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https://www.readbyqxmd.com/read/28324254/pilot-testing-model-to-uncover-industrial-symbiosis-in-brazilian-industrial-clusters
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
https://www.readbyqxmd.com/read/28265453/automated-closed-loop-resuscitation-of-multiple-hemorrhages-a-comparison-between-fuzzy-logic-and-decision-table-controllers-in-a-sheep-model
#7
Nicole Ribeiro Marques, Brent J Ford, Muzna N Khan, Michael Kinsky, Donald J Deyo, William J Mileski, Hao Ying, George C Kramer
BACKGROUND: Hemorrhagic shock is the leading cause of trauma-related death in the military setting. Definitive surgical treatment of a combat casualty can be delayed and life-saving fluid resuscitation might be necessary in the field. Therefore, improved resuscitation strategies are critically needed for prolonged field and en route care. We developed an automated closed-loop control system capable of titrating fluid infusion to a target endpoint. We used the system to compare the performance of a decision table algorithm (DT) and a fuzzy logic controller (FL) to rescue and maintain the mean arterial pressure (MAP) at a target level during hemorrhages...
2017: Disaster Mil Med
https://www.readbyqxmd.com/read/28237845/fuzzy-logic-applied-to-prospecting-for-areas-for-installation-of-wood-panel-industries
#8
Alexandre Rosa Dos Santos, Ewerthon Mattos Paterlini, Nilton Cesar Fiedler, Carlos Antonio Alvares Soares Ribeiro, Alexandre Simões Lorenzon, Getulio Fonseca Domingues, Gustavo Eduardo Marcatti, Nero Lemos Martins de Castro, Thaisa Ribeiro Teixeira, Gleissy Mary Amaral Dino Alves Dos Santos, Ronie Silva Juvanhol, Elvis Ricardo Figueira Branco, Pedro Henrique Santos Mota, Lilianne Gomes da Silva, Daiani Bernardo Pirovani, Waldir Cintra de Jesus, Ana Carolina de Albuquerque Santos, Helio Garcia Leite, Setsuo Iwakiri
Prospecting for suitable areas for forestry operations, where the objective is a reduction in production and transportation costs, as well as the maximization of profits and available resources, constitutes an optimization problem. However, fuzzy logic is an alternative method for solving this problem. In the context of prospecting for suitable areas for the installation of wood panel industries, we propose applying fuzzy logic analysis for simulating the planting of different species and eucalyptus hybrids in Espírito Santo State, Brazil...
May 15, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28227535/skills-based-evaluation-of-alternative-input-methods-to-command-a-semi-autonomous-electric-wheelchair
#9
Mario Rojas, Pedro Ponce, Arturo Molina, Mario Rojas, Pedro Ponce, Arturo Molina, Pedro Ponce, Mario Rojas, 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/28226660/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
#10
Hamid Abbasi, Laura Bennet, Alistair J Gunn, Charles P Unsworth, Hamid Abbasi, Laura Bennet, Alistair J Gunn, Charles P Unsworth, Charles P Unsworth, Laura Bennet, Hamid Abbasi, Alistair J Gunn
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
https://www.readbyqxmd.com/read/28209428/an-artificial-intelligence-based-improved-classification-of-two-phase-flow-patterns-with-feature-extracted-from-acquired-images
#11
C Shanthi, N Pappa
Flow pattern recognition is necessary to select design equations for finding operating details of the process and to perform computational simulations. Visual image processing can be used to automate the interpretation of patterns in two-phase flow. In this paper, an attempt has been made to improve the classification accuracy of the flow pattern of gas/ liquid two- phase flow using fuzzy logic and Support Vector Machine (SVM) with Principal Component Analysis (PCA). The videos of six different types of flow patterns namely, annular flow, bubble flow, churn flow, plug flow, slug flow and stratified flow are recorded for a period and converted to 2D images for processing...
February 13, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28208631/a-novel-strain-based-method-to-estimate-tire-conditions-using-fuzzy-logic-for-intelligent-tires
#12
Daniel Garcia-Pozuelo, Oluremi Olatunbosun, Jorge Yunta, Xiaoguang Yang, Vicente Diaz
The so-called intelligent tires are one of the most promising research fields for automotive engineers. These tires are equipped with sensors which provide information about vehicle dynamics. Up to now, the commercial intelligent tires only provide information about inflation pressure and their contribution to stability control systems is currently very limited. Nowadays one of the major problems for intelligent tire development is how to embed feasible and low cost sensors to obtain reliable information such as inflation pressure, vertical load or rolling speed...
February 10, 2017: Sensors
https://www.readbyqxmd.com/read/28194673/assessment-of-groundwater-vulnerability-using-supervised-committee-to-combine-fuzzy-logic-models
#13
Ata Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, Asghar Asghari Moghaddam
Vulnerability indices of an aquifer assessed by different fuzzy logic (FL) models often give rise to differing values with no theoretical or empirical basis to establish a validated baseline or to develop a comparison basis between the modeling results and baselines, if any. Therefore, this research presents a supervised committee fuzzy logic (SCFL) method, which uses artificial neural networks to overarch and combine a selection of FL models. The indices are expressed by the widely used DRASTIC framework, which include geological, hydrological, and hydrogeological parameters often subject to uncertainty...
