in dependable communication in mobile ad hoc network due to the dynamic and decentralized nature of the network. Ad hoc on-demand distance vector belongs to the reactive protocol category that creates routes on demand; …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 38–60 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article