公开(公告)号：US06495258B1

公开(公告)日：2002-12-17

申请号：US09665751

申请日：2000-09-20

申请人： Zheng Chen ,  Yonhua Tzeng

发明人： Zheng Chen ,  Yonhua Tzeng

IPC分类号： B32B900

CPC分类号： B32B5/26 ,  B32B15/00 ,  B32B15/043 ,  B32B2262/103 ,  B32B2262/105 ,  B32B2310/14 ,  B82Y30/00 ,  D01F9/127 ,  D04H1/4209 ,  D04H1/4234 ,  D04H1/4242 ,  D04H1/4382 ,  Y10S977/742 ,  Y10S977/842 ,  Y10T428/294 ,  Y10T428/30 ,  Y10T428/31678

摘要： A composite is described having a three dimensional distribution of carbon nanotubes. The critical aspect of such composites is a nonwoven network of randomly oriented fibers connected at their junctions to afford macropores in the spaces between the fibers. A variety of fibers may be employed, including metallic fibers, and especially nickel fibers. The composite has quite desirable properties for cold field electron emission applications, such as a relatively low turn-on electric field, high electric field enhancement factors, and high current densities. The composites of this invention also show favorable properties for other an electrode applications. Several methods, which also have general application in carbon nanotube production, of preparing these composites are described and employ a liquid feedstock of oxyhydrocarbons as carbon nanotube precursors.

摘要翻译： 描述了具有碳纳米管的三维分布的复合材料。 这种复合材料的关键方面是随机取向的纤维的非织造网络，其在其连接处连接以在纤维之间的空间中提供大孔。 可以使用各种纤维，包括金属纤维，特别是镍纤维。 该复合材料对于冷场电子发射应用具有非常理想的性能，例如相对较低的导通电场，高电场增强因子和高电流密度。 本发明的复合材料还显示了其它电极应用的有利性质。 描述了几种在碳纳米管生产中一般应用于制备这些复合材料的方法，并采用了氧代烃作为碳纳米管前体的液体原料。

公开(公告)号：US5780370A

公开(公告)日：1998-07-14

申请号：US699509

申请日：1996-08-19

申请人： Zheng Chen ,  Millard Franklin Rose ,  Peter L. Adair

发明人： Zheng Chen ,  Millard Franklin Rose ,  Peter L. Adair

IPC分类号： C04B35/80 ,  B32B18/00

CPC分类号： C04B35/80 ,  Y10T428/24661 ,  Y10T428/249964 ,  Y10T428/249982 ,  Y10T428/31518 ,  Y10T442/696 ,  Y10T442/697

摘要： Robust, large area selective infrared line emitters can be made using composites of rare earth metal oxide fibers dispersed and interlocked in a network of connected structure-forming fibers, especially alumina fibers, where the fibers are adhesively connected by a ceramic bonding agent. Articles where the composite is formed of rare earth metal oxide fibers in a network of alumina fibers and where the two types of fibers are connected by alumina a the ceramic bonding agent show narrow bandwidth emissions with good thermal conversion efficiencies and with improved tensile strength and lower brittleness than in the absence of the ceramic bonding agent.

摘要翻译： 强大的大面积选择性红外线发射器可以使用分散和互锁的连接结构形成纤维，特别是氧化铝纤维的网络中的稀土金属氧化物纤维的复合材料制成，其中纤维通过陶瓷粘合剂粘合连接。 复合材料由氧化铝纤维网络中的稀土金属氧化物纤维形成，两种类型的纤维通过氧化铝连接在一起的陶瓷粘结剂显示窄带宽排放，具有良好的热转换效率和更好的拉伸强度和较低的拉伸强度 比没有陶瓷粘结剂的脆性要好。

公开(公告)号：US09957743B2

公开(公告)日：2018-05-01

申请号：US14763316

申请日：2014-01-24

申请人： Zheng Chen ,  Shangda Chen

发明人： Zheng Chen ,  Shangda Chen

IPC分类号： E05F5/10 ,  E05F3/20 ,  E05F5/02 ,  E05D3/02 ,  E05F5/08 ,  E05F3/04 ,  E05F1/12

CPC分类号： E05F5/10 ,  E05D3/02 ,  E05F1/1207 ,  E05F3/04 ,  E05F3/20 ,  E05F5/02 ,  E05F5/08 ,  E05Y2201/638 ,  E05Y2900/132 ,  E05Y2900/148 ,  Y10T16/2766 ,  Y10T16/2771 ,  Y10T16/304

