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    • 3. 发明申请
    • METHODS AND APPARATUS FOR RANKING UNCERTAIN DATA IN A PROBABILISTIC DATABASE
    • 在概率数据库中排列不确定数据的方法和装置
    • US20100235362A1
    • 2010-09-16
    • US12404906
    • 2009-03-16
    • Graham CormodeFeifei LiKe Yi
    • Graham CormodeFeifei LiKe Yi
    • G06F17/30
    • G06F17/3053G06F17/30286
    • Methods and apparatus for ranking uncertain data in a probabilistic database are disclosed. An example method disclosed herein comprises using a set of data tuples representing a plurality of possible data set instantiations associated with a respective plurality of instantiation probabilities to store non-deterministic data in a database, each data tuple corresponding to a set of possible data tuple instantiations, each data set instantiation realizable by selecting a respective data tuple instantiation for at least some of the data tuples, the method further comprising determining an expected rank for each data tuple included in at least a subset of the set of data tuples, the expected rank for a particular data tuple representing a combination of weighted component ranks of the particular data tuple, each component rank representing a ranking of the data tuple in a corresponding data set instantiation, each component ranking weighted by a respective instantiation probability.
    • 披露了概率数据库中不确定数据排序的方法和装置。 本文公开的示例性方法包括使用表示与相应多个实例化概率相关联的多个可能数据集实例的一组数据元组来存储数据库中的非确定性数据,每个数据元组对应于一组可能的数据元组实例化 通过为所述数据元组中的至少一些元组选择相应的数据元组实例化来实现每个数据集实例化,所述方法还包括确定包含在该组数据元组的至少一个子集中的每个数据元组的预期等级,预期等级 对于表示特定数据元组的加权分量等级的组合的特定数据元组,每个分量等级表示相应数据集实例中的数据元组的排序,每个分量排列由相应的实例化概率加权。
    • 4. 发明授权
    • Methods and apparatus for ranking uncertain data in a probabilistic database
    • 在概率数据库中排列不确定数据的方法和装置
    • US08825640B2
    • 2014-09-02
    • US12404906
    • 2009-03-16
    • Graham CormodeFeifei LiKe Yi
    • Graham CormodeFeifei LiKe Yi
    • G06F17/30
    • G06F17/3053G06F17/30286
    • Methods and apparatus for ranking uncertain data in a probabilistic database are disclosed. An example method disclosed herein comprises using a set of data tuples representing a plurality of possible data set instantiations associated with a respective plurality of instantiation probabilities to store non-deterministic data in a database, each data tuple corresponding to a set of possible data tuple instantiations, each data set instantiation realizable by selecting a respective data tuple instantiation for at least some of the data tuples, the method further comprising determining an expected rank for each data tuple included in at least a subset of the set of data tuples, the expected rank for a particular data tuple representing a combination of weighted component ranks of the particular data tuple, each component rank representing a ranking of the data tuple in a corresponding data set instantiation, each component ranking weighted by a respective instantiation probability.
    • 披露了概率数据库中不确定数据排序的方法和装置。 本文公开的示例性方法包括使用表示与相应多个实例化概率相关联的多个可能数据集实例的一组数据元组来存储数据库中的非确定性数据,每个数据元组对应于一组可能的数据元组实例化 通过为所述数据元组中的至少一些元组选择相应的数据元组实例化来实现每个数据集实例化,所述方法还包括确定包含在该组数据元组的至少一个子集中的每个数据元组的预期等级,预期等级 对于表示特定数据元组的加权分量等级的组合的特定数据元组,每个分量等级表示相应数据集实例中的数据元组的排序,每个分量排列由相应的实例化概率加权。
    • 5. 外观设计
    • Electric tricycle
    • USD1044605S1
    • 2024-10-01
    • US29871482
    • 2023-02-21
    • Feifei Li
    • Feifei Li
    • FIG. 1 is a top, front and right side perspective view of an electric tricycle embodying my new design;
      FIG. 2 is a bottom, rear and left side perspective view thereof;
      FIG. 3 is a right side elevation view thereof;
      FIG. 4 is a left side elevation view thereof;
      FIG. 5 is a rear elevation view thereof;
      FIG. 6 is a front elevation view thereof;
      FIG. 7 is a top plan view thereof;
      FIG. 8 is a bottom plan view thereof;
      FIG. 9 is an enlarged and partial perspective view of portion 9 in FIG. 1;
      FIG. 10 is an enlarged and partial perspective view of portion 10 in FIG. 1;
      FIG. 11 is an enlarged and partial perspective view of portion 11 in FIG. 1;
      FIG. 12 is an enlarged and partial perspective view of portion 12 in FIG. 2;
      FIG. 13 is an enlarged and partial perspective view of portion 13 in FIG. 2; and,
      FIG. 14 is an enlarged and partial perspective view of portion 14 in FIG. 2.
