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https://www.readbyqxmd.com/read/29661551/control-of-a-manipulator-robot-by-neuro-fuzzy-subsets-form-approach-control-optimized-by-the-genetic-algorithms
#1
Salim Refoufi, Khier Benmahammed
In this paper, we describe a new form of neuro-fuzzy-genetic controller design for nonlinear system derived from a manipulator robot. The proposed method combines fuzzy logic and neuronal networks which are of growing interest in robotics, the neuro-fuzzy controller does not require the knowledge of the robot parameters values. Furtheremore, the genetic algorithms (GAs) for complex motion planning of robots require an evaluation function which takes into account multiple factors. An optimizing algorithm based on the genetic algorithms is applied in order to provide the most adequate shape of the fuzzy subsets that are considered as an interpolation functions...
April 13, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29652868/nature-disaster-risk-evaluation-with-a-group-decision-making-method-based-on-incomplete-hesitant-fuzzy-linguistic-preference-relations
#2
Ming Tang, Huchang Liao, Zongmin Li, Zeshui Xu
Because the natural disaster system is a very comprehensive and large system, the disaster reduction scheme must rely on risk analysis. Experts' knowledge and experiences play a critical role in disaster risk assessment. The hesitant fuzzy linguistic preference relation is an effective tool to express experts' preference information when comparing pairwise alternatives. Owing to the lack of knowledge or a heavy workload, information may be missed in the hesitant fuzzy linguistic preference relation. Thus, an incomplete hesitant fuzzy linguistic preference relation is constructed...
April 13, 2018: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29642525/multi-objectives-optimization-of-ventilation-controllers-for-passive-cooling-in-residential-buildings
#3
Krzysztof Grygierek, Joanna Ferdyn-Grygierek
An inappropriate indoor climate, mostly indoor temperature, may cause occupants' discomfort. There are a great number of air conditioning systems that make it possible to maintain the required thermal comfort. Their installation, however, involves high investment costs and high energy demand. The study analyses the possibilities of limiting too high a temperature in residential buildings using passive cooling by means of ventilation with ambient cool air. A fuzzy logic controller whose aim is to control mechanical ventilation has been proposed and optimized...
April 9, 2018: Sensors
https://www.readbyqxmd.com/read/29629611/a-safe-speed-guidance-model-for-highways
#4
Renato De Mello, Renato Davi Chiodi
This paper presents a fuzzy logic model to support decisions for the suggested speed limit for sections of highways as they become affected by adverse road conditions, environmental factors and differing traffic levels. The definition of the main factors, and their weight, that reduce safety on highways was conducted by the Delphi method, consulting traffic engineering experts. The survey served as a basis for structuring indicators and indexes in a soft decision tree, structured by a fuzzy logic system. The system can be used to support the decisions of those that manage the roads, indicating to drivers' speeds, by visual, audible or combined systems...
April 7, 2018: International Journal of Injury Control and Safety Promotion
https://www.readbyqxmd.com/read/29626540/supramolecular-assembly-of-human-pulmonary-surfactant-protein-sp-d
#5
R Arroyo, A Martin-González, M Echaide, A Jain, W H Brondyk, J Rosenbaum, F Moreno-Herrero, J Perez-Gil
Pulmonary surfactant protein D (SP-D) is a glycoprotein from the collectin family that is a component of the lung surfactant system. It exhibits host defense and immune regulatory functions in addition to contributing to the homeostasis of the surfactant pool within the alveolar airspaces. It is known that the SP-D monomer forms trimers, which further associate into higher order oligomers. However, the pathway and the interactions involved in the assembly of SP-D oligomers are not clearly understood. In the current study, a recombinant form of full-length human SP-D (rhSP-D) has been qualitatively and quantitatively studied by Atomic Force Microscopy (AFM) and electrophoresis, with the aim to understand the conformational diversity and the determinants defining the oligomerization of the protein...
