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1. 发明授权

US08811596B2 Apparatus including associative memory for evaluating audio communications 有权
标题翻译：包括用于评估音频通信的关联存储器的装置
公开(公告)号：US08811596B2
公开(公告)日：2014-08-19
申请号：US11767840
申请日：2007-06-25
申请人： William G. Arnold , Leonard J. Quadracci
发明人： William G. Arnold , Leonard J. Quadracci
IPC分类号： G06F17/00 , G06F17/30 , G10L15/08 , G10L15/26
CPC分类号： G10L15/265 , G06F17/30746 , G10L15/26
摘要： An apparatus for evaluating an audio communication comprises a data store for storing a plurality of digital units representing a plurality of characterized aspects of historical audio communications. The characterized aspects include words and sets of words. The apparatus further comprises an associative memory unit coupled with the data store to create associations between entities representing the characterized aspects, and relate the entities and the frequency of occurrence of the entities to identify relationships with call handling categories and priorities requiring intervention, and an assessing unit coupled with the associative memory unit to indicate whether the audio communication contains any associative memory associations related to a call handling category and call handling priority requiring intervention.
摘要翻译：用于评估音频通信的装置包括用于存储表示历史音频通信的多个特征方面的多个数字单元的数据存储器。特征方面包括单词和单词组。该装置还包括与数据存储器耦合的关联存储器单元，以在表示特征化方面的实体之间创建关联，并且将实体和实体的发生频率相关联以识别与呼叫处理类别和需要干预的优先级的关系，以及评估与所述关联存储器单元耦合以指示音频通信是否包含与呼叫处理类别相关联的任何关联存储器关联以及需要干预的呼叫处理优先级。

2. 发明申请

US20100257006A1 ASSOCIATE MEMORY LEARNING FOR ANALYZING FINANCIAL TRANSACTIONS 有权
标题翻译：分析财务交易的相关记忆学习
公开(公告)号：US20100257006A1
公开(公告)日：2010-10-07
申请号：US12419664
申请日：2009-04-07
申请人： Leonard J. Quadracci , Patrick N. Harris , William G. Arnold
发明人： Leonard J. Quadracci , Patrick N. Harris , William G. Arnold
IPC分类号： G06Q10/00 , G06F17/30 , G06N5/02 , G06F15/18
CPC分类号： G06Q40/00 , G06N3/0445 , G06Q30/02 , G06Q30/0204
摘要： A method for analyzing transaction information that involves storing each one of a plurality of transactions in an associative memory with an associated cluster identification number. A given one of the transactions is selected for analysis, the given one of the transactions having a specific cluster identification number. An entity analytics engine is used to search and obtain a first subplurality of transactions from the associative memory that are similar to the given transaction by having a common attribute or entity and assigning each of the transactions a similarity score. Each one of the transactions is further analyzed to determine if it would be beneficial to form a formal transaction relationship with an organization involved with at least one of the transactions of the cluster.
摘要翻译：一种用于分析交易信息的方法，所述交易信息涉及将相关联的集群标识号中的多个交易中的每一个事务存储在关联存储器中。选择给定的一个事务进行分析，给定的一个事务具有特定的集群标识号。实体分析引擎用于通过具有公共属性或实体并且将每个事务分配相似性分数来搜索并从联想存储器获得类似于给定事务的第一子事务。进一步分析每个交易，以确定与涉及集群的至少一个事务的组织形成正式交易关系是否有益。