      The broken lines in the figures illustrate portions of the electric tricycle that form no part of the claimed design.
      The dash-dot broken lines in the drawings are for annotative purposes and are provided to indicate the areas of enlargements. They do not represent actual structure.
    • 6. 发明申请
    • Transistor Based on Resonant Tunneling Effect of Double Barrier Tunneling Junctions
    • 基于双阻挡隧道结共振隧穿效应的晶体管
    • US20080246023A1
    • 2008-10-09
    • US11663684
    • 2005-04-08
    • Zhongming ZengXiufeng HanJiafeng FengTianxing WangGuanxiang DuFeifei LiWenshan Zhan
    • Zhongming ZengXiufeng HanJiafeng FengTianxing WangGuanxiang DuFeifei LiWenshan Zhan
    • H01L29/06H01L27/082
    • H01L29/66984B82Y10/00H01L29/7376
    • The present invention relates to a transistor based on resonant tunneling effect of double barrier tunneling junctions comprising: a substrate, an emitter, a base, a collector and a first and a second tunneling barrier layers; wherein the first tunneling barrier layer is located between the emitter and the base, and the second tunneling barrier layer is located between the base and the collector; furthermore, the junction areas of the tunneling junctions which are formed between the emitter and the base and between the base and collector respectively are 1 μm2˜10000 μm2; the thickness of the base is comparable to the electron mean free path of material in the layer; the magnetization orientation is unbounded in one and only one pole of said emitter, base and collector. Because the double-barrier structure is used, it overcomes the Schottky potential between the base and the collector. Wherein the base current is a modulating signal, the collector signal is modulated to be similar to the base current's modulating mode by changing the magnetization orientation of the base or the collector, i.e., the resonant tunneling effect occurs. An amplified signal can be obtained under the suitable conditions.
    • 本发明涉及一种基于双阻挡隧道结的谐振隧道效应的晶体管,包括:衬底,发射极,基极,集电极和第一和第二隧道势垒层; 其中所述第一隧道势垒层位于所述发射极和所述基极之间,并且所述第二隧穿势垒层位于所述基极和所述集电极之间; 此外,形成在发射极和基极之间以及基极和集电极之间的隧道结的接合面分别为1μm2〜10000μm2。 基底的厚度与层中材料的电子平均自由程相当; 磁化方向在所述发射极,基极和集电极的一个且仅一个极中是无界的。 因为使用双重阻挡结构,它克服了基极和集电极之间的肖特基电位。 其中基极电流是调制信号,通过改变基极或集电极的磁化取向,即发生谐振隧穿效应,将集电极信号调制成与基极电流的调制模式相似。 在合适的条件下可以获得放大的信号。
    • 7. 外观设计
    • Electric bicycle
    • USD1040030S1
    • 2024-08-27
    • US29865782
    • 2022-08-11
    • Feifei Li
    • Feifei Li
    • FIG. 1 is a front and top perspective view of an electric bicycle, showing my new design;
      FIG. 2 is a rear and bottom perspective view thereof;
      FIG. 3 is a front elevation view thereof;
      FIG. 4 is a rear elevation view thereof;
      FIG. 5 is a left side elevation view thereof;
      FIG. 6 is a right side elevation view thereof;
      FIG. 7 is a top plan view thereof;
      FIG. 8 is a bottom plan view thereof;
      FIG. 9 is an enlarged view of a portion indicated with “9” in FIG. 1;
      FIG. 10 is an enlarged view of a portion indicated with “10” in FIG. 1;
      FIG. 11 is an enlarged view of a portion indicated with “11” in FIG. 1;
      FIG. 12 is an enlarged view of a portion indicated with “12” in FIG. 1;
      FIG. 13 is an enlarged view of a portion indicated with “13” in FIG. 2;
      FIG. 14 is an enlarged view of a portion indicated with “14” in FIG. 2;
      FIG. 15 is an enlarged view of a portion indicated with “15” in FIG. 2; and,
      FIG. 16 is an enlarged view of a portion indicated with “16” in FIG. 5.
