Search
43 articles for “Fuzzy Rules”
-
Semantic Classification of Images in Hierarchical Manner using Fuzzy Rules and HSVM Classifier
Abstract: Hierarchical structure classification is more effective in concept based classification. The feature vector is varying with the different concepts, though it belongs to the same class. Images which are similar in appearance are not correlated semantically. Hence an author made an attempt to classify the images in the dataset in concept wise in a hierarchical manner. For this, an author manually clustered the same concept images in a layer by …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 33–54 Read article
-
Application of Image Denoising through Comorbid Pixel Regularization Algorithm based on Neuro-Fuzzy Rule
Abstract: This study presents a novel approach of image denoising for medical images. Since, for medical diagnosis, action of object extraction plays a vital role but such jobs are limited with the visual observation and there is no denying from the fact that the medical images are subjected to noise which makes it difficult for the medical practitioner to extract features from such noisy images. Therefore, for accurate decisions it is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 2, 2014 · pp. 7–11 Read article
-
Fuzzy Logic and Fuzzy Logic Sun Tracking Control
Abstract: Fuzzy logic could be a rule-based call method that seeks to unravel issues wherever the system is tough to model and where ambiguity or unclearness is thick between two extremes. Mathematical logic permits the system to be outlined by logic equations instead of complicated completely differential equations and comes from a thinking that identifies and takes advantage of the greyness between the 2 extremes. Mathematical logic systems are composed of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 3, 2021 · pp. 9–19 Read article
-
A New Approach to Reduce Guassian Noise in Images using Fuzzy Logic
Abstract: The quality of an image in any image processing algorithm plays a vital role as the quality of image is a primary thing. There are several techniques employed to enhance the quality of the image. Few techniques are applied to all images irrespective of the noise and few are employed to reduce particular type of noise present in the images. In this paper a new method is used for the …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 7–11 Read article
-
Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model
Abstract: AbstractThis article provides an overview of the decision tree induction software and random forest ensemble. The general programmatic principles of building a fuzzy decision tree in the Microsoft Visual Studio integrated development environment using the object-oriented C # language on the. Net Framework platform are described. It can be used to develop a hybrid ensemble classifier model.
Published in Recent Trends in Programming languages · Vol. 7, Issue 3, 2020 · pp. 8–16 Read article
-
Application of Portfolio Using Fuzzy Logic
Abstract: ABSTRACTA portfolio has to match the portfolio of long-term liabilities with the portfolio of assets. Key instruments in strategic asset liability management (ALM) are the adjustment of investments with respective policies and their interest rate analogous with the scenario of the market. We have given mathematical formulation of the investment problem in terms of stochastic problem (SP) and finally represented it in terms of Fuzzy Inference Engine by providing a …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 16–25 Read article
-
A Multi-Hop Power Adaptive MAC Protocol using Fuzzy Logic for Wireless Networks
Abstract: AbstractPower-based connectivity is a recent research topic in ad hoc networks. Implementing power control mechanisms is essential to enhance the lifetime of the network, and also to improve the throughput, find cost-effective routes and spatial reuse. In this paper, MAC protocol is used for implementing coordination functions and power-control mechanisms using fuzzy rules. Fuzzy rules are generated by upper layers of the network layer using two input variables such as …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 3, 2013 · pp. 1–9 Read article
-
K-NN Classification and Thresholding by Fuzzy If-Then Rules using Texture and Shape Feature
Abstract: In present scenario image retrieval is the basic requirement, because of different types of images features are added in database from different sources are available for image retrieval. In Content Based Image Retrieval ‘content based’ means that the search will analyze the actual contents of the image. In this paper texture and shape features are extracted and classifications of images are done with K-Nearest Neighbour. The Fuzzy concept If-Then rules …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 2, 2015 · pp. 1–11 Read article
-
Performance Comparison of MANET based on Data Rate and Packet Loss using Fuzzy Logic Controller
Abstract: AbstractMobile ad-hoc networks consist of mobile nodes. These nodes do not follow any particularly topology. Now days many humans are dependent on internet for their daily chores but congestion is one of the major issues, which affect the data network. Real time multimedia applications have come into existence like audio, video etc. So, the congestion problem is also increasing. Thus, in order of control congestion, various schemes have developed. In …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 3, 2017 · pp. 25–33 Read article
