Unlimited Ethanol Based Hand Sanitizer

    公开(公告)号:US20210277525A1

    公开(公告)日:2021-09-09

    申请号:US17189901

    申请日:2021-03-02

    IPC分类号: C25B3/21 C25B3/07

    摘要: A process provides an unlimited source of ethanol based, liquid disinfectant for application directly to human hands or to hand wipes, by combining a carbon nanospike catalyst with a copper catalyst, carbon dioxide, water and water vapor in an electrochemical process initiated by a power source. Further, an improved process provides for making the carbon nanospike, through injection with photons and electromagnetic waves.

    Unlimited Energy Storage of Ammonia

    公开(公告)号:US20220282382A1

    公开(公告)日:2022-09-08

    申请号:US17582272

    申请日:2022-01-24

    IPC分类号: C25B1/27

    摘要: A process provides an unlimited source of ammonia, for primary use as a liquid disinfectant for application directly to human hands or to hand wipes, by combining a carbon nanospike catalyst with a copper catalyst, carbon dioxide, water and water vapor in an electrochemical process initiated by a power source. And a process for making urea by addition of carbon dioxide. Further, an improved process provides for making the carbon nanospike, through injection with photons and electromagnetic waves.

    Unlimited Ethanol Based Hand Sanitizer by Injection

    公开(公告)号:US20220282383A1

    公开(公告)日:2022-09-08

    申请号:US17582225

    申请日:2022-01-24

    IPC分类号: C25B3/21 C25B3/07

    摘要: A process provides an unlimited source of ethanol, for primary use as a liquid disinfectant for application directly to human hands or to hand wipes, by combining a carbon nanospike catalyst with a copper catalyst, carbon dioxide, water and water vapor, and injection of photons and electromagnetic waves, in an electrochemical process initiated by a power source. The process also provides an unlimited source for hydrogen peroxide and ammonia. Further, the application provides an improved process for making the carbon nanospike, through injection with photons and electromagnetic waves.

    Method and apparatus for MIMO-based multiple base station collaborative communication
    4.
    发明授权
    Method and apparatus for MIMO-based multiple base station collaborative communication 有权
    用于基于MIMO的多基站协作通信的方法和装置

    公开(公告)号:US09071291B2

    公开(公告)日:2015-06-30

    申请号:US13125304

    申请日:2008-10-31

    摘要: A solution for multiple base station collaborative communication in TDD (Time Division Duplex) and FDD (Frequency Division Duplex) systems is provided. To be specific, a serving base station and coordinating base station transmit detection signals with specific Multiple Input Multiple Output (MIMO) features on one or more communication resources. The mobile station measures the detection signals on the one or more communication resources and generates indication information of the recommended collaborative communication modes based on the measurement results. Preferably the indexes of the time-frequency resources corresponding to the recommended collaborative communication modes are reported to the serving base station. Then the serving base station schedules at least one of the one or more mobile stations according to the indication information reported by the one or more stations and provides MIMO communication manner for the mobile station scheduled. The coverage of the cells is improved, the cell edge user throughput is increased and the inter-cell interference between neighboring base stations is decreased by exploiting the invention. Preferably the amount of uplink feedback information is decreased and the uplink bandwidth is saved.

    摘要翻译: 提供了TDD(时分双工)和FDD(Frequency Division Duplex)系统中多基站协同通信的解决方案。 具体来说,服务基站和协调基站在一个或多个通信资源上传送具有特定多输入多输出(MIMO)特征的检测信号。 移动站测量一个或多个通信资源上的检测信号,并基于测量结果生成推荐的协作通信模式的指示信息。 优选地,将与推荐的协作通信模式相对应的时间 - 频率资源的索引报告给服务基站。 然后,服务基站根据由一个或多个站报告的指示信息来调度一个或多个移动站中的至少一个,并为调度的移动站提供MIMO通信方式。 改善了小区的覆盖范围,通过利用本发明,增加了小区边缘用户吞吐量并减少了相邻基站之间的小区间干扰。 优选地,上行链路反馈信息的量减少,并且保存上行链路带宽。

    Method for determining precoding matrix and corresponding communication methods and devices
    5.
    发明授权
    Method for determining precoding matrix and corresponding communication methods and devices 有权
    用于确定预编码矩阵和相应的通信方法和装置的方法

