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    • 1. 发明申请
    • Imaging and Locating Systems and Methods for a Swallowable Sensor Device
    • 成像和定位系统和方法的吞咽传感器设备
    • US20080058597A1
    • 2008-03-06
    • US11851179
    • 2007-09-06
    • Michael ARNESONWilliam BandyRoger DavenportKevin Powell
    • Michael ARNESONWilliam BandyRoger DavenportKevin Powell
    • A61B1/00
    • A61B5/073A61B1/00036A61B1/041A61B5/0002A61B5/061A61B5/42
    • The present invention is directed to locating and imaging with a swallowable sensor device disposed in a patient. The swallowable sensor device transmits an acoustic signal from inside a patient's body. A plurality of sensing elements receive the acoustic signal. A computation module determines a location of the swallowable sensor device with respect to the plurality of sensing elements based on the acoustic signal received by at least a subset of the plurality of sensing elements. A three-dimensional image of an interior portion of the patient can also be formed based on the received acoustic signal. The three-dimensional image may be formed by stereoscopically displaying two two-dimensional images of the interior portion, wherein the two two-dimensional images correspond to the swallowable sensor device being located at two different locations. Alternatively, the three-dimensional image may be formed by computing three-dimensional pixels of the interior portion.
    • 本发明涉及使用设置在患者体内的可吞咽传感器装置进行定位和成像。 吞咽传感器装置从患者体内传输声信号。 多个感测元件接收声信号。 计算模块基于由多个感测元件的至少一个子集接收的声信号来确定可吞咽传感器设备相对于多个感测元件的位置。 也可以基于所接收的声信号来形成患者的内部部分的三维图像。 可以通过立体地显示内部部分的两个二维图像来形成三维图像,其中两个二维图像对应于位于两个不同位置处的可吞咽传感器装置。 或者,可以通过计算内部部分的三维像素来形成三维图像。
    • 4. 发明申请
    • Method and apparatus for signal processing in RFID receivers
    • RFID接收机信号处理方法和装置
    • US20070177694A1
    • 2007-08-02
    • US11332220
    • 2006-01-17
    • Yuri OkunevKevin Powell
    • Yuri OkunevKevin Powell
    • H04L27/22
    • H04L27/14
    • The present invention provides methods and apparatuses for demodulation and decoding of backscattered RFID tag signals, represented by their in-phase and quadrature components at the output of the demodulator in the receiver portion of a reader interrogator. Correlation coefficients for the in-phase and quadrature components of the received signal are calculated over a shifted bit interval. Performing a correlation over a shifted bit interval relative to the real bit interval allows the base-band receiver to involve a two-bit interval in making a decision about each transmitted bit. In contrast, in a conventional decoding algorithm, a single bit interval is involved in the decision-making process. Thus, the current method provides a 3 dB energy gain compared to the conventional method. A single zero-mean reference signal is used to compute correlation coefficients, eliminating constant components of the received signal, and simplifying digital implementation of the base-band receiver. A value of the output data is determined based on the combined correlation coefficients.
    • 本发明提供了用于在读取器询问器的接收机部分中的解调器的输出端由其同相和正交分量表示的背散射RFID标签信号的解调和解码的方法和装置。 在移位的位间隔上计算接收信号的同相和正交分量的相关系数。 在相对于实际比特间隔的移位比特间隔执行相关性允许基带接收机涉及两比特间隔以作出关于每个发送比特的决定。 相比之下,在传统的解码算法中,在决策过程中涉及单个位间隔。 因此,与常规方法相比,当前的方法提供了3dB的能量增益。 使用单个零均值参考信号来计算相关系数,消除接收信号的常数分量,并简化基带接收机的数字实现。 基于组合的相关系数确定输出数据的值。
    • 8. 发明申请
    • Named entity recognition using compiler methods
    • 使用编译方法命名实体识别
    • US20060047500A1
    • 2006-03-02
    • US10930131
    • 2004-08-31
    • Kevin HumphreysKevin Powell
    • Kevin HumphreysKevin Powell
    • G06F17/27
    • G06F17/278
    • Methods of identifying named entities in natural language text using machine or computer compiler tools are provided. A lexical analyzer generator such as Flex or Lex or an equivalent tool can be used to generate a recognizer for named entities, such as digits, date expressions, and email or web addresses. Alternatively, a parser generator, such as Yacc or Bison or an equivalent tool can be used to generate a recognizer for other named entities, such as person and company names. Further, a lexical analyzer generated by Flex, Lex, or its equivalent is used in combination with a parser generated by Yacc, Bison, or its equivalent to identify named entities. Multiple lexical analyzers and/or parsers identify one or more classes of named entities, such as email addresses or person names. In many embodiments, recognized named entities can be used to construct at least one index of web pages or documents including named entities that can be accessed by a natural language processing application.
    • 提供使用机器或计算机编译工具识别自然语言文本中的命名实体的方法。 诸如Flex或Lex之类的词法分析器生成器或等效工具可用于生成命名实体的识别器,例如数字,日期表达式和电子邮件或网址。 或者,可以使用解析器生成器(例如Yacc或Bison或等效工具)来生成其他命名实体的识别器,例如人员和公司名称。 此外,由Flex,Lex或其等价物生成的词法分析器与Yacc,Bison或其等同物识别命名实体的解析器结合使用。 多个词汇分析器和/或解析器识别一个或多个命名实体类,例如电子邮件地址或人名。 在许多实施例中,识别的命名实体可用于构建网页或文档的至少一个索引,包括可被自然语言处理应用程序访问的命名实体。
    • 10. 发明申请
    • System and method for performing analysis on word variants
    • 用于对单词变体执行分析的系统和方法
    • US20050091033A1
    • 2005-04-28
    • US10804883
    • 2004-03-19
    • Rene ValdesMaria del Mar Gines MarinKevin PowellAndrea Jessee
    • Rene ValdesMaria del Mar Gines MarinKevin PowellAndrea Jessee
    • G06F17/27G06F17/28
    • G06F17/2755G06F17/273G06F17/2735
    • A computer-readable medium stores a first lexicon data structure for lexicon words. The first data structure includes a host form variant field containing a host form variant such as a clitic host form variant, a host form field containing the host form of the host form variant (only present if the forms differ) such as a clitic host verbal form, and a verification field indicative of whether the host form variant is a valid word. The first data structure also includes a segment association field containing data or segmentation bits associating the host form variant with certain types of attachment entries in the lexicon, which also contain data or segmentation bits, to define valid combinations between the host form variant and at least one of the attachment entries in the lexicon. A second lexicon data structure for each of the attachment entries in the lexicon is also stored.
    • 计算机可读介质存储用于词典词的第一词典数据结构。 第一数据结构包括主机形式变体字段,其包含主体形式变体,例如中性主机形式变体,主机形式字段包含主机形式变体的主机形式(仅在形式不同的情况下存在),例如中立主机语言 表单和指示主机形式变体是否是有效字的验证字段。 第一数据结构还包括分段关联字段,其包含将主机形式变体与词汇中的某些类型的附件条目相关联的数据或分段位,所述附加条目还包含数据或分段位,以在主机形式变体和至少 词典中的附件条目之一。 还存储了词典中每个附件条目的第二个词典数据结构。