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  1. Home
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Browsing by Author "Chakrabartty, S."

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    A Conceptual Investigation at the Interface between Wireless Power Devices and CMOS Neuron IC for Retinal Image Acquisition
    (MDPI, 2020) Al-Shidaifat, A.; Kumar, S.; Chakrabartty, S.; Song, H.
    In this paper, a conceptual investigation of the interface between wireless power devices and a retina complementary metal oxide semiconductor (CMOS) neuron integrated circuit (IC) have been presented. The proposed investigation consists of three designs: design-I, design-II, and design-III. Design-I involves a slotted loop monopole antenna as per American National Standards Institute (ANSI) guidelines, which achieve an ultra-wide band ranging from 3.1 GHz to 10.6 GHz. The biocompatible antenna is made on silicon-nitride substrate using on-wafer packaging technology and it is used as a receiver device. The performance of antenna provides a wideband, sufficient power to receive, and low losses due to the avoidance of printed circuit board (PCB) fabrication. A CMOS based multi-stack power harvesting circuit achieves the output power ranging from 4 mW to 2.7 W and corresponds from the selected Radio Frequency (RF) bands of loop antenna is exhibited in design-II. The power efficiency of 40% to 82%, with respect to output powers of 4 mW to 2.7 W, is achieved. Design-III includes a CMOS based retina neuron circuit that employs a dynamic feedback technique and support to achieve the number of read-out spikes. At the end of the interface between wireless power devices and a CMOS retina neuron IC, 50 mV read-out spikes are achieved, with varying light intensity, from 0 mW/cm2 to 2 mW/cm2. The proposed design-II and design-III are implemented and fabricated using commercial CMOS 0.065 µm, Samsung process. The antenna and RF power harvesting IC could be placed on a contact lens platform while retina neuron IC can be implanted after ganglions cells inside the eye. The antenna and harvesting IC are physically connected to the retina circuit in the form of light. This conceptual investigation could support medical professionals in achieving an interfacing approach to restore the image visualization. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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    A novel chaotic modulation approach of packaged antenna for secured wireless medical sensor network in E-healthcare applications
    (John Wiley and Sons Inc. P.O.Box 18667 Newark NJ 07191-8667, 2020) Jayawickrama, C.; Kumar, S.; Chakrabartty, S.; Song, H.
    This article first time reports the chaotic modulation approach toward RF signal processing for secured wireless medical sensor network (WMSN) in E-healthcare applications. A Lorenz based chaotic modulation approach is implemented which provides lowest bit error rate (BER). The definite analytical expressions for BER in a differential chaos-shift keying (DCSK) modulation scheme is derived and it predicted good correlation between simulated and theoretical. It is observed that proposed Lorenz chaos-based DCSK modulation scheme is a potential candidate to provide high security in the patient data for WMSN. An off-body UWB slotted antenna is designed which could avoid limitation of short-range distance like implanted ones. The entire work includes numerical, simulated and experimental data in three phases. In first phase, Lorenz chaotic oscillator with electronics compatibility is executed which acts as data acquisition unit and demonstrates two-dimensional and three-dimensional chaos attractors. While in the second phase, analysis of BER achieves value of less than 10?4 by providing pseudorandom bit sequence at 5 Gb/s. A chaos modulated envelope using Lorenz based DCSK modulation is obtained by delay element ?. Finally, the third phase is designed on-wafer off-body antenna and demonstrates 3.1 to 10.6 GHz UWB toward RF signal processing in E-healthcare applications. © 2019 Wiley Periodicals, Inc.
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    A novel characterization and performance measurement of memristor devices for synaptic emulators in advanced neuro-computing
    (MDPI AG indexing@mdpi.com Postfach Basel CH-4005, 2020) Al-Shidaifat, A.; Chakrabartty, S.; Kumar, S.; Acharjee, S.; Song, H.
