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https://www.readbyqxmd.com/read/28092762/a-novel-approach-for-exposure-assessment-in-air-pollution-epidemiological-studies-using-neuro-fuzzy-inference-systems-comparison-of-exposure-estimates-and-exposure-health-associations
#1
Victoria Blanes-Vidal, Manuella Lech Cantuaria, Esmaeil S Nadimi
Many epidemiological studies have used proximity to sources as air pollution exposure assessment method. However, proximity measures are not generally good surrogates because of their complex non-linear relationship with exposures. Neuro-fuzzy inference systems (NFIS) can be used to map complex non-linear systems, but its usefulness in exposure assessment has not been extensively explored. We present a novel approach for exposure assessment using NFIS, where the inputs of the model were easily-obtainable proximity measures, and the output was residential exposure to an air pollutant...
January 13, 2017: Environmental Research
https://www.readbyqxmd.com/read/28092592/adaptive-fuzzy-bounded-control-for-consensus-of-multiple-strict-feedback-nonlinear-systems
#2
Wei Wang, Shaocheng Tong
This paper studies the adaptive fuzzy bounded control problem for leader-follower multiagent systems, where each follower is modeled by the uncertain nonlinear strict-feedback system. Combining the fuzzy approximation with the dynamic surface control, an adaptive fuzzy control scheme is developed to guarantee the output consensus of all agents under directed communication topologies. Different from the existing results, the bounds of the control inputs are known as a priori, and they can be determined by the feedback control gains...
January 10, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092498/adaptive-fuzzy-output-feedback-control-for-switched-nonlinear-systems-with-unmodeled-dynamics
#3
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/28088014/reduced-complexity-of-force-and-muscle-activity-during-low-level-isometric-contractions-of-the-ankle-in-diabetic-individuals
#4
E Y Suda, P Madeleine, R P Hirata, A Samani, T T Kawamura, I C N Sacco
BACKGROUND: This study evaluated the structure and amount of variability of surface electromyography (sEMG) patterns and ankle force data during low-level isometric contractions in diabetic subjects with different degrees of neuropathy. METHODS: We assessed 10 control subjects and 38 diabetic patients, classified as absent, mild, moderate, or severe neuropathy, by a fuzzy system based on clinical variables. Multichannel sEMG (64-electrode matrix) of tibialis anterior and gastrocnemius medialis muscles were acquired during isometric contractions at 10%, 20%, and 30% of the maximum voluntary contraction, and force levels during dorsi- and plantarflexion were recorded...
January 4, 2017: Clinical Biomechanics
https://www.readbyqxmd.com/read/28067777/a-fuzzy-based-approach-for-sensing-coding-and-transmission-configuration-of-visual-sensors-in-smart-city-applications
#5
Daniel G Costa, Mario Collotta, Giovanni Pau, Cristian Duran-Faundez
The advance of technologies in several areas has allowed the development of smart city applications, which can improve the way of life in modern cities. When employing visual sensors in that scenario, still images and video streams may be retrieved from monitored areas, potentially providing valuable data for many applications. Actually, visual sensor networks may need to be highly dynamic, reflecting the changing of parameters in smart cities. In this context, characteristics of visual sensors and conditions of the monitored environment, as well as the status of other concurrent monitoring systems, may affect how visual sensors collect, encode and transmit information...
January 5, 2017: Sensors
https://www.readbyqxmd.com/read/28063315/chemical-modeling-of-groundwater-in-the-banat-plain-southwestern-romania-with-elevated-as-content-and-co-occurring-species-by-combining-diagrams-and-unsupervised-multivariate-statistical-approaches
#6
Sinziana Butaciu, Marin Senila, Costel Sarbu, Michaela Ponta, Claudiu Tanaselia, Oana Cadar, Marius Roman, Emil Radu, Mihaela Sima, Tiberiu Frentiu
The study proposes a combined model based on diagrams (Gibbs, Piper, Stuyfzand Hydrogeochemical Classification System) and unsupervised statistical approaches (Cluster Analysis, Principal Component Analysis, Fuzzy Principal Component Analysis, Fuzzy Hierarchical Cross-Clustering) to describe natural enrichment of inorganic arsenic and co-occurring species in groundwater in the Banat Plain, southwestern Romania. Speciation of inorganic As (arsenite, arsenate), ion concentrations (Na(+), K(+), Ca(2+), Mg(2+), HCO3(-), Cl(-), F(-), SO4(2-), PO4(3-), NO3(-)), pH, redox potential, conductivity and total dissolved substances were performed...
