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Wyszukujesz frazę "Joshi, Hardik" wg kryterium: Autor

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Comparative BER Analysis of Free Space Optical System Using Wavelength Diversity over Exponentiated Weibull Channel
    Autorzy:
    Shah, Dhaval
    Joshi, Hardik
    Kothari, Dilipkumar
    Powiązania:
    https://bibliotekanauki.pl/articles/2055211.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    bit error rate
    exponentiated weibull distribution
    free space optics
    FSO
    wavelingth diversity
    optimal combining
    Opis:
    Atmospheric turbulence is considered as major threat to Free Space Optical (FSO) communication as it causes irradiance and phase fluctuations of the transmitted signal which degrade the performance of FSO system. Wavelength diversity is one of the techniques to mitigate these effects. In this paper, the wavelength diversity technique is applied to FSO system to improve the performance under different turbulence conditions which are modeled using Exponentiated Weibull (EW) channel. In this technique, the data was communicated through 1.55 µm, 1.31 µm, and 0.85 µm carrier wavelengths. Optimal Combining (OC) scheme has been considered to receive the signals at receiver. Mathematical equation for average BER is derived for wavelength diversity based FSO system. Results are obtained for the different link length under different turbulence conditions. The obtained average BER results for different turbulence conditions characterized by EW channel is compared with the published result of average BER for different turbulence which is presented by classical channel model. A comparative BER analysis shows that maximum advantage of wavelength diversity technique is obtained when different turbulence conditions are modeled by EW channel.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 4; 665--672
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance Analysis of LEACH with Deep Learning in Wireless Sensor Networks
    Autorzy:
    Prajapati, Hardik K.
    Joshi, Rutvij
    Powiązania:
    https://bibliotekanauki.pl/articles/2200710.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    machine learning
    Deep learning
    Convolutional Neural Network (CNN)
    LEACH
    Opis:
    Thousands of low-power micro sensors make up Wireless Sensor Networks, and its principal role is to detect and report specified events to a base station. Due to bounded battery power these nodes are having very limited memory and processing capacity. Since battery replacement or recharge in sensor nodes is nearly impossible, power consumption becomes one of the most important design considerations in WSN. So one of the most important requirements in WSN is to increase battery life and network life time. Seeing as data transmission and reception consume the most energy, it’s critical to develop a routing protocol that addresses the WSN’s major problem. When it comes to sending aggregated data to the sink, hierarchical routing is critical. This research concentrates on a cluster head election system that rotates the cluster head role among nodes with greater energy levels than the others.We used a combination of LEACH and deep learning to extend the network life of the WSN in this study. In this proposed method, cluster head selection has been performed by Convolutional Neural Network (CNN). The comparison has been done between the proposed solution and LEACH, which shows the proposed solution increases the network lifetime and throughput.
    Źródło:
    International Journal of Electronics and Telecommunications; 2022, 68, 4; 799--805
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Synthesis and characterization of diversely substituted pyrimidine-3-carboxamide and their antimicrobial evaluation
    Autorzy:
    Senjani, Hardik K.
    Joshi, H. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/1031771.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    1-4-dihydropyrimidine
    analgesic
    anti-inflammatory
    antibacterial
    anticonvulsant
    antifungal
    antimicrobial
    antituberculosis
    antitumor
    biginalli
    dihydropyrimidine
    insecticidal
    multi-component reaction
    pyrimidine
    Opis:
    Pyrimidine related fused heterocycles are attracted to every chemist during the last decade for their biological and chemotherapeutic importance. Pyrimidine derivatives play a vital role in their broad spectrum of biological activities including antituberculosis, anticonvulsant, anti-inflammatory, insecticidal, antifungal, analgesic, and antitumor properties and there of interest as potential bioactive molecules. The nitrogen-containing fragment may be an amidine, urea, thiourea, or guanidine, and adamantine homologs and aromatic aldehyde serve as an excellent illustrative example in that it readily undergoes as Biginali MCRs reaction. Pyrimidines and their derivatives are considered to be important for drugs and agricultural chemicals. Pyrimidine derivatives possess several interesting biological activities. Pyrimidine is a basic nucleus in DNA & RNA, it is associated with diverse biological activities so, we have designed and prepared a novel highly functionalized pyrimidine library of 1,4 DHP and DHPM via a one-pot multi-component (MCRs) synthesis and we screened for antimicrobial activity against various strains.
    Źródło:
    World Scientific News; 2020, 150; 39-77
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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