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1. 发明授权

US08326783B2 Method and system for optimizing configuration classification of software 有权
标题翻译：优化软件配置分类的方法和系统
公开(公告)号：US08326783B2
公开(公告)日：2012-12-04
申请号：US12040188
申请日：2008-02-29
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yu Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yu Wong
IPC分类号： G06N5/00
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译：提供了一种通过利用知识库来最小化测试新软件系统的冗余度的方法和系统。知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。

2. 发明授权

US07792772B2 Method and system for optimizing configuration classification of software 失效
标题翻译：优化软件配置分类的方法和系统
公开(公告)号：US07792772B2
公开(公告)日：2010-09-07
申请号：US12027734
申请日：2008-02-07
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
IPC分类号： G06N5/02
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译：提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。

3. 发明申请

US20080147589A1 Method and System for Optimizing Configuration Classification of Software 有权
公开(公告)号：US20080147589A1
公开(公告)日：2008-06-19
申请号：US12040188
申请日：2008-02-29
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
IPC分类号： G06N5/02
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.

4. 发明授权

US07370039B2 Method and system for optimizing configuration classification of software 有权
标题翻译：优化软件配置分类的方法和系统
公开(公告)号：US07370039B2
公开(公告)日：2008-05-06
申请号：US11098824
申请日：2005-04-05
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianney , Peter Wai Yee Wong
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译：提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。

5. 发明申请

US20080147583A1 Method and System for Optimizing Configuration Classification of Software 失效
标题翻译：优化软件配置分类的方法和系统
公开(公告)号：US20080147583A1
公开(公告)日：2008-06-19
申请号：US12027734
申请日：2008-02-07
申请人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianncy , Peter Wai Yee Wong
发明人： Kenneth Michael Ashcraft , Flavio Alvarenga Bergamaschi , Viktors Bertsis , Erin Christine Burke , Duy Huynh , Santhosh Rao , Duc J. Vianncy , Peter Wai Yee Wong
IPC分类号： G06N5/02
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译：提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。

6. 发明申请

US20060224359A1 Method and system for optimizing configuration classification of software 有权
标题翻译：优化软件配置分类的方法和系统
公开(公告)号：US20060224359A1
公开(公告)日：2006-10-05
申请号：US11098824
申请日：2005-04-05
申请人： Kenneth Ashcraft , Flavio Bergamaschi , Viktors Bertsis , Erin Burke , Duy Huynh , Santhosh Rao , Duc Vianney , Peter Wong
发明人： Kenneth Ashcraft , Flavio Bergamaschi , Viktors Bertsis , Erin Burke , Duy Huynh , Santhosh Rao , Duc Vianney , Peter Wong
IPC分类号： G21C17/00
CPC分类号： G06F11/3696 , G06F8/71 , G06F11/3672 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.
摘要翻译：提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。

7. 发明授权

US07779354B2 Method and data processing system for recognizing and correcting dyslexia-related spelling errors 有权
标题翻译：用于识别和纠正诵读困难相关拼写错误的方法和数据处理系统
公开(公告)号：US07779354B2
公开(公告)日：2010-08-17
申请号：US10844637
申请日：2004-05-13
申请人： Kenneth Michael Ashcraft , Viktors Berstis , Erin Christine Burke , Santhosh Rao , Richard Scott Schwerdtfeger
发明人： Kenneth Michael Ashcraft , Viktors Berstis , Erin Christine Burke , Santhosh Rao , Richard Scott Schwerdtfeger
IPC分类号： G06F17/00
CPC分类号： G06F17/273
摘要： A method, computer program product, and a data processing system for recognizing and correcting dyslexia-related spelling errors is provided. A word is received for evaluation of a dyslexia-related misspelling. The received word is compared with a plurality of dyslexia variants, and a match between the received word and a dyslexia variant is identified. An error rate at which dyslexia-related misspelled words are received is compared with a threshold, and the read word is evaluated as one of a correctly spelled word and a dyslexia-related misspelling of a word.
摘要翻译：提供了一种用于识别和纠正阅读障碍相关拼写错误的方法，计算机程序产品和数据处理系统。收到一个词来评估诵读困难相关的拼写错误。将所接收的词与多个阅读困难变体进行比较，并且识别所接收的词与阅读困难变体之间的匹配。将与诵读困难相关的拼写错误的单词接收到的错误率与阈值进行比较，并将读取的单词评估为正确拼写的单词和阅读障碍相关的单词拼写错误。

