Occlusion cues for image scene layering

To bring computer vision closer to human vision, we attempt to enable computer to understand the occlusion relationship in an image. In this paper, we propose five low dimensional region-based occlusion cues inspired by the human perception of occlusion. These cues are semantic cue, position cue, compactness cue, shared boundary cue and junction cue. We apply these cues to predict the region-wise occlusion relationship in an image and infer the layer sequence of the image scene. A preference function, trained with samples consisting of these cues, is defined to predict the occlusion relationship in an image. Then we put all the occlusion predictions into the layering algorithm to infer the layer sequence of the image scene.The experiments on rural, artificial and outdoor scene datasets show the effectiveness of our method for occlusion relationship prediction and image scene layering.     

Automated classification of touching or overlapping M-FISH chromosomes by region fusion and homolog pairing

Automated separation and classification of touching or overlapping chromosomes in a metaphase image is a critical step in computer-aided chromosome analysis. The advent of the multiplex fluorescence in situ hybridization (M-FISH) technology enables multi-spectral chromosome image with rich spectral information and DAPI image with abundant texture information. This paper presents a fusion classification scheme to improve the segmentation of overlapping and touching chromosomes. First, the texture and spectral information is fused to partition the chromosome cluster into a series of homologous regions. Then a graph-theoretical classification and pairing method is proposed to resolve any remaining ambiguity of the aforementioned separation process. Experiment results demonstrate that the proposed method outperforms conventional multi-spectral classification methods in touching and overlapping chromosome separation.     

锦屏二级水电站3#引水隧洞有盖重防渗固结灌浆试验

本文介绍了锦屏二级水电站3#引水隧洞有盖重防渗固结灌浆试验的施工方法和试验参数。通过防渗固结灌浆试验,总结出在灌浆施工中应及时采集的相关信息和采取的施工工艺,既保证了施工质量又保证了施工速度     

An empirical molecular docking study of a di-iron binding protein with iron ions

Various molecular docking software packages are available for modeling interactions between small molecules and proteins.However,there have been few reports of modeling the interactions between metal ions and metalloproteins.In this study,the AutoDock package was employed to example docking into a di-iron binding protein,bacterioferritin.Each binding site of this protein was tested for docking with iron ions.Blind docking experiments showed that all docking conformations converged into two clusters,one for internal iron binding in sites within the metalloprotein and the other for external iron binding on the protein surface.Local docking experiments showed that there were significant differences between two internal iron binding sites.Docking at one site gave a reasonable root-mean-square deviation(RMSD) distribution with relatively low binding energy.Analysis of the binding mode quality for this site revealed that more than half of the docking conformations were categorized as having good binding geometry,while no good conformations were found for the other site.Further investigations indicated that coordinating water molecules contributed to the stability of binding geometries.This study provides an empirical approach towards the study of molecular docking in metalloproteins.     

偏岩水电站断轴事故分析

偏岩水电站在运行过程中由于轴承温度偏高未得到及时正确处理,仅投运8 000 h左右就造成了发电机断轴事故。通过对断轴事故的分析,找出了事故发生的主要原因。图1幅,表1个。     

基于SSH的住宅小区电子商务平台方案设计

为了促进住宅小区电子商务平台建设,提出一种基于J2EE和SSH架构的解决方案,引入了JQuery、AJAX等前台开发技术,以提高开发效率和提升客户体验,同时采用基于角色的访问控制、日志器等安全技术,充分保证系统安全性。     

利用Moodle构建高校计算机基础教育-CFC的网络教学平台

CFC框架是进行计算机应用教育的主要依据,但符合各高校实际需求的CFC网络课程体系十分缺乏.本文主要论述了实施CFC的所面临的核心问题、利用Moodle搭建CFC网络课程体系的一般方法与模式、以及对如何更好地发挥Moodle网络教学功能提出了几点建议.     

浅淡数据挖掘技术及其相关问题解析

数据挖掘(DataMining,简称DM),又称数据库中的知识发现(Knowledge Discovery in Database,简称:KDD),是指从大型数据库或数据仓库中提取隐含的、未知的、特殊的及有潜在应用价值的信息或模式.本文在了解数据挖掘的定义和市场前景的基础上,结合当今企业对数据挖掘技术的重视和数据挖掘技术对企业发展带来的巨大效益的现状,从众多发面提出和分析了数据挖掘技术在发展和应用过程中面临的主要问题.     

Caustic spot light for rendering caustics

It is difficult to render caustic patterns at interactive frame rates. This paper introduces new rendering techniques that relax current constraints, allowing scenes with moving, non-rigid scene objects, rigid caustic objects, and rotating directional light sources to be rendered in real-time with GPU hardware acceleration. Because our algorithm estimates the intensity and the direction of caustic light, rendering of non-Lambertian surfaces is supported. Previous caustics algorithms have separated the problem into pre-rendering and rendering phases, storing intermediate results in data structures such as photon maps or radiance transfer functions. Our central idea is to use specially parameterized spot lights, called caustic spot lights (CSLs), as the intermediate representation of a two-phase algorithm. CSLs are flexible enough that a small number can approximate the light leaving a caustic object, yet simple enough that they can be efficiently evaluated by a pixel shader program during accelerated rendering.We extend our approach to support changing lighting direction by further dividing the pre-rendering phase into per-scene and per-frame components: the per-frame phase computes frame-specific CSLs by interpolating between CSLs that were pre-computed with differing light directions.     

微波物位计测量干扰因素的研究

随着高精度微波物位计在储罐系统中的大量使用,其在实际工况中的测量精度得到了越来越多的关注.从频率源、天线形式、微波的测量技术以及信号的检测和处理算法等几个方面介绍了微波物位计的设计要素.说明了影响微波物位计测量的因素主要体现在安装方式和安装位置、信号的强度以及测量介质气相状况等.详细叙述了实际工作中采用较多的微波物位计的测量值修正方法,对广大工程技术人员的选型、安装和调试,乃至新产品研发具有一定的借鉴和参考作用.