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131. 发明授权

US07306823B2 Coated nanoparticles and quantum dots for solution-based fabrication of photovoltaic cells 有权
标题翻译：用于光伏电池基于溶液的制造的涂层纳米颗粒和量子点
公开(公告)号：US07306823B2
公开(公告)日：2007-12-11
申请号：US10943657
申请日：2004-09-18
申请人： Brian M. Sager , Dong Yu , Matthew R. Robinson
发明人： Brian M. Sager , Dong Yu , Matthew R. Robinson
IPC分类号： B05D5/12 , B05D7/00 , B05D1/36
CPC分类号： H01L31/0322 , B22F1/0018 , B22F1/025 , B22F2999/00 , B82Y20/00 , B82Y30/00 , C23C16/45544 , C23C18/1216 , C23C18/52 , H01L31/035281 , H01L31/0384 , H01L31/0749 , H01L51/0026 , H01L51/0037 , H01L51/426 , Y02E10/541 , Y02E10/549 , Y10S977/773 , Y10S977/857 , Y10S977/89 , Y10S977/892 , Y10T428/12181 , Y10T428/2991 , B22F1/02 , B22F2202/15 , B22F2202/01
摘要： CIGS absorber layers fabricated using coated semiconducting nanoparticles and/or quantum dots are disclosed. Core nanoparticles and/or quantum dots containing one or more elements from group IB and/or IIIA and/or VIA may be coated with one or more layers containing elements group IB, IIIA or VIA. Using nanoparticles with a defined surface area, a layer thickness could be tuned to give the proper stoichiometric ratio, and/or crystal phase, and/or size, and/or shape. The coated nanoparticles could then be placed in a dispersant for use as an ink, paste, or paint. By appropriate coating of the core nanoparticles, the resulting coated nanoparticles can have the desired elements intermixed within the size scale of the nanoparticle, while the phase can be controlled by tuning the stochiometry, and the stoichiometry of the coated nanoparticle may be tuned by controlling the thickness of the coating(s).
摘要翻译：公开了使用涂覆的半导体纳米颗粒和/或量子点制造的CIGS吸收层。含IB和/或IIIA和/或VIA的一种或多种元素的核心纳米颗粒和/或量子点可以涂覆有含有IB，IIIA或VIA族元素的一层或多层。使用具有限定表面积的纳米颗粒，可以调节层厚度以获得适当的化学计量比和/或晶体相，和/或尺寸和/或形状。然后将涂覆的纳米颗粒置于分散剂中用作油墨，糊剂或油漆。通过适当地涂覆核心纳米颗粒，所得到的涂覆的纳米颗粒可以将期望的元素混合在纳米颗粒的尺寸范围内，而可以通过调整化学计量来控制相位，并且涂覆的纳米颗粒的化学计量可以通过控制涂层厚度。

132. 发明申请

US20060174934A1 Optoelectronic device and frabrication method 审中-公开
标题翻译：光电器件及其制造方法
公开(公告)号：US20060174934A1
公开(公告)日：2006-08-10
申请号：US11375413
申请日：2006-03-13
申请人： Brian Sager , Martin Roscheisen , Klaus Petristsch , Greg Smestad , Jacqueline Fidanza , Gregory Miller , Dong Yu
发明人： Brian Sager , Martin Roscheisen , Klaus Petristsch , Greg Smestad , Jacqueline Fidanza , Gregory Miller , Dong Yu
IPC分类号： H01L31/042 , H01L31/00
CPC分类号： H01L51/4226 , H01L51/0034 , H01L51/0035 , H01L51/0036 , H01L51/0038 , H01L51/0052 , H01L51/0053 , H01L51/0064 , H01L51/0078 , H01L51/4253 , Y02E10/549 , Y02P70/521
摘要： Charge-splitting networks, optoelectronic devices, methods for making optoelectronic devices, power generation systems utilizing such devices and method for making charge-splitting networks are disclosed. An optoelectronic device may include a porous nano-architected (e.g., surfactant-templated) film having interconnected pores that are accessible from both the underlying and overlying layers. A pore-filling material substantially fills the pores. The interconnected pores have diameters of about 1-100 nm and are distributed in a substantially uniform fashion with neighboring pores separated by a distance of about 1-100 nm. The nano-architected porous film and the pore-filling material have complementary charge-transfer properties with respect to each other, i.e., one is an electron-acceptor and the other is a hole-acceptor. The nano-architected porous, film may be formed on a substrate by a surfactant temptation technique such as evaporation-induced self-assembly. A solar power generation system may include an array of such optoelectronic devices in the form of photovoltaic cells with one or more cells in the array having one or more porous charge-splitting networks disposed between an electron-accepting electrode and a hole-accepting electrode.
摘要翻译：公开了电荷分解网络，光电子器件，制造光电器件的方法，利用这种器件的发电系统以及用于制造电荷分解网络的方法。光电子器件可以包括具有互连孔的多孔纳米结构（例如，表面活性剂模板化）膜，其可以从下面的层和上层两者接近。孔填充材料基本上填充孔。相互连通的孔具有大约1-100nm的直径，并以基本上均匀的方式分布，其中相邻的孔分开约1-100nm的距离。纳米构造的多孔膜和孔隙填充材料相互之间具有互补的电荷转移性质，即一个是电子受体，另一个是空穴受体。纳米结构的多孔膜可以通过表面活性剂诱导技术如蒸发诱导的自组装形成在基底上。太阳能发电系统可以包括光伏电池形式的这种光电子器件的阵列，阵列中的一个或多个电池具有设置在电子接受电极和空穴接受电极之间的一个或多个多孔电荷分解网络。