3. 发明授权

US08838490B2 Associate memory learning for analyzing financial transactions 有权
标题翻译：关联记忆学习分析金融交易
公开(公告)号：US08838490B2
公开(公告)日：2014-09-16
申请号：US12419664
申请日：2009-04-07
申请人： Leonard J. Quadracci , Patrick N. Harris , William G. Arnold
发明人： Leonard J. Quadracci , Patrick N. Harris , William G. Arnold
IPC分类号： G06Q40/00 , G06F17/00 , G06Q30/02
CPC分类号： G06Q40/00 , G06N3/0445 , G06Q30/02 , G06Q30/0204
摘要： A method for analyzing transaction information that involves storing each one of a plurality of transactions in an associative memory with an associated cluster identification number. A given one of the transactions is selected for analysis, the given one of the transactions having a specific cluster identification number. An entity analytics engine is used to search and obtain a first subplurality of transactions from the associative memory that are similar to the given transaction by having a common attribute or entity and assigning each of the transactions a similarity score. Each one of the transactions is further analyzed to determine if it would be beneficial to form a formal transaction relationship with an organization involved with at least one of the transactions of the cluster.
摘要翻译：一种用于分析交易信息的方法，所述交易信息涉及将相关联的集群标识号中的多个交易中的每一个事务存储在关联存储器中。选择给定的一个事务进行分析，给定的一个事务具有特定的集群标识号。实体分析引擎用于通过具有公共属性或实体并且将每个事务分配相似性分数来搜索并从联想存储器获得类似于给定事务的第一子事务。进一步分析每个交易，以确定与涉及集群的至少一个事务的组织形成正式交易关系是否有益。

4. 发明授权

US07983996B2 Method and apparatus for human behavior modeling in adaptive training 有权
标题翻译：适应性训练中人类行为模型的方法和装置
公开(公告)号：US07983996B2
公开(公告)日：2011-07-19
申请号：US11961323
申请日：2007-12-20
申请人： Jeffrey E. Hanneman , William G. Arnold , Leonard J. Quadracci
发明人： Jeffrey E. Hanneman , William G. Arnold , Leonard J. Quadracci
IPC分类号： G06F17/00 , G06F17/20
CPC分类号： G06N3/004
摘要： A computer implemented method, apparatus, and computer usable program code for simulating human behavior. Source code for predicting human behavior is located on a storage system in a network data processing system. An interpreter executing on hardware in the network data processing system includes a language interpreter and a communications module. The language interpreter executes a simulation with the source code using artificial intelligence to generate a new definition and interpreted source code. A graphical user interface processor receives the interpreted source code from the language interpreter and generates device dependent output. Devices display the device dependent output, receive user input, and send received user input to the graphical user interface processor. The communications module receives user input from the graphical user interface processor and the new definition from the language interpreter and modifies the source code to form modified source code, executed by the language interpreter.
摘要翻译：计算机实现的方法，装置和用于模拟人类行为的计算机可用程序代码。用于预测人类行为的源代码位于网络数据处理系统中的存储系统上。在网络数据处理系统中在硬件上执行的解释器包括语言解释器和通信模块。语言解释器使用人工智能使用源代码执行仿真，以生成新的定义和解释源代码。图形用户界面处理器从语言解释器接收解释的源代码并产生依赖于设备的输出。设备显示设备相关输出，接收用户输入，并将接收到的用户输入发送到图形用户界面处理器。通信模块从图形用户界面处理器接收用户输入，并从语言解释器接收新定义，并修改源代码以形成由语言解释器执行的修改的源代码。

5. 发明申请

US20080320042A1 APPARATUS AND METHOD FOR EVALUATING AUDIO COMMUNICATIONS 有权
标题翻译：评估音频通信的装置和方法
公开(公告)号：US20080320042A1
公开(公告)日：2008-12-25
申请号：US11767840
申请日：2007-06-25
申请人： William G. Arnold , Leonard J. Quadracci
发明人： William G. Arnold , Leonard J. Quadracci
IPC分类号： G06F17/00
CPC分类号： G10L15/265 , G06F17/30746 , G10L15/26
摘要： An apparatus for evaluating audio communications includes: (a) a data storage device configured for identifying associative memory relations among information aspects stored in the data storage device, (b) a query device coupled with the data storage device, the query device being configured for posing queries relating to at least one of the information aspects and the associative memory relations to obtain at least one query result, and (c) a communications parsing unit coupled with at least one of the data storage device and the query device. The communications parsing unit is configured to receive the audio communications and is configured to effect identification of features related with the audio communications. The features related with the audio communications are available for inclusion among the information aspects. The data storage device periodically effects evaluation of the associative memory relations.
摘要翻译：一种用于评估音频通信的装置包括：（a）数据存储装置，被配置为识别存储在数据存储装置中的信息方面之间的关联存储器关系，（b）与数据存储装置耦合的查询装置，该查询装置被配置为涉及至少一个信息方面和关联存储器关系的查询以获得至少一个查询结果，以及（c）与所述数据存储设备和所述查询设备中的至少一个耦合的通信解析单元。通信解析单元被配置为接收音频通信，并且被配置为实现与音频通信相关的特征的识别。与音频通信相关的功能可用于包含在信息方面。数据存储设备周期性地影响关联记忆关系的评估。

