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    • 93. 发明授权
    • Smoke and fire detection in aircraft cargo compartments
    • 飞机货舱中的烟雾和火灾探测
    • US07688199B2
    • 2010-03-30
    • US11555992
    • 2006-11-02
    • Wei ZhangChao-Hsin Lin
    • Wei ZhangChao-Hsin Lin
    • G08B1/08G08B21/00G08B25/00
    • G08B17/00A62C3/08G08B31/00
    • A detection system may include at least one sensor located in an enclosable space, each sensor being configured to detect at least one environmental feature and provide a corresponding at least one environmental feature signal. The system may process the at least one environmental feature signal and provide at least one processed feature signal, the at least one processed feature signal corresponding to a transformed at least one environmental feature signal. The system may further provide a hosted function configured to provide instructions for processing, the hosted function comprising a computational algorithm adapted to perform numerical transformation operations based on the at least one environmental feature signal, the hosted function being configured to provide a map image based on the at least one processed feature signal.
    • 检测系统可以包括位于可封闭空间中的至少一个传感器,每个传感器被配置成检测至少一个环境特征并提供对应的至少一个环境特征信号。 所述系统可以处理所述至少一个环境特征信号并提供至少一个经处理的特征信号,所述至少一个经处理的特征信号对应于经变换的至少一个环境特征信号。 所述系统还可以提供被配置为提供用于处理的指令的托管功能,所述托管功能包括适于基于所述至少一个环境特征信号执行数字变换操作的计算算法,所述托管功能被配置为基于 所述至少一个经处理的特征信号。
    • 94. 发明申请
    • LEARNING-BASED PARTIAL DIFFERENTIAL EQUATIONS FOR COMPUTER VISION
    • 用于计算机视觉的基于学习的部分差分方程
    • US20100074551A1
    • 2010-03-25
    • US12235488
    • 2008-09-22
    • Zhouchen LinWei Zhang
    • Zhouchen LinWei Zhang
    • G06K9/40
    • G06K9/40G06T5/001G06T7/10G06T2207/20081
    • Partial differential equations (PDEs) are used in the invention for various problems in computer the vision space. The present invention provides a framework for learning a system of PDEs from real data to accomplish a specific vision task. In one embodiment, the system consists of two PDEs. One controls the evolution of the output. The other is for an indicator function that helps collect global information. Both PDEs are coupled equations between the output image and the indicator function, up to their second order partial derivatives. The way they are coupled is suggested by the shift and rotational invariance that the PDEs should hold. The coupling coefficients are learnt from real data via an optimal control technique. The invention provides learning-based PDEs that make a unified framework for handling different vision tasks, such as edge detection, denoising, segementation, and object detection.
    • 局部微分方程(PDE)用于本发明的计算机视觉空间中的各种问题。 本发明提供了一种用于从实际数据学习PDE系统以完成特定视觉任务的框架。 在一个实施例中,系统由两个PDE组成。 一个控制输出的演变。 另一个是用于帮助收集全球信息的指标功能。 两个PDE是输出图像和指示符函数之间的耦合方程,直到它们的二阶偏导数。 它们耦合的方式是由PDE应该保持的移动和旋转不变性来提出的。 通过最优控制技术从实数数据中学习耦合系数。 本发明提供了基于学习的PDE,其构成用于处理不同视觉任务的统一框架,例如边缘检测,去噪,分割和对象检测。
    • 95. 发明授权
    • Processing medical image information to detect anatomical abnormalities
    • 处理医学图像信息以检测解剖异常
    • US07672494B2
    • 2010-03-02
    • US11419980
    • 2006-05-23
    • Takeshi DoiWei Zhang
    • Takeshi DoiWei Zhang
    • G06K9/00A61B6/04
    • G06T7/0012G06T2207/30068
    • A method, system, and related computer program products are provided for processing a medical image of a body part according to a computer-aided detection (CAD) algorithm, the medical image having an image border, the body part comprising imaged tissue appearing inside the image border and outlying tissue not appearing in the medical image, wherein likely anatomical abnormalities in the outlying tissue near the imaged tissue border are detected by the CAD algorithm. In one example, the detected likely abnormalities in the outlying tissue are located within a first distance from the imaged tissue border, wherein the first distance corresponds to a spatial ambit of a neighborhood-based feature computed by the CAD algorithm.
