Applications of high-gravity technologies in gas purifications: A review

The traditional gas purification techniques such as wet gas desulfurization, with their advantages of large-scale implementation and maturity, have still been widely used. However, the main drawback of these techniques is the low transfer efficiency, which normally needs towers as tall as tens of meters to remove the pollutants. Therefore, new technologies which could enhance the mass transfer efficiency and are less energy-intensive are highly desirable. As a process intensification technology, high-gravity technology, which is carried out in a rotating packed bed(RPB), has recently demonstrated great potential for industrial applications due to its high mass transfer efficiency, energy-saving, and smaller volume. This consequently provides higher efficiency in toxic gas removal, and can significantly reduce the investment and operation costs. In this review, the mechanism,characteristics, recent developments, and the industry applications of high-gravity technologies in gas purifications, such as hydrogen sulfide, nitrogen oxide, carbon dioxide, sulfur dioxide, volatile organic compounds and nanoparticle removal are discussed, most of the demonstration projects and practical application examples in gas purification come from China. The perspective and prospective of this technology in gas purification and other fields are also briefly discussed.     

基于Hilbert信号空间的未知干扰自适应识别方法

针对大样本下未知干扰类型的分类识别问题,该文提出一种基于信号特征空间的未知干扰自适应识别方法。首先,基于Hilbert信号空间理论对干扰信号进行处理,建立干扰信号特征空间,进而利用投影定理对未知干扰进行最佳逼近,提出基于信号特征空间的概率神经网络(PNN)分类算法,并设计了未知干扰分类识别器的处理流程。仿真结果表明,与两种传统方法相比,该方法在已知干扰的分类精度方面分别提高了12.2%和2.8%;满足条件的未知干扰最佳逼近效果随功率强度呈线性变化,设计的分类识别器在满足最佳逼近的各类干扰中总体识别率达到91.27%,处理干扰识别的速度明显改善;在信噪比达到4 dB时,对未知干扰识别准确率达到92%以上。     

Adversarial training and ensemble learning for automatic code summarization

Neural Computing and Applications - Natural language summaries of codes are important during software development and maintenance. Recently, deep learning-based models have achieved good...     

Discovering periodic cluster patterns in event sequence databases

Applied Intelligence - Since periodic events are very common everywhere, periodic pattern mining is increasingly more important in today’s data mining domain. However, there is currently no...     

浅析企业竞争性情报的获取与保密

竞争性情报是企业战略决策所需要的信息，每个企业都会把决策建立在竞争性情报的基础之上。如何获得竞争性情报、如何利用竞争性情报，同时如何预防自己的竞争性情况外泄，自然成为企业关注的问题。     

基于AutoCAD开发平台的光滑极限量规CAD

介绍了在AutoCAD环境下 ,利用内嵌的AutoLISP语言 ,二次开发的光滑极限量规计算机辅助设计软件。包括量规型式的选择 ,系统结构及参数化绘图等功能模块。     

电站锅炉本体水压试验标准的区别和选择

介绍了关于电站锅炉本体水压试验的中国标准与ＡＳＭＥ标准的区别以及根据ＡＳＭＥ标准进行水压试验的程序     

A detection method for near-ship wakes based on interferometric magnitude,phase and physical shape in ATI-SAR systems

Near-ship wakes approximately form a triangle region on the sea surface, and they differ from the background sea in a wave pattern, wave propagation direction and velocity, and fluid particle orbital motion. The differences are observed by along-track interferometric synthetic aperture radar (ATI-SAR) systems, and can be properly measured by the ATI techniques. In this paper, a detection method for near-ship wakes based on interferometric magnitude, phase and physical shape in ATI-SAR systems is proposed. The complex multi-look interferometric information for near-ship wakes is first utilized to detect potential pixels. Then, a cluster algorithm is designed based on the interferometric phase and spatial position characteristics of near-ship wakes. After clustering the detected pixels and performing image close operation, the near-ship wakes, which is the triangular region with a much larger physical area than those of common ships or other false alarms, can be identified. Finally, simulation results validate the effectiveness of the proposed method.     

Quadratic Stabilization of Switched Uncertain Linear Systems: A Convex Combination Approach

We consider quadratic stabilization for a class of switched systems which are composed of a finite set of continuoustime linear subsystems with norm bounded uncertainties. Under the assumption that there is no single quadratically stable subsystem, if a convex combination of subsystems is quadratically stable, then we propose a state-dependent switching law, based on the convex combination of subsystems, such that the entire switched linear system is quadratically stable. When the state information is not available, we extend the discussion to designing an output-dependent switching law by constructing a robust Luenberger observer for each subsystem.