6. 发明申请

US20080215508A1 METHOD AND APPARATUS FOR HUMAN BEHAVIOR MODELING IN ADAPTIVE TRAINING 有权
标题翻译：自适应训练中人体行为建模的方法与装置
公开(公告)号：US20080215508A1
公开(公告)日：2008-09-04
申请号：US11961323
申请日：2007-12-20
申请人： Jeffrey E. Hanneman , William G. Arnold , Leonard J. Quadracci
发明人： Jeffrey E. Hanneman , William G. Arnold , Leonard J. Quadracci
IPC分类号： G06F15/18 , G06F17/00 , G06N5/02
CPC分类号： G06N3/004
摘要： A computer implemented method, apparatus, and computer usable program code for simulating human behavior. Source code for predicting human behavior is located on a storage system in a network data processing system. An interpreter executing on hardware in the network data processing system includes a language interpreter and a communications module. The language interpreter executes a simulation with the source code using artificial intelligence to generate a new definition and interpreted source code. A graphical user interface processor receives the interpreted source code from the language interpreter and generates device dependent output. Devices display the device dependent output, receive user input, and send received user input to the graphical user interface processor. The communications module receives user input from the graphical user interface processor and the new definition from the language interpreter and modifies the source code to form modified source code, executed by the language interpreter.
摘要翻译：计算机实现的方法，装置和用于模拟人类行为的计算机可用程序代码。用于预测人类行为的源代码位于网络数据处理系统中的存储系统上。在网络数据处理系统中在硬件上执行的解释器包括语言解释器和通信模块。语言解释器使用人工智能使用源代码执行仿真，以生成新的定义和解释源代码。图形用户界面处理器从语言解释器接收解释的源代码并产生依赖于设备的输出。设备显示设备相关输出，接收用户输入，并将接收到的用户输入发送到图形用户界面处理器。通信模块从图形用户界面处理器接收用户输入，并从语言解释器接收新定义，并修改源代码以形成由语言解释器执行的修改的源代码。

7. 发明授权

US10410146B2 Associative memory learning agent for analysis of manufacturing non-conformance applications 有权
公开(公告)号：US10410146B2
公开(公告)日：2019-09-10
申请号：US12368047
申请日：2009-02-09
申请人： Leonard J. Quadracci , Brian Warn
发明人： Leonard J. Quadracci , Brian Warn
IPC分类号： G06Q10/06 , G06N5/00 , G06N5/02
摘要： A system for assisting a user in determining a cause of a manufacturing non-conformance situation in a manufacturing application. The system may include an associative memory subsystem that is populated with a plurality of entity types, with each entity type including at least one entity, to form an associative memory. A user input device enables a user to input manufacturing non-conformance information into the associative memory subsystem that causes the associative memory subsystem to perform an initial search. The initial search generates a plurality of the entities that has a primary relevance useful for investigating the manufacturing non-conformance situation. An output device is responsive to the associative memory subsystem presents the plurality of entities found during the initial search to the user.

8. 发明申请

US20100205192A1 EMPLOYING ASSOCIATE MEMORY LEARNING AGENT FOR ENHANCED LIFECYCLE MANAGEMENT 有权
标题翻译：为加强生物科学管理提供相关记忆学习机构
公开(公告)号：US20100205192A1
公开(公告)日：2010-08-12
申请号：US12368015
申请日：2009-02-09
申请人： Leonard J. Quadracci , Brian Warn
发明人： Leonard J. Quadracci , Brian Warn
IPC分类号： G06F17/30
CPC分类号： G06F17/30598 , G06F17/30398 , G06F17/30522 , G06F17/3053 , G06F17/30539 , G06F17/30554
摘要： A non-conformance analysis system may have an associative memory subsystem populated with information involving a plurality of entities defining different attributes of a component, with each entity being categorized under a user defined entity type, the entities and entity types forming an associative memory. A user input device may be used for enabling a user to input a query concerning the component, and to obtain information useful for managing a lifecycle of said component. An associative memory entity analytics engine in communication with the associative memory subsystem, and responsive to said user input device, searches the associative memory using the information provided in the query to retrieve entities helpful to the user in assessing the lifecycle of the component.
摘要翻译：不符合分析系统可以具有填充有涉及定义组件的不同属性的多个实体的信息的关联存储器子系统，其中每个实体被分类为用户定义的实体类型，形成关联存储器的实体和实体类型。用户输入设备可以用于使得用户能够输入关于组件的查询，并且获得用于管理所述组件的生命周期的信息。与关联存储器子系统通信并响应于所述用户输入设备的关联存储器实体分析引擎使用在查询中提供的信息来搜索关联存储器，以检索在评估组件的生命周期时有助于用户的实体。

