Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    GUI based industrial monitoring and control system
    (IEEE Computer Society help@computer.org, 2014) Khan, S.R.; Bhat, M.S.
    Over the years the Graphical User Interface (GUI) based systems are becoming accepted by the users to interact with electronics environment through graphical icons and visual indicators. In the industries GUI based systems are really essential to monitor and control the surroundings with a central supervisor. In this paper a GUI based system is described which can sense and monitor multiple number of sensors and also can be used to run number of machines and also has the ability to control a motor belt. This implemented control system can be used in the medicine, beverage, chemical production and packing industries. © 2014 IEEE.
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    GSM and GUI Based Remote Data Logging System
    (Institute of Electrical and Electronics Engineers Inc., 2014) Khan, S.R.; Nath, R.K.; Bhat, M.S.
    Data Logging or 'Data Acquisition' is a very popular term in present day's industrial era. However it is a very useful electronic device to record a process, or environmental conditions. Because of the technological revolution the modern industrial and communication systems, the technological facilities are reaching in such a remote locations where immediate human interaction is not very easy. But periodic monitoring is a priority for those sites, as those sites contains very expensive equipments. So a remote data logging system is proposed in this paper using GSM (Global System for Mobile) modem to extract the overall remote site information and the proposed system is also integrated with GUI (Graphical User Interface). © 2014 IEEE.
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    Logic Gates Using Memristor-Aided Logic for Neuromorphic Applications
    (Springer Science and Business Media Deutschland GmbH, 2023) Khan, S.R.; Haque, M.N.; Islam, M.T.; Naik, J.D.; Al-Shidaifat, A.D.; Song, H.; Kumar, S.
    Data transfer rate has been a hornets’ nest for modern systems memory and CPU. One of the more appealing potentials to overcome the limits is to combine memory and processing at the same site where the data is stored. Memory processing has been exhibited using memristor-aided logic (MAGIC) operations in memristor. In this paper, Ag/AgInSbTe/Ta (AIST)-based memristor has been used to implement the memristor-based logic design. A memristor-only logic family referred to as MAGIC technique is used to perform logic gates such as AND, OR, NOT, and NAND. The logical operations were executed using Verilog-A model, and the figures of those operations are shown. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    A Low-Power Highly Efficient DC–DC Buck Converter Using PWM Technique
    (Springer Science and Business Media Deutschland GmbH, 2023) Islam, M.T.; Haque, M.N.; Khan, S.R.; Naik, J.D.; Al-Shidaifat, A.D.; Kumar, S.; Song, H.
    Integrated digital circuits (IDCs) have become a popular option for DC–DC buck converters. This article describes a novel CMOS DC–DC buck converter architecture that leverages pulse-width modulation (PWM) for low-power technology. Double delay lines are used in the PWM power consumption which is minimized throughout design and improve unstable voltage while increasing resolution. The functioning of PWM is described using an algorithm developed. Under the working frequency of 100 kHz, the promising findings suggest that the power consumption is reduced to 1.17 W while taking up less space. With a current, the DC–DC buck converter using PWM has a high efficiency of 92.2% across a power range of 4–10 mA. Compared to traditional converters, our PWM approach reduces ripple voltage by 48% and allows in order to create within a DC–DC converter in a smaller chip area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    An Ultralow-Power CMOS Integrated and Fire Neuron for Neuromorphic Computing
    (Springer Science and Business Media Deutschland GmbH, 2023) Haque, M.N.; Khan, S.R.; Islam, M.T.; Naik, J.D.; Al-Shidaifat, A.D.; Kumar, S.; Song, H.
    Very large-scale integration (VLSI) implementations of spiking neurons are vital for a range of applications, from high-speed modeling of large neural systems to real-time behavioral systems and bidirectional brain-machine interfaces. The circuit solution utilized to implement the silicon neuron is determined by the application’s needs. This paper describes an ultralow-power analog circuit for realizing a leaky integrate and fire neuron model. The suggested circuit comprises parts for executing spike-frequency adaptation and modifying the neuron’s threshold voltage, in addition to being designed for low-power consumption. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.