scholarly journals Sleep EEG Classification Using Fuzzy Logic

2015 ◽  
Vol 1 (1) ◽  
pp. 17 ◽  
Author(s):  
Chetna Nagpal ◽  
P.K. Uppadhyay
Keyword(s):  
Fuzzy Logic ◽  
Slow Wave Sleep ◽  
Detection System ◽  
Fuzzy Rule ◽  
Fuzzy Classification ◽  
Rule Base ◽  
Eeg Signals ◽  
Multi Stage ◽  
Proposed Model ◽  
Stage System

the computerized detection of multi stage system of EEG signals using fuzzy logic has been developed and tested on prerecorded data of the EEG of rats.The multistage detection system consists of three major stages: Awake, SWS (Slow wave sleep), REM (Rapid eye movement) which has been recorded and can be detected by the fuzzy classification and fuzzy rule base. The proposed work approaches to identify thestage of 3- channel signal on the basis of frequency distribution of EEG, standard deviation of EOG and EMG, variance of EOG and EMG. Based on feature extracted data, fuzzy logic rule base modelwas evaluated accurately in terms of 3 stages (Awake, SWS, and REM) and the result confirmed that the proposed model has potential in classifying the EEG signals

Integration of fuzzy logic in the SEIRD compartmental model for the analysis of intervention and transmission heterogeneity on SARS-CoV-2 transmission dynamics

2022 ◽  
Author(s):  
Zakaria Shams Siam ◽  
Rubyat Tasnuva Hasan ◽  
Hossain Ahamed ◽  
Samiya Kabir Youme ◽  
Soumik Sarker Anik ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Compartmental Model ◽  
Fuzzy Rule ◽  
Transmission Dynamics ◽  
Intervention Measures ◽  
Proposed Model ◽  
Total Death ◽  
Linguistic Intervention ◽  
Fuzzy Linguistic ◽  
Death Cases

Different epidemiological compartmental models have been presented to predict the transmission dynamics of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we have proposed a fuzzy rule-based Susceptible-Exposed-Infectious-Recovered-Death ([Formula: see text]) compartmental model considering a new dynamic transmission possibility variable as a function of time and three different fuzzy linguistic intervention variables to delineate the intervention and transmission heterogeneity on SARS-CoV-2 viral infection. We have analyzed the datasets of active cases and total death cases of China and Bangladesh. Using our model, we have predicted active cases and total death cases for China and Bangladesh. We further presented the correspondence of different intervention measures in relaxing the transmission possibility. The proposed model delineates the correspondence between the intervention measures as fuzzy subsets and the predicted active cases and total death cases. The prediction made by our system fitted the collected dataset very well while considering different fuzzy intervention measures. The integration of fuzzy logic in the classical compartmental model also produces more realistic results as it generates a dynamic transmission possibility variable. The proposed model could be used to control the transmission of SARS-CoV-2 as it deals with the intervention and transmission heterogeneity on SARS-CoV-2 transmission dynamics.

scholarly journals Design of Indoor Room Gas CO and SO2 Detection Based on Microcontroller Using Fuzzy Logic

2019 ◽  
Vol 125 ◽  
pp. 23013
Author(s):  
Slamet Widodo ◽  
M.Miftakhul Amin ◽  
Ahyar Supani
Keyword(s):  
Carbon Monoxide ◽  
Fuzzy Logic ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Motor Speed ◽  
Fuzzy Rule Base ◽  
A Value ◽  
Base Logic ◽  
So2 Gas ◽  
Co Gas

The incidence of poisoning due to carbon monoxide gas arising from drilling activities on the first floor of a building in the Kelapa Gading beauty clinic in Jakarta resulted in 17 people experiencing poisoning. In this study developing a device on the sensor used to detect CO and SO2 gas, in the air of a closed room using gas sensor MQ 135 and MQ 136. The results of testing the CO and SO2 gas gauges using samples of cigarette smoke and sulfur powder using MQ 135 and MQ 136 sensors with fuzzy rule base logic for motor speed to produce CO and SO2 gas, that obtained a value of 0.233 ppm SO2 gas safe conditions and gas input CO with the sensor obtained a value of 0.513 ppm, the condition is safe so that the output is 49.8 ppm, the condition of the fan blower does not rotate. Whereas when the reading value of 5.0 ppm is very concentrated and the CO gas input with the sensor is 13.8 ppm the condition is very concentrated producing an output of 228 ppm the very danger.

