会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 91. 发明申请
    • Extraordinary hall effect sensors and arrays
    • 非凡的霍尔效应传感器和阵列
    • US20040164840A1
    • 2004-08-26
    • US10371321
    • 2003-02-21
    • Brown University Research Foundation
    • Gang XiaoGuo-Xing Miao
    • B32B009/00
    • G11C11/14G01R33/0094G01R33/07G11B5/372G11B5/49H01L43/06Y10T428/115Y10T428/1171
    • An EHE magnetic sensor has an alloy of the form RynullMxN100nullxnull100nully, M being Fe, Co, Ni, or magnetic alloys that contain Fe, Co or Ni. N is from the fifth or sixth period of the periodic table. If present, R is a rare earth element. In one embodiment, the alloy exhibits a Temperature Coefficient null0.003 Knull1 in the room temperature region. Various geometric shapes of sensors are presented including one and two-dimensional arrays of sensors for measuring spatial magnetic fields. Vias (98, 100, 102, 104) defined by a substrate (92) onto which an alloy layer (106) is disposed are filled with a conductive material in certain embodiments of arrays. Methods are disclosed for making a sensor, for designing a sensor at a thickness, for determining maximum acceptable current through a sensor, for reducing Joule heating of a sensor, and for making an array of sensors.
    • EHE磁传感器具有Ry [MxN100-x] 100-y,M为Fe,Co,Ni或含有Fe,Co或Ni的磁性合金的合金。 N是周期表的第五或第六周期。 如果存在,R是稀土元素。 在一个实施方案中,合金在室温区域中显示温度系数<= 0.003K -1。 提出了传感器的各种几何形状,包括用于测量空间磁场的一维和二维传感器阵列。 在阵列的某些实施例中,由布置有合金层(106)的基板(92)限定的通孔(98,100,102,104)填充有导电材料。 公开了用于制造传感器的方法,用于设计厚度的传感器,用于确定通过传感器的最大可接受电流,以减少传感器的焦耳加热,以及用于制造传感器阵列。
    • 96. 发明申请
    • Method, apparatus and computer program product for the interactive rendering of multivalued volume data with layered complementary values
    • 用于交互式渲染具有分层互补值的多值体数据的方法,装置和计算机程序产品
    • US20030234781A1
    • 2003-12-25
    • US10431130
    • 2003-05-06
    • Brown university Research Foundation
    • David H. LaidlawAndreas Wenger
    • G06T015/00
    • G06T15/08
    • Described is a system, method and computer program product for rendering volumetric multivalued primary data. The system includes a rendering engine having an input coupled to a source of multivalued primary data and an output coupled to a display. The rendering engine includes a data processor for calculating additional data values from the primary data, deriving at least one visual representation from the primary data and the additional data values, and mapping the derived visual representation through transfer functions to hardware primitives for volumetrically rendering the derived visual representation to provide a visualization. The system further includes a user interface for interacting with the visualization. The source of primary data can be a magnetic resonance imaging system, and the primary data may be a multivalued combination obtained from T1 weighted data, T2 weighted data, diffusion data, velocity data, magnetization transfer data, perfusion data, data derived from other imaging modalities (e.g., PET), and simulation data. The primary data can be diffusion tensor data generated by the MRI system from tissue, and the data processor operates to identify directed diffusion paths and to render the directed diffusion paths as thread-like structures. Indications of at least flowing blood velocity and vorticity can also be rendered from MRI data or from simulations.
