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    • 3. 发明申请
    • MULTI-GRANULARITY HIERARCHICAL AGGREGATE SELECTION BASED ON UPDATE, STORAGE AND RESPONSE CONSTRAINTS
    • 基于更新,存储和响应约束的多粒度分层聚类选择
    • US20120330996A1
    • 2012-12-27
    • US13169514
    • 2011-06-27
    • Yuan-Chi ChangLawrence KovedChristian A. LangIgor Sominsky
    • Yuan-Chi ChangLawrence KovedChristian A. LangIgor Sominsky
    • G06F17/30
    • G06F17/30551G06F17/30489
    • Techniques are disclosed for multi-granularity hierarchical aggregate selection based on update, storage and response constraints. For example, for a temporal hierarchy of aggregation statistics associated with a plurality of database records, wherein the temporal hierarchy comprises two or more aggregation statistics levels and each level has a different temporal granularity associated therewith, a method comprises iteratively modifying the temporal hierarchy to at least one of: (a) minimize a storage usage cost while satisfying a temporal hierarchy update constraint and a query response time constraint; (b) reduce a temporal hierarchy update time and a query response time while satisfying a storage usage constraint; and (c) minimize a query response time for frequently applied queries that do not shift in time while satisfying the storage usage constraint, wherein the resulting temporal hierarchy that achieves at least one of (a), (b) and (c) is identified as an optimal temporal hierarchy.
    • 公开了基于更新,存储和响应约束的多粒度分级聚合选择的技术。 例如,对于与多个数据库记录相关联的聚合统计的时间层级,其中时间层级包括两个或多个聚合统计级别,并且每个级别具有与之相关联的不同时间粒度,一种方法包括将时间层级迭代地修改为 至少一个:(a)在满足时间层次更新约束和查询响应时间约束的同时最小化存储使用成本; (b)在满足存储使用限制的同时减少时间层次更新时间和查询响应时间; (c)最小化在满足存储使用限制的同时不随时间移动的频繁应用的查询的查询响应时间,其中识别达到(a),(b)和(c)中的至少一个的所得到的时间层级, 作为最优时间层级。
    • 4. 发明授权
    • Multi-granularity hierarchical aggregate selection based on update, storage and response constraints
    • 基于更新,存储和响应约束的多粒度分层聚合选择
    • US08719295B2
    • 2014-05-06
    • US13169514
    • 2011-06-27
    • Yuan-Chi ChangLawrence KovedChristian A. LangIgor Sominsky
    • Yuan-Chi ChangLawrence KovedChristian A. LangIgor Sominsky
    • G06F7/00G06F17/30
    • G06F17/30551G06F17/30489
    • Techniques are disclosed for multi-granularity hierarchical aggregate selection based on update, storage and response constraints. For example, for a temporal hierarchy of aggregation statistics associated with a plurality of database records, wherein the temporal hierarchy comprises two or more aggregation statistics levels and each level has a different temporal granularity associated therewith, a method comprises iteratively modifying the temporal hierarchy to at least one of: (a) minimize a storage usage cost while satisfying a temporal hierarchy update constraint and a query response time constraint; (b) reduce a temporal hierarchy update time and a query response time while satisfying a storage usage constraint; and (c) minimize a query response time for frequently applied queries that do not shift in time while satisfying the storage usage constraint, wherein the resulting temporal hierarchy that achieves at least one of (a), (b) and (c) is identified as an optimal temporal hierarchy.
    • 公开了基于更新,存储和响应约束的多粒度分级聚合选择的技术。 例如,对于与多个数据库记录相关联的聚合统计的时间层级,其中时间层级包括两个或多个聚合统计级别,并且每个级别具有与之相关联的不同时间粒度,一种方法包括将时间层级迭代地修改为 至少一个:(a)在满足时间层次更新约束和查询响应时间约束的同时最小化存储使用成本; (b)在满足存储使用限制的同时减少时间层次更新时间和查询响应时间; (c)最小化在满足存储使用限制的同时不随时间移动的频繁应用的查询的查询响应时间,其中识别达到(a),(b)和(c)中的至少一个的所得到的时间层级, 作为最优时间层级。
    • 8. 发明授权
    • Apparatus and methods for auctioning time and desktop space to product and service suppliers
    • 为产品和服务供应商拍摄时间和桌面空间的设备和方法
    • US07870053B1
    • 2011-01-11
    • US09670446
    • 2000-09-26
    • Lawrence BergmanYuan-Chi ChangRichard HanChung-Sheng LiJohn R. Smith
    • Lawrence BergmanYuan-Chi ChangRichard HanChung-Sheng LiJohn R. Smith
    • G06Q40/00
    • G06Q30/08G06Q30/02G06Q40/04
    • Apparatus and methods for auctioning time and desktop space to product and service suppliers are provided. The apparatus and methods obtain bids from various product and service suppliers and determine which of the bids are the highest ranking bids. The particular product and service suppliers from which bids are obtained may be determined based on user preferences stored in a user profile, for example. Based on the ranking of the bids, commercial information from the product and/or service suppliers is presented to the user. Higher ranking bids are provided with larger display space on a user's client device display and are provided with a longer display time before cycling to the next lower ranking bid. In addition, multiple displays of commercial information may be provided at a same time with the size and duration of the displays being determined based on the ranking of the associated bid from the product/service supplier.