-
An Approach to Translate English Voice to Bangla Text for Android EnvironmentAn Approach to Translate English Voice to Bangla Text for Android Environment
Abstract: Voice recognition and machine translation (MT) has become the open research field in the recent years. Voice or speech recognition technique has improved vastly and MT is getting more popular to the modern generation day by day. In this work, we describe the construction method of MT sentence with the help of Google voice recognizer. An adapting rule based statistical MT system has been used to translate the English sentence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 23–28 Read article
-
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
-
Auto Tuning of PI Controller using Fuzzy Logic for the Spherical Tank System and its Real Time Implementation
Abstract: In this paper, Auto Tuning of PI controller using fuzzy logic is developed to improve the performance of the spherical tank process. A real time implementation of proposed controller for a spherical tank to control liquid level is studied. Control of liquid level in a spherical tank is highly non linear due to variation in the area of cross section of level system with change in shape. System identification of …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 28–37 Read article
-
Performance Analysis of FLC-NR based Loss Minimisation Algorithm for BLDC Motor
Abstract: Brushless DC motors are increasingly used in industry due to their high power density and ease of control. Efficiency of BLDC motor is reduced due to various losses like copper loss, core loss and switching loss. A fuzzy logic based loss minimisation algorithm is described in this study. Selective harmonic elimination-based pulse-width modulation to optimise both the converter switching losses along with machine core and copper losses is done based …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 51–59 Read article
-
Energy Management of a Solar Powered Electric Vehicle with Multiple-Energy Storage via Optimized Fuzzy Controller
Abstract: The optimum energy management is the main challenge of powered electric vehicles (EVs) with multiple energy storage systems. The solar powered EVs are enabled with multiple energy sources and storages, and so, achieving the optimum energy management schedule is a complicated optimization problem. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for energy management of solar powered EV equipped with photovoltaic cells as well as two power …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 3, 2016 · pp. 28–38 Read article
-
Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
-
Hardware Implementation of Configurable Multi Image Fusion
Abstract: Multifocus images make it difficult to describe a scene accurately. Hence, the fusion of two or more images forms a good solution in order to obtain a new image containing more appropriate description of the scene than any of the input images. This paper presents a method of image fusion which uses stationary wavelet transform and fuzzy logic. By overcoming the disadvantages of discrete wavelet transform such as downsampling and …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 6–15 Read article
-
Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
-
Optimization of Resource Allocation in OFDM Communication System for Different Modulation Technique using FRBS and PSO
Abstract: Orthogonal frequency division multiplexing (OFDM) is technique that is chosen for high data rate communication and is important for 4th generation communication system. Resources such as power, bandwidth are limited, thus intelligent allocation of these resources to users are crucial for delivering the best possible quality of services. Fuzzy rule-based system (FRBS) and particle swarm optimization (PSO) algorithm are used for optimization of code rate, modulation and power. FRBS is …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 29–35 Read article
-
Generating Weights for Fuzzy Decision Making Mechanism to Diagnose Heart Disease
Abstract: AbstractHeart disease is one of the diseases spread around the world. It suddenly kills the human community. So use of fuzzy logic to diagnosis the heart disease is essential. So the study was conducted with the following components. They are fuzzification, fuzzy decision making mechanism and defuzzification. The crisp values are changed into fuzzy values by fuzzification. Fuzzy decision making mechanism is based on adaptive neuro fuzzy inference system which …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 7–13 Read article
-
Novel Algorithm for Finding the Range of Fuzzy Values for Quantitative Data Sets by Data Mining and Fuzzy Technique
Abstract: We all know, when we have large data sets, then applying data mining association rule is difficult. Fuzzy based classification technique is to overcome above problem. This technique divides the large data sets in two parts. First part carries useful data sets and second part applies data mining association algorithm. We can also be able to find the frequent classes or frequent fuzzy values of quantitative data sets. We also …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 27–32 Read article