This paper presents a Look Up Table (LUT) based pre-computational (PC) Arithmetic Logic Unit (ALU) for RV32M. The proposed ALU provides low power consumption and high speed for application specific purpose where the input of the ALU is repeated several times. The proposed ALU integrates LUT based on pre-computational mechanism with the multiplier and control logic unit which store the computational results of frequent operands. The system avoids unnecessary arithmetic operations, thereby redu...

The open source nature of the RISC-V architecture has led to its rapid adoption across various computing domains, from embedded IoT devices to high-performance computing. However, this openness also introduces unique security challenges. The background study done in the paper highlights the ongoing works in the field of RISC-V vulnerabilities and counter measures, suggests the need of security framework addressing key vulnerabilities. We identify cache-based side-channel attacks as a signific...

This paper presents a distinctive and robust framework for the automatic diagnosis of anxiety levels from single-channel ECG signals acquired using wearable ECG sensors, for accurate mental health monitoring and timely interventions. This work reports on a nonlinear energy operator-based R-peak detection technique with time-frequency analysis via the Iterative Multisynchrosqueezing Transform (I-MSST). R-peak detection provides precise extraction of heart rate variability (HRV) features, where...

The growing demand for large-aperture spaceborne antennas necessitates innovative structural solutions that are lightweight, compact, and capable of reliable deployment in orbit. This study presents the design and development of a deployable canister mechanism for an inflatable planar membrane reflector antenna intended for small satellite platforms. The proposed system integrates a two-step configuration for the canister deployment. The canister mechanism employs a flexural based deployment ...

Geopolymer mortar (GPM), which utilizes aluminosilicate precursor materials as binders, has emerged as an environmentally friendly alternative to ordinary Portland cement mortar (OPCM). These precursor materials typically include natural sources like metakaolin and volcanic ash, along with industrial by-products such as fly ash (FA) and ground granulated blast furnace slag (GGBFS). While GPM eliminates the need for cement, it still faces environmental challenges due to its reliance on natural...

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...