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This paper introduces a hybrid deep learning model integrating Convolutional Neural Networks (CNNs) with attention blocks in order to improve the precision and robustness of Human Activity Recognition (HAR). The suggested method makes advantage of the features of both architectures: While attention blocks dynamically recalibrate channel-wise feature responses to underline valuable features and suppress less relevant ones, CNNs are used for effective extraction of spatial dependencies and loc...
The unmanned aerial vehicle-assisted cognitive radio network has gained wide attention as a significant cutting-edge technology in the fifth-generation (5G) and upcoming sixth-generation (6G) era due to dynamic deployment flexibility, improved spectrum utilization efficiency, and many more. However, in cognitive radio networks (CRN), the secondary transmitter (ST) opportunistically uses the vacant spectrum bands to send their confidential information to the secondary receiver (SR) in the pres...
Ensuring workplace safety in an in-plant workplace or industrial environment is very critical, where the use of protective gear, particularly helmets, is crucial in preventing severe injury. Even if strict measures have been introduced, non-compliance remains a significant issue due to human negligence and a lack of continuous monitoring. This research aims to develop an automated, real-time helmet detection system leveraging computer vision to enforce safety regulations and minimise accident...
In this paper, we have given a design and evaluation of a real-time experimental demonstration of underwater wireless optical communication (UWOC) system to transmit the data collected by the underwater sensors which is used to get distinct feature and characteristics of underwater environment. The temperature and pressure data from the sensors are conveyed via an on-off keying modulation assisted through UWOC system. Symbol error rate performance is analysed from the proposed system and is ...
Inflatable planar membrane reflectors offer a promising solution for spacecraft antenna systems, particularly in near-term missions where cost-effectiveness and packaging efficiency are critical. These lightweight, deployable structures significantly reduce launch mass and volume, making them attractive for small satellites and deep-space applications. However, the performance of such membrane reflectors is highly sensitive to surface accuracy, which in turn is governed by the tension force...
Cognitive radio is essential for enabling secondary users to effectively utilize limited spectrum resources. The effectiveness of cognitive radio relies on enhancing signal strength to facilitate spectrum detection and data transmission, particularly when the primary user is not utilizing the designated spectrum. By incorporating Intelligent Reflective Surface (IRS), cognitive radio systems can be optimized through strategic phase adjustments at the IRS, which improves signal transmission for...
The Indian Stratosphere-Troposphere (ST) Radar taken under consideration is provisioned with handling the average to peak transmitted power (Pav/Pt) value up to 15.6 × 10-6. Baud length of 6μs corresponds to a range resolution of 900 meters for a 13-bit Barker code in traveling longest range. In this paper, we propose to use a compound Barker code in traveling the same range but with an improved range resolution of 37.5 meters. Compound Barker codes are generated to get this improved range re...
Tropical Cyclones (TCs) are notable catastrophic phenomena that cause loss of lives and infrastructure besides ecological-environmental damages. Globally, the tropical warm North Indian Ocean (NIO) basin is considered as an active breeding zone for TCs, and a higher population density over the coastal regions of India exacerbates the risk. Therefore, the study explores the variability in the individual and compound hazards owing to torrential rainfall, severe wind, and storm surges accompanie...
Urbanization plays a crucial role in modifying local meteorological conditions, which can significantly alter the precipitation distribution and pattern during pre-monsoon thunderstorms. A long-term climatological analysis of thunderstorm rainfall over Delhi is conducted using observational datasets and reanalysis products. This analysis provides insights into spatial and temporal trends and the role of urbanization in modulating storm intensity. Results indicate that urban areas significantl...
This paper reports a cost and space-efficient 3D printing system for the fabrication of complex structures from a piezoelectric polymer. This custom-engineered direct ink writing 3D printer was developed with a customized print head, and a syringe plunger model was used for micro-extrusion-based direct deposition of piezoelectric polymer at room temperature. Further, the piezoelectric polymer, like polyvinylidene fluoride (PVDF), was used, and a suitable solvent was used for ink preparation. ...
