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https://www.readbyqxmd.com/read/28432822/focal-liver-lesions-segmentation-and-classification-in-nonenhanced-t2-weighted-mri
#1
Ilias Gatos, Stavros Tsantis, Maria Karamesini, Stavros Spiliopoulos, Dimitris Karnabatidis, John D Hazle, George C Kagadis
PURPOSE: To automatically segment and classify focal liver lesions (FLLs) on nonenhanced T2-weighted magnetic resonance imaging (MRI) scans using a computer-aided diagnosis (CAD) algorithm. METHODS: 71 FLLs (30 benign lesions, 19 hepatocellular carcinomas, and 22 metastases) on T2-weighted MRI scans were delineated by the proposed CAD scheme. The FLL segmentation procedure involved wavelet multiscale analysis to extract accurate edge information and mean intensity values for consecutive edges computed using horizontal and vertical analysis that were fed into the subsequent fuzzy C-means algorithm for final FLL border extraction...
April 22, 2017: Medical Physics
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/28429195/computer-assisted-diagnosis-system-for-breast-cancer-in-computed-tomography-laser-mammography-ctlm
#3
Afsaneh Jalalian, Syamsiah Mashohor, Rozi Mahmud, Babak Karasfi, M Iqbal Saripan, Abdul Rahman Ramli
Computed tomography laser mammography (Eid et al. Egyp J Radiol Nucl Med, 37(1): p. 633-643, 1) is a non-invasive imaging modality for breast cancer diagnosis, which is time-consuming and challenging for the radiologist to interpret the images. Some issues have increased the missed diagnosis of radiologists in visual manner assessment in CTLM images, such as technical reasons which are related to imaging quality and human error due to the structural complexity in appearance. The purpose of this study is to develop a computer-aided diagnosis framework to enhance the performance of radiologist in the interpretation of CTLM images...
April 20, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28423766/dermatology-disease-prediction-based-on-two-step-cascade-genetic-algorithm-optimization-of-anfis-parameters
#4
Aja Avdagic, Lejla Begic Fazlic
The aim of this study is to present novel algorithms for prediction of dermatological disease using only dermatological clinical features and diagnoses collected in real conditions. A combination of the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Genetic algorithm (GA) for ANFIS subtractive clustering parameter optimization has been suggested for the first level of fuzzy model optimization. After that, a genetic optimized ANFIS fuzzy structure is used as input in GA for the second level of fuzzy model optimization...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28422700/adaptive-fuzzy-control-for-nonstrict-feedback-systems-with-unmodeled-dynamics-and-fuzzy-dead-zone-via-output-feedback
#5
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
#6
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/28420114/fuzzy-system-based-target-selection-for-a-nir-camera-based-gaze-tracker
#7
Rizwan Ali Naqvi, Muhammad Arsalan, Kang Ryoung Park
Gaze-based interaction (GBI) techniques have been a popular subject of research in the last few decades. Among other applications, GBI can be used by persons with disabilities to perform everyday tasks, as a game interface, and can play a pivotal role in the human computer interface (HCI) field. While gaze tracking systems have shown high accuracy in GBI, detecting a user's gaze for target selection is a challenging problem that needs to be considered while using a gaze detection system. Past research has used the blinking of the eyes for this purpose as well as dwell time-based methods, but these techniques are either inconvenient for the user or requires a long time for target selection...
April 14, 2017: Sensors
https://www.readbyqxmd.com/read/28411953/adaptive-fuzzy-control-of-a-class-of-nonaffine-nonlinear-system-with-input-saturation-based-on-passivity-theorem
#8
Ali Molavi, Aliakbar Jalali, Mahdi Ghasemi Naraghi
In this paper, based on the passivity theorem, an adaptive fuzzy controller is designed for a class of unknown nonaffine nonlinear systems with arbitrary relative degree and saturation input nonlinearity to track the desired trajectory. The system equations are in normal form and its unforced dynamic may be unstable. As relative degree one is a structural obstacle in system passivation approach, in this paper, backstepping method is used to circumvent this obstacle and passivate the system step by step. Because of the existence of uncertainty and disturbance in the system, exact passivation and reference tracking cannot be tackled, so the approximate passivation or passivation with respect to a set is obtained to hold the tracking error in a neighborhood around zero...
April 12, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28408281/comparison-of-ann-mlp-anfis-svm-and-rf-models-for-the-online-classification-of-heating-value-of-burning-municipal-solid-waste-in-circulating-fluidized-bed-incinerators
#9
Haihui You, Zengyi Ma, Yijun Tang, Yuelan Wang, Jianhua Yan, Mingjiang Ni, Kefa Cen, Qunxing Huang
The heating values, particularly lower heating values of burning municipal solid waste are critically important parameters in operating circulating fluidized bed incineration systems. However, the heating values change widely and frequently, while there is no reliable real-time instrument to measure heating values in the process of incinerating municipal solid waste. A rapid, cost-effective, and comparative methodology was proposed to evaluate the heating values of burning MSW online based on prior knowledge, expert experience, and data-mining techniques...