    • 提供了一种根据计算机辅助检测(CAD)算法来处理身体部位的医学图像的方法,系统和相关的计算机程序产品,所述医学图像具有图像边界,所述身体部分包括出现在内部的成像组织 图像边界和不存在于医学图像中的外围组织,其中通过CAD算法检测在成像组织边界附近的外围组织中可能的解剖异常。 在一个示例中,所检测到的外围组织中可能的异常位于距成像组织边界的第一距离内,其中第一距离对应于由CAD算法计算的基于邻域的特征的空间范围。
    • 98. 发明授权
    • Piezoelectric quartz level sensor
    • 压电石英液位传感器
    • US07603786B2
    • 2009-10-20
    • US11906201
    • 2007-09-29
    • Fuxue ZhangWei Zhang
    • Fuxue ZhangWei Zhang
    • G01C9/06
    • G01C9/06H01L41/053H01L41/0533H01L41/1132
    • The present invention relates to a new piezoelectric quartz level sensor mainly applied in the attitude stabilized and control system of the aircraft, robot, vehicle, ship, oil drilling platform, construction, industrial automation equipment, radar, and satellite, comprising a sensitive element, signal processing circuit, base, outer case and socket. The piezoelectric quartz level sensor transfers the deflection angle of the object to the force exerted on two symmetrical mounted round piezoelectric quartz wafers, and then utilizing the prominent force sensitivity of the piezoelectric quartz, the level attitude parameter of an objected can be detected through the frequency variation due to the force exerted on the two piezoelectric quartz wafers. Therefore, the present invention can satisfy the demand of high stability and resolution, low non-linear degree, quick start time, wide measuring range and operating temperature, good ability to resist shock, and digital output.
    • 本发明涉及一种主要应用在飞机,机器人,车辆,船舶,石油钻井平台,建筑,工业自动化设备,雷达和卫星的姿态稳定和控制系统中的新的压电石英液位传感器,包括敏感元件, 信号处理电路,底座,外壳和插座。 压电石英电平传感器将物体的偏转角传递到两个对称安装的圆形压电石英晶片上的力,然后利用压电石英的突出的力灵敏度,可以通过频率检测被测对象的水平姿态参数 由于施加在两个压电石英晶片上的力的变化。 因此,本发明可以满足高稳定性,分辨率,低非线性度,启动时间快,测量范围宽,工作温度高,抗冲击能力强和数字输出的要求。
    • 99. 发明申请
    • Flourescent organic nanofibrils as sensory materials for explosives detection
    • 荧光有机纳米纤维作为爆炸物检测的感觉材料
    • US20090233374A1
    • 2009-09-17
    • US12110869
    • 2008-04-28
    • Ling ZangJeffrey MooreTammene NaddoWei Zhang
    • Ling ZangJeffrey MooreTammene NaddoWei Zhang
    • G01N33/00B29C39/00G01N21/75
    • G01N33/0047G01N21/6428G01N27/4141G01N33/0057Y10T436/17
    • The present invention relates to a class of fluorescent, organic nanofibrils, and particularly the films comprising entangled piling of these nanofibrils exhibiting effective quenching of their fluorescence upon exposure the vapor of explosives. The invention also relates to a sensor and a method for sensing the explosives vapor and other volatile organic compounds, including the explosives taggants through the modulation of the fluorescence of the nanofibril film and the electrical conductivity of the nanofibrils. The invention also relates to a development of synthetic methods, protocols and techniques that leads to production of various arylene-ethynylene macrocycle (AEM) molecules, which consist of a shape-persistent, toroidal scaffold in planar conformation, with minimal ring strain and highly tunable ring sizes (from 0.5 nm to above 10 nm). The invention also relates to an approach to optimization of the one-dimensional molecular arrangement along the long axis of the nanofibril, which provides increased exciton (excited state) migration (via cofacial intermolecular electronic coupling) and charge transport (via pi-electronic delocalization). A combination of long-range exciton migration and efficient charge transport makes the nanofibrils ideal as sensory materials for detecting explosives and other volatile organic compounds through both optical and electrical sensing mechanisms.
    • 本发明涉及一类荧光,有机纳米原纤维,特别是涉及这些纳米纤维缠结的薄膜,这些纳米纤维在暴露爆炸物的蒸气时表现出有效的淬灭荧光。 本发明还涉及一种用于通过调节纳米纤维膜的荧光和纳米原纤维的电导率来感测爆炸物蒸汽和其它挥发性有机化合物(包括爆炸物标记物)的传感器和方法。 本发明还涉及导致生产各种亚芳基 - 亚乙炔大环(AEM)分子的合成方法,方案和技术的开发,所述亚芳基 - 亚乙炔大环(AEM)分子由平面构象中的形状持久的环形支架构成,具有最小的环应变和高度可调的 环尺寸(从0.5nm到10nm以上)。 本发明还涉及一种优化沿着纳米纤丝长轴的一维分子排列的方法,该方法提供增加的激子(激发态)迁移(通过共面分子间电子耦合)和电荷传输(通过π电子离域) 。 长距离激子迁移和高效电荷传输的组合使得纳米原纤维理想成为用于通过光学和电学感测机制检测爆炸物和其它挥发性有机化合物的感觉材料。