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https://www.readbyqxmd.com/read/28919287/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...
September 14, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28919286/a-novel-optimized-hybrid-fuzzy-logic-intelligent-pid-controller-for-an-interconnected-multi-area-power-system-with-physical-constraints-and-boiler-dynamics
#2
A H Gomaa Haroun, Yin-Ya Li
In the fast developing world nowadays, load frequency control (LFC) is considered to be a most significant role for providing the power supply with good quality in the power system. To deliver a reliable power, LFC system requires highly competent and intelligent control technique. Hence, in this article, a novel hybrid fuzzy logic intelligent proportional-integral-derivative (FLiPID) controller has been proposed for LFC of interconnected multi-area power systems. A four-area interconnected thermal power system incorporated with physical constraints and boiler dynamics is considered and the adjustable parameters of the FLiPID controller are optimized using particle swarm optimization (PSO) scheme employing an integral square error (ISE) criterion...
September 14, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28880161/unsupervised-segmentation-of-5d-hyperpolarized-carbon-13-mri-data-using-a-fuzzy-markov-random-field-model
#3
Ferdia A Gallagher, Charlie J Daniels
Hyperpolarized MRI with ¹³C-labelled compounds is an emerging clinical technique allowing in vivo metabolic processes to be characterized non-invasively. Accurate quantification of ¹³C data, both for clinical and research purposes, typically relies on the use of region-of-interest analysis to detect and compare regions of altered metabolism. However, it is not clear how this should be determined from the five-dimensional data produced and most standard methodologies are unable to exploit the multidimensional nature of the data...
September 4, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28873828/fuzzy-logic-to-determine-the-likelihood-of-survival-for-trauma-injury-patients
#4
Mohammed Saleh, Reza Saatchi, Fiona Lecky, Derek Burke
A system to determine the likelihood of survival for trauma injury patients is being developed. It uses a fuzzy logic approach that can model complex processes without reliance on sophisticated mathematical formulations and may have the potential to be more accurate than the existing approaches. The outline operation of the system that is currently in a prototype stage is described.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28837120/fuzzy-modelling-for-human-dynamics-based-on-online-social-networks
#5
Jesus Cuenca-Jara, Fernando Terroso-Saenz, Mercedes Valdes-Vela, Antonio F Skarmeta
Human mobility mining has attracted a lot of attention in the research community due to its multiple implications in the provisioning of innovative services for large metropolises. In this scope, Online Social Networks (OSN) have arisen as a promising source of location data to come up with new mobility models. However, the human nature of this data makes it rather noisy and inaccurate. In order to deal with such limitations, the present work introduces a framework for human mobility mining based on fuzzy logic...
August 24, 2017: Sensors
https://www.readbyqxmd.com/read/28821993/segmentation-of-breast-ultrasound-images-based-on-active-contours-using-neutrosophic-theory
#6
Mahsa Lotfollahi, Masoumeh Gity, Jing Yong Ye, A Mahlooji Far
PURPOSE: Ultrasound imaging is an effective approach for diagnosing breast cancer, but it is highly operator-dependent. Recent advances in computer-aided diagnosis have suggested that it can assist physicians in diagnosis. Definition of the region of interest before computer analysis is still needed. Since manual outlining of the tumor contour is tedious and time-consuming for a physician, developing an automatic segmentation method is important for clinical application. METHODS: The present paper represents a novel method to segment breast ultrasound images...
August 18, 2017: Journal of Medical Ultrasonics
https://www.readbyqxmd.com/read/28820451/dynamic-fuzzy-logic-based-path-planning-for-mobility-assisted-localization-in-wireless-sensor-networks
#7
Abdullah Alomari, William Phillips, Nauman Aslam, Frank Comeau
Mobile anchor path planning techniques have provided as an alternative option for node localization in wireless sensor networks (WSNs). In such context, path planning is a movement pattern where a mobile anchor node's movement is designed in order to achieve a maximum localization ratio possible with a minimum error rate. Typically, the mobility path planning is designed in advance, which is applicable when the mobile anchor has sufficient sources of energy and time. However, when the mobility movement is restricted or limited, a dynamic path planning design is needed...
August 18, 2017: Sensors
https://www.readbyqxmd.com/read/28806754/short-term-prediction-of-solar-energy-in-saudi-arabia-using-automated-design-fuzzy-logic-systems
#8
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/28801078/on-position-force-tracking-control-problem-of-cooperative-robot-manipulators-using-adaptive-fuzzy-backstepping-approach
#9
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/28766105/the-development-of-a-novel-knowledge-based-weaning-algorithm-using-pulmonary-parameters-a-simulation-study
#10
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
#11
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/28735210/moisture-content-prediction-in-poultry-litter-using-artificial-intelligence-techniques-and-monte-carlo-simulation-to-determine-the-economic-yield-from-energy-use
#12
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/28698498/polar-grid-navigation-algorithm-for-unmanned-underwater-vehicles
#13
Zheping Yan, Lu Wang, Wei Zhang, Jiajia Zhou, Man Wang
To solve the unavailability of a traditional strapdown inertial navigation system (SINS) for unmanned underwater vehicles (UUVs) in the polar region, a polar grid navigation algorithm for UUVs is proposed in this paper. Precise navigation is the basis for UUVs to complete missions. The rapid convergence of Earth meridians and the serious polar environment make it difficult to establish the true heading of the UUV at a particular instant. Traditional SINS and traditional representation of position are not suitable in the polar region...
