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https://www.readbyqxmd.com/read/27913370/asymptotic-fuzzy-neural-network-control-for-pure-feedback-stochastic-systems-based-on-a-semi-nussbaum-function-technique
#1
Ci Chen, Zhi Liu, Kan Xie, Yun Zhang, C L Philip Chen
Most existing control results for pure-feedback stochastic systems are limited to a condition that tracking errors are bounded in probability. Departing from such bounded results, this paper proposes an asymptotic fuzzy neural network control for pure-feedback stochastic systems. The control goal is realized by proposing a novel semi-Nussbaum function-based technique and employing it in adaptive backstepping controller design. The proposed Nussbaum function is integrated with adaptive control technique to guarantee that the tracking error is asymptotically stable in probability...
November 28, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27913367/a-new-method-for-self-estimation-of-the-severity-of-obstructive-sleep-apnea-using-easily-available-measurements-and-neural-fuzzy-evaluation-system
#2
Ming-Feng Wu, Wei-Chang Huang, Chia-Feng Juang, Kai-Ming Chang, Chih-Yu Wen, Yu-Hsuan Chen, Ching-Yi Lin, Yi-Chan Chen, Ching-Cheng Lin
This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea index (AHI) for evaluating obstructive sleep apnea (OSA). The variables considered are the change statuses of blood pressure (BP) before going to sleep and early in the morning as well as other five easily available measurements (age, body mass index (BMI) etc.) so that users can use the system for self-evaluation of OSA. A total of 150 subjects are reviewed retrospectively and categorized as training (120 subjects) and validation (30 subjects) sets by a five-fold cross validation scheme with stratified sampling based on the OSA severity...
December 1, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27911348/comparison-between-heart-rate-variability-and-pulse-rate-variability-during-different-sleep-stages-for-sleep-apnea-patients
#3
Shuangyan Liu, Jing Teng, Xianghua Qi, Shoushui Wei, Chengyu Liu
BACKGROUND: The usefulness of heart rate variability (HRV) in the clinical research has been verified in numerous studies. However, it is controversy that using pulse rate variability (PRV) as a surrogate of HRV in different clinical applications. OBJECTIVE: We aimed to investigate whether PRV extracted from finger pulse photoplethysmography (Pleth) signal could substitute HRV from ECG signal during different sleep stages by analyzing the common time-domain, frequency-domain and non-linear indices...
November 25, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27895963/evaluation-of-semi-automatic-segmentation-methods-for-persistent-ground-glass-nodules-on-thin-section-ct-scans
#4
Young Jae Kim, Seung Hyun Lee, Chang Min Park, Kwang Gi Kim
OBJECTIVES: This work was a comparative study that aimed to find a proper method for accurately segmenting persistent ground glass nodules (GGN) in thin-section computed tomography (CT) images after detecting them. METHODS: To do this, we first applied five types of semi-automatic segmentation methods (i.e., level-set-based active contour model, localized region-based active contour model, seeded region growing, K-means clustering, and fuzzy C-means clustering) to preprocessed GGN images, respectively...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27894702/adaptive-pi-controller-to-voltage-regulation-in-power-systems-statcom-as-a-case-study
#5
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/27894027/assessing-the-safety-effects-of-cooperative-intelligent-transport-systems-a-bowtie-analysis-approach
#6
Ute Christine Ehlers, Eirin Olaussen Ryeng, Edward McCormack, Faisal Khan, Sören Ehlers
The safety effects of cooperative intelligent transport systems (C-ITS) are mostly unknown and associated with uncertainties, because these systems represent emerging technology. This study proposes a bowtie analysis as a conceptual framework for evaluating the safety effect of cooperative intelligent transport systems. These seek to prevent road traffic accidents or mitigate their consequences. Under the assumption of the potential occurrence of a particular single vehicle accident, three case studies demonstrate the application of the bowtie analysis approach in road traffic safety...
November 25, 2016: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/27893406/adaptive-granulation-based-prediction-for-energy-system-of-steel-industry
#7
Tianyu Wang, Zhongyang Han, Jun Zhao, Wei Wang
The flow variation tendency of byproduct gas plays a crucial role for energy scheduling in steel industry. An accurate prediction of its future trends will be significantly beneficial for the economic profits of steel enterprise. In this paper, a long-term prediction model for the energy system is proposed by providing an adaptive granulation-based method that considers the production semantics involved in the fluctuation tendency of the energy data, and partitions them into a series of information granules...