摘要： A slow-closing door hinge, includes a first foldout and a second foldout having a shaft sleeve respectively. A fixed rod mounted in the sleeve of the first foldout, and a rotating rod mounted in the sleeve of the second foldout are connected by a connecting rod. The connecting rod and the fixed rod are movably connected, with a hollow groove at the joint. A restoring spring in contact with the fixed rod and fixed to the connecting rod in the hollow groove. The connecting rod is connected with the rotating rod in a coaxial, rotationally actuating manner. The forward and backward rotation of the fixed rod and the rotating rod cooperates with the restoring spring to drive the connecting rod in a reciprocal motion within the shaft sleeve.

公开(公告)号：US20160140254A1

公开(公告)日：2016-05-19

申请号：US14897824

申请日：2013-06-13

申请人： Jun YAN ,  Ning LIU ,  Lei JI ,  Zheng CHEN ,  MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： Jun Yan ,  Ning Liu ,  Lei Ji ,  Zheng Chen

IPC分类号： G06F17/30 ,  G06F3/0484

CPC分类号： G06F17/30991 ,  G06F3/0484 ,  G06F17/3053 ,  G06F17/30864 ,  G06Q30/0629

摘要： Some examples include displaying a user interface that includes attributes and entities that are determined to be related to an input entity identified by a user. Further, some implementations include displaying a structured data table that identifies attribute values associated with the input entity and selected related entities.

摘要翻译： 一些示例包括显示包括被确定为与由用户标识的输入实体相关的属性和实体的用户界面。 此外，一些实现方式包括显示结构化数据表，其识别与输入实体和所选相关实体相关联的属性值。

公开(公告)号：US08868598B2

公开(公告)日：2014-10-21

申请号：US13586711

申请日：2012-08-15

申请人： Jianwen Zhang ,  Zhimin Zhang ,  Jian-Tao Sun ,  Jun Yan ,  Ning Liu ,  Lei Ji ,  Weizhu Chen ,  Zheng Chen

发明人： Jianwen Zhang ,  Zhimin Zhang ,  Jian-Tao Sun ,  Jun Yan ,  Ning Liu ,  Lei Ji ,  Weizhu Chen ,  Zheng Chen

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30032 ,  G06F17/30905

摘要： A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.

摘要翻译： 以智能用户为中心的信息聚合系统允许用户定义显示在设备显示器中的内容区域，并代表用户执行信息聚合。 智能用户为中心的信息聚合系统在用户可以继续执行他/她的原始行为过程而不间断地搜索，聚合和分组与用户内容区域中包含的内容相关的信息。 在找到与期望内容相关的信息之后，智能用户为中心的信息聚合系统可以在接收到来自用户的确认时通知用户并向用户呈现找到的信息。 以智能用户为中心的信息聚合系统可以继续寻找新的相关信息，并且在某些情况下，不需要用户干预或输入，定期更新新发现的信息。

公开(公告)号：US08784768B2

公开(公告)日：2014-07-22

申请号：US13116392

申请日：2011-05-26

申请人： Mei Cai ,  Yunfeng Lu ,  Zheng Chen

发明人： Mei Cai ,  Yunfeng Lu ,  Zheng Chen

IPC分类号： C01B31/02

CPC分类号： H01M4/587 ,  C01B32/30 ,  C01B32/324 ,  H01G11/24 ,  H01G11/32 ,  H01G11/42 ,  H01M4/133 ,  H01M4/661 ,  Y02E60/13 ,  Y10T428/2982

摘要： Hierarchically porous graphitic carbon particles are prepared by an aerosol process using a aqueous solution of a carbon precursor compound in which different sized particles or clusters of silicon oxide species are dispersed. The aerosol is heated to evaporate the solvent. The solid residue is carbonized and non-carbon species removed to obtain small porous particles of graphitic carbon. The interconnected, different size pores in the small carbon particles make them very useful as electrode materials in electrochemical devices, such as supercapacitors, in which efficient ion transport through the pores or the particles is required.

