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    • 5. 发明授权
    • Resource adaptive spectrum estimation of streaming data
    • 流数据资源自适应频谱估计
    • US08494036B2
    • 2013-07-23
    • US12177300
    • 2008-07-22
    • Deepak Srinivac TuragaMichail VlachosPhilip S. Yu
    • Deepak Srinivac TuragaMichail VlachosPhilip S. Yu
    • H04B3/46
    • G06F17/141
    • Streaming environments typically dictate incomplete or approximate algorithm execution, in order to cope with sudden surges in the data rate. Such limitations are even more accentuated in mobile environments (such as sensor networks) where computational and memory resources are typically limited. Introduced herein is a novel “resource adaptive” algorithm for spectrum and periodicity estimation on a continuous stream of data. The formulation is based on the derivation of a closed-form incremental computation of the spectrum, augmented by an intelligent load-shedding scheme that can adapt to available CPU resources. Experimentation indicates that the proposed technique can be a viable and resource efficient solution for real-time spectrum estimation.
    • 流环境通常会指示不完整或近似算法执行,以应对数据速率的突然增加。 在计算和存储资源通常受限制的移动环境(如传感器网络)中,这种限制更加突出。 这里介绍的是一种用于连续数据流的频谱和周期估计的新型“资源自适应”算法。 该公式基于频谱的闭合增量计算的推导,通过可以适应可用CPU资源的智能加载开放方案来增强。 实验表明,提出的技术可以成为实时频谱估计的可行且资源有效的解决方案。
    • 9. 发明授权
    • Computer-implemented visualization method
    • 计算机实现的可视化方法
    • US08437559B2
    • 2013-05-07
    • US12907069
    • 2010-10-19
    • Abderrahim LabbiMichail Vlachos
    • Abderrahim LabbiMichail Vlachos
    • G06K9/62G06K9/68
    • G06K9/6219G06K9/6253
    • A method, system and computer product for visualizing affinities between objects. The method includes the steps of: forming a representation of a minimum spanning tree where the minimum spanning tree connects the plurality of objects based on a pairwise distance between the plurality of objects; forming a hierarchical cluster of the plurality of objects where the hierarchical cluster includes a level; agglomerating the plurality of objects based on the pairwise distance; displaying a view of the representation of the minimum spanning tree in a graphical user interface; receiving a user selection of a parameter containing a hierarchical level; and identifying, in the view, a target cluster that corresponds to the hierarchical level; where at least one of the steps is carried out using a computer device so that affinities between the plurality of objects are visualized.
    • 一种用于可视化对象之间的亲和度的方法,系统和计算机产品。 该方法包括以下步骤:基于多个对象之间的成对距离,形成最小生成树的连接多个对象的最小生成树的表示; 形成所述多个对象的分级集群,其中所述分层集群包括层次; 基于成对距离聚集多个物体; 在图形用户界面中显示最小生成树的表示的视图; 接收包含层次级别的参数的用户选择; 并且在视图中识别与分层级相对应的目标簇; 其中使用计算机设备执行至少一个步骤,使得可以可视化多个对象之间的亲和度。
    • 10. 发明申请
    • Systems and Methods for Metadata Embedding in Streaming Medical Data
    • 用于流式传输医疗数据的元数据的系统和方法
    • US20120281894A1
    • 2012-11-08
    • US13491561
    • 2012-06-07
    • Michail VlachosPhilip S. Yu
    • Michail VlachosPhilip S. Yu
    • G06K9/36
    • G06T1/0071G06T2201/0051G06T2201/0052G06T2201/0061G06T2201/0083
    • Systems and methods for embedding metadata such as personal patient information within actual medical data signals obtained from a patient are provided wherein two watermarks, a robust watermark and a fragile watermark are embedded in a given medical data signal. The robust watermark includes a binary coded representation of the metadata that is incorporated into the frequency domain of the medical data signal using discrete Fourier transformations and additive embedding. Error correcting code can also be added to the binary representation of the metadata using Hamming coding. A given robust watermark can be incorporated multiple times in the medical data signal. The fragile watermark is added on top of the modified medical signal containing the robust watermark in the spatial domain of the modified medical signal. The fragile watermark utilizes hash function to generate random sequences that are incorporated through the medical data signal.
    • 提供了用于将诸如个人患者信息之类的元数据嵌入到从患者获得的实际医疗数据信号中的系统和方法,其中在给定医疗数据信号中嵌入两个水印,鲁棒水印和脆弱水印。 鲁棒水印包括使用离散傅里叶变换和附加嵌入结合到医疗数据信号的频域中的元数据的二进制编码表示。 错误纠正码也可以使用汉明编码加到元数据的二进制表示中。 给定的鲁棒水印可以被并入多次在医疗数据信号中。 在修改后的医疗信号的空间域中包含鲁棒水印的经修改的医学信号之上添加脆弱水印。 脆弱水印利用散列函数产生通过医疗数据信号并入的随机序列。