语音的线性预测分析原理与算法

介绍语音信号的线性预测分析原理,并详细分析用来求解线性预测正则方程的自相关法、Burg法、协方差法的原理和计算方法,并对算法进行了比较.     

早期中国宇宙观特征

早期中国宇宙观有三个特征一是时空的“循环变易观”,后来儒道分别在此基础上发展出“中庸”和“反者道之动”的特色思维;二是天人相通的政治—宗教色彩,使得非宗教的儒学担当起中国人精神家园的实际功用,知识分子也以积极入仕为己任;三是“天事必象”的特征,奠定了中国古代非形而上学的文化偏好。我们欲寻中国文化之源,应给予夏商周三代以足够的重视。     

Glucometers-need for external quality control

We performed a pilot accuracy study on glucometers from three sources: “Advantage” from Boehringer Mannheim (A), “Glucometer^* 4” from Bayer (B) and “One Touch Basic” from Life Scan (C) and compared these results with the results on autoanalyzers-Dimension RxL (1) and Hitachi 704 (2). Each glucometer was tested with venous blood in duplicate, from three different groups of 20 patients each, at random, on three different days, in our outpatient phlebotomy section. The rest of the sample was collected into heparinized tubes & the plasma separated within 15 minutes of sample collection & analyzed on both the analyzers in duplicates. The data were analyzed for accuracy by tabulating the number and percentage of test values that vary from the analyzer (reference) method by 10% or less, by 10% to 20%, or greater than 20% and the results tabulated on the Accuracy Study Table. This being a pilot study and the numbers being small, it may be suggested from the Accuracy Study Table alone, that the results of glucose in whole blood done with glucometer (A) were comparable with that of plasma values without applying any factor; whereas the results with glucometers (B) & (C) need to be divided by 1.11 to be comparable with plasma results; statistically though, results with glucometer (C) were comparable with or without factor. Patients using glucometers need to be alerted about the variance in their glucose results when compared to laboratory results, more clearly by the respective companies in their product inserts. An external quality control material that is glucometer method specific is needed, so that the Clinical Biochemistry laboratory in any hospital setup can more effectively monitor the performance of the glucometers in the wards periodically.     

房地产营业税征管预测信息系统探讨——以马鞍山市为例

本文以科学发展观为指导,以考察我国房地产业发展趋势为基础,以构建房地产营业税征管信息系统为目标,运用灰色理论,通过相关性分析,确定在预测周期中影响房地产营业税税收的主要指标,得出房地产营业税税收预测值,并进一步得出合理开展税收管理的科学结论.     

中国沿海港口吞吐量预测模型研究

摘要：本研究结合现有港口吞吐量预测理论和我国港口的实际情况,通过分析我国沿海港口货物构成及影响,建立了中国沿海港口聚类-VAR分货类吞吐量预测模型,提高了我国沿海港口吞吐量预测的精度和准确度,从而为我国沿海港口投资规划等提供更可靠的参考依据。本模型主要特点有：一是首次从港口吞吐量货物构成的角度来分析和预测我国沿海港口吞吐量,解决现有文献主要采用港口吞吐量或选取GDP等少量宏观经济指标时间序列变量进行预测而导致信息挖掘不充分的弊端;二是在考虑沿海港口主要货物吞吐量之间的内在协调关系的前提下,借助聚类分析思想,对我国港口分货类吞吐量指标进行处理,最大限度的保留了信息,保证模型的预测准确性;三是本模型方便灵活,可以推广到单个港口或港口群吞吐量预测上,甚至可以推广到时间序列指标较多情况下的更广泛的预测问题。     

基于BP神经网络的企业人力资源配置模型研究

通过对企业人力资源特点的分析与比较,指出了决定企业人力资源配置和影响人员流动的若干因素.在此基础上,运用人工神经网络理论建立了对应的人员流动预测模型,同时利用Matlab软件对模型进行了仿真分析.     

基础工程施工项目的成本管理初探

结合基础工程施工项目的成本构成,从成本预测、成本控制、降低成本的有效途径三个方面阐述了如何进行基础工程施工项目的成本管理工作.     

Robust prediction of hourly PM2.5 from meteorological data using LightGBM

Retrieving historical fine particulate matter (PM_2.5) data is key for evaluating the long-term impacts of PM_2.5 on the environment, human health and climate change. Satellite-based aerosol optical depth has been used to estimate PM_2.5, but estimations have largely been undermined by massive missing values, low sampling frequency and weak predictive capability. Here, using a novel feature engineering approach to incorporate spatial effects from meteorological data, we developed a robust LightGBM model that predicts PM_2.5 at an unprecedented predictive capacity on hourly (R² = 0.75), daily (R² = 0.84), monthly (R² = 0.88) and annual (R² = 0.87) timescales. By taking advantage of spatial features, our model can also construct hourly gridded networks of PM_2.5. This capability would be further enhanced if meteorological observations from regional stations were incorporated. Our results show that this model has great potential in reconstructing historical PM_2.5 datasets and real-time gridded networks at high spatial-temporal resolutions. The resulting datasets can be assimilated into models to produce long-term re-analysis that incorporates interactions between aerosols and physical processes.     

基于CLUE-S模型框架的土地可持续利用情景预测——以阳泉市郊区为例

土地持续利用是区域可持续发展的核心内容与重要基础,提高土地利用效率、优化土地资源配置是推动区域经济可持续发展的必要手段。土地利用规划在推动土地资源可持续利用方面发挥了重要作用。在现有土地利用数据的基础上,充分整合自然和社会因素的影响,全面考虑各土地利用类型的供需平衡关系,合理预测未来土地利用变化情景,特别是建立一个开放性的研究框架,是土地利用研究和规划实践中亟待解决的问题。本文以阳泉市郊区为例,提出简化的CLUE-S模型研究框架,探讨研究区不同发展路径下的土地利用变化情景,以期为土地利用规划提供决策依据。研究结果表明,在土地利用规划中,耕地优先原则、生态保护原则、效益提高原则依次为发展路径的先后选择顺序。较＂生态涵养＂及＂超速掠夺＂路径,＂均衡发展＂路径安排耕地18131.57hm2,安排建设用地14069.40hm2,可以满足阳泉市郊区在未来15年内粮食自给率上升27个百分点,国内生产总值年均增幅达到13%的用地需求,为最适宜发展情景。     

交通数据中频繁轨迹模式挖掘

在当今类似车载系统中常有需要我们在物体时空运动数据库中进行数据挖掘,然后根据得到的规则预测物体的运动趋势的需求。至今,对于由时空两方面描述的数据进行挖掘的研究还没有特别明确的方法。提出MINE_ALLFP算法来发现所有的频繁集。为了增加研究的可行性,去掉位置信息的连续性,提出将整个大空间分割为若干个小区域的方法,这里还引进一种好的剪枝算法。