公开(公告)号：US08909567B2

公开(公告)日：2014-12-09

申请号：US13400323

申请日：2012-02-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06N5/00 ,  G06F1/00

CPC分类号： G06Q10/00 ,  G06N99/005 ,  G06Q50/00

摘要： A system and method for the dynamic allocation of resources based on fairness, throughput, and user behavior measurement. A resource allocation decision can be made based on an index value computed by a selection index function. A fairness coefficient and a throughput coefficient, which represent the significance of fairness and throughput can be computed utilizing a reinforcement learning algorithm. The degree of fairness and throughput coefficient can be varied while allocating resources. A user behavior coefficient with respect to a user can be computed to determine the degree of cooperativeness of the user with other users and the value of user behavior coefficient can be updated each time it interacts with the system.

摘要翻译： 基于公平性，吞吐量和用户行为测量动态分配资源的系统和方法。 可以基于由选择索引函数计算的索引值来进行资源分配决定。 可以使用强化学习算法来计算公平系数和吞吐量系数，它们表示公平性和吞吐量的重要性。 在分配资源的同时，可以改变公平性和吞吐量系数。 可以计算相对于用户的用户行为系数，以确定用户与其他用户的协作程度，并且每当与系统交互时，可以更新用户行为系数的值。

公开(公告)号：US20130160018A1

公开(公告)日：2013-06-20

申请号：US13331246

申请日：2011-12-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06F9/46

CPC分类号： G06F9/50 ,  G06Q10/00 ,  G06Q10/10

摘要： A system and method for the dynamic allocation of resources based on multi-phase negotiation mechanism. A resource allocation decision can be made based on an index value computed by a selection index function. A negotiation process can be performed based on a schedule, a number of resources, and a price of resources. A user requesting a resource for a low priority task can negotiate based on the schedule, the user demanding the resource for a medium priority task can negotiate based on the schedule and/or the number of resources, and filially the user requesting the resource for a high priority job can successfully negotiate based on per unit resource price. The multi-phase negotiation mechanism motivates the users to be cooperative among them and improves a cooperative behavior coefficient and an overall user satisfaction rate.

摘要翻译： 一种基于多阶段协商机制动态资源分配的系统与方法。 可以基于由选择索引函数计算的索引值来进行资源分配决定。 可以基于日程表，资源数量和资源价格进行协商过程。 请求用于低优先级任务的资源的用户可以基于调度进行协商，要求中等优先级任务的资源的用户可以基于调度和/或资源数量协商，并且恳求用户请求资源用于 高优先级工作可以根据单位资源价格成功协商。 多阶段协商机制激励用户之间合作，提高合作行为系数和整体用户满意度。

公开(公告)号：US08832694B2

公开(公告)日：2014-09-09

申请号：US13331246

申请日：2011-12-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06F9/46 ,  G06F9/455

CPC分类号： G06F9/50 ,  G06Q10/00 ,  G06Q10/10

摘要： A system and method for the dynamic allocation of resources based on multi-phase negotiation mechanism. A resource allocation decision can be made based on an index value computed by a selection index function. A negotiation process can be performed based on a schedule, a number of resources, and a price of resources. A user requesting a resource for a low priority task can negotiate based on the schedule, the user demanding the resource for a medium priority task can negotiate based on the schedule and/or the number of resources, and filially the user requesting the resource for a high priority job can successfully negotiate based on per unit resource price. The multi-phase negotiation mechanism motivates the users to be cooperative among them and improves a cooperative behavior coefficient and an overall user satisfaction rate.

摘要翻译： 一种基于多阶段协商机制动态资源分配的系统与方法。 可以基于由选择索引函数计算的索引值来进行资源分配决定。 可以基于日程表，资源数量和资源价格进行协商过程。 请求用于低优先级任务的资源的用户可以基于调度进行协商，要求中等优先级任务的资源的用户可以基于调度和/或资源数量协商，并且恳求用户请求资源用于 高优先级工作可以根据单位资源价格成功协商。 多阶段协商机制激励用户之间合作，提高合作行为系数和整体用户满意度。

公开(公告)号：US20130218814A1

公开(公告)日：2013-08-22

申请号：US13400323

申请日：2012-02-20

申请人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

发明人： Dhanwant Singh Kang ,  Hua Liu ,  Tong Sun

IPC分类号： G06F15/18

CPC分类号： G06Q10/00 ,  G06N99/005 ,  G06Q50/00

摘要： A system and method for the dynamic allocation of resources based on fairness, throughput, and user behavior measurement. A resource allocation decision can be made based on an index value computed by a selection index function, A fairness coefficient and a throughput coefficient, which represents the significance of fairness and throughput can be computed utilizing a reinforcement learning algorithm and the degree of fairness and throughput coefficient can be varied while allocating resources. A user behavior coefficient with respect to a user can be computed to determine the degree of cooperativeness of the user with other users and the value of user behavior coefficient can be updated each time it interacts with the system.

