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    • 12. 发明申请
    • GENERATING A RECOMMENDATION TO ADD A MEMBER TO A RECEPTIVITY COHORT
    • 产生一个建议,以增加一个成员的接受程度
    • US20120150790A1
    • 2012-06-14
    • US13402586
    • 2012-02-22
    • ROBERT LEE ANGELLROBERT R. FRIEDLANDERJAMES R. KRAEMER
    • ROBERT LEE ANGELLROBERT R. FRIEDLANDERJAMES R. KRAEMER
    • G06N5/02
    • G06F17/30595G06F17/30864G06Q10/10
    • A processor-implemented method, system, and/or computer program product generate a recommendation to add a member to a receptivity cohort. A receptivity cohort is made up of members who share a conduct attribute, which is a facial expression, body language, and/or social interaction of a person. The conduct attribute has been predetermined to be an indicator of a level of receptiveness to a proposed future change in a set of circumstances. Biometric sensor data, which describe the facial expression, body language and/or social interaction for a candidate member, are retrieved from a set of biometric sensors. The retrieved biometric sensor data for the candidate member is compared to the conduct attribute of members of the receptivity cohort. In response to the biometric sensor data for the candidate member matching the conduct attribute of members of the receptivity cohort, a recommendation is generated to add the candidate member to the receptivity cohort.
    • 处理器实现的方法,系统和/或计算机程序产品产生将成员添加到接受性队列的建议。 接受性队列由共享行为属性的成员组成,这是一个人的面部表情,肢体语言和/或社交互动。 行为属性已被预先确定为在一组情况下对拟议的未来变化的接受程度的指标。 从一组生物特征传感器检索描述候选成员的面部表情,身体语言和/或社交交互的生物特征传感器数据。 将检索到的候选成员的生物特征传感器数据与接受队列的成员的行为属性进行比较。 响应于与接受队列的成员的行为属性匹配的候选成员的生物特征传感器数据,生成将候选成员添加到接受队列的推荐。
    • 13. 发明申请
    • COHORT-BASED PREDICTION OF A FUTURE EVENT
    • 基于COHORT的预测未来事件
    • US20120095948A1
    • 2012-04-19
    • US13275483
    • 2011-10-18
    • DANIEL J. BYRNEMARK W. BYRNEROBERT R. FRIEDLANDERRICHARD HENNESSYJAMES R. KRAEMER
    • DANIEL J. BYRNEMARK W. BYRNEROBERT R. FRIEDLANDERRICHARD HENNESSYJAMES R. KRAEMER
    • G06N5/02
    • G06N7/005
    • A processor-implemented method, computer program product, and/or computer system predicts a future event. A first bit array, which describes characteristics of a single entity while experiencing a first event, is generated using values received from a set of physical test devices. After the first single entity experiences a different second event, a second bit array is generated from another set of physical test devices. The second bit array describes characteristics of an event cohort, which is made up of entities, other than the single entity, which also experience the second event, but which never experienced the first event. When another single entity experiences the first event, a determination is made as to whether that other single entity has characteristics from both the first bit array and the second bit array. If so, a prediction is made that the other single entity will also experience the second event.
    • 处理器实现的方法,计算机程序产品和/或计算机系统预测将来的事件。 使用从一组物理测试设备接收的值来生成第一位阵列,其描述在遇到第一事件时单个实体的特征。 在第一单个实体经历不同的第二事件之后,从另一组物理测试设备生成第二位数组。 第二位阵列描述事件队列的特征,该事件队列由实体组成,而该实体除了单个实体之外,该实体也体验第二个事件,但是从未经历过第一个事件。 当另一单个实体经历第一事件时,确定该另一单个实体是否具有来自第一位阵列和第二位阵列的特性。 如果是这样,则预测其他单个实体也将体验第二个事件。
    • 16. 发明申请
    • GENERATION OF SYNTHETIC CONTEXT OBJECTS
    • 合成语境对象的产生
    • US20140074885A1
    • 2014-03-13
    • US13609710
    • 2012-09-11
    • SAMUEL S. ADAMSROBERT R. FRIEDLANDERJAMES R. KRAEMER
    • SAMUEL S. ADAMSROBERT R. FRIEDLANDERJAMES R. KRAEMER
    • G06F17/30
    • G06F17/30964
    • A processor-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. A non-contextual data object is associated with a context object to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with at least one specific data store, which includes data that is associated with data contained in the non-contextual data object and the context object. A request for a data store that is associated with the synthetic context-based object results in the return of at least one data store that is associated with the synthetic context-based object.