Fuzzy logic approach for investigation of microstructure and mechanical properties of Sn96.5-Ag3.0-Cu0.5 lead free solder alloy

2017 ◽  
Vol 29 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Muhammad Aamir ◽  
Izhar Izhar ◽  
Muhammad Waqas ◽  
Muhammad Iqbal ◽  
Muhammad Imran Hanif ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Fuzzy Logic ◽  
Solder Alloy ◽  
Thermal Aging ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Content Type ◽  
Wide Range ◽  
Fuzzy Logic Approach ◽  
Free Solder

Purpose This paper aims to develop a fuzzy logic-based algorithm to predict the intermetallic compound (IMC) size and mechanical properties of soldering material, Sn96.5-Ag3.0-Cu0.5 (SAC305) alloy, at different levels of temperature. The reliability of solder joint in materials selection is critical in terms of temperature, mechanical properties and environmental aspects. Owing to a wide range of soldering materials available, the selection space finds a fuzzy characteristic. Design/methodology/approach The developed algorithm takes thermal aging temperature for SAC305 alloy as input and converts it into fuzzy domain. These fuzzified values are then subjected to a fuzzy rule base, where a set of rules determines the IMC size and mechanical properties, such as yield strength (YS) and ultimate tensile strength (UTS) of SAC305 alloy. The algorithm is successfully simulated for various input thermal aging temperatures. To analyze and validate the developed algorithm, an SAC305 lead (Pb)-free solder alloy is developed and thermally aged at 40, 60 and 100°C temperature. Findings The experimental results indicate an average IMCs size of 5.967 (in Pixels), 19.850 N/mm2 YS and 22.740 N/mm2 UTS for SAC305 alloy when thermally aged at an elevated temperature of 140°C. In comparison, the simulation results predicted 5.895 (in Pixels) average IMCs size, 19.875 N/mm2 YS and 22.480 N/mm2 UTS for SAC305 alloy at 140°C thermally aged temperature. Originality/value From the experimental and simulated results, it is evident that the fuzzy-based developed algorithm can be used effectively to predict the IMCs size and mechanical properties of SAC305 at various aging temperatures, for the first time.

Optimized Fuzzy Logic Control Strategy for Parallel Hybrid Electric Vehicle Based on Genetic Algorithm

2013 ◽  
Vol 274 ◽  
pp. 345-349 ◽  
Author(s):  
Mei Lan Zhou ◽  
Deng Ke Lu ◽  
Wei Min Li ◽  
Hui Feng Xu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Membership Functions ◽  
Logic Control

For PHEV energy management, in this paper the author proposed an EMS is that based on the optimization of fuzzy logic control strategy. Because the membership functions of FLC and fuzzy rule base were obtained by the experience of experts or by designers through the experiment analysis, they could not make the FLC get the optimization results. Therefore, the author used genetic algorithm to optimize the membership functions of the FLC to further improve the vehicle performance. Finally, simulated and analyzed by using the electric vehicle software ADVISOR, the results indicated that the proposed strategy could easily control the engine and motor, ensured the balance between battery charge and discharge and as compared with electric assist control strategy, fuel consumption and exhaust emissions have also been reduced to less than 43.84%.

Prediction on Aging of Reconstitutive Clayey Marine Soils Using Fuzzy-Logic

2003 ◽  
Author(s):  
Jorge Sa´nchez Moreno ◽  
Edison Castro Prates de Lima ◽  
Gilberto Bruno Ellwanger
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Rule ◽  
Experimental Tests ◽  
Optimization Method ◽  
Soil Strength ◽  
Evolutionary Strategy ◽  
Rule Base ◽  
Engineering Practice ◽  
Aging Effects ◽  
Effective Normal Stress

This paper presents an application of the fuzzy logic theory for the prediction of the soil strength depth variation due to aging effects. The results of experimental tests with reconstituted clayey soils of the Bay of Campeche in Mexico were used for the fuzzy rule-based system training. The Evolutionary Strategy (ES) was employed as an optimization method for the learning of the Mamdani-type fuzzy rule base. Fuzzy logic provides an easy and transparent method for incorporating common-sense type reasoning. The fuzzy logic model is based on a decision (inference) process that can be better described on a linguistic level using rules with soft facts. In this manner the clay soil strength through the time could be fuzzily predicted as a function of the mean effective normal stress, the time of consolidation and the water content. Illustrative examples showed that the result of prediction seems to be acceptable in engineering practice.

