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Fuzzy systems

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https://www.readbyqxmd.com/read/29236065/performance-analysis-of-cluster-formation-in-wireless-sensor-networks
#1
Edgar Romo Montiel, Mario E Rivero-Angeles, Gerardo Rubino, Heron Molina-Lozano, Rolando Menchaca-Mendez, Ricardo Menchaca-Mendez
Clustered-based wireless sensor networks have been extensively used in the literature in order to achieve considerable energy consumption reductions. However, two aspects of such systems have been largely overlooked. Namely, the transmission probability used during the cluster formation phase and the way in which cluster heads are selected. Both of these issues have an important impact on the performance of the system. For the former, it is common to consider that sensor nodes in a clustered-based Wireless Sensor Network (WSN) use a fixed transmission probability to send control data in order to build the clusters...
December 13, 2017: Sensors
https://www.readbyqxmd.com/read/29227961/global-exponential-stability-and-lag-synchronization-for-delayed-memristive-fuzzy-cohen-grossberg-bam-neural-networks-with-impulses
#2
Wengui Yang, Wenwu Yu, Jinde Cao, Fuad E Alsaadi, Tasawar Hayat
This paper investigates the stability and lag synchronization for memristor-based fuzzy Cohen-Grossberg bidirectional associative memory (BAM) neural networks with mixed delays (asynchronous time delays and continuously distributed delays) and impulses. By applying the inequality analysis technique, homeomorphism theory and some suitable Lyapunov-Krasovskii functionals, some new sufficient conditions for the uniqueness and global exponential stability of equilibrium point are established. Furthermore, we obtain several sufficient criteria concerning globally exponential lag synchronization for the proposed system based on the framework of Filippov solution, differential inclusion theory and control theory...
November 23, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29220351/driver-fatigue-detection-through-multiple-entropy-fusion-analysis-in-an-eeg-based-system
#3
Jianliang Min, Ping Wang, Jianfeng Hu
Driver fatigue is an important contributor to road accidents, and fatigue detection has major implications for transportation safety. The aim of this research is to analyze the multiple entropy fusion method and evaluate several channel regions to effectively detect a driver's fatigue state based on electroencephalogram (EEG) records. First, we fused multiple entropies, i.e., spectral entropy, approximate entropy, sample entropy and fuzzy entropy, as features compared with autoregressive (AR) modeling by four classifiers...
2017: PloS One
https://www.readbyqxmd.com/read/29215752/familial-tauopathy-with-p364s-mapt-mutation-clinical-course-neuropathology-and-ultrastructure-of-neuronal-tau-inclusions
#4
Peter Štrafela, Jerica Pleško, Jožef Magdič, Blaž Koritnik, Andrej Zupan, Damjan Glavač, Mara Bresjanac, Mara Popović
AIMS: This report presents the clinical course, neuropathology and ultrastructure of neuronal tau inclusions of four Slovene relatives with P364S MAPT mutation. METHODS: The clinical history of three out of four P364S MAPT mutation carriers was taken. After formalin fixation, thorough sampling of the central nervous system was followed by paraffin embedding, H&E, Gallyas, Bielschowsky, and immunostaining with AT8, anti-3R, anti-4R tau, anti-Amyloid-β, anti-TDP43, and anti-alpha-synuclein antibodies...
December 7, 2017: Neuropathology and Applied Neurobiology
https://www.readbyqxmd.com/read/29206866/an-adaptive-map-matching-algorithm-based-on-hierarchical-fuzzy-system-from-vehicular-gps-data
#5
Jinjun Tang, Shen Zhang, Yajie Zou, Fang Liu
An improved hierarchical fuzzy inference method based on C-measure map-matching algorithm is proposed in this paper, in which the C-measure represents the certainty or probability of the vehicle traveling on the actual road. A strategy is firstly introduced to use historical positioning information to employ curve-curve matching between vehicle trajectories and shapes of candidate roads. It improves matching performance by overcoming the disadvantage of traditional map-matching algorithm only considering current information...
