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1. 发明申请

WO2016149905A1 FIELD PROGRAMMABLE GATE ARRAY MEMORY ALLOCATION 审中-公开
标题翻译：现场可编程门阵列存储器分配
公开(公告)号：WO2016149905A1
公开(公告)日：2016-09-29
申请号：PCT/CN2015/074945
申请日：2015-03-24
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , LIN, Qunyang , XIE, Junqing , XU, Xunteng , YU, Xiaofeng , WANG, Shuai
发明人： LIN, Qunyang , XIE, Junqing , XU, Xunteng , YU, Xiaofeng , WANG, Shuai
IPC分类号： H04L12/701
CPC分类号： H04L12/6418 , H04L12/4625
摘要： A system includes a field programmable gate array (FPGA) including a first memory divided into a number of blocks, a processor, and a second memory. The second memory stores machine readable instructions to cause the processor to allocate the on-chip memory of the FPGA based on a number of nodes at each height of an Internet Protocol (IP) address routing table binary trie and to flash shape graphs for nodes of the binary trie onto the on-chip memory of the FPGA according to the allocated on-chip memory for pipeline processing of lookup of the routing table.
摘要翻译：一种系统包括现场可编程门阵列（FPGA），其包括划分成多个块的第一存储器，处理器和第二存储器。第二存储器存储机器可读指令，使得处理器基于互联网协议（IP）地址路由表二进制trie的每个高度处的多个节点分配FPGA的片上存储器，并且对于根据分配的片上存储器，二进制三进制到FPGA的片上存储器，用于流水线处理查找路由表。

2. 发明申请

WO2016023232A1 MEMORY EFFICIENT PACKET CLASSIFICATION METHOD 审中-公开
标题翻译：记忆有效的分组方法
公开(公告)号：WO2016023232A1
公开(公告)日：2016-02-18
申请号：PCT/CN2014/084538
申请日：2014-08-15
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , LIN, Qunyang , XIE, Junqing , YU, Xiaofeng
发明人： LIN, Qunyang , XIE, Junqing , YU, Xiaofeng
IPC分类号： H04L29/06
CPC分类号： H04L47/2483 , H04L45/745 , H04L63/0236 , H04L63/0263 , H04L69/22
摘要： A SCI (Split, Compression and Intersection) packet classifier, wherein the SCI packet classifier comprises a construction module to generate rule ID array, N pairs of ISG and three binary search trees, and a lookup engine to look up the binary search trees and ISGs to find the highest priority rule matching the incoming packet and to output a corresponding rule ID.
摘要翻译： SCI（分割，压缩和交集）分组分类器，其中SCI分组分类器包括生成规则ID阵列，N对ISG和三个二叉搜索树的构建模块，以及查找引擎以查找二进制搜索树和ISG 找到匹配输入数据包的最高优先级规则，并输出相应的规则ID。

3. 发明申请

WO2016141525A1 PREDICTING ACCESS POINT AVAILABILITY 审中-公开
标题翻译：预测接入点可用性
公开(公告)号：WO2016141525A1
公开(公告)日：2016-09-15
申请号：PCT/CN2015/073871
申请日：2015-03-09
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Shuai , YU, Xiaofeng , XIE, Junqing
发明人： WANG, Shuai , YU, Xiaofeng , XIE, Junqing
IPC分类号： H04W48/20
CPC分类号： H04W48/20 , H04B17/318 , H04B17/373 , H04W48/16 , H04W48/18
摘要： Examples relate to predicting access point availability. In one example, a computing device may: obtain a set of training fingerprints, each training fingerprint specifying, for a client device, an access point to which the client device successfully connected and cellular signal strength for each cellular tower in a set of cellular towers; and for each access point: generate an access point profile for the access point, the access point profile indicating, for each cellular tower in the set of cellular towers specified by a first subset of the set of training fingerprints, a probability that a randomly selected training fingerprint included in the first subset specified a particular cellular signal strength for the cellular tower, wherein each training fingerprint included in the first subset specifies the access point as the access point to which the client device specified by the training fingerprint included in the first subset successfully connected.
摘要翻译：示例涉及预测接入点可用性。在一个示例中，计算设备可以：获得一组训练指纹，每个训练指纹为客户端设备指定客户端设备成功连接的接入点，以及蜂窝小区中的每个蜂窝塔的蜂窝信号强度 ; 并且对于每个接入点：为接入点生成接入点简档，对于由该组训练指纹集合的第一子集指定的蜂窝小组集合中的每个蜂窝塔，接入点简档指示随机选择的概率包括在第一子集中的训练指纹指定用于蜂窝塔的特定蜂窝信号强度，其中包括在第一子集中的每个训练指纹将接入点指定为由包括在第一子集中的训练指纹指定的客户端设备的接入点成功连接。