    公开(公告)号:US08861639B2

    公开(公告)日:2014-10-14

    申请号:US13822456

    申请日:2011-08-24

    摘要: A method for determining precoding matrix for the sub-band precoding in a transmitter with M transmitting antennas. The method includes determining an optimized first matrix W1 according to wideband and/or long-term channel properties, multiplying the optimized first matrix W1, with each second matrix W2, in a second codebook, to obtain a plurality of candidate precoding matrices, the second matrix W2 corresponds to frequency-selective and/or short-term channel properties; selecting an optimized one from the plurality of candidate preceding matrices for precoding the data to be transmitted, according to a frequency selection and/or a short-term channel state information. The amount of DFT beams may be increased to improve the spatial resolution; a diagonal matrix is involved in the first matrix W1; and phase adjustment is involved in the second matrix W2, so as to guarantee the adjusted phase is evenly distributed among the whole phase space.

    摘要翻译: 一种用于确定具有M个发射天线的发射机中的子带预编码的预编码矩阵的方法。 该方法包括:根据宽带和/或长期信道特性,在第二码本中将优化的第一矩阵W1与每个第二矩阵W2相乘,以确定优化的第一矩阵W1,以获得多个候选预编码矩阵,第二 矩阵W2对应于频率选择和/或短期信道特性; 根据频率选择和/或短期信道状态信息,从所述多个候选先前矩阵中选择优化的一个,用于对要发送的数据进行预编码。 可以增加DFT光束的量以提高空间分辨率; 对角矩阵涉及第一矩阵W1; 并且第二矩阵W2中涉及相位调整,以保证调整后的相位在整个相位空间内均匀分布。

    Evaluating image similarity
    6.
    发明授权
    Evaluating image similarity 有权
    评估图像相似度

    公开(公告)号:US08831358B1

    公开(公告)日:2014-09-09

    申请号:US13430803

    申请日:2012-03-27

    IPC分类号: G06K9/68

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating an image similarity model. In one aspect, a method includes obtaining feature vectors for images in a set of images, and determining first similarity measures for unlabeled images relative to a reference image. The first similarity measures are independent of first similarity feedback between the unlabeled images and the reference image. The unlabeled images are ranked based on the first similarity measures, and a weighted feature vector is generated based, in part, on the ranking. Second similarity measures are determined, independent of second similarity feedback, for labeled images and a second reference image. The labeled images are ranked based on the second similarity measures. The weighted feature vector is adjusted based, in part, on a comparison of the ranking to a second ranking of the labeled images that is based on the second similarity feedback.

    摘要翻译: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于创建图像相似性模型。 一方面,一种方法包括获得一组图像中的图像的特征向量,以及确定相对于参考图像的未标记图像的第一相似性度量。 第一相似性度量与未标记图像和参考图像之间的第一相似性反馈无关。 基于第一相似性度量对未标记的图像进行排序,并且部分地基于排名生成加权特征向量。 对于标记图像和第二参考图像,确定与第二相似性反馈无关的第二相似性度量。 基于第二相似性度量对标记图像进行排序。 部分地基于基于第二相似性反馈的标记图像的排名与第二排名的比较来调整加权特征向量。

    Web mining to build a landmark database and applications thereof
    7.
    发明授权
    Web mining to build a landmark database and applications thereof 有权
    Web挖掘构建一个地标数据库及其应用

    公开(公告)号:US08788504B1

    公开(公告)日:2014-07-22

    申请号:US12269445

    申请日:2008-11-12

    IPC分类号: G06F7/00 G06F17/30 G06F17/00

    摘要: This invention relates to building a landmark database from web data. In one embodiment, a computer-implemented method builds a landmark database. Web data including a web page is received from one or more websites via one or more networks. The web data is interpreted using at least one processor to determine landmark data describing a landmark. At least a portion of the landmark data identifies a landmark. Finally, a visual model is generated using the landmark data. A computing device is able to recognize the landmark in an image based on the visual model.

