基于PPI的二元积累PHT目标检测器

Hough变换只能用于常速直线运动目标的检测与跟踪,当目标有加速度时,检测与跟踪效果非常差。针对此问题,提出了一种PPI图像域基于二元积累极坐标Hough变换（PHT）的目标检测与航迹处理方法,该方法可用于目标的变速直线运动。首先分析了PHT的原理,然后给出了二元积累PHT检测器的结构并分析了该检测器的性能,最后用仿真实例对该算法进行了验证。理论分析和仿真结果表明,二元积累PHT算法可以有效提高微弱目标在低信噪比背景中的检测性能。     

基于线性光谱混合模型(LSMM)的两种不同端元值选取方法应用与评价——以广州市为例

通过分别采用纯像元指数(PPI)和手动选取端元这两种不同的方法获得了2003年广州市区的植被、水体和不透水层3种端元,然后利用线性波谱分离法得到各个端元的丰度图像和均方根误差图像,从而获得广州市老八区不透水层的分量图。另外,还对比分析了基于线性光谱混合模型（LSMM）两种终端单元的选取方法的优缺点,并从定性的角度对所得结果进行精度评价。结果显示:基于线性光谱混合模型（LSMM）的方法获得广州市老八区不透水层的分量图是可行而有效的;手动选取端元的方法比纯像元指数（PPI）能够得到更高精度的分量图。     

Minimum required angular resolution of smartphone displays for the human visual system

There has been a rapid increase in the resolution of small‐sized and medium‐sized displays. This study determines an upper discernible limit for display resolution. A range of resolutions varying from 254–1016 PPI were evaluated using simulated display by 49 subjects at 300 mm viewing distance. The results of the study conclusively show that users can discriminate between 339 and 508 PPI and in many cases between 508 and 1016 PPI.     

基于西门子PLC的群控电梯的研究与实现

基于三部六层群控电梯模型,首先建立了群控决策的数学模型,然后详细阐述了基于PPI网络的自定义的消息帧的内容格式和相关规范,规划了4台PLC的通信缓冲区地址,最后给出了主站和从站的软件实现算法。     

基于蛋白质网络的模块动态特性挖掘研究

目前对于蛋白质网络的多数分析方法都是基于静态网络框架提出的,然而,事实上蛋白质之间的相互作用关系是随着时间变化的,具有明显的动态特性。从动态角度出发,基于蛋白质交互网络,结合时间序列的基因表达数据,揭示蛋白质功能模块变化的动态特性,提出了一种动态网络的构建方法及在动态快照网络中挖掘功能模块的算法,采用模糊匹配的方法揭示了蛋白质功能模块的变化过程。实验证明,该方法能够有效地揭示蛋白质功能模块的动态变化特性。     

Development of a partnering performance index (PPI) for construction projects in Hong Kong: a Delphi study

Over the past decade, research studies on benefits, critical success factors, difficulties, process, conceptual and theoretical models of construction partnering have been ubiquitous in the construction management discipline. In fact, there is adequate evidence that an increasing number of client organizations are adopting a partnering approach to undertake their building and construction projects both locally and worldwide during the last decade. With the perceived benefits that partnering brings about, research into Key Performance Indicators (KPIs) to evaluate the success of partnering projects in construction becomes vital as it can help set a benchmark for measuring the performance level of partnering projects. However, although there are some related studies and papers on this research area, few, if any, comprehensive and systematic studies focus on developing a comprehensive, objective, reliable and practical performance evaluation model for partnering projects. A model has been developed using the Delphi survey technique to objectively measure the performance of partnering projects in Hong Kong based on a consolidated KPIs' conceptual framework previously developed for partnering projects. Four rounds of Delphi questionnaire survey were conducted with 31 construction experts in Hong Kong. The results reveal that the top seven weighted KPIs to evaluate the success of partnering projects in Hong Kong were: (1) time performance; (2) cost performance; (3) top management commitment; (4) trust and respect; (5) quality performance; (6) effective communications; and (7) innovation and improvement. A statistically significant consensus on the top seven weighted KPIs was also obtained. Finally, a composite Partnering Performance Index (PPI) for partnering projects in Hong Kong was derived to provide an all‐round assessment of partnering performance. Different partnering projects can now be assessed on the same basis for benchmarking purposes. Construction senior executives and project managers can thus use the Index to measure, evaluate and improve the performance of their partnering projects to strive for construction excellence. Although the PPI was developed locally in Hong Kong, the research method could be replicated in other parts of the world to produce similar indices for international comparison. Such an extension would aid the understanding of managing partnering projects across different geographic locations.     

