keyword
MENU ▼
Read by QxMD icon Read
search

Fuzzy systems

keyword
https://www.readbyqxmd.com/read/28817655/assessing-experience-in-the-deliberate-practice-of-running-using-a-fuzzy-decision-support-system
#1
Maria Isabel Roveri, Edison de Jesus Manoel, Andrea Naomi Onodera, Neli R S Ortega, Vitor Daniel Tessutti, Emerson Vilela, Nelson Evêncio, Isabel C N Sacco
The judgement of skill experience and its levels is ambiguous though it is crucial for decision-making in sport sciences studies. We developed a fuzzy decision support system to classify experience of non-elite distance runners. Two Mamdani subsystems were developed based on expert running coaches' knowledge. In the first subsystem, the linguistic variables of training frequency and volume were combined and the output defined the quality of running practice. The second subsystem yielded the level of running experience from the combination of the first subsystem output with the number of competitions and practice time...
2017: PloS One
https://www.readbyqxmd.com/read/28806754/short-term-prediction-of-solar-energy-in-saudi-arabia-using-automated-design-fuzzy-logic-systems
#2
Majid Almaraashi
Solar energy is considered as one of the main sources for renewable energy in the near future. However, solar energy and other renewable energy sources have a drawback related to the difficulty in predicting their availability in the near future. This problem affects optimal exploitation of solar energy, especially in connection with other resources. Therefore, reliable solar energy prediction models are essential to solar energy management and economics. This paper presents work aimed at designing reliable models to predict the global horizontal irradiance (GHI) for the next day in 8 stations in Saudi Arabia...
2017: PloS One
https://www.readbyqxmd.com/read/28801892/adaptive-neuro-fuzzy-inference-system-applied-qsar-with-bond-dissociation-energy-for-antioxidant-activities-of-phenolic-compounds
#3
Changho Jhin, Chu Won Nho, Keum Taek Hwang
The aim of this study was to develop quantitative structure-activity relationship (QSAR) models for predicting antioxidant activities of phenolic compounds. The bond dissociation energy of O-H bond (BDE) was calculated by semi-empirical quantum chemical methods. As a new parameter for QSAR models, sum of reciprocals of BDE of enol and phenol groups (X BDE ) was calculated. Significant correlations were observed between X BDE and antioxidant activities, and X BDE was introduced as a parameter for developing QSAR models...
August 11, 2017: Archives of Pharmacal Research
https://www.readbyqxmd.com/read/28801078/on-position-force-tracking-control-problem-of-cooperative-robot-manipulators-using-adaptive-fuzzy-backstepping-approach
#4
Barmak Baigzadehnoe, Zahra Rahmani, Alireza Khosravi, Behrooz Rezaie
In this paper, the position and force tracking control problem of cooperative robot manipulator system handling a common rigid object with unknown dynamical models and unknown external disturbances is investigated. The universal approximation properties of fuzzy logic systems are employed to estimate the unknown system dynamics. On the other hand, by defining new state variables based on the integral and differential of position and orientation errors of the grasped object, the error system of coordinated robot manipulators is constructed...
August 8, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28799926/daily-runoff-prediction-using-the-linear-and-non-linear-models
#5
Alireza Sharifi, Yagob Dinpashoh, Rasoul Mirabbasi
Runoff prediction, as a nonlinear and complex process, is essential for designing canals, water management and planning, flood control and predicting soil erosion. There are a number of techniques for runoff prediction based on the hydro-meteorological and geomorphological variables. In recent years, several soft computing techniques have been developed to predict runoff. There are some challenging issues in runoff modeling including the selection of appropriate inputs and determination of the optimum length of training and testing data sets...
August 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
https://www.readbyqxmd.com/read/28799120/a-sustainable-manufacturing-system-design-a-fuzzy-multi-objective-optimization-model
#6
Reda Nujoom, Ahmed Mohammed, Qian Wang
In the past decade, there has been a growing concern about the environmental protection in public society as governments almost all over the world have initiated certain rules and regulations to promote energy saving and minimize the production of carbon dioxide (CO2) emissions in many manufacturing industries. The development of sustainable manufacturing systems is considered as one of the effective solutions to minimize the environmental impact. Lean approach is also considered as a proper method for achieving sustainability as it can reduce manufacturing wastes and increase the system efficiency and productivity...
August 10, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28797060/adaptive-fuzzy-sliding-control-of-single-phase-pv-grid-connected-inverter
#7
Juntao Fei, Yunkai Zhu
In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum power point (MPP) by controlling the duty cycle of the controllable power switch of the boost DC-DC converter. An adaptive fuzzy sliding mode controller with an integral sliding surface is developed for the grid-connected inverter where a fuzzy system is used to approach the upper bound of the system nonlinearities...
