电影数字节目编目规则研究

在数字技术快速发展的新形势下如何对电影节目进行存储、管理、开发和应用已经成为电影业界面临的新课题，编制符合电影特点的编目规则势在必行。本文在综合研究DC元数据标准、广播电视音像资料编目规范、国家图书馆视音频资源元数据规范等相关标准和规范的基础上。结合电影的内外部特征，以电影画面和声音为研究对象，提出了电影元数据层次结构和电影元数据元素，细化电影片种、类型、题材及责任方式等规范词表，并针对不同的电影片种提出了不同的层次切分方法。     

水中目标辐射噪声调制信息提取方法研究

讨论了应用小波分析从辐射噪声中提取调制信息的方法。首先利用多尺度分析方法将噪声信号在不同层次的空间上进行分解，实现调制信号与辐射噪声的分离；然后，利用小波变换提取其包络，求取功率谱得到调制信息．在此基础上，对实测辐射噪声数据进行仿真研究．结果表明，该方法用于噪声中调制信息检测是一种有效的手段．     

基于AHP层次分析法的儿童电子绘本角色面孔绘图方式研究

目的 通过解析学龄前儿童对不同绘图方式的视觉认知特点,总结主流绘图方式的特征,为优化绘本角色面孔设计提供参考。方法 记录被试对象加工不同绘图方式角色面孔时的眼动数据,分析数据并筛选眼动指标,结合层次分析法提炼绘本设计准则,构建层次结构模型。通过模糊矩阵进行层次权重计算,计算各级层次准则权重值。结果 提炼电子绘本角色面孔的设计准则,将9项眼动指标作为子准则评定系数引入层次模型,进行权重计算,获知儿童对设计准则中绘图方式的偏向次序,得到引导性与吸引性的排序结果一致,易记性排序截然相反,继而总结出基于引导性、易记性、吸引性的绘本角色设计方法。结论 基于层次分析法的学龄前儿童电子绘本角色面孔研究以客观权重解析了儿童对不同绘图方式的视觉加工特征,总结出3种设计准则中绘图方式与儿童的绘本阅读效率、阅读兴趣间的相互影响,为后续设计主题性绘本提供了一定的参考,从而实现绘本对学龄前儿童的教育功能。     

生物医药材料评价指标的组合赋权模型研究

构建评价指标的层次结构，运用层次分析法对评价指标进行主观赋权；利用评价指标本身的数据信息，运用熵法进行客观赋权。采用乘法合成法将二者结合建立主、客观组合赋权模型。以髋关节手术植入金属材料的选择为例，运用该组合赋权模型得到了10种候选材料的9种评价指标的权重，并用TOPSIS进行综合评价。评价结果表明，最佳髋关节手术植入材料为Ti-6A1-4V，与实践一致．验证了所得髋关节手术植入材料9种评价指标权重的合理性和可靠性，说明该模型是生物医学材料评价指标权重确定的一种有效、可行方法．     

卫星军事应用系统作战效能评估的网络层次分析法研究

根据卫星军事应用系统的特点研究了基于网络层次分析法的效能评估方法．确立了效能评价的准则，给出了影响其作战效能的指标集，建立了网络层次分析法控制层和网络层模型，并且利用计算极限超矩阵的方法对单个准则下各方案的作战效能进行排序．最后，通过对单个准则下的排序向量进行加权求和获得卫星军事应用系统作战效能的排序向量．     

数据融合在机械故障诊断中的应用研究

在机械故障诊断中引人了数据融合技术，并研究了多传感器数据融合的层次、模型。在实际的机械故障诊断应用中，使用了不同数据融合的层次和模型。对实例的分析表明，数据融合在机械设备故障诊断中是一种非常有效的方法，并有广阔的应用前景。     

无网点层次印刷工艺

目前，无网点层次印刷，目前有三种方式即：珂罗版印刷、木刻水印印刷、丝网版层次印刷。     

佛山东平大桥静动力分层次有限元模型修正研究

提出一种适用于大型桥梁结构联合静动力的分层次有限元模型修正方法，并在佛山东平大桥成桥静载试验和模态试验据的基础上，借助于ANSYS软件中的优化设计平台对该桥进行了静动力分层次有限元模型修正，结果表明该方式物理概念清晰，能充分利用静动力试验信息，减小优化规模．修正后的有限元模型的静力特性和动力特性与试验结果吻合良好，建立了该桥结构健康监测与安全评估的基准有限元模型。     

DDIS：一种新的支持快速相似检索的高维索引结构

基于内容的图像检索是一种典型的相似检索问题，在海量高维的数据集中进行相似匹配，一般认为距离计算费用很高。因此，需要建立有效的索引结构，以减少每个查询中的距离计算次数。为此，针对K最近邻查询（KNN）算法．提出了一种新的高维空间数据索引方法——层次距离索引（DepthDistanceIn—dexStructure，DDIS）。详细讨论了这种索引结构的建立与检索等问题，并给出了相应的算法，实验结果显示了这种索引技术的有效性。     