    摘要翻译: 本发明涉及从网络数据建立地标数据库。 在一个实施例中,计算机实现的方法构建地标数据库。 通过一个或多个网络从一个或多个网站接收包括网页的网页数据。 使用至少一个处理器来解释网络数据,以确定描述地标的地标数据。 地标数据的至少一部分标识了一个里程碑。 最后,使用地标数据生成视觉模型。 计算设备能够基于视觉模型识别图像中的地标。

    Graph-based fusion for video classification
    8.
    发明授权
    Graph-based fusion for video classification 有权
    用于视频分类的基于图形的融合

    公开(公告)号:US08533134B1

    公开(公告)日:2013-09-10

    申请号:US12938309

    申请日:2010-11-02

    IPC分类号: G06F15/18

    CPC分类号: G06F17/30705 G06N99/005

    摘要: A classifier training system trains unified classifiers for categorizing videos representing different categories of a category graph. The unified classifiers unify the outputs of a number of separate initial classifiers trained from disparate subsets of a training set of media items. The training process takes into account the relationships that exist between the various categories of the category graph by relating scores associated with related categories, thus enhancing the accuracy of the unified classifiers.

    摘要翻译: 分类器训练系统训练统一的分类器,用于对表示类别图表的不同类别的视频进行分类。 统一的分类器统一了由训练集合的媒体项目的不同子集训练的多个单独的初始分类器的输出。 培训过程通过将相关分数相关联的分数考虑到类别图的各种类别之间存在的关系,从而提高统一分类器的准确性。

    Training of adapted classifiers for video categorization
    9.
    发明授权
    Training of adapted classifiers for video categorization 有权
    适应分类器的视频分类培训

    公开(公告)号:US08452778B1

    公开(公告)日:2013-05-28

    申请号:US12874015

    申请日:2010-09-01

    IPC分类号: G06F17/30 G10L19/12

    摘要: A classifier training system trains adapted classifiers for classifying videos based at least in part on scores produced by application of text-based classifiers to textual metadata of the videos. Each classifier corresponds to a particular category, and when applied to a given video indicates whether the video represents the corresponding category. The classifier training system applies the text-based classifiers to textual metadata of the videos to obtain the scores, and also extracts features from content of the videos, combining the scores and the content features for a video into a set of hybrid features. The adapted classifiers are then trained on the hybrid features. The adaption of the text-based classifiers from the textual domain to the video domain allows the training of accurate video classifiers (the adapted classifiers) without requiring a large training set of authoritatively labeled videos.

    摘要翻译: 分类器训练系统训练适用的分类器,用于至少部分地基于将基于文本的分类器应用于视频的文本元数据而产生的分数来分类视频。 每个分类器对应于特定类别,并且当应用于给定视频时指示视频是否表示相应类别。 分类器训练系统将基于文本的分类器应用于视频的文本元数据以获得分数,并且还从视频内容中提取特征,将视频的分数和内容特征组合成一组混合特征。 然后对适应的分类器对混合特征进行训练。 基于文本的分类器从文本域到视频域的适应允许训练准确的视频分类器(适应的分类器),而不需要大量的授权标签视频的训练集。

    TRANSFORMATION APPARATUS AND METHOD
    10.
    发明申请
    TRANSFORMATION APPARATUS AND METHOD 有权
    转换装置和方法

    公开(公告)号:US20130022141A1

    公开(公告)日:2013-01-24

    申请号:US13639580

    申请日:2010-04-07

    IPC分类号: H04L27/28

    摘要: The present invention provides a transformation apparatus for transforming a long-term wideband channel property feedback. The transformation apparatus comprises: a first transformation unit for constructing an estimation Restimation of a long-term wideband transmit spatial correlation matrix with a long-term wideband beamforming matrix u1 as fed back from a receiver, wherein Restimation=u1u1H, wherein H indicates the conjugate transposition of a matrix; and/or a second transformation unit for directly obtaining a long-term wideband beamforming matrix or a precoding matrix by using a long-term wideband transmit spatial correlation matrix as fed back from a receiver. According to the technical solution of the present invention, a corresponding transformation method and apparatus is also provided.

    摘要翻译: 本发明提供一种用于变换长期宽带频道特性反馈的变换装置。 该变换装置包括:第一变换单元,用于构建估计值从接收器反馈的长期宽带发射空间相关矩阵与长期宽带波束成形矩阵u1的重新构成,其中Restimation = u1u1H,其中H表示共轭 矩阵的转置; 和/或第二变换单元,用于通过使用从接收器反馈的长期宽带发射空间相关矩阵直接获得长期宽带波束形成矩阵或预编码矩阵。 根据本发明的技术方案,还提供了相应的变换方法和装置。