2017: PloS One
https://www.readbyqxmd.com/read/29181235/systematic-review-of-data-mining-applications-in-patient-centered-mobile-based-information-systems
#6
Mina Fallah, Sharareh R Niakan Kalhori
Objectives: Smartphones represent a promising technology for patient-centered healthcare. It is claimed that data mining techniques have improved mobile apps to address patients' needs at subgroup and individual levels. This study reviewed the current literature regarding data mining applications in patient-centered mobile-based information systems. Methods: We systematically searched PubMed, Scopus, and Web of Science for original studies reported from 2014 to 2016...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29167775/a-model-for-the-development-of-hospital-beds-using-fuzzy-analytical-hierarchy-process-fuzzy-ahp
#7
Ramin Ravangard, Mohammadkarim Bahadori, Mehdi Raadabadi, Ehsan Teymourzadeh, Khalil Alimomohammadzadeh, Fardin Mehrabian
Background: This study aimed to identify and prioritize factors affecting the development of military hospital beds and provide a model using fuzzy analytical hierarchy process (Fuzzy AHP). Methods: This applied study was conducted in 2016 in Iran using a mixed method. The sample included experts in the field of military health care system. The MAXQDA 10.0 and Expert Choice 10.0 software were used for analyzing the collected data. Results: Geographic situation, demographic status, economic status, health status, health care centers and organizations, financial and human resources, laws and regulations and by-laws, and the military nature of service recipients had effects on the development of military hospital beds...
November 2017: Iranian Journal of Public Health
https://www.readbyqxmd.com/read/29157873/quantized-filtering-for-t-s-fuzzy-networked-systems-with-saturation-nonlinearities-an-output-dependent-triggering-method
#8
Yushun Tan, Dongsheng Du, Shumin Fei
This paper addresses the problem of H∞ filter design for T-S fuzzy systems with saturation nonlinearities. For the purpose of reducing network burden, an output-dependent triggering scheme and a quantizer are introduced at the same time. The output-dependent triggering scheme is applied to determine whether or not the current instant information should be transmitted to the quantizer. Saturation nonlinearities, as a common phenomenon in networked systems due to the physical or technological constraints, is also considered here...
November 17, 2017: ISA Transactions
https://www.readbyqxmd.com/read/29157462/recognition-of-pigment-network-pattern-in-dermoscopy-images-based-on-fuzzy-classification-of-pixels
#9
Jose Luis Garcia-Arroyo, Begonya Garcia-Zapirain
BACKGROUND AND OBJECTIVE: One of the most relevant dermoscopic patterns is the pigment network. An innovative method of pattern recognition is presented for its detection in dermoscopy images. METHODS: It consists of two steps. In the first one, by means of a supervised machine learning process and after performing the extraction of different colour and texture features, a fuzzy classification of pixels into the three categories present in the pattern's definition ("net", "hole" and "other") is carried out...
January 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29154897/identification-of-ghost-artifact-using-texture-analysis-in-pediatric-spinal-cord-diffusion-tensor-images
#10
Mahdi Alizadeh, Chris J Conklin, Devon M Middleton, Pallav Shah, Sona Saksena, Laura Krisa, Jürgen Finsterbusch, Scott H Faro, M J Mulcahey, Feroze B Mohamed
PURPOSE: Ghost artifacts are a major contributor to degradation of spinal cord diffusion tensor images. A multi-stage post-processing pipeline was designed, implemented and validated to automatically remove ghost artifacts arising from reduced field of view diffusion tensor imaging (DTI) of the pediatric spinal cord. METHOD: A total of 12 pediatric subjects including 7 healthy subjects (mean age=11.34years) with no evidence of spinal cord injury or pathology and 5 patients (mean age=10...
