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    • 2. 发明申请
    • SPECTRAL SIGNATURE EXTRACTION FOR DRUG VERIFICATION AND IDENTIFICATION
    • 用于药物验证和鉴定的光谱签名提取
    • US20100045978A1
    • 2010-02-25
    • US12545368
    • 2009-08-21
    • Prasant PotuluriYuting QiYa Xue
    • Prasant PotuluriYuting QiYa Xue
    • G01J3/28G01J3/44
    • G06Q50/22G06F19/00G06F19/3456
    • Systems and methods perform signature extraction from an acquired spectrum of a pharmaceutical. An acquired spectrum of the pharmaceutical is measured using a spectrometer. The acquired spectrum is obtained from the spectrometer using a processor. A system-response function of the spectrometer is removed from the acquired spectrum using the processor. An intensity of the acquired spectrum is normalized to a predetermined scale using the processor. Fluorescence is removed from the acquired spectrum using the processor. Finally, an extracted signature of the pharmaceutical is obtained from the remainder of the acquired spectrum using the processor. If the acquired spectrum of the pharmaceutical is measured by the spectrometer through a container holding the pharmaceutical, a spectrum of the container is removed from the remainder of the acquired spectrum to produce the extracted signature of the pharmaceutical using the processor.
    • 系统和方法从药物的获得谱执行签名提取。 使用光谱仪测量药物的获得谱。 所获得的光谱使用处理器从光谱仪获得。 使用处理器从采集的光谱中去除光谱仪的系统响应功能。 使用处理器将获取的光谱的强度归一化为预定的刻度。 使用处理器从所获取的光谱中除去荧光。 最后,使用处理器从所获取的频谱的其余部分获得药物的提取的签名。 如果通过光谱仪通过容纳药物的容器测量所获得的药物谱,则从获得的光谱的其余部分中除去容器的光谱,以使用处理器产生提取的药物的特征。
    • 3. 发明授权
    • Spectral signature extraction for drug verification and identification
    • 光谱签名提取用于药物验证和鉴定
    • US08417540B2
    • 2013-04-09
    • US12545368
    • 2009-08-21
    • Prasant PotuluriYa XueYuting Qi
    • Prasant PotuluriYa XueYuting Qi
    • G06Q10/00G01J3/42
    • G06Q50/22G06F19/00G06F19/3456
    • Systems and methods perform signature extraction from an acquired spectrum of a pharmaceutical. An acquired spectrum of the pharmaceutical is measured using a spectrometer. The acquired spectrum is obtained from the spectrometer using a processor. A system-response function of the spectrometer is removed from the acquired spectrum using the processor. An intensity of the acquired spectrum is normalized to a predetermined scale using the processor. Fluorescence is removed from the acquired spectrum using the processor. Finally, an extracted signature of the pharmaceutical is obtained from the remainder of the acquired spectrum using the processor. If the acquired spectrum of the pharmaceutical is measured by the spectrometer through a container holding the pharmaceutical, a spectrum of the container is removed from the remainder of the acquired spectrum to produce the extracted signature of the pharmaceutical using the processor.
    • 系统和方法从药物的获得谱执行签名提取。 使用光谱仪测量药物的获得谱。 所获得的光谱使用处理器从光谱仪获得。 使用处理器从采集的光谱中去除光谱仪的系统响应功能。 使用处理器将获取的光谱的强度归一化为预定的刻度。 使用处理器从所获取的光谱中除去荧光。 最后,使用处理器从所获取的频谱的其余部分获得药物的提取的签名。 如果通过光谱仪通过容纳药物的容器测量所获得的药物谱,则从获得的光谱的其余部分中除去容器的光谱,以使用处理器产生提取的药物的特征。
    • 7. 发明申请
    • METHODS AND SYSTEMS FOR ONLINE RECOMMENDATION
    • 在线推荐的方法和系统
    • US20110131595A1
    • 2011-06-02
    • US12629345
    • 2009-12-02
    • Ya XueAbha MoitraSteven Matt Gustafson
    • Ya XueAbha MoitraSteven Matt Gustafson
    • H04H60/33G06F17/30
    • H04N21/258G06F17/30044G06F17/30053G06F17/30702G06F17/30781G06F17/30867H04N21/4668H04N21/4826H04N21/84
    • A method for recommending videos is presented. The method includes generating a cross-usage matrix based upon a data of video sessions for a plurality of videos, generating a temporal matrix based upon release dates of the plurality of videos, generating a cross-temporal matrix based upon the cross-usage matrix and the temporal matrix, computing a global video rank corresponding to each of the plurality of videos based upon the cross-temporal matrix, generating a similarity score corresponding to each pair of videos in the plurality of videos based upon meta-data of the plurality of videos, and generating a local video rank corresponding to each of the plurality of videos relative to another video in the plurality of videos based upon the generated cross-usage matrix, the computed global video rank and the generated similarity score.
    • 介绍一种推荐视频的方法。 该方法包括基于多个视频的视频会话的数据生成交叉使用矩阵,基于多个视频的发布日期生成时间矩阵,基于交叉使用矩阵生成跨时间矩阵;以及 所述时间矩阵基于所述跨时间矩阵计算与所述多个视频中的每一个对应的全局视频秩,基于所述多个视频的元数据生成与所述多个视频中的每对视频相对应的相似度得分 并且基于所生成的交叉使用矩阵,所计算的全局视频秩和所生成的相似性得分,生成与多个视频中的每一个相对于多个视频中的每一个相对应的本地视频秩。