4. 发明申请

WO2016192084A1 ACCESS POINT AVAILABILITY PREDICTION 审中-公开
标题翻译：访问点可用性预测
公开(公告)号：WO2016192084A1
公开(公告)日：2016-12-08
申请号：PCT/CN2015/080790
申请日：2015-06-04
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Shuai , YU, Xiaofeng , XIE, Junqing
发明人： WANG, Shuai , YU, Xiaofeng , XIE, Junqing
IPC分类号： H04W48/20
CPC分类号： H04W48/16 , H04W24/02 , H04W24/10 , H04W36/30 , H04W48/20 , H04W72/06 , H04W72/085
摘要： In an example, a set of training fingerprints may be accessed, in which each of the training fingerprints specifies an access point of a plurality of access points to which a mobile device made a successful connection, a relative signal strength of the connection to the access point, and a cellular signal strength of a cellular tower near the mobile device when the successful connection to the access point was made. Level counts of the relative signal strengths of the connections to the access points corresponding to the cellular signal strengths of the cellular tower may be cumulated from the set of training fingerprints. The cumulated level counts of the relative signal strengths of the access points may be ranked.
摘要翻译：在一个示例中，可以访问一组训练指纹，其中每个训练指纹指定移动设备进行成功连接的多个接入点的接入点，到接入的连接的相对信号强度点，以及当与接入点成功连接时，移动设备附近的蜂窝塔的蜂窝信号强度。可以从该组训练指纹累积与对应于蜂窝塔的蜂窝信号强度的接入点的连接的相对信号强度的级数。可以对接入点的相对信号强度的累积电平计数进行排名。

5. 发明申请

WO2016141527A1 PREDICTING AVAILABLE ACCESS POINTS 审中-公开
标题翻译：预测可用的访问点
公开(公告)号：WO2016141527A1
公开(公告)日：2016-09-15
申请号：PCT/CN2015/073874
申请日：2015-03-09
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Shuai , YU, Xiaofeng , XIE, Junqing
发明人： WANG, Shuai , YU, Xiaofeng , XIE, Junqing
IPC分类号： H04W64/00
CPC分类号： H04W64/003 , G01S5/0252
摘要： Examples relate to predicting available access points. In one example, a computing device may: obtain a set of training fingerprints, each training fingerprint specifying, for a client device, i) a set of access points, and ii) cellular signal strength measurements for each cellular tower in a set of cellular towers; generate a plurality of classes based on the set of training fingerprints, each class specifying at least one access point, the access points of each class corresponding to the set of access points specified by at least one training fingerprint, and each combination being different from combinations specified by each other class in the plurality of classes; and train a predictive model to receive, as input, an input fingerprint specifying a cellular signal strength measurement for each cellular tower in a set of input cellular towers and produce, as output, at least one of the plurality of classes.
摘要翻译：示例涉及预测可用接入点。在一个示例中，计算设备可以：获得一组训练指纹，每个训练指纹针对客户端设备指定i）一组接入点，以及ii）一组蜂窝中每个蜂窝塔的蜂窝信号强度测量塔; 基于所述训练指纹集合生成多个类别，每个类别指定至少一个接入点，每个类别的接入点对应于由至少一个训练指纹指定的所述一组接入点，并且每个组合与组合不同由多个类中的每个其他类指定; 并且训练预测模型以接收指定在一组输入蜂窝塔中的每个蜂窝塔的蜂窝信号强度测量的输入指纹，并输出所述多个类别中的至少一个。

6. 发明申请

WO2016015267A1 RANK AGGREGATION BASED ON MARKOV MODEL 审中-公开
标题翻译：基于MARKOV模型的RANK聚合
公开(公告)号：WO2016015267A1
公开(公告)日：2016-02-04
申请号：PCT/CN2014/083379
申请日：2014-07-31
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , YU, Xiaofeng , XIE, Junqing
发明人： YU, Xiaofeng , XIE, Junqing
IPC分类号： G06F17/30
CPC分类号： G06F17/30687 , G06F17/18 , G06F17/30864
摘要： Rank aggregation based on a Markov model is disclosed. One example is a system including a query processor, at least two information retrievers, a Markov model, and an evaluator. The query processor receives a query via a processing system. Each of the at least two information retrievers retrieves a plurality of document categories responsive to the query, each of the plurality of document categories being at least partially ranked. The Markov model generates a Markov process based on the at least partial rankings of the respective plurality of document categories. The evaluator determines, via the processing system, an aggregate ranking for the plurality of document categories, the aggregate ranking based on a probability distribution of the Markov process.
摘要翻译：公布了基于马尔科夫模型的排名聚合。一个示例是包括查询处理器，至少两个信息检索器，马尔可夫模型和评估器的系统。查询处理器通过处理系统接收查询。所述至少两个信息检索器中的每一个检索响应于所述查询的多个文档类别，所述多个文档类别中的每一个至少部分地被分级。马尔可夫模型基于相应的多个文档类别的至少部分排名来生成马尔可夫过程。评估者通过处理系统确定多个文档类别的综合排名，基于马尔可夫过程的概率分布的总体排名。