2017: PloS One
https://www.readbyqxmd.com/read/28795254/an-efficient-method-for-kidney-allocation-problem-a-credibility-based-fuzzy-common-weights-data-envelopment-analysis-approach
#8
Sahar Ahmadvand, Mir Saman Pishvaee
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rapid revisions for the sake of improved outcomes in terms of both equity and medical efficiency. This paper presents a Data Envelopment Analysis (DEA)-based model to evaluate the efficiency of possible patient-organ pairs for kidney allocation in order to enhance the fitness of organ allocation under inherent uncertainty in such problem...
August 9, 2017: Health Care Management Science
https://www.readbyqxmd.com/read/28790400/prediction-of-infarction-volume-and-infarction-growth-rate-in-acute-ischemic-stroke
#9
Saadat Kamran, Naveed Akhtar, Ayman Alboudi, Kainat Kamran, Arsalan Ahmad, Jihad Inshasi, Abdul Salam, Ashfaq Shuaib, Uvais Qidwai
The prediction of infarction volume after stroke onset depends on the shape of the growth dynamics of the infarction. To understand growth patterns that predict lesion volume changes, we studied currently available models described in literature and compared the models with Adaptive Neuro-Fuzzy Inference System [ANFIS], a method previously unused in the prediction of infarction growth and infarction volume (IV). We included 67 patients with malignant middle cerebral artery [MMCA] stroke who underwent decompressive hemicraniectomy...
August 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28767375/a-trust-model-for-ubiquitous-healthcare-environment-on-the-basis-of-adaptable-fuzzy-probabilistic-inference-system
#10
Georgia Athanasiou, George C Anastasopoulos, Eleni Tiritidou, Dimitrios Lymberopoulos
Trust is considered to be a determinant on psychologist selection which can ensure patient satisfaction. Hence, trust concept is essential to be introduced into Ubiquitous Healthcare (UH) environment oriented on patients with anxiety disorders. This is accomplished by Trust Model estimating psychologists' trustworthiness, a priory to service delivery, with the use of patient's and his/her acquaintances testimonies, i.e. Personal Interaction Experience (PIE) and Reputation (R). In this paper, Trust Model is proposed to be materialized via an Adaptable Cloud Inference System (ACIS) that performs Trust Value (TV) estimation...
July 28, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28766105/the-development-of-a-novel-knowledge-based-weaning-algorithm-using-pulmonary-parameters-a-simulation-study
#11
Hasan Guler, Ugur Kilic
Weaning is important for patients and clinicians who have to determine correct weaning time so that patients do not become addicted to the ventilator. There are already some predictors developed, such as the rapid shallow breathing index (RSBI), the pressure time index (PTI), and Jabour weaning index. Many important dimensions of weaning are sometimes ignored by these predictors. This is an attempt to develop a knowledge-based weaning process via fuzzy logic that eliminates the disadvantages of the present predictors...
August 2, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28764539/magnetic-induction-of-hyperthermia-by-a-modified-self-learning-fuzzy-temperature-controller
#12
Wei-Cheng Wang, Cheng-Chi Tai
The aim of this study involved developing a temperature controller for magnetic induction hyperthermia (MIH). A closed-loop controller was applied to track a reference model to guarantee a desired temperature response. The MIH system generated an alternating magnetic field to heat a high magnetic permeability material. This wireless induction heating had few side effects when it was extensively applied to cancer treatment. The effects of hyperthermia strongly depend on the precise control of temperature. However, during the treatment process, the control performance is degraded due to severe perturbations and parameter variations...
July 2017: Review of Scientific Instruments
https://www.readbyqxmd.com/read/28761440/fuzzy-classification-of-high-resolution-remote-sensing-scenes-using-visual-attention-features
#13
Linyi Li, Tingbao Xu, Yun Chen
In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to classify remote sensing scenes. In this study, a novel visual attention feature extraction algorithm was proposed, which extracted visual attention features through a multiscale process. And a fuzzy classification method using visual attention features (FC-VAF) was developed to perform high resolution remote sensing scene classification...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28761439/extracting-t-s-fuzzy-models-using-the-cuckoo-search-algorithm
#14
Mourad Turki, Anis Sakly
A new method called cuckoo search (CS) is used to extract and learn the Takagi-Sugeno (T-S) fuzzy model. In the proposed method, the particle or cuckoo of CS is formed by the structure of rules in terms of number and selected rules, the antecedent, and consequent parameters of the T-S fuzzy model. These parameters are learned simultaneously. The optimized T-S fuzzy model is validated by using three examples: the first a nonlinear plant modelling problem, the second a Box-Jenkins nonlinear system identification problem, and the third identification of nonlinear system, comparing the obtained results with other existing results of other methods...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28759867/fuzzy-comprehensive-evaluation-of-multiple-environmental-factors-for-swine-building-assessment-and-control
#15
Qiuju Xie, Ji-Qin Ni, Zhongbin Su
In confined swine buildings, temperature, humidity, and air quality are all important for animal health and productivity. However, the current swine building environmental control is only based on temperature; and evaluation and control methods based on multiple environmental factors are needed. In this paper, fuzzy comprehensive evaluation (FCE) theory was adopted for multi-factor assessment of environmental quality in two commercial swine buildings using real measurement data. An assessment index system and membership functions were established; and predetermined weights were given using analytic hierarchy process (AHP) combined with knowledge of experts...
