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https://www.readbyqxmd.com/read/28648252/active-fault-tolerant-control-based-on-interval-type-2-fuzzy-sliding-mode-controller-and-non-linear-adaptive-observer-for-3-dof-laboratory-helicopter
#1
Samir Zeghlache, Tarak Benslimane, Abderrahmen Bouguerra
In this paper, a robust controller for a three degree of freedom (3 DOF) helicopter control is proposed in presence of actuator and sensor faults. For this purpose, Interval type-2 fuzzy logic control approach (IT2FLC) and sliding mode control (SMC) technique are used to design a controller, named active fault tolerant interval type-2 Fuzzy Sliding mode controller (AFTIT2FSMC) based on non-linear adaptive observer to estimate and detect the system faults for each subsystem of the 3-DOF helicopter. The proposed control scheme allows avoiding difficult modeling, attenuating the chattering effect of the SMC, reducing the rules number of the fuzzy controller...
June 22, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28633950/a-multi-scale-integrated-modeling-framework-to-measure-comprehensive-impact-of-coastal-reclamation-activities-in-yellow-river-estuary-china
#2
Yan Xu, Yanpeng Cai, Tao Sun, Qian Tan
In this paper, an improved multi-scale integrated modeling framework has been established to evaluate coastal reclamation intensity (CRI). About 7 indicators are considered, including ecological degradation intensity (EDI), hydrodynamic disturbance (IHD), engineering types, water quality, economic investment, population growth, and reclaimed land area. Meanwhile, an integrated framework enhanced methods in terms of (a) measuring intensity of ecological degradation process under multi-scale impact, (b) developing the indicator system of CRI, and discussing the driving forces and trends of coastal reclamation, (c) determining fuzzy preference relations of weight and calculating the specific value of CRI with the case study areas of Yellow River estuary from 2000 to 2015...
June 17, 2017: Marine Pollution Bulletin
https://www.readbyqxmd.com/read/28633855/nanocomposites-synthesis-characterization-and-its-application-to-removal-azo-dyes-using-ultrasonic-assisted-method-modeling-and-optimization
#3
Sima Porhemmat, Mehrorang Ghaedi, Ali Reza Rezvani, Mohammad Hossein Ahmadi Azqhandi, Ali Akbar Bazrafshan
S-doped and Cu- and Co-doped TiO2 was synthesized by a sol-gel method and characterized by FE-SEM, XRD, EDX and FTIR. The Co/Cu/S-TiO2 nanocomposite loaded on the activated carbon as new nanoadsorbent was used for simultaneous removal of methylene blue (MB) and sunset yellow (SY) from aqueous solution by ultrasonic-assisted adsorption method. In this work, central composite design (CCD) and adaptive neuro-fuzzy inference system (ANFIS) as a support tool for examining data and making prediction are used to recognize and predict the removal percentage in MB and SY dye solution of different concentrations...
September 2017: Ultrasonics Sonochemistry
https://www.readbyqxmd.com/read/28625101/a-versatile-method-for-bladder-segmentation-in-computed-tomography-two-dimensional-images-under-adverse-conditions
#4
João Ribeiro Pinto, João Manuel Rs Tavares
This article presents the design and evaluation of an algorithm for urinary bladder segmentation in medical images, from contrastless computed tomography studies of patients suffering from bladder wall tumours. These situations require versatile methods of segmentation, able to adapt to the structural changes the tumours provoke in the bladder wall, reflected as irregularities on the images obtained, creating adversities to the segmentation process. This semi-automatic method uses fuzzy c-means clustering, a Gaussian-curve-based intensity transformation, and active contour models, requiring only the physician's input of a single seed point for each anatomical view, in order to segment the bladder volume in all frames that include it...
