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    • 6. 发明授权
    • Automatic calibration of fourier-domain optical coherence tomography systems
    • 傅立叶光学相干断层扫描系统的自动校准
    • US08921767B2
    • 2014-12-30
    • US13813611
    • 2011-08-02
    • Jin KangMarcin Arkadiusz BalickiXuan Liu
    • Jin KangMarcin Arkadiusz BalickiXuan Liu
    • G01D18/00G12B13/00G01B9/02G01N21/47
    • G01B9/02091G01B9/02044G01B9/02074G01N21/4795
    • A method for calibrating a Fourier domain optical coherence tomography system includes receiving spectral data from an optical detector comprising a linear array of detector elements, each detector element having a position labeled n, wherein detected light was wavelength-dispersed across the linear array of detector elements; determining parameters of a preselected functional relationship between wave number, kn, corresponding to detector element n as a function of optical detector element n based on the spectral data; further receiving subsequent spectral data subsequent to the first-mentioned receiving, wherein detected light was wavelength-dispersed across the linear array of detector elements; converting the subsequent spectral data using the preselected functional relationship between wave number kn and optical detector element n to obtain converted spectral data; and performing an inverse Fourier transform of the converted spectral data to obtain a depth profile.
    • 用于校准傅立叶域光学相干断层摄影系统的方法包括从包括检测器元件的线性阵列的光学检测器接收光谱数据,每个检测器元件具有标记为n的位置,其中检测到的光被波长分散在检测器元件的线性阵列 ; 基于光谱数据确定与检测器元件n相对应的波数kn的预选功能关系的参数作为光检测器元件n的函数; 进一步接收在所述第一次接收之后的随后的光谱数据,其中检测的光被波长分散在检测器元件的线性阵列上; 使用波数kn和光检测器元件n之间的预选功能关系来转换随后的光谱数据,以获得转换的光谱数据; 并对所转换的光谱数据执行逆傅立叶变换以获得深度分布。
    • 8. 发明申请
    • Online Data Fusion
    • 在线数据融合
    • US20130144843A1
    • 2013-06-06
    • US13311034
    • 2011-12-05
    • Divesh SrivastavaXin DongXuan Liu
    • Divesh SrivastavaXin DongXuan Liu
    • G06F17/30
    • G06F17/30634
    • An online data fusion system receives a query, probes a first source for an answer to the query, returns the answer from the first source, refreshes the answer while probing an additional source, and applies fusion techniques on data associated with an answer that is retrieved from the additional source. For each retrieved answer, the online data fusion system computes the probability that the answer is correct and stops retrieving data for the answer after gaining enough confidence that data retrieved from the unprocessed sources are unlikely to change the answer. The online data fusion system returns correct answers and terminates probing additional sources in an expeditious manner without sacrificing the quality of the answers.
    • 在线数据融合系统接收查询,探索第一个来源以获得查询的答案,从第一个源返回答案,在探索附加的源时刷新答案,并对与检索到的答案相关联的数据应用融合技术 从额外的来源。 对于每个检索到的答案,在线数据融合系统计算出答案正确的概率,并且在获得足够的信心从而从未处理的源中检索的数据不太可能改变答案之后,停止检索答案数据。 在线数据融合系统返回正确的答案,并以迅速的方式终止探测附加来源,而不牺牲答案的质量。
    • 9. 发明申请
    • MINING GENERALIZED SPATIAL ASSOCATION RULE
    • 采矿综合空间协会规则
    • US20130013640A1
    • 2013-01-10
    • US13179125
    • 2011-07-08
    • Wei Shan DongArun HampapurZhong Bo JiangHongfei LiXuan LiuWei Sun
    • Wei Shan DongArun HampapurZhong Bo JiangHongfei LiXuan LiuWei Sun
    • G06F17/30
    • G06F17/30241G06F17/30592
    • A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.
    • 一种用于通过使用SAR(空间关联规则)挖掘工具挖掘包括空间信息和非空间信息的规则的系统,方法和计算机程序产品。 计算系统被配置为构建用于参考空间对象的扩展空间谓词事务表和用于任务相关空间对象的广义分类法。 计算系统配置为运行SAR挖掘工具,其中构建了扩展的空间谓词事务和广义分类法。 计算系统从SAR挖掘工具输出一组用于参考空间对象的广义空间关联规则。 广义空间关联规则包括与参考空间对象和任务相关的空间对象相关联的空间信息和非空间信息。