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219 articles for “Error analysis”
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Model based Tuning of PID Controller
Abstract: In this paper PID controller with Internal Model Control tuning method (IMC-PID) is presented for robust operation. The implementation of IMC is simplified in large class of industrial applications as the process dynamics can be adequately characterized by a First Order plus Delay Time (FOPDT) model. Tuning of the controller is easily done by adjusting the filter time constant which provides improved performance and robustness of the closed loop system. …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article
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A Suboptimal Nonlinear Duty-cycle Modulation Scheme
Abstract: The DCM (duty-cycle modulation) technique is increasingly used in industrial electronics applications, including instrumentation systems, interfacing drivers and signal transmission chains. However, in existing research works related to new applications of DCM technique, the linear approximation policy is used for the sake of structural simplicity and low implementation cost, at the expends of rigorous analysis and low approximation errors. In this paper, a suboptimal nonlinear DCM scheme is developed. It …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 22–31 Read article
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Discourse Abilities in Persons with Psychogenic Disorders
Abstract: The study was carried out with the aim of determining the discourse abilities in neurotypical participants and persons with the psychogenic disorders. 10 neurotypical participants and 5 persons diagnosed with psychogenic disorders were considered. Amongst the 5 persons diagnosed with psychogenic disorders, two participants each were diagnosed with anxiety disorder; schizophrenia and one participant diagnosed with bipolar disorder were considered. Picture description was carried out on the participants, a total …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 3, 2018 · pp. 9–11 Read article
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Effect of Outdated CSI in a Multiuser TAS/MRC System over Correlated Nakagami-m fading
Abstract: The TAS/MRC system is a widely accepted technique to reduce the complexity level of a multiuser MIMO system with little reduction in the performance. This increases the practical applicability of TAS/MRC system. In TAS/MRC algorithm the channel state information (CSI) is provided to the transmitter for selection of best transmitting antenna for better system performance. However, two important factors may reduce the performance of the TAS/MRC system considerably, out dated …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 38–46 Read article
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Comparative Analysis of Power Penalty versus Crosstalk in Optical Active Network Components like Erbium Doped Fiber Amplifier, Raman Amplifier and Semiconductor Optical Amplifier
Abstract: AbstractOptical amplifiers boost the power of optical system without optoelectronics (O-E-O) conversion. The optical amplification process is accompanied by Amplified Spontaneous Emission (ASE) noise that accumulates along the transmission line and degrades the optical signal to noise ratio (OSNR). Intensity modulation in one channel causes crosstalk in the other channel via the change of the complex refractive index in the amplifier. In this paper, authors tried to calculate and compare …
Published in Trends in Opto-electro & Optical Communication · Vol. 3, Issue 1, 2013 · pp. 1–10 Read article
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
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Errors-in-Variables Model for Photovoltaic Cell
Abstract: AbstractThe contribution of solar energy to the world's total energy supply has grown significantly. Energy from the sun is the most abundant and freely available energy on the planet. So, the importance of modelling the photovoltaic cell also increased remarkably. Many models for photovoltaic cell had been proposed since the beginning of the solar energy exploitation. Electronic equivalent circuit models, first-principles models and empirical models are the different modelling techniques …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 3, 2019 · pp. 8–15 Read article
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Implementation and Analysis of Linear Electrical Networks using Interval Arithmetic on FPGA’s
Abstract: Interval arithmetic provides better method for monitoring and controlling errors in scientific calculations. Interval arithmetic can be used to obtain an analysis of linear electrical networks using hardware description language (HDL). In this paper the mean value theorem is used to analyze the circuits and implemented on hardware. The mean value theorem is applied for three different circuits i.e., for first order, second order and third order analog circuits. The …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 14–21 Read article
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Luminodeficit: The Paradox of High Rent and Abandoned Interiors
Abstract: The paradox of high rent and poor daylighting in residential buildings is a pressing issue in urban areas like Port Harcourt, Rivers State, Nigeria. Despite paying premium rents, many residents experience inadequate daylighting, leading to unexpected behavioral outcomes. This study aims to explore the effects of daylight deprivation on residents of high-rent residential buildings in Port Harcourt. It investigates how poor daylighting influences indoor time spent and overall occupant satisfaction, …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Efficient Partial Update Algorithm over Wireless Networks
Abstract: Adaptive partial update algorithm is developed based on incremental method. The proposed algorithm applies in real time changing environment. The proposed algorithm responds to linear estimation with nodes in cooperative manner and less number of computations. The algorithm has powerful advantage is that it requires less number of coefficient and reduced computational and communication complexity in wireless sensor network. It is efficient because it has power of solving distributed estimation …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 1–8 Read article
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Paramedical Emergency Planning and Response System for Mysuru City using GIS Techniques
Abstract: This study is conducted to create a real-time application for paramedical emergency planning and response for Mysuru city. The transportation network of the city is plays a vital role for any emergency cases. It provides the connectivity and accessibility from one place to another place. The location of Hospitals , accident spots, traffic junctions, one way details were imported to geo-database and also road network map have used and fixed …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 1–6 Read article
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Design of a Closed Loop Boost Converter with Parametric Variation Analysis of PI Controller for Constant Output Voltage Applications
Abstract: The DC-DC converters have an unregulated input dc voltage and a constant or regulated output dc voltage. Switching DC-DC voltage converters have two elements: A controller and a power stage. The power stage regulates the switching elements and converts input voltage to output voltage. The controller controls the switching operation to regulate the output voltage. The two systems are linked by a feedback loop that compares the actual output voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 1–13 Read article
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Detecting Winding Movement by Fuzzy Logic for Frequency Response of Power Transformer
Abstract: Power transformers are basically one of the most efficient devices that are used in Power Plant or in any substation. Its maintenance is bit some tedious but has to be done to diagnose any severe fault that may damage the transformer. Sweep Frequency Response Analysis (SFRA) is used to detect any winding or core deformation in transformer that would arise during transportation, due to severe short circuits or due to …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 25–34 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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A Pre-experimental Evaluation of a Structured Educational Program on Awareness of Mosquito-borne Diseases in Senior Secondary School Students in Punjab
Abstract: Introduction: Mosquitoes constitute the most important single family of insects from the standpoint of human health. They are found all over the world. The four important groups of mosquitoes in India that are related to disease transmission are the Anopheles, Culex, Aedes, and Mansonia. Aims: The aims of the study are to assess the effectiveness of structured teaching program on knowledge regarding mosquito-borne diseases among students of senior secondary schools …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Wind Speed Forecasting
Abstract: AbstractAs the world exhausts its non-renewable energy reservoirs, building predictive models for renewable energy dependencies comes important a fortiori. In this study we examine how well a Deep Neutral Networks performs on wind speed data in a time series forecasting. The data used are based on wind speed readings acquired at the first-of-its-kind LiDAR based offshore which is situated at the Gulf of Khambhat, Gujarat, which is about 23 km …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
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Parameter Identification at Large Scale through Solution of the Inverse Problem
Abstract: The fundamental benefit of groundwater modeling is to predict the response of the aquifer to the proposed man-mad excitation (e.g., pumping artificial recharge). Inverse analysis is frequently used for large-scale real-world problems, where the number of unknown parameters that will fully represent the heterogeneity becomes very large and the inverse analysis solution becomes ill-posed, to overcome this problem, in the present paper the study domain is divided into zones connected …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 25–39 Read article