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    CARBON BASED ELECTROCATALYSTS FOR FUEL CELLS
    2.
    发明申请
    CARBON BASED ELECTROCATALYSTS FOR FUEL CELLS 审中-公开
    用于燃料电池的基于碳的电解质

    公开(公告)号：WO2006099593A2

    公开(公告)日：2006-09-21

    申请号：PCT/US2006/009846

    申请日：2006-03-15

    Applicant: PACIFIC FUEL CELL CORP. ,  THE REGENTS OF THE UNIVERSITY OF CALIFORNIA ,  CALIFORNIA INSTITUTE OF TECHNOLOGY ,  YAN, Yushan ,  WANG, Xin ,  LI, Wenzhen ,  WAJE, Mahesh ,  CHEN, Zhongwei ,  GODDARD, William A. ,  DENG, Wei-Qiao

    Inventor： YAN, Yushan ,  WANG, Xin ,  LI, Wenzhen ,  WAJE, Mahesh ,  CHEN, Zhongwei ,  GODDARD, William A. ,  DENG, Wei-Qiao

    IPC: H01M8/10

    CPC classification number: H01M4/881 ,  H01M4/8605 ,  H01M4/92 ,  H01M4/926 ,  H01M8/1004 ,  H01M8/1011 ,  Y02E60/523

    Abstract: Novel proton exchange membrane fuel cells and direct methanol fuel cells with nanostructured components are configured with higher precious metal utilization rate at the electrodes, higher power density, and lower cost. To form a catalyst, platinum or platinum-ruthenium nanoparticles are deposited onto carbon-based materials, for example, single-walled, dual-walled, multi-walled and cup-stacked carbon nanotubes. The deposition process includes an ethylene glycol reduction method. Aligned arrays of these carbon nanomaterials are prepared by filtering the nanomaterials with ethanol. A membrane electrode assembly is formed by sandwiching the catalyst between a proton exchange membrane and a diffusion layer that form a first electrode. The second electrode may be formed using a conventional catalyst. The several layers of the MEA are hot pressed to form an integrated unit. Proton exchange membrane fuel cells and direct methanol fuel cells are developed by stacking the membrane electrode assemblies in a conventional manner.

    Abstract translation: 新型质子交换膜燃料电池和具有纳米结构组分的直接甲醇燃料电池配置在电极上的贵金属利用率更高，功率密度更高，成本更低。 为了形成催化剂，将铂或铂 - 钌纳米颗粒沉积在碳基材料上，例如单壁，双壁，多壁和杯堆叠碳纳米管。 沉积工艺包括乙二醇还原法。 通过用乙醇过滤纳米材料来制备这些碳纳米材料的对准阵列。 通过将催化剂夹在质子交换膜和形成第一电极的扩散层之间形成膜电极组件。 第二电极可以使用常规的催化剂形成。 MEA的几层被热压形成一个集成的单元。 质子交换膜燃料电池和直接甲醇燃料电池通过以常规方式堆叠膜电极组件来开发。

    LIGHT MODULE ASSEMBLY HAVING REDUCED MOISTURE INGRESS AND METHOD FOR MANUFACTURING THE SAME
    3.
    发明申请
    LIGHT MODULE ASSEMBLY HAVING REDUCED MOISTURE INGRESS AND METHOD FOR MANUFACTURING THE SAME 审中-公开
    具有减少水分增益的轻型模块组件及其制造方法

    公开(公告)号：WO2016095184A1

    公开(公告)日：2016-06-23

    申请号：PCT/CN2014/094306

    申请日：2014-12-19

    Applicant: GE LIGHTING SOLUTIONS, LLC ,  SPAHNIE, Brian Morgan ,  WANG, Xin ,  WANG, Suping ,  FENG, Yongli ,  NI, Yan

    Inventor： SPAHNIE, Brian Morgan ,  WANG, Xin ,  WANG, Suping ,  FENG, Yongli ,  NI, Yan

    IPC: F21V5/00

    CPC classification number: F21V5/007 ,  F21K9/90 ,  F21V17/06 ,  F21V17/101 ,  F21V31/005 ,  F21Y2105/10 ,  F21Y2115/10

    Abstract: A light module assembly (100) includes a lens (104), a circuit board (200), and an overmold body (102). The lens (104) includes one or more pooling structures (218, 220) formed by transversely oriented exterior surfaces (402, 404) of the lens (104). The circuit board (200) is coupled to the lens (104) and has one or more light-generating devices (106) disposed on the circuit board (200). The overmold body (102) is coupled to the lens (104) to form an interface (214) between the lens (104) and the overmold body (102). The interface (214) between the lens (104) and the ovemold body (102) includes or defines moisture ingress path (216) into the circuit board (200). The one or more pooling structures (218, 220) prevent passage of moisture along the moisture ingress path (216) past the one or more pooling structures (218, 220) to the circuit board (200).

