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Fuzzy systems

Navid Vafamand, Mohammad Mehdi Arefi, Alireza Khayatian
This paper proposes two novel Kalman-based learning algorithms for an online Takagi-Sugeno (TS) fuzzy model identification. The proposed approaches are designed based on the unscented Kalman filter (UKF) and the concept of dual estimation. Contrary to the extended Kalman filter (EKF) which utilizes derivatives of nonlinear functions, the UKF employs the unscented transformation. Consequently, non-differentiable membership functions can be considered in the structure of the TS models. This makes the proposed algorithms to be applicable for the online parameter calculation of wider classes of TS models compared to the recently published papers concerning the same issue...
February 15, 2018: ISA Transactions
Huan Tao, Qian Li, Qin Zhou, Jie Chen, Bo Fu, Jing Wang, Wenzhe Qin, Jianglong Hou, Jin Chen, Li Dong
BACKGROUND: It's difficult but urgent to achieve the individualized rational medication of the warfarin, we aim to predict the individualized warfarin stable dose though the artificial intelligent Adaptive neural-fuzzy inference system (ANFIS). METHODS: Our retrospective analysis based on a clinical database, involving 21,863 patients from 15 Chinese provinces who receive oral warfarin after the heart valve replacement. They were allocated into four groups: the external validation group (A group), the internal validation group (B group), training group (C group) and stratified training group (D group)...
February 15, 2018: BMC Surgery
Marie Brunetti, Sathyanath Rajasekharan, Piluca Ustero, Katherine Ngo, Welile Sikhondze, Buli Mzileni, Anna Mandalakas, Alexander W Kay
Background: In Swaziland, as in many high HIV/TB burden settings, there is not information available regarding the household location of TB cases for identifying areas of increased TB incidence, limiting the development of targeted interventions. Data from "Butimba", a TB REACH active case finding project, was re-analyzed to provide insight into the location of TB cases surrounding Mbabane, Swaziland. Objective: The project aimed to identify geographical areas with high TB burdens to inform active case finding efforts...
2018: Global Health Research and Policy
Lars E F Johannessen
In theorising 'the system of professions', Andrew Abbott emphasised how jurisdictional boundaries in the workplace are far fuzzier than those specified in law. A key reason for this fuzziness is the process he characterised as 'workplace assimilation', involving on the job learning of a craft version of another profession's knowledge system. However, despite its centrality, workplace assimilation remains poorly elaborated in the scholarly literature. To address this shortcoming, this study explores the workplace assimilation of nurses in a Norwegian emergency primary care clinic...
February 7, 2018: Social Science & Medicine
Guolian Hou, Huan Du, Yu Yang, Congzhi Huang, Jianhua Zhang
The thermal power plant, especially the ultra-supercritical unit is featured with severe nonlinearity, strong multivariable coupling. In order to deal with these difficulties, it is of great importance to build an accurate and simple model of the coordinated control system (CCS) in the ultra-supercritical unit. In this paper, an improved T-S fuzzy model identification approach is proposed. First of all, the k-means++ algorithm is employed to identify the premise parameters so as to guarantee the number of fuzzy rules...
February 9, 2018: ISA Transactions
Liang Jing, Bing Chen, Jisi Zheng, Bo Liu, Baiyu Zhang
Ozonation has been recently proposed as a treatment option to remove toxic and recalcitrant organics from offshore produced water (OPW). In this study, experimental and modeling approaches were used to investigate the removal of polycyclic aromatic hydrocarbons (PAHs) from OPW by ozonation. It was found that ozonation can effectively remove PAHs by following the pseudo first-order kinetic model, which could cover both direct and indirect ozonation pathways. The decay rate constants of most PAHs were as low as 0...
