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91. 发明授权

US07818273B2 System and method for cortical simulation 有权
标题翻译：皮质模拟系统及方法
公开(公告)号：US07818273B2
公开(公告)日：2010-10-19
申请号：US11857212
申请日：2007-09-18
申请人： Rajagopal (Ananth) Ananthanarayanan , Dharmendra Shantilal Modha
发明人： Rajagopal (Ananth) Ananthanarayanan , Dharmendra Shantilal Modha
IPC分类号： G06E1/00
CPC分类号： G06N3/049
摘要： A cortical simulator optimizing the simulation scale and time through computationally efficient simulation of neurons in a clock-driven and synapses in an event-driven fashion, memory efficient representation of simulation state, and communication efficient message exchanges.
摘要翻译：皮质模拟器通过计算有效地模拟时钟驱动的神经元并以事件驱动的方式突击，模拟状态的存储器有效表示和通信有效的消息交换来优化模拟规模和时间。

92. 发明授权

US07809659B1 Method for presenting optimal internet keyword based search result sets using an environmental bitmap and environmental bitmap pyramid structure 有权
标题翻译：使用环境位图和环境位图金字塔结构呈现最佳互联网关键词搜索结果集的方法
公开(公告)号：US07809659B1
公开(公告)日：2010-10-05
申请号：US11584941
申请日：2006-10-23
申请人： Richard S. Paiz
发明人： Richard S. Paiz
IPC分类号： G06E1/00 , G06F15/18
CPC分类号： G06F17/30873
摘要： A method for simulating the entire superset of potential valid keyword regular expression requests constructed during an Internet browser search and converting the result sets into Environmental Bitmap data to enable efficient and accurate searching without requiring Browser Engine supercomputer cluster searching capabilities.
摘要翻译：一种用于模拟互联网浏览器搜索期间构建的潜在的有效关键字正则表达式请求的整个超集的方法，并将结果集转换为环境位图数据，以实现高效和准确的搜索，而不需要浏览器引擎超级计算机集群搜索功能。

93. 发明授权

US07805385B2 Prognosis modeling from literature and other sources 有权
标题翻译：文献和其他来源的预后建模
公开(公告)号：US07805385B2
公开(公告)日：2010-09-28
申请号：US11735736
申请日：2007-04-16
申请人： Harald Steck , Sriram Krishnan , R. Bharat Rao , Philippe Lambin , Cary Dehing-Oberije
发明人： Harald Steck , Sriram Krishnan , R. Bharat Rao , Philippe Lambin , Cary Dehing-Oberije
IPC分类号： G06E1/00 , G06F15/00 , G06G7/00 , G06N99/00
CPC分类号： G16H50/20 , G06F19/00 , G16H50/70
摘要： A predictor of medical treatment outcome is developed and applied. A prognosis model is developed from literature. The model is determined by reverse engineering the literature reported quantities. A relationship of a given variable to a treatment outcome is derived from the literature. A processor may then use individual patient values for one or more variables to predict outcome. The accuracy may be increased by including a data driven model in combination with the literature driven model.
摘要翻译：开发并应用了治疗结果的预测因子。从文献开发预后模型。该模型通过逆向工程文献报道的量来确定。给定变量与治疗结果的关系来源于文献。然后，处理器可以使用单个患者值用于一个或多个变量来预测结果。通过将数据驱动模型与文献驱动模型相结合，可以提高精度。

94. 发明授权

US07805309B2 Conversational user interface that mimics the organization of memories in a human brain 失效
标题翻译：对话用户界面，模仿人脑中记忆的组织
公开(公告)号：US07805309B2
公开(公告)日：2010-09-28
申请号：US11276150
申请日：2006-02-15
申请人： Carl Edward Carpenter
发明人： Carl Edward Carpenter
IPC分类号： G10L11/00 , G10L21/00 , G06E1/00
CPC分类号： G10L15/1822 , G06N99/005
摘要： A conversational user interface (CUI) is implemented in a computer by mimicking the organization and retrieval of linguistic memories of human conversation. To mimic the organization of linguistic memories in a human brain, the artificial memories are stored as sequences of patterns, are stored in invariant form, are organized hierarchically, and are recalled auto-associatively. To mimic the recall of linguistic memories in a human brain, the same algorithm performs the recall of the various memories. Each artificial memory is a pairing of the invariant representation and an associated responsive message. When a received utterance is determined to match the invariant representation of a memory, the memory is evoked and the associated responsive message is presented to the person.
摘要翻译：会话式用户界面（CUI）通过模拟人类对话语言记忆的组织和检索在计算机中实现。为了模仿人脑中语言记忆的组织，人造记忆被存储为模式序列，以不变形式存储，分层组织，并被自动调用。为了模仿人脑中语言记忆的回忆，相同的算法执行各种记忆的回忆。每个人造存储器是不变表示和相关联的响应消息的配对。当接收到的话语被确定为匹配存储器的不变表示时，引发存储器并将相关联的响应消息呈现给该人。

