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Fuzzy logic

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https://www.readbyqxmd.com/read/28098822/application-of-fault-tree-analysis-and-fuzzy-neural-networks-to-fault-diagnosis-in-the-internet-of-things-iot-for-aquaculture
#1
Yingyi Chen, Zhumi Zhen, Huihui Yu, Jing Xu
In the Internet of Things (IoT) equipment used for aquaculture is often deployed in outdoor ponds located in remote areas. Faults occur frequently in these tough environments and the staff generally lack professional knowledge and pay a low degree of attention in these areas. Once faults happen, expert personnel must carry out maintenance outdoors. Therefore, this study presents an intelligent method for fault diagnosis based on fault tree analysis and a fuzzy neural network. In the proposed method, first, the fault tree presents a logic structure of fault symptoms and faults...
January 14, 2017: Sensors
https://www.readbyqxmd.com/read/28092498/adaptive-fuzzy-output-feedback-control-for-switched-nonlinear-systems-with-unmodeled-dynamics
#2
Shaocheng Tong, Yongming Li
This paper investigates a robust adaptive fuzzy control stabilization problem for a class of uncertain nonlinear systems with arbitrary switching signals that use an observer-based output feedback scheme. The considered switched nonlinear systems possess the unstructured uncertainties, unmodeled dynamics, and without requiring the states being available for measurement. A state observer which is independent of switching signals is designed to solve the problem of unmeasured states. Fuzzy logic systems are used to identify unknown lumped nonlinear functions so that the problem of unstructured uncertainties can be solved...
February 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28077898/quality-improvement-of-liver-ultrasound-images-using-fuzzy-techniques
#3
Azadeh Bayani, Mostafa Langarizadeh, Amir Reza Radmard, Ahmadreza Farzaneh Nejad
BACKGROUND: Liver ultrasound images are so common and are applied so often to diagnose diffuse liver diseases like fatty liver. However, the low quality of such images makes it difficult to analyze them and diagnose diseases. The purpose of this study, therefore, is to improve the contrast and quality of liver ultrasound images. METHODS: In this study, a number of image contrast enhancement algorithms which are based on fuzzy logic were applied to liver ultrasound images - in which the view of kidney is observable - using Matlab2013b to improve the image contrast and quality which has a fuzzy definition; just like image contrast improvement algorithms using a fuzzy intensification operator, contrast improvement algorithms applying fuzzy image histogram hyperbolization, and contrast improvement algorithms by fuzzy IF-THEN rules...
December 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28054811/overdistribution-illusions-categorical-judgments-produce-them-confidence-ratings-reduce-them
#4
C J Brainerd, K Nakamura, V F Reyna, R E Holliday
Overdistribution is a form of memory distortion in which an event is remembered as belonging to too many episodic states, states that are logically or empirically incompatible with each other. We investigated a response formatting method of suppressing 2 basic types of overdistribution, disjunction and conjunction illusions, which parallel some classic illusions in the judgment and decision making literature. In this method, subjects respond to memory probes by rating their confidence that test cues belong to specific episodic states (e...
January 2017: Journal of Experimental Psychology. General
https://www.readbyqxmd.com/read/28046451/th-cd-209-04-fuzzy-robust-optimization-in-intensity-modulated-proton-therapy-planning-to-account-for-range-and-patient-setup-uncertainties
#5
Y An, M Bues, S Schild, W Liu
PURPOSE: We propose to apply a robust optimization model based on fuzzy-logic constraints in the intensity-modulated proton therapy (IMPT) planning subject to range and patient setup uncertainties. The purpose is to ensure the plan robustness under uncertainty and obtain the best trade-off between tumor dose coverage and organ-at-risk(OAR) sparing. METHODS: Two IMPT plans were generated for 3 head-and-neck cancer patients: one used the planning target volume(PTV) method; the other used the fuzzy robust optimization method...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28026905/identification-of-visceral-leishmaniasis-susceptible-areas-using-spatial-modelling-in-southern-caucasus
#6
M Rajabi, P Pilesjö, A Bazmani, A Mansourian
This study explores the application of spatial modelling techniques to generate susceptibility maps for a neglected zoonotic disease, visceral leishmaniasis (VL), in an endemic area in southern Caucasus that includes Iran, Armenia and Azerbaijan. The social and physical environment of southern Caucasus has been mainly characterized by the presence of several factors that are strongly associated with VL, which has caused a significant number of infections during the past decade. Three popular spatial modelling techniques, consisting of the weights of evidence, logistic regression and fuzzy logic methods, were evaluated and trained using a study area in north-western Iran where an inventory of highly infected areas and high-quality evidential factors was available...