June 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28623745/a-new-air-quality-monitoring-and-early-warning-system-air-quality-assessment-and-air-pollutant-concentration-prediction
#5
Zhongshan Yang, Jian Wang
Air pollution in many countries is worsening with industrialization and urbanization, resulting in climate change and affecting people's health, thus, making the work of policymakers more difficult. It is therefore both urgent and necessary to establish amore scientific air quality monitoring and early warning system to evaluate the degree of air pollution objectively, and predict pollutant concentrations accurately. However, the integration of air quality assessment and air pollutant concentration prediction to establish an air quality system is not common...
June 14, 2017: Environmental Research
https://www.readbyqxmd.com/read/28610695/a-fuzzy-based-system-reveals-alzheimer-s-disease-onset-in-subjects-with-mild-cognitive-impairment
#6
Sabina Tangaro, Annarita Fanizzi, Nicola Amoroso, Roberto Bellotti
Alzheimer's Disease (AD) is the most frequent neurodegenerative form of dementia. Although dementia cannot be cured, it is very important to detect preclinical AD as early as possible. Several studies demonstrated the effectiveness of the joint use of structural Magnetic Resonance Imaging (MRI) and cognitive measures to detect and track the progression of the disease. Since hippocampal atrophy is a well known biomarker for AD progression state, we propose here a novel methodology, exploiting it as a searchlight to detect the best discriminating features for the classification of subjects with Mild Cognitive Impairment (MCI) converting (MCI-c) or not converting (MCI-nc) to AD...
June 2017: Physica Medica: PM
https://www.readbyqxmd.com/read/28605651/fast-str-allele-identification-with-strait-razor-3-0
#7
August E Woerner, Jonathan L King, Bruce Budowle
The short tandem repeat allele identification tool (STRait Razor), a program used to characterize the haplotypes of short tandem repeats (STRs) in massively parallel sequencing (MPS) data, was redesigned. STRait Razor v3.0 performs ∼660× faster allele identification than its previous version (v2s), a speedup that is largely due to a novel indexing strategy used to perform "fuzzy" (approximate) string matching of anchor sequences. Written in a portable compiled language, C++, STRait Razor v3.0 functions on all major operating systems including Microsoft Windows, and it has cross-platform multithreading support...
June 1, 2017: Forensic Science International. Genetics
https://www.readbyqxmd.com/read/28603939/mesh-free-based-variational-level-set-evolution-for-breast-region-segmentation-and-abnormality-detection-using-mammograms
#8
Kanchan L Kashyap, Manish K Bajpai, Pritee Khanna, George Giakos
Automatic segmentation of abnormal region is a crucial task in computer aided detection system using mammograms. In this work an automatic abnormality detection algorithm using mammographic images is proposed. In the preprocessing step, partial differential equation based variational level set method is employed for breast region extraction. The evolution of the level set method is done by applying mesh-free based radial basis function. The limitation of mesh-based approach is removed by using mesh-free based RBF method...
June 11, 2017: International Journal for Numerical Methods in Biomedical Engineering
https://www.readbyqxmd.com/read/28602000/integrated-waste-load-allocation-for-river-water-pollution-control-under-uncertainty-a-case-study-of-tuojiang-river-china
#9
Jiuping Xu, Shuhua Hou, Liming Yao, Chaozhi Li
This paper presents a bi-level optimization waste load allocation programming model under a fuzzy random environment to assist integrated river pollution control. Taking account of the leader-follower decision-making in the water function zones framework, the proposed approach examines the decision making feedback relationships and conflict coordination between the river basin authority and the regional Environmental Protection Agency (EPA) based on the Stackelberg-Nash equilibrium strategy. In the pollution control system, the river basin authority, as the leader, allocates equitable emissions rights to different subareas, and the then subarea EPA, as the followers, reallocates the limited resources to various functional zones to minimize pollution costs...
June 10, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28600272/interval-observer-based-fault-isolation-for-discrete-time-fuzzy-interconnected-systems-with-unknown-interconnections
#10
Zhi-Hui Zhang, Guang-Hong Yang
This paper is concerned with the fault isolation problem for discrete-time fuzzy interconnected systems with unknown interconnections. First, for each subsystem, a fault isolation interval observer is constructed by taking into account the bounds of the unknown interconnections and subsystem disturbances. Then, l₁ and H∞ performances are introduced to improve the tightness of the residual intervals and the sensitivity to their own faults, respectively. Furthermore, the fault isolation decision is made by determining whether the zero value is excluded from each residual interval...
