Studying spatio-temporal evolution of epidemics can uncover important aspects of interaction among people, infectious diseases, and the environment, providing useful insights and modeling support to facilitate public ...
详细信息
Studying spatio-temporal evolution of epidemics can uncover important aspects of interaction among people, infectious diseases, and the environment, providing useful insights and modeling support to facilitate public health response and possibly prevention measures. This paper presents an empirical spatio-temporal analysis of epidemiological data concerning 2321 SARS-infected patients in Beijing in 2003. We mapped the SARS morbidity data with the spatial data resolution at the level of street and township. Two smoothing methods, Bayesian adjustment and spatial smoothing, were applied to identify the spatial risks and spatial transmission trends. Furthermore, we explored various spatial patterns and spatio-temporal evolution of Beijing 2003 SARS epidemic using spatial statistics such as Moran’s I and LISA. Part of this study is targeted at evaluating the effectiveness of public health control measures implemented during the SARS epidemic. The main findings are as follows. (1) The diffusion speed of SARS in the northwest-southeast direction is weaker than that in northeast-southwest direction. (2) SARS’s spread risk is positively spatially associated and the strength of this spatial association has experienced changes from weak to strong and then back to weak during the lifetime of the Beijing SARS epidemic. (3) Two spatial clusters of disease cases are identified: one in the city center and the other in the eastern suburban area. These two clusters followed different evolutionary paths but interacted with each other as well. (4) Although the government missed the opportunity to contain the early outbreak of SARS in March 2003, the response strategies implemented after the mid of April were effective. These response measures not only controlled the growth of the disease cases, but also mitigated the spatial diffusion.
The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing...
详细信息
Traditional on-site fault diagnosis means cannot meet the needs of large rotating machinery for its performance and complexity. Remote monitoring and diagnosis technology is a new fault diagnosis mode combining comput...
详细信息
Traditional on-site fault diagnosis means cannot meet the needs of large rotating machinery for its performance and complexity. Remote monitoring and diagnosis technology is a new fault diagnosis mode combining computer technology, communication technology, and fault diagnosis technology. The designed remote monitoring and diagnosis and prediction system for large rotating machinery integrates the distributed resources in different places and breaks through shortcomings as the offline and decentralized information. The system can make further implementation of equipment prediction technology research based on condition monitoring and fault diagnosis, provide on-site analysis results, and carry out online actual verification of the results. The system monitors real-time condition of the equipment and achieves early fault prediction with great significance to guarantee safe operation, saves maintenance costs, and improves utilization and management of the equipment.
In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by co...
详细信息
In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by constructing a modified Lyapunov-Krasovskii functional,a mean-square exponential stability condition for the above systems is presented in terms of linear matrix inequalities (LMIs). Here,the decay rate can be a finite positive constant in a range and the derivative of time-varying delays is only required to have an upper bound which is not required to be less than 1. Then,based on the proposed stability condition,a delayed-state-feedback controller is designed. Finally,numerical examples are presented to illustrate the effectiveness of the theoretical results.
This paper presents a speed-sensorless control algorithm for induction motors, based on the stator flux-oriented control. The algorithm has the advantage of insensitivity to rotor parameters and load varying, stator f...
详细信息
ISBN:
(纸本)9781424471591
This paper presents a speed-sensorless control algorithm for induction motors, based on the stator flux-oriented control. The algorithm has the advantage of insensitivity to rotor parameters and load varying, stator flux and rotor speed is closed loop controlled respectively. The main improvement is that stator flux is estimated based on a modified integrator which is developed to solve the problems associated with pure integrator. The performance of the proposed algorithm is verified using a dSPACE system with DS1103 controller board based on the digital signal processor (DSP) TMS320F240. The experimental results show the estimated speed is true of exactly actual speed and good behavior of the drive in both transient and steady state low-speed operating conditions is proved.
Because it is difficult for the traditional PID algorithm for nonlinear time-variant control objects to obtain satisfactory control results, this paper studies a neuron PID controller. The neuron PID controller makes ...
详细信息
Because it is difficult for the traditional PID algorithm for nonlinear time-variant control objects to obtain satisfactory control results, this paper studies a neuron PID controller. The neuron PID controller makes use of neuron self-learning ability, complies with certain optimum indicators, and automatically adjusts the parameters of the PID controller and makes them adapt to changes in the controlled object and the input reference signals. The PID controller is used to control a nonlinear time-variant membrane structure inflation system. Results show that the neural network PID controller can adapt to the changes in system structure parameters and fast track the changes in the input signal with high control precision.
In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG compon...
详细信息
A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximat...
详细信息
A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximately suppose that the sinusoidal fringe projection to the plate, the phase differences between adjacent pixels are equal. Then we put the phase shift error into the original algorithm for error compensation. Simulation results show the inhibitory effect of the errors after using the new algorithm for error compensation. Lastly we use the new algorithm for three-dimensional reconstruction of physical measurement. The final effect image shows obviously that the new compensation algorithm is better than the original. So this error extracting algorithm can effectively improve the accuracy of three-dimensional measurement.
A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximat...
详细信息
In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG compon...
详细信息
In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG components of the color fringe to two different frequencies of sinusoidal pattern and the B component to the average value of R or G component. Then project the pattern to the object. Separate these RGB components of the captured color pattern and use our method to process these three gray patterns. By using the proposed method, the background and high frequency noises can be eliminated during FTP process, also the accurate unwrapped phase which contains the height information can be got by using two frequencies of wrapped phase to unwrap the phase. Only one frame color pattern is needed to get the 3D information of an object. Experiment results show that the 3D information of an object can be obtained rapidly and accurately using the proposed method. And also the object can be measured dynamically.
暂无评论