April 4, 2018: Journal of Molecular Biology
https://www.readbyqxmd.com/read/29600498/assessment-of-water-quality-monitoring-for-the-optimal-sensor-placement-in-lake-yahuarcocha-using-pattern-recognition-techniques-and-geographical-information-systems
#6
Gabriel Jácome, Carla Valarezo, Changkyoo Yoo
Pollution and the eutrophication process are increasing in lake Yahuarcocha and constant water quality monitoring is essential for a better understanding of the patterns occurring in this ecosystem. In this study, key sensor locations were determined using spatial and temporal analyses combined with geographical information systems (GIS) to assess the influence of weather features, anthropogenic activities, and other non-point pollution sources. A water quality monitoring network was established to obtain data on 14 physicochemical and microbiological parameters at each of seven sample sites over a period of 13 months...
March 30, 2018: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/29587392/correction-of-visual-perception-based-on-neuro-fuzzy-learning-for-the-humanoid-robot-teo
#7
Juan Hernandez-Vicen, Santiago Martinez, Juan Miguel Garcia-Haro, Carlos Balaguer
New applications related to robotic manipulation or transportation tasks, with or without physical grasping, are continuously being developed. To perform these activities, the robot takes advantage of different kinds of perceptions. One of the key perceptions in robotics is vision. However, some problems related to image processing makes the application of visual information within robot control algorithms difficult. Camera-based systems have inherent errors that affect the quality and reliability of the information obtained...
March 25, 2018: Sensors
https://www.readbyqxmd.com/read/29571583/reachable-set-estimation-for-takagi-sugeno-fuzzy-systems-against-unknown-output-delays-with-application-to-tracking-control-of-auvs
#8
Zhixiong Zhong, Yanzheng Zhu, Choon Ki Ahn
In this paper, we address the problem of reachable set estimation for continuous-time Takagi-Sugeno (T-S) fuzzy systems subject to unknown output delays. Based on the reachable set concept, a new controller design method is also discussed for such systems. An effective method is developed to attenuate the negative impact from the unknown output delays, which likely degrade the performance/stability of systems. First, an augmented fuzzy observer is proposed to capacitate a synchronous estimation for the system state and the disturbance term owing to the unknown output delays, which ensures that the reachable set of the estimation error is limited via the intersection operation of ellipsoids...
March 20, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29571126/development-of-an-integrated-model-for-energy-systems-planning-and-carbon-dioxide-mitigation-under-uncertainty-tradeoffs-between-two-level-decision-makers
#9
S W Jin, Y P Li, L P Xu
A bi-level fuzzy programming (BFLP) method was developed for energy systems planning (ESP) and carbon dioxide (CO2 ) mitigation under uncertainty. BFLP could handle fuzzy information and leader-follower problem in decision-making processes. It could also address the tradeoffs among different decision makers in two decision-making levels through prioritizing the most important goal. Then, a BFLP-ESP model was formulated for planning energy system of Beijing, in which the upper-level objective is to minimize CO2 emission and the lower-level objective is to minimize the system cost...
March 20, 2018: Environmental Research
https://www.readbyqxmd.com/read/29568311/enhanced-ant-colony-optimization-with-dynamic-mutation-and-ad-hoc-initialization-for-improving-the-design-of-tsk-type-fuzzy-system
#10
Chi-Chung Chen, Yi-Ting Liu
This paper proposes an enhanced ant colony optimization with dynamic mutation and ad hoc initialization, ACODM-I, for improving the accuracy of Takagi-Sugeno-Kang- (TSK-) type fuzzy systems design. Instead of the generic initialization usually used in most population-based algorithms, ACODM-I proposes an ad hoc application-specific initialization for generating the initial ant solutions to improve the accuracy of fuzzy system design. The generated initial ant solutions are iteratively improved by a new approach incorporating the dynamic mutation into the existing continuous ACO (ACOR )...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29560165/modelling-the-regional-vulnerability-to-echinococcosis-based-on-environmental-factors-using-fuzzy-inference-system-a-case-study-of-lorestan-province-west-of-iran
#11
Mojtaba Ahmadinejad, Zeinab Obeidavi, Zia Obeidavi, Reza Alipoor
Background and aim: Echinococcosis as a zoonosis disease is one of the most important parasitic helminth that is affected by many risk factors such as the environmental factors. Thus, we predicted the regional vulnerability to Echinococcosis based on environmental factors using a fuzzy inference system (FIS) in Lorestan Province. Methods: Our study was cross-sectional study on 200 patients from Lorestan Province (west of Iran) who underwent surgery for hydatidosis between October 2005 and November 2014...