November 23, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27886061/accelerating-families-of-fuzzy-k-means-algorithms-for-vector-quantization-codebook-design
#8
Edson Mata, Silvio Bandeira, Paulo de Mattos Neto, Waslon Lopes, Francisco Madeiro
The performance of signal processing systems based on vector quantization depends on codebook design. In the image compression scenario, the quality of the reconstructed images depends on the codebooks used. In this paper, alternatives are proposed for accelerating families of fuzzy K-means algorithms for codebook design. The acceleration is obtained by reducing the number of iterations of the algorithms and applying efficient nearest neighbor search techniques. Simulation results concerning image vector quantization have shown that the acceleration obtained so far does not decrease the quality of the reconstructed images...
November 23, 2016: Sensors
https://www.readbyqxmd.com/read/27886023/quantifying-the-dynamic-of-osa-brain-using-multifractal-formalism-a-novel-measure-for-sleep-fragmentation
#9
Somayeh Raiesdana
It is thought that the critical brain dynamics in sleep is modulated during frequent periods of wakefulness. This paper utilizes the capacity of EEG based scaling analysis to quantify sleep fragmentation in patients with obstructive sleep apnea. The scale-free (fractal) behavior refers to a state where no characteristic scale dominates the dynamics of the underlying process which is evident as long range correlations in a time series. Here, Multiscaling (multifractal) spectrum is utilized to quantify the disturbed dynamic of an OSA brain with fragmented sleep...
November 18, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27869725/wireless-mid-infrared-spectroscopy-sensor-network-for-automatic-carbon-dioxide-fertilization-in-a-greenhouse-environment
#10
Jianing Wang, Xintao Niu, Lingjiao Zheng, Chuantao Zheng, Yiding Wang
In this paper, a wireless mid-infrared spectroscopy sensor network was designed and implemented for carbon dioxide fertilization in a greenhouse environment. A mid-infrared carbon dioxide (CO₂) sensor based on non-dispersive infrared (NDIR) with the functionalities of wireless communication and anti-condensation prevention was realized as the sensor node. Smart transmission power regulation was applied in the wireless sensor network, according to the Received Signal Strength Indication (RSSI), to realize high communication stability and low-power consumption deployment...
November 18, 2016: Sensors
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
#11
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...
November 16, 2016: Journal of Environmental Management
https://www.readbyqxmd.com/read/27832110/systematic-design-of-a-metal-ion-biosensor-a-multi-objective-optimization-approach
#12
Chih-Yuan Hsu, Bor-Sen Chen
With the recent industrial expansion, heavy metals and other pollutants have increasingly contaminated our living surroundings. Heavy metals, being non-degradable, tend to accumulate in the food chain, resulting in potentially damaging toxicity to organisms. Thus, techniques to detect metal ions have gradually begun to receive attention. Recent progress in research on synthetic biology offers an alternative means for metal ion detection via the help of promoter elements derived from microorganisms. To make the design easier, it is necessary to develop a systemic design method for evaluating and selecting adequate components to achieve a desired detection performance...
2016: PloS One
https://www.readbyqxmd.com/read/27828930/neonatal-icu-system-safety-a-pilot-test-for-medication-error-by-using-fuzzy-grey-relational-analysis
#13
Xin Zhang, Shih-Yu Lee, Jingli Chen, Huaping Liu
This study analyzed risk factors for medication/near-miss errors in the neonatal intensive care unit by using Grey Relational Analysis based on self-incident reports from staff nurses. The ASSESS-ERR Medication System Worksheet was used. A total of 156 medication/near-miss errors were found across 5 stages of the medication use process. The order prescribing stage had the most errors. The highest systemic risk factors were critical drug information missing; environmental, staffing, and workflow problems; and lack of staff education...
