STM Journals Peer-reviewed research from Consortium e-Learning Network

3 publications

  • Published Subscription Original Research

    Development of an Electric Wheelchair for the Smooth Functioning of Physically Disabled Persons

    By Arun Kumar Yadav, Rachit Srivastava, Tej Prakash Verma, Rajesh Kumar

    Abstract: Wheelchairs can be moved manually, with the assistance of a partner, a joystick, or both. For patients with impairments, other pushing or controlling methods aside of a wheelchair are required. People use wheelchairs as they are unable to walk because of an illness, an accident, or a handicap. 15% of people globally have a disability, according to the WHO International Report on Disability. 131.8 million people, or 1.85% of the …

    Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 1–27 Read article

  • Published Subscription Review Article

    A Review on Various Types of Motors Used in Electric Vehicles

    By Arun Kumar Yadav, Muskan Yadav, Rachit Srivastava, Anurag Dwivedi, Rajesh Kumar

    Abstract: To maintain environmental equilibrium, a “green revolution” is required, as modern society relies excessively on fossil fuels to fund its indulgences. The pursuit of sustainable energy and reducing carbon dioxide emissions from internal combustion engines has motivated scientists and engineers to investigate and create unique driving systems. Vehicle emissions have decreased significantly because of the introduction of hybrid automobiles. Electric vehicles (EVs) rely on various types of motors to convert …

    Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 35–43 Read article

  • Published Subscription Original Research

    Optimization of Automatic Energy Management System Using Renewable Resources

    By Arun Kumar Yadav, Rachit Srivastava, Anurag Dwivedi, Mashkoor Ahmad, Jay Bahadur Singh, Tej Prakash Verma

    Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …

    Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article

Support