July 12, 2017: Journal of Hazardous Materials
https://www.readbyqxmd.com/read/28759442/a-comprehensive-evaluation-of-regional-water-safety-systems-based-on-a-similarity-cloud-model
#16
Yongtai Ren, Jiping Yao, Dongyang Xu, Jing Wang
Regional water safety systems are affected by social, economic, ecological, hydrological and other factors, and their effects are complicated and variable. Studying water safety systems is crucial to promoting the coordinated development of regional water safety systems and anthropogenic processes. Thus, a similarity cloud model is developed to simulate the evolution mechanisms of fuzzy and complex regional systems of water security and overcome the uncertainty that is associated with the indices that are used in water safety index systems...
July 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
https://www.readbyqxmd.com/read/28755269/automatic-torso-detection-in-images-of-preterm-infants
#17
Meharmeet Kaur, Andrew P Marshall, Caillin Eastwood-Sutherland, Brian P Salmon, Peter A Dargaville, Timothy J Gale
Imaging systems have applications in patient respiratory monitoring but with limited application in neonatal intensive care units (NICU). In this paper we propose an algorithm to automatically detect the torso in an image of a preterm infant during non-invasive respiratory monitoring. The algorithm uses normalised cut to segment each image into clusters, followed by two fuzzy inference systems to detect the nappy and torso. Our dataset comprised overhead images of 16 preterm infants in a NICU, with uncontrolled illumination, and encompassing variations in poses, presence of medical equipment and clutter in the background...
September 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28735210/moisture-content-prediction-in-poultry-litter-using-artificial-intelligence-techniques-and-monte-carlo-simulation-to-determine-the-economic-yield-from-energy-use
#18
José Octavio Rico-Contreras, Alberto Alfonso Aguilar-Lasserre, Juan Manuel Méndez-Contreras, Jhony Josué López-Andrés, Gabriela Cid-Chama
The objective of this study is to determine the economic return of poultry litter combustion in boilers to produce bioenergy (thermal and electrical), as this biomass has a high-energy potential due to its component elements, using fuzzy logic to predict moisture and identify the high-impact variables. This is carried out using a proposed 7-stage methodology, which includes a statistical analysis of agricultural systems and practices to identify activities contributing to moisture in poultry litter (for example, broiler chicken management, number of air extractors, and avian population density), and thereby reduce moisture to increase the yield of the combustion process...
July 20, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28734365/automatic-feed-phase-identification-in-multivariate-bioprocess-profiles-by-sequential-binary-classification
#19
Ramin Nikzad-Langerodi, Edwin Lughofer, Susanne Saminger-Platz, Thomas Zahel, Patrick Sagmeister, Christoph Herwig
In this paper, we propose a new strategy for retrospective identification of feed phases from online sensor-data enriched feed profiles of an Escherichia Coli (E. coli) fed-batch fermentation process. In contrast to conventional (static), data-driven multi-class machine learning (ML), we exploit process knowledge in order to constrain our classification system yielding more parsimonious models compared to static ML approaches. In particular, we enforce unidirectionality on a set of binary, multivariate classifiers trained to discriminate between adjacent feed phases by linking the classifiers through a one-way switch...
August 22, 2017: Analytica Chimica Acta
https://www.readbyqxmd.com/read/28718398/comparative-study-of-nmr-spectral-profiling-for-the-characterization-and-authentication-of-cannabis
#20
Xinyi Wang, Peter de Harrington, Steven Baugh
For the authentication of botanical materials, it is difficult to obtain representative reference materials because botanicals vary significantly with respect to cultivation conditions. Chemical profiling of plant extracts or spectral fingerprinting can differentiate botanicals and group them by their chemical profiles. NMR spectroscopy yields a powerful and useful method for profiling plant extracts. Both 500 MHz (1)H and (1)H-(1)H correlation NMR spectroscopy coupled with pattern recognition were used to discriminate among Cannabis samples...
July 18, 2017: Journal of AOAC International
keyword
keyword
15387
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"