February 13, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28160385/processing-binary-and-fuzzy-logic-by-chaotic-time-series-generated-by-a-hydrodynamic-photochemical-oscillator
#14
Pier Luigi Gentili, Maria Sole Giubila, B Mark Heron
This work demonstrates the computational power of a hydrodynamic photochemical oscillator based on a photochromic naphthopyran, generating aperiodic time series. The chaotic character of the time series is tested by calculating its largest Lyapunov exponent and the correlation dimension of its attractor after building its phase space through the Takens' theorem. Then, the chaotic dynamic is shown to be suitable to implement all the fundamental Boolean two-inputs-one-output logic gates. Finally, the strategy to implement Fuzzy logic systems (FLSs) based on the time series is described...
February 3, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28120889/a-new-efficient-hybrid-intelligent-model-for-biodegradation-process-of-dmp-with-fuzzy-wavelet-neural-networks
#15
Mingzhi Huang, Tao Zhang, Jujun Ruan, Xiaohong Chen
A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty capacity of fuzzy logic (FL), analyzing local details superiority of wavelet transform (WT) and global search of genetic algorithm (GA), the proposed hybrid intelligent model can extract the dynamic behavior and complex interrelationships from various water quality variables...
January 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28113536/evolutionary-fuzzy-block-matching-based-camera-raw-image-denoising
#16
Chin-Chang Yang, Shu-Mei Guo, Jason Sheng-Hong Tsai
An evolutionary fuzzy block-matching-based image denoising algorithm is proposed to remove noise from a camera raw image. Recently, a variance stabilization transform is widely used to stabilize the noise variance, so that a Gaussian denoising algorithm can be used to remove the signal-dependent noise in camera sensors. However, in the stabilized domain, the existed denoising algorithm may blur too much detail. To provide a better estimate of the noise-free signal, a new block-matching approach is proposed to find similar blocks by the use of a type-2 fuzzy logic system (FLS)...
October 3, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28110741/fractional-order-integration-and-fuzzy-logic-based-filter-for-denoising-of-echocardiographic-image
#17
Ayesha Saadia, Adnan Rashdi
BACKGROUND: Ultrasound is widely used for imaging due to its cost effectiveness and safety feature. However, ultrasound images are inherently corrupted with speckle noise which severely affects the quality of these images and create difficulty for physicians in diagnosis. To get maximum benefit from ultrasound imaging, image denoising is an essential requirement. METHOD: To perform image denoising, a two stage methodology using fuzzy weighted mean and fractional integration filter has been proposed in this research work...
December 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28110738/risk-analysis-of-lung-cancer-and-effects-of-stress-level-on-cancer-risk-through-neuro-fuzzy-model
#18
Atınç Yılmaz, Seçkin Arı, Ümit Kocabıçak
A significant number of people pass away due to limited medical resources for the battle with cancer. Fatal cases can be reduced by using the computational techniques in the medical and health system. If the cancer is diagnosed early, the chance of successful treatment increases. In this study, the risk of getting lung cancer will be obtained and patients will be provided with directions to exterminate the risk. After calculating the risk value for lung cancer, status of the patient's susceptibility and resistance to stress is used in determining the effects of stress to disease...
December 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28098822/application-of-fault-tree-analysis-and-fuzzy-neural-networks-to-fault-diagnosis-in-the-internet-of-things-iot-for-aquaculture
#19
Yingyi Chen, Zhumi Zhen, Huihui Yu, Jing Xu
In the Internet of Things (IoT) equipment used for aquaculture is often deployed in outdoor ponds located in remote areas. Faults occur frequently in these tough environments and the staff generally lack professional knowledge and pay a low degree of attention in these areas. Once faults happen, expert personnel must carry out maintenance outdoors. Therefore, this study presents an intelligent method for fault diagnosis based on fault tree analysis and a fuzzy neural network. In the proposed method, first, the fault tree presents a logic structure of fault symptoms and faults...
January 14, 2017: Sensors
https://www.readbyqxmd.com/read/28092498/adaptive-fuzzy-output-feedback-control-for-switched-nonlinear-systems-with-unmodeled-dynamics
#20
Shaocheng Tong, Yongming Li
This paper investigates a robust adaptive fuzzy control stabilization problem for a class of uncertain nonlinear systems with arbitrary switching signals that use an observer-based output feedback scheme. The considered switched nonlinear systems possess the unstructured uncertainties, unmodeled dynamics, and without requiring the states being available for measurement. A state observer which is independent of switching signals is designed to solve the problem of unmeasured states. Fuzzy logic systems are used to identify unknown lumped nonlinear functions so that the problem of unstructured uncertainties can be solved...
February 2017: IEEE Transactions on Cybernetics
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