      The broken lines in the figures illustrate portions of the electric bicycle that form no part of the claimed design. The dash dot dash lines in FIGS. 1, 2, 5 and 9-16 are for the purpose of depicting the boundary lines of the enlarged view and form no part of the claimed design.
    • 8. 发明授权
    • Using accounting data based indexing to create a low volatility portfolio of financial objects
    • 使用基于会计数据的索引来创建财务对象的低波动组合
    • US08694402B2
    • 2014-04-08
    • US13593415
    • 2012-08-23
    • Robert D. ArnottPaul Christopher WoodFeifei Li
    • Robert D. ArnottPaul Christopher WoodFeifei Li
    • G06Q40/00
    • G06Q40/06G06Q40/04
    • A system, method and computer program product creates an index based on accounting data, or a portfolio of financial objects based on the index where the portfolio is weighted according to accounting data. Indexes may be built with metrics other than market capitalization weighting, price weighting or equal weighting. Financial and non-financial metrics may be used to build indexes to create passive investment systems. A combination of financial non-market capitalization metrics may be used with non-financial metrics to create passive investment systems. Once built, the index may be used as a basis to purchase securities for a portfolio. Specifically excluded are widely-used capitalization-weighted and price-weighted indexes, in which price of a security contributes in a substantial way to calculation of weight of that security in the index or the portfolio, and equal weighting weighted indexes. The indexes may be constructed to minimize volatility.
    • 系统,方法和计算机程序产品将根据会计数据或财务对象组合,根据会计数据对投资组合加权的指数进行创建。 指数可以用除市值加权,价格加权或相等权重之外的指标构建。 可以使用财务和非财务指标来构建指标来创建被动投资系统。 金融非市值资本指标的组合可以与非财务指标一起使用,以创建被动投资系统。 一旦建成,该指数可用作为投资组合购买证券的基础。 具体排除的是广泛使用的资本化加权和价格加权指数,其中安全性的价格有力地计算指数或投资组合中该证券的权重,以及相等的加权权重指数。 可以构建索引以最小化挥发性。
    • 10. 发明申请
    • SYSTEM, METHOD & COMPUTER PROGRAM PRODUCT FOR CONSTRUCTING AN OPTIMIZED FACTOR PORTFOLIO
    • 用于构建优化因子组合的系统,方法和计算机程序产品
    • US20120246094A1
    • 2012-09-27
    • US13403899
    • 2012-02-23
    • Jason C. HsuFeifei LiOmid ShakerniaDenis Biangolino Chaves
    • Jason C. HsuFeifei LiOmid ShakerniaDenis Biangolino Chaves
    • G06Q40/06
    • G06Q40/06
    • A system, method or computer program product for electronically constructing data indicative of an investible risk factor portfolio is disclosed. The method may include: constructing, by a processor(s), data indicative of an optimized factor portfolio, which may include: receiving data about a plurality of monthly returns for multiple years for a universe of asset classes; receiving data about investment returns; extracting a plurality of orthogonal risk factors, at least one factor characteristic, and an asset class-factor translation matrix by principal component analysis (PCA) from the data about the universe of asset classes; and optimizing to determine the optimized factor portfolio; constructing an investible custom mimicking portfolio based on the optimized factor portfolio, and any portfolio constraints, or any portfolio specifications, may include rebuilding using the asset class-factor translation matrix and an optimization process based on investment returns; and providing data indicative of the custom mimicking investible portfolio.
    • 公开了一种用于电子构建表示可投资风险因素组合的数据的系统,方法或计算机程序产品。 该方法可以包括:由处理器构建指示优化因子投资组合的数据,其可以包括:接收关于多个资产类别的多年的多个月回报的数据; 收到有关投资回报的数据; 从资产类别的数据中通过主成分分析(PCA)提取多个正交危险因素,至少一个因素特征和资产类别因素转换矩阵; 并优化确定优化因子组合; 基于优化因素组合构建可投资定制模拟投资组合,任何投资组合约束或任何投资组合规范可能包括使用资产类别因素转换矩阵进行重建,以及基于投资回报的优化流程; 并提供表示自定义模拟投资组合的数据。