95. 发明授权

US07801837B2 Network analyzer 失效
标题翻译：网络分析仪
公开(公告)号：US07801837B2
公开(公告)日：2010-09-21
申请号：US12361059
申请日：2009-01-28
申请人： Yuan-Lung Chang , Yuan-Huei Chang
发明人： Yuan-Lung Chang , Yuan-Huei Chang
IPC分类号： G06F15/18 , G06E1/00 , G06E3/00 , G06G7/00
CPC分类号： G06N5/02
摘要： This invention relates to using artificial intelligence for analyzing real-life collected data from an operation system, modeling the collected data to identify characteristics of events, analyzing the models to conclude an optimal solution for maximizing the performance of the operation system.
摘要翻译：本发明涉及使用人工智能来分析来自操作系统的现实生活中收集的数据，对收集的数据进行建模以识别事件的特征，分析模型以得出最佳化操作系统的性能的最佳解决方案。

96. 发明授权

US07756800B2 Method for transforming data elements within a classification system based in part on input from a human annotator/expert 失效
公开(公告)号：US07756800B2
公开(公告)日：2010-07-13
申请号：US11638732
申请日：2006-12-14
申请人： Boris Chidlovskii
发明人： Boris Chidlovskii
IPC分类号： G06E1/00 , G06E3/00
CPC分类号： G06F17/30705 , G06N99/005
摘要： A method and system are provided for classifying data items such as a document based upon identification of element instances within the data item. A training set of classes is provided where each class is associated with one or more features indicative of accurate identification of an element instance within the data item. Upon the identification of the data item with the training set, a confidence factor is computed that the selected element instance is accurately identified. When a selected element instance has a low confidence factor, the associated features for the predicted class are changed by an annotator/expert so that the changed class definition of the new associated feature provides a higher confidence factor of accurate identification of element instances within the data item.

97. 发明授权

US07734554B2 Deploying a document classification system 失效
标题翻译：部署文件分类系统
公开(公告)号：US07734554B2
公开(公告)日：2010-06-08
申请号：US11260786
申请日：2005-10-27
申请人： Steven J. Simske , Margaret M. Sturgill , Daniel J. Dyer
发明人： Steven J. Simske , Margaret M. Sturgill , Daniel J. Dyer
IPC分类号： G06E1/00 , G06E3/00
CPC分类号： G06F17/30011
摘要： A system and method for deploying a document classification system include deploying a document classification system with a first classification engine configuration, and thereafter, automatically redeploying the document classification system with a second classification engine configuration in response to a cost function.
摘要翻译：用于部署文档分类系统的系统和方法包括部署具有第一分类引擎配置的文档分类系统，此后响应成本函数自动地重新部署具有第二分类引擎配置的文档分类系统。

98. 发明授权

US07711664B2 Predicting crack propagation in the shaft dovetail of a generator rotor 失效
标题翻译：预测发电机转子轴上的裂纹扩展
公开(公告)号：US07711664B2
公开(公告)日：2010-05-04
申请号：US11645674
申请日：2006-12-27
申请人： Kazuhiro Saito , Yomei Yoshioka , Koji Matsuyama , Hiromichi Ito , Ryoji Nagano , Hiroaki Koinuma
发明人： Kazuhiro Saito , Yomei Yoshioka , Koji Matsuyama , Hiromichi Ito , Ryoji Nagano , Hiroaki Koinuma
IPC分类号： G06E1/00 , G06E3/00
CPC分类号： F01D21/003 , F05D2260/80 , F05D2260/94 , G06Q10/04
摘要： An object of the present invention is to control crack propagation, either by predicting shaft dovetail crack propagation with high accuracy, or by determining operation conditions under which the crack does not extend. The crack propagation prediction system includes an operation processing unit, an interface unit, and a memory unit. The operation processing unit includes a stress calculation unit that calculates the mean stress generated in the shaft dovetail, a factor range calculation unit that calculates the stress intensity factor range for the crack in the shaft dovetail, and a crack propagation amount calculation unit that calculates an amount of the shaft dovetail crack propagation for an arbitrary time period, from the obtained mean stress and the stress intensity factor range, an operation pattern, an operation time, and data on the crack. The stress calculation unit includes as individual calculation units that calculate separately different types of mean stress, a contact surface pressure stress calculation unit, a thermal stress calculation unit, and a residual stress calculation unit, as well as a mean stress calculation unit that sums these mean stresses.
摘要翻译：本发明的目的在于，通过预测高精度的轴燕尾裂纹扩展，或通过确定裂纹不延伸的操作条件来控制裂纹扩展。裂纹扩展预测系统包括操作处理单元，接口单元和存储单元。操作处理单元包括：应力计算单元，其计算在轴燕尾中产生的平均应力;计算轴燕尾纹中的裂纹的应力强度因子范围的因子范围计算单元;以及裂纹扩展量计算单元，根据获得的平均应力和应力强度因子范围，操作模式，操作时间和裂纹数据，任意时间段的轴鸠尾裂纹扩展量。应力计算单元包括作为单独计算的不同类型的平均应力的各个计算单元，接触面压力应力计算单元，热应力计算单元和残余应力计算单元，以及平均应力计算单元，其将这些平均压力

