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70 articles for “Fuzzy PI”
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Timely Diabetes Possibility Prediction Using AI Techniques
Abstract: The fastest chronic life-threatening disease affecting more than 422 million people globally is diabetes. The primary causes of type 2 diabetes are lifestyle choices and environmental factors. It is a slowgrowing disease which starts to develop metabolic factors long before they evolve into a disease and is formally diagnosed by a fasting sugar test. There are records of indications related to diabetes from 520 patients in the dataset that was …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 37–47 Read article
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Recent Innovations in Power Converter Technologies for Grid Integration of Solar Photovoltaic System: An Overview
Abstract: Increasing penetration of renewable energy power system has introduced new kind of issues in power system which can cause various power supply issues like increased harmonics, ineffectiveness of protective devices, reliability problems as well as stability issues. Thus, there is required of new innovation in power converter control strategies which can provide better supply. Reliable synchronization, cost effectiveness and well suited for Solar PV system. New development in Fuzzy logic, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 6, Issue 1, 2019 · pp. 5–8 Read article
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Design of Smart Filter for Impulsive Noise Cancellation in Images
Abstract: Noise is nature inherent. It can affect any type of signal or noise at the time of acquisition. Impulsive is one of the noise which appears suddenly with the signal or noise. In this paper, we have considered the images affected by impulsive noise. A filter based on fuzzy logic is designed and it can suppress noise in any environment at any time. It is based on standard fuzzy rules …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 56–65 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Enhancement of Digital Mammograms Using Intuitionistic Fuzzy Entropy Function
Abstract: A novel intuitionistic fuzzy entropy-based algorithm is developed for increasing the contrast of digital mammograms. The contrast enhancement helps in the early detection of masses and microcalcification in tissues thus paving the way for the auxiliary diagnosis of breast cancer. The current techniques for the enhancement of digital mammograms do not consider the uncertainty in pixel intensities of mammograms. The proposed technique aims at enhancing the mammograms using intuitionistic fuzzy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 10–26 Read article
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Identification of Thyroid Disease Severity using Fuzzy C-Means
Abstract: Clustering is a primary data description method in data mining which group’s most similar data. Data clustering is one of the important problems in the fields of data mining, bio-informatics and pattern recognition. Various algorithms are used to solve this problem. This paper presents the performance analysis of k-means clustering algorithm and compares it with fuzzy C- Means (FCM) algorithm on Thyroid disease data set. We also find the accuracy …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 1, 2014 · pp. 13–19 Read article
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Performance of Smes Unit on Artificial Neural Network Based Multi-Area Agc Scheme
Abstract: The main objective of this paper is to develop Fuzzy controller to analyse the performance ofinstantaneous real active and reactive power (p–q) control strategy for extracting reference currents ofshunt active filters under balanced, un-balanced and balanced non-sinusoidal conditions. When the supplyvoltages are balanced and sinusoidal, the all control strategies are converge to the same compensationcharacteristics; However, the supply voltages are distorted and/or un-balanced sinusoidal, these controlstrategies result in different degrees …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 47–58 Read article
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RTDS Hardware Implementation and Simulation of 3-ph 4-wire SHAF for Mitigation of Current Harmonics using p-q Control strategy With Fuzzy Controller
Abstract: The main objective of this paper is to develop Fuzzy controller to analyse the performance of instantaneous realactive and reactive power (p–q) control strategy for extracting reference currents of shunt active filters underbalanced, un-balanced and balanced non-sinusoidal conditions. When the supply voltages are balanced andsinusoidal, the all control strategies are converge to the same compensation characteristics; However, thesupply voltages are distorted and/or un-balanced sinusoidal, these control strategies result in different …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 59–71 Read article
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A Survey of Edge Detection and Object Segmentation from Contour based Soft Computing Approaches
Abstract: Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging field with the wide applications in edge detection and image segmentation. Such a process of partitioning the pixels regions of the digital images with boundary between two homogenous regions refers to the detection of edges. There was various approaches that have been implemented to achieve the same but their performance and its scope of …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 16–20 Read article
