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https://www.readbyqxmd.com/read/28340415/uncertainty-analysis-for-effluent-trading-planning-using-a-bayesian-estimation-based-simulation-optimization-modeling-approach
#1
J L Zhang, Y P Li, G H Huang, B W Baetz, J Liu
In this study, a Bayesian estimation-based simulation-optimization modeling approach (BESMA) is developed for identifying effluent trading strategies. BESMA incorporates nutrient fate modeling with soil and water assessment tool (SWAT), Bayesian estimation, and probabilistic-possibilistic interval programming with fuzzy random coefficients (PPI-FRC) within a general framework. Based on the water quality protocols provided by SWAT, posterior distributions of parameters can be analyzed through Bayesian estimation; stochastic characteristic of nutrient loading can be investigated which provides the inputs for the decision making...
March 6, 2017: Water Research
https://www.readbyqxmd.com/read/28330355/fast-divide-and-conquer-algorithm-for-evaluating-polarization-in-classical-force-fields
#2
Dominique Nocito, Gregory J O Beran
Evaluation of the self-consistent polarization energy forms a major computational bottleneck in polarizable force fields. In large systems, the linear polarization equations are typically solved iteratively with techniques based on Jacobi iterations (JI) or preconditioned conjugate gradients (PCG). Two new variants of JI are proposed here that exploit domain decomposition to accelerate the convergence of the induced dipoles. The first, divide-and-conquer JI (DC-JI), is a block Jacobi algorithm which solves the polarization equations within non-overlapping sub-clusters of atoms directly via Cholesky decomposition, and iterates to capture interactions between sub-clusters...
March 21, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#3
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325438/fetal-ecg-extraction-via-type-2-adaptive-neuro-fuzzy-inference-systems
#4
Hajar Ahmadieh, Babak Mohammadzadeh Asl
BACKGROUND AND OBJECTIVE: We proposed a noninvasive method for separating the fetal ECG (FECG) from maternal ECG (MECG) by using Type-2 adaptive neuro-fuzzy inference systems. METHODS: The method can extract FECG components from abdominal signal by using one abdominal channel, including maternal and fetal cardiac signals and other environmental noise signals, and one chest channel. The proposed algorithm detects the nonlinear dynamics of the mother's body. So, the components of the MECG are estimated from the abdominal signal...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28321787/a-mathematical-theory-of-shape-and-neuro-fuzzy-methodology-based-diagnostic-analysis-a-comparative-study-on-early-detection-and-treatment-planning-of-brain-cancer
#5
Subrata Kar, D Dutta Majumder
BACKGROUND: Investigation of brain cancer can detect the abnormal growth of tissue in the brain using computed tomography (CT) scans and magnetic resonance (MR) images of patients. The proposed method classifies brain cancer on shape-based feature extraction as either benign or malignant. The authors used input variables such as shape distance (SD) and shape similarity measure (SSM) in fuzzy tools, and used fuzzy rules to evaluate the risk status as an output variable. We presented a classifier neural network system (NNS), namely Levenberg-Marquardt (LM), which is a feed-forward back-propagation learning algorithm used to train the NN for the status of brain cancer, if any, and which achieved satisfactory performance with 100% accuracy...
March 20, 2017: International Journal of Clinical Oncology
https://www.readbyqxmd.com/read/28298263/a-proof-of-principle-simulation-for-closed-loop-control-based-on-preexisting-experimental-thalamic-dbs-enhanced-instrumental-learning
#6
Ching-Fu Wang, Shih-Hung Yang, Sheng-Huang Lin, Po-Chuan Chen, Yu-Chun Lo, Han-Chi Pan, Hsin-Yi Lai, Lun-De Liao, Hui-Ching Lin, Hsu-Yan Chen, Wei-Chen Huang, Wun-Jhu Huang, You-Yin Chen
Deep brain stimulation (DBS) has been applied as an effective therapy for treating Parkinson's disease or essential tremor. Several open-loop DBS control strategies have been developed for clinical experiments, but they are limited by short battery life and inefficient therapy. Therefore, many closed-loop DBS control systems have been designed to tackle these problems by automatically adjusting the stimulation parameters via feedback from neural signals, which has been reported to reduce the power consumption...
February 24, 2017: Brain Stimulation
https://www.readbyqxmd.com/read/28297308/investigation-of-the-optimum-location-of-external-markers-for-patient-setup-accuracy-enhancement-at-external-beam-radiotherapy
#7
Payam Samadi Miandoab, Ahmad Esmaili Torshabi, Saber Nankali
In external beam radiotherapy, one of the most common and reliable methods for patient geometrical setup and/or predicting the tumor location is use of external markers. In this study, the main challenging issue is increasing the accuracy of patient setup by investigating external markers location. Since the location of each external marker may yield different patient setup accuracy, it is important to assess different locations of external markers using appropriate selective algorithms. To do this, two commercially available algorithms entitled a) canonical correlation analysis (CCA) and b) principal component analysis (PCA) were proposed as input selection algorithms...
November 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28287999/adaptive-finite-time-controller-design-for-t-s-fuzzy-systems
#8
Yue Li, Lu Liu, Gang Feng
This paper studies the adaptive finite-time stabilization problem for a class of nonlinear systems described by Takagi-Sugeno (T-S) fuzzy dynamic models with parametric uncertainties. A novel adaptive state feedback control scheme for the T-S fuzzy systems is proposed, and the scheme is developed based on finite-time Lyapunov theorem and adaptive backstepping-like method. Augmented dynamics are introduced in the design of finite-time stabilization controllers to construct suitable finite-time Lyapunov functions...