    Abstract translation: 光模块组件（100）包括透镜（104），电路板（200）和包覆模制体（102）。 透镜（104）包括由透镜（104）的横向定向的外表面（402,404）形成的一个或多个汇集结构（218,220）。 电路板（200）耦合到透镜（104）并且具有设置在电路板（200）上的一个或多个发光装置（106）。 包覆成型体102耦合到透镜104，以在透镜104和包覆成型体102之间形成界面214。 透镜（104）和成像体（102）之间的界面（214）包括或限定到电路板（200）中的湿气进入路径（216）。 一个或多个汇集结构（218,220）防止湿气沿着水分进入路径（216）通过一个或多个汇集结构（218,220）到达电路板（200）。

    CLIENT BEHAVIOR CONTROL IN ADAPTIVE STREAMING FILE
    4.
    发明申请
    CLIENT BEHAVIOR CONTROL IN ADAPTIVE STREAMING FILE 审中-公开
    自适应流文件中的客户行为控制

    公开(公告)号：WO2015106225A1

    公开(公告)日：2015-07-16

    申请号：PCT/US2015/011067

    申请日：2015-01-12

    Applicant: FUTUREWEI TECHNOLOGIES, INC. ,  HUAWEI TECHNOLOGIES CO., LTD. ,  ZHANG, Shaobo ,  WANG, Xin ,  LIU, Yongliang

    Inventor： ZHANG, Shaobo ,  WANG, Xin ,  LIU, Yongliang

    IPC: G06F15/16

    CPC classification number: H04L63/10 ,  H04L65/4084 ,  H04L65/605 ,  H04L67/02 ,  H04N21/24 ,  H04N21/258 ,  H04N21/6543

    Abstract: A computer-implemented method for controlling adaptive streaming media access includes requesting a first portion of media content from a content server and requesting authorization corresponding to a second portion of media content from an authorization server. The method further includes submitting evidence to the authorization server that the first portion of media content has been received by a client device and receiving a representation of authorization to access the second portion of media content in response to the evidence complying with a requirement. The method also includes requesting the second portion of media content from the content server, presenting the representation of authorization to the content server, and receiving the second portion of media content in response to the representation of authorization being accepted by the content server. The method can effectively control client behavior to prevent the client from skipping past required media content, such as a commercial advertisement.

    Abstract translation: 用于控制自适应流媒体接入的计算机实现的方法包括从内容服务器请求媒体内容的第一部分，并从授权服务器请求对应于第二部分媒体内容的授权。 该方法还包括向授权服务器提交证据，客户端设备已经接收到媒体内容的第一部分，并且响应于符合要求的证据，接收授权访问第二部分媒体内容的表示。 该方法还包括从内容服务器请求媒体内容的第二部分，向内容服务器呈现授权表示，以及响应于被内容服务器接受的授权的表示，接收媒体内容的第二部分。 该方法可以有效地控制客户端行为，以防止客户端跳过所需的媒体内容，如商业广告。

    SYSTEM AND METHOD FOR MANAGING TRANSFER OF RIGHTS USING SHARED STATE VARIABLES
    7.
    发明申请
    SYSTEM AND METHOD FOR MANAGING TRANSFER OF RIGHTS USING SHARED STATE VARIABLES 审中-公开
    使用共享状态变量管理权利转移的系统和方法

    公开(公告)号：WO2006041461A1

    公开(公告)日：2006-04-20

    申请号：PCT/US2004/032588

    申请日：2004-10-04

    Applicant: CONTENTGUARD HOLDINGS, INC. ,  NGUYEN, Mai ,  WANG, Xin ,  TA, Thanh ,  LAO, Guillermo ,  CHEN, Eddie, J.

    Inventor： NGUYEN, Mai ,  WANG, Xin ,  TA, Thanh ,  LAO, Guillermo ,  CHEN, Eddie, J.

    IPC: G06F1/14

    CPC classification number: G06F21/10

    Abstract: A method, system and device for transferring rights adapted to be associated with items from a rights supplier to a rights consumer, including obtaining a set of rights associated with an item, the set of rights including meta-rights specifying derivable rights that can be derived from the meta-; determining whether the rights consumer is entitled to the derivable rights specified by the meta-rights; and deriving at least one right from the derivable rights, if the rights consumer is entitled to the derivable rights specified by the meta-rights, wherein the derived right includes at least one state variable based on the set of rights and used for determining a state of the derived right.

    Abstract translation: 一种用于传送权利的方法，系统和装置，其适用于与权利供应商的项目相关联，包括获得与项目相关联的一组权限，所述一组权限包括指定可导出的可导出权限的权利要求 从元 确定权利消费者是否有权享有元权利规定的可衍生权利; 以及如果所述权利消费者有权享有所述元权利规定的可导出权限，则从所述可导出权利得出至少一个权利，其中，所述派生权利基于所述一组权利包括至少一个状态变量并且用于确定该状态 的衍生权。

    METHODS AND SYSTEMS TO TRAIN ARTIFICIAL INTELLIGENCE MODULES
    10.
    发明申请
    METHODS AND SYSTEMS TO TRAIN ARTIFICIAL INTELLIGENCE MODULES 审中-公开

    公开(公告)号：WO2021195845A1

    公开(公告)日：2021-10-07

    申请号：PCT/CN2020/082103

    申请日：2020-03-30

    Applicant: ORANGE ,  WANG, Xiaoyu Richard ,  ZHENG, Tao ,  WANG, Xin

    Inventor： WANG, Xiaoyu Richard ,  ZHENG, Tao ,  WANG, Xin

    IPC: G06N3/02 ,  G06N3/0454 ,  G06N3/08

    Abstract: Methods and systems to train artificial intelligence modules protect privacy of sensitive data by virtue of the fact that the data source (1) extracts blocks of partial data from the source item of content (11) and distributes the extracted partial data to a plurality of processing nodes (5) in an intermediate processing system (2). The processing nodes each perform an initial portion of the training process, for example by performing a convolution of the partial data, to produce a partial model (PM). The partial models (PM) are transmitted to a merging module (10) which amalgamates them and completes the training process to generate a global model (GM) for the AI task.

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