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535 articles for “vector”
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Scientometric Insights and Meta-Analysis of Japanese Encephalitis Research in India
Abstract: Japanese Encephalitis (JE) represents India’s critical public health issue, contributing significantly to regional morbidity and mortality. This study details the findings from a scientometric analysis of JE research conducted in India. Our study analyzed scientific publications to uncover trends, key contributors, gaps, and the thematic evolution within JE research, providing insights critical for shaping future research and policy directions. A comprehensive scientometric analysis of research on JE published in India …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 43–53 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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Geo AI-Powered Urban Footprints
Abstract: In the contemporary era, building footprints are of paramount importance for accurate and current inventories in the development of infrastructure and geospatial analysis. Traditional methods, relying on manual digitization, were largely unsustainable as the urban regions were growing rapidly. Manual digitization was expensive and lacked geometric precision. This paper introduces an automated, end-to-end GEO AI-powered framework for high-end fidelity building footprint extraction from Google Satellite Data. Our approach for this …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Principal Component Analysis Based Dominant Features Selection Method for Speaker Identification
Abstract: Cepstrum based features are mostly used in speaker identification. Mel-frequency cepstrum coefficients (MFCCs) and their statistical properties (skewness, kurtosis and standard deviation) are used in this paper for text-dependent speaker identification. Principal component analysis (PCA) is employed to select the dominant feature vector representing the speaker characteristics. Multi-layer neural network is used as the classification engine. There occurs the inter-speaker variation of speech length uttering the same word. The feature …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 33–45 Read article
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Electric Vehicle Induction Motor Automated Drive System with Smart Battery Monitoring Performance for Range Exchanger
Abstract: This study describes the development of a model of an electric vehicle (EV) with a smart battery-powered inverter-controlled induction machine drive system. The computer simulation model in MATLAB Simulink is used to estimate the energy and power requirements of vehicles over standard driving cycles under various driving conditions. Here, using smart logic for battery performance, factors affecting range and energy use, helps to optimize maximum efficiency of battery and motor …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
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A Novel Approach for Morphological Attribute Profiles with Partial Reconstruction
Abstract: The classification of satellite images are difficult because of human eyes can see the colour of visible light mostly in three bands (RGB). The main shortcomings of existing system are leakage problem (when regions related to different structures in the image by connecting fake links leads to missing of certain objects), objects expected to disappear at a certain threshold remain present when objects were connected. And then if the small …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 1, 2019 · pp. 1–8 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 9–22 Read article
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Numerical and Experimental Modal Analysis of Square Sheets of Low Carbon Steel Under Different Boundary Conditions
Abstract: Dynamic analysis of square plates has been a subject of fundamental research interest over several decades. In these analyses, several dynamic aspects such as modal frequencies, occurrence of harmonics, mode shapes, displacement pattern of position vector, location of maximum displacement and damping characteristics are studied which provide critical inputs for structural design engineers. In this paper, a detailed modal analysis (both modal frequencies and mode shapes) of low carbon steel …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 2, 2023 · pp. 15–22 Read article
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A Technical Overview of Wind Power Generation System
Abstract: Wind energy is pollution free and unbreakable. Wind energy is an important test research for long range control for now. Wind power has been subject to primary concentration in building power for decades and a considerable measure of exploration work is underway on environmentally friendly power, clearly wind energy extraction. There are various segments of a WECS of which the most significant is the sort of generator utilized. There are …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 1, 2021 · pp. 1–5 Read article
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Direct Torque Control Based on Discrete-Time PI Controller of an SVPWM Inverter Fed Induction Motor Using Energy Model
Abstract: A direct torque control (DTC) of an induction motor (IM) with constant switching frequency has been presented in this work which is performed using space-vector modulation (SVM). The developed DTC scheme is based on the discrete-time PI controller strategy and this has been used to achieve direct control of torque of IM. To design the discrete-time PI (DTPI) controller the energy model of induction motor is simplified at the beginning …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 45–55 Read article
