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Fuzzy logic

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https://www.readbyqxmd.com/read/28227535/skills-based-evaluation-of-alternative-input-methods-to-command-a-semi-autonomous-electric-wheelchair
#1
Mario Rojas, Pedro Ponce, Arturo Molina, Mario Rojas, Pedro Ponce, Arturo Molina, Pedro Ponce, Mario Rojas, Arturo Molina
This paper presents the evaluation, under standardized metrics, of alternative input methods to steer and maneuver a semi-autonomous electric wheelchair. The Human-Machine Interface (HMI), which includes a virtual joystick, head movements and speech recognition controls, was designed to facilitate mobility skills for severely disabled people. Thirteen tasks, which are common to all the wheelchair users, were attempted five times by controlling it with the virtual joystick and the hands-free interfaces in different areas for disabled and non-disabled people...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226660/identifying-stereotypic-evolving-micro-scale-seizures-sems-in-the-hypoxic-ischemic-eeg-of-the-pre-term-fetal-sheep-with-a-wavelet-type-ii-fuzzy-classifier
#2
Hamid Abbasi, Laura Bennet, Alistair J Gunn, Charles P Unsworth, Hamid Abbasi, Laura Bennet, Alistair J Gunn, Charles P Unsworth, Charles P Unsworth, Laura Bennet, Hamid Abbasi, Alistair J Gunn
Perinatal hypoxic-ischemic encephalopathy (HIE) around the time of birth due to lack of oxygen can lead to debilitating neurological conditions such as epilepsy and cerebral palsy. Experimental data have shown that brain injury evolves over time, but during the first 6-8 hours after HIE the brain has recovered oxidative metabolism in a latent phase, and brain injury is reversible. Treatments such as therapeutic cerebral hypothermia (brain cooling) are effective when started during the latent phase, and continued for several days...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28209428/an-artificial-intelligence-based-improved-classification-of-two-phase-flow-patterns-with-feature-extracted-from-acquired-images
#3
C Shanthi, N Pappa
Flow pattern recognition is necessary to select design equations for finding operating details of the process and to perform computational simulations. Visual image processing can be used to automate the interpretation of patterns in two-phase flow. In this paper, an attempt has been made to improve the classification accuracy of the flow pattern of gas/ liquid two- phase flow using fuzzy logic and Support Vector Machine (SVM) with Principal Component Analysis (PCA). The videos of six different types of flow patterns namely, annular flow, bubble flow, churn flow, plug flow, slug flow and stratified flow are recorded for a period and converted to 2D images for processing...
February 13, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28208631/a-novel-strain-based-method-to-estimate-tire-conditions-using-fuzzy-logic-for-intelligent-tires
#4
Daniel Garcia-Pozuelo, Oluremi Olatunbosun, Jorge Yunta, Xiaoguang Yang, Vicente Diaz
The so-called intelligent tires are one of the most promising research fields for automotive engineers. These tires are equipped with sensors which provide information about vehicle dynamics. Up to now, the commercial intelligent tires only provide information about inflation pressure and their contribution to stability control systems is currently very limited. Nowadays one of the major problems for intelligent tire development is how to embed feasible and low cost sensors to obtain reliable information such as inflation pressure, vertical load or rolling speed...
February 10, 2017: Sensors
https://www.readbyqxmd.com/read/28194673/assessment-of-groundwater-vulnerability-using-supervised-committee-to-combine-fuzzy-logic-models
#5
Ata Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, Asghar Asghari Moghaddam
Vulnerability indices of an aquifer assessed by different fuzzy logic (FL) models often give rise to differing values with no theoretical or empirical basis to establish a validated baseline or to develop a comparison basis between the modeling results and baselines, if any. Therefore, this research presents a supervised committee fuzzy logic (SCFL) method, which uses artificial neural networks to overarch and combine a selection of FL models. The indices are expressed by the widely used DRASTIC framework, which include geological, hydrological, and hydrogeological parameters often subject to uncertainty...
February 13, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28160385/processing-binary-and-fuzzy-logic-by-chaotic-time-series-generated-by-a-hydrodynamic-photochemical-oscillator
#6
Pier Luigi Gentili, Maria Sole Giubila, B Mark Heron
This work demonstrates the computational power of a hydrodynamic photochemical oscillator based on a photochromic naphthopyran, generating aperiodic time series. The chaotic character of the time series is tested by calculating its largest Lyapunov exponent and the correlation dimension of its attractor after building its phase space through the Takens' theorem. Then, the chaotic dynamic is shown to be suitable to implement all the fundamental Boolean two-inputs-one-output logic gates. Finally, the strategy to implement Fuzzy logic systems (FLSs) based on the time series is described...
February 3, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28120889/a-new-efficient-hybrid-intelligent-model-for-biodegradation-process-of-dmp-with-fuzzy-wavelet-neural-networks
#7
Mingzhi Huang, Tao Zhang, Jujun Ruan, Xiaohong Chen
A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty capacity of fuzzy logic (FL), analyzing local details superiority of wavelet transform (WT) and global search of genetic algorithm (GA), the proposed hybrid intelligent model can extract the dynamic behavior and complex interrelationships from various water quality variables...
January 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28113536/evolutionary-fuzzy-block-matching-based-camera-raw-image-denoising
#8
Chin-Chang Yang, Shu-Mei Guo, Jason Sheng-Hong Tsai
An evolutionary fuzzy block-matching-based image denoising algorithm is proposed to remove noise from a camera raw image. Recently, a variance stabilization transform is widely used to stabilize the noise variance, so that a Gaussian denoising algorithm can be used to remove the signal-dependent noise in camera sensors. However, in the stabilized domain, the existed denoising algorithm may blur too much detail. To provide a better estimate of the noise-free signal, a new block-matching approach is proposed to find similar blocks by the use of a type-2 fuzzy logic system (FLS)...
October 3, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28110741/fractional-order-integration-and-fuzzy-logic-based-filter-for-denoising-of-echocardiographic-image
#9
Ayesha Saadia, Adnan Rashdi
BACKGROUND: Ultrasound is widely used for imaging due to its cost effectiveness and safety feature. However, ultrasound images are inherently corrupted with speckle noise which severely affects the quality of these images and create difficulty for physicians in diagnosis. To get maximum benefit from ultrasound imaging, image denoising is an essential requirement. METHOD: To perform image denoising, a two stage methodology using fuzzy weighted mean and fractional integration filter has been proposed in this research work...
December 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28110738/risk-analysis-of-lung-cancer-and-effects-of-stress-level-on-cancer-risk-through-neuro-fuzzy-model
#10
Atınç Yılmaz, Seçkin Arı, Ümit Kocabıçak
A significant number of people pass away due to limited medical resources for the battle with cancer. Fatal cases can be reduced by using the computational techniques in the medical and health system. If the cancer is diagnosed early, the chance of successful treatment increases. In this study, the risk of getting lung cancer will be obtained and patients will be provided with directions to exterminate the risk. After calculating the risk value for lung cancer, status of the patient's susceptibility and resistance to stress is used in determining the effects of stress to disease...
December 2016: Computer Methods and Programs in Biomedicine
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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