i-manager's Journal on Electronics Engineering (JELE)


Volume 13 Issue 1 September - November 2022

Research Paper

7 Level Symmetrical Inverter for Photovoltaic System

Shamiksha Vande* , Aaditya Khare**
* Department of Power Electronics Engineering, Raipur Institute of Technology, Raipur, Chattisgarh, India.
** Chhattisgarh Swami Vivekananda Technical University, Chhattisgarh, India.
Vande, S., and Khare, A. (2022). 7 Level Symmetrical Inverter for Photovoltaic System. i-manager's Journal on Electronics Engineering, 13(1), 1-12. https://doi.org/10.26634/jele.13.1.19299

Abstract

This research presents the design, implementation, and evaluation of a seven-level symmetrical inverter for photovoltaic systems. The inverter is based on a cascaded H-bridges topology with distinct DC assets and is capable of efficiently converting DC power from a photovoltaic system to AC power with low Total Harmonic Distortion (THD). The system consists of a solar panel, charge controller, battery bank, and a multilevel inverter circuit. The inverter employs Pulse Width Modulation (PWM) techniques to control the output voltage and frequency, ensuring that it is suitable for the AC load. The performance of the inverter is analyzed using Fast Fourier Transform (FFT) to determine the THD, and the results are compared with those of other multilevel inverter topologies such as diode clamped (neutral clamped) and flying capacitors. The efficiency of the seven-level symmetrical inverter is evaluated under different load conditions and compared with other multilevel inverters to determine potential energy savings and performance improvements. The analysis provides insights into the advantages and limitations of the seven-level symmetrical inverter for photovoltaic systems, highlighting the importance of distinct DC assets in achieving high efficiency and low THD. The results of this research can be useful for designing and implementing high-performance and cost-effective photovoltaic systems.

Research Paper

Optimizing Battery Charging Efficiency and Longevity through Smart Charging Techniques in Microcontroller-Based Systems

D. Suja Darling*
Department of Electronics and Communication Engineering, C.S.I. Institute of Technology, Thovalai, Tamil Nadu, India.
Darling, D. S. (2022). Optimizing Battery Charging Efficiency and Longevity through Smart Charging Techniques in Microcontroller-Based Systems. i-manager's Journal on Electronics Engineering, 13(1), 13-25. https://doi.org/10.26634/jele.13.1.19347

Abstract

This paper explores the topic of optimizing battery charging efficiency and longevity through smart charging techniques in microcontroller-based systems. With the increasing demand for portable and wireless devices, efficient battery charging and longer battery life have become essential. The use of microcontroller-based systems allows for more precise and effective control of battery charging, resulting in improved efficiency and longevity. The current research is on intelligent battery charging systems and battery management systems and discusses various smart charging techniques that can be employed in microcontroller-based systems, including fuzzy logic control, model predictive control, and hybrid algorithms. The paper also highlights the importance of battery management and the need for a comprehensive battery management system to optimize charging efficiency and battery longevity. Finally, the paper presents several case studies and experimental results to demonstrate the effectiveness of these smart charging techniques in improving battery charging efficiency and longevity in microcontroller-based systems.

Review Paper

Improving the Performance and Functionality of AI and Machine Learning in Electronic Devices and Systems

Sheryl Radley* , K. P. Ajitha Gladis**
* Meenakshi College of Engineering, Chennai, Tamil Nadu, India.
** Department of Information Technology, C.S.I Institute of Technology, Thovalai, Tamil Nadu, India.
Radley, S., and Gladis, K. P. A. (2022). Improving the Performance and Functionality of AI and Machine Learning in Electronic Devices and Systems. i-manager's Journal on Electronics Engineering, 13(1), 26-38. https://doi.org/10.26634/jele.13.1.19345

Abstract

The goal of this research is to enhance the performance and functionality of Artificial Intelligence (AI) and Machine Learning (ML) in electronic devices and systems. Electronic devices and systems have become an integral part of our lives, with an increasing amount of data being generated and processed. The integration of AI and ML technologies in these devices and systems can significantly improve their performance, efficiency, and user experience. The research will focus on developing new algorithms, improving existing ones, or finding new ways to integrate AI and ML into electronic devices and systems. Areas of focus may include image and speech recognition, natural language processing, and decision making. In conclusion, this research aims to improve the performance and functionality of AI and ML in electronic devices and systems by developing new algorithms, improving existing ones, and finding new ways to integrate AI and ML into these devices and systems. The ultimate goal is to make electronic devices and systems more intelligent, efficient, and useful for users.

Review Paper

A Rigorous Approach to Microprocessor Verification using UVM

A. Bindu*
Department of Electrical and Electronics Engineering, C.S.I Institute of Technology, Thovalai, Tamil Nadu, India.
Bindu, A. (2022). A Rigorous Approach to Microprocessor Verification using UVM. i-manager's Journal on Electronics Engineering, 13(1), 39-50. https://doi.org/10.26634/jele.13.1.19344

Abstract

In today's fast-paced technology industry, microprocessors play an increasingly important role in a wide range of applications. However, verifying the correctness of complex microprocessor designs remains a significant challenge. To address this issue, a rigorous approach to microprocessor verification using the Universal Verification Methodology (UVM) is proposed. UVM provides a standardised and scalable approach to verifying digital designs, including microprocessors, and has been widely adopted in the industry. This research proposes a UVM-based verification framework for microprocessors that can identify and eliminate design errors early in the development cycle. The proposed approach covers functional verification, performance verification, and hardware-software co-verification. The effectiveness of the proposed approach is evaluated through a case study of a commercial microprocessor design, where the UVM-based verification framework successfully detected and resolved several design bugs. The results demonstrate the potential of the proposed rigorous approach to microprocessor verification using UVM to enhance the quality and reliability of microprocessor designs.

Review Paper

RedTacton's Human Area Network-Based Healthcare Monitoring System

S. Stewart Kirubakaran *
Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Kirubakaran, S. S. (2022). RedTacton's Human Area Network-Based Healthcare Monitoring System. i-manager's Journal on Electronics Engineering, 13(1), 51-56. https://doi.org/10.26634/jele.13.1.19346

Abstract

RedTacton is a Human Area Networking (HAN) device that uses the surface of the human body to transmit data faster. It utilizes the tiny electric field that is emitted on the surface of the human body setting it apart completely from wireless and infrared technologies. When a human body comes into contact with a RedTacton transceiver, a transmission path is generated. It is possible to communicate using any part of the body, including the face, legs, arms, feet, hands, and fingers. The RedTacton chip has a transmitter and a receiver for accepting and sending digital data. This paper discusses RedTacton's working principles, and features. This paper describes a healthcare monitoring system that monitors patients' body temperatures, blood pressure, heart rates, and glucose levels without the use of wires, Bluetooth, Local Area Network, Radio Frequency (RF), or other external equipment. Consequently, the capital and investment cost is reduced.