摘要翻译： 基于公平性，吞吐量和用户行为测量动态分配资源的系统和方法。 可以基于由选择索引函数计算出的指标值进行资源分配决定，公平性和吞吐量系数表示公平性和吞吐量的重要性，可以使用强化学习算法和公平性和吞吐量 系数可以在分配资源时变化。 可以计算相对于用户的用户行为系数，以确定用户与其他用户的协作程度，并且每当与系统交互时，可以更新用户行为系数的值。

公开(公告)号：US08654386B2

公开(公告)日：2014-02-18

申请号：US13421405

申请日：2012-03-15

申请人： Hua Liu ,  Tong Sun

发明人： Hua Liu ,  Tong Sun

IPC分类号： G06F3/12 ,  G06K15/00

CPC分类号： G06Q30/02

摘要： Methods and systems for selecting a service provider are disclosed. Information pertaining to print service providers, including associated user and general reputation scores, are received. Each user reputation score identifies a user's perception of a print service provider's reputation. Each general reputation score identifies a general strength of the print service provider's reputation. A first set of providers is selected based on a threshold user reputation score. A second set of providers is selected (pseudo-)randomly. A trust score is determined for each provider in the first and second sets based on the associated user and general reputation scores. One or more negotiation providers are selected from the first and second sets based on the associated trust scores. One or more of the user and general reputation scores are updated for negotiation providers based on a quality of service provided or an offer provided to or by the negotiation provider.

摘要翻译： 公开了用于选择服务提供商的方法和系统。 收到与打印服务提供商有关的信息，包括相关用户和一般信誉评分。 每个用户信誉评分识别用户对打印服务提供商的声誉的看法。 每个通用信誉评分都标识了打印服务提供商声誉的一般优势。 基于阈值用户信誉评分来选择第一组提供者。 随机选择（伪）第二组提供者。 基于相关联的用户和一般信誉评分，确定第一和第二组中的每个提供者的信任分数。 基于相关联的信任分数，从第一和第二集合中选择一个或多个协商提供者。 基于提供的服务质量或向协商提供商提供的报价，为协商提供者更新一个或多个用户和一般信誉分数。

公开(公告)号：US20130242340A1

公开(公告)日：2013-09-19

申请号：US13421405

申请日：2012-03-15

申请人： Hua Liu ,  Tong Sun

发明人： Hua Liu ,  Tong Sun

IPC分类号： G06K15/02

CPC分类号： G06Q30/02

摘要： Methods and systems for selecting a service provider are disclosed. Information pertaining to print service providers, including associated user and general reputation scores, are received. Each user reputation score identifies a user's perception of a print service provider's reputation. Each general reputation score identifies a general strength of the print service provider's reputation. A first set of providers is selected based on a threshold user reputation score. A second set of providers is selected (pseudo-)randomly. A trust score is determined for each provider in the first and second sets based on the associated user and general reputation scores. One or more negotiation providers are selected from the first and second sets based on the associated trust scores. One or more of the user and general reputation scores are updated for negotiation providers based on a quality of service provided or an offer provided to or by the negotiation provider.

摘要翻译： 公开了用于选择服务提供商的方法和系统。 收到与打印服务提供商有关的信息，包括相关用户和一般信誉评分。 每个用户信誉评分识别用户对打印服务提供商的声誉的看法。 每个通用信誉评分都标识了打印服务提供商声誉的一般优势。 基于阈值用户信誉评分来选择第一组提供者。 随机选择（伪）第二组提供者。 基于相关联的用户和一般信誉评分，确定第一和第二组中的每个提供者的信任分数。 基于相关联的信任分数，从第一和第二集合中选择一个或多个协商提供者。 基于提供的服务质量或向协商提供商提供的报价，为协商提供者更新一个或多个用户和一般信誉分数。

公开(公告)号：US20130097056A1

公开(公告)日：2013-04-18

申请号：US13272811

申请日：2011-10-13

申请人： Tong Sun ,  Lei Li ,  Hua Liu

发明人： Tong Sun ,  Lei Li ,  Hua Liu

IPC分类号： G06F15/16 ,  G06Q30/06

CPC分类号： G06Q10/00 ,  G06Q30/02

摘要： Methods and systems for recommending a service based on an electronic social media trust model. A user trust network and a service trust network can be constructed and the two separate trust networks can be combined to form a combined trust network. The combined trust network includes an explicit trust and an implicit trust in order to improve the recommendation coverage and consider a latent service rating without suffering noisy data. A trust-oriented random walk model can be conducted on a user node with respect to the combined trust network based on a user search intent and navigation behavior in order to select and recommend a service candidate. A service rating can then be predicted by considering the user ratings with respect to a target service, a propagated trust and an inferred service rating.

