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公开(公告)号：US07707060B2
公开(公告)日：2010-04-27
申请号：US10645128
申请日：2003-08-21
CPC分类号： G06Q30/0201 , G06Q30/02
摘要： Products include autonomic logic to self-monitor one or more parameters associated with the products to provide product usage information. Data relating to the product usage information generated by the products is automatically disseminated to interested entities. The interested entities may analyze the provided data and automatically forward information relating to the provided data back towards the products. The interested entities may also effect changes to products based on the data.
摘要翻译： 产品包括自主逻辑，以自我监测与产品相关联的一个或多个参数以提供产品使用信息。 与产品生成的产品使用信息相关的数据将自动传播给感兴趣的实体。 感兴趣的实体可以分析提供的数据，并将与提供的数据相关的信息自动转发回产品。 感兴趣的实体也可能会根据数据影响对产品的更改。
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2.发明授权Grouping of storage media based on parameters associated with the storage media 有权基于与存储介质相关的参数对存储介质进行分组公开(公告)号：US07191283B2
公开(公告)日：2007-03-13
申请号：US10645129
申请日：2003-08-21
IPC分类号： G06F13/10
CPC分类号： G06F3/0629 , G06F3/0605 , G06F3/0689 , G06F11/1096
摘要： Storage media of a storage system are grouped into one or more groups based upon parameters associated with the storage media. Various parameters may be taken into consideration depending upon the criteria selected for the grouping. At least one grouping criterion is selected, and based on the grouping criterion, one or more parameters are measured. Then, using the measured data, a plurality of storage media are placed into one or more groups. The groups may then be used to form Redundant Array of Independent Disks (RAID) arrays employed in the storage system.
摘要翻译： 存储系统的存储介质基于与存储介质相关联的参数被分组成一个或多个组。 可以根据为分组选择的标准考虑各种参数。 选择至少一个分组标准，并且基于分组标准，测量一个或多个参数。 然后，使用测量数据，将多个存储介质放置到一个或多个组中。 然后可以将组用于形成在存储系统中采用的独立磁盘冗余阵列（RAID）阵列。
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公开(公告)号：US09715710B2
公开(公告)日：2017-07-25
申请号：US11693999
申请日：2007-03-30
申请人： Yasuo Amemiya , Jonathan R. M. Hosking , Wanli Min , Laura Wynter
发明人： Yasuo Amemiya , Jonathan R. M. Hosking , Wanli Min , Laura Wynter
摘要： A method (and system) for providing a forecast, the method including providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across all categories at the lowest level of the first dimension based upon an aggregation of the calculated forecasts for each category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and storing the difference in a dummy category at the lowest level of the first dimension.
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4.发明申请METHOD AND SYSTEM FOR FORECASTING USING AN ONLINE ANALYTICAL PROCESSING DATABASE 有权使用在线分析处理数据库进行预测的方法和系统公开(公告)号：US20080243660A1
公开(公告)日：2008-10-02
申请号：US11693999
申请日：2007-03-30
申请人： Yasuo Amemiya , Jonathan R. M. Hosking , Wanli Min , Laura Wynter
发明人： Yasuo Amemiya , Jonathan R. M. Hosking , Wanli Min , Laura Wynter
IPC分类号： G06Q40/00
摘要： A method (and system) for providing a forecast, the method including providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across all categories at the lowest level of the first dimension based upon an aggregation of the calculated forecasts for each category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and storing the difference in a dummy category at the lowest level of the first dimension.
