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Fuzzy logic

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https://www.readbyqxmd.com/read/28449282/organotitania-based-nanostructures-as-a-suitable-platform-for-the-implementation-of-binary-ternary-and-fuzzy-logic-systems
#1
Andrzej Blachecki, Justyna Mech-Piskorz, Marta Gajewska, Krzysztof Mech, Kacper Pilarczyk, Konrad Szacilowski
Titanium dioxide nanocomposites were synthesized in hierarchical architectures with the use of 1,4-dihydroxyanthraquinone photosensitizer. In the first step, the dye was either incorporated into the TiO2 core or adsorbed on its surface. In the subsequent phase, both structures were covered with an outer layer of titanium dioxide. The structure, morphology, aggregation, spectroscopic and electrochemical properties of the synthesized TiO2-based materials are presented with a special emphasis on the photosensitization and the photocurrent switching phenomena which are also discussed within the context of the optical logic gates implementation and fuzzy logic systems operation...
April 27, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28431487/design-and-fuzzy-logic-control-of-an-active-wrist-orthosis
#2
Ergin Kilic, Erdi Dogan
People who perform excessive wrist movements throughout the day because of their professions have a higher risk of developing lateral and medial epicondylitis. If proper precautions are not taken against these diseases, serious consequences such as job loss and early retirement can occur. In this study, the design and control of an active wrist orthosis that is mobile, powerful and lightweight is presented as a means to avoid the occurrence and/or for the treatment of repetitive strain injuries in an effective manner...
April 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28422700/adaptive-fuzzy-control-for-nonstrict-feedback-systems-with-unmodeled-dynamics-and-fuzzy-dead-zone-via-output-feedback
#3
Lijie Wang, Hongyi Li, Qi Zhou, Renquan Lu
This paper investigates the problem of observer-based adaptive fuzzy control for a category of nonstrict feedback systems subject to both unmodeled dynamics and fuzzy dead zone. Through constructing a fuzzy state observer and introducing a center of gravity method, unmeasurable states are estimated and the fuzzy dead zone is defuzzified, respectively. By employing fuzzy logic systems to identify the unknown functions. And combining small-gain approach with adaptive backstepping control technique, a novel adaptive fuzzy output feedback control strategy is developed, which ensures that all signals involved are semi-globally uniformly bounded...
April 12, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28420156/a-strain-based-method-to-estimate-slip-angle-and-tire-working-conditions-for-intelligent-tires-using-fuzzy-logic
#4
Daniel Garcia-Pozuelo, Jorge Yunta, Oluremi Olatunbosun, Xiaoguang Yang, Vicente Diaz
Tires equipped with sensors, the so-called "intelligent tires", can provide vital information for control systems, drivers and external users. In this research, tire dynamic strain characteristics in cornering conditions are collected and analysed in relation to the variation of tire working conditions, such as inflation pressure, rolling speed, vertical load and slip angle. An experimental tire strain-based prototype and an indoor tire test rig are used to demonstrate the suitability of strain sensors to establish relations between strain data and lateral force...
April 16, 2017: Sensors
https://www.readbyqxmd.com/read/28413358/the-soft-computing-based-approach-to-investigate-allergic-diseases-a-systematic-review
#5
Gennaro Tartarisco, Alessandro Tonacci, Paola Lucia Minciullo, Lucia Billeci, Giovanni Pioggia, Cristoforo Incorvaia, Sebastiano Gangemi
BACKGROUND: Early recognition of inflammatory markers and their relation to asthma, adverse drug reactions, allergic rhinitis, atopic dermatitis and other allergic diseases is an important goal in allergy. The vast majority of studies in the literature are based on classic statistical methods; however, developments in computational techniques such as soft computing-based approaches hold new promise in this field. OBJECTIVE: The aim of this manuscript is to systematically review the main soft computing-based techniques such as artificial neural networks, support vector machines, bayesian networks and fuzzy logic to investigate their performances in the field of allergic diseases...
2017: Clinical and Molecular Allergy: CMA
https://www.readbyqxmd.com/read/28393048/comment-on-profitability-analysis-of-a-femtosecond-laser-system-for-cataract-surgery-using-a-fuzzy-logic-approach
#6
Harry William Roberts, Melody Zhifang Ni, David Phillip S O'Brart
No abstract text is available yet for this article.
