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    • 122. 发明申请
    • METHOD AND APPARATUS FOR RAPID IMPRINT LITHOGRAPHY
    • 用于快速印刷的方法和装置
    • US20080164638A1
    • 2008-07-10
    • US11943977
    • 2007-11-21
    • Wei Zhang
    • Wei Zhang
    • B29C59/02
    • B29C37/0053B29C33/10B29C33/46B29C37/006B29C2035/0827B29C2059/023B82Y10/00B82Y40/00G03F7/0002
    • In accordance with the invention, a mold for imprinting a patterned region by imprint lithography is provided with a peripheral groove around the patterned region. The groove is connected, as by channels through the mold, to a switchable source for gas removal to prevent bubbles and for the application of pressurized gas to separate the mold and substrate.In use, the mold is disposed adjacent the moldable surface and gas is withdrawn from the patterned region through the groove as the mold is pressed toward and into the moldable surface. At or near the end of the imprinting, the process is switched from removal of gas to the application of pressurized gas. The pressurized gas passes through the groove and separates or facilitates separation of the mold and the moldable surface.
    • 根据本发明,用于通过压印光刻来压印图案化区域的模具在图案化区域周围设置有周边槽。 凹槽通过通过模具的通道连接到用于气体去除的可切换源,以防止气泡和用于加压气体以分离模具和基底。 在使用中,模具邻近可模制表面设置,并且当模具被压入可模制表面时,气体通过凹槽从图案化区域中排出。 在压印结束或接近结束时,该过程从去除气体切换到施加加压气体。 加压气体通过凹槽并分离或便于模具和可模制表面的分离。
    • 126. 发明申请
    • SMOKE AND FIRE DETECTION IN AIRCRAFT CARGO COMPARTMENTS
    • 飞机货柜内的烟雾和火灾检测
    • US20080106437A1
    • 2008-05-08
    • US11555992
    • 2006-11-02
    • Wei ZhangChao-Hsin Lin
    • Wei ZhangChao-Hsin Lin
    • G08B21/00
    • G08B17/00A62C3/08G08B31/00
    • According to one embodiment, 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; means for processing the at least one environmental feature signal and providing at least one processed feature signal, the at least one processed feature signal corresponding to a transformed at least one environmental feature signal; a hosted function configured to provide instructions to the processing means, 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; and a means for displaying the map image.
    • 根据一个实施例,检测系统可以包括位于可封闭空间中的至少一个传感器,每个传感器被配置为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; 用于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的装置,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; 托管功能,被配置为向所述处理装置提供指令,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至少提供地图图像 一个处理后的特征信号; 以及用于显示地图图像的装置。
    • 127. 发明授权
    • Method and apparatus for detecting gas concentration with infrared absorption characteristics
    • 用红外吸收特性检测气体浓度的方法和装置
    • US07351954B2
    • 2008-04-01
    • US11312702
    • 2005-12-20
    • Wei ZhangHuiling ZhouZhigang Wu
    • Wei ZhangHuiling ZhouZhigang Wu
    • G01D18/00G12B13/00
    • G01N21/3504G01N21/05G01N21/276G01N21/3518G01N2021/317G01N2021/3185
    • A method and an apparatus for detecting gas concentration with infrared absorption characteristics have the function of automatic calibration. The function of automatic calibration is accomplished in such a manner that a reference chamber filled with CO2 gas of a known concentration is added in the apparatus; by switching the reference chamber in real-time or periodically into the detecting light path, the measured value of the concentration of CO2 gas in the reference chamber can be obtained; then by comparing the measured value with the standard value of known concentration of CO2 gas, the calibration factor is obtained; once finishing the calibration process, a detecting chamber is switched into the detecting light path so that a concentration of a gas can be detected accurately. In the apparatus of the present invention, the same detecting light path (e.g. the infrared light source, and the light filter, etc.), the same infrared light signal processing unit (e.g. the infrared sensor, the amplification circuit and the single-chip microcomputer system, etc.) are used for both the calibration process and the detection process. Therefore, the negative effect caused by difference of the characteristics of temperature drift of circuit components between different light paths in prior art can be eliminated, and the errors in the detected results by using the apparatus in the present invention is greatly reduced. In addition, the structure of the apparatus in the present invention is relatively simple, resulting in the lower production cost and no necessity for the manual maintenance.
    • 用红外吸收特性检测气体浓度的方法和装置具有自动校准功能。 自动校准的功能以这样的方式完成,使得在设备中加入填充有已知浓度的CO 2气体的参考室; 通过将参考室实时或周期地切换到检测光路中,可以获得参考室中CO 2气体浓度的测量值; 然后通过将测量值与已知浓度的CO 2气体的标准值进行比较,得到校准因子; 一旦完成了校准过程,则将检测室切换到检测光路中,从而能够精确地检测气体的浓度。 在本发明的装置中,相同的检测光路(例如,红外光源和滤光器等),相同的红外光信号处理单元(例如红外传感器,放大电路和单芯片 微机系统等)都用于校准过程和检测过程。 因此,可以消除由现有技术中的不同光路之间的电路部件的温度漂移特性引起的负面影响,并且通过使用本发明的装置的检测结果的误差大大降低。 此外,本发明的装置的结构相对简单,导致生产成本降低,不需要手动维护。
    • 129. 发明申请
    • Method and System for Object Detection Using Probabilistic Boosting Cascade Tree
    • 使用概率提升级联树的对象检测方法和系统
    • US20080071711A1
    • 2008-03-20
    • US11856109
    • 2007-09-17
    • Wei ZhangAdrian BarbuYefeng ZhengDorin Comaniciu
    • Wei ZhangAdrian BarbuYefeng ZhengDorin Comaniciu
    • G06F15/18
    • G06N7/005G06K9/6257G06K2209/053
    • A method and system for object detection using a probabilistic boosting cascade tree (PBCT) is disclosed. A PBCT is a machine learning based classifier having a structure that is driven by training data and determined during the training process without user input. In a PBCT training method, for each node in the PBCT, a classifier is trained for the node based on training data received at the node. The performance of the classifier trained for the node is then evaluated based on the training data. Based on the performance of the classifier, the node is set to either a cascade node or a tree node. If the performance indicates that the data is relatively easy to classify, the node can be set as a cascade node. If the performance indicates that the data is relatively difficult to classify, the node can be set as a tree node. The trained PBCT can then be used to detect objects or classify data. For example, a trained PBCT can be used to detect lymph nodes in CT volume data.
    • 公开了一种使用概率升压级联树(PBCT)进行物体检测的方法和系统。 PBCT是基于机器学习的分类器,其具有由训练数据驱动的结构,并且在训练过程中确定而不需要用户输入。 在PBCT训练方法中,对于PBCT中的每个节点,基于在节点处接收到的训练数据,为节点训练分类器。 然后根据训练数据对针对节点训练的分类器的性能进行评估。 基于分类器的性能,将节点设置为级联节点或树节点。 如果性能指示数据相对容易分类,则可以将节点设置为级联节点。 如果性能指示数据相对较难分类,则可以将节点设置为树节点。 然后,训练有素的PBCT可用于检测对象或对数据进行分类。 例如,训练有素的PBCT可用于检测CT体积数据中的淋巴结。