摘要翻译： 一种用于提供预测的方法（和系统），所述方法包括提供在第一维度中存储数据的多维数据库，计算高于第一维度中的最低级别的级别的第一预测 数据库，计算在第一维度的最低级别内的每个类别的预测，基于在所述第一维度的最低级别内的每个类别的所计算的预测的聚合来聚合所述第一维度的最低级别的所有类别的第二预测 第一维度，确定第一预测和第二预测之间的差异，以及将差值存储在第一维度的最低水平处。
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公开(公告)号：US20050043978A1
公开(公告)日：2005-02-24
申请号：US10645128
申请日：2003-08-21
申请人： Timothy Chainer , Yasuo Amemiya , Steven Depp
发明人： Timothy Chainer , Yasuo Amemiya , Steven Depp
CPC分类号： G06Q30/0201 , G06Q30/02
摘要： Products include autonomic logic to self-monitor one or more parameters associated with the products to provide product usage information. Data relating to the product usage information generated by the products is automatically disseminated to interested entities. The interested entities may analyze the provided data and automatically forward information relating to the provided data back towards the products. The interested entities may also effect changes to products based on the data.
摘要翻译： 产品包括自主逻辑，以自我监测与产品相关联的一个或多个参数以提供产品使用信息。 与产品生成的产品使用信息相关的数据将自动传播给感兴趣的实体。 感兴趣的实体可以分析提供的数据，并将与提供的数据相关的信息自动转发回产品。 感兴趣的实体也可能会根据数据影响对产品的更改。
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公开(公告)号：US08849630B2
公开(公告)日：2014-09-30
申请号：US12146952
申请日：2008-06-26
申请人： Yasuo Amemiya , Hendrik F. Hamann , Walter Hirt , Ying Hung , Jing Shen
发明人： Yasuo Amemiya , Hendrik F. Hamann , Walter Hirt , Ying Hung , Jing Shen
CPC分类号： G06F1/206 , G06F17/5009 , H05K7/20836 , Y02D10/16
摘要： Techniques for monitoring and predicting environmental operating conditions in a data center are provided. In one aspect, a method for real-time, three-dimensional analysis of environmental operating conditions in a data center includes the following steps. High spatial resolution three-dimensional measurements of one or more environmental variables in the data center made at a time t1 are obtained. Real-time measurements of the environmental variables in the data center made at a time t2, wherein t2 is later in time than t1, are obtained. The high spatial resolution three-dimensional measurements are combined with the real-time measurements to derive a model for the environmental variables in the data center at the time t2. The model is used to predict three-dimensional distributions of the environmental variables in the data center at the time t2. A base model can be created and used to derive the model for the data center at the time t2.
摘要翻译： 提供了一种用于监测和预测数据中心环境操作条件的技术。 一方面，用于对数据中心中的环境操作条件进行实时，三维分析的方法包括以下步骤。 获得了在时间t1进行的数据中心中的一个或多个环境变量的高空间分辨率三维测量。 在t2时刻对数据中心的环境变量进行实时测量，其中t2时间晚于t1。 将高空间分辨率三维测量与实时测量结合，以在时间t2导出数据中心中的环境变量的模型。 该模型用于预测时间t2的数据中心环境变量的三维分布。 可以创建基本模型并用于在时间t2导出数据中心的模型。
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7.发明授权Method and structure for vehicular traffic prediction with link interactions 有权具有链路相互作用的车辆交通预测方法与结构公开(公告)号：US07953544B2
公开(公告)日：2011-05-31
申请号：US11626592
申请日：2007-01-24
申请人： Yasuo Amemiya , Wanli Min , Laura Wynter
发明人： Yasuo Amemiya , Wanli Min , Laura Wynter
CPC分类号： G08G1/0104
摘要： A method and structure for predicting traffic on a network, includes a receiver which receives data related to traffic on at least a portion of a network. A calculator calculates a traffic prediction for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network.
