Differentially expressed genes selection via Laplacian regularized low-rank representation method

With the rapid development of DNA microarray technology and next-generation technology, a large number of genomic data were generated. So how to extract more differentially expressed genes from genomic data has become a matter of urgency. Because Low-Rank Representation (LRR) has the high performance in studying low-dimensional subspace structures, it has attracted a chunk of attention in recent years. However, it does not take into consideration the intrinsic geometric structures in data.In this paper, a new method named Laplacian regularized Low-Rank Representation (LLRR) has been proposed and applied on genomic data, which introduces graph regularization into LRR. By taking full advantages of the graph regularization, LLRR method can capture the intrinsic non-linear geometric information among the data. The LLRR method can decomposes the observation matrix of genomic data into a low rank matrix and a sparse matrix through solving an optimization problem. Because the significant genes can be considered as sparse signals, the differentially expressed genes are viewed as the sparse perturbation signals. Therefore, the differentially expressed genes can be selected according to the sparse matrix. Finally, we use the GO tool to analyze the selected genes and compare the P-values with other methods.The results on the simulation data and two real genomic data illustrate that this method outperforms some other methods: in differentially expressed gene selection.     

减少调度自动化设备通讯串口丢包率的措施

丢包率是指在使用系统检测过程中对数据进行访问时，数据包因为各种物理原因或者软件原因导致的信道丢失现象。在自动化通讯设备出现串口丢包的情况下，会导致设备通信不通畅，信号遗失等不良后果。本文从软硬件方面对通讯串口的丢包问题进行分析，并提出防范措施。     

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Studies on the workability of precise seeders by means of labelling methods has been possible due to the solution of the following problems: labelling of seeds, radiation collimation of labelled seeds being sown, elaboration of measuring and registering systems as well as processing systems of a measuring signal. The developed method allows for precise, quick and fully objective evaluation of the studied seeders to be done under natural conditions.     

Cartographic visualization of human trajectory data: overview and analysis

With the prevalence of mobile computing systems and location based services, large amounts of spatio-temporal data are nowadays being collected, representing the mobility of people performing various activities. However, despite the increasing interest in the exploration of these data, there are still open challenges in various application contexts, e.g. related to visualisation and human–computer interaction. In order to support the extraction of useful and relevant information from the spatio-temporal and the thematic properties associated with human trajectories, it is crucial to develop and study adequate interactive visualisation techniques. In addition to the properties of the visualisations themselves, it is important to take into consideration the types of information present within the data and, more importantly, the types of tasks that a user might need to consider in order to achieve a given goal. The understanding of these factors may, in turn, simplify the development and the assessment of a given interactive visualisation. In this paper, we present and analyse the most relevant concepts associated to these topics. In particular, our analysis addresses the main properties associated with (human) trajectory data, the main types of visualisation tasks/objectives that the users may require in order to analyse that data and the high-level classes of techniques for visualising trajectory data. In addition, this paper also presents an overview on a user study, conducted in function of this analysis, to compare two classes of visualisation techniques, namely static maps and space-time cubes, regarding their adequacy in helping users completing basic visualisation tasks.     

基于小世界模型对异常数据的分析技术

随着Internet的飞速发展以及宽带无线网络的出现，面对日增月积的网络海量数据，如何有效地应用模型进行数据分析，根据分析意图、目的简明直接地得到所关心的结果，成为关注的重点。当前，小世界模型在中国越来越被重视，并被有效地运用至网络、医药、生物、企业等各个领域。因此，以小世界模型作为理论依据，进一步扩展数据聚类的功能，讨论切实、高效地获取异常数据分析的技术，就显得尤为必要。     

分光仪测衍射光栅常量的实验设计与数据处理

不等精密度测量在实验中是很普遍的现象,而在现行的本科基础实验教学中对此的强调是不足的.本文以分光仪测衍射光栅常量的实验为例,针对光学实验在设计与数据处理上强化不等精密度测量进行探索研究.     

Inverse scattering problem for Sturm–Liouville operator with nonlinear dependence on the spectral parameter in the boundary condition

The inverse problem of the scattering theory for Sturm–Liouville operator on the half line with boundary condition depending quadratic on the spectral parameter is considered. Scattering data are defined, some properties of the scattering data are examined, the main equation is obtained, solvability of the integral equation is proved and uniqueness of algorithm to the potential with given scattering data is studied. Copyright © 2010 John Wiley & Sons, Ltd.     

Interference of Data Transmission in Access and Backbone Networks by High-Power Sensor System

Currently, individual optical fibers are mostly used for each non-data application, which is very inefficient and uneconomical. Sharing a single fiber for multiple applications is a promising solution. However, in the case of a non-data application, the situation is much more complicated compared to data because of special application´s requirements. In laboratory setup, we performed a measurement with a standard G.652D optical fiber for analyzing possible interaction of stable frequency/accurate time transmission, 1.25/10Gbps data transmission (typical bitrates for access point-to-point networks), and high-power sensor signal for different channel spacing and different pulse duration of sensor signal.     

移动互联网对电信运营商转型的要求

本文试图从转型的观点看电信运营商如何适应数据核心业务.电信运营商的转型至少包括企业战略转型、市场转型与技术转型.     

手持设备中股票软件数据存储方案的设计

针对股票软件中历史数据的特点.深入分析了B+树存储和线性表存储两种数据存储方案.这两种方案均能达到股票软件的应用要求,最后进一步从性能和资源耗费上对这两种方案进行了对比分析,指出了它们各自的优点与不足,对其他类似的设计具有很好的借鉴意义.