编程实现局域网内可靠传输文件的方法研究

针对在开发船舶动力系统分布式设计环境过程中遇到的文件传输问题，讨论了分别基于Socket技术和.NET Reinoting技术的编程实现方法．通过比较发现，后者具有编程简单、使用可靠等方面的明显优势．另外，通过实验方式确定了传送过程中数据块大小的选择，并时文件加密解密的问题采用了加入随机数据的方式进行解决．     

Hierarchical prediction structure for subimage coding and multithreaded parallel implementation in integral imaging

We are concerned with the coding of subimage-transformed elemental images to solve the problems of data transmission and storage in three-dimensional (3D) integral imaging in this paper. First, we use the subimage transform for preprocessing of the elemental image array (EIA). Because of the similarity of correlation distributions between the subimage array (SIA) and multiview video, we present a hierarchical prediction structure for SIA coding based on the hierarchical B picture (HBP) structure for multiview video coding. Moreover, we design a multithreaded parallel implementation for the proposed structure according to inter-row prediction dependencies. Experiments are performed on both EIAs and SIAs. The results show that employing the same coding strategy, the proposed parallel implemented HBP scheme achieves not only higher image quality and better 3D effect but also lower coding delay at low bit rates compared with the previously reported Hilbert-curve-based scheme.     

基于流形正则化的批量分层编码极限学习机

针对极限学习机在处理高维数据时存在内存能耗大、分类准确率低、泛化性差等问题,提出了一种批量分层编码极限学习机算法。首先通过对数据集分批处理,以减小数据维度,降低输入复杂性;然后采用多层自动编码器结构对各批次数据进行无监督编码,以实现深层特征提取;最后利用流形正则化思想构建含有继承因子的流形分类器,以保持数据的完整性,提高算法的泛化性能。实验结果表明,该方法实现简单,在NORB,MNIST和USPS数据集上的分类准确率分别可以达到92.16%、99.35%和98.86%,与其它极限学习机算法对比,在降低计算复杂度和减少CPU内存消耗上具有较明显的优势。     

Cascadic meshfree method for the elliptic Monge–Ampère equation

The elliptic Monge–Ampère equation is a fully nonlinear partial differential equation, which originated in geometric surface theory and has been widely applied in dynamic meteorology, elasticity, geometric optics, image processing and others. The numerical solution of the elliptic Monge–Ampère equation has been a subject of increasing interest recently. In this paper, we design a cascadic algorithm which is meshfree. We first generate hierarchical scattered data sets. Then on each successive refinement levels, the Monge–Ampère equation can be solved by Kansa's method. We call this method as cascadic meshfree method (CMF). Different from cascadic multigrid method, CMF avoids tedious interpolation and is more easy for implementation and coding. Finally, numerical experiments confirm the efficiency and robustness of CMF method.     

Modelling the hierarchical structure of road crash data--application to severity analysis

Road crashes have an unquestionably hierarchical crash-car-occupant structure. Multilevel models are used with correlated data, but their application to crash data can be difficult. The number of sub-clusters per cluster is small, with less than two cars per crash and less than two occupants per car, whereas the number of clusters can be high, with several hundred/thousand crashes. Application of the Monte-Carlo method on observed and simulated French road crash data between 1996 and 2000 allows comparing estimations produced by multilevel logistic models (MLM), Generalized Estimating Equation models (GEE) and logistic models (LM). On the strength of a bias study, MLM is the most efficient model while both GEE and LM underestimate parameters and confidence intervals. MLM is used as a marginal model and not as a random-effect model, i.e. only fixed effects are taken into account. Random effects allow adjusting risks on the hierarchical structure, conferring an interpretative advantage to MLM over GEE. Nevertheless, great care is needed for data coding and quite a high number of crashes are necessary in order to avoid problems and errors with estimates and estimate processes. On balance, MLM must be used when the number of vehicles per crash or the number of occupants per vehicle is high, when the LM results are questionable because they are not in line with the literature or finally when the p-values associated to risk measures are close to 5%. In other cases, LM remains a practical analytical tool for modelling crash data.     