November 8, 2016: Journal of Nursing Care Quality
https://www.readbyqxmd.com/read/27827832/multi-sensor-fusion-with-interaction-multiple-model-and-chi-square-test-tolerant-filter
#14
Chun Yang, Arash Mohammadi, Qing-Wei Chen
Motivated by the key importance of multi-sensor information fusion algorithms in the state-of-the-art integrated navigation systems due to recent advancements in sensor technologies, telecommunication, and navigation systems, the paper proposes an improved and innovative fault-tolerant fusion framework. An integrated navigation system is considered consisting of four sensory sub-systems, i.e., Strap-down Inertial Navigation System (SINS), Global Navigation System (GPS), the Bei-Dou2 (BD2) and Celestial Navigation System (CNS) navigation sensors...
November 2, 2016: Sensors
https://www.readbyqxmd.com/read/27822439/fuzzy-rank-functions-in-the-set-of-all-binary-systems
#15
Hee Sik Kim, J Neggers, Keum Sook So
In this paper, we introduce fuzzy rank functions for groupoids, and we investigate their roles in the semigroup of binary systems by using the notions of right parallelisms and [Formula: see text]-shrinking groupoids.
2016: SpringerPlus
https://www.readbyqxmd.com/read/27818892/a-new-algorithm-to-find-fuzzy-hamilton-cycle-in-a-fuzzy-network-using-adjacency-matrix-and-minimum-vertex-degree
#16
A Nagoor Gani, S R Latha
A Hamiltonian cycle in a graph is a cycle that visits each node/vertex exactly once. A graph containing a Hamiltonian cycle is called a Hamiltonian graph. There have been several researches to find the number of Hamiltonian cycles of a Hamilton graph. As the number of vertices and edges grow, it becomes very difficult to keep track of all the different ways through which the vertices are connected. Hence, analysis of large graphs can be efficiently done with the assistance of a computer system that interprets graphs as matrices...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27818676/fuzzy-formula-see-text-output-feedback-control-for-the-discrete-time-system-with-channel-fadings-sector-nonlinearities-and-randomly-occurring-interval-delays-and-nonlinearities
#17
Xiaozheng Fan, Yan Wang, Manfeng Hu
In this paper, the fuzzy [Formula: see text] output-feedback control problem is investigated for a class of discrete-time T-S fuzzy systems with channel fadings, sector nonlinearities, randomly occurring interval delays (ROIDs) and randomly occurring nonlinearities (RONs). A series of variables of the randomly occurring phenomena obeying the Bernoulli distribution is used to govern ROIDs and RONs. Meanwhile, the measurement outputs are subject to the sector nonlinearities (i.e. the sensor saturations) and we assume the system output is [Formula: see text], [Formula: see text]...
2016: Advances in difference equations
https://www.readbyqxmd.com/read/27816179/takagi-sugeno-fuzzy-model-based-robust-dissipative-control-for-uncertain-flexible-spacecraft-with-saturated-time-delay-input
#18
Shidong Xu, Guanghui Sun, Weichao Sun
In this paper, the problem of robust dissipative control is investigated for uncertain flexible spacecraft based on Takagi-Sugeno (T-S) fuzzy model with saturated time-delay input. Different from most existing strategies, T-S fuzzy approximation approach is used to model the nonlinear dynamics of flexible spacecraft. Simultaneously, the physical constraints of system, like input delay, input saturation, and parameter uncertainties, are also taken care of in the fuzzy model. By employing Lyapunov-Krasovskii method and convex optimization technique, a novel robust controller is proposed to implement rest-to-rest attitude maneuver for flexible spacecraft, and the guaranteed dissipative performance enables the uncertain closed-loop system to reject the influence of elastic vibrations and external disturbances...
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
#19
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...
December 0: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/27809271/fuzzy-neural-network-based-interacting-multiple-model-for-multi-node-target-tracking-algorithm
#20
Baoliang Sun, Chunlan Jiang, Ming Li
An interacting multiple model for multi-node target tracking algorithm was proposed based on a fuzzy neural network (FNN) to solve the multi-node target tracking problem of wireless sensor networks (WSNs). Measured error variance was adaptively adjusted during the multiple model interacting output stage using the difference between the theoretical and estimated values of the measured error covariance matrix. The FNN fusion system was established during multi-node fusion to integrate with the target state estimated data from different nodes and consequently obtain network target state estimation...
November 1, 2016: Sensors
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