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
    • 92. 发明授权
    • Method and apparatus for adaptive rate selection in a communication system
    • 通信系统中自适应速率选择的方法和装置
    • US06760313B1
    • 2004-07-06
    • US09597516
    • 2000-06-19
    • Nagabhushana T. SindhushayanaEduardo A. S. EstevesRashid A. AttarQiang Wu
    • Nagabhushana T. SindhushayanaEduardo A. S. EstevesRashid A. AttarQiang Wu
    • G01R3108
    • H04L1/0002
    • A method and an apparatus for adaptive data rate selection in a high data rate (HDR) communication system are disclosed. An exemplary HDR communication system defines a set of data rates, at which an access point (AP) may transmit data packets to an access terminal (AT). The transmission data rate is selected to maintain target packet error rate (PER). Each AT monitors signal quality metric of signals received from APs. An AT receiving forward link signals from multiple ATs identifies the AT associated with the highest quality forward link signal. The AT then evaluates the rate at which a tail probability of error is greater than or equal to a target tail probability of error. The AT then generates a prediction of a first data rate at which the PER of packets received from the identified AP will not exceed the target PER, and a prediction of a second data rate at which the PER of packets received from the selected AP will exceed the target PER. The AT uses the values of the first and second data rates to predict probabilities of selecting the first and the second data rates such that a throughput of the HDR system is maximized and the target PER is achieved. The predicted probabilities are then utilized as biases for a method identifying whether the first data rate or the second data rate will be requested from the AP. The disclosed method and apparatus may be extended to the full set of available data rates.
    • 公开了一种在高数据速率(HDR)通信系统中进行自适应数据速率选择的方法和装置。 示例性HDR通信系统定义了一组数据速率,接入点(AP)可在该组数据速率上向接入终端(AT)发送数据分组。 选择传输数据速率以维持目标分组错误率(PER)。 每个AT监视从AP接收的信号的信号质量度量。 从多个AT接收前向链路信号的AT识别与最高质量的前向链路信号相关联的AT。 AT然后评估误差的概率大于或等于目标尾部误差概率的速率。 然后,AT产生对从所识​​别的AP接收的分组的PER不超过目标PER的第一数据速率的预测,以及从所选择的AP接收的分组的PER将超过的第二数据速率的预测 目标PER。 AT使用第一和第二数据速率的值来预测选择第一和第二数据速率的概率,使得HDR系统的吞吐量最大化并且实现目标PER。 然后,将预测概率用作用于识别从AP请求第一数据速率或第二数据速率的方法的偏差。 所公开的方法和装置可以扩展到全部可用数据速率。
    • 93. 发明授权
    • Circuit electrode connected to a pattern formed on an organic substrate and method of forming the same
    • 连接到有机基板上形成的图案的电路电极及其形成方法
    • US06259161B1
    • 2001-07-10
    • US09444825
    • 1999-11-22
    • Qiang WuYoshihiro Tomita
    • Qiang WuYoshihiro Tomita
    • H01L2348
    • H05K3/244H01L23/49811H01L2924/0002H01L2924/00
    • There is described a circuit electrode formed in an integrated circuit package, which imparts sufficient bonding strength to a soldered section and prevents oxidation of the surface of an Ni—P film without fail. A circuit electrode to be electrically connected to a pattern formed on an organic substrate is formed. An electroless high-concentration Ni—P plating film containing phosphorous at a concentration of 7 to 12 wt. % is formed to a thickness of 3 to 10 &mgr;m so as to cover predetermined portions of the pattern. An electroless low-concentration Ni—P plating film containing phosphorous at a concentration of 3 wt. % or less is formed to a thickness of 0.5 to 10 &mgr;m so as to cover the electroless high-concentration Ni—P plating film. An electroless gold plating film is formed, as an oxidation prevention film, to a thickness of 0.05 to 0.5 &mgr;m so as to cover the surface of the electroless low-concentration Ni—P plating film.
    • 描述了一种形成在集成电路封装中的电路电极,其赋予焊接部分足够的接合强度,并且防止Ni-P膜的表面的氧化没有失败。 形成与形成在有机基板上的图案电连接的电路电极。 含有浓度为7〜12重量%的磷的无电解高浓度Ni-P镀膜。 %形成为3〜10μm的厚度,以覆盖图案的预定部分。 含有浓度为3重量%的磷的无电解低浓度Ni-P镀膜 %以下的厚度形成为0.5〜10μm的厚度,以覆盖无电解高浓度Ni-P镀膜。 作为防氧化膜形成厚度为0.05〜0.5μm的无电镀金膜,以覆盖无电解低浓度Ni-P镀膜的表面。
    • 98. 发明授权
    • Click-through prediction for news queries
    • 新闻查询的点击式预测
    • US08719298B2
    • 2014-05-06
    • US12469692
    • 2009-05-21
    • Arnd Christian KonigMichael GamonQiang WuRoger P. MenezesMonwhea Jeng
    • Arnd Christian KonigMichael GamonQiang WuRoger P. MenezesMonwhea Jeng
    • G06F17/30
    • G06F17/30864
    • Described is estimating whether an online search query is a news-related query, and if so, outputting news-related results in association with other search results returned in response to the query. The query is processed into features, including by accessing corpora that corresponds to relatively current events, e.g., recently crawled from news and blog articles. A corpus of static reference data, such as an online encyclopedia, may be used to help determine whether the query is less likely to be about current events. Features include frequency-related data and context-related data corresponding to frequency and context information maintained in the corpora. Additional features may be obtained by processing text of the query itself, e.g., “query-only” features.
    • 描述了估计在线搜索查询是否是新闻相关查询,如果是,则输出与响应于该查询返回的其他搜索结果相关联的新闻相关结果。 该查询被处理成特征,包括通过访问对应于相对当前事件的语料库,例如最近从新闻和博客文章中爬行。 可以使用诸如在线百科全书的静态参考数据的语料库来帮助确定查询是否不太可能关于当前事件。 特征包括频率相关数据和对应于语料库中维护的频率和上下文信息的上下文相关数据。 可以通过处理查询本身的文本,例如“仅查询”特征来获得附加特征。
    • 100. 发明授权
    • Shopping search engines
    • 购物搜索引擎
    • US08700592B2
    • 2014-04-15
    • US12757095
    • 2010-04-09
    • Satya Pradeep KanduriMarcelo De BarrosMikhail ParakhinCynthia YuQiang Wu
    • Satya Pradeep KanduriMarcelo De BarrosMikhail ParakhinCynthia YuQiang Wu
    • G06F17/30
    • G06F17/30867
    • A web search system uses humans to rank the relevance of results returned for various sample search queries. The search results may be divided into groups allowing training and validation with the ranked results. Consistent guidelines for human evaluation allow consistent results across a number of people performing the ranking. After a machine learning categorization tool, such as MART, has been programmed and validated, it may be used to provide an absolute rank of relevance for documents returned, rather than a simple relative ranking, based, for example, on key word matches and click counts. Documents with lower relevance rankings may be excluded from consideration when developing related refinements, such as category and price sorting.
    • 网络搜索系统使用人类对各种样本搜索查询返回的结果的相关性进行排名。 搜索结果可以分为允许训练和验证与排名结果的组。 一致的人类评估指南可以让许多执行排名的人员获得一致的结果。 在机器学习分类工具(例如MART)已经被编程和验证之后,它可以用于提供返回的文档的绝对等级,而不是基于例如关键词匹配和点击的简单的相对排名 计数 具有较低相关性排名的文件可能在开发相关改进(例如类别和价格排序)时被排除在考虑之外。