December 2017: Electronic Physician
https://www.readbyqxmd.com/read/29560150/a-fuzzy-rule-based-expert-system-for-diagnosing-cystic-fibrosis
#12
Maryam Hassanzad, Azam Orooji, Ali Valinejadi, Aliakbar Velayati
Background: Finding a valid diagnosis is mostly a prolonged process. Current advances in the sector of artificial intelligence have led to the appearance of expert systems that enrich the experiences and capabilities of doctors for making decisions for their patients. Objective: The objective of this research was developing a fuzzy expert system for diagnosing Cystic Fibrosis (CF). Methods: Defining the risk factors and then, designing the fuzzy expert system for diagnosis of CF were carried out in this cross-sectional study...
December 2017: Electronic Physician
https://www.readbyqxmd.com/read/29551217/sub-optimal-control-of-fuzzy-linear-dynamical-systems-under-granular-differentiability-concept
#13
Mehran Mazandarani, Naser Pariz
This paper deals with sub-optimal control of a fuzzy linear dynamical system. The aim is to keep the state variables of the fuzzy linear dynamical system close to zero in an optimal manner. In the fuzzy dynamical system, the fuzzy derivative is considered as the granular derivative; and all the coefficients and initial conditions can be uncertain. The criterion for assessing the optimality is regarded as a granular integral whose integrand is a quadratic function of the state variables and control inputs. Using the relative-distance-measure (RDM) fuzzy interval arithmetic and calculus of variations, the optimal control law is presented as the fuzzy state variables feedback...
March 16, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29541618/trabecular-bone-microstructure-is-impaired-in-the-proximal-femur-of-human-immunodeficiency-virus-infected-men-with-normal-bone-mineral-density
#14
Galateia J Kazakia, Julio Carballido-Gamio, Andrew Lai, Lorenzo Nardo, Luca Facchetti, Courtney Pasco, Chiyuan A Zhang, Misung Han, Amanda Hutton Parrott, Phyllis Tien, Roland Krug
Background: There is evidence that human immunodeficiency virus (HIV) infection and antiretroviral therapy (ART) are independent risk factors for osteoporosis and fracture which is not solely explained by changes in bone mineral density. Thus, we hypothesized that the assessment of trabecular microstructure might play an important role for bone quality in this population and might explain the increased fracture risk. In this study, we have assessed bone microstructure in the proximal femur using high-resolution magnetic resonance imaging (MRI) as well as in the extremities using high resolution peripheral quantitative computed tomography (HR-pQCT) in HIV-infected men and healthy controls and compared these findings to those based on areal bone mineral density (aBMD) derived from dual X-ray absorptiometry (DXA) which is the standard clinical parameter for the diagnosis of osteoporosis...
February 2018: Quantitative Imaging in Medicine and Surgery
https://www.readbyqxmd.com/read/29535921/markerless-respiratory-tumor-motion-prediction-using-an-adaptive-neuro-fuzzy-approach
#15
Nima Rostampour, Keyvan Jabbari, Mahdad Esmaeili, Mohammad Mohammadi, Shahabedin Nabavi
Background: Accurate delivery of the prescribed dose to moving lung tumors is a key challenge in radiation therapy. Tumor tracking involves real-time specifying the target and correcting the geometry to compensate for the respiratory motion, that's why tracking the tumor requires caution. This study aims to develop a markerless lung tumor tracking method with a high accuracy. Methods: In this study, four-dimensional computed tomography (4D-CT) images of 10 patients were used, and all the slices which contained the tumor were contoured for all patients...