June 6, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28600271/a-new-sensor-fault-isolation-method-for-t-s-fuzzy-systems
#11
Jiuxiang Dong, Yue Wu, Guang-Hong Yang
This paper is concerned with the fault isolation problem for T-S fuzzy systems with sensor faults. With the help of a set theoretic description of T-S fuzzy models, a new fault isolation scheme is proposed. It consists of a set of fuzzy observers and each of them corresponds to a specified sensor, where the antecedent and consequent parts of the observer are independent on the sensor output. Different from the existing approaches, the premise variables, which do not depend on the specified sensor output but depend on the other sensor outputs, are used in the proposed observer, which has the potential to lead to a better fault isolation performance...
June 5, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28585040/water-demand-forecasting-review-of-soft-computing-methods
#12
Iman Ghalehkhondabi, Ehsan Ardjmand, William A Young, Gary R Weckman
Demand forecasting plays a vital role in resource management for governments and private companies. Considering the scarcity of water and its inherent constraints, demand management and forecasting in this domain are critically important. Several soft computing techniques have been developed over the last few decades for water demand forecasting. This study focuses on soft computing methods of water consumption forecasting published between 2005 and 2015. These methods include artificial neural networks (ANNs), fuzzy and neuro-fuzzy models, support vector machines, metaheuristics, and system dynamics...
July 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28583350/indirect-adaptive-fuzzy-wavelet-neural-network-with-self-recurrent-consequent-part-for-ac-servo-system
#13
Runmin Hou, Li Wang, Qiang Gao, Yuanglong Hou, Chao Wang
This paper proposes a novel indirect adaptive fuzzy wavelet neural network (IAFWNN) to control the nonlinearity, wide variations in loads, time-variation and uncertain disturbance of the ac servo system. In the proposed approach, the self-recurrent wavelet neural network (SRWNN) is employed to construct an adaptive self-recurrent consequent part for each fuzzy rule of TSK fuzzy model. For the IAFWNN controller, the online learning algorithm is based on back propagation (BP) algorithm. Moreover, an improved particle swarm optimization (IPSO) is used to adapt the learning rate...
June 2, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28574372/monitoring-the-depth-of-anesthesia-using-a-new-adaptive-neuro-fuzzy-system
#14
Ahmad Shalbaf, Mohsen Saffar, Jamie W Sleigh, Reza Shalbaf
Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable. Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain activity using electroencephalogram (EEG) is very useful. This paper proposes a novel automated method for assessing the DoA using EEG. Firstly, 11 features including spectral, fractal and entropy are extracted from EEG signal and then, by applying an algorithm according to exhaustive search of all subsets of features, a combination of the best features (Beta-index, sample entropy, shannon permutation entropy and detrended fluctuation analysis) is selected...
May 29, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28574156/prediction-of-lithium-response-in-first-episode-mania-using-the-lithium-intelligent-agent-lithia-pilot-data-and-proof-of-concept
#15
David E Fleck, Nicholas Ernest, Caleb M Adler, Kelly Cohen, James C Eliassen, Matthew Norris, Richard A Komoroski, Wen-Jang Chu, Jeffrey A Welge, Thomas J Blom, Melissa P DelBello, Stephen M Strakowski
OBJECTIVES: Individualized treatment for bipolar disorder based on neuroimaging treatment targets remains elusive. To address this shortcoming, we developed a linguistic machine learning system based on a cascading genetic fuzzy tree (GFT) design called the LITHium Intelligent Agent (LITHIA). Using multiple objectively defined functional magnetic resonance imaging (fMRI) and proton magnetic resonance spectroscopy ((1) H-MRS) inputs, we tested whether LITHIA could accurately predict the lithium response in participants with first-episode bipolar mania...
