中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

59 records (took 0.059 seconds)

    Method and system for feature detection
    11.
    发明授权
    Method and system for feature detection 有权

    公开(公告)号：US09916538B2

    公开(公告)日：2018-03-13

    申请号：US14218923

    申请日：2014-03-18

    Applicant: Lotfi A. Zadeh ,  Saied Tadayon ,  Bijan Tadayon

    Inventor： Lotfi A. Zadeh ,  Saied Tadayon ,  Bijan Tadayon

    IPC: G06N7/00 ,  G06K9/62

    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.

    Method and system for water extraction using sub-merged plate
    12.
    发明授权
    Method and system for water extraction using sub-merged plate 有权
    使用分合板进行抽水的方法和系统

    公开(公告)号：US09114355B1

    公开(公告)日：2015-08-25

    申请号：US14251587

    申请日：2014-04-12

    Applicant: Cyrus Sobhani ,  Saied Tadayon ,  Bijan Tadayon

    Inventor： Cyrus Sobhani ,  Saied Tadayon ,  Bijan Tadayon

    IPC: B01D53/00 ,  B01D53/26

    CPC classification number: B01D53/265 ,  E03B3/28

    Abstract: In one example, we describe reliable, flexible, low-maintenance, low-overhead, low-cost installation, practical, and easy-to-install structures and components or techniques (methods and systems) for water capture from high humidity sources, e.g., sea or river, for use or consumption by humans, animals, or plants/agriculture/food production. In one example, it is modularized. Thus, it is easier for transportation and maintenance, with less cost and down-time. For example, it can be used in some regions in the Middle East or Africa, with dry land with no or small amount of rain. In one example, we describe the use of renewable energy sources. In one example, we describe the control system for operation of water collection and distribution systems, e.g., for optimization and efficiency or cost. We also describe the mechanisms, techniques, components, and systems to implement various tasks and goals related to these.

    Abstract translation: 在一个例子中，我们描述了可靠，灵活，低维护，低开销，低成本的安装，实用和易于安装的结构和组件或技术（方法和系统），用于从高湿度源捕获水，例如 海，河，供人，动物或植物/农业/食品生产使用或消费。 在一个示例中，它是模块化的。 因此，运输和维护更容易，成本更低，停机时间更短。 例如，它可以在中东或非洲的一些地区使用，旱地没有或少量的下雨。 在一个例子中，我们描述了可再生能源的使用。 在一个例子中，我们描述了用于收集和分配系统的操作的控制系统，例如用于优化和效率或成本。 我们还描述了实现与此相关的各种任务和目标的机制，技术，组件和系统。

    Application of Z-webs and Z-factors to analytics, search engine, learning, recognition, natural language, and other utilities
    13.
    发明授权
    Application of Z-webs and Z-factors to analytics, search engine, learning, recognition, natural language, and other utilities 有权
    Z-web和Z因子在分析，搜索引擎，学习，识别，自然语言和其他实用程序中的应用

    公开(公告)号：US08873813B2

    公开(公告)日：2014-10-28

    申请号：US13781303

    申请日：2013-02-28

    Applicant: Saied Tadayon ,  Bijan Tadayon

    Inventor： Saied Tadayon ,  Bijan Tadayon

    IPC: G06K9/00 ,  G06K9/40

    CPC classification number: G06K9/00288 ,  G06K9/00 ,  G06K9/62

    Abstract: Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

    Abstract translation: 在这里，我们介绍Z-web，包括Z因子和Z节点，以了解对象，主题，抽象思想，概念等之间的关系，包括面部，汽车，图像，人，情绪，心情，文字 ，自然语言，语音，音乐，视频，地点，公式，事实，历史数据，地标，人格，所有权，家庭，朋友，爱情，幸福，社会行为，投票行为等，被用于许多应用 我们的生活，包括搜索引擎，分析，大数据处理，自然语言处理，经济预测，面部识别，处理可靠性和确定性，医疗诊断，模式识别，对象识别，生物识别，安全分析，风险分析，欺诈检测 ，卫星图像分析，机器生成数据分析，机器学习，训练样本，提取数据或模式（从视频，图像等），编辑视频或图像等。 Z因子包括与Z网中的每个Z-节点相关联的可靠性因子，置信因子，专业知识因素，偏差因子等。