    The advanced neuro-computing field requires new memristor devices with great potential as synaptic emulators between pre-and postsynaptic neurons. This paper presents memristor devices with TiO2 Nanoparticles (NPs)/Ag(Silver) and Titanium Dioxide (TiO2) Nanoparticles (NPs)/Au(Gold) electrodes for synaptic emulators in an advanced neurocomputing application. A comparative study between Ag(Silver)-and Au(Gold)-based memristor devices is presented where the Ag electrode provides the improved performance, as compared to the Au electrode. Device characterization is observed by the Scanning Electron Microscope (SEM) image, which displays the grown electrode, while the morphology of nanoparticles (NPs) is verified by Atomic Force Microscopy (AFM). The resistive switching (RS) phenomena observed in Ag/TiO2 and Au/TiO2 shows the sweeping mechanism for low resistance and high resistance states. The resistive switching time of Au/TiO2 NPs and Ag/TiO2 NPs is calculated, while the theoretical validation of the memory window demonstrates memristor behavior as a synaptic emulator. Measurement of the capacitor-voltage curve shows that the memristor with Ag contact is a good candidate for charge storage as compared to Au. The classification of 3 x 3 pixel black/white image is demonstrated by the 3 x 3 cross bar memristor with pre-and post-neuron system. The proposed memristor devices with the Ag electrode demonstrate the adequate performance compared to the Au electrode, and may present noteworthy advantages in the field of neuromorphic computing. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
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    Item
    A novel chaotic modulation approach of packaged antenna for secured wireless medical sensor network in E-healthcare applications
    (2020) Jayawickrama, C.; Kumar, S.; Chakrabartty, S.; Song, H.
    This article first time reports the chaotic modulation approach toward RF signal processing for secured wireless medical sensor network (WMSN) in E-healthcare applications. A Lorenz based chaotic modulation approach is implemented which provides lowest bit error rate (BER). The definite analytical expressions for BER in a differential chaos-shift keying (DCSK) modulation scheme is derived and it predicted good correlation between simulated and theoretical. It is observed that proposed Lorenz chaos-based DCSK modulation scheme is a potential candidate to provide high security in the patient data for WMSN. An off-body UWB slotted antenna is designed which could avoid limitation of short-range distance like implanted ones. The entire work includes numerical, simulated and experimental data in three phases. In first phase, Lorenz chaotic oscillator with electronics compatibility is executed which acts as data acquisition unit and demonstrates two-dimensional and three-dimensional chaos attractors. While in the second phase, analysis of BER achieves value of less than 10?4 by providing pseudorandom bit sequence at 5 Gb/s. A chaos modulated envelope using Lorenz based DCSK modulation is obtained by delay element ?. Finally, the third phase is designed on-wafer off-body antenna and demonstrates 3.1 to 10.6 GHz UWB toward RF signal processing in E-healthcare applications. 2019 Wiley Periodicals, Inc.
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    Item
    A novel characterization and performance measurement of memristor devices for synaptic emulators in advanced neuro-computing
    (2020) Al-Shidaifat, A.; Chakrabartty, S.; Kumar, S.; Acharjee, S.; Song, H.
    The advanced neuro-computing field requires new memristor devices with great potential as synaptic emulators between pre-and postsynaptic neurons. This paper presents memristor devices with TiO2 Nanoparticles (NPs)/Ag(Silver) and Titanium Dioxide (TiO2) Nanoparticles (NPs)/Au(Gold) electrodes for synaptic emulators in an advanced neurocomputing application. A comparative study between Ag(Silver)-and Au(Gold)-based memristor devices is presented where the Ag electrode provides the improved performance, as compared to the Au electrode. Device characterization is observed by the Scanning Electron Microscope (SEM) image, which displays the grown electrode, while the morphology of nanoparticles (NPs) is verified by Atomic Force Microscopy (AFM). The resistive switching (RS) phenomena observed in Ag/TiO2 and Au/TiO2 shows the sweeping mechanism for low resistance and high resistance states. The resistive switching time of Au/TiO2 NPs and Ag/TiO2 NPs is calculated, while the theoretical validation of the memory window demonstrates memristor behavior as a synaptic emulator. Measurement of the capacitor-voltage curve shows that the memristor with Ag contact is a good candidate for charge storage as compared to Au. The classification of 3 x 3 pixel black/white image is demonstrated by the 3 x 3 cross bar memristor with pre-and post-neuron system. The proposed memristor devices with the Ag electrode demonstrate the adequate performance compared to the Au electrode, and may present noteworthy advantages in the field of neuromorphic computing. 2019 by the authors. Licensee MDPI, Basel, Switzerland.

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