November 15, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/29143764/road-lane-detection-robust-to-shadows-based-on-a-fuzzy-system-using-a-visible-light-camera-sensor
#11
Toan Minh Hoang, Na Rae Baek, Se Woon Cho, Ki Wan Kim, Kang Ryoung Park
Recently, autonomous vehicles, particularly self-driving cars, have received significant attention owing to rapid advancements in sensor and computation technologies. In addition to traffic sign recognition, road lane detection is one of the most important factors used in lane departure warning systems and autonomous vehicles for maintaining the safety of semi-autonomous and fully autonomous systems. Unlike traffic signs, road lanes are easily damaged by both internal and external factors such as road quality, occlusion (traffic on the road), weather conditions, and illumination (shadows from objects such as cars, trees, and buildings)...
October 28, 2017: Sensors
https://www.readbyqxmd.com/read/29121541/development-of-a-reinforcement-learning-based-evolutionary-fuzzy-rule-based-system-for-diabetes-diagnosis
#12
Fatemeh Mansourypoor, Shahrokh Asadi
The early diagnosis of disease is critical to preventing the occurrence of severe complications. Diabetes is a serious health problem. A variety of methods have been developed for diagnosing diabetes. The majority of these methods have been developed in a black-box manner, which cannot be used to explain the inference and diagnosis procedure. Therefore, it is essential to develop methods with high accuracy and interpretability. In this study, a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System (RLEFRBS) is developed for diabetes diagnosis...
October 31, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29110111/forest-fire-risk-assessment-an-integrated-approach-based-on-multicriteria-evaluation
#13
Elham Goleiji, Seyed Mohsen Hosseini, Nematollah Khorasani, Seyed Masoud Monavari
The present study deals with application of the weighted linear combination method for zoning of forest fire risk in Dohezar and Sehezar region of Mazandaran province in northern Iran. In this study, the effective criteria for fires were identified by the Delphi method, and these included ecological and socioeconomic parameters. In this regard, the first step comprised of digital layers; the required data were provided from databases, related centers, and field data collected in the region. Then, the map of criteria was digitized in a geographic information system, and all criteria and indexes were normalized by fuzzy logic...
November 6, 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/29108458/a-fuzzy-logic-based-warning-system-for-patients-classification
#14
Jumanah A Al-Dmour, Assim Sagahyroon, A R Al-Ali, Salah Abusnana
Typically acute deterioration in sick people is preceded by subtle changes in the physiological parameters such as pulse and blood pressure. The Modified Early Warning Score is a scoring system developed to assist hospital staff in gauging these physiological changes and identifying patients in need of urgent medical care to avoid catastrophic deterioration. This work discusses the design and implementation of an equivalent warning system that utilizes fuzzy logic techniques to categorize patients' status. The system is implemented and tested in Rashid Centre for Diabetes and Research in UAE...
November 1, 2017: Health Informatics Journal
https://www.readbyqxmd.com/read/29106913/tractional-abnormalities-of-the-central-foveal-bouquet-in-epiretinal-membranes-clinical-spectrum-and-pathophysiological-perspectives
#15
Andrea Govetto, Kavita V Bhavsar, Gianni Virgili, Matthew J Gerber, K Bailey Freund, Christine A Curcio, Claude F Burgoyne, Jean-Pierre Hubschman, David Sarraf
PURPOSE: To investigate the tractional alterations of the central bouquet (CB) in idiopathic epiretinal membranes (ERMs). DESIGN: Retrospective, consecutive, observational case series. METHODS: ERMs were classified according to a 4-stage grading system. The CB was defined as a circular area of approximately 100 μm composed of densely packed cones (and Müller cells) in the central fovea. Tractional abnormalities of the CB were identified with spectral-domain optical coherence tomography...
October 26, 2017: American Journal of Ophthalmology
https://www.readbyqxmd.com/read/29103115/perspectives-on-impacts-of-water-quality-on-agriculture-and-community-well-being-a-key-informant-study-from-sri-lanka
#16
Bhadranie Thoradeniya, Uthpala Pinto, Basant Maheshwari
Integrated management of water quality is critical for sustaining food production and achieving overall well-being of a community. Further, understanding people's perceptions and engagement can play an important role in achieving water and food security. The main aim of this study was to investigate the perspectives of community and other stakeholders as to how water quality impacts on agriculture, livelihood and community well-being within rural farming communities of two dry zone districts of Sri Lanka. The study adopted 'key informant interviews' as the methodology to investigate community and other stakeholder perspectives to collect primary data over a period of four months...
