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

7 publications

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    Smart Motion Detection System using IoT: A NodeMCU and Blynk Framework

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: A motion detector is a device that senses movement and triggers an action, such as turning on a light or sounding an alarm. Usually, motion detectors have been wired into home security systems, but with the advancements in IoT technology, they can now be connected to the internet for remote monitoring and control. This makes it possible to secure our homes and workplaces in a more practical and adaptable manner. …

    Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article

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    Home Automation System Based on GSM

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: From convenience and security to energy efficiency and managing household chores, a home automation system has many advantages. As technology advances, it becomes more and more necessary for contemporary homes. It improves our quality of life in addition to making our lives easier. Thus, if you want to modernise your house, think about getting a home automation system and benefit from the comfort and convenience it offers. Our lives have …

    Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 3, 2023 · pp. 7–12 Read article

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    IoT based Healthcare Monitoring for COVID- Subvariant JN-1

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: COVID-19 The pandemic has brought attention to how crucial healthcare surveillance is to be controlling and halting the spread of infectious diseases. The introduction of novel variations such as the JN 1 subvariant, there is an urgent need for advanced and efficient monitoring systems to keep track of the virus and its impact on individuals and communities. This is where the Internet of Things (IoT) comes into play, offering a …

    Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 21–27 Read article

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    Deep Learning, YOLO and RFID based Smart Billing Handcart

    By Kazi Kutubuddin Sayyad Liyakat, U. M. Halli, Vahida Kazi, Sultana Kazi

    Abstract: Someone visited mall to buy the items they need on regular basis and pay for them. It is needed to verify how many goods are sold out and produce customer’s invoice. When someone visits a store to purchase goods, he/she must exert effort to choose the appropriate items. Furthermore, it is stressful to wait in queue to get the invoice after that. Therefore, we are suggesting a smart cart system …

    Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 1, 2023 · pp. 1–8 Read article

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    Text Analysis in Health Care Study Using IoT

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: The Internet of Things (IoT) should be a recent buzzword that has steadily acquired acceptance (IoT). Organizations, governments, and the scientific community have already acknowledged the significance of the Internet of Things as a result of a surge in publications over the past few years. Despite scant research on goals and potential breakthroughs, IoT in health had a significant role in this development. In this study, the only method used …

    Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 11–18 Read article

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    IoT-based Smart Transportation System for Passenger Comfort

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: Industry 4.0 now includes a far wider range of topics, including smart transportation management, smart cities, and smart healthcare. It is important to emphasise that among Industry 4.0’s main objectives are innovation, the adoption of new business models, and the development of new revenue sources. Vehicle tracking data is vital in intelligent transportation systems (ITS) for both drivers and passengers who want to understand where they are to cross or …

    Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 28–35 Read article

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    Reverse Engineering’s Neural Network Approach to the Human Brain

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: The organic components of the brain are capable of performing consistently and successfully in noisy situations. Brain components with highly adaptive or flexible interactions that could be low-precision, unpredictable, or excessively simultaneous are used to construct biological circuits. Two of the most remarkable characteristics of brain networks are their propensity to self-organize and their pattern organization. Recent research on neural networks, including artificial neural networks and convolutional neural networks (CNN), …

    Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 17–24 Read article

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