基于变点识别的区域河川径流量特征值变异研究

基于变点原理,运用最大似然比和西沃兹信息标准方法,对广东省4种径流量序列进行均值变点和方差变点的识别,研究存在变点的河川径流量序列、时间位置、空间分布及变点后的特征值变化状况,以揭示广东省河川径流量时空变异特点。结果发现:广东省河川年径流量和汛期径流量序列的一致性较好,而枯期径流量和最小月径流量序列的特征值变点具有普遍性,年均值明显增加,年际离散程度增大,时间位置主要为1972-1973年和1981年两个时间段。枯期径流量序列均值变点的典型地区主要为东江流域,方差变点的典型地区主要为北江流域、韩江流域、粤西地区和珠江三角洲;最小月径流序列主要为均值变点,典型地区有东江流域、韩江流域;而北江入珠江三角洲的河川径流量变异尤其典型,4种径流序列均存在均值变点和方差变点。     

基于传感器的维也里试纸颜色识别系统设计

以维也里试验为研究背景,针对维也里试验中人工识读试纸颜色精度低、自动化程度低的现状,提出了以传感器为核心的试纸颜色自动识别系统.主要介绍了系统的设计依据、工作原理和系统组成,着重论述了系统硬件和软件的设计方案,实现了系统的构建.经试验测试和应用表明,系统设计合理,可大大提高试验设备的自动化程度和试验中试纸颜色的识别精度,完全达到技术要求.     

Moorhens have an internal representation of their own eggs

How do birds recognize their own eggs? Do they have a stored template for their own egg characteristics, or do they use another mechanism? Intraspecific brood parasitism is considered to be an additional reproductive tactic where females can increase their own reproductive success. Because of the costs involved in rearing young that are not their own, it will pay females to detect and reject the eggs of a parasite, although it is not known how they do this. Here, we show experimentally that moorhens will cease laying in a nest when their first egg is replaced with another hen’s egg but not when it is replaced with their own egg taken from an earlier clutch. This provides good evidence that birds have an internal representation of their own eggs and use this in decisions about whether to reject foreign eggs.     

基于熵权-属性识别模型的地表水质量评价

利用熵权法并结合属性识别理论,建立了熵权-属性识别模型。采用地表水环境质量标准（GB3838—2002）作为依据,选用7个影响因子作为评价指标,利用熵权法确定各评价指标的权重以计算综合属性测度区间,应用置信度准则和评分准则对地表水质量进行属性识别。实例研究表明,该模型能有效地解决地表水质量评价的问题,评价模型采用熵权法确定权重,避免了权重确定中的主观性和随意性,保证了评价工作的客观性和准确性。     

天然气集输站泄漏监控系统研究

为克服目前天然气集输站站控系统存在的主要技术问题,探讨了建立泄漏监控安全系统的技术要求.该系统应用负压波检漏技术、模式识别技术和虚拟仪器技术,实现了.对天然气泄漏的信号检测、处理、传输和实时动态显示等.借助于这些技术开发的天然气泄漏监控系统,具有数据处理准确可靠,精度高,误报率低等特点.通过该系统,可以及时获取相关参数和信息,实现早期预警,降低天然气泄漏的事故风险.     

The Integration of a Genetic Programming-Based Feature Optimizer With Fisher Criterion and Pattern Recognition Techniques to Non-Intrusive Load Monitoring for Load Identification

Identification of electricity energy consumption on individual household appliances used in a smart house is the first important step for making the use and conservation of electricity energy more efficient. In the past, Non-Intrusive Load Monitoring (NILM) techniques, which are part of smart grid techniques realized to improve electricity energy usage efficiency, have been developed to identify individual appliances with avoiding installing many smart meters for appliances in a field. In this paper, a new NILM technique that integrates an efficient Genetic Programming (GP)-based feature optimizer with pattern recognition techniques is proposed to identify which appliance is being turned on or off. The proposed GP-based feature optimizer with Fisher criterion is used to generate a more efficient feature than original potential transient features extracted from captured transient response of household appliances through analysis of NILM. The new feature generated by GP is used by pattern recognition techniques as load identifiers for load identification. The load identifiers used and compared in this paper include k-Nearest-Neighbor Rule, Back-Propagation Artificial Neural Network, and Learning Vector Quantization. Experiments are conducted under different single-load and multiple-load operation circumstances at different actual experimental environments with small disturbances. As shown from the experimental results, the proposed is confirmed to be feasible and usable.     

污染治理设施市场化运营的特点及对策建议

对污染治理设施市场化运营进行了研究,对不同第三方运营模式进行了比较。针对不同特点的运营模式,提出了加大政策扶持,降低运营风险,健全监管机制,规范管理以及加快运营管理法规建设等建议,旨在使环保设施市场化运营体系走向规范化、市场化、专业化和社会化,为我国污染防治设施规范管理、加快运营的集约化发展提供了参考依据。     

遥感震害快速评估技术在汶川地震中的应用

2008年5月12日四川汶川8.0级大地震发生后,在地面交通严重受阻、通信中断的情况下,遥感技术成为了地震灾情获取、地震应急和震后快速评估的重要手段。提出了利用高分辨率遥感影像进行地震应急和震后快速评估的技术流程,该流程涉及到遥感影像的数据管理、快速校正、图像增强、震害信息提取、地震灾情快速评估和评估结果网络发布等关键技术。利用遥感震害识别和快速评估技术准确提取了汶川地震的震害信息,绘制的基于遥感数据的汶川地震烈度分布图与中国地震局公布的基于地面调查结果的地震烈度分布图非常接近,首次实现了在震害遥感影像获取后的2~6h内,提供准确的宏观灾情分布情况以及初步的地震损失评估结果,在汶川地震的灾情获取、地震应急和震后快速评估中发挥了重要的作用。     

支持向量机法在煤与瓦斯突出分析中的应用研究

通过分析采煤工作面煤与瓦斯涌出量与地质构造指标的对应关系,应用支持向量机(SVM)方法对煤与瓦斯涌出类型及涌出量进行分析。建立两类突出识别的SVM模型、多类型突出识别的H-SVMs模型以及预测瓦斯涌出量的支持向量回归模型。研究结果表明:SVM方法能够很好地对煤与瓦斯突出模式进行识别,所建立的采煤工作面瓦斯涌出量预测模型的精度高于应用BP神经网络预测精度;SVM理论基础严谨,决策函数结构简单,泛化能力强,并且决策函数中的法向量W可以反映突出模式识别的地质结构指标的权重。     

Schooling decisions in guppies (Poecilia reticulata) are based on familiarity rather than kin recognition by phenotype matching

Evidence from a number of freshwater species indicates that fish prefer to school with familiar individuals. Do they also choose to associate with kin? Our experiment tested this idea using the Trinidadian guppy, Poecilia reticulata, a species whose reproductive biology favours the association of kin groups. Juveniles reared together were able to recognise one another on the basis of either visual or chemical cues, but showed no preference for schooling with unfamiliar kin. We therefore conclude that any naturally occurring kin groups in this species will occur as a result of familiarity rather than as a consequence of kin recognition based on phenotype matching.