December 29, 2016: Chemosphere
https://www.readbyqxmd.com/read/28055939/efficient-approach-for-rls-type-learning-in-tsk-neural-fuzzy-systems
#7
Jen-Wei Yeh, Shun-Feng Su
This paper presents an efficient approach for the use of recursive least square (RLS) learning algorithm in Takagi-Sugeno-Kang neural fuzzy systems. In the use of RLS, reduced covariance matrix, of which the off-diagonal blocks defining the correlation between rules are set to zeros, may be employed to reduce computational burden. However, as reported in the literature, the performance of such an approach is slightly worse than that of using the full covariance matrix. In this paper, we proposed a so-called enhanced local learning concept in which a threshold is considered to stop learning for those less fired rules...
December 29, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28045964/evolution-of-collective-behaviour-in-an-artificial-world-using-linguistic-fuzzy-rule-based-systems
#8
Jure Demšar, Iztok Lebar Bajec
Collective behaviour is a fascinating and easily observable phenomenon, attractive to a wide range of researchers. In biology, computational models have been extensively used to investigate various properties of collective behaviour, such as: transfer of information across the group, benefits of grouping (defence against predation, foraging), group decision-making process, and group behaviour types. The question 'why,' however remains largely unanswered. Here the interest goes into which pressures led to the evolution of such behaviour, and evolutionary computational models have already been used to test various biological hypotheses...
2017: PloS One
https://www.readbyqxmd.com/read/28040592/risk-assessment-model-to-prioritize-sewer-pipes-inspection-in-wastewater-collection-networks
#9
Mohammad Javad Anbari, Massoud Tabesh, Abbas Roozbahani
In wastewater systems as one of the most important urban infrastructures, the adverse consequences and effects of unsuitable performance and failure event can sometimes lead to disrupt part of a city functioning. By identifying high failure risk areas, inspections can be implemented based on the system status and thus can significantly increase the sewer network performance. In this study, a new risk assessment model is developed to prioritize sewer pipes inspection using Bayesian Networks (BNs) as a probabilistic approach for computing probability of failure and weighted average method to calculate the consequences of failure values...
December 29, 2016: Journal of Environmental Management
https://www.readbyqxmd.com/read/28034435/water-quality-assessment-in-qu-river-based-on-fuzzy-water-pollution-index-method
#10
Ranran Li, Zhihong Zou, Yan An
A fuzzy improved water pollution index was proposed based on fuzzy inference system and water pollution index. This method can not only give a comprehensive water quality rank, but also describe the water quality situation with a quantitative value, which is convenient for the water quality comparison between the same ranks. This proposed method is used to assess water quality of Qu River in Sichuan, China. Data used in the assessment were collected from four monitoring stations from 2006 to 2010. The assessment results show that Qu River water quality presents a downward trend and the overall water quality in 2010 is the worst...
December 2016: Journal of Environmental Sciences (China)
https://www.readbyqxmd.com/read/28031013/development-of-a-web-enabled-svr-based-machine-learning-platform-and-its-application-on-modeling-transgene-expression-activity-of-aminoglycoside-derived-polycations
#11
Zhuo Zhen, Thrimoorthy Potta, Nicholas A Lanzillo, Kaushal Rege, Curt M Breneman
Support Vector Regression (SVR) has become increasingly popular in cheminformatics modeling. As a result, SVR-based machine learning algorithms, including Fuzzy-SVR and Least Square-SVR (LS-SVR) have been developed and applied in various research areas. However, at present, few downloadable packages or public-domain software are available for these algorithms. To address this need, we developed the Support vector regression-based Online Learning Equipment (SOLE) web tool (available at http://reccr.chem.rpi...
December 28, 2016: Combinatorial Chemistry & High Throughput Screening
https://www.readbyqxmd.com/read/28029478/development-and-evaluation-of-a-comprehensive-drought-index
#12
Elaheh Esfahanian, A Pouyan Nejadhashemi, Mohammad Abouali, Umesh Adhikari, Zhen Zhang, Fariborz Daneshvar, Matthew R Herman
Droughts are known as the world's costliest natural disasters impacting a variety of sectors. Despite their wide range of impacts, no universal drought definition has been defined. The goal of this study is to define a universal drought index that considers drought impacts on meteorological, agricultural, hydrological, and stream health categories. Additionally, predictive drought models are developed to capture both categorical (meteorological, hydrological, and agricultural) and overall impacts of drought...
