GOS+MU:一种查询对象选择新方法

在分析单一MU(Most Uncertainty)采样缺陷的基础上,提出一种"全局最优搜寻"方法 GOS(Global Optimal Search),并结合MU共同完成查询选择。GOS+MU方法中,GOS着眼全局寻找目标,在应用环境能提供的训练样本数量有限、分类器受训不充分时,该方法选择的对象学习价值高,能快速推进分类器学习进程;MU则能够在GOS采样失效情形下,利用分类器当前训练成果,选择查询不确定性最强的样本补充训练集。通过对网络商品的用户评论进行分类仿真,并比较其他采样学习方法的效果,证明了GOS+MU方法在压缩学习成本、提高训练效率方面的有效性。     

非电量微机采集系统

实现水电厂电量快速微机巡回检测，温度采集较其它信号更为困难，本文着重讨论温度信号转换及与微机系统的连接。且介绍某水电厂微机控系统中非电量检测装置的硬件结构和软件编制。     

相关双取样电路在降低CCD噪声中的应用

CCD器件已经广泛地应用于各个研究领域中 ,对其信号的具体处理方法是各种各样的。我们针对所研究的对象采取了一定的降低噪声的措施 ,取得了较好的结果 ,本文将对此进行阐述     

提高检测数据准确性 促进选钼生产稳定高效

本文从6个方面对选钼2个作业段的取样方式进行了校验,通过对检测数据的比对分析,找出了选钼2个作业段数据存在矛盾的原因,并针对原因采取了有效的措施,保证了检测数据的准确性,促进了选钼生产的稳定高效。     

采样定理的内在不自洽性和工程应用的局限性——采样定理和奈奎斯特准则研究·上篇

推导证明了作为通信理论基石之一的采样定理及其公式存在着两个矛盾：内在不自洽性，即采样定理与其公式的推导前提条件相矛盾；采样定理在工程实际应用时的严重局限性     

裂解气全分析方法研究

针对目前国内裂解气全分析现状，综合各家所采用的方法，提出了切实可行的裂解气全分析方法，解决了裂解气采样、分析方面的困难。     

Importance Sampling Microfacet‐Based BSDFs using the Distribution of Visible Normals

We present a new approach to microfacet‐based BSDF importance sampling. Previously proposed sampling schemes for popular analytic BSDFs typically begin by choosing a microfacet normal at random in a way that is independent of direction of incident light. To sample the full BSDF using these normals requires arbitrarily large sample weights leading to possible fireflies. Additionally, at grazing angles nearly half of the sampled normals face away from the incident ray and must be rejected, making the sampling scheme inefficient. Instead, we show how to use the distribution of visible normals directly to generate samples, where normals are weighted by their projection factor toward the incident direction. In this way, no backfacing normals are sampled and the sample weights contain only the shadowing factor of outgoing rays (and additionally a Fresnel term for conductors). Arbitrarily large sample weights are avoided and variance is reduced. Since the BSDF depends on the microsurface model, we describe our sampling algorithm for two models: the V‐cavity and the Smith models. We demonstrate results for both isotropic and anisotropic rough conductors and dielectrics with Beckmann and GGX distributions.     

关于图像反走样的理论及应用

图像反走样是用于提升图像质量的一个重要环节。导致图像失真的主要原因是由于采样频率过低及重建过滤器的质量低下。在实时渲染的应用中,随着硬件的发展及渲染架构的改变,主流反走样技术逐渐从硬件加速模式发展到后处理模式。纯后处理算法由于缺失子像素信息,无法生成高质量的反走样图像。针对这一问题,混合反走样在保留了后处理反走样效率的同时,通过结合多重采样能提供更精确的边缘处理,并保证图像在时序上的稳定性。     

Aerosols sampling using a new cryogenic instrument

A new cryogenic instrument was designed for the trapping of aerosols such as cigarette mainstream smoke at low temperature. The technique enabled the trapping of the mainstream smoke of a single cigarette and the particulate and vapor phases were trapped simultaneously. 2R4F reference cigarettes were smoked under International Standard Organization (ISO) regime and trapped at low temperature using the cryogenic instrument. After trapping, the mainstream smoke of the 2R4F reference cigarette was diluted with a solvent and selected smoke components could be quantified using gas-mass spectrometry (GCMS) and high-performance liquid chromatography (HPLC). The capability of the instrument for trapping the mainstream smoke was demonstrated. The feasibility of the procedure for the detection and the quantification of a large range of smoke components including carbonyls, alkaloids and organic volatile compounds (VOC) in the mainstream of a single cigarette was also shown.     

变压吸附的实验研究

利用变压吸附装置，采用5A分子筛及硅胶两种吸附剂，对CO2与N2混合气体，及CO2与O2混合氧化分别进行实验研究，测出了不同操作条件下的穿透曲线，描述了吸附机理，分析了穿透曲线的影响因素。