摘要翻译： 层状多孔石墨碳颗粒通过气溶胶法制备，其使用分散有不同尺寸的颗粒或氧化硅团簇的碳前体化合物的水溶液。 将气溶胶加热以蒸发溶剂。 固体残余物被碳化并除去非碳物质以获得小的石墨碳颗粒。 小碳颗粒中相互连接的不同尺寸的孔使得它们在电化学装置（例如超级电容器）中作为电极材料非常有用，其中需要有效的离子通过孔或颗粒传输。

公开(公告)号：US08768960B2

公开(公告)日：2014-07-01

申请号：US12356272

申请日：2009-01-20

申请人： Jian Hu ,  Jian-Tao Sun ,  Zheng Chen

发明人： Jian Hu ,  Jian-Tao Sun ,  Zheng Chen

IPC分类号： G06F17/30

CPC分类号： G06F17/2775 ,  G06F17/2785 ,  G06Q30/02

摘要： Disclosed are systems and methods for extracting semantic-based keywords through mining word semantics using an online encyclopedia's taxonomy. Described is the use a semantic bipartite graph that relates candidate keywords and topics.

摘要翻译： 公开了通过使用在线百科全书分类法挖掘词义语义来提取基于语义的关键词的系统和方法。 描述了使用关联候选关键字和主题的语义二分图。

公开(公告)号：US20140075393A1

公开(公告)日：2014-03-13

申请号：US13609259

申请日：2012-09-11

申请人： Tao Mei ,  Jingdong Wang ,  Shipeng Li ,  Jian-Tao Sun ,  Zheng Chen ,  Shiyang Lu

发明人： Tao Mei ,  Jingdong Wang ,  Shipeng Li ,  Jian-Tao Sun ,  Zheng Chen ,  Shiyang Lu

IPC分类号： G06F3/033

CPC分类号： G06F16/9032

摘要： An image-based text extraction and searching system extracts an image be selected by gesture input by a user and the associated image data and proximate textual data in response to the image selection. Extracted image data and textual data can be utilized to perform or enhance a computerized search. The system can determine one or more database search terms based on the textual data and generate at least a first search query proposal related to the image data and the textual data.

摘要翻译： 基于图像的文本提取和搜索系统响应于图像选择提取由用户通过手势输入选择的图像以及相关联的图像数据和邻近的文本数据。 提取的图像数据和文本数据可用于执行或增强计算机化搜索。 系统可以基于文本数据确定一个或多个数据库搜索项，并生成至少与图像数据和文本数据相关的第一搜索查询提案。

公开(公告)号：US08626677B2

公开(公告)日：2014-01-07

申请号：US12790532

申请日：2010-05-28

申请人： Weizhu Chen ,  Gang Wang ,  Zheng Chen

发明人： Weizhu Chen ,  Gang Wang ,  Zheng Chen

IPC分类号： G06F15/18

CPC分类号： G06K9/6269 ,  G06N99/005

摘要： Techniques for training a non-linear support vector machine utilizing a stochastic gradient descent algorithm are provided. The computations of the stochastic gradient descent algorithm are parallelized via a number of processors. Calculations of the stochastic gradient descent algorithm on a particular processor may be combined according to a packing strategy before communicating the results of the calculations with the other processors.

摘要翻译： 提供了利用随机梯度下降算法训练非线性支持向量机的技术。 随机梯度下降算法的计算通过多个处理器并行化。 在将计算结果与其他处理器通信之前，可以根据打包策略来组合特定处理器上的随机梯度下降算法。

公开(公告)号：US08605996B2

公开(公告)日：2013-12-10

申请号：US12336137

申请日：2008-12-16

申请人： Xiaochuan Ni ,  Gang Wang ,  Jian-Tao Sun ,  Zheng Chen

发明人： Xiaochuan Ni ,  Gang Wang ,  Jian-Tao Sun ,  Zheng Chen

IPC分类号： G06K9/62 ,  G06K9/00

CPC分类号： G06N99/005 ,  G06F17/2785 ,  G06F17/30707 ,  G06K9/6267 ,  G06Q30/02 ,  G06Q30/0201

摘要： Providing sentiment classification of out of domain data are disclosed herein. In some aspects, a source domain having a trained classifier is matched to a target domain having a target classifier. The trained classifier may include identifiers that may be used to predict the sentiment of opinion data for the source domain. The target classifier may use the identifiers of the trained classifier to determine the sentiment of opinion data for the target domain.