摘要翻译： 基于电子社交媒体信托模型推荐服务的方法和系统。 可以构建用户信任网络和服务信任网络，并且可以组合两个单独的信任网络以形成组合的信任网络。 组合的信任网络包括明确的信任和隐性信任，以便改善推荐覆盖率并考虑潜在服务评级，而不会有嘈杂的数据。 可以基于用户搜索意图和导航行为相对于组合的信任网络在用户节点上进行信任导向的随机游走模型，以便选择和推荐服务候选者。 然后可以通过考虑用户对目标服务的评级，传播的信任和推断的服务评级来预测服务评级。

公开(公告)号：US09792087B2

公开(公告)日：2017-10-17

申请号：US13452701

申请日：2012-04-20

申请人： Yuanbin Guo ,  Tong Sun ,  Weizhong Chen

发明人： Yuanbin Guo ,  Tong Sun ,  Weizhong Chen

IPC分类号： G06F7/483

CPC分类号： G06F7/483

摘要： An embodiment of a system and method for performing a numerical operation on input data in a hybrid floating-point format includes representing input data as a sign bit, exponent bits, and mantissa bits. The exponent bits are represented as an unsigned integer including an exponent bias, and a signed numerical value of zero is represented as a first reserved combination of the mantissa bits and the exponent bits. Each of all other combinations of the mantissa bits and the exponent bits represents a real finite non-zero number. The mantissa bits are operated on with a “one” bit before a radix point for the all other combinations of the mantissa bits and the exponent bits.

公开(公告)号：US09274750B2

公开(公告)日：2016-03-01

申请号：US13452690

申请日：2012-04-20

申请人： Tong Sun ,  Weizhong Chen ,  Zhikun Cheng ,  Yuanbin Guo

发明人： Tong Sun ,  Weizhong Chen ,  Zhikun Cheng ,  Yuanbin Guo

IPC分类号： G06F7/48 ,  G06F7/483 ,  G06F7/544

CPC分类号： G06F7/4806 ,  G06F7/483 ,  G06F7/5443

摘要： An embodiment of a method and a related apparatus for digital computation of a floating point complex multiply-add is provided. The method includes receiving an input addend, a first product, and a second product. The input addend, the first product and the second product each respectively has a mantissa and an exponent. The method includes shifting the mantissas of the two with smaller exponents of the input addend, the first product, and the second product to align together with the mantissa of the one with largest exponent of the input addend, the first product and the second product, and adding the aligned input addend, the aligned first product and the aligned second product.

摘要翻译： 提供了一种用于浮点复数乘法的数字计算的方法和相关装置的实施例。 该方法包括接收输入加数，第一产品和第二产品。 输入加法，第一产品和第二产品分别具有尾数和指数。 该方法包括以输入加数，第一乘积和第二乘积的较小指数移动两者的尾数，使其与输入加法器，第一乘积和第二乘积的最大指数的尾数对齐， 并添加对齐的输入加数，对齐的第一个产品和对齐的第二个产品。

公开(公告)号：US08954431B2

公开(公告)日：2015-02-10

申请号：US13156568

申请日：2011-06-09

申请人： Akiko Okazaki ,  Joshua Mateo ,  Edward Werner ,  Robert Hendricks ,  Alexandra Woodbury ,  Tong Sun ,  Gregory Cameron

发明人： Akiko Okazaki ,  Joshua Mateo ,  Edward Werner ,  Robert Hendricks ,  Alexandra Woodbury ,  Tong Sun ,  Gregory Cameron

IPC分类号： G06F7/00 ,  G06F3/0488 ,  G06F3/0481 ,  G10L15/26

CPC分类号： G06F3/0488 ,  G06F3/04815 ,  G10L15/26

摘要： Methods and a system are disclosed for a collaborate brainstorming interface that defines a collaboration session with a three dimensional holographic mind map. An intelligent agent guides a collaboration session that is structured by the interface. The intelligent agent detects key words, work flow steps and user interactions in the session to initiate searches that are filtered using artificial intelligence. The results are presented to developers interacting through the interface.

摘要翻译： 公开了一种协作头脑风暴界面的方法和系统，该界面定义了与三维全息思维导图的协作会话。 智能代理指导由界面构成的协作会话。 智能代理检测会话中的关键词，工作流步骤和用户交互，以启动使用人工智能过滤的搜索。 结果提供给开发人员通过界面进行交互。