December 27, 2016: Zoonoses and Public Health
https://www.readbyqxmd.com/read/28008361/fuzzy-logic-based-risk-of-fall-estimation-using-smartwatch-data-as-a-means-to-form-an-assistive-feedback-mechanism-in-everyday-living-activities
#7
Dimitrios E Iakovakis, Fotini A Papadopoulou, Leontios J Hadjileontiadis
This Letter aims to create a fuzzy logic-based assistive prevention tool for falls, based on accessible sensory technology, such as smartwatch, resulting in monitoring of the risk factors of falls caused by orthostatic hypotension (OH); a drop in systolic blood pressure (DSBP) >20 mmHg due to postural changes. Epidemiological studies have shown that OH is a high risk factor for falls and has a strong impact in quality of life (QoL) of the elderly's, especially for some cases such as Parkinsonians. Based on smartwatch data, it is explored here how statistical features of heart rate variability (HRV) can lead to DSBP prediction and estimation of the risk of fall...
December 2016: Healthcare Technology Letters
https://www.readbyqxmd.com/read/27992358/command-filtering-based-fuzzy-control-for-nonlinear-systems-with-saturation-input
#8
Jinpeng Yu, Peng Shi, Wenjie Dong, Chong Lin
In this paper, command filtering-based fuzzy control is designed for uncertain multi-input multioutput (MIMO) nonlinear systems with saturation nonlinearity input. First, the command filtering method is employed to deal with the explosion of complexity caused by the derivative of virtual controllers. Then, fuzzy logic systems are utilized to approximate the nonlinear functions of MIMO systems. Furthermore, error compensation mechanism is introduced to overcome the drawback of the dynamics surface approach. The developed method will guarantee all signals of the systems are bounded...
December 13, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27979297/assessing-the-quality-of-sardine-based-on-biogenic-amines-using-a-fuzzy-logic-model
#9
Davood Zare, H M Ghazali
There is an increasing concern about the quality and quality assessment procedures of seafood. In the present study, a model to assess fish quality based on biogenic amine contents using fuzzy logic model (FLM) is proposed. The fish used was sardine (Sardinella sp.) where the production of eight biogenic amines was monitored over fifteen days of storage at 0, 3 and 10°C. Based on the results, histamine, putrescine and cadaverine were selected as input variables and twelve quality grades were considered for quality of fish as output variables for the FLM...
April 15, 2017: Food Chemistry
https://www.readbyqxmd.com/read/27979217/electronic-nose-guided-determination-of-frying-disposal-time-of-sunflower-oil-using-fuzzy-logic-analysis
#10
Rohit Upadhyay, Sneha Sehwag, Hari Niwas Mishra
An electronic nose (e-nose), having 18 metal oxide semiconductor (MOS) sensors, guided determination of frying disposal time of sunflower oil is reported. The ranking and screening of MOS sensors, specific for volatile organic compounds, was performed using fuzzy logic. A correlation was examined between rancidity indices of fried oil (total polar compounds (TPC), and triglyceride dimers-polymers (TGDP), among others) and e-nose based odor index. Fuzzy logic screened 6 MOS sensors (LY2/G, LY2/AA, LY2/GH, LY2/gCT1, T30/1, and P30/1) to deconvolute the rancid fried oils using hierarchical clustering on principal component space...