scholarly journals Three-Dimensional Fuzzy Control of Ultrasonic Cleaning

2021 ◽  
Vol 15 (3) ◽  
pp. 169-176
Author(s):  
Volodymyr Morkun ◽  
Olha Kravchenko
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Three Dimensional ◽  
Rule Base ◽  
Ultrasonic Cleaning ◽  
Distributed Parameters ◽  
Input And Output ◽  
Proposed Model ◽  
Interval Type

Abstract Consideration of ultrasonic cleaning as a process with distributed parameters enables reduction of power consumption. This approach is based on establishment of control over the process depending on fixed values of ultrasonic responses in set points. The initial intensity of radiators is determined using a three-dimensional (3D) interval type-2 fuzzy logic controller essentially created for processes with distributed parameters, as well as complex expert evaluation of the input data. The interval membership functions for the input and output data consider the space heterogeneity of ultrasonic cleaning. A rule base is formed, which is 2D and not dependent upon the number of input and output parameters. A model illustrating ultrasonic cleaning with a 3D interval type-2 fuzzy logic controller is designed. Comparative analysis of the output parameters of the proposed model and the traditional method indicates an increase in the energy efficiency by 41.17% due to application of only those ultrasonic radiators that are located next to the contamination.

scholarly journals Rain Prediction using Fuzzy Logic

2019 ◽  
Vol 9 (1) ◽  
pp. 2796-2799
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Unit Commitment ◽  
Load Forecasting ◽  
Fuzzy Rule ◽  
Conventional Technique ◽  
Rule Base ◽  
Spinning Reserve ◽  
Generation Cost ◽  
Triangular Membership Function

Power system energy management system is observed as the breakthrough element for load forecasting. Load forecasting is advantageous so as to reduce the generation cost, spinning reserve capacity and increase the reliability of power system. The unit commitment, economic allotment of generation preservation schedule is crucial for short term load forecasting (STLF). In the current times, many techniques are being utilized for load forecasting, but Artificial Intelligence Technique (Fuzzy Logic and ANN) provides improved efficiency as in contrast with conventional technique (Regression and Time Series). In this particular paper, the author main purpose is to reduce flood conditions and drought. The main focus of the author is in the prediction of rainfall with the help of wind variation and temperature, speed. The paper represents a technique of STLF using fuzzy logic. Using Mamdani implication the fuzzy rule base is prepared. The software used for this is Matlab Simulink and fuzzy tool box. By using triangular membership function the forecasted results are obtained.

scholarly journals Study on Sentiment Classification Strategies Based on the Fuzzy Logic with Crow Search Algorithm

2022 ◽  
Author(s):  
Mazen Mohammed ◽  
Lasheng Yu ◽  
Ali Aldhubri ◽  
Gamil R. S.Qaid
Keyword(s):  
Fuzzy Logic ◽  
Search Algorithm ◽  
Fuzzy Rule ◽  
Machine Learning Algorithms ◽  
Sentiment Classification ◽  
Data Sets ◽  
Fuzzy Logic Algorithm ◽  
Rule Based System ◽  
Proposed Model ◽  
Media Applications

Abstract In recent times, sentiment analysis research has gained wide popularity. That situation is caused by the nature of online applications that allow users to express their opinions on events, services, or products through social media applications such as Twitter, Facebook, and Amazon. This paper proposes a novel sentiment classification method according to the Fuzzy rule-based system (FRBS) with crow search algorithm (CSA). FRBS is used to classify the polarity of sentences or documents, and the CSA is employed to optimize the best output from the fuzzy logic algorithm. The FRBS is applied to extract the sentiment and classify its polarity into negative, neutral, and positive. Sometimes, the outputs of the FRBS must be enhanced, especially since many variables are present and the rules between them overlap. For such cases, the CSA is used to solve this limitation faced by FRBS to optimize the outputs of FRBS and achieve the best result. We compared the performance of our proposed model with different machine learning algorithms, such as SVM, maximum entropy, boosting, and SWESA. We tested our model on three famous data sets collected from Amazon, Yelp, and IMDB. Experimental results demonstrated the effectiveness of the proposed model and achieved competitive performance in terms of accuracy, recall, precision, and the F–score.

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