7. 发明申请

WO2016192081A1 ENABLE ACCESS POINT AVAILABILITY PREDICTION 审中-公开
标题翻译：启用访问点可用性预测
公开(公告)号：WO2016192081A1
公开(公告)日：2016-12-08
申请号：PCT/CN2015/080778
申请日：2015-06-04
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Shuai , XIE, Jun Qing , YU, Xiaofeng
发明人： WANG, Shuai , XIE, Jun Qing , YU, Xiaofeng
IPC分类号： H04W64/00
CPC分类号： H04W16/18 , G01S5/0252 , H04L41/145 , H04L41/147 , H04W48/16 , H04W48/20 , H04W64/00 , H04W88/06 , H04W88/08
摘要： In an example, a set of training fingerprints may be access, in which each of the training fingerprints may specify an access point of a plurality of access points to which a mobile device made a successful connection and a cellular signal strength of a cellular tower near the client device when the successful connection was made. An interim model may be generated from the accessed set of training fingerprints, in which the interim model may contain a subset of the information in the set of training fingerprints to enable a destination device to generate a prediction model to predict an availability of an access point. The generated interim model may be transferred to the destination device.
摘要翻译：在一个示例中，一组训练指纹可以是访问，其中每个训练指纹可以指定移动设备进行成功连接的多个接入点的接入点和蜂窝塔附近的蜂窝信号强度当客户端设备连接成功时。可以从所访问的训练指纹集生成临时模型，其中临时模型可以包含训练指纹集合中的信息的子集，以使得目的地设备能够生成预测模型以预测接入点的可用性。生成的临时模型可以传送到目标设备。

8. 发明申请

WO2016049802A1 ADAPTIVE SPLIT AND COMPRESSION 审中-公开
标题翻译：自适应分割和压缩
公开(公告)号：WO2016049802A1
公开(公告)日：2016-04-07
申请号：PCT/CN2014/087773
申请日：2014-09-29
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , LIN, Qun Yang , XIE, Jun Qing , YU, Xiaofeng , LEE, David
发明人： LIN, Qun Yang , XIE, Jun Qing , YU, Xiaofeng , LEE, David
IPC分类号： H04L12/70
CPC分类号： H04L12/6418
摘要： Techniques involving ASC (Adaptive Split and Compression) data are described. For example, in one aspect, an ASC construction module may generate search data that include a segment array that links with first layer search data. The first layer search data may include a first layer node that links to second layer search data. The second layer search data may include a node that maps to a packet classification rule.
摘要翻译：描述了涉及ASC（自适应分割和压缩）数据的技术。例如，在一个方面，ASC构造模块可以生成包括与第一层搜索数据链接的段数组的搜索数据。第一层搜索数据可以包括链接到第二层搜索数据的第一层节点。第二层搜索数据可以包括映射到分组分类规则的节点。

9. 发明申请

WO2015188349A1 RECOMMENDING OF AN ITEM TO A USER 审中-公开
标题翻译：向用户推荐项目
公开(公告)号：WO2015188349A1
公开(公告)日：2015-12-17
申请号：PCT/CN2014/079747
申请日：2014-06-12
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , YU, Xiaofeng
发明人： YU, Xiaofeng
IPC分类号： H04N21/258 , H04N21/458
CPC分类号： G06Q30/0631 , G06Q50/01 , H04N21/251 , H04N21/252 , H04N21/4756 , H04N21/6582
摘要： The present disclose provides a method of recommending at least one item to a user, the method comprising: receiving the user's feedback on an item; predicting a user vector and an item vector related to the user in an online mode based on the received feedback; and recommending to the user an acceptable item based on the user vector and item vector.
摘要翻译：本公开提供了向用户推荐至少一个项目的方法，所述方法包括：接收用户对项目的反馈; 基于接收到的反馈，在在线模式下预测与用户相关的用户向量和项向量; 并基于用户向量和项目向量向用户推荐可接受的项目。

10. 发明申请

WO2015077942A1 RELATIONSHIP EXTRACTION 审中-公开
标题翻译：关系提取
公开(公告)号：WO2015077942A1
公开(公告)日：2015-06-04
申请号：PCT/CN2013/087963
申请日：2013-11-27
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , YU, Xiaofeng
发明人： YU, Xiaofeng
IPC分类号： G06F17/30
CPC分类号： G06N99/005 , G06F17/278 , G06F17/2785 , G06N5/046 , G06N7/005
摘要： Relationship extraction can include applying unsupervised relationship learning to a logic knowledge base and a plurality of entity groups recognized from a document to provide a probabilistic model. Relationship extraction can include performing joint inference on the probabilistic model to make simultaneous statistical judgments about a respective relationship between at least two entities in one of the plurality of entity groups. Relationship extraction can include extracting a relationship between at least two entities in one of the plurality of entity groups based on the joint inference.
摘要翻译：关系提取可以包括将无监督关系学习应用于逻辑知识库和从文档识别的多个实体组以提供概率模型。关系提取可以包括对概率模型执行联合推理以对多个实体组中的一个实体组中的至少两个实体之间的相应关系进行统一的统计判断。关系提取可以包括基于联合推断提取多个实体组之一中的至少两个实体之间的关系。

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