March 7, 2017: IEEE Transactions on Cybernetics
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
#9
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
#10
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/28278487/meal-detection-and-carbohydrate-estimation-using-continuous-glucose-sensor-data
#11
Sediqeh Samadi, Kamuran Turksoy, Iman Hajizadeh, Jianyuan Feng, Mert Sevil, Ali Cinar
A meal detection and meal size estimation algorithm is developed for use in artificial pancreas (AP) control systems for people with type 1 diabetes. The algorithm detects the consumption of a meal and estimates its carbohydrate (CHO) amount to determine the appropriate dose of insulin bolus for a meal. It can be used in AP systems without manual meal announcements, or as a safety feature for people who may forget entering meal information manually. Using qualitative representation of the filtered continuous glucose monitor signal, a time period labeled as meal flag is identified...
March 3, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28269808/development-of-a-framework-for-resilience-measurement-suggestion-of-fuzzy-resilience-grade-rg-and-fuzzy-resilience-early-warning-grade-rewg
#12
Mohsen Omidvar, Adel Mazlomi, Fam Iraj Mohammad, Fereshteh Nirumand
BACKGROUND: Resilience engineering (RE) can be an alternative technique to the traditional risk assessment and management techniques, to predict and manage safety conditions of modern socio-technical organizations. While traditional risk management approaches are retrospective and highlight error calculation and computation of malfunction possibilities, resilience engineering seeks ways to improve capacity at all levels of organizations in order to build strong yet flexible processes...
February 28, 2017: Work: a Journal of Prevention, Assessment, and Rehabilitation
https://www.readbyqxmd.com/read/28269120/automated-embolic-signal-detection-using-adaptive-gain-control-and-classification-using-anfis
#13
Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit
This work proposes an automated system for real-time high-accuracy detection of cerebral embolic signals (ES) to couple with transcranial Doppler ultrasound (TCD) devices in diagnosing a risk of stroke. The algorithm employs Adaptive Gain Control (AGC) approach to capture suspected ESs in real-time. Then, Adaptive Wavelet Packet Transform (AWPT) and Fast Fourier Transform (FFT) are used to extract from them features most efficiently representing ES, which determined by Sequential Feature Selection technique...
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
#14
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
#15
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/28265346/fuzzy-expert-system-for-diagnosing-diabetic-neuropathy
#16
Meysam Rahmani Katigari, Haleh Ayatollahi, Mojtaba Malek, Mehran Kamkar Haghighi
AIM: To design a fuzzy expert system to help detect and diagnose the severity of diabetic neuropathy. METHODS: The research was completed in 2014 and consisted of two main phases. In the first phase, the diagnostic parameters were determined based on the literature review and by investigating specialists' perspectives (n = 8). In the second phase, 244 medical records related to the patients who were visited in an endocrinology and metabolism research centre during the first six months of 2014 and were primarily diagnosed with diabetic neuropathy, were used to test the sensitivity, specificity, and accuracy of the fuzzy expert system...
February 15, 2017: World Journal of Diabetes
https://www.readbyqxmd.com/read/28261268/an-efficient-approach-in-analysis-of-dna-base-calling-using-neural-fuzzy-model
#17
Safa A Hameed, Raed I Hamed
This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base...
2017: Advances in Bioinformatics
https://www.readbyqxmd.com/read/28257122/research-and-application-of-an-air-quality-early-warning-system-based-on-a-modified-least-squares-support-vector-machine-and-a-cloud-model
#18
Jianzhou Wang, Tong Niu, Rui Wang
The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the area. In this paper, firstly a comprehensive warning system is proposed, which consists of two vital indispensable modules, namely effective forecasting and scientific evaluation, respectively...
March 2, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28256928/performance-assessment-of-human-resource-by-integration-of-hse-and-ergonomics-and-efqm-management-system
#19
Mohsen Sadegh Amalnick, Mansour Zarrin
Purpose The purpose of this paper is to present an integrated framework for performance evaluation and analysis of human resource (HR) with respect to the factors of health, safety, environment and ergonomics (HSEE) management system, and also the criteria of European federation for quality management (EFQM) as one of the well-known business excellence models. Design/methodology/approach In this study, an intelligent algorithm based on adaptive neuro-fuzzy inference system (ANFIS) along with fuzzy data envelopment analysis (FDEA) are developed and employed to assess the performance of the company...
March 13, 2017: International Journal of Health Care Quality Assurance
https://www.readbyqxmd.com/read/28252415/reliable-output-feedback-control-for-t-s-fuzzy-systems-with-decentralized-event-triggering-communication-and-actuator-failures
#20
Changzhu Zhang, Jinfei Hu, Jianbin Qiu, Qijun Chen
Due to the unavailability of full state variables in many control systems, this paper is concerned with the design of reliable observer-based output feedback controller for a class of network-based Takagi-Sugeno fuzzy systems with actuator failures. In order to better allocate network resources under the case that the sensor nodes are physically distributed, the decentralized event triggering communication scheme is adopted such that each sensor node is capable to determine the transmission of its local measurement information independently...
February 23, 2017: IEEE Transactions on Cybernetics
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