软件化雷达P显实时坐标变换与实现

软件化雷达PPI光栅显示需完成极坐标测量数据向直角坐标的实时转换,而传统的利用简单数学公式直接转换的方式存在映射非均匀和运算量大等难题。基于整体映射和一一映射等不同逆映射方法,研究并提出了一种改进的一一映射新方案。新方法可有效解决量化漏点和区域重叠的问题,显著提高了映射查找表的形成效率,保证了PPI显示效果和实时性。最后,给出了新方法的具体实现流程,比较了与现有方法的效果,证明了新方法的有效性。     

基于蜂群和广度优先遍历的PPI网络聚类

蛋白质交互作用(PPI)网络聚类算法是研究和揭示蛋白质功能的主要方法之一。由于PPI网络的特性,传统算法不能有效聚类。文中提出一种基于蜂群和广度优先遍历的聚类算法。为避免噪声点对实验结果的干扰,在预处理阶段利用距离-密度算法确定聚类个数,剔除噪声点。然后利用结点网络综合特征值确定初始聚类中心,利用广度优先遍历搜索算法进行聚类。再采用改进的蜂群算法自动寻找最优合并阈值。最后用正确率和查全率对该算法进行性能评价并对算法中一些重要参数进行仿真分析,仿真结果表明该聚类算法有效提高PPI网络的聚类效果。     

不确定性PPI网络链接预测

蛋白质交互网络预测是后基因组时代生物学中很重要的研究内容。到目前为止,对蛋白质交互网络相互作用的预测都是假设相互作用是确定的。但是,蛋白质交互网络和其它的一些生物数据会因为实验检测方法的局限性而呈现出不确定性。提出了一种基于信息传播的不确定性PPI网络的链接预测算法。在每个顶点对上按其出现链接的概率定义了链接信息量,该算法将边上的链接信息量在图上以一定的概率来传播。利用标准数据集进行测试,实验结果表明,所提出的算法具有很好的准确率和良好的生物统计特性。     

Small Molecule Arranged Thermal Proximity Coaggregation (smarTPCA)—A Novel Approach to Characterize Protein–Protein Interactions in Living Cells by Similar Isothermal Dose–Responses

Chemical biology and the application of small molecules has proven to be a potent perturbation strategy, especially for the functional elucidation of proteins, their networks, and regulators. In recent years, the cellular thermal shift assay (CETSA) and its proteome-wide extension, thermal proteome profiling (TPP), have proven to be effective tools for identifying interactions of small molecules with their target proteins, as well as off-targets in living cells. Here, we asked the question whether isothermal dose–response (ITDR) CETSA can be exploited to characterize secondary effects downstream of the primary binding event, such as changes in post-translational modifications or protein–protein interactions (PPI). By applying ITDR-CETSA to MAPK14 kinase inhibitor treatment of living HL-60 cells, we found similar dose–responses for the direct inhibitor target and its known interaction partners MAPKAPK2 and MAPKAPK3. Extension of the dose–response similarity comparison to the proteome wide level using TPP with compound concentration range (TPP-CCR) revealed not only the known MAPK14 interaction partners MAPKAPK2 and MAPKAPK3, but also the potentially new intracellular interaction partner MYLK. We are confident that dose-dependent small molecule treatment in combination with ITDR-CETSA or TPP-CCR similarity assessment will not only allow discrimination between primary and secondary effects, but will also provide a novel method to study PPI in living cells without perturbation by protein modification, which we named “small molecule arranged thermal proximity coaggregation” (smarTPCA).