2017: International Journal of Ophthalmology
https://www.readbyqxmd.com/read/28372800/a-novel-interval-type-2-fractional-order-fuzzy-pid-controller-design-performance-evaluation-and-its-optimal-time-domain-tuning
#7
Anupam Kumar, Vijay Kumar
In this paper, a novel concept of an interval type-2 fractional order fuzzy PID (IT2FO-FPID) controller, which requires fractional order integrator and fractional order differentiator, is proposed. The incorporation of Takagi-Sugeno-Kang (TSK) type interval type-2 fuzzy logic controller (IT2FLC) with fractional controller of PID-type is investigated for time response measure due to both unit step response and unit load disturbance. The resulting IT2FO-FPID controller is examined on different delayed linear and nonlinear benchmark plants followed by robustness analysis...
March 31, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28368838/adaptive-fuzzy-output-constrained-fault-tolerant-control-of-nonlinear-stochastic-large-scale-systems-with-actuator-faults
#8
Yongming Li, Zhiyao Ma, Shaocheng Tong
The problem of adaptive fuzzy output-constrained tracking fault-tolerant control (FTC) is investigated for the large-scale stochastic nonlinear systems of pure-feedback form. The nonlinear systems considered in this paper possess the unstructured uncertainties, unknown interconnected terms and unknown nonaffine nonlinear faults. The fuzzy logic systems are employed to identify the unknown lumped nonlinear functions so that the problems of structured uncertainties can be solved. An adaptive fuzzy state observer is designed to solve the nonmeasurable state problem...
March 27, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28365459/estimation-of-co2-reduction-by-parallel-hard-type-power-hybridization-for-gasoline-and-diesel-vehicles
#9
Yunjung Oh, Junhong Park, Jong Tae Lee, Jigu Seo, Sungwook Park
The purpose of this study is to investigate possible improvements in ICEVs by implementing fuzzy logic-based parallel hard-type power hybrid systems. Two types of conventional ICEVs (gasoline and diesel) and two types of HEVs (gasoline-electric, diesel electric) were generated using vehicle and powertrain simulation tools and a Matlab-Simulink application programming interface. For gasoline and gasoline-electric HEV vehicles, the prediction accuracy for four types of LDV models was validated by conducting comparative analysis with the chassis dynamometer and OBD test data...
March 30, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28363767/time-scaling-based-sliding-mode-control-for-neuromuscular-electrical-stimulation-under-uncertain-relative-degrees
#10
Tiago Roux Oliveira, Luiz Rennó Costa, João Marcos Yamasaki Catunda, Alexandre Visintainer Pino, William Barbosa, Márcio Nogueira de Souza
This paper addresses the application of the sliding mode approach to control the arm movements by artificial recruitment of muscles using Neuromuscular Electrical Stimulation (NMES). Such a technique allows the activation of motor nerves using surface electrodes. The goal of the proposed control system is to move the upper limbs of subjects through electrical stimulation to achieve a desired elbow angular displacement. Since the human neuro-motor system has individual characteristics, being time-varying, nonlinear and subject to uncertainties, the use of advanced robust control schemes may represent a better solution than classical Proportional-Integral (PI) controllers and model-based approaches, being simpler than more sophisticated strategies using fuzzy logic or neural networks usually applied in this control problem...
March 28, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28342420/mapping-vulnerability-of-multiple-aquifers-using-multiple-models-and-fuzzy-logic-to-objectively-derive-model-structures
#11
Ata Allah Nadiri, Zahra Sedghi, Rahman Khatibi, Maryam Gharekhani
Driven by contamination risks, mapping Vulnerability Indices (VI) of multiple aquifers (both unconfined and confined) is investigated by integrating the basic DRASTIC framework with multiple models overarched by Artificial Neural Networks (ANN). The DRASTIC framework is a proactive tool to assess VI values using the data from the hydrosphere, lithosphere and anthroposphere. However, a research case arises for the application of multiple models on the ground of poor determination coefficients between the VI values and non-point anthropogenic contaminants...
March 22, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28342339/a-novel-hybrid-strategy-for-pm2-5-concentration-analysis-and-prediction
#12
Ping Jiang, Qingli Dong, Peizhi Li
The analysis and prediction of air pollutants are of great significance in environmental research today since airborne pollution is a substantial threat, especially in urban agglomerations of China. To develop more effective warning systems and management advice, the authorities and city dwellers need more accurate forecasts of the air pollution. Most previous analysis systems were based on costly observation apparatus at fixed sites, forecasting models were usually built on observations within a certain range, and some observations contained biases...
