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    • 93. 发明申请
    • Dye-Sensitized Solar Cell via Co-Sensitization with Cooperative Dyes
    • 染料敏化太阳能电池与合作染料的共同敏化
    • US20140216553A1
    • 2014-08-07
    • US13758819
    • 2013-02-04
    • Sean VailDavid EvansKaren NishimuraWei PanJong-Jan Lee
    • Sean VailDavid EvansKaren NishimuraWei PanJong-Jan Lee
    • H01G9/20C09K3/00
    • H01G9/2063H01G9/2031H01L51/0078Y02E10/542
    • A co-sensitized dye-sensitized solar cell (DSC) is provided, made from a transparent substrate and a transparent conductive oxide (TCO) film overlying the transparent substrate. An n-type semiconductor layer overlies the TCO, and is co-sensitized with a first dye (D1) and a second dye (D2). A redox electrolyte is in contact with the co-sensitized n-type semiconductor layer, and a counter electrode overlies the redox electrolyte. The first dye (D1) has a first optical absorbance local maxima at a first wavelength (A1) and a second optical absorbance local maxima at a second wavelength (A2), longer than the first wavelength. The second dye (D2) has a third optical absorbance local maxima at a third wavelength (A3) between the first wavelength (A1) and the second wavelength (A2). In one aspect, the first dye (D1) includes a porphyrin material, for example, a metalloporphyrin obtained by complexation with a transition metal such as zinc (i.e. zinc porphyrin (ZnP)).
    • 提供由透明基板和覆盖透明基板的透明导电氧化物(TCO)膜制成的共感染染料敏化太阳能电池(DSC)。 n型半导体层覆盖在TCO上,并与第一染料(D1)和第二染料(D2)共感光。 氧化还原电解质与共敏化n型半导体层接触,并且反电极覆盖在氧化还原电解质上。 第一染料(D1)在第一波长(A1)具有第一吸光度局部最大值,在第二波长(A2)处具有比第一波长长的第二吸光度局部最大值。 第二染料(D2)在第一波长(A1)和第二波长(A2)之间的第三波长(A3)具有第三吸光度局部最大值。 一方面,第一染料(D1)包括卟啉材料,例如通过与诸如锌的过渡金属(即卟啉锌(ZnP))络合而获得的金属卟啉)。
    • 96. 发明申请
    • Methods and apparatus for prediction and modification of behavior in networks
    • 网络行为预测与修改的方法与装置
    • US20120303573A1
    • 2012-11-29
    • US13482925
    • 2012-05-29
    • Wei PanYaniv AltshulerAlex Paul PentlandNadav Aharony
    • Wei PanYaniv AltshulerAlex Paul PentlandNadav Aharony
    • G06N7/02
    • G06N7/005G06Q50/01
    • In exemplary implementations of this invention, mobile application (app) installations by users of one or more networks are predicted. Using network data gathered by smartphones, multiple “candidate” graphs (including a call log graph) are calculated. The “candidate” graphs are weighted by an optimization vector and then summed to calculate a composite graph. The composite graph is used to predict the conditional probabilities that the respective users will install an app, depending in part on whether the user's neighbors have previously installed the app. Exogenous factors, such as the app's quality, may be taken into account by creating a virtual candidate graph. The conditional probabilities may be used to select a subset of the users. Signals may be sent to the subset of users, including to recommend an app. Also, the probability of successful “trend ignition” may be predicted from network data.
    • 在本发明的示例性实现中,预测了一个或多个网络的用户的移动应用(app)安装。 使用智能手机收集的网络数据,计算出多个候选图(包括通话记录图)。 候选图由优化向量加权,然后相加以计算合成图。 复合图用于预测相应用户将安装应用程序的条件概率,部分取决于用户的邻居是否以前已安装该应用程序。 可以通过创建虚拟候选图来考虑外部因素,例如应用程序的质量。 条件概率可以用于选择用户的子集。 信号可能被发送到用户的子集,包括推荐一个应用程序。 此外,可以从网络数据预测成功的趋势点火的概率。