A novel elevator group control algorithm based on binocular-cameras corridor passenger detection and tracking

Multimedia Tools and Applications - The conventional elevator arrives at the floor in response to the user request and where is to dispatch an elevator car. There is one big problem that when...     

An Interacting Multiple Model Approach for State Estimation with Non‐Gaussian Noise Using a Variational Bayesian Method

The conventional interacting multiple models (IMM) approach for a hybrid system under the Gaussian assumption is limited for most real applications due to the noisy measurements often being in the presence of outliers. This paper aims at accommodating the IMM approach to the non‐Gaussian cases where outliers exist. In the proposed IMM algorithm, the Student‐t distribution is used to model the non‐Gaussian measurement noise. At the interaction step, the mixed statistics of the noise parameter under a Bayesian framework are obtained via a Gamma approximation and a recently reported moments matching method. To address the state noise‐coupled intractability in Bayesian filtering, a variational Bayesian method is utilized to approximate the posterior distributions of the noise and state recursively. The proposed algorithm is tested with a maneuvering target tracking example and is shown to be robust to the outliers.     

基于组态软件的水电站监控系统的设计与开发

针对小型水电站集中控制与安全可靠性能的需要,设计了水电站上位机软件,包括监控软件和通讯服务软件两个部分;监控软件采用组态软件IFIX4.5设计,根据监控软件的设计步骤,配置驱动程序实现采集数据、构建过程数据库并对相应参数进行设置、设计监控系统界面、利用IFIX自带的子例程函数库设计报表;通讯服务软件采用VB设计,通过协议转换实现监控软件与智能设备之间的通讯;该上位机软件在实际工程中得到了很好的应用,能够准确实时地显示各机组运行情况及主要运行参数,提高了整个系统的安全可靠性.