133. 发明申请

US20050228642A1 Efficient capitalization through user modeling 有权
标题翻译：通过用户建模有效的大写
公开(公告)号：US20050228642A1
公开(公告)日：2005-10-13
申请号：US10819023
申请日：2004-04-06
申请人： Peter Mau , Dong Yu
发明人： Peter Mau , Dong Yu
IPC分类号： G06F17/21 , G06F17/27
CPC分类号： G06F17/273
摘要： A method of automatically capitalizing text utilizes a capitalization model. The capitalization model is trained from data that is taken from documents associated with a particular user. In particular, documents that are authored by the user such as e-mails, are used to train the model.
摘要翻译：自动大写文本的方法利用大写字母模型。资本化模型是从与特定用户相关联的文档中获取的数据进行培训。特别地，用户编写的文档，如电子邮件，用于训练模型。

134. 发明申请

US20050121068A1 PHOTOVOLTAIC DEVICES FABRICATED BY GROWTH FROM POROUS TEMPLATE 失效
标题翻译：由多孔模板生长制成的光伏器件
公开(公告)号：US20050121068A1
公开(公告)日：2005-06-09
申请号：US10443456
申请日：2003-05-21
申请人： Brian Sager , Martin Roscheisen , Klus Petritsch , Karl Pichler , Jacqueline Fidanza , Dong Yu
发明人： Brian Sager , Martin Roscheisen , Klus Petritsch , Karl Pichler , Jacqueline Fidanza , Dong Yu
IPC分类号： H01L20060101 , H01L31/00 , H01L31/0256 , H01L31/0352 , H01L31/042 , H01L31/18
CPC分类号： H01L51/4213 , H01L51/0036 , H01L51/0037 , H01L51/422 , H01L51/4253 , H01L51/447 , Y02E10/549 , Y02P70/521
摘要： Photovoltaic devices, such as solar cells, and methods for their manufacture are disclosed. A device may be characterized by an architecture where two more materials having different electron affinities are regularly arrayed such that their presence alternates within distances of between about 1 nm and about 100 nm. The materials are present in a matrix based on a porous template with an array of template pores. The porous template is formed by anodizing a layer of metal. A photovoltaic device may include such a porous template disposed between a base electrode and a transparent conducting electrode. A first charge-transfer material fills the template pores, A second (complementary) charge-transfer material fills additional space not occupied by the first charge-transfer material.
摘要翻译：公开了太阳能电池等光伏器件及其制造方法。器件的特征可以在于其中两个具有不同电子亲和力的材料被规则排列的结构，使得它们的存在在约1nm和约100nm之间的距离内交替。该材料基于具有模板孔阵列的多孔模板存在于基质中。通过阳极氧化一层金属形成多孔模板。光伏器件可以包括设置在基极和透明导电电极之间的这种多孔模板。第一电荷转移材料填充模板孔。第二（互补）电荷转移材料填充未被第一电荷转移材料占据的附加空间。