Urbanization in Indian megacities is quite prominent and it has been growing at an irreversible rate. This phenomenon is customarily driven by population migration and thereby, exerts considerable stress on the local environment. The current study analyzes the growth dynamics, forecasts future urban growth of selected Indian cities (viz., Mumbai, Chennai, Kolkata, Bhubaneswar-Cuttack, Vishakhapatnam, Kochi, and Guwahati), and highlights the association with the local microclimate. Land Use La...
This study presents a comprehensive investigation of tropical cyclones (TC) originating over the Bay of Bengal (BOB) and Arabian Sea (AS) basin between 2001-2020 period. The investigation is conducted adopting numerical simulation using Weather Research and Forecasting (WRF) model (CTRL) and assimilating scatterometer wind datasets to modify initial conditions through 3DVAR techniques (DA). Composite analysis involving take average of across varying TC categories which are compared against In...
Numerical weather prediction (NWP) has evolved over the years and is currently the best possible solution for forecasting the weather, yet it faces many challenges, such as accuracy, computational cost, scalability, etc. The data-driven approach has emerged as a potential way to overcome some of the shortcomings of NWP. In the recent past, several global data-driven weather forecasting systems have developed, and some of them even performed better than the operational NWP-based forecasting sy...
The present study, for the first time, reports a significant increase in the frequency of Monsoon depressions (MDs) over the northern Arabian Sea in the past four decades. The analysis reveals that increased frequency of MDs due to the substantial variations in both dynamic and thermodynamic parameters across the observation array. Notably, there has been a noteworthy upswing in the Genesis Potential Parameter (GPP) within the northern Arabian Sea sector of the region, shedding light on the i...
The study on urban meteorology, climatology, and extreme weather is quite important when a country aspires to evolve as an advanced economy in future. In this context, urban growth dynamics and future projection over selected Indian cities are analyzed using satellite datasets, relevant spatial metrics, urban density gradient analysis by applying geospatial technology, machine learning (ML), deep learning (DL) approaches, etc., as per the feasibility. A heterogeneous urban growth pattern and ...
Ultrahigh nickel-rich layered oxide cathodes have garnered significant attention as next-generation lithium-ion battery (LIB) due to their high specific capacity and potential to eliminate cobalt. However, conventional cathodes such as iNi0.95Mn0.025Co0.025O2 (NMC95) are limited by structural degradation, Li+/Ni2+ cation mixing, oxygen release, and transition-metal dissolution, resulting in poor cycling performance and limited thermal stability, particularly during high-voltage operation. Fur...
Gas Foil Bearings (GFBs) have emerged as essential components in modern high-speed, oil-free rotating machinery, driven by demands for higher efficiency, lower maintenance, and environmental sustainability. However, their dynamic performance is highly sensitive to wear, thermal loading, and transient events such as rotor imbalances and high-speed start-ups. To address these challenges, the integration of AI into GFBs represents a promising advancement in industries. This paper presents a conc...
The evolution of high-speed machinery has been significantly influenced by the development and integration of advanced materials, particularly high-performance alloys and smart materials. Inconel 718, a nickel-based super alloy, stands out for its exceptional mechanical strength, corrosion resistance, and thermal stability, making it a preferred choice in aerospace, automotive, and power generation sectors. When compared to conventional alloys such as stainless steel or titanium alloys, Incon...
Investigated the influence of surface texturing and material selection on hydrodynamic journal bearing performance. Applied finite difference modeling to simulate textured surface interactions. Analyzed load carrying capacity and deformation behavior under identical groove textures. Focused on material-dependent lubricant film formation. Found that: Surface geometry significantly affects bearing performance. Material properties influence pressure generation and film stability. Provides insigh...
Ensuring safety in high-risk environments like industrial zones and construction zones is a basic requirement. Here, the use of helmets is a mandatory protocol to protect the workers from head injuries. But even if strict rules have been complied with in these industrial areas, real-world compliance is inconsistent due to negligence and ignorance. Traditional methods of surveillance-based monitoring are both resource-intensive as well as can be easily prone to human oversight. This research p...
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