February 10, 2018: Environmental Monitoring and Assessment
Xianming Dou, Yongguo Yang
With the recent availability of large amounts of data from the global flux towers across different terrestrial ecosystems based on the eddy covariance technique, the use of data-driven techniques has been viable. In this study, two advanced techniques, namely adaptive neuro-fuzzy inference system (ANFIS) and extreme learning machine (ELM), were developed and investigated for their viability in estimating daily carbon fluxes at the ecosystem level. All the data used in this study were based upon the long-term chronosequence observations derived from the flux towers in eight forest ecosystems...
January 27, 2018: Science of the Total Environment
Ehsanollah Habibi, Mina Salehi, Ghasem Yadegarfar, Ali Taheri
PURPOSE: Recently, a new method was proposed for physical work rate classification based on an adaptive neuro-fuzzy inference system (ANFIS). This study aims to present a genetic algorithm (GA) optimized ANFIS model for a high accurate classification of physical work rate. MATERIALS AND METHODS: Thirty healthy men participated in this study. The heart rate and the oxygen consumption of the participants were measured directly during a step test and a maximal treadmill test...
February 9, 2018: International Journal of Occupational Safety and Ergonomics: JOSE
Somayeh Raiesdana
An automated sleep staging based on analyzing long-range time correlations in EEG is proposed. These correlations, indicating time-scale invariant property or self-similarity at different time scales, are known to be salient dynamical characteristics of stage succession for a sleeping brain even when the subject suffers a destructive disorder such as Obstructive Sleep Apnea (OSA). The goal is to extract a set of complementary features from cerebral sources mapped onto the scalp electrodes or from a number of denoised EEG channels...
February 8, 2018: Australasian Physical & Engineering Sciences in Medicine
Hongwei Lu, Jing Li, Lixia Ren, Yizhong Chen
Groundwater remediation is a complicated system with time-consuming and costly challenges, which should be carefully controlled by appropriate groundwater management. This study develops an integrated optimization method for groundwater remediation management regarding cost, contamination distribution and health risk under multiple uncertainties. The integration of health risk into groundwater remediation optimization management is capable of not only adequately considering the influence of health risk on optimal remediation strategies, but also simultaneously completing remediation optimization design and risk assessment...
February 1, 2018: Chemosphere
Majid Mahmoodabadi, Ruhollah Rezaei Arshad
This paper investigates chemical water quality parameters of the Karoun, the greatest and the most important river of Iran, during a 48-year period, from 1968 to 2015. Water discharge (Q) fluctuates between 191.1m3s-1 and 1758.7m3s-1, with a decreasing trend over the 48-year period. Except pH, other water quality parameters increased, significantly, so that the rate of increase for EC and TDS was 25.71╬╝Scm-1y-1 and 16.66mgl-1y-1, respectively. Moreover, SO4-2, HCO3-, Cl-, Ca+2, Mg+2 and Na+ have increased by 0...
January 2018: Marine Pollution Bulletin
Cangzhi Jia, Yun Zuo, Quan Zou, John Hancock
Motivation: Protein O-GlcNAcylation (O-GlcNAc) is an important post-translational modification of serine (S)/threonine (T) residues that involves multiple molecular and cellular processes. Recent studies have suggested that abnormal O-G1cNAcylation causes many diseases, such as cancer and various neurodegenerative diseases. With the available protein O-G1cNAcylation sites experimentally verified, it is highly desired to develop automated methods to rapidly and effectively identify O-G1cNAcylation sites...
February 6, 2018: Bioinformatics
Jorge Yunta, Daniel Garcia-Pozuelo, Vicente Diaz, Oluremi Olatunbosun
Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system...
February 6, 2018: Sensors
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L Krichmar, Nikil Dutt, Chris Van Hoof
Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine learning technique to estimate heart-rate from electrocardiogram (ECG) data collected using wearable devices. The novelty of our approach lies in (1) encoding spatio-temporal properties of ECG signals directly into spike train and using this to excite recurrently connected spiking neurons in a Liquid State Machine computation model; (2) a novel learning algorithm; and (3) an intelligently designed unsupervised readout based on Fuzzy c-Means clustering of spike responses from a subset of neurons (Liquid states), selected using particle swarm optimization...
