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Search Results: 1 - 10 of 49749 matches for " Peng Guo "
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Survival Analysis of Victims of Sulfur Oxide Air Pollution Suffering from COPD or Asthma in Yokkaichi, Japan, in Relation to Predisposing Exposure  [PDF]
Peng Guo, Kazuhito Yokoyama
Journal of Environmental Protection (JEP) , 2012, DOI: 10.4236/jep.2012.329142
Abstract: To investigate the relationships between clinical findings and symptoms and the survival of patients with Yokkaichi Asthma, in relation to predisposing sulfur dioxide (SO2) exposure, we examined records of 1836 patients registered in the city of Yokkaichi during 1973-1988 by “Pollution-Related Health Damage Compensation Law.” Complete records were obtained from 735 patients (352 males and 383 females) until December 31, 2007, and were used for the analysis. Ambient SO2 concentrations in the Yokkaichi area were obtained from the Environmental Numeric Database of the National Institute for Environmental Science, Japan. It was found that severity of clinical symptoms and decreased pulmonary function were significantly correlated with predisposing SO2 exposure. A Cox proportional hazards analysis revealed that among all patients (COPD and asthma), age, forced expiratory volume 1.0 (sec) % and smoking affected mortality for both males and females. Significant associations between mortality, vital capacity (percent predicted) and cough and sputum were observed in males. Thus, the survival of patients with Yokkaichi Asthma was affected by severity of clinical symptoms and decreased pulmonary function, which were related to predisposing SO2 exposure. It appeared that the effects of clinical changes were greater in males than in females.
Research on the Influencing Factors of Enterprise Collaborative Innovation  [PDF]
Ling Li, Peng Guo
American Journal of Industrial and Business Management (AJIBM) , 2017, DOI: 10.4236/ajibm.2017.77068
Abstract: This article analyzes the current status of research on the first domestic. Through the research show like research and analysis of the characteristics of collaborative innovation, the research uses the factor analysis method to verify the 4 factors. Results show that the factor analysis of the 4 factors can be found divided into 2 categories. Based on the collaboration between government and schools, University Enterprise Cooperation Committee to promote mode, build research and development entities pattern of Building Research Institute, subject project group or combination model, and different forms of IUR cooperative innovation mode, industry university research institute alliance participants cooperation willingness and cooperation intensity is different, thus IUR Institute Alliance collaborative innovation will be different.
The Echo Modelling and Simulation of the Semi-Active Radar Seeker against a Sea Skimming Target  [PDF]
Peng Peng, Lixin Guo, Hualong Sun
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.612007
Abstract:
This paper has proposed a new modelling and simulating technique for the echo of the semi-active radar seeker against the sea skimming target. The echo modelling is based on the electromagnetic scattering mechanisms. A modified Four-path model based on the radar detection scene is used to describe the multipath scattering between the target and rough sea surface. A Facet-based Small Slope Approximation (FBSSA) method is employed to calculate the scattering from the sea surface. The Physical Optics (PO) and the Equivalent Edge Current (EEC) Method is used to calculate the target scattering. In the echo simulations. The results present the original echo and the echo processed by the signal processing procedures, where the clutter and multipath effect can be observed.
The three-particle system on a torus
Peng Guo
Physics , 2013,
Abstract: Based on Lippmann-Schwinger equation approach, we discuss a three-particle system in finite volume. A set of equations which relate the discrete finite-volume energies to the scattering amplitudes are derived under the approximation of the isobar model relevant for the case of narrow two- and three-body resonances.
Coupled-channel scattering in 1+1 dimensional lattice model
Peng Guo
Physics , 2013, DOI: 10.1103/PhysRevD.88.014507
Abstract: Based on the Lippmann-Schwinger equation approach, a generalized L\"uscher's formula in 1+1 dimensions for two particles scattering in both the elastic and coupled-channel cases in moving frames is derived. A 2D coupled-channel scattering lattice model is presented, the model represents a two-coupled-channel resonant scattering scalars system. The Monte Carlo simulation is performed on finite lattices and in various moving frames. The 2D generalized L\"uscher's formula is used to extract the scattering amplitudes for the coupled-channel system from the discrete finite-volume spectrum.