    Application of Z-Webs and Z-factors to Analytics, Search Engine, Learning, Recognition, Natural Language, and Other Utilities
    14.
    发明申请
    Application of Z-Webs and Z-factors to Analytics, Search Engine, Learning, Recognition, Natural Language, and Other Utilities 有权
    Z-Web和Z因子在分析，搜索引擎，学习，识别，自然语言和其他实用程序中的应用

    公开(公告)号：US20140079297A1

    公开(公告)日：2014-03-20

    申请号：US13781303

    申请日：2013-02-28

    Applicant: Saied Tadayon ,  Bijan Tadayon

    Inventor： Saied Tadayon ,  Bijan Tadayon

    IPC: G06K9/00

    CPC classification number: G06K9/00288 ,  G06K9/00 ,  G06K9/62

    Abstract: Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

    Abstract translation: 在这里，我们介绍Z-web，包括Z因子和Z节点，以了解对象，主题，抽象思想，概念等之间的关系，包括面部，汽车，图像，人，情绪，心情，文字 ，自然语言，语音，音乐，视频，地点，公式，事实，历史数据，地标，人格，所有权，家庭，朋友，爱情，幸福，社会行为，投票行为等，被用于许多应用 我们的生活，包括搜索引擎，分析，大数据处理，自然语言处理，经济预测，面部识别，处理可靠性和确定性，医疗诊断，模式识别，对象识别，生物识别，安全分析，风险分析，欺诈检测 ，卫星图像分析，机器生成数据分析，机器学习，训练样本，提取数据或模式（从视频，图像等），编辑视频或图像等。 Z因子包括与Z网中的每个Z-节点相关联的可靠性因子，置信因子，专业知识因素，偏差因子等。

    Method and System for Automatic Scoring of the Intellectual Properties
    15.
    发明申请
    Method and System for Automatic Scoring of the Intellectual Properties 失效
    自动评分知识产权的方法和系统

    公开(公告)号：US20120310847A1

    公开(公告)日：2012-12-06

    申请号：US13590301

    申请日：2012-08-21

    Applicant: Saied Tadayon ,  Bijan Tadayon ,  Mahin Tehrani

    Inventor： Saied Tadayon ,  Bijan Tadayon ,  Mahin Tehrani

    IPC: G06Q50/26

    CPC classification number: G06Q50/184 ,  G06Q30/0201 ,  G06Q40/12

    Abstract: Novel methods of IP or patent management and monetization based on IP/patent pooling and scoring systems are disclosed. In addition, novel partnership methods with IP producing entities (such as universities) are disclosed which produce incentives and efficiencies far and above other methods. Systems and methods are disclosed for valuation of IP instruments and distribution of IP revenue/proceeds. Examples of methods for scoring IP instruments, using a transactional and event driven point/value system, are disclosed for tracking, monitoring, distribution and allocation of proceeds in a complex pooling arrangement of IP instruments.

    Abstract translation: 披露了基于IP /专利池和评分系统的知识产权或专利管理和货币化的新方法。 此外，公开了与知识产权实体（如大学）的新型伙伴关系方法，其产生的激励和效率远远超过其他方法。 公开了系统和方法，用于评估知识产权文书和分配知识产权收益/收益。 公开了利用交易和事件驱动的点/价值系统对IP工具进行评分的方法，用于跟踪，监测，分配和分配IP报文的复杂集合安排中的收益。

    Method and system for automatic scoring of the intellectual properties
    16.
    发明授权
    Method and system for automatic scoring of the intellectual properties 失效

    公开(公告)号：US08150777B1

    公开(公告)日：2012-04-03

    申请号：US13115114

    申请日：2011-05-25

    Applicant: Saied Tadayon ,  Bijan Tadayon ,  Mahin Tehrani

    Inventor： Saied Tadayon ,  Bijan Tadayon ,  Mahin Tehrani

    IPC: G06Q50/00

    CPC classification number: G06Q50/184 ,  G06Q30/0201 ,  G06Q40/12

    Abstract: Novel methods of IP or patent management and monetization based on IP/patent pooling and scoring systems are disclosed. In addition, novel partnership methods with IP producing entities (such as universities) are disclosed which produce incentives and efficiencies far and above other methods. Systems and methods are disclosed for valuation of IP instruments and distribution of IP revenue/proceeds. Examples of methods for scoring IP instruments, using a transactional and event driven point/value system, are disclosed for tracking, monitoring, distribution and allocation of proceeds in a complex pooling arrangement of IP instruments.

Patent Agency Ranking