针对目前变电站电压无功控制系统存在的缺陷,提出了在调度端实现智能区域电压无功控制的系统设计。该系统利用调度自动化的数据采集与监视控制(supervisory control and data acquisition,SCADA)系统功能和电网应用软件功能,实现区域和...针对目前变电站电压无功控制系统存在的缺陷,提出了在调度端实现智能区域电压无功控制的系统设计。该系统利用调度自动化的数据采集与监视控制(supervisory control and data acquisition,SCADA)系统功能和电网应用软件功能,实现区域和变电站的协调控制;该系统将无功优化、灵敏度分析、网损分析、人工智能等有机地结合在一起,实现了智能分区和上下级之间的智能协调优化控制。展开更多
Reconstructed synsedimentary paleogeomorpholgy is an effective method in predicting the distribution of sandbodies and can provide valid evidence in the search for reservoirs. Based on a synsedimentary paleogeomorphol...Reconstructed synsedimentary paleogeomorpholgy is an effective method in predicting the distribution of sandbodies and can provide valid evidence in the search for reservoirs. Based on a synsedimentary paleogeomorpholgy reconstruction of the third member of the Dongying formation (Ed3) in the Qikou sag,the basic paleogeomorphic characteristics of Ed3 are described and the spatial distributions of denudation and subsidence areas are discussed. Key boundary faults controlling the deposition of important sediment bodies are proposed and the interrelations among faulted slope-break belts or flexure belts,intra-depression uplifts and sags,sediment sources and sediments input points have been investigated.展开更多
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Most current approaches only focus on discriminating moving objects by background subtraction wh...Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Most current approaches only focus on discriminating moving objects by background subtraction whether or not the objects of interest can be moving or stationary. In this paper, we propose layers segmentation to detect both moving and stationary target objects from surveillance video. We extend the Maximum Entropy (ME) statistical model to segment layers with features, which are collected by constructing a codebook with a set of codewords for each pixel. We also indicate how the training models are used for the discrimination of target objects in surveillance video. Our experimental results are presented in terms of the success rate and the segmenting precision.展开更多
文摘针对目前变电站电压无功控制系统存在的缺陷,提出了在调度端实现智能区域电压无功控制的系统设计。该系统利用调度自动化的数据采集与监视控制(supervisory control and data acquisition,SCADA)系统功能和电网应用软件功能,实现区域和变电站的协调控制;该系统将无功优化、灵敏度分析、网损分析、人工智能等有机地结合在一起,实现了智能分区和上下级之间的智能协调优化控制。
基金Projects 40872077 supported by the National Natural Science Foundation of China2008CDA098 by the Key Natural Science Foundation of Hubei Province
文摘Reconstructed synsedimentary paleogeomorpholgy is an effective method in predicting the distribution of sandbodies and can provide valid evidence in the search for reservoirs. Based on a synsedimentary paleogeomorpholgy reconstruction of the third member of the Dongying formation (Ed3) in the Qikou sag,the basic paleogeomorphic characteristics of Ed3 are described and the spatial distributions of denudation and subsidence areas are discussed. Key boundary faults controlling the deposition of important sediment bodies are proposed and the interrelations among faulted slope-break belts or flexure belts,intra-depression uplifts and sags,sediment sources and sediments input points have been investigated.
基金Project supported by the National Natural Science Foundation of China (No. 60272031), and Technology Plan Program of ZhejiangProvince (No. 2003C21010), and Zhejiang Provincial Natural Sci-ence Foundation of China (No. M603202)
文摘Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Most current approaches only focus on discriminating moving objects by background subtraction whether or not the objects of interest can be moving or stationary. In this paper, we propose layers segmentation to detect both moving and stationary target objects from surveillance video. We extend the Maximum Entropy (ME) statistical model to segment layers with features, which are collected by constructing a codebook with a set of codewords for each pixel. We also indicate how the training models are used for the discrimination of target objects in surveillance video. Our experimental results are presented in terms of the success rate and the segmenting precision.