摘要翻译： 一种用于预测网络上的业务的方法和结构，包括在网络的至少一部分上接收与业务有关的数据的接收机。 计算器计算网络的至少一部分的流量预测，通过使用与网络上的历史流量的偏差来计算流量预测。
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公开(公告)号：US20090326884A1
公开(公告)日：2009-12-31
申请号：US12146952
申请日：2008-06-26
申请人： Yasuo Amemiya , Hendrik F. Hamann , Walter Hirt , Ying Hung , Jing Shen
发明人： Yasuo Amemiya , Hendrik F. Hamann , Walter Hirt , Ying Hung , Jing Shen
CPC分类号： G06F1/206 , G06F17/5009 , H05K7/20836 , Y02D10/16
摘要： Techniques for monitoring and predicting environmental operating conditions in a data center are provided. In one aspect, a method for real-time, three-dimensional analysis of environmental operating conditions in a data center includes the following steps. High spatial resolution three-dimensional measurements of one or more environmental variables in the data center made at a time t1 are obtained. Real-time measurements of the environmental variables in the data center made at a time t2, wherein t2 is later in time than t1, are obtained. The high spatial resolution three-dimensional measurements are combined with the real-time measurements to derive a model for the environmental variables in the data center at the time t2. The model is used to predict three-dimensional distributions of the environmental variables in the data center at the time t2. A base model can be created and used to derive the model for the data center at the time t2.
摘要翻译： 提供了一种用于监测和预测数据中心环境操作条件的技术。 一方面，用于对数据中心中的环境操作条件进行实时，三维分析的方法包括以下步骤。 获得了在时间t1进行的数据中心中的一个或多个环境变量的高空间分辨率三维测量。 在t2时刻对数据中心的环境变量进行实时测量，其中t2时间晚于t1。 将高空间分辨率三维测量与实时测量结合，以在时间t2导出数据中心中的环境变量的模型。 该模型用于预测时间t2的数据中心环境变量的三维分布。 可以创建基本模型并用于在时间t2导出数据中心的模型。
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9.发明申请公开(公告)号：US20080175161A1
公开(公告)日：2008-07-24
申请号：US11626592
申请日：2007-01-24
申请人： Yasuo Amemiya , Wanli Min , Laura Wynter
发明人： Yasuo Amemiya , Wanli Min , Laura Wynter
IPC分类号： H04J1/16
CPC分类号： G08G1/0104
摘要： A method and structure for predicting traffic on a network, includes a receiver which receives data related to traffic on at least a portion of a network. A calculator calculates a traffic prediction for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network.
摘要翻译： 一种用于预测网络上的业务的方法和结构，包括在网络的至少一部分上接收与业务有关的数据的接收机。 计算器计算网络的至少一部分的流量预测，通过使用与网络上的历史流量的偏差来计算流量预测。
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10.发明申请PERIODIC REVENUE FORECASTING FOR MULTIPLE LEVELS OF AN ENTERPRISE USING DATA FROM MULTIPLE SOURCES 审中-公开使用多个来源的数据为企业的多个级别预测的定期收入公开(公告)号：US20080167942A1
公开(公告)日：2008-07-10
申请号：US11620678
申请日：2007-01-07
申请人： Yasuo Amemiya , Jonathan R. M. Hosking , Wanli Min , Laura Wynter
发明人： Yasuo Amemiya , Jonathan R. M. Hosking , Wanli Min , Laura Wynter
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： An embodiment of the present invention proposes to describe an enterprise or company in terms of its structure and represent that structure in performing revenue forecasts for the enterprise or company. Mapping the company structure in a multi-dimensional matrix, for example, can represent that structure. The revenue forecasting method is novel in that forecasts for any level of the enterprise or company make use of data and previous forecasts for that and other elements of the structure. In this way, the method improves upon existing methods by leveraging information contained in some data on other data, and learning the relations between them.
摘要翻译： 本发明的一个实施例提出了在其结构方面描述企业或公司，并表示对企业或公司进行收入预测的结构。 例如，在多维矩阵中映射公司结构可以表示该结构。 收入预测方法是新颖的，因为任何级别的企业或公司的预测都会使用数据和以前的预测结果的其他要素。 以这种方式，该方法通过利用一些数据中包含的关于其他数据的信息，并学习它们之间的关系来改进现有方法。
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