October 28, 2016: Journal of Environmental Management
https://www.readbyqxmd.com/read/28028499/barrett-s-mucosa-segmentation-in-endoscopic-images-using-a-hybrid-method-spatial-fuzzy-c-mean-and-level-set
#13
Hossein Yousefi-Banaem, Hossein Rabbani, Peyman Adibi
Barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastro-esophagus reflux. If left untreated, the disease will cause distal esophagus and gastric cardia adenocarcinoma. The malignancy risk is very high in short segment Barrett's mucosa. Therefore, lesion area segmentation can improve specialist decision for treatment. In this paper, we proposed a combined fuzzy method with active models for Barrett's mucosa segmentation. In this study, we applied three methods for special area segmentation and determination...
October 2016: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28025083/g-quadruplexes-in-human-promoters-a-challenge-for-therapeutic-applications
#14
REVIEW
Riccardo Rigo, Manlio Palumbo, Claudia Sissi
BACKGROUND: G-rich sequences undergo unique structural equilibria to form G-quadruplexes (G4) both in vitro and in cell systems. Several pathologies emerged to be directly related to G4 occurrence at defined genomic portions. Additionally, G-rich sequences are significantly represented around transcription start sites (TSS) thus leading to the hypothesis of a gene regulatory function for G4. Thus, the tuning of G4 formation has been proposed as a new powerful tool to regulate gene expression to treat related pathologies...
December 23, 2016: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28017983/neuro-fuzzy-modeling-to-predict-physicochemical-and-microbiological-parameters-of-partially-dried-cherry-tomato-during-storage-effects-on-water-activity-temperature-and-storage-time
#15
Yang Tao, Yong Li, Ruiyun Zhou, Dinh-Toi Chu, Lijuan Su, Yongbin Han, Jianzhong Zhou
In the study, osmotically dehydrated cherry tomatoes were partially dried to water activity between 0.746 and 0.868, vacuum-packed and stored at 4-30 °C for 60 days. Adaptive neuro-fuzzy inference system (ANFIS) was utilized to predict the physicochemical and microbiological parameters of these partially dried cherry tomatoes during storage. Satisfactory accuracies were obtained when ANFIS was used to predict the lycopene and total phenolic contents, color and microbial contamination. The coefficients of determination for all the ANFIS models were higher than 0...
October 2016: Journal of Food Science and Technology
https://www.readbyqxmd.com/read/28017417/an-enhanced-export-coefficient-based-optimization-model-for-supporting-agricultural-nonpoint-source-pollution-mitigation-under-uncertainty
#16
Qiangqiang Rong, Yanpeng Cai, Bing Chen, Wencong Yue, Xin'an Yin, Qian Tan
In this research, an export coefficient based dual inexact two-stage stochastic credibility constrained programming (ECDITSCCP) model was developed through integrating an improved export coefficient model (ECM), interval linear programming (ILP), fuzzy credibility constrained programming (FCCP) and a fuzzy expected value equation within a general two stage programming (TSP) framework. The proposed ECDITSCCP model can effectively address multiple uncertainties expressed as random variables, fuzzy numbers, pure and dual intervals...
December 22, 2016: Science of the Total Environment
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/28008216/understanding-genetic-breast-cancer-risk-processing-loci-of-the-brca-gist-intelligent-tutoring-system
#18
Christopher R Wolfe, Valerie F Reyna, Colin L Widmer, Elizabeth M Cedillos-Whynott, Priscila G Brust-Renck, Audrey M Weil, Xiangen Hu
The BRCA Gist Intelligent Tutoring System helps women understand and make decisions about genetic testing for breast cancer risk. BRCA Gist is guided by Fuzzy-Trace Theory, (FTT) and built using AutoTutor Lite. It responds differently to participants depending on what they say. Seven tutorial dialogues requiring explanation and argumentation are guided by three FTT concepts: forming gist explanations in one's own words, emphasizing decision-relevant information, and deliberating the consequences of decision alternatives...
July 2016: Learning and Individual Differences
https://www.readbyqxmd.com/read/28005249/runtime-verification-of-pacemaker-functionality-using-hierarchical-fuzzy-colored-petri-nets
#19
Negar Majma, Seyed Morteza Babamir, Amirhassan Monadjemi
Today, implanted medical devices are increasingly used for many patients and in case of diverse health problems. However, several runtime problems and errors are reported by the relevant organizations, even resulting in patient death. One of those devices is the pacemaker. The pacemaker is a device helping the patient to regulate the heartbeat by connecting to the cardiac vessels. This device is directed by its software, so any failure in this software causes a serious malfunction. Therefore, this study aims to a better way to monitor the device's software behavior to decrease the failure risk...
February 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/27992358/command-filtering-based-fuzzy-control-for-nonlinear-systems-with-saturation-input
#20
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
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