波及其句法描述

本文系统的分析了波的结构特征，它不仅包含有波元的升降等特性，而且还包含有波元的凹凸等形状特性的以及波的分级结构，并给出了相应的句法描述。通过对ＳＴ－Ｔ波的分析识别，验证了其有效性。     

Monitoring of Multiple Binary Data Streams using a Hierarchical Model Structure

Multiple streams of binary data occur commonly in practice. In this paper, we propose a hierarchical statistical model to describe multi‐stream binary data that demonstrate over‐dispersion. In such a model, a group of binary streams in a multi‐stream dataset is modeled by a beta‐binominal hierarchical mixture distribution. Using this hierarchical model structure, a cumulative sum (CUSUM) chart based on the log‐likelihood ratio is developed to monitor all the data streams simultaneously. The performance of the CUSUM chart is investigated and compared to conventional monitoring schemes through numerical studies and a real‐world dataset. It is shown that the CUSUM method using the hierarchical model is effective and advantageous over the conventional methods. Copyright © 2015 John Wiley & Sons, Ltd.     

Adaptive analysis of 3D cavity flow using hierarchical mesh

In this paper, we present an ultra-high-speed adaptive meshing using a hierarchical method, which has been often used in the computer graphics field. If the hierarchical mesh is used, meshes can be changed very quickly. We have applied this meshing successfully to the adaptive analysis of 3D cavity flow, interpolating the values (flow velocity, pressure or error) at the nodes after re-meshing from those before re-meshing without reconstruction of the hierarchical data structure.     

基于位平面自适应算术编码的小波图像压缩技术

介绍了一种基于位平面上二进制算术编码的小波图像压缩技术。把算术编码方法应用于位平面层次,根据数据的重要性对静止图像经过小波变换以后的量化系数在相应的位平面的数据位进行高效的自适应压缩编码,有效地解决了难以进行概率统计的信源的编码问题。压缩效率高于其他编码方法。     

Is the TMPM-ICD9 revolution in trauma risk-adjustment compatible with imperfect administrative coding?

Background

TMPM-ICD9 is the latest injury-severity measure based on empirical estimation from ICD-9-CM codes. It is candidate to replace expert-based AIS measures worldwide because of easier accessibility and better predictive performances. In Italy and other countries administrative ICD coding is generally less complete than dedicated AIS coding. We attempted to ascertain how this affects TMPM performances.

Methods

Discrimination (c statistics) and calibration (calibration curves, Akaike's criterion) of hierarchical logistic regression models for hospital mortality comprising TMPM or ISS were compared using trauma-registry data on 3570 patients of years 2007–2009. The completeness of AIS vs. ICD-9-CM coding was also investigated through the ratio of the respective numbers of codes per patient. Model discrimination was further analyzed after stratification according to the above ratio (>1 and ≤1).

Results

The models with TMPM showed worse performances. The differences, concerned calibration (graphical evidence) in univariate models and discrimination (−1.2% of area under the ROC curve, p < 0.05) in models completed with age, gender, mechanism of injury, motor GCS and systolic pressure. In parallel, ICD coding was less complete than AIS, as expected: 68% of patients had a ratio >1. The discrimination of TMPM vs. ISS models improved when the ratio changed from >1 to ≤1.

Conclusions

The predictive performances of TMPM-ICD9 vs. ISS were lower than in the previous studies; the sub-optimal quality of ICD coding was a main cause. Imperfect administrative coding may hence hamper the TMPM-ICD9 revolution, although in our setting the negligible differences and the ready availability of administrative data may still give reason for adopting TMPM-ICD9.     

Is the TMPM-ICD9 revolution in trauma risk-adjustment compatible with imperfect administrative coding?

BackgroundTMPM-ICD9 is the latest injury-severity measure based on empirical estimation from ICD-9-CM codes. It is candidate to replace expert-based AIS measures worldwide because of easier accessibility and better predictive performances. In Italy and other countries administrative ICD coding is generally less complete than dedicated AIS coding. We attempted to ascertain how this affects TMPM performances.MethodsDiscrimination (c statistics) and calibration (calibration curves, Akaike's criterion) of hierarchical logistic regression models for hospital mortality comprising TMPM or ISS were compared using trauma-registry data on 3570 patients of years 2007–2009. The completeness of AIS vs. ICD-9-CM coding was also investigated through the ratio of the respective numbers of codes per patient. Model discrimination was further analyzed after stratification according to the above ratio (>1 and ≤1).ResultsThe models with TMPM showed worse performances. The differences, concerned calibration (graphical evidence) in univariate models and discrimination (−1.2% of area under the ROC curve, p < 0.05) in models completed with age, gender, mechanism of injury, motor GCS and systolic pressure. In parallel, ICD coding was less complete than AIS, as expected: 68% of patients had a ratio >1. The discrimination of TMPM vs. ISS models improved when the ratio changed from >1 to ≤1.ConclusionsThe predictive performances of TMPM-ICD9 vs. ISS were lower than in the previous studies; the sub-optimal quality of ICD coding was a main cause. Imperfect administrative coding may hence hamper the TMPM-ICD9 revolution, although in our setting the negligible differences and the ready availability of administrative data may still give reason for adopting TMPM-ICD9.