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Fuzzy logic

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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
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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/active-fault-tolerant-control-based-on-interval-type-2-fuzzy-sliding-mode-controller-and-non-linear-adaptive-observer-for-3-dof-laboratory-helicopter
#7
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/28603451/classifying-human-activity-patterns-from-smartphone-collected-gps-data-a-fuzzy-classification-and-aggregation-approach
#8
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
#9
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
https://www.readbyqxmd.com/read/28560191/application-of-fuzzy-logic-in-oral-cancer-risk-assessment
#10
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/28552183/modeling-of-the-ecological-niches-of-the-anopheles-spp-in-ecuador-by-the-use-of-geo-informatic-tools
#11
Oswaldo Padilla, Pablo Rosas, Wilson Moreno, Theofilos Toulkeridis
Ecuador in the northwestern edge of South America is struggling by vector-borne diseases with an endemic-epidemic behavior leading to an enormous public health problem. Malaria, which has a cyclicality in its dynamics, is closely related to climatic, ecological and socio-economic phenomena. The main objective of this research has been to compare three different prediction species models, the so-called Maxent, logistic regression and multi criteria evaluation with fuzzy logic, in order to determine the model which best describes the ecological niche of the Anopheles spp species, which transmits malaria within Ecuador...
June 2017: Spatial and Spatio-temporal Epidemiology
https://www.readbyqxmd.com/read/28543961/automated-low-contrast-pattern-recognition-algorithm-for-magnetic-resonance-image-quality-assessment
#12
Morgan Ehman, Zhonghao Bao, Scott A Stiving, Mallik Kasam, Dianna Lanners, Teresa Peterson, Renee Jonsgaard, Rickey Carter, Kiaran P McGee
PURPOSE: Low contrast (LC) detectability is a common test criterion for diagnostic radiologic quality control (QC) programs. Automation of this test is desirable in order to reduce human variability and to speed up analysis. However, automation is challenging due to the complexity of the human visual perception system and the ability to create algorithms that mimic this response. This paper describes the development and testing of an automated LC detection algorithm for use in the analysis of magnetic resonance (MR) images of the American College of Radiology (ACR) QC phantom...
May 24, 2017: Medical Physics
https://www.readbyqxmd.com/read/28534804/fuzzy-adaptive-decentralized-optimal-control-for-strict-feedback-nonlinear-large-scale-systems
#13
Kangkang Sun, Shuai Sui, Shaocheng Tong
This paper considers the optimal decentralized fuzzy adaptive control design problem for a class of interconnected large-scale nonlinear systems in strict feedback form and with unknown nonlinear functions. The fuzzy logic systems are introduced to learn the unknown dynamics and cost functions, respectively, and a state estimator is developed. By applying the state estimator and the backstepping recursive design algorithm, a decentralized feedforward controller is established. By using the backstepping decentralized feedforward control scheme, the considered interconnected large-scale nonlinear system in strict feedback form is changed into an equivalent affine large-scale nonlinear system...
May 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28531644/safety-evaluation-of-driver-cognitive-failures-and-driving-errors-on-right-turn-filtering-movement-at-signalized-road-intersections-based-on-fuzzy-cellular-automata-fca-model
#14
Chen Chai, Yiik Diew Wong, Xuesong Wang
This paper proposes a simulation-based approach to estimate safety impact of driver cognitive failures and driving errors. Fuzzy Logic, which involves linguistic terms and uncertainty, is incorporated with Cellular Automata model to simulate decision-making process of right-turn filtering movement at signalized intersections. Simulation experiments are conducted to estimate the relationships between cognitive failures and driving errors with safety performance. Simulation results show Different types of cognitive failures are found to have varied relationship with driving errors and safety performance...
July 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/28511067/a-fuzzy-logic-based-tool-to-assess-beef-cattle-ranching-sustainability-in-complex-environmental-systems
#15
Sandra A Santos, Helano Póvoas de Lima, Silvia M F S Massruhá, Urbano G P de Abreu, Walfrido M Tomás, Suzana M Salis, Evaldo L Cardoso, Márcia Divina de Oliveira, Márcia Toffani S Soares, Antônio Dos Santos, Luiz Orcírio F de Oliveira, Débora F Calheiros, Sandra M A Crispim, Balbina M A Soriano, Christiane O G Amâncio, Alessandro Pacheco Nunes, Luiz Alberto Pellegrin
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. In order to assess the sustainability of beef ranching in complex and uncertain tropical environment systems this paper describes a decision support system based on fuzzy rule-approach, the Sustainable Pantanal Ranch (SPR). This tool was built by a set of measurements and indicators integrated by fuzzy logic to evaluate the attributes of the three dimensions of sustainability...
May 13, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28506863/the-null-test-for-peptide-identification-algorithm-in-shotgun-proteomics
#16
Shu-Rong Zhang, Yi-Chu Shan, Hao Jiang, Jian-Hui Liu, Yuan Zhou, Li-Hua Zhang, Yu-Kui Zhang
The present research proposed general evaluation strategy named Null-Test for peptide identification algorithm in Shotgun proteomics. The Null-Test method based on random matching can be utilized to check whether the algorithm has a tendency to make a mistake or has potential bugs, faultiness, errors etc., and to validate the reliability of the identification algorithm. Unfortunately, none of the five famous identification software could pass the most stringent Null-Test. PatternLab had good performance in both Null-Test and routine search by making a good control on the overfitting with sound design...
May 12, 2017: Journal of Proteomics
https://www.readbyqxmd.com/read/28494999/modeling-and-control-of-operator-functional-state-in-a-unified-framework-of-fuzzy-inference-petri-nets
#17
Jian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, Petros P Groumpos, Ru-Bin Wang
BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must be dynamically allocated in accordance with continuous-time fluctuation of psychophysiological functional status of the operator, so-called operator functional state (OFS). The behavior of the HM system is hybrid in nature due to the co-existence of discrete task-load (control) variable and continuous operator performance (system output) variable...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28479570/decision-support-systems-in-cardiology-a-systematic-review
#18
Aleksey Dudchenko, Georgy Kopanitsa
The aim of this work was to identify the most common approaches used in the intelligent decision support systems employed in the diagnosis of cardiovascular diseases and identify accuracy of these systems. Forty-one relevant publications were included in the review using Scopus and Web of Science. Knowledge base and fuzzy logic and ANN is the most commonly used approach to diagnosis and prediction. The accuracy of the considered systems reaches 98%.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28479545/information-system-of-personalized-patient-s-adherence-level-determination
#19
Maksim Taranik, Georgy Kopanitsa
The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated approach based on the comparison of direct patient's data with personalized treatment plan using fuzzy logic and standard ISO 13606. On the current step, we process only manually submitted data. For the next step we are going to introduce sensor devices for the purposes of personalized patients' adherence determination...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28471387/a-probabilistic-and-highly-efficient-topology-control-algorithm-for-underwater-cooperating-auv-networks
#20
Ning Li, Baran Cürüklü, Joaquim Bastos, Victor Sucasas, Jose Antonio Sanchez Fernandez, Jonathan Rodriguez
The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful. To achieve cooperation and communication between different AUVs, these must be able to exchange messages, so an efficient and reliable communication network is necessary for SWARMs. In order to provide an efficient and reliable communication network for mission execution, one of the important and necessary issues is the topology control of the network of AUVs that are cooperating underwater...
May 4, 2017: Sensors
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