9. 发明授权

US06993288B2 Managing satellite fixed beam uplink using virtual channel assignments 有权
标题翻译：使用虚拟通道分配管理卫星固定波束上行链路
公开(公告)号：US06993288B2
公开(公告)日：2006-01-31
申请号：US10197146
申请日：2002-07-17
申请人： Michael de La Chapelle , David C. Morse , Leonard J. Quadracci
发明人： Michael de La Chapelle , David C. Morse , Leonard J. Quadracci
IPC分类号： H04B7/185
CPC分类号： H04B7/2041
摘要： A method of coordinating communications between ground stations and fixed beam satellites is provided, wherein each beam of a satellite antenna is assigned a color to create a color pattern that matches a frequency reuse pattern for the antenna, thereby using the same frequencies in a different beam with the same color. In operation, a ground station requests a virtual channel number from a resource manager, which sends a virtual channel number that is not used by another ground station within a beam diameter of the requesting ground station. The ground station then determines the position of the satellite, the beam and beam color, and further computes the frequency, polarization, and time slot, among other information, to communicate with the satellite. A method is also provided for managing virtual channels that comprises a network manager that groups ground stations and limits the number of virtual channels per group.
摘要翻译：提供了一种协调地面站和固定波束卫星之间的通信的方法，其中为卫星天线的每个波束分配颜色以产生与天线的频率复用模式匹配的颜色模式，从而在不同的波束中使用相同的频率颜色相同。在操作中，地面站从资源管理器请求虚拟信道号，该资源管理器发送在请求地面站的波束直径内的另一个地面站不使用的虚拟信道号。然后，地面站确定卫星的位置，波束和波束的颜色，并进一步计算频率，极化和时隙等信息与卫星通信。还提供了一种用于管理虚拟频道的方法，该虚拟频道包括分组地面站并限制每组的虚拟频道数量的网络管理器。

10. 发明授权

US09053159B2 Non-conformance analysis using an associative memory learning agent 有权
标题翻译：使用关联记忆学习代理的不一致性分析
公开(公告)号：US09053159B2
公开(公告)日：2015-06-09
申请号：US12368024
申请日：2009-02-09
申请人： Leonard J. Quadracci , Brian Warn
发明人： Leonard J. Quadracci , Brian Warn
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30539 , G06F17/30867
摘要： According to an embodiment, a non-conformance analysis system may include at least one information storage tool that stores previously generated non-conformance information; a data mining tool that retrieves specific attributes of the previously generated non-conformance information stored in the at least one information storage tool; an associative memory subsystem that is populated with information involving a plurality of entity types, with each entity type including at least one entity, to form an associative memory; and a user input device that enables a user to input a non-conformance query into the associative memory subsystem, that causes the associative memory subsystem to generate all of the entity types and entities that include information useful for investigating the non-conformance query.
摘要翻译：根据实施例，不一致性分析系统可以包括存储先前生成的不符合信息的至少一个信息存储工具; 数据挖掘工具，其检索存储在所述至少一个信息存储工具中的先前生成的不一致信息的特定属性; 关联存储器子系统，其填充有涉及多个实体类型的信息，每个实体类型包括至少一个实体，以形成关联存储器; 以及用户输入设备，其使用户能够将不一致性查询输入到关联存储器子系统中，这导致关联存储器子系统生成包括用于调查不符合查询的有用信息的所有实体类型和实体。

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