8. 外观设计

USD699251S1 Electronic display with graphical user interface 有权
标题翻译：电子显示屏，带图形用户界面
公开(公告)号：USD699251S1
公开(公告)日：2014-02-11
申请号：US29391777
申请日：2011-05-12
申请人： Santhosh Rao , Suvodeep Das , Radha Phani Sunkara
设计人： Santhosh Rao , Suvodeep Das , Radha Phani Sunkara

9. 发明授权

US07934208B2 Method for transparent on-line dynamic binary optimization 有权
标题翻译：透明在线动态二进制优化方法
公开(公告)号：US07934208B2
公开(公告)日：2011-04-26
申请号：US11549319
申请日：2006-10-13
申请人： Kevin Michael Corry , Mark Alan Peloquin , Steven Pratt , Santhosh Rao , Karl Milton Rister
发明人： Kevin Michael Corry , Mark Alan Peloquin , Steven Pratt , Santhosh Rao , Karl Milton Rister
IPC分类号： G06F9/45
CPC分类号： G06F8/443 , G06F11/3664
摘要： A generalized on-line solution for achieving transparent binary optimization using pre-existing profiling facilities and virtual memory remapping of text regions. An optimization environment is initialized which comprises a debugger program, a profiling facility, and an optimizer. A running target program is attached to the debugger program, wherein the debugger program monitors process execution of the target program. Responsive to monitoring the running target program, profile data of the running target program is collected using the profiling facility. The profile data is provided to the optimizer, wherein the optimizer analyzes the profile data and existing code of the running target program. Responsive to a determination to optimize the existing code based on the profile data, optimized code is generated for the running target program. The optimized code is provided to the debugger program, wherein the debugger program inserts the optimized code into a virtual address space of the running target program.
摘要翻译：一种广泛的在线解决方案，用于使用预先存在的分析设施和虚拟内存重新映射文本区域来实现透明的二进制优化。初始化优化环境，其包括调试器程序，分析设备和优化器。运行的目标程序附加到调试器程序，其中调试程序监视目标程序的进程执行。响应于监控运行的目标程序，使用分析工具收集运行目标程序的配置文件数据。简档数据被提供给优化器，其中优化器分析运行目标程序的简档数据和现有代码。响应于基于简档数据优化现有代码的确定，为运行的目标程序生成优化的代码。将优化的代码提供给调试器程序，其中调试器程序将优化的代码插入到运行的目标程序的虚拟地址空间中。

10. 发明授权

US07743140B2 Binding processes in a non-uniform memory access system 有权
标题翻译：非均匀内存访问系统中的绑定过程
公开(公告)号：US07743140B2
公开(公告)日：2010-06-22
申请号：US11608301
申请日：2006-12-08
申请人： Barry Bradley Arndt , Kevin Michael Corry , Mark Alan Peloquin , Steven Pratt , Santhosh Rao , Karl Milton Rister
发明人： Barry Bradley Arndt , Kevin Michael Corry , Mark Alan Peloquin , Steven Pratt , Santhosh Rao , Karl Milton Rister
IPC分类号： G06F15/173 , G06F13/00
CPC分类号： G06F9/5088 , G06F2209/5022 , H04L41/12 , H04L43/12
摘要： A computer implemented method, apparatus, and computer usable program product for binding a process to a selected node of a multi-node system. Input/output activity statistics for a process are retrieved from a set of probes. The set of probes detects a flow of data through an input/output device utilized by the process. A topology of the multi-node system that comprises a location of the input/output device is identified. A node is selected according to a decision policy to form a selected node. The process is bound to the selected node according to the decision policy.
摘要翻译：一种用于将过程绑定到多节点系统的选定节点的计算机实现的方法，装置和计算机可用程序产品。从一组探测器中检索进程的输入/输出活动统计信息。该组探针通过该过程所使用的输入/输出设备来检测数据流。识别包括输入/输出设备的位置的多节点系统的拓扑。根据决策策略选择节点以形成所选择的节点。该过程根据决策策略绑定到所选节点。

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