April 15, 2017: Food Chemistry
https://www.readbyqxmd.com/read/27975332/traffic-noise-mapping-of-indian-roads-through-smartphone-user-community-participation
#11
Rajiv Kumar, Abhijit Mukherjee, V P Singh
Road traffic noise pollution is a global hazard, and rapid urbanization has aggravated the problem. This paper explores a novel approach which involves a smartphone user community to monitor the prevalent noise. The system involves a client application on smartphones that records noise, processes the information and communicates to a server and shares the information as visual noise levels on Google® Maps. A fuzzy logic-based classification of noise is proposed. Results from residential, commercial, and industrial areas of the northern region of India are demonstrated...
January 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/27957464/systemic-approach-for-health-risk-assessment-of-ambient-air-concentrations-of-benzene-in-petrochemical-environments-integration-of-fuzzy-logic-artificial-neural-network-and-iris-toxicity-method
#12
Vahid Novin, Saeed Givehchi, Hassan Hoveidi
BACKGROUND: Reliable methods are crucial to cope with uncertainties in the risk analysis process. The aim of this study is to develop an integrated approach to assessing risks of benzene in the petrochemical plant that produces benzene. We offer an integrated system to contribute imprecise variables into the health risk calculation. METHODS: The project was conducted in Asaluyeh, southern Iran during the years from 2013 to 2014. Integrated method includes fuzzy logic and artificial neural networks...
September 2016: Iranian Journal of Public Health
https://www.readbyqxmd.com/read/27918482/fuzzy-computing-model-of-activity-recognition-on-wsn-movement-data-for-ubiquitous-healthcare-measurement
#13
Shu-Yin Chiang, Yao-Chiang Kan, Yun-Shan Chen, Ying-Ching Tu, Hsueh-Chun Lin
Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The movements are measured by the self-developed body motion sensor, which combines both accelerometer and gyroscope chips to make an inertial sensing node compliant with a wireless sensor network (WSN). The fuzzy logic process was studied to calculate the sensor signals that would entail necessary features of static postures and dynamic motions...
December 3, 2016: Sensors
https://www.readbyqxmd.com/read/27909939/a-novel-fuzzy-approach-for-automatic-brunnstrom-stage-classification-using-surface-electromyography
#14
Luca Liparulo, Zhe Zhang, Massimo Panella, Xudong Gu, Qiang Fang
Clinical assessment plays a major role in post-stroke rehabilitation programs for evaluating impairment level and tracking recovery progress. Conventionally, this process is manually performed by clinicians using chart-based ordinal scales which can be both subjective and inefficient. In this paper, a novel approach based on fuzzy logic is proposed which automatically evaluates stroke patients' impairment level using single-channel surface electromyography (sEMG) signals and generates objective classification results based on the widely used Brunnstrom stages of recovery...
December 1, 2016: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/27894702/adaptive-pi-controller-to-voltage-regulation-in-power-systems-statcom-as-a-case-study
#15
Mohammad Reza Tavana, Mohammad-Hassan Khooban, Taher Niknam
Static synchronous compensator (STATCOM) provides the means to improve quality and reliability of a power system as it has the functional capability to handle dynamic disturbances, such as transient stability and power oscillation damping as well as to providing voltage regulation. In this paper, a robust adaptive PI-based optimal fuzzy control strategy is proposed to control a STATCOM used in distribution systems. The proposed intelligent strategy is based on a combination of a new General Type-II Fuzzy Logic (GT2FL) with a simple heuristic algorithm named Teaching Learning Based Optimization (TLBO) Algorithm...
