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。     

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.     

内容管理在企业非结构化数据管理中的应用

内容管理在企业信息管理领域中已成为非结构化或半结构化的数字资源的采集、管理、利用和传递,并能有机集成到结构化数据的智能环境中的主要解决方案,从而使得企业内容管理更加完整有效;因此,笔者认为,内容管理系统在企业内容管理集成模型中的应用将是以非结构化信息为主的企业级内容信息系统建设的有效解决方案.     

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.     

Test frame updating in CPM testing of Prolog programs

Category Partition Method (CPM) is a general approach to specification-based program testing, where test frame reduction and refinement are two important issues. Test frame reduction is necessary since too many test frames may be produced, and test frame refinement is important since during CPM testing new information about test frame generation may be achieved and considered incrementally. Besides the information provided by testers or users, implementation related knowledge offers alternative information for reducing and refining CPM test frames. This paper explores the idea by proposing a call patterns semantics based test frame updating method for Prolog programs, in which a call patterns analysis is used to collect information about the way in which procedures are used in a program. The updated test frames will be represented as constraints. The effect of our test frame updating is two-fold. On one hand, it removes “uncared” data from the original set of test frames; on the other hand, it refines the test frames to which we should pay more attention. The first effect makes the input domain on which a procedure must be tested a subset of the procedure’s input domain, and the latter makes testers stand more chance to find out the faults that are more likely to show their presence in the use of the program under consideration. Our test frame updating method preserves the effectiveness of CPM testing with respect to the detection of faults we care. The test case generation from the updated set of test frames is also discussed. In order to show the applicability of our method an approximation call patterns semantics is proposed, and the test frame updating on the semantics is illustrated by an example.

FaceSeg: Automatic Face Segmentation for Real-Time Video

Segmenting human faces automatically is very important for face recognition and verification, security system, and computer vision. In this paper, we present an accurate segmentation system for cutting human faces out from video sequences in real-time. First, a learning based face detector is developed to rapidly find human faces. To speed up the detection process, a face rejection cascade is constructed to remove most of negative samples while retaining all the face samples. Then, we develop a coarse-to-fine segmentation approach to extract the faces based on a min-cut optimization. Finally, a new matting algorithm is proposed to estimate the alpha-matte based on an adaptive trimap generation method. Experimental results demonstrate the effectiveness and robustness of our proposed method that can compete with the well-known interactive methods in real-time.     

基于人工免疫的网络安全态势评估模型

本文将人工免疫原理应用到网络安全态势评估的研究中.通过对入侵检测模型中有关自体、非自体、抗原的形式化描述,建立了抗体细胞的演化机制、动态免疫记忆、免疫监视等免疫机制.依据人体免疫系统抗体浓度的变化与病原体入侵强度的对应关系,建立了网络安全态势实时定量计算模型.     

压缩应力下（Tb,Dy）Fe2磁致伸缩的研究

本文利用自制的磁致伸缩测量仪和“ｊｕｍｐ”效应测量仪研究了在一定压强了多晶（Ｔｂ、Ｄｙ）Ｆｅ２棒的磁致伸缩,发现加压时,在一定工艺条件下制作的（Ｔｂ、Ｄｙ）Ｆｅ２棒会有磁致伸缩的变化。卸载后经过热处理,磁致伸缩值在不加压时也会维持一个高值。