99. 发明授权

US07702597B2 Crop yield prediction using piecewise linear regression with a break point and weather and agricultural parameters 有权
标题翻译：作物产量预测采用分段线性回归与断点和天气和农业参数
公开(公告)号：US07702597B2
公开(公告)日：2010-04-20
申请号：US11108674
申请日：2005-04-19
申请人： Ramesh P. Singh , Anup Krishna Prasad , Vinod Tare , Menas Kafatos
发明人： Ramesh P. Singh , Anup Krishna Prasad , Vinod Tare , Menas Kafatos
IPC分类号： G06F15/18 , G06E1/00 , G06G7/00
CPC分类号： G06Q10/04 , Y02A40/232
摘要： Crop yield may be assessed and predicted using a piecewise linear regression method with break point and various weather and agricultural parameters, such as NDVI, surface parameters (soil moisture and surface temperature) and rainfall data. These parameters may help aid in estimating and predicting crop conditions. The overall crop production environment can include inherent sources of heterogeneity and their nonlinear behavior. A non-linear multivariate optimization method may be used to derive an empirical crop yield prediction equation. Quasi-Newton method may be used in optimization for minimizing inconsistencies and errors in yield prediction. Minimization of least square loss function through iterative convergence of pre-defined empirical equation can be based on piecewise linear regression method with break point. This non-linear method can achieve acceptable lower residual values with predicted values very close to the observed values. The present invention can be modified and tailored for different crops worldwide.
摘要翻译：可以使用具有断点和各种天气和农业参数（如NDVI，表面参数（土壤水分和表面温度））和降雨数据的分段线性回归方法来评估和预测作物产量。这些参数可能有助于估计和预测作物条件。整个作物生产环境可能包括固有的异质性来源及其非线性行为。可以使用非线性多变量优化方法来导出经验作物产量预测方程。准牛顿法可用于优化，以最小化产量预测中的不一致性和错误。通过预定义经验方程的迭代收敛最小二乘法函数的最小化可以基于具有断点的分段线性回归方法。这种非线性方法可以实现可接受的较低残差值，预测值非常接近观测值。本发明可以针对全世界的不同作物进行修改和定制。

100. 发明授权

US07698239B2 Self-evolving distributed system performance using a system health index 有权
标题翻译：使用系统健康指数进行自我演进的分布式系统性能
公开(公告)号：US07698239B2
公开(公告)日：2010-04-13
申请号：US11413538
申请日：2006-04-28
申请人： Brian R. Lieuallen , Geogy A. Samuel , Noah Norton , Sandeep Kishan Singhal , Todd R. Manion
发明人： Brian R. Lieuallen , Geogy A. Samuel , Noah Norton , Sandeep Kishan Singhal , Todd R. Manion
IPC分类号： G06F15/18 , G06E1/00 , G06E3/00
CPC分类号： H04L43/50 , H04L41/145 , H04L41/5003 , H04L43/0817 , H04L63/0272
摘要： In a distributed computing system, an artificial intelligence system may be employed to configure the network variables. A metric describing the overall system performance may be derived during network operation or simulation and compared to an ideal metric describing the same distributed system performance. The difference between the derived metric and the ideal metric may then be used with an artificial intelligence system to modify the network variables to evolve the system toward the ideal performance standard.
摘要翻译：在分布式计算系统中，可以采用人工智能系统来配置网络变量。描述整个系统性能的度量可以在网络操作或仿真期间得出，并与描述相同分布式系统性能的理想度量进行比较。然后可以将衍生度量和理想量度之间的差异与人造智能系统一起使用以修改网络变量，以将系统演变为理想的性能标准。

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