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公开(公告)号：US08577776B2
公开(公告)日：2013-11-05
申请号：US13618121
申请日：2012-09-14
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/00
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译： 描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。 该方法包括与帐户相关联的客户的帐户级历史数据收集作为投资组合的一部分。 账户级别的历史数据被分为具有相似收入和损失特征的客户群体。 分段数据分解为调味料，复古和循环效应。 基于数据和效果形成统计群集。 将仿真应用于统计集群，生成预测数据。 开发了一种预测和模拟收入和损失波动率的模拟策略。 在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。
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公开(公告)号：US08326723B2
公开(公告)日：2012-12-04
申请号：US12546807
申请日：2009-08-25
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/00
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译： 描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。 该方法包括客户细分，以便在收入和损失特征方面创建同质资产池，前瞻性模拟以预测收益和损失的预期值和波动率，以及投资组合的风险和报酬优化。 用于建模收入和损失的一种方法是广义加和效应分解模型，以适应历史数据。 基于该模型，执行分割程序，其允许创建具有类似收入和损失特征的客户群体。 开发了模型的估计程序，并开发了一种预测和模拟收入和损失波动性的模拟策略。 在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。
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公开(公告)号：US20100293107A1
公开(公告)日：2010-11-18
申请号：US12546807
申请日：2009-08-25
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/00
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译： 描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。 该方法包括客户细分，以便在收入和损失特征方面创建同质资产池，前瞻性模拟以预测收益和损失的预期值和波动率，以及投资组合的风险和报酬优化。 用于建模收入和损失的一种方法是广义加和效应分解模型，以适应历史数据。 基于该模型，执行分割程序，其允许创建具有类似收入和损失特征的客户群体。 开发了模型的估计程序，并开发了一种预测和模拟收入和损失波动性的模拟策略。 在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。
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公开(公告)号：US20130073481A1
公开(公告)日：2013-03-21
申请号：US13618121
申请日：2012-09-14
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawa , Jocelyn Sikora , Harsh Singhal , Kiran Vuppo , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawa , Jocelyn Sikora , Harsh Singhal , Kiran Vuppo , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/06
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译： 描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。 该方法包括与帐户相关联的客户的帐户级历史数据收集作为投资组合的一部分。 账户级别的历史数据被分为具有相似收入和损失特征的客户群体。 分段数据分解为调味料，复古和循环效应。 基于数据和效果形成统计群集。 将仿真应用于统计集群，生成预测数据。 开发了一种预测和模拟收入和损失波动率的模拟策略。 在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。
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公开(公告)号：US07765139B2
公开(公告)日：2010-07-27
申请号：US11848227
申请日：2007-08-30
申请人： Timothy J. Breault , Ulrich A. Bruns , John Delmonico , Shelly X. Ennis , Ruilong He , Glenn B. Jones , WeiCheng Liu , Elaine C. Marino , Arun R. Pinto , Meghan A. Steach , Agus Sudjianto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Shuchun Wang , Hungjen Wang , Aijun Zhang
发明人： Timothy J. Breault , Ulrich A. Bruns , John Delmonico , Shelly X. Ennis , Ruilong He , Glenn B. Jones , WeiCheng Liu , Elaine C. Marino , Arun R. Pinto , Meghan A. Steach , Agus Sudjianto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Shuchun Wang , Hungjen Wang , Aijun Zhang
IPC分类号： G06Q40/00
CPC分类号： G06Q30/02 , G06Q40/00 , G06Q40/025 , G06Q40/06
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译： 描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。 该方法包括客户细分，以便在收入和损失特征方面创建同质资产池，前瞻性模拟以预测收益和损失的预期值和波动率，以及投资组合的风险和报酬优化。 用于建模收入和损失的一种方法是广义加和效应分解模型，以适应历史数据。 基于该模型，执行分割程序，其允许创建具有类似收入和损失特征的客户群体。 开发了模型的估计程序，并开发了一种预测和模拟收入和损失波动性的模拟策略。 在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。
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公开(公告)号：US20090063361A1
公开(公告)日：2009-03-05
申请号：US11848227
申请日：2007-08-30
申请人： Timothy J. Breault , Ulrich A. Bruns , John Delmonico , Shelly X. Ennis , Ruilong He , Glenn B. Jones , WeiCheng Liu , Elaine C. Marino , Arun R. Pinto , Meghan A. Steach , Agus Sudjianto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Shuchun Wang , Hungjen Wang , Aijun Zhang
发明人： Timothy J. Breault , Ulrich A. Bruns , John Delmonico , Shelly X. Ennis , Ruilong He , Glenn B. Jones , WeiCheng Liu , Elaine C. Marino , Arun R. Pinto , Meghan A. Steach , Agus Sudjianto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Shuchun Wang , Hungjen Wang , Aijun Zhang
IPC分类号： G06Q40/00
CPC分类号： G06Q30/02 , G06Q40/00 , G06Q40/025 , G06Q40/06
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译： 描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。 该方法包括客户细分，以便在收入和损失特征方面创建同质资产池，前瞻性模拟以预测收益和损失的预期值和波动率，以及投资组合的风险和报酬优化。 用于建模收入和损失的一种方法是广义加和效应分解模型，以适应历史数据。 基于该模型，执行分割程序，其允许创建具有类似收入和损失特征的客户群体。 开发了模型的估计程序，并开发了一种预测和模拟收入和损失波动性的模拟策略。 在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。
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公开(公告)号：US09570535B2
公开(公告)日：2017-02-14
申请号：US14344621
申请日：2012-09-06
申请人： Ziwei Ouyang , Michael A. E. Andersen , Zhe Zhang
发明人： Ziwei Ouyang , Michael A. E. Andersen , Zhe Zhang
CPC分类号： H01L28/10 , H01F27/28 , H01F27/38 , H01F30/06 , H01F38/00 , H02M3/285 , H02M3/335 , H02M3/33546 , H02M2001/0064
摘要： The present invention relates to an integrated magnetics component comprising a magnetically permeable core comprising a base member extending in a horizontal plane and first, second, third and fourth legs protruding substantially perpendicularly from the base member. First, second, third and fourth output inductor windings are wound around the first, second, third and fourth legs, respectively. A first input conductor of the integrated magnetics component has a first conductor axis and extends in-between the first, second, third and fourth legs to induce a first magnetic flux through a first flux path of the magnetically permeable core. A second input conductor of the integrated magnetics component has a second coil axis extending substantially perpendicularly to the first conductor axis to induce a second magnetic flux through a second flux path of the magnetically permeable core extending substantially orthogonally to the first flux path. Another aspect of the invention relates to a multiple-input isolated power converter comprising the integrated magnetics component.