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Control of a Three Phase Grid-Connected Photovoltaic System with Maximum Power Point Tracking
Abstract: The power output of a photovoltaic system is greatly dependent on environmental conditions such as solar irradiation and ambient temperature. Due to the nonlinear nature of these conditions, the power output of the PV system is nonlinear. As a result, interfacing its output to the electrical grid is not possible. In order to achieve a grid connected photovoltaic (PV) system, controlled maximum power point tracking techniques are needed to obtain …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 52–64 Read article
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Performance Evaluation of Topology Based Routing Protocols for VANET in City Scenario
Abstract: Vehicular Ad-hoc Networks (VANET) is an emerging technology that will help in increasing road safety of commuters and comfort of passengers. In this paper, we compare various topology based routing protocols Sequence Distance Vector (DSDV), Ad-hoc on Demand Distance Vector (AODV) and Dynamic Source Routing (DSR) that are Mobile Ad-Hoc Network (MANET) protocols for their behavior in VANET networks, that is a subclass of MANET based on few parameters. The …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 47–54 Read article
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Effectiveness of Routing Protocol Using Cisco Packet Tracer
Abstract: Routing protocols play a crucial role in modern computer networks, and their effectiveness can impact the performance and reliability of a network. The choice of the routing protocol depends on the network topology and requirements, and selecting the right protocol can be a challenging task for network administrators. Cisco Packet Tracer is a simulation tool that allows network administrators to design, configure, and test network topologies in a virtual environment. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 3, 2022 · pp. 31–39 Read article
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Hybrid Intelligent Controllers for Highly Accurate Trajectory Tracking of Manipulator
Abstract: Due to the lack of accurate knowledge of robotic manipulator model, the highly precise trajectory tracking cannot be obtained. Moreover in these modern times, multiple design control objectives cannot be met by single controller, hence; there is a need for having two or more controllers at a time. Hence, more powerful and effective systems can be made by combining these intelligent controllers. In this regard, evolutionary optimized advance intelligent controller …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 17–30 Read article
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Study of Direct Torque Control of Three Phase Induction Motor by Matlab
Abstract: This paper presents the proposed direct torque control using space vector control which is based on a MATLAB/Simulink technique to replace proportional integral controller to control the torque of induction motor. The status of the torque and flux linkages applied the optimal switching logic. This optimal switching logic is used for the switching of three-phase inverter. The inverter output gives the controlled voltage vector that is applied to the induction …
Published in Trends in Electrical Engineering · Vol. 8, Issue 1, 2018 · pp. 24–29 Read article
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Matlab/Simulink Implementation and Analysis of SVPWM, SPWM and THIPWM: A Modular Approach
Abstract: The SVPWM technique has become more popular today than ever before due to the availability of fast digital systems for implementing this switching scheme. This is the preferred switching scheme for three phase inverters when compared to traditional SPWM. This paper describes a modular implementation and analysis of three popular switching methods employed in voltage source inverters: Space Vector Pulse Width Modulation (SVPWM), Sinusoidal Pulse Width Modulation (SPWM) and Third …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 23–35 Read article
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Modeling of The DFIG Wind Turbine
Abstract: This paper studies the power-speed characteristics and the fundamentals of wind electrical systems along with the modeling of the various wind turbine structures and simulation of the same using MATLAB-SIMULINK. It deals with the vector control and modeling of the Doubly-Fed Induction Generator (DFIG), which can maintain the DC link voltage. This paper focuses on the analysis of traditional decoupled d-q vector control approaches for control of DFIG wind turbines. …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 114–118 Read article
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Computation of Electromagnetic Energy Flux Due to various Distributions of Oscillating Electric Dipoles
Abstract: AbstractThe authors have discussed about the effects of cell phone radiations, its applications along with its adverse effects. In this work we have computed the energy flux received at some specified point (say the human head) due to some simple distributions of dipoles by computing the relevant electric, magnetic fields and finally the Poynting vector. We have shown that although for a symmetric distribution of emitters the energy flux vanishes …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 3, 2013 · pp. 17–25 Read article
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article