LIQUID STORAGE DEVICE
    72.
    发明申请
    LIQUID STORAGE DEVICE 有权
    液体储存装置

    公开(公告)号:US20130174919A1

    公开(公告)日:2013-07-11

    申请号:US13701903

    申请日:2012-06-13

    Abstract: The present invention provides a liquid storage device relates to the field of semiconductor manufacturing technology comprising: a liquid storage tank, a liquid intake tube, a liquid discharge tube and a gas discharge tube; the liquid intake tube, the liquid discharge tube and the gas discharge tube are all connected with the liquid storage tank; the liquid storage device also comprises a gas compensating tube connected with the liquid storage tank; the gas compensating tube comprises a differential pressure mechanism and a gas storage tank; one end of the differential pressure mechanism is connected with the liquid storage tank, and the other end is connected with the gas storage tank; the differential pressure mechanism is used for controlling the connection or disconnection between the liquid storage tank and the gas storage tank according to the pressure difference therebetween.

    Abstract translation: 本发明提供一种与半导体制造技术领域相关的液体储存装置,包括:液体储存箱,液体进入管,液体排出管和气体放电管; 液体吸入管,液体排出管和气体放电管均与储液罐连接; 液体储存装置还包括与液体储存罐连接的气体补偿管; 气体补偿管包括压差机构和储气罐; 差压机构的一端与储液箱连接,另一端与储气罐连接; 差压机构用于根据它们之间的压力差来控制储液箱与储气罐之间的连接或断开。

    Image recognition algorithm, method of identifying a target image using same, and method of selecting data for transmission to a portable electronic device
    73.
    发明授权
    Image recognition algorithm, method of identifying a target image using same, and method of selecting data for transmission to a portable electronic device 有权
    图像识别算法,使用其识别目标图像的方法以及选择用于传输到便携式电子设备的数据的方法

    公开(公告)号:US08391615B2

    公开(公告)日:2013-03-05

    申请号:US12315405

    申请日:2008-12-02

    CPC classification number: G06K9/6292 G06K9/00664 G10L15/26

    Abstract: An image recognition algorithm includes a keypoints-based comparison and a region-based color comparison. A method of identifying a target image using the algorithm includes: receiving an input at a processing device, the input including data related to the target image; performing a retrieving step including retrieving an image from an image database, and, until the image is either accepted or rejected, designating the image as a candidate image; performing an image recognition step including using the processing device to perform an image recognition algorithm on the target and candidate images in order to obtain an image recognition algorithm output; and performing a comparison step including: if the image recognition algorithm output is within a pre-selected range, accepting the candidate image as the target image; and if the image recognition algorithm output is not within the pre-selected range, rejecting the candidate image and repeating the retrieving, image recognition, and comparison steps.

    Abstract translation: 图像识别算法包括基于关键点的比较和基于区域的颜色比较。 使用所述算法识别目标图像的方法包括:在处理装置处接收输入,所述输入包括与所述目标图像有关的数据; 执行检索步骤,包括从图像数据库检索图像,并且直到图像被接受或拒绝为止,将图像指定为候选图像; 执行图像识别步骤,包括使用所述处理装置对所述目标图像和候选图像执行图像识别算法,以获得图像识别算法输出; 并且执行比较步骤,包括:如果图像识别算法输出在预选范围内,则接受候选图像作为目标图像; 并且如果图像识别算法输出不在预选范围内,则拒绝候选图像并重复检索,图像识别和比较步骤。

    METHOD FOR PREPARING ULTRAFINE TUNGSTEN CARBIDE POWDER
    74.
    发明申请
    METHOD FOR PREPARING ULTRAFINE TUNGSTEN CARBIDE POWDER 有权
    制备超磁铁碳化钨粉的方法

    公开(公告)号:US20130004407A1

    公开(公告)日:2013-01-03

    申请号:US13509621

    申请日:2009-12-30

    CPC classification number: C01B31/34 C01B32/949

    Abstract: A method for preparing ultrafine powder of tungsten carbide using ultrafine tungsten powder and carbon black as raw materials is provided. The following steps are included: (1) passivation of the ultrafine tungsten powder: passivating the ultrafine tungsten powder under pure carbon dioxide; (2) carbon addition: mixing the ultrafine tungsten powder with carbon black powder after applying cooling water and inert gases; (3) carbonization: synthesizing the bulk tungsten carbide powder at high temperature in a carbonizing stove; (4) crushing and sieving: crushing the bulk tungsten carbide powder, cooling and sieving to obtain the ultrafine powder of tungsten carbide.