March 22, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28325604/early-prediction-of-radiotherapy-induced-parotid-shrinkage-and-toxicity-based-on-ct-radiomics-and-fuzzy-classification
#13
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the prediction is obtained timely, before or during the early phase of treatment. Artificial intelligence can address the problem, by learning from examples and building classification models. In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers...
March 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#14
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28324254/pilot-testing-model-to-uncover-industrial-symbiosis-in-brazilian-industrial-clusters
#15
Adriana Valélia Saraceni, Luis Mauricio Resende, Pedro Paulo de Andrade Júnior, Joseane Pontes
The main objective of this study was to create a pilot model to uncover industrial symbiosis practices in Brazilian industrial clusters. For this purpose, a systematic revision was conducted in journals selected from two categories of the ISI Web of Knowledge: Engineering, Environmental and Engineering, Industrial. After an in-depth revision of literature, results allowed the creation of an analysis structure. A methodology based on fuzzy logic was applied and used to attribute the weights of industrial symbiosis variables...
March 21, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28293273/mathematical-modelling-of-immune-parameters-in-the-evolution-of-severe-dengue
#16
M K Premaratne, S S N Perera, G N Malavige, Saroj Jayasinghe
Aims. Predicting the risk of severity at an early stage in an individual patient will be invaluable in preventing morbidity and mortality caused by dengue. We hypothesized that such predictions are possible by analyzing multiple parameters using mathematical modeling. Methodology. Data from 11 adult patients with dengue fever (DF) and 25 patients with dengue hemorrhagic fever (DHF) were analyzed. Multivariate statistical analysis was performed to study the characteristics and interactions of parameters using dengue NS1 antigen levels, dengue IgG antibody levels, platelet counts, and lymphocyte counts...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28284213/mathematical-modelling-and-a-systems-science-approach-to-describe-the-role-of-cytokines-in-the-evolution-of-severe-dengue
#17
S D Pavithra Jayasundara, S S N Perera, Gathsaurie Neelika Malavige, Saroj Jayasinghe
BACKGROUND: Dengue causes considerable morbidity and mortality in Sri Lanka. Inflammatory mediators such as cytokines, contribute to its evolution from an asymptotic infection to severe forms of dengue. The majority of previous studies have analysed the association of individual cytokines with clinical disease severity. In contrast, we view evolution to Dengue Haemorrhagic Fever as the behaviour of a complex dynamic system. We therefore, analyse the combined effect of multiple cytokines that interact dynamically with each other in order to generate a mathematical model to predict occurrence of Dengue Haemorrhagic Fever...
March 11, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28280505/advanced-interval-type-2-fuzzy-sliding-mode-control-for-robot-manipulator
#18
Ji-Hwan Hwang, Young-Chang Kang, Jong-Wook Park, Dong W Kim
In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2 fuzzy system, sliding mode controller is designed, respectively. The tuning algorithms are derived in the sense of Lyapunov stability theorem...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28269298/skills-based-evaluation-of-alternative-input-methods-to-command-a-semi-autonomous-electric-wheelchair
#19
Mario Rojas, Pedro Ponce, Arturo Molina
This paper presents the evaluation, under standardized metrics, of alternative input methods to steer and maneuver a semi-autonomous electric wheelchair. The Human-Machine Interface (HMI), which includes a virtual joystick, head movements and speech recognition controls, was designed to facilitate mobility skills for severely disabled people. Thirteen tasks, which are common to all the wheelchair users, were attempted five times by controlling it with the virtual joystick and the hands-free interfaces in different areas for disabled and non-disabled people...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268486/identifying-stereotypic-evolving-micro-scale-seizures-sems-in-the-hypoxic-ischemic-eeg-of-the-pre-term-fetal-sheep-with-a-wavelet-type-ii-fuzzy-classifier
#20
Hamid Abbasi, Laura Bennet, Alistair J Gunn, Charles P Unsworth
Perinatal hypoxic-ischemic encephalopathy (HIE) around the time of birth due to lack of oxygen can lead to debilitating neurological conditions such as epilepsy and cerebral palsy. Experimental data have shown that brain injury evolves over time, but during the first 6-8 hours after HIE the brain has recovered oxidative metabolism in a latent phase, and brain injury is reversible. Treatments such as therapeutic cerebral hypothermia (brain cooling) are effective when started during the latent phase, and continued for several days...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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