November 25, 2016: ISA Transactions
https://www.readbyqxmd.com/read/27872687/determining-the-molecular-pathways-underlying-the-protective-effect-of-non-steroidal-anti-inflammatory-drugs-for-alzheimer-s-disease-a-bioinformatics-approach
#16
Alejo J Nevado-Holgado, Simon Lovestone
Alzheimer's disease (AD) represents a substantial unmet need, due to increasing prevalence in an ageing society and the absence of a disease modifying therapy. Epidemiological evidence shows a protective effect of non steroidal anti inflammatory (NSAID) drugs, and genome wide association studies (GWAS) show consistent linkage to inflammatory pathways; both observations suggesting anti-inflammatory compounds might be effective in AD therapy although clinical trials to date have not been positive. In this study, we use pathway enrichment and fuzzy logic to identify pathways (KEGG database) simultaneously affected in both AD and by NSAIDs (Sulindac, Piroxicam, Paracetamol, Naproxen, Nabumetone, Ketoprofen, Diclofenac and Aspirin)...
2017: Computational and Structural Biotechnology Journal
https://www.readbyqxmd.com/read/27865729/improving-the-efficiency-of-dissolved-oxygen-control-using-an-on-line-control-system-based-on-a-genetic-algorithm-evolving-fwnn-software-sensor
#17
Jujun Ruan, Chao Zhang, Ya Li, Peiyi Li, Zaizhi Yang, Xiaohong Chen, Mingzhi Huang, Tao Zhang
This work proposes an on-line hybrid intelligent control system based on a genetic algorithm (GA) evolving fuzzy wavelet neural network software sensor to control dissolved oxygen (DO) in an anaerobic/anoxic/oxic process for treating papermaking wastewater. With the self-learning and memory abilities of neural network, handling the uncertainty capacity of fuzzy logic, analyzing local detail superiority of wavelet transform and global search of GA, this proposed control system can extract the dynamic behavior and complex interrelationships between various operation variables...
February 1, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/27817129/the-use-of-stepper-motor-controlled-proportional-valve-for-fio2-calculation-in-the-ventilator-and-its-control-with-fuzzy-logic
#18
Adem Gölcük, İnan Güler
This article proposes the employment of a proportional valve that can calculate the amount of oxygen in the air to be given to patient in accordance with the amount of FiO2 which is set from the control menu of the ventilation device. To actualize this, a stepper motor-controlled proportional valve was used. Two counts of valves were employed in order to control the gases with 2 bar pressure that came from both the oxygen and medical air tanks. Oxygen and medical air manometers alongside the pressure regulators were utilized to perform this task...
January 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/27816178/an-optimal-general-type-2-fuzzy-controller-for-urban-traffic-network
#19
Mohammad Hassan Khooban, Navid Vafamand, Alireza Liaghat, Tomislav Dragicevic
Urban traffic network model is illustrated by state-charts and object-diagram. However, they have limitations to show the behavioral perspective of the Traffic Information flow. Consequently, a state space model is used to calculate the half-value waiting time of vehicles. In this study, a combination of the general type-2 fuzzy logic sets and the Modified Backtracking Search Algorithm (MBSA) techniques are used in order to control the traffic signal scheduling and phase succession so as to guarantee a smooth flow of traffic with the least wait times and average queue length...
November 2, 2016: ISA Transactions
https://www.readbyqxmd.com/read/27815830/determining-an-appropriate-method-for-the-purpose-of-land-allocation-for-ecotourism-development-case-study-taleghan-county-iran
#20
H Aliani, S Babaie Kafaky, A Saffari, S M Monavari
Appropriate management and planning of suitable areas for the development of ecotourism activities can play an important role in ensuring proper use of the environment. Due to the complexity of nature, applying different tools and models-particularly multi-criteria methods-can be useful in order to achieve these goals. In this study, to indicate suitable areas (land allocation) for ecotourism activities in Taleghan county, weighted linear combination (WLC) using geographical information system (GIS), fuzzy logic, and analytical network process (ANP) were used...
November 2016: Environmental Monitoring and Assessment
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