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Review Paper for Different Techniques Using Image Enhancement
Abstract: AbstractImage enhancement (IE) performs a basic position in vision purposes. Lately, plenty of work has been carried out in the discipline of IE. Many tactics have already been proposed until now for reinforcing the digital pictures. This paper has presented a comparative analysis of quite several IE methods. This paper has proven that the fuzzy logic (FL) and histogram founded tactics have fairly amazing outcome more than the obtainable systems. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 27–32 Read article
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Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
Abstract: Clustering is a procedure to organizing the objects in to groups or clustered together, based on the principle of minimizing the intra-class similarity. The various clustering algorithms are analyzed and compare the performance of clustering algorithms on aspect for validity indices to build the model. The aim is to judge the efficiency of different clustering techniques on wine dataset and determine the optimum algorithm. The results show that complete linkage …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 54–71 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Use of Fuzzy Logic Method for the Optimisation of the Wear Parameters of Aluminum Alloy
Abstract: In this paper, use of fuzzy logic in the Taghuchi method for the optimisation of the wear parameters of aluminum alloy is explained. An experiment was conducted on three alloys viz. Al-25Zn-2.5Cu-5SiC, Al-25Zn-2.5Cu-10SiC, Al-25Zn-2.5Cu-15SiC. Experiments were carried out on standard pin-on-disc machine, at ambient temperature and under dry operating condition. The three process parameters like sliding velocity, load and sliding distance were optimized. In the Taguchi method, L27 orthogonal array …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 20–25 Read article
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Numerical Simulation and Design of Efficient Brain Tumor Segmentation with Hybrid Fuzzy K-Means Clustering Technique
Abstract: The goal of this study is to detect brain cancers from MRI images using a Matlab GUI interface. Using the GUI, this application may employ numerous combinations of segmentation, filters, and other image processing methods to produce the best results. We begin by applying the Prewitt horizontal edge-emphasizing filter on the image. “Watershed pixels” are the next step in detecting tumours. The most essential aspect of this project is that …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 8–17 Read article
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Fuzzy Logic and Energy Model based Speed and Direct Torque Control of SVPWM Inverter Fed Induction Motor
Abstract: This paper presents speed and direct torque controllers based on fuzzy logic for a space-vector modulated pulse width modulated inverter fed induction motor. The direct torque control has been designed by decoupling the torque and flux based on the energy model of induction motor. The designed direct torque control system can be accomplished by using constant switching frequency with space vector modulated pulse-width modulated inverter. In order to control the …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 11–21 Read article
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Maximum Power Tracking using PI Controller in Photovoltaic System
Abstract: Maximum power point trackers are efficient enough to enhance an efficiency of the photovoltaic system. So many methodologies have been proposed up to this date to achieve maximum power. PV modules are capable of generating maximum power under diverse atmospheric conditions. The base paper proposed an MPPT (Maximum Power Point Tracking) algorithm that based on fuzzy logic for a solar system. The solar panel is analyzed and then simulated by …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 2, 2020 · pp. 22–27 Read article
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Design and Implementation of Intelligent Obstacle Avoiding Robot
Abstract: The Intelligent Obstacle Avoiding Robot is an autonomous robotic system designed to navigate safely through unknown or congested environments by detecting and avoiding obstacles in real time. This robot integrates sensor modules, embedded control systems, and intelligent decision-making algorithms to achieve smooth and collision-free movement. Ultrasonic, infrared, or LiDAR-based sensors are used to continuously measure the distance between the robot and surrounding objects. The sensor data is processed by a …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 1–6 Read article
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Prediction of shear strength of reinforced concrete beams using Artificial Neural Network and evaluated by Finite Element Software
Abstract: ABSTRACTIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Framework (ANFIS) are utilized to foresee the shear quality of Reinforced Concrete (RC) shafts, and the models are contrasted and American Concrete Institute (ACI) and Iranian Concrete Institute (ICI) observational codes. The ANN display, with Multi-Layer Perceptron (MLP), utilizing a Back-Propagation (BP) algorithm, is utilizedto foresee the shear quality of RC pillars. Six vital parameters are chosen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 34–42 Read article