The Adomian Decomposition Method for a Type of Fractional Differential Equations  [PDF]
Peng Guo
Journal of Applied Mathematics and Physics (JAMP) , 2019, DOI: 10.4236/jamp.2019.710166
Abstract: Fractional differential equations are widely used in many fields. In this paper, we discussed the fractional differential equation and the applications of Adomian decomposition method. Where the fractional operator is in Caputo sense. Through the numerical test, we can find that the Adomian decomposition method is a powerful tool for solving linear and nonlinear fractional differential equations. The numerical results also show the efficiency of this method.
Using GIS to Analysis Runoff Change in Land Utilization of Foping, Nature Reserve, Shanxi Province  [PDF]
Yi GUO, Xiaoping HUANG, Jingqian PENG
Journal of Geographic Information System (JGIS) , 2009, DOI: 10.4236/jgis.2009.11010
Abstract: Land use is an indicator of the interaction between human and the environment on the earth surface. Recently, an increasing attention has been paid to the issue of impact of land use and land cover change on environment and water quality. In this paper, we analyzed the land use and land cover change by using RS and GIS, and simulated its implications in runoff from 1991 to 2000 using SCS model in the Foping Nature Reserve, Shan 'xi Province. Our results showed that this region were main plantation, woodland and grassland. Woodland area increased significantly, while plantation and grassland area decreased, which would greatly affect runoff. Meanwhile, the results show that woodland area and land cover area are negatively correlated with the runoff.
Wind Turbine Gearbox Condition Monitoring with AAKR and Moving Window Statistic Methods
Peng Guo,Nan Bai
Energies , 2011, DOI: 10.3390/en4112077
Abstract: Condition Monitoring (CM) of wind turbines can greatly reduce the maintenance costs for wind farms, especially for offshore wind farms. A new condition monitoring method for a wind turbine gearbox using temperature trend analysis is proposed. Autoassociative Kernel Regression (AAKR) is used to construct the normal behavior model of the gearbox temperature. With a proper construction of the memory matrix, the AAKR model can cover the normal working space for the gearbox. When the gearbox has an incipient failure, the residuals between AAKR model estimates and the measurement temperature will become significant. A moving window statistical method is used to detect the changes of the residual mean value and standard deviation in a timely manner. When one of these parameters exceeds predefined thresholds, an incipient failure is flagged. In order to simulate the gearbox fault, manual temperature drift is added to the initial Supervisory Control and Data Acquisitions (SCADA) data. Analysis of simulated gearbox failures shows that the new condition monitoring method is effective.
Wind Turbine Tower Vibration Modeling and Monitoring by the Nonlinear State Estimation Technique (NSET)
Peng Guo,David Infield
Energies , 2012, DOI: 10.3390/en5125279
Abstract: With appropriate vibration modeling and analysis the incipient failure of key components such as the tower, drive train and rotor of a large wind turbine can be detected. In this paper, the Nonlinear State Estimation Technique (NSET) has been applied to model turbine tower vibration to good effect, providing an understanding of the tower vibration dynamic characteristics and the main factors influencing these. The developed tower vibration model comprises two different parts: a sub-model used for below rated wind speed; and another for above rated wind speed. Supervisory control and data acquisition system (SCADA) data from a single wind turbine collected from March to April 2006 is used in the modeling. Model validation has been subsequently undertaken and is presented. This research has demonstrated the effectiveness of the NSET approach to tower vibration; in particular its conceptual simplicity, clear physical interpretation and high accuracy. The developed and validated tower vibration model was then used to successfully detect blade angle asymmetry that is a common fault that should be remedied promptly to improve turbine performance and limit fatigue damage. The work also shows that condition monitoring is improved significantly if the information from the vibration signals is complemented by analysis of other relevant SCADA data such as power performance, wind speed, and rotor loads.
Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
Hui Hu,Peng Guo
Journal of Computers , 2012, DOI: 10.4304/jcp.7.5.1169-1175
Abstract: A direct adaptive neural network tracking control scheme is presented for a class of SISO affine nonlinear uncertain systems. Uncertainties meet the match conditions. Parameters in neural networks are updated using a gradient descent method which designed in order to minimize a quadratic cost function of the error between the unknown ideal implicit controller and the used neural networks controller. No robustifying control term is used in controller. The convergence of adaptive parameters and tracking error and the boundedness of all states in the corresponding closed-loop system are demonstrated by Lyapunov stability theorem.Simulation results illustrate the availability of this method .
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