January 2018: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/29535919/improving-classification-of-cancer-and-mining-biomarkers-from-gene-expression-profiles-using-hybrid-optimization-algorithms-and-fuzzy-support-vector-machine
#16
Niloofar Yousefi Moteghaed, Keivan Maghooli, Masoud Garshasbi
Background: Gene expression data are characteristically high dimensional with a small sample size in contrast to the feature size and variability inherent in biological processes that contribute to difficulties in analysis. Selection of highly discriminative features decreases the computational cost and complexity of the classifier and improves its reliability for prediction of a new class of samples. Methods: The present study used hybrid particle swarm optimization and genetic algorithms for gene selection and a fuzzy support vector machine (SVM) as the classifier...
January 2018: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/29530338/experimental-validation-of-predictor-corrector-approach-based-control-schemes-on-the-laboratory-scale-non-linear-system
#17
S Kapil Arasu, J Prakash
In this work, the authors have designed and implemented predictor-corrector approach based control schemes for a single input-single output nonlinear system. The controller output is computed in two steps. The first step explicitly uses a non-linear model or multiple-linear models weighted using fuzzy membership function to compute the value of the controller output. The second step is based on the measurement, where the value of the controller output computed in first step is updated. The extensive simulation studies show that the set-point tracking and disturbance rejection capability of the proposed control schemes are found to be satisfactory in the absence and presence of Model-plant mismatch...
March 9, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29522825/glyco-mapper-a-chinese-hamster-ovary-cho-genome-specific-glycosylation-prediction-tool
#18
Benjamin G Kremkow, Kelvin H Lee
Glyco-Mapper is a novel systems biology product quality prediction tool created using a new framework termed: Discretized Reaction Network Modeling using Fuzzy Parameters (DReaM-zyP). Within Glyco-Mapper, users fix the nutrient feed composition and the glycosylation reaction fluxes to fit the model glycoform to the reference experimental glycoform, enabling cell-line specific glycoform predictions as a result of cell engineering strategies. Glyco-Mapper accurately predicts published genetically altered glycoforms resulting in the appearance or disappearance of one or more glycans between 1999 and 2014 with an accuracy, sensitivity, and specificity of 96%, 85%, and 97%, respectively...
March 6, 2018: Metabolic Engineering
https://www.readbyqxmd.com/read/29510569/research-of-planetary-gear-fault-diagnosis-based-on-permutation-entropy-of-ceemdan-and-anfis
#19
Moshen Kuai, Gang Cheng, Yusong Pang, Yong Li
For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in frequent failures of planetary gear. A method is proposed for diagnosing faults in planetary gear based on permutation entropy of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) Adaptive Neuro-fuzzy Inference System (ANFIS) in this paper. The original signal is decomposed into 6 intrinsic mode functions (IMF) and residual components by CEEMDAN...
March 5, 2018: Sensors
https://www.readbyqxmd.com/read/29505999/multiple-flood-vulnerability-assessment-approach-based-on-fuzzy-comprehensive-evaluation-method-and-coordinated-development-degree-model
#20
Weichao Yang, Kui Xu, Jijian Lian, Lingling Bin, Chao Ma
Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood vulnerability assessment is becoming gradually relevant in the world. The purpose of this study is to develop an approach to reveal the relationship between exposure, sensitivity and adaptive capacity for better flood vulnerability assessment, based on the fuzzy comprehensive evaluation method (FCEM) and coordinated development degree model (CDDM). The approach is organized into three parts: establishment of index system, assessment of exposure, sensitivity and adaptive capacity, and multiple flood vulnerability assessment...
March 2, 2018: Journal of Environmental Management
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