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

4 publications

  • Published Subscription

    Intelligent Watering System(IWS) for Agricultural Land Utilising Raspberry Pi

    By Dr.Kazi Kutubuddin Sayyad Liyakat

    Abstract: The need for food is rising along with the population, which puts additional pressure on farmersto raise more crops. However, farmers have found it difficult to supply this demand due toreasons like water scarcity, erratic weather, and ineffective irrigation techniques. IntelligentWatering System (IWS) is a revolutionary technology that has the potential to transform theagricultural sector. It not only optimizes water usage and increases crop yield but also promotessustainable farming practices. …

    Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 2, 2023 · pp. 26–31 Read article

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    Voltage Sag Mitigation Using DVR and Ultra Capacitor

    By Dr.Kazi Kutubuddin Sayyad Liyakat, UM Halli, G. M. Kosgiker

    Abstract: Due to the rising integration of renewable energy sources into the power system, power quality issues have recently become more significant. Voltage sags and swells are among the biggest issues with a power system, and a lot of research has been done to try to solve these issues. Equipment for power conditioning can enhance the quality of the power. Dynamic voltage restorers (DVR) are used to shield sensitive loads from …

    Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 3, 2022 · pp. 21–31 Read article

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    IoT-Based Healthcare Monitoring for COVID-19 Home Quarantined Patients

    By Dr.Kazi Kutubuddin Sayyad Liyakat

    Abstract: 4–5 days after a person contracts the COVID virus, symptoms typically start to show. It's possible for some people's symptoms to go undetected for up to two weeks. Fever, lightheadedness, headaches, dyspnea, dry coughs that eventually produce phlegm, and in rare instances, loss of taste and smell are the predominant symptoms of COVID 19 infection. Rashes and other skin issues have sporadically been reported. One example is the reddish-purple spots …

    Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 26–31 Read article

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    Smart Grid Energy Saving Technique Using Machine Learning

    By Dr.Kazi Kutubuddin Sayyad Liyakat

    Abstract: The energy authorities provided the computation at reasonable rates for straightforward congestion management. By giving the specific information needed for energy use that is aimed towards client demands, the microgrid enables significant energy cost reductions & better power cash reserves. Processing data and producing predictions for a developing electrical system would be difficult, nevertheless, given the analysis that has been done and the population's characteristics. A Deep Learning (DL) Electricity …

    Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article

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