    • 提供了向产品和服务供应商拍卖时间和桌面空间的设备和方法。 设备和方法从各种产品和服务供应商获得投标,并确定哪些出价是最高的出价。 例如,可以基于存储在用户简档中的用户偏好来确定获得投标的特定产品和服务供应商。 基于出价的排名,向用户呈现来自产品和/或服务供应商的商业信息。 更高排名的出价在用户的客户端设备显示器上具有更大的显示空间,并且在循环到下一个较低排名出价之前被提供较长的显示时间。 此外,可以同时提供商业信息的多个显示器,其中显示器的尺寸和持续时间是基于来自产品/服务供应商的相关联的投标的等级来确定的。
    • 10. 发明授权
    • Method and apparatus for opportunistic decision support from intermittent interconnected sensors and data archives
    • 来自间歇性互连传感器和数据档案的机会性决策支持的方法和装置
    • US06915239B2
    • 2005-07-05
    • US10047854
    • 2002-01-16
    • Lawrence D. BergmanYuan-Chi ChangMatthew Leon HillChung-Sheng LiJohn R. Smith
    • Lawrence D. BergmanYuan-Chi ChangMatthew Leon HillChung-Sheng LiJohn R. Smith
    • G01S7/00G06F17/30H04L29/08H04Q9/00
    • H04L67/10G01S7/003H04L67/12H04L67/125H04L69/329
    • Described is a method and apparatus for obtaining accurate, timely information for event detection and prediction based on autonomous opportunism. The objective is to make the best possible use of all available resources at the time of acquisition, including historical data, multiple sensors, and multiresolution acquisition capabilities, under a given set of processing and communication bandwidth constraints. This method (and the corresponding apparatus) fuses multiple adaptively acquired data sources to prepare information for use by decision support models. The onboard data acquisition schedule is constructed to maximize the prediction accuracy of the decision models, which are designed to operate progressively, utilizing data representations consisting of multiple abstraction levels and multiple resolutions. Due to the progressive nature of these models, they can be executed onboard even with the use of substantially summarized (or compressed) datasets delivered from the ground or from other satellite platforms. Models are formulated to accept data with less than complete certainty, thus allowing real-time decisions to be made on locations where additional data is to be acquired based on predicted likelihood of the event of interest and uncertainties. Multi-abstraction-level multi-resolution data is expressed using standard-compliant representations, and progressively transmitted to the ground or other platforms. More detailed calculations can then be performed on the ground using all of the available real time and historical data.
    • 描述了一种用于基于自主机会主义获得准确,及时的事件检测和预测信息的方法和装置。 目标是在给定的一组处理和通信带宽约束下,在获取时尽可能最好地利用所有可用资源,包括历史数据,多个传感器和多分辨率获取功能。 该方法(和相应的装置)融合多个自适应采集的数据源,以准备供决策支持模型使用的信息。 构建车载数据采集计划,以最大化决策模型的预测精度,其被设计为逐步运行,利用由多个抽象级别和多个分辨率组成的数据表示。 由于这些模型的渐进性,即使使用从地面或其他卫星平台传送的基本总结(或压缩)数据集,它们也可以在船上执行。 模型被制定为接受不完全确定性的数据,从而允许根据预期的兴趣事件和不确定性的可能性来获取附加数据的位置进行实时决策。 多抽象级多分辨率数据使用符合标准的表示法表示,并逐渐传输到地面或其他平台。 然后可以使用所有可用的实时和历史数据在地面上执行更详细的计算。