135. 发明授权

US4908222A Microwave brewing apparatus and method 失效
标题翻译：微波酿造设备及方法
公开(公告)号：US4908222A
公开(公告)日：1990-03-13
申请号：US322980
申请日：1989-03-14
申请人： Dong Yu
发明人： Dong Yu
IPC分类号： A23F5/26 , A47J31/54 , A47J36/02 , B65D81/34
CPC分类号： A23F5/26 , A47J31/547 , A47J36/027 , B65D2581/3409 , Y10S99/14
摘要： A beverage brewing apparatus and method using microwave energy is disclosed. The apparatus comprises a pressurizable water reservoir and a filter chamber disposed below the reservoir. The reservoir is provided with pressure overflow means which, in operation, prevents water in the reservoir from overflowing into the filter chamber until vapor pressure is built up in the reservoir due to the influx of microwave energy so as to force the heated water to overflow into the filter chamber to mix with an infusible material, e.g. ground coffee to make a beverage.
摘要翻译：公开了一种使用微波能量的饮料冲泡设备和方法。该装置包括可加压的储水器和设置在贮存器下方的过滤室。储存器设置有压力溢流装置，其在操作中防止储存器中的水溢出到过滤室中，直到由于微波能量的涌入而在储存器中形成蒸气压力，以便迫使加热的水溢出过滤室与不熔材料混合，例如研磨咖啡来制作饮料。

136. 发明授权

US09165243B2 Tensor deep stacked neural network 有权
标题翻译：张量深层神经网络
公开(公告)号：US09165243B2
公开(公告)日：2015-10-20
申请号：US13397580
申请日：2012-02-15
申请人： Dong Yu , Li Deng , Brian Hutchinson
发明人： Dong Yu , Li Deng , Brian Hutchinson
IPC分类号： G06N3/04 , G06N3/08
CPC分类号： G06N3/04 , G06N3/08
摘要： A tensor deep stacked neural (T-DSN) network for obtaining predictions for discriminative modeling problems. The T-DSN network and method use bilinear modeling with a tensor representation to map a hidden layer to the predication layer. The T-DSN network is constructed by stacking blocks of a single hidden layer tensor neural network (SHLTNN) on top of each other. The single hidden layer for each block then is separated or divided into a plurality of two or more sections. In some embodiments, the hidden layer is separated into a first hidden layer section and a second hidden layer section. These multiple sections of the hidden layer are combined using a product operator to obtain an implicit hidden layer having a single section. In some embodiments the product operator is a Khatri-Rao product. A prediction is made using the implicit hidden layer and weights, and the output prediction layer is consequently obtained.
摘要翻译：张量深层次神经（T-DSN）网络，用于获得鉴别建模问题的预测。 T-DSN网络和方法使用具有张量表示的双线性建模来将隐藏层映射到预测层。 T-DSN网络由单个隐层张量神经网络（SHLTNN）的堆叠堆叠构成。然后，每个块的单个隐藏层被分离或分成多个两个或更多个部分。在一些实施例中，隐藏层被分成第一隐藏层部分和第二隐藏层部分。使用产品运算符组合隐藏层的这些多个部分以获得具有单个部分的隐式隐藏层。在一些实施例中，产品操作者是Khatri-Rao产品。使用隐式隐层和权重进行预测，从而获得输出预测层。

137. 发明授权

US08793130B2 Confidence measure generation for speech related searching 有权
标题翻译：语音相关搜索的置信度生成
公开(公告)号：US08793130B2
公开(公告)日：2014-07-29
申请号：US13428917
申请日：2012-03-23
申请人： Ye-Yi Wang , Yun-Cheng Ju , Dong Yu
发明人： Ye-Yi Wang , Yun-Cheng Ju , Dong Yu
IPC分类号： G10L15/00
CPC分类号： G10L15/1822
摘要： A method of generating a confidence measure generator is provided for use in a voice search system, the voice search system including voice search components comprising a speech recognition system, a dialog manager and a search system. The method includes selecting voice search features, from a plurality of the voice search components, to be considered by the confidence measure generator in generating a voice search confidence measure. The method includes training a model, using a computer processor, to generate the voice search confidence measure based on selected voice search features.
摘要翻译：提供了一种产生置信度量产生器的方法，用于语音搜索系统中，该语音搜索系统包括包括语音识别系统，对话管理器和搜索系统的语音搜索组件。该方法包括从多个语音搜索组件中选择语音搜索特征，以由置信度量产生器在生成语音搜索置信度量时考虑。该方法包括使用计算机处理器来训练模型，以基于所选择的语音搜索特征生成语音搜索置信度度量。