摘要翻译： 本发明涉及一种集成的磁性部件，其包括导磁芯，其包括在水平平面中延伸的基部构件和从基部构件基本上垂直地突出的第一，第二，第三和第四腿。 第一，第二，第三和第四输出电感器绕组分别围绕第一，第二，第三和第四支腿缠绕。 集成磁性部件的第一输入导体具有第一导体轴线并且在第一，第二，第三和第四支腿之间延伸，以引导通过导磁芯的第一磁通路径的第一磁通量。 集成磁性部件的第二输入导体具有基本上垂直于第一导体轴线延伸的第二线圈轴，以引导通过基本上与第一磁通路径正交延伸的导磁芯的第二磁通路径的第二磁通。 本发明的另一方面涉及一种包括集成磁性部件的多输入隔离功率转换器。
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公开(公告)号：US20140050407A1
公开(公告)日：2014-02-20
申请号：US13588050
申请日：2012-08-17
申请人： Han Chen , Alexei A. Karve , Minkyong Kim , Andrzej P. Kochut , Hui Lei , Jayaram Kallapalayam Radhakrishnan , Zhiming Shen , Zhe Zhang
发明人： Han Chen , Alexei A. Karve , Minkyong Kim , Andrzej P. Kochut , Hui Lei , Jayaram Kallapalayam Radhakrishnan , Zhiming Shen , Zhe Zhang
IPC分类号： G06K9/46
CPC分类号： G06F9/45558 , G06F2009/45562
摘要： Techniques for de-duplicating virtual machine image accesses. A method includes identifying one or more identical blocks in two or more images in a virtual machine image repository, generating a block map for mapping different blocks with identical content into a same block, deploying a virtual machine image by reconstituting an image from the block map and fetching any unique blocks remotely on-demand, and de-duplicating virtual machine image accesses by storing the deployed virtual machine image in a local disk cache.
摘要翻译： 解除虚拟机映像访问的技术。 一种方法包括在虚拟机图像存储库中识别两个或更多个图像中的一个或多个相同块，生成用于将具有相同内容的不同块映射到相同块中的块映射，通过从块映射重构图像来部署虚拟机映像 并根据需要远程获取任何唯一的块，并通过将部署的虚拟机映像存储在本地磁盘缓存中来解除复制虚拟机映像访问。
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公开(公告)号：US20130318301A1
公开(公告)日：2013-11-28
申请号：US13479664
申请日：2012-05-24
CPC分类号： G06F12/0897 , G06F9/45533 , G06F12/0866 , G06F2212/1008 , G06F2212/151
摘要： Techniques, systems and an article of manufacture for caching in a virtualized computing environment. A method includes enforcing a host page cache on a host physical machine to store only base image data, and enforcing each of at least one guest page cache on a corresponding guest virtual machine to store only data generated by the guest virtual machine after the guest virtual machine is launched, wherein each guest virtual machine is implemented on the host physical machine.
摘要翻译： 技术，系统和虚拟化计算环境中的缓存制造。 一种方法包括在主机物理机上执行主页缓存以只存储基本图像数据，以及在相应的来宾虚拟机上执行至少一个来宾页面高速缓存中的每一个，以仅存储来宾虚拟机之后生成的数据 机器被启动，其中每个客体虚拟机在主机物理机上实现。
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10.发明申请公开(公告)号：US20130232486A1
公开(公告)日：2013-09-05
申请号：US13613510
申请日：2012-09-13
IPC分类号： G06F9/455
CPC分类号： G06F9/455 , G06F9/45558 , G06F2009/45566
摘要： A method for providing a cloud environment for provisioning a guest virtual machine instance. The method includes selecting at least one machine from a collection of machines as a management node, wherein the at least one machine includes a hypervisor enabled with nested virtualization capability, deploying a plurality of cloud managers on each management node, selecting at least one machine from the collection of machines as a host node, deploying a plurality of level two hypervisors on each host node, forming a plurality of virtual clouds, wherein each virtual cloud contains at least one of the plurality of cloud managers and one of the plurality of level two hypervisors, and provisioning, via the at least one cloud manager, at least one guest virtual machine instance on top of the at least one level two hypervisors.
摘要翻译： 一种用于提供用于配置来宾虚拟机实例的云环境的方法。 该方法包括从作为管理节点的机器集合中选择至少一个机器，其中所述至少一个机器包括启用嵌套虚拟化能力的管理程序，在每个管理节点上部署多个云管理器，从至少一个机器 作为主机节点的机器的集合，在每个主机节点上部署多个二级管理程序，形成多个虚拟云，其中每个虚拟云包含多个云管理器中的至少一个和多个二级中的一个 管理程序和经由所述至少一个云管理器供应至少一个级别的两个虚拟机管理程序之上的至少一个来宾虚拟机实例。
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