November 4, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/29096993/nonlinear-dynamic-systems-identification-using-recurrent-interval-type-2-tsk-fuzzy-neural-network-a-novel-structure
#17
Ahmad M El-Nagar
In this study, a novel structure of a recurrent interval type-2 Takagi-Sugeno-Kang (TSK) fuzzy neural network (FNN) is introduced for nonlinear dynamic and time-varying systems identification. It combines the type-2 fuzzy sets (T2FSs) and a recurrent FNN to avoid the data uncertainties. The fuzzy firing strengths in the proposed structure are returned to the network input as internal variables. The interval type-2 fuzzy sets (IT2FSs) is used to describe the antecedent part for each rule while the consequent part is a TSK-type, which is a linear function of the internal variables and the external inputs with interval weights...
October 31, 2017: ISA Transactions
https://www.readbyqxmd.com/read/29083952/a-software-sensor-model-based-on-hybrid-fuzzy-neural-network-for-rapid-estimation-water-quality-in-guangzhou-section-of-pearl-river-china
#18
Chunshan Zhou, Chao Zhang, Di Tian, Ke Wang, Mingzhi Huang, Yanbiao Liu
In order to manage water resources, a software sensor model was designed to estimate water quality using a hybrid fuzzy neural network (FNN) in Guangzhou section of Pearl River, China. The software sensor system was composed of data storage module, fuzzy decision-making module, neural network module and fuzzy reasoning generator module. Fuzzy subtractive clustering was employed to capture the character of model, and optimize network architecture for enhancing network performance. The results indicate that, on basis of available on-line measured variables, the software sensor model can accurately predict water quality according to the relationship between chemical oxygen demand (COD) and dissolved oxygen (DO), pH and NH4(+)-N...
October 30, 2017: Journal of Environmental Science and Health. Part A, Toxic/hazardous Substances & Environmental Engineering
https://www.readbyqxmd.com/read/29077737/a-medical-imaging-analysis-system-for-trigger-finger-using-an-adaptive-texture-based-active-shape-model-atasm-in-ultrasound-images
#19
Bo-I Chuang, Li-Chieh Kuo, Tai-Hua Yang, Fong-Chin Su, I-Ming Jou, Wei-Jr Lin, Yung-Nien Sun
Trigger finger has become a prevalent disease that greatly affects occupational activity and daily life. Ultrasound imaging is commonly used for the clinical diagnosis of trigger finger severity. Due to image property variations, traditional methods cannot effectively segment the finger joint's tendon structure. In this study, an adaptive texture-based active shape model method is used for segmenting the tendon and synovial sheath. Adapted weights are applied in the segmentation process to adjust the contribution of energy terms depending on image characteristics at different positions...
2017: PloS One
https://www.readbyqxmd.com/read/29074239/flood-susceptibility-assessment-in-hengfeng-area-coupling-adaptive-neuro-fuzzy-inference-system-with-genetic-algorithm-and-differential-evolution
#20
Haoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, Tianwu Ma, Junzhi Liu, A-Xing Zhu, Wei Chen, Ioannis Kougias, Nerantzis Kazakis
Floods are among Earth's most common natural hazards, and they cause major economic losses and seriously affect peoples' lives and health. This paper addresses the development of a flood susceptibility assessment that uses intelligent techniques and GIS. An adaptive neuro-fuzzy inference system (ANFIS) was coupled with a genetic algorithm and differential evolution for flood spatial modelling. The model considers thirteen hydrologic, morphologic and lithologic parameters for the flood susceptibility assessment, and Hengfeng County in China was chosen for the application of the model due to data availability and the 195 total flood events...
October 23, 2017: Science of the Total Environment
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