Methods and Systems for Applications for Z-numbers
    11.
    发明申请
    Methods and Systems for Applications for Z-numbers 有权
    Z数字应用方法与系统

    公开(公告)号:US20140201126A1

    公开(公告)日:2014-07-17

    申请号:US14218923

    申请日:2014-03-18

    CPC classification number: G06N7/005 G06K9/627

    Abstract: Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), Big Data analytics, machine learning, training schemes, crowd-sourcing (experts), feature space, clustering, classification, SVM, similarity measures, modified Boltzmann Machines, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability, Z-number, Z-Web, Z-factor, rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, data compression, event-centric social network, Image Ad Network.

    Abstract translation: 规范涵盖了用于人工智能,软计算和深度学习/识别的新算法,方法和系统,例如图像识别(例如,用于动作,手势,情感,表达,生物识别,指纹,面部,OCR(文本),背景 ,关系,位置,模式和对象),大数据分析,机器学习,培训计划,采购(专家),特征空间,聚类,分类,SVM,相似性度量,改进的玻尔兹曼机器,优化,搜索引擎,排名 语言处理(NLP),计算语言(CWW),解析,机器翻译,声音和语音识别,视频搜索,语音识别,语音识别,语音识别 分析(例如跟踪),图像注释,几何抽象,图像校正,语义网,上下文分析,数据可靠性,Z编号,Z-Web,Z因子,规则引擎,控制系统,自主车辆 诊断和自我修复机器人,系统诊断,医疗诊断,生物医学,数据挖掘,事件预测,财务预测,经济学,风险评估,电子邮件管理,数据库管理,索引和加入操作,内存管理,数据压缩, 图像广告网络。

    Rights expression profile system and method using templates
    14.
    发明授权
    Rights expression profile system and method using templates 有权
    权限表达配置文件系统和使用模板的方法

    公开(公告)号:US08108313B2

    公开(公告)日:2012-01-31

    申请号:US10388162

    申请日:2003-03-14

    Abstract: A system and method for creating a rights expression for association with an item for use in a system for controlling use of the item in accordance with the rights expression, including specifying rights expression information indicating a manner of use of an item, the rights expression information including at least one element, the element having a variable and corresponding value for the variable; and performing an encoding process, including determining an identifier associated with a template corresponding to the rights expression information, extracting from the rights expression information the value for the variable corresponding to the element, and encoding a license adapted to be enforced on a device based on the variable and the identifier, the license including an identification of the template and the value for the variable.

    Abstract translation: 一种用于创建与用于系统中的项目相关联的权利表达的系统和方法,所述系统用于根据所述权利表达来控制所述项目的使用,包括指定表示项目使用方式的权利表达信息,所述权利表达信息 包括至少一个元素,该元素具有变量和相应的变量值; 以及执行编码处理,包括确定与所述权利表达信息相对应的模板相关联的标识符,从所述权利表达信息中提取与所述元素相对应的变量的值,以及基于在所述装置上基于 变量和标识符,许可证包括模板的标识和变量的值。

    Method and apparatus for transferring usage rights and digital work having transferable usage rights
    16.
    发明申请
    Method and apparatus for transferring usage rights and digital work having transferable usage rights 审中-公开
    用于转移使用权的方法和装置以及具有可转让使用权的数字作品

    公开(公告)号:US20070162398A1

    公开(公告)日:2007-07-12

    申请号:US11711735

    申请日:2007-02-28

    Abstract: A method, system and computer program product for transferring a digital work, including receiving by a first device a first digital work including digital content which is associated with usage rights and transfer permission information; sending to a server a request to transfer the digital content to a second device, the request indicating an identification of the second device; receiving from the server permission to transfer the digital content, the permission being generated based on the identification indicated by the request and the permission indicating new usage rights associated with the digital content; and transferring the digital content associated with the new usage rights to the second device.

    Abstract translation: 一种用于传送数字作品的方法,系统和计算机程序产品,包括由第一设备接收包括与使用权限和传送许可信息相关联的数字内容的第一数字作品; 向所述服务器发送将所述数字内容传送到第二设备的请求,所述请求指示所述第二设备的标识; 从服务器接收许可传送数字内容,基于由请求指示的标识生成的许可和指示与数字内容相关联的新的使用权限的许可; 以及将与新的使用权限相关联的数字内容传送到第二设备。

    Method and apparatus for transferring usage rights and digital work having transferrable usage rights
    17.
    发明授权
    Method and apparatus for transferring usage rights and digital work having transferrable usage rights 有权
    用于转移使用权的方法和装置以及具有可转让使用权的数字作品

    公开(公告)号:US07222104B2

    公开(公告)日:2007-05-22

    申请号:US09867746

    申请日:2001-05-31

    Abstract: A method and apparatus for facilitating transfer of usage rights for digital content. The system comprises digital content, a usage rights module containing usage rights information associated with the content for a user, a transfer permission module containing transfer permission information for the content, a current user identification module containing identity information indicating the identity of the user, and means for manipulating the current user identification module to change the identity information. The content can be transferred form one user to another and the current user identification module can be manipulated to reflect the current user and to permit the current user to have usage rights in the document.

    Abstract translation: 一种促进数字内容的使用权利转移的方法和装置。 该系统包括数字内容,包含与用户的内容相关联的使用权信息的使用权模块,包含用于内容的传送许可信息的传送许可模块,包含指示用户身份的身份信息的当前用户识别模块,以及 用于操纵当前用户识别模块以改变身份信息的装置。 内容可以从一个用户转移到另一个用户,并且可以操纵当前用户识别模块以反映当前用户并允许当前用户在该文档中具有使用权限。

    Method for doping GaAs with high vapor pressure elements
    19.
    发明授权
    Method for doping GaAs with high vapor pressure elements 失效
    用高掺杂量的GaAs掺杂GaAs的方法

    公开(公告)号:US5183779A

    公开(公告)日:1993-02-02

    申请号:US695018

    申请日:1991-05-03

    Abstract: A method is disclosed for the incorporation of relatively high vapor pressure elements into good quality GaAs at extremely low T.sub.s using the migration enhanced epitaxy techinque. Zinc was doped in GaAs material grown at a low T.sub.s of 120.degree. C. Zinc may thus be used as a p-type dopant replacing more toxic Be. Similarly, other high vapor pressure elements can be incorporated much more efficiently into the material grown at low T.sub.s.

    Abstract translation: 公开了一种方法,用于使用迁移增强外延技术将相对高的蒸气压元素并入极低的Ts中的质量良好的GaAs。 锌在以120℃的低Ts生长的GaAs材料中掺杂。锌因此可以用作替代更多毒性Be的p型掺杂剂。 类似地,其他高蒸汽压力元件可以更有效地并入在低Ts下生长的材料中。

    Method and system for feature detection

    公开(公告)号:US09916538B2

    公开(公告)日:2018-03-13

    申请号:US14218923

    申请日:2014-03-18

    CPC classification number: G06N7/005 G06K9/627

    Abstract: Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), Big Data analytics, machine learning, training schemes, crowd-sourcing (experts), feature space, clustering, classification, SVM, similarity measures, modified Boltzmann Machines, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability, Z-number, Z-Web, Z-factor, rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, data compression, event-centric social network, Image Ad Network.

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