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141 articles for “filter”
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Literature Review and Research Gaps in Power Quality Enhancement: From Conventional Methods to Intelligent Solutions
Abstract: Power quality (PQ) has become a critical concern in modern electrical power systems due to the rapid integration of renewable energy sources, proliferation of power electronic devices, and increasing sensitivity of loads. This paper presents a comprehensive literature review and research gap analysis of power quality enhancement techniques, ranging from conventional approaches to emerging intelligent solutions. Traditional methods, including passive filters, capacitor banks, and synchronous condensers, have been widely employed …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 38–80 Read article
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Experimental Analysis of Nano-carbon Doped Alumina for Industrial Applications
Abstract: The use of nano-carbon metal matrix composites can provide a solution to the enduring issue of optimal material selection and optimization for getting metal-insulator transition (MIT) behavior at a particular frequency at ambient temperature. Other substances, like two-dimensional (2D) transition metal dichalcogenides (TMD), vanadium oxide (VO2), and germanium telluride (Ge-Te), have difficult challenges in achieving effectively the MIT property at a given frequency and temperature. It is also difficult to …
Published in Journal of Polymer & Composites Read article
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Stilbenes: A Molecular Docking and ADMET Analysis Approach on an Emerging Resource for Scavenging Reactive Oxygen Species in the Field of Colon Malignancy
Abstract: Objective: Colon malignancy, also referred to as colon cancer, originates as precancerous polyps in the colon or rectum, which have the potential to thrive and progress into cancerous tumors over time. This study delves into various bioactive compounds (from natural sources like plants) to assess their potential efficacy in inhibiting colon malignancy as compared to conventional methods. Methods: The objective of this study was to employ computational methodologies to evaluate …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 29–38 Read article
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Drilling Fluid Characterization (Filtration Test)
Abstract: This report explores the formulation and testing of a water-based drilling mud used in drilling operations, where fluid circulates through the drillstring and returns to the surface. The study mixes 315 ml of water with 35 ml of corn oil to create the drilling mud and investigates the role of barite in increasing mud density to maintain a hydrostatic pressure capable of managing formation pressure. The findings reveal that increasing …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 17–26 Read article
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Ag₂S–Ag Nanocomposites: A Bottom-Up Approach to Enhance Thermoelectric Power Factor at Near Room Temperature
Abstract: The intrinsic ductility, low toxicity, and naturally occurring abundance of silver sulphide (Ag₂S) have made it a potential thermoelectric material in recent years. However, high electrical resistance severely limits its practical application. Here, we present a thorough analysis of how metallic Ag nanoinclusions affect the structural, electrical, and thermoelectric characteristics of Ag₂S nanocomposites made using a simple bottom-up polyol approach. (Ag₂S)₁₋ₓAgₓ nanocomposites with an Ag content ranging from 0 to …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 40–55 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi₂Te₃ Nanorods Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi₂Te₃ nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi₂Te₃ with the emergence of Bi₂Te₃–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 34–44 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Analysis of Power Quality Disturbances in Distribution Systems with Renewable Energy Integration
Abstract: The growing integration of renewable energy sources within the electrical distribution systems has greatly altered the working dynamics of the contemporary power grids. The introduction of intermittent and nonlinear sources (solar photovoltaic and wind energy systems) leads to a wide range of power quality disturbances, however. The current paper includes the in-depth examination of the problem of power quality in the distribution systems with the integration of renewable energy. The …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Intelligent Power Quality Enhancement Strategies for PV-Integrated Smart Distribution Networks: A State-of-the-Art Review
Abstract: The rapid integration of photovoltaic (PV) systems into modern power distribution networks has introduced significant challenges related to power quality. Issues such as voltage fluctuations, harmonic distortion, flicker, and reactive power imbalance arise due to the intermittent and nonlinear nature of solar energy generation. This paper presents a concise literature review of various power quality enhancement techniques employed in PV-integrated networks. Key approaches include the use of active power filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 30–53 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics 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 Read article
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A Ponder & Sedulousness Of Legion Shale Stabilizing Materials In Aqueous Based Drilling Fluid During The Process Of Borehole Strengthening
Abstract: Drilling fluid used while drilling the layers of shale will have the potential of reacting with water which tends to increase stickiness, induce swelling and promote sloughing of the borehole. This results in the reduction of drilling fluid circulation, increased mud loss, increase in torque and drag, reduction in lubricity. This will ultimately result in the increase of Non-Productive Time (NPT) during drilling which in turn increases Capital Expenditure (CAPEX) …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 35–40 Read article
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Gene prioritization of colorectal cancer using computational approach
Abstract: Colorectal cancer (CRC) continues to be a major worldwide health issue, underscoring the need to pinpoint crucial genetic elements influencing its initiation and advancement. In this investigation, we utilize sophisticated computational methods to prioritize potential genes linked to CRC development. Through the utilization of various bioinformatics tools and comprehensive methodologies, we systematically examine extensive microarray datasets to identify potential genetic contributors. Initially, a vast amount of CRC microarray data (approximately …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 39–52 Read article
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Enhancing User Engagement and Content Relevance: A Novel Approach to Social Media Post Recommendation System
Abstract: The social media post recommendation system is an innovative solution aimed at optimizing content delivery for users in today's digital age. Its primary motive is to tailor online experiences, ensuring users receive posts most relevant to their preferences. Various machine learning algorithms are employed to suggest related posts. This system leverages advanced algorithms and analytics, producing key results that highlight user engagement metrics and content relevance. Preliminary findings of this …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Design of Disturbance Observer for Third- Order Interval Plants
Abstract: This paper outlines the development of a disturbance observer (DOB) specifically tailored for third-order interval plants, which are distinguished by uncertainties in their parameters. Utilizing an interval-based modeling approach, this design effectively captures variations in system dynamics, providing robust control solutions for plants with parameter uncertainties. The key focus is creating a disturbance observer capable of real-time estimation and compensation for external disturbances and model uncertainties. The proposed DOB is …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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Evaluating the Efficacy of Implosion Water Treatment Versus Traditional Methods
Abstract: The first worry of all people is the quality of the water. The majority of the water that is accessible is unfit for immediate usage. Certain methods are frequently employed to purify water for optimal use. These methods include UV treatment, chemical treatments, reverse osmosis, filtration, and ultrafiltration, among others. Each of these water treatment methods is applied separately or in combination. There are benefits and drawbacks to each of …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 10–21 Read article
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Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are …
Published in Recent Trends in Electronics Communication Systems Read article
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Design and Simulation of LNA in 90 nm CMOS Technology for Radio Receiver using the Cadence Simulation Tool
Abstract: Due to its successful operation in the 2.4 GHz frequency region, often known as the ISM (Industrial, Scientific, and Medical) band, RFICs play a vital role in communication systems. The major parts being used transceivers for frequency translation and amplification are LNA and Mixers. Different types of mixers and LNAs are employed, and different strategies are used to optimize them. In this paper an approach for design and simulation of …
Published in International Journal of Digital Communication and Analog Signals Read article