April 10, 2017: Waste Management
https://www.readbyqxmd.com/read/28407599/a-structured-participatory-method-to-support-policy-option-analysis-in-a-social-ecological-system
#10
Sara Mehryar, Richard Sliuzas, Ali Sharifi, Diana Reckien, Martin van Maarseveen
In this study we demonstrate how to support policy option analysis for a problematic Social-Ecological System (SES) with the help of stakeholder participation. SES sustainability problems 1) are highly complex, 2) may lack reliable data, 3) encompass conflicting interests and 4) may require contradictory management interventions. Our approach uses a structured participatory method combining the Driver-Pressure-State-Impact-Response (DPSIR) model together with Fuzzy Cognitive Mapping (FCM) to capture the complexity of the system and simplify its representation for simulation and policy option analysis...
April 10, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28402913/the-impacts-of-decision-uncertainty-on-municipal-solid-waste-management
#11
Atousa Soltani, Rehan Sadiq, Kasun Hewage
Municipal solid waste treatment options are not necessarily pragmatic if the stakeholders in the system don't mutually agree on their shares of liabilities. Stakeholders will select an option if their benefits are maximized and costs are minimized. A decision support framework is required to assess various waste treatment options and predict the optimal decision, considering multiple criteria and conflicting preferences of multiple stakeholders. Because of the inherent complexity, uncertainty is unavoidable and should be acknowledged to enhance the reliability in the decision-making process...
April 9, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28398266/design-and-implementation-of-an-intelligent-windowsill-system-using-smart-handheld-device-and-fuzzy-microcontroller
#12
Jing-Min Wang, Ming-Ta Yang, Po-Lin Chen
With the advance of science and technology, people have a desire for convenient and comfortable living. Creating comfortable and healthy indoor environments is a major consideration for designing smart homes. As handheld devices become increasingly powerful and ubiquitous, this paper proposes an innovative use of smart handheld devices (SHD), using MIT App Inventor and fuzzy control, to perform the real-time monitoring and smart control of the designed intelligent windowsill system (IWS) in a smart home. A compact weather station that consists of environment sensors was constructed in the IWS for measuring of indoor illuminance, temperature-humidity, carbon dioxide (CO₂) concentration and outdoor rain and wind direction...
April 11, 2017: Sensors
https://www.readbyqxmd.com/read/28395953/a-facility-location-model-for-municipal-solid-waste-management-system-under-uncertain-environment
#13
Vinay Yadav, A K Bhurjee, Subhankar Karmakar, A K Dikshit
In municipal solid waste management system, decision makers have to develop an insight into the processes namely, waste generation, collection, transportation, processing, and disposal methods. Many parameters (e.g., waste generation rate, functioning costs of facilities, transportation cost, and revenues) in this system are associated with uncertainties. Often, these uncertainties of parameters need to be modeled under a situation of data scarcity for generating probability distribution function or membership function for stochastic mathematical programming or fuzzy mathematical programming respectively, with only information of extreme variations...
April 7, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28393048/comment-on-profitability-analysis-of-a-femtosecond-laser-system-for-cataract-surgery-using-a-fuzzy-logic-approach
#14
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/28392995/a-computer-aided-diagnostic-system-for-kidney-disease
#15
Farzad Firouzi Jahantigh, Behnam Malmir, Behzad Aslani Avilaq
BACKGROUND: Disease diagnosis is complicated since patients may demonstrate similar symptoms but physician may diagnose different diseases. There are a few number of investigations aimed to create a fuzzy expert system, as a computer aided system for disease diagnosis. METHODS: In this research, a cross-sectional descriptive study conducted in a kidney clinic in Tehran, Iran in 2012. Medical diagnosis fuzzy rules applied, and a set of symptoms related to the set of considered diseases defined...
March 2017: Kidney Research and Clinical Practice
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
#16
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
#17
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
#18
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
#19
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/28363113/the-attractor-recurrent-neural-network-based-on-fuzzy-functions-an-effective-model-for-the-classification-of-lung-abnormalities
#20
Mohammad Bagher Khodabakhshi, Mohammad Hassan Moradi
The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the characterization of the lung sounds (LS), based on the attractor recurrent neural network (ARNN). The ARNN structure allows the development of an effective LS model. Additionally, it has the capability to reproduce the distinctive features of the lung sounds using its formed attractors...
March 23, 2017: Computers in Biology and Medicine
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