January 12, 2018: Neural Networks: the Official Journal of the International Neural Network Society
Sediqeh Samadi, Mudassir Rashid, Kamuran Turksoy, Jianyuan Feng, Iman Hajizadeh, Nicole Hobbs, Caterina Lazaro, Mert Sevil, Elizabeth Littlejohn, Ali Cinar
BACKGROUND: Automatically attenuating the postprandial rise in the blood glucose concentration without manual meal announcement is a significant challenge for artificial pancreas (AP) systems. In this study, a meal module is proposed to detect the consumption of a meal and to estimate the amount of carbohydrate (CHO) intake. METHODS: The meals are detected based on qualitative variables describing variation of continuous glucose monitoring (CGM) readings. The CHO content of the meals/snacks is estimated by a fuzzy system using CGM and subcutaneous insulin delivery data...
February 6, 2018: Diabetes Technology & Therapeutics
Stephan Bergmann, Oliver Wrede, Thomas Huser, Thomas Hellweg
We present a new method to resolve the network morphology of colloidal particles in an aqueous environment via super-resolution microscopy. By localization of freely diffusing fluorophores inside the particle network we can resolve the three dimensional structure of one species of colloidal particles (thermoresponsive microgels) without altering their chemical composition through copolymerization with fluorescent monomers. Our approach utilizes the interaction of the fluorescent dye rhodamine 6G with the polymer network to achieve an indirect labeling...
February 2, 2018: Physical Chemistry Chemical Physics: PCCP
Muntaser A Salman, Suat Ozdemir, Fatih V Celebi
Traffic signal control (TSC) with vehicle-to everything (V2X) communication can be a very efficient solution to traffic congestion problem. Ratio of vehicles equipped with V2X communication capability in the traffic to the total number of vehicles (called penetration rate PR) is still low, thus V2X based TSC systems need to be supported by some other mechanisms. PR is the major factor that affects the quality of TSC process along with the evaluation interval. Quality of the TSC in each direction is a function of overall TSC quality of an intersection...
January 27, 2018: Sensors
Honggui Han, Shuo Zhang, Junfei Qiao, Xiaoshuang Wang
The membrane bioreactor (MBR) has been widely used to purify wastewater in wastewater treatment plants. However, a critical difficulty of the MBR is membrane fouling. To reduce membrane fouling, in this work, an intelligent detecting system is developed to evaluate the performance of MBR by predicting the membrane permeability. This intelligent detecting system consists of two main parts. First, a soft computing method, based on the partial least squares method and the recurrent fuzzy neural network, is designed to find the nonlinear relations between the membrane permeability and the other variables...
January 2018: Water Science and Technology: a Journal of the International Association on Water Pollution Research
V K Benzy, E A Jasmin, Rachel Cherian Koshy, Frank Amal, K P Indiradevi
The advancement in medical research and intelligent modeling techniques has lead to the developments in anaesthesia management. The present study is targeted to estimate the depth of anaesthesia using cognitive signal processing and intelligent modeling techniques. The neurophysiological signal that reflects cognitive state of anaesthetic drugs is the electroencephalogram signal. The information available on electroencephalogram signals during anaesthesia are drawn by extracting relative wave energy features from the anaesthetic electroencephalogram signals...
2018: Journal of Integrative Neuroscience
Ryo Hayama, Samuel Sparks, Lee M Hecht, Kaushik Dutta, Christina M Cabana, Jerome M Karp, Michael P Rout, David Cowburn
Intrinsically disordered proteins (IDPs) play important roles in many biological systems. Given the vast conformational space that IDPs can explore, the thermodynamics of the interactions with their partners is closely linked to their biological functions. Intrinsically disordered regions of Phe-Gly nucleoporins (FG Nups) that contain multiple phenylalanine-glycine repeats are of particular interest, as their interactions with transport factors (TFs) underlie the paradoxically rapid yet also highly selective transport of macromolecules mediated by the nuclear pore complex (NPC)...
January 26, 2018: Journal of Biological Chemistry
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