July 9, 2017: Sensors
https://www.readbyqxmd.com/read/28689131/a-novel-fuzzy-logic-control-strategy-minimizing-n2o-emissions
#14
Riccardo Boiocchi, Krist V Gernaey, Gürkan Sin
A novel control strategy for achieving low N2O emissions and low effluent NH4(+) concentration is here proposed. The control strategy uses the measurements of ammonium and nitrate concentrations in inlet and outlet of the aerobic zone of a wastewater treatment plant to calculate a ratio indicating the balance among the microbial groups. More specifically, the ratio will indicate if there is a complete nitrification. In case nitrification is not complete, the controller will adjust the aeration level of the plant in order to inhibit the production of N2O from AOB and HB denitrification...
June 27, 2017: Water Research
https://www.readbyqxmd.com/read/28671641/fuzzy-logic-based-distributed-energy-efficient-clustering-algorithm-for-wireless-sensor-networks
#15
Ying Zhang, Jun Wang, Dezhi Han, Huafeng Wu, Rundong Zhou
Due to the high-energy efficiency and scalability, the clustering routing algorithm has been widely used in wireless sensor networks (WSNs). In order to gather information more efficiently, each sensor node transmits data to its Cluster Head (CH) to which it belongs, by multi-hop communication. However, the multi-hop communication in the cluster brings the problem of excessive energy consumption of the relay nodes which are closer to the CH. These nodes' energy will be consumed more quickly than the farther nodes, which brings the negative influence on load balance for the whole networks...
July 3, 2017: Sensors
https://www.readbyqxmd.com/read/28663702/a-novel-gis-based-approach-to-assess-beekeeping-suitability-of-mediterranean-lands
#16
Paolo Zoccali, Antonino Malacrinò, Orlando Campolo, Francesca Laudani, Giuseppe M Algeri, Giulia Giunti, Cinzia P Strano, Giovanni Benelli, Vincenzo Palmeri
Honeybees are critically important for the environment and to the economy. However, there are in substantial decline worldwide, leading to serious threat to the stability and yield of food crops. Beekeeping is of pivotal importance, combining the wide economical aspect of honey production and the important ecological services provided by honeybees. In this scenario, the prompt identification of beekeeping areas is strategic, since it maximised productivity and lowered the risks of colony losses. Fuzzy logic is an ideal approach for problem-solving tasks, as it is specifically designed to manage problems with a high degree of uncertainty...
July 2017: Saudi Journal of Biological Sciences
https://www.readbyqxmd.com/read/28658366/fuzzy-model-to-estimate-the-number-of-hospitalizations-for-asthma-and-pneumonia-under-the-effects-of-air-pollution
#17
Luciano Eustáquio Chaves, Luiz Fernando Costa Nascimento, Paloma Maria Silva Rocha Rizol
OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State. METHODS: This is a computational model using fuzzy logic based on Mamdani's inference method. For the fuzzification of the input variables of particulate matter, ozone, sulfur dioxide and apparent temperature, we considered two relevancy functions for each variable with the linguistic approach: good and bad...
June 22, 2017: Revista de Saúde Pública
https://www.readbyqxmd.com/read/28648252/temporary-removal-active-fault-tolerant-control-based-on-interval-type-2-fuzzy-sliding-mode-controller-and-non-linear-adaptive-observer-for-3-dof-laboratory-helicopter
#18
Samir Zeghlache, Tarak Benslimane, Abderrahmen Bouguerra
No abstract text is available yet for this article.
June 27, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28603451/classifying-human-activity-patterns-from-smartphone-collected-gps-data-a-fuzzy-classification-and-aggregation-approach
#19
Neng Wan, Ge Lin
Smartphones have emerged as a promising type of equipment for monitoring human activities in environmental health studies. However, degraded location accuracy and inconsistency of smartphone-measured GPS data have limited its effectiveness for classifying human activity patterns. This study proposes a fuzzy classification scheme for differentiating human activity patterns from smartphone-collected GPS data. Specifically, a fuzzy logic reasoning was adopted to overcome the influence of location uncertainty by estimating the probability of different activity types for single GPS points...
December 2016: Transactions in GIS: TG
https://www.readbyqxmd.com/read/28599646/agility-assessment-using-fuzzy-logic-approach-a-case-of-healthcare-dispensary
#20
M Suresh, Rojalin Patri
BACKGROUND: Agile concepts are not only beneficial for manufacturing sector but also for service sector such as healthcare. However, assessment of agility has been predominantly done in manufacturing enterprises. This study demonstrates a means to measure agility of a healthcare organization by assessing agility of a university dispensary. Its contribution to the knowledge base is twofold. First, it proposes a means to measure the agility of a healthcare organization and second, it identifies the attributes that prevent agile performance and outlines the suggestive measure to enhance its agile capabilities...
June 9, 2017: BMC Health Services Research
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