    Abstract translation: 提供了一种使用超细钨粉和炭黑作为原料制备碳化钨超细粉末的方法。 包括以下步骤:(1)超细钨粉钝化:在纯二氧化碳下钝化超细钨粉; (2)碳添加:使用冷却水和惰性气体后,将超细钨粉与炭黑粉末混合; (3)碳化:在碳化炉中高温合成本体碳化钨粉末; (4)破碎筛分:粉碎散装碳化钨粉末,冷却筛分得到超细碳化钨粉末。

    Methods and apparatus for retrieving images from a large collection of images
    76.
    发明授权
    Methods and apparatus for retrieving images from a large collection of images 有权
    从大量图像中检索图像的方法和装置

    公开(公告)号:US08200027B2

    公开(公告)日:2012-06-12

    申请号:US12952923

    申请日:2010-11-23

    CPC classification number: G06K9/6253 G06F17/30256 G06F17/30259

    Abstract: An image retrieval program (IRP) may be used to query a collection of digital images. The IRP may include a mining module to use local and global feature descriptors to automatically rank the digital images in the collection with respect to similarity to a user-selected positive example. Each local feature descriptor may represent a portion of an image based on a division of that image into multiple portions. Each global feature descriptor may represent an image as a whole. A user interface module of the IRP may receive input that identifies an image as the positive example. The user interface module may also present images from the collection in a user interface in a ranked order with respect to similarity to the positive example, based on results of the mining module. Query concepts may be saved and reused. Other embodiments are described and claimed.

    Abstract translation: 图像检索程序(IRP)可用于查询数字图像的集合。 IRP可以包括挖掘模块,以使用本地和全局特征描述符来相对于用户选择的积极示例的相似度来自动地对集合中的数字图像进行排序。 每个局部特征描述符可以基于将该图像划分成多个部分来表示图像的一部分。 每个全局特征描述符可以表示整个图像。 IRP的用户界面模块可以接收标识图像的输入作为正例。 基于挖掘模块的结果,用户界面模块还可以根据与正面示例的相似性的排序顺序在用户界面中从集合中呈现图像。 查询概念可能被保存和重用。 描述和要求保护其他实施例。

    Method, Mobile Device and Communication System to Determine the Type of a Network Node
    78.
    发明申请
    Method, Mobile Device and Communication System to Determine the Type of a Network Node 审中-公开
    方法,移动设备和通信系统来确定网络节点的类型

    公开(公告)号:US20110141905A1

    公开(公告)日:2011-06-16

    申请号:US13002914

    申请日:2008-07-09

    CPC classification number: H04W48/08 H04W48/16 H04W84/047

    Abstract: A network node, a mobile device, a communication system, a method for detecting the type of a network node, the method for transmitting the type of a network node and the use of a data frame for determining the type of a network node is described. To distinguish between different types of network nodes, a signal pattern including an attribute is transmitted/received. The attribute is type-indicative of the type of the network node. Different ways of implementing the type-indicative attribute are described.

    Abstract translation: 描述网络节点,移动设备,通信系统,用于检测网络节点的类型的方法,用于发送网络节点的类型的方法以及用于确定网络节点的类型的数据帧的使用 。 为了区分不同类型的网络节点,发送/接收包括属性的信号模式。 该属性是指示网络节点类型的类型。 描述了实现类型指示属性的不同方法。

    Differentiation for bandwidth request contention
    79.
    发明授权
    Differentiation for bandwidth request contention 失效
    区分带宽请求争用

    公开(公告)号:US07843943B2

    公开(公告)日:2010-11-30

    申请号:US12046408

    申请日:2008-03-11

    Abstract: The present disclosure relates to a method and an apparatus for bandwidth contention differentiation comprising: determining a service type of a bandwidth request, setting a priority of the bandwidth request based on the determined service type, and providing contention differentiation based on the set priority.

    Abstract translation: 本发明涉及一种用于带宽争用差分的方法和装置,包括:确定带宽请求的服务类型,基于所确定的服务类型来设置带宽请求的优先级,并且基于所设置的优先级提供竞争差异化。

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