    • 描述了一种用于渲染体积多值主数据的系统,方法和计算机程序产品。 该系统包括渲染引擎,其具有耦合到多值主数据源的输入和耦合到显示器的输出。 呈现引擎包括用于从主数据计算附加数据值的数据处理器,从主数据和附加数据值导出至少一个视觉表示,并且通过传递函数将导出的视觉表示映射到硬件基元,用于体积地渲染所导出的 视觉表示来提供可视化。 系统还包括用于与可视化进行交互的用户界面。 主要数据源可以是磁共振成像系统,主要数据可以是从T1加权数据,T2加权数据,扩散数据,速度数据,磁化传递数据,灌注数据,从其他成像得到的数据获得的多值组合 模式(例如PET)和模拟数据。 主要数据可以是由MRI系统从组织产生的扩散张量数据,并且数据处理器操作以识别定向扩散路径并将定向扩散路径呈现为线状结构。 至少流动的血液速度和涡度的指示也可以从MRI数据或模拟中得到。
    • 97. 发明申请
    • Optical method for the determination of grain orientation in films
    • 用于测定薄膜晶粒取向的光学方法
    • US20020054295A1
    • 2002-05-09
    • US10012985
    • 2001-11-05
    • Brown University Research Foundation
    • Humphrey J. Maris
    • G01B011/02
    • G01N21/8422H01L22/12
    • A method for the determination of grain orientation in a film sample is provided comprising the steps of measuring a first transient optical response of the film and determining the contribution to the transient optical response arising from a change in the energy distribution of the electrons in the sample, determining the contribution to the transient optical response arising from a propagating strain pulse within the sample, and determining the contribution to the transient optical response arising from a change in sample temperature of the sample. The grain orientation of the sample may be determined using the contributions to the transient optical response arising from the change in the energy distribution of the electrons, the propagating strain pulse, and the change in sample temperature. Additionally, a method for determination of the thickness of a film sample is provided. The grain orientation of the sample is first determined. The grain orientation, together with the velocity of sound and a propagation time of a strain pulse through the sample are then used to determine the thickness of the film sample.
    • 提供了一种用于确定膜样品中的晶粒取向的方法,包括以下步骤:测量薄膜的第一瞬态光学响应并确定由于样品中的电子的能量分布的变化引起的瞬态光学响应的​​贡献 确定对由样品内的传播应变脉冲引起的瞬态光学响应的​​贡献,以及确定由于样品的样品温度变化引起的瞬态光学响应的​​贡献。 可以使用由电子的能量分布的变化,传播的应变脉冲和样品温度的变化引起的瞬态光学响应的​​贡献来确定样品的晶粒取向。 另外,提供了用于确定膜样品的厚度的方法。 首先确定样品的晶粒取向。 然后使用晶粒取向以及通过样品的应变脉冲的声速和传播时间来确定膜样品的厚度。
    • 100. 发明申请
    • Method and system for inferring hand motion from multi-cell recordings in the motor cortex using a kalman filter or a bayesian model
    • 使用卡尔曼滤波器或贝叶斯模型从运动皮质中的多细胞记录推断手运动的方法和系统
    • US20040073414A1
    • 2004-04-15
    • US10455509
    • 2003-06-04
    • Brown University Research Foundation
    • Lucien J.E. BienenstockMichael J. BlackWei WuYun Gao
    • G06F017/10
    • G06F3/015
    • A method and system to decode neural activity in the motor cortex to infer at least the position and velocity of a subject's hand from neural spiking activity of some number of nerve cells. In one embodiment the method includes simultaneously recording electrical activity of the nerve cells in the primary motor cortex to obtain neural data; and modeling the encoding and decoding of the neural data using a Kalman filter, where a measurement model assumes a cell firing rate to be a stochastic linear function of at least the position and velocity of the hand, and where the measurement model is learned from training data in conjunction with a system model that encodes a manner in which the hand moves. In another embodiment the method includes using the neural data to generate training data of neural firing activity conditioned on hand kinematics; learning a non-parametric representation of the firing activity using a Bayesian model; inferring an a posterior probability distribution over hand motion, conditioned on the neural training data using Bayesian inference; defining a non-Gaussian likelihood term that is combined with a prior probability for the kinematics based on learned firing models of multiple nerve cells; and using a particle filtering method is to represent, update, and propagate the posterior distribution over time.
    • 一种解决运动皮层神经活动的方法和系统,至少推断受试者的手从一些神经细胞的神经刺激活动的位置和速度。 在一个实施方案中,该方法包括同时记录神经细胞在主运动皮层中的电活动以获得神经数据; 并且使用卡尔曼滤波器对神经数据的编码和解码进行建模,其中测量模型假定小区发射速率至少是手的位置和速度的随机线性函数,并且其中从训练中学习测量模型 数据结合编码手移动方式的系统模型。 在另一个实施例中,该方法包括使用神经数据来产生以手运动学为条件的神经发射活动的训练数据; 使用贝叶斯模型学习射击活动的非参数表示; 推导使用贝叶斯推理的神经训练数据的手部运动后验概率分布; 基于多个神经细胞的学习的发射模型定义与运动学的先验概率相结合的非高斯似然项; 并且使用粒子滤波方法是表示,更新和传播随时间的后验分布。