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    OPTIMIZING EVALUATION PATTERNS AND DATA ACQUISITION FOR STREAM ANALYTICS IN RESOURCE-CONSTRAINED WIRELESS ENVIRONMENTS
    3.
    发明申请
    OPTIMIZING EVALUATION PATTERNS AND DATA ACQUISITION FOR STREAM ANALYTICS IN RESOURCE-CONSTRAINED WIRELESS ENVIRONMENTS 有权
    资源约束无线环境中流动分析的优化评估模式和数据采集

    公开(公告)号：US20120002733A1

    公开(公告)日：2012-01-05

    申请号：US12827118

    申请日：2010-06-30

    申请人： Archan Misra ,  Benjamin Falchuk ,  Atanu Roy Chowdhury

    发明人： Archan Misra ,  Benjamin Falchuk ,  Atanu Roy Chowdhury

    IPC分类号： H04L27/00

    CPC分类号： H04L65/60 ,  H04N21/4516 ,  H04W28/06 ,  H04W52/0219 ,  H04W72/12 ,  Y02D70/00 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/162 ,  Y02D70/164

    摘要： Mobile wireless devices may receive data streams from multiple remote sensors. The sensors may have limited power supplies and memory capacity. Aspects of the invention use statistical characteristics of the sensor data streams and the cost of acquiring a single element of each stream to determine what sequence the sensors should send their data streams in. The cost of acquiring the data may be, modified dynamically, depending on parameters such as block size. Additional factors, such as a sensor's buffer capacity, may limit the amount of stream elements that may be cached and affect the sensors' stream transmit sequence. The evaluation order may be dynamically modified using an event processing engine, to reflect both changing statistics of underlying sensor stream tuples and time-varying acquisition costs associated with individual streams. This helps to increase in the operational lifetime of the sensors and associated monitoring applications.

    摘要翻译： 移动无线设备可以从多个远程传感器接收数据流。 传感器可能具有有限的电源和存储容量。 本发明的方面使用传感器数据流的统计特性和获取每个流的单个元素的成本来确定传感器应该发送其数据流的顺序。获取数据的成本可以根据 参数如块大小。 附加因素，如传感器的缓冲区容量，可能会限制可能被缓存的流元素的数量，并影响传感器的流传输顺序。 可以使用事件处理引擎来动态地修改评估顺序，以反映底层传感器流元组的变化的统计信息和与各个流相关联的时变获取成本。 这有助于增加传感器和相关监控应用的使用寿命。

    ENABLING CAPTURE, TRANSMISSION AND RECONSTRUCTION OF RELATIVE CAUSITIVE CONTEXTURAL HISTORY FOR RESOURCE-CONSTRAINED STREAM COMPUTING APPLICATIONS
    4.
    发明申请
    ENABLING CAPTURE, TRANSMISSION AND RECONSTRUCTION OF RELATIVE CAUSITIVE CONTEXTURAL HISTORY FOR RESOURCE-CONSTRAINED STREAM COMPUTING APPLICATIONS 审中-公开
    启动资源约束流程计算应用的相对原理现状历史的传播和传播

    公开(公告)号：US20110238379A1

    公开(公告)日：2011-09-29

    申请号：US12893402

    申请日：2010-09-29

    申请人： Archan Misra ,  Benjamin Falchuk ,  Atanu Roy Chowdhury

    发明人： Archan Misra ,  Benjamin Falchuk ,  Atanu Roy Chowdhury

    IPC分类号： G06F17/40

    CPC分类号： G06F19/3418

    摘要： A scalable middleware for supporting energy-efficient, long-term remote health monitoring and the capture and transmission of relative causative contextual history where data is collected using physiological sensors and transported back to the middleware through a mobile device serving as a gateway. The key to energy efficient operations lies in the adoption of an Activity Triggered Deep Monitoring paradigm, where data collection episodes are triggered only when the system is determined to possess a specified set of causative contexts. The system supports on-demand collection of causative contextual history using a low-overhead provenance collection sub-system. In a preferred embodiment the behavior of this sub-system is configured using an application-defined context composition graph. The resulting causative context history stream provides valuable insight into the states and conditions surround sensor readings and allows improved human interpretation of the ‘episodic’ sensor data streams.

    摘要翻译： 一种可扩展的中间件，用于支持节能，长期的远程健康监测以及捕获和传输相对致命的语境历史，其中使用生理传感器收集数据，并通过作为网关的移动设备运送回中间件。 能源效率运营的关键在于采用活动触发深度监测模式，其中数据收集事件只有在系统被确定拥有一组特定的因果关系时才被触发。 该系统使用低架构来源收集子系统支持按需收集致命性语境历史。 在优选实施例中，使用应用定义的上下文组合图来配置该子系统的行为。 所产生的因果关系历史流提供了对传感器读数周围的状态和条件的有价值的了解，并且允许改进人类对“偶发”传感器数据流的解释。

    Non-polymeric organic particles for chemical mechanical planarization
    5.
    发明授权
    Non-polymeric organic particles for chemical mechanical planarization 失效
    用于化学机械平面化的非聚合有机颗粒

    公开(公告)号：US07037351B2

    公开(公告)日：2006-05-02

    申请号：US10734232

    申请日：2003-12-15

    申请人： Yuzhuo Li ,  Atanu Roy Chowdhury ,  Kwok Tang ,  Guomin Bian ,  Krishnayya Cheemalapati

    发明人： Yuzhuo Li ,  Atanu Roy Chowdhury ,  Kwok Tang ,  Guomin Bian ,  Krishnayya Cheemalapati

    IPC分类号： C09G1/02 ,  H01L21/321 ,  H01L21/306

    CPC分类号： H01L21/3212 ,  C09G1/02 ,  C09K3/1409 ,  C09K3/1463

    摘要： An abrasive composition comprising non-polymeric organic particles that is useful for chemical mechanical planarization (CMP), and which can widely be used in the semiconductor industry. The inventive compositions preferably comprise soft water in combination with 0.001–20 w/w % of non-polymeric organic particles, 0.1–10 w/w % of an oxidizing agent, 0.05–10 w/w % of a chelating agent, 0.01–10 w/w % of a surfactant, and 0–10 w/w % of a passivation agent at a pH in the range of 2–12, wherein said percentages are w/w (weight/weight) percentages, based on the total weight of said compositions. The abrasive compositions provide an efficient polishing rate, excellent selectivity and good surface quality when utilized as a new abrasive composition in CMP applications.

    摘要翻译： 包含可用于化学机械平面化（CMP）的非聚合有机颗粒并且可广泛用于半导体工业中的磨料组合物。 本发明的组合物优选包含与0.001-20w / w％的非聚合有机颗粒，0.1-10w / w％的氧化剂，0.05-10w / w％的螯合剂，0.01- 10w / w％的表面活性剂和0-10w / w％的钝化剂，其pH为2-12，其中所述百分比是w / w（重量/重量）百分比，基于总计 所述组合物的重量。 当用作CMP应用中的新磨料组合物时，磨料组合物提供了有效的抛光速率，优异的选择性和良好的表面质量。