June 2, 2017: Bipolar Disorders
https://www.readbyqxmd.com/read/28573352/risk-based-framework-for-optimizing-residual-chlorine-in-large-water-distribution-systems
#16
Muhammad Nadeem Sharif, Ashraf Farahat, Husnain Haider, Muhammad A Al-Zahrani, Manuel J Rodriguez, Rehan Sadiq
Managing residual chlorine in large water distribution systems (WDS) to minimize human health risk is a daunting task. In this research, a novel risk-based framework is developed and implemented in a distribution network spanning over 64 km(2) for supplying water to the city of Al-Khobar (Saudi Arabia) through 473-km-long water mains. The framework integrates the planning of linear assets (i.e., pipes) and placement of booster stations to optimize residual chlorine in the WDS. Failure mode and effect analysis are integrated with the fuzzy set theory to perform risk analysis...
July 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28571754/nonlinear-adaptive-control-based-on-fuzzy-sliding-mode-technique-and-fuzzy-based-compensator
#17
Sy Dzung Nguyen, Hoang Duy Vo, Tae-Il Seo
It is difficult to efficiently control nonlinear systems in the presence of uncertainty and disturbance (UAD). One of the main reasons derives from the negative impact of the unknown features of UAD as well as the response delay of the control system on the accuracy rate in the real time of the control signal. In order to deal with this, we propose a new controller named CO-FSMC for a class of nonlinear control systems subjected to UAD, which is constituted of a fuzzy sliding mode controller (FSMC) and a fuzzy-based compensator (CO)...
May 30, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28560191/application-of-fuzzy-logic-in-oral-cancer-risk-assessment
#18
Ioana Scrobotă, Grigore Băciuț, Adriana Gabriela Filip, Bianca Todor, Florin Blaga, Mihaela Felicia Băciuț
BACKGROUND: The mapping of the malignization mechanism is still incomplete, but oxidative stress is strongly correlated to carcinogenesis. In our research, using fuzzy logic, we aimed to estimate the oxidative stress related-cancerization risk of the oral potentially malignant disorders. METHODS: Serum from 16 patients diagnosed (clinical and histopathological) with oral potentially malignant disorders (Dept. of Cranio-Maxillofacial Surgery and Radiology, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj Napoca, Romania) was processed fluorometric for malondialdehyde and proton donors assays (Dept...
May 2017: Iranian Journal of Public Health
https://www.readbyqxmd.com/read/28555016/evaluation-of-feature-extraction-and-recognition-for-activity-monitoring-and-fall-detection-based-on-wearable-semg-sensors
#19
Xugang Xi, Minyan Tang, Seyed M Miran, Zhizeng Luo
As an essential subfield of context awareness, activity awareness, especially daily activity monitoring and fall detection, plays a significant role for elderly or frail people who need assistance in their daily activities. This study investigates the feature extraction and pattern recognition of surface electromyography (sEMG), with the purpose of determining the best features and classifiers of sEMG for daily living activities monitoring and fall detection. This is done by a serial of experiments. In the experiments, four channels of sEMG signal from wireless, wearable sensors located on lower limbs are recorded from three subjects while they perform seven activities of daily living (ADL)...
May 27, 2017: Sensors
https://www.readbyqxmd.com/read/28552127/adaptive-neuro-fuzzy-inference-system-for-breath-phase-detection-and-breath-cycle-segmentation
#20
Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj
BACKGROUND: The monitoring of the respiratory rate is vital in several medical conditions, including sleep apnea because patients with sleep apnea exhibit an irregular respiratory rate compared with controls. Therefore, monitoring the respiratory rate by detecting the different breath phases is crucial. OBJECTIVES: This study aimed to segment the breath cycles from pulmonary acoustic signals using the newly developed adaptive neuro-fuzzy inference system (ANFIS) based on breath phase detection and to subsequently evaluate the performance of the system...
July 2017: Computer Methods and Programs in Biomedicine
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