scholarly journals Detection of malignant Cases by Segmentation of Cells in Medical Images and Applying Fuzzy Logic Technique

2019 ◽  
pp. 71-74
Keyword(s):  
Fuzzy Logic ◽  
Medical Images ◽  
Fuzzy Logic Technique

Real Time Image Fusion Based Technique for Medical Images

2020 ◽  
Vol 17 (9) ◽  
pp. 4500-4508
Author(s):  
H. R. Ramya ◽  
B. K. Sujatha
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Image Fusion ◽  
Real Time ◽  
Medical Images ◽  
Computation Time ◽  
Real Time Image ◽  
Fuzzy Logic Technique ◽  
Time Image

To tackle the cost of storage and storage space with fast-growing technologies, the image fusion is playing an important role in several image-processing areas such as medical-imaging and satelliteimaging. This fused picture is appropriate for machine perception, human visual analysis or further analysis assignment. Recently the computing method such as fuzzy logic model has been extensively used in the field of image-processing due to the uniqueness of handling uncertain modeling. The fuzzy logic based image-fusion model generally performed better with respect to other existing image fusion models. In this paper, we considered type-2 fuzzy logic, which has similar function to earlier fuzzy logic technique but consist more functionality that allows optimized management of higher degrees under uncertainty. Interval type-2 fuzzy-logic-system (IT2FLS) are widely used fuzzy sets due to their ease of use and computational simplicity. A real time image fusion (RTIF) technique that is based on the IT2FLS is used to overcome the excess computation time and nonlinear uncertainties, which is present in the medical images. In the result simulation section, we have shown that our proposed model has taken less computation time and provided better quality assessment matrices with respect to existing system.

Cholera Disease Detection using Fuzzy Logic Technique

2021 ◽  
Author(s):  
Swati Jayade ◽  
D. T. Ingole ◽  
Manik D. Ingole ◽  
Aditya Tohare
Keyword(s):  
Fuzzy Logic ◽  
Disease Detection ◽  
Fuzzy Logic Technique

scholarly journals Fuzzy and Position Particle Swarm Optimized Routing in VANET

2021 ◽  
Vol 12 (4) ◽  
pp. 199-206
Author(s):  
Viswanathan Ramasamy ◽  
Jagatheswari Srirangan ◽  
Praveen Ramalingam
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Routing Algorithms ◽  
Transport Systems ◽  
Swarm Optimization ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End ◽  
Fuzzy Logic Technique

In Intelligent Transport Systems, traffic management and providing stable routing paths between vehicles using vehicular ad hoc networks (VANET's) is critical. Lots of research and several routing techniques providing a long path lifetime have been presented to resolve this issue. However, the routing algorithms suffer excessive overhead or collisions when solving complex optimization problems. In order to improve the routing efficiency and performance in the existing schemes, a Position Particle Swarm Optimization based on Fuzzy Logic (PPSO-FL) method is presented for VANET that provides a high-quality path for communication between nodes. The PPSO-FL has two main steps. The first step is selecting candidate nodes through collectively coordinated metrics using the fuzzy logic technique, improving packet delivery fraction, and minimizing end-to-end delay. The second step is the construction of an optimized routing model. The optimized routing model establishes an optimal route through the candidate nodes using position-based particle swarm optimization. The proposed work is simulated using an NS2 simulator. Simulation results demonstrate that the method outperforms the standard routing algorithms in packet delivery fraction, end-to-end delay and execution time for routing in VANET scenarios.

scholarly journals Embedded Fuzzy Based Boiler Control

2016 ◽  
Vol 5 (2) ◽  
pp. 105
Author(s):  
Celin S
Keyword(s):  
Fuzzy Logic ◽  
Embedded System ◽  
Power Plants ◽  
Operating Conditions ◽  
Project Work ◽  
Feed Water ◽  
Steam Temperature ◽  
Fuzzy Logic Controllers ◽  
Power Station ◽  
Fuzzy Logic Technique

<p>Boiler control in a power station is a very important criteria in regulation of uninterrupted electricity. In existing power plants, the control of its features and parameters are done by PI and PD controllers. The parameters that control the regulation of boiler conduction are drum level, steam flow, feed water flow, steam temperature and light intensity. It is necessary to produce the steam required to run the generator. When the load in the generator changes, there must be corresponding change in the steam volume. This may cause adverse effect in the boiler. In order to avoid the effect in the boiler, the parameters mentioned above must be maintained constant, which is attained by regulating the corresponding valves. This project work has a feasibility of using fuzzy logic controllers in the place of conventional controllers is done by using embedded system. It is found that the rule based fuzzy logic technique can be implemented by stringent operating conditions. </p>

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