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    • 41. 发明授权
    • Peripheral viewing system for a vehicle
    • 车辆外围观察系统
    • US08593520B2
    • 2013-11-26
    • US13205529
    • 2011-08-08
    • Brian KwangShik HongRan Soo Hong
    • Brian KwangShik HongRan Soo Hong
    • H04N7/18
    • B60R11/04G08G1/166H04N5/23238H04N7/181
    • A peripheral viewing system for a vehicle includes a pair of digital cameras, each positioned on the exterior of the vehicle proximately positioned where a side view mirror would typically be mounted. An additional digital camera is mounted on the vehicle roof immediately adjacent the top edge of the rear window. A plurality of LCD's each discretely associated with a corresponding camera are mounted within the vehicle passenger compartment at a location that is readily observable by the vehicle driver. The driver can panoramically view trailing traffic by observing the LCD's in the passenger compartment. One or more infrared phototransistor receivers are positioned at the rear of the vehicle for detecting oncoming vehicles. If the driver attempts to change lanes and activates a turn signal, a warning message will be emitted within the passenger compartment if any of the transistors detect an approaching vehicle within a predetermined range of the vehicle.
    • 用于车辆的周边观察系统包括一对数码相机,每个数码相机位于车辆的外部,大致位于通常将安装侧视镜的位置。 附加的数码相机安装在紧邻后窗的顶部边缘的车顶上。 与相应的照相机离散地相关联的多个LCD被安装在车辆乘客舱内的车辆驾驶员容易观察到的位置。 驾驶员可以通过观察乘客舱中的液晶显示屏来全景地查看尾随的交通。 一个或多个红外光电晶体管接收器位于车辆的后部以检测迎面而来的车辆。 如果驾驶员尝试改变车道并激活转向信号,则如果任何一个晶体管检测到在车辆的预定范围内的接近车辆,则在乘客车厢内将发出警告消息。
    • 42. 发明授权
    • Systems and methods for reducing noise from mass spectra
    • 用于降低质谱噪声的系统和方法
    • US08530828B2
    • 2013-09-10
    • US13437837
    • 2012-04-02
    • Gordana IvosevRonald Bonner
    • Gordana IvosevRonald Bonner
    • H01J49/26B01D59/44H04B15/00G06F17/00
    • H01J49/26H01J49/0036
    • A plurality of scans of a sample are performed, producing a plurality of mass spectra. Neighboring mass spectra of the plurality of mass spectra are combined into a collection of mass spectra based on sample location, time, or mass. A background noise estimate is calculated for the collection of mass spectra. The collection of mass spectra is filtered using the background noise estimate, producing a filtered collection of one or more mass spectra. Quantitative or qualitative analysis is performed using the filtered collection of one or more mass spectra. The background noise estimate is calculated by dividing the collection of mass spectra into two or more windows, for example. For each window of the two or more windows, all spectra within each window are combined, producing a combined spectrum for each of the two or more windows. For each combined spectrum, a background noise is estimated.
    • 执行样本的多次扫描,产生多个质谱。 基于样品位置,时间或质量将多个质谱的相邻质谱合并成质谱图。 计算质谱收集的背景噪声估计。 使用背景噪声估计来过滤质谱的收集,产生一个或多个质谱的过滤集合。 使用一个或多个质谱的过滤集合进行定量或定性分析。 例如,通过将质谱图的集合除以两个或多个窗口来计算背景噪声估计。 对于两个或多个窗口的每个窗口,组合每个窗口内的所有光谱,为两个或多个窗口中的每个窗口产生组合光谱。 对于每个组合光谱,估计背景噪声。
    • 43. 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。
    • 44. 发明授权
    • Systems and methods for extending the dynamic range of mass spectrometry
    • 扩展质谱动态范围的系统和方法
    • US08374799B2
    • 2013-02-12
    • US12705539
    • 2010-02-12
    • Gordana Ivosev
    • Gordana Ivosev
    • G01N23/00
    • H01J49/0036H01J49/4265
    • Systems and methods are used to predict intensities of a saturated peak using a peak predictor. A set of data is selected from the plurality of intensity measurements that includes a saturated peak. Confidence values are assigned to each data point in the set of data producing a plurality of confidence value weighted data points. A peak predictor is selected. The peak predictor is applied to the plurality of confidence value weighted data points of the saturated peak producing predicted intensities for the saturated peak. The confidence values can include system confidence values, predictor confidence values, or a combination of system confidence values and predictor confidence values. The peak predictor can be a theoretical model, a dynamic model, an artificial neural network, or an analytical function representing a best fit of a plurality of probability density functions to a first set of measured data that includes a representative non-saturated peak.
