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1. 发明授权

US11308413B2 Intelligent optimization of flow control devices 有权
公开(公告)号：US11308413B2
公开(公告)日：2022-04-19
申请号：US16258335
申请日：2019-01-25
申请人： Alireza Shahkarami , Guoxiang Liu , Naresh Sundaram Iyer , Hayley Stephenson , Atul Kshirsagar , Tushar Patil , Colin Cranfield
发明人： Alireza Shahkarami , Guoxiang Liu , Naresh Sundaram Iyer , Hayley Stephenson , Atul Kshirsagar , Tushar Patil , Colin Cranfield
IPC分类号： G06N7/00 , E21B43/12 , G06F30/20 , G06F111/08 , G06F111/10
摘要： A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

2. 发明授权

US09785744B2 System and method for protocol adherence 有权
公开(公告)号：US09785744B2
公开(公告)日：2017-10-10
申请号：US13231639
申请日：2011-09-13
申请人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
发明人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
IPC分类号： H04N7/18 , G06F19/00 , G06Q10/00 , G08B21/24
CPC分类号： G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
摘要： The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

3. 发明申请

US20130191465A1 FACILITATING MESSAGE SERVICES USING MULTI-ROLE SYSTEMS 有权
标题翻译：使用多角色系统实现消息传递服务
公开(公告)号：US20130191465A1
公开(公告)日：2013-07-25
申请号：US13356868
申请日：2012-01-24
申请人： Naresh Sundaram , Greg Thiel , Robin Thomas , Harvey Rook , Yogesh Bansal
发明人： Naresh Sundaram , Greg Thiel , Robin Thomas , Harvey Rook , Yogesh Bansal
IPC分类号： G06F15/16
CPC分类号： H04L43/0817 , H04L51/00
摘要： Systems, methods, and software are provided for facilitating a message service. A multi-role system is identified based on where an active message database associated with a user identity resides. Service communications generated by a messaging client associated with the user identity are directed from an entry system to the multi-role system for handling in the multi-role system by a messaging server and a content server to provide the message service.
摘要翻译：提供系统，方法和软件以便于消息服务。基于与用户身份相关联的活动消息数据库的位置识别多角色系统。由与用户身份相关联的消息传递客户端生成的服务通信从入口系统引导到多角色系统，以在多角色系统中由消息传递服务器和内容服务器处理以提供消息服务。

4. 发明授权

US08370045B2 Starter control valve failure prediction machine to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic, program product and related methods 有权
标题翻译：起动控制阀故障预测机预测和趋势使用启动器控制阀健康预测的燃气轮机发动机控制阀故障，程序产品及相关方法
公开(公告)号：US08370045B2
公开(公告)日：2013-02-05
申请号：US12541811
申请日：2009-08-14
申请人： Hai Qiu , Naresh Sundaram Iyer , Weizhong Yan
发明人： Hai Qiu , Naresh Sundaram Iyer , Weizhong Yan
IPC分类号： G06F19/00
CPC分类号： F02C7/26 , F01D19/00 , F02C7/262 , F05D2270/708
摘要： Starter control valve failure prediction machines, systems, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors.
摘要翻译：提供了起动器控制阀故障预测机，系统，程序产品和计算机实现的方法来预测和趋势，使用启动器控制阀健康预测的燃气涡轮发动机中的起动器控制阀故障并预测起动器控制阀故障。根据本发明的实施例的计算机实现的方法可以包括以下步骤：响应于从燃气涡轮发动机传感器下载的燃气涡轮发动机启动数据导出的多个健康指数，产生连续起动器控制阀恶化趋势功能，用于多个启动和分析连续起动器控制阀恶化趋势功能，以识别潜在的起动器控制阀故障点，其中起动器控制阀的点变化趋势功能与启动器控制阀的健康预测相关，响应于从燃气轮机下载的历史燃气涡轮发动机启动数据发动机传感器。

5. 发明申请

US20120154582A1 SYSTEM AND METHOD FOR PROTOCOL ADHERENCE 有权
标题翻译：用于协议约束的系统和方法
公开(公告)号：US20120154582A1
公开(公告)日：2012-06-21
申请号：US13231639
申请日：2011-09-13
申请人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, JR. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
发明人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, JR. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
IPC分类号： G08B19/00 , H04N7/18
CPC分类号： G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
摘要： The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
摘要翻译：本文所公开的系统和方法提供了一种集成和自动化的工作流程，传感器和推理系统，其自动检测协议中的违规行为，适当地警报并记录这些违规行为，便于员工采用协议依从性，并且最终使得能够研究协议的护理比较有效性。该系统在实际的护理过程中向医务人员提供实时警报，从而减少负面病人事件的数量，并最终提高员工在协议遵守方面的行为。

6. 发明申请

US20110185136A1 MOVING LARGE DYNAMIC DATASETS VIA INCREMENTAL CHANGE SYNCHRONIZATION 审中-公开
标题翻译：通过增量更改同步移动大型动态数据
公开(公告)号：US20110185136A1
公开(公告)日：2011-07-28
申请号：US12692321
申请日：2010-01-22
申请人： DMITRI GAVRILOV , BRADFORD R. CLARK , JAMES C. KLEEWEIN , AYLA KOL , BRIAN T. KRESS , NARESH SUNDARAM
发明人： DMITRI GAVRILOV , BRADFORD R. CLARK , JAMES C. KLEEWEIN , AYLA KOL , BRIAN T. KRESS , NARESH SUNDARAM
IPC分类号： G06F12/16 , G06F12/00
CPC分类号： G06F16/214 , G06F16/273
摘要： Incremental change synchronization for moving large data sets may be provided. Source data to be moved may be identified and a snapshot of the data may be created. The data may be moved to a new datastore and a second snapshot may be created. The snapshots may be compared to identify any data elements that have been modified and the modified elements may be copied to the new datastore.
摘要翻译：可以提供用于移动大数据集的增量变化同步。可以识别要移动的源数据，并且可以创建数据的快照。可以将数据移动到新的数据存储区，并且可以创建第二快照。可以将快照进行比较，以识别已修改的任何数据元素，并将修改的元素复制到新的数据存储。

