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219 articles for “Error analysis”
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Analysis of M-MRC Receiver over Nakagami-m Fading Channels using Wireless Information and Power Transfer System
Abstract: AbstractThe expression for the performance of Outage probability and Average bit-error rate (ABER), have been presented in this paper, considering an arbitrary branch Maximal Ratio Combining (MRC) Receiver, over Nakagami-m Fading Channels using simultaneous wireless information and power transfer (SWIPT). For the SWIPT system, a Power splitter (PS) at the receiver side has been employed, which splits the received signal into the information transmitter and the energy harvesting parts. A …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 49–54 Read article
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Analysis of M-ary Signaling for Weak Turbulence Regime in FSO Communication System
Abstract: Abstract: The need for high data rate LOS communication is accomplished using the Free Space Optical communication. Being a very cost-effective approach, it contributes to the easy set-up and deployment of point to point terrestrial link. It transmits the light signal in free space channel (air, vacuum etc.) using LASERs or LEDs and received via photodetector. In this paper, the channel is modelled using Lognormal turbulence model. This channel model …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 24–31 Read article
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Refractive symmetry analysis of fellow eyes
Abstract: The biological structure of human body frequently exhibit symmetry. The hypothesis of refractive symmetry assumes that the two eyes of an individual should have homogeneous refractive properties. Optometry clinical management mostly rely upon meridional magnification effect, spatial distortion, and binocular spatial perception while prescribing refractive correction. Additionally, bilateral symmetry analysis approach has proven very informative for better diagnosis. This study was multi-centered, cross-sectional, analytical, and retrospective, where we studied refractive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 17–35 Read article
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Comparison of Speed Control of PMSM using Adaptive Fuzzy Logic Controller and PI Controller
Abstract: Permanent Magnet Synchronous Motors (PMSM) are widely used in low and mid power applications such as computer peripheral equipment, robotics, adjustable speed drives and electric vehicles. The growth in the market of permanent magnet motor drives has demanded the need of simulation tools capable of handling motor drive simulations. Simulations have helped the process of developing new systems including motor drives, by reducing cost and time. In a closed loop …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 3, 2018 · pp. 24–30 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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Multi-variable Analysis and Optimization of Electrical Discharge Machining Process Using a PCA-ANN Based Approach
Abstract: AbstractThe optimum selection of process parameters has played a crucial role in electrical discharge machining (EDM) for improving the material removal rate, reducing the tool wear rate and radial overcut. In this paper, optimum parameters while machining 202 stainless steel using copper electrode as a tool has been investigated. For optimization of process parameters along with multiple quality characteristics, principal component analysis coupled with artificial neural network method has been …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 39–45 Read article
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Flexibility Analysis of Refinery Piping System
Abstract: Piping systems in downstream refineries and process plants experience a great thermal strain due to the difference between ambient and operating temperatures of process and utility fluid flowing through them. This thermal growth causes thermal stresses which leads to failure in piping components like flange leakage, deflection in piping, fractures at nozzle juncture and other fatal errors in piping system. Therefore, these piping structures must be flexible enough to support …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 53–59 Read article
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Probabilistic Sensitivity Analysis of Cover Quantity and Quality of Reinforced Concrete Structures
Abstract: Design procedures based on current specifications do not always ensure required service life, mostly due to the environmental effect, error at the time of construction and underestimated cover properties at the time of design. Moreover, single-point value of any property does not provide rational support to the decision maker. Statistical resampling technique for each of the cover properties used to find out the service life of the structures is thus …
Published in Journal of Construction Engineering, Technology & Management · Vol. 2, Issue 1-3, 2012 · pp. 48–53 Read article
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A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 Read article
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INTEGRATION OF REVIT TO MICROSOFT PROJECT FOR CONSTRUCTION PROJECT MANAGEMENT: A COMPARATIVE ANALYSIS OF SCHEDULING AND RESOURCE ALLOCATION
Abstract: Building Information Modelling (BIM) has revolutionized the construction sector by having architectural, structural, and mechanical design on one 3D platform. Autodesk Revit application enables real-time updates and changes without increasing errors and omissions. Its parametric nature allows users to develop intelligent models, enhancing decision-making, resource allocation, and cost estimation. Revit's visual representation allows effective coordination and communication with stakeholders, promoting a higher degree of client satisfaction. The application and benefits …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 13–46 Read article
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Seismic Control System for Vertically Irregular Buildings
Abstract: Behavior of High rise building mainly depends on their structural planning. In this present study, a G+20 storey RCC building having vertical setback irregularity above tenth storey is considered. Due to such irregular configuration building becomes more vulnerable to seismic vibration. To control these vibration stiffeners are used at suitable positions, by going through trial and error method. The parameters considered for comparison are fundamental time period, storey displacement and …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 3, 2023 · pp. 1–11 Read article
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Performance Enhancement of Cognitive Radio Spectrum Sharing (CRSS) with MIMO System
Abstract: A key challenge in operating cognitive radios (CRs) in a self-organizing (ad hoc) network is to adaptively and efficiently allocate transmission powers and spectrum among CRs according to the surrounding environment. Cognitive radio networks will provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques. CR networks inflict challenges due to the fluctuating nature of the available spectrum, as well as the diverse QoS requirements …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 13–18 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Fast Fuzzy Network Model
Abstract: Fuzzy is applied to design a network model for performing efficiently in this paper. The probability theory is applied to analyze the existed network model and the advantages transformed into the proposed fast fuzzy network model. Various analysis techniques and formulations are presented in this paper. The resultant is the fast fuzzy network with minimized error and maximized the security over the standard computational complexity.
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 2, 2019 · pp. 33–38 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 Read article
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Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future
Abstract: As IT systems become increasingly complex, the demand for efficient and automated management solutions is more critical than ever. This paper investigates the pivotal role of shell scripting in the development of autonomous systems that can self-manage and optimize their operations. Shell scripting, with its powerful automation capabilities, serves as a foundational tool for orchestrating various tasks, including system monitoring, data analysis, and deployment processes. We begin by examining current …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 17–31 Read article
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Analysis of Quicklime Production from Eggshell through Factorial Study
Abstract: Factorial analysis is a method used in experimental design to assess the impact of different input factors on the resulting output. Quicklime is used extensively in many sectors, including those that produce paper, glass, tannery products, agriculture, water treatment, building, and agriculture. This study focused on evaluating key parameters in the calcination process, specifically calcination temperature, calcination time, and the size of eggshell and snail shell particles. The study successfully …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 18–22 Read article
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Design And Validation of High Efficiency Of 10T Sram with High Recoverability Of Multi Node Soft Error
Abstract: Sensitive nodes' critical charge is decreasing, which increases the soft-error vulnerability of SRAM cells used in aerospace applications. A single event upset (SEU) occurs when a radiation particle hits a sensitive node in a typical 6T SRAM cell, flipping the data that has been stored in the cell. Consequently, a Soft-Error-Aware Read-Stability-Enhanced Low Power 10T (SARP10T) SRAM cell is suggested in this project to reduce SEUs. The quadro cell exhibits …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 7–14 Read article
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Neglect Analysis Using Semantic Picture Priming Paradigm among Hindi Speaking Developmental Dyslexics
Abstract: Introduction: Developmental dyslexia is a condition that is characterized by difficulties that mainly affect the ability of a child to read, write, calculate and spell. Developmental dyslexics may have neglected due to subtle weakness in a string of cortical areas on the bilateral dorsal pathway of the brain. Aim of the study: To analyze the presence of neglect in semantic picture priming paradigm among Hindi developmental dyslexics and typically developing …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 2, 2019 · pp. 39–45 Read article