    • 系统和方法用于使用峰值预测器预测饱和峰的强度。 从包括饱和峰值的多个强度测量中选择一组数据。 将置信度值分配给产生多个置信度值加权数据点的数据集合中的每个数据点。 选择峰值预测器。 将峰值预测器应用于产生饱和峰值的预测强度的饱和峰值的多个置信度值加权数据点。 置信度值可以包括系统置信度值,预测器置信度值,或系统置信度值和预测值置信度值的组合。 峰值预测器可以是理论模型,动态模型,人造神经网络或表示多个概率密度函数对包括代表性非饱和峰值的第一组测量数据的最佳拟合的分析函数。
    • 45. 发明授权
    • Intelligent saturation control for compound specific optimization of MRM
    • 智能饱和控制用于MRM的复合特定优化
    • US08335655B2
    • 2012-12-18
    • US12476133
    • 2009-06-01
    • Loren Y. OlsonAnthony J. RomanelliJohn Joseph GibbonsApril L. ThomasElliott B. JonesHua-fen Liu
    • Loren Y. OlsonAnthony J. RomanelliJohn Joseph GibbonsApril L. ThomasElliott B. JonesHua-fen Liu
    • G01N33/50G01N33/48
    • H01J49/0031
    • Mass spectrometer parameters used to tune a mass spectrometer for multiple reaction monitoring (MRM) are determined from a single injection of a sample. Two or more precursor ion scans and a plurality of product ion scans for each precursor ion scan are performed from the injection. Each precursor ion scan is produced with different mass spectrometer parameters that create a different level of ion current. The mass spectra of the precursor ion scans are analyzed to determine if saturation has occurred in any of the precursor ion scans. A precursor ion scan that produces the highest ion current with the least amount of saturation is selected. The mass spectrometer parameters used to tune the mass spectrometer for MRM are determined from (1) the mass spectrometer parameters of the selected precursor ion scan and (2) the mass spectrometer parameters of product ion scans from fragments of the selected precursor ion scan.
    • 用于调整质谱仪用于多反应监测(MRM)的质谱仪参数由单次注入样品确定。 从注射进行两次或多次前体离子扫描和用于每个前体离子扫描的多个产物离子扫描。 每个前体离子扫描都是用不同的质谱仪参数产生的,这些参数产生不同程度的离子电流。 分析前体离子扫描的质谱以确定在任何前体离子扫描中是否已经发生饱和。 选择产生具有最小饱和度的最高离子电流的前体离子扫描。 用于调整MRM质谱仪的质谱仪参数由(1)所选择的前体离子扫描的质谱仪参数和(2)从所选择的前体离子扫描片段产物离子扫描的质谱仪参数中确定。
    • 50. 发明授权
    • Method for identifying a convolved peak
    • 识别卷积峰的方法
    • US08073639B2
    • 2011-12-06
    • US12200636
    • 2008-08-28
    • Gordana IvosevRonald Bonner
    • Gordana IvosevRonald Bonner
    • G06F17/00G06F17/40
    • G06K9/00543G01N30/72G01N30/8682G01N2030/862H01J49/0036
    • A method for identifying a convolved peak is described. A plurality of spectra is obtained. A multivariate analysis technique is used to assign data points from the plurality of spectra to a plurality of groups. A peak is selected from the plurality of spectra. If the peak includes data points assigned to two or more groups of the plurality of groups, the peak is identified as a convolved peak. Principal component analysis is one multivariate analysis technique that is used to assign data points. A number of principal components are selected. A subset principal component space is created. A data point in the subset principal component space is selected. A vector is extended from the origin of the subset principal component space to the data point. One or more data points within a spatial angle around the vector are assigned to a group.
    • 描述了用于识别卷积峰的方法。 获得多个光谱。 多变量分析技术用于将数据点从多个频谱分配到多个组。 从多个光谱中选出峰。 如果峰值包括分配给多个组中的两个或更多个组的数据点,则将该峰识别为卷积峰。 主成分分析是一种用于分配数据点的多变量分析技术。 选择了多个主要组件。 创建子集主体组件空间。 选择子集主体组件空间中的数据点。 向量从子集主体组件空间的起点扩展到数据点。 在矢量周围的空间角度内的一个或多个数据点被分配给一个组。