    • 处理器实现的方法,系统和/或计算机程序产品生成并利用合成的基于上下文的对象。 非上下文数据对象与上下文对象相关联以定义合成的基于上下文的对象,其中非上下文数据对象含义地涉及多个主题事件,并且其中上下文对象提供识别特定主题的对象的上下文, 从多个主题事件,非上下文数据对象的事情。 合成的基于上下文的对象然后与至少一个特定的数据存储相关联,该存储包括与非上下文数据对象和上下文对象中包含的数据相关联的数据。 与合成基于上下文的对象相关联的数据存储的请求导致返回与合成基于上下文的对象相关联的至少一个数据存储。
    • 17. 发明申请
    • CONTEXT-BASED GRAPH-RELATIONAL INTERSECT DERIVED DATABASE
    • 基于上下文的图形关联交互数据库
    • US20140059084A1
    • 2014-02-27
    • US13595356
    • 2012-08-27
    • SAMUEL S. ADAMSROBERT R. FRIEDLANDERJOHN K. GERKEN, IIIJAMES R. KRAEMER
    • SAMUEL S. ADAMSROBERT R. FRIEDLANDERJOHN K. GERKEN, IIIJAMES R. KRAEMER
    • G06F17/30
    • G06F17/30958
    • A context-based graph-relational intersect derived (CB-GRID) links a real entity graph node to a synthetic entity graph node. The real entity graph node comprises a pointer to a primary key in a first tuple that non-contextually describes the real entity. A primary relational database comprises the first tuple that non-contextually describes the real entity. A context relational database comprises a second tuple that contains a foreign key that matches the primary key in the primary relational database. The second tuple dynamically describes a context of data in the first tuple. A contextual entity relational database comprises a third tuple that contains data from the first tuple and the second tuple. The synthetic entity graph node describes a synthetic entity that is described by data in the third tuple, such that the contextual entity relational database links the real entity graph node to the synthetic entity graph node.
    • 基于上下文的图关系相交导出(CB-GRID)将真实实体图节点链接到合成实体图节点。 真实实体图形节点包括指向第一元组中的主键的指针,该第一元组非上下文地描述真实实体。 主关系数据库包括非上下文描述真实实体的第一元组。 上下文关系数据库包括第二元组,其包含与主关系数据库中的主键匹配的外键。 第二个元组动态地描述第一个元组中的数据的上下文。 上下文实体关系数据库包括包含来自第一元组和第二元组的数据的第三元组。 合成实体图节点描述由第三元组中的数据描述的合成实体,使得上下文实体关系数据库将真实实体图节点链接到合成实体图节点。
    • 20. 发明申请
    • MONITORING OPERATIONAL CONDITIONS OF A CARGO SHIP THROUGH USE OF SENSOR GRID ON INTERMODAL CONTAINERS
    • 通过使用传感器网络对货物集装箱运输货物的运行状况进行监测
    • US20130030725A1
    • 2013-01-31
    • US13192149
    • 2011-07-27
    • ROBERT R. FRIEDLANDERJAMES R. KRAEMER
    • ROBERT R. FRIEDLANDERJAMES R. KRAEMER
    • G06F19/00
    • G01M7/00B63B2017/0009G01H1/12G01N25/56G01N29/04G06K7/10366G08B29/04
    • A computer-implemented method, system, and/or computer program product monitors operational conditions of a cargo ship. A baseline composite vibration pattern is established from readings generated by multiple smart sensors. Each of the multiple smart sensors is a uniquely-identified smart sensor that has been affixed to one of multiple intermodal shipping containers that have been loaded onto a cargo ship, and each smart sensor includes a vibration sensor for detecting mechanical vibration. Subsequent readings are then taken from the multiple smart sensors to generate a new composite vibration pattern. In response to the new composite vibration pattern being different from the baseline composite vibration pattern, the new composite vibration pattern is matched with a known composite vibration pattern in order to identify a cause of the new composite vibration pattern.
    • 计算机实现的方法,系统和/或计算机程序产品监视货船的操作条件。 由多个智能传感器产生的读数建立基线复合振动模式。 多个智能传感器中的每一个是唯一识别的智能传感器,其被固定到已经装载到货船上的多个联运运输集装箱之一,并且每个智能传感器包括用于检测机械振动的振动传感器。 然后从多个智能传感器获取随后的读数,以产生新的复合振动模式。 响应于新的复合振动模式不同于基线复合振动模式,新的复合振动模式与已知的复合振动模式匹配,以便识别新的复合振动模式的原因。