138. 发明申请

US20120303565A1 LEARNING PROCESSES FOR SINGLE HIDDEN LAYER NEURAL NETWORKS WITH LINEAR OUTPUT UNITS 有权
标题翻译：具有线性输出单元的单一隐藏层神经网络的学习过程
公开(公告)号：US20120303565A1
公开(公告)日：2012-11-29
申请号：US13113100
申请日：2011-05-23
申请人： Li Deng , Dong Yu
发明人： Li Deng , Dong Yu
IPC分类号： G06N3/08
CPC分类号： G06N3/08 , G05B13/027 , G06N99/005 , G06T2207/20084
摘要： Learning processes for a single hidden layer neural network, including linear input units, nonlinear hidden units, and linear output units, calculate the lower-layer network parameter gradients by taking into consideration a solution for the upper-layer network parameters. The upper-layer network parameters are calculated by a closed form formula given the lower-layer network parameters. An accelerated gradient algorithm can be used to update the lower-layer network parameters. A weighted gradient also can be used. With the combination of these techniques, accelerated training with faster convergence, to a point with a lower error rate, can be obtained.
摘要翻译：通过考虑上层网络参数的解决方案，单层隐层神经网络的学习过程包括线性输入单元，非线性隐藏单元和线性输出单元，计算下层网络参数梯度。给定较低层网络参数，上层网络参数由闭合形式公式计算。可以使用加速梯度算法来更新下层网络参数。也可以使用加权梯度。通过这些技术的组合，可以获得具有较快收敛速度的加速训练，降低错误率的点。

139. 发明申请

US20120254086A1 DEEP CONVEX NETWORK WITH JOINT USE OF NONLINEAR RANDOM PROJECTION, RESTRICTED BOLTZMANN MACHINE AND BATCH-BASED PARALLELIZABLE OPTIMIZATION 有权
标题翻译：连续使用非线性随机投影，限制性BOLTZMANN机器和基于批量的平行优化的深层网络
公开(公告)号：US20120254086A1
公开(公告)日：2012-10-04
申请号：US13077978
申请日：2011-03-31
申请人： Li Deng , Dong Yu , Alejandro Acero
发明人： Li Deng , Dong Yu , Alejandro Acero
IPC分类号： G06N3/08
CPC分类号： G06N3/08 , G06N3/02 , G06N3/04 , G06N3/0454
摘要： A method is disclosed herein that includes an act of causing a processor to access a deep-structured, layered or hierarchical model, called deep convex network, retained in a computer-readable medium, wherein the deep-structured model comprises a plurality of layers with weights assigned thereto. This layered model can produce the output serving as the scores to combine with transition probabilities between states in a hidden Markov model and language model scores to form a full speech recognizer. The method makes joint use of nonlinear random projections and RBM weights, and it stacks a lower module's output with the raw data to establish its immediately higher module. Batch-based, convex optimization is performed to learn a portion of the deep convex network's weights, rendering it appropriate for parallel computation to accomplish the training. The method can further include the act of jointly substantially optimizing the weights, the transition probabilities, and the language model scores of the deep-structured model using the optimization criterion based on a sequence rather than a set of unrelated frames.
摘要翻译：本文公开了一种方法，其包括使处理器访问被保留在计算机可读介质中的称为深凸网络的深层结构的分层或层次模型的动作，其中深层结构模型包括多个具有分配给它的权重。该分层模型可以产生作为分数的输出，以与隐藏的马尔可夫模型和语言模型分数中的状态之间的转移概率相结合，以形成完整的语音识别器。该方法联合使用非线性随机投影和RBM权重，并将较低模块的输出与原始数据叠加以建立其立即更高的模块。执行基于批次的凸优化来学习深凸网络权重的一部分，使其适合于并行计算以完成训练。该方法还可以包括使用基于序列而不是一组不相关帧的优化准则共同基本优化深层结构模型的权重，转移概率和语言模型分数的动作。

140. 发明授权

US08219406B2 Speech-centric multimodal user interface design in mobile technology 有权
标题翻译：以移动技术为中心的多模态用户界面设计
公开(公告)号：US08219406B2
公开(公告)日：2012-07-10
申请号：US11686722
申请日：2007-03-15
申请人： Dong Yu , Li Deng
发明人： Dong Yu , Li Deng
IPC分类号： G10L21/00
CPC分类号： G06F3/038 , G06F2203/0381 , G10L15/24
摘要： A multi-modal human computer interface (HCI) receives a plurality of available information inputs concurrently, or serially, and employs a subset of the inputs to determine or infer user intent with respect to a communication or information goal. Received inputs are respectively parsed, and the parsed inputs are analyzed and optionally synthesized with respect to one or more of each other. In the event sufficient information is not available to determine user intent or goal, feedback can be provided to the user in order to facilitate clarifying, confirming, or augmenting the information inputs.
摘要翻译：多模式人机界面（HCI）同时或串行地接收多个可用信息输入，并且使用输入的子集来确定或推断关于通信或信息目标的用户意图。分别对接收到的输入进行解析，并且解析输入相对于彼此中的一个或多个进行分析并任选地合成。如果没有足够的信息来确定用户意图或目标，则可以向用户提供反馈，以便于澄清，确认或增加信息输入。

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