7. 发明申请

US20110040470A1 Starter Control Valve Failure Prediction Machine To Predict and Trend Starter Control Valve Failures In Gas Turbine Engines Using A Starter Control Valve Health Prognostic, Program Product and Related Methods 有权
标题翻译：起动器控制阀故障预测机预测和趋势起动器控制阀故障在使用起动器控制阀的燃气轮机发动机健康预测，程序产品和相关方法
公开(公告)号：US20110040470A1
公开(公告)日：2011-02-17
申请号：US12541811
申请日：2009-08-14
申请人： Hai Qiu , Naresh Sundaram Iyer , Weizhong Yan
发明人： Hai Qiu , Naresh Sundaram Iyer , Weizhong Yan
IPC分类号： G06F19/00
CPC分类号： F02C7/26 , F01D19/00 , F02C7/262 , F05D2270/708
摘要： Starter control valve failure prediction machines, systems, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors.
摘要翻译：提供了起动控制阀故障预测机，系统，程序产品和计算机实现的方法来预测和趋势，使用启动器控制阀健康预测的燃气轮机发动机起动器控制阀故障，并预测起动器控制阀故障。根据本发明的实施例的计算机实现的方法可以包括以下步骤：响应于从燃气涡轮发动机传感器下载的燃气涡轮发动机启动数据导出的多个健康指数，产生连续起动器控制阀恶化趋势功能，用于多个启动和分析连续起动器控制阀恶化趋势功能，以识别潜在的起动器控制阀故障点，其中起动器控制阀的点变化趋势功能与启动器控制阀的健康预测相关，响应于从燃气轮机下载的历史燃气涡轮发动机启动数据发动机传感器。

8. 发明申请

US20090048876A1 SYSTEM AND PROCESS FOR A FUSION CLASSIFICATION FOR INSURANCE UNDERWRITING SUITABLE FOR USE BY AN AUTOMATED SYSTEM 有权
标题翻译：用于保险分类的系统和程序，适用于自动系统使用的保险
公开(公告)号：US20090048876A1
公开(公告)日：2009-02-19
申请号：US12131545
申请日：2008-06-02
申请人： Piero Patrone Bonissone , Kareem Sherif AGGOUR , Rajesh Venkat SUBBU , Weizhong YAN , Naresh Sundaram IYER , Anindya CHAKRABORTY
发明人： Piero Patrone Bonissone , Kareem Sherif AGGOUR , Rajesh Venkat SUBBU , Weizhong YAN , Naresh Sundaram IYER , Anindya CHAKRABORTY
IPC分类号： G06Q40/00 , G06Q10/00
CPC分类号： G06Q40/08 , G06Q40/00
摘要： A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier. A static discounting factor is used to represent a prior expectation about the classifier's reliability, e.g., it might be based on the average past accuracy of the model, while a dynamic discounting is used to represent a conditional assessment of the classifier's reliability, e.g., whenever a classifier bases its output on an insufficient number of points it is not reliable.
摘要翻译：描述用于融合用于自动保险承保系统的分类器集合和/或其质量保证的方法和系统。具体来说，分类器的集合的输出被融合。数据的融合通常会导致一些共识和分类器之间的一些冲突。共识将被测量并用于估计融合决策的信心程度。根据融合的决定和信心程度以及生产决策引擎的决策和决策程度，然后可以使用比较模块来识别审计案例，增加用于重新调整生产的培训/测试集的案例决策引擎，审查案例，或者可以简单地触发其发生记录以进行跟踪。融合可以补偿分类器之间的潜在相关性。每个分类器的可靠性可以由静态或动态折扣因子表示，这将反映分类器的预期准确性。静态折扣因子用于表示对分类器的可靠性的先前期望，例如，可以基于模型的平均过去精度，而使用动态贴现来表示分类器的可靠性的条件评估，例如，每当分类器的输出基于不可靠的点数不足。

9. 发明授权

US07469228B2 Systems and methods for efficient frontier supplementation in multi-objective portfolio analysis 失效
标题翻译：多目标投资组合分析中有效前沿补充的系统和方法
公开(公告)号：US07469228B2
公开(公告)日：2008-12-23
申请号：US10781897
申请日：2004-02-20
申请人： Piero Patrone Bonissone , Srinivas Bollapragada , Kete Charles Chalermkraivuth , Neil Holger White Eklund , Naresh Sundaram Iyer , Rajesh Venkat Subbu
发明人： Piero Patrone Bonissone , Srinivas Bollapragada , Kete Charles Chalermkraivuth , Neil Holger White Eklund , Naresh Sundaram Iyer , Rajesh Venkat Subbu
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06
摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: performing a first multi-objective optimization process, based on competing objectives, to generate an efficient frontier of possible solutions; observing the generated efficient frontier; based on the observing, identifying an area of the efficient frontier in which there is a gap; and effecting a gap filling process by which the efficient frontier is supplemented in the area of the gap, the efficient frontier being used in investment decisioning.
摘要翻译：本发明的系统和方法针对组合优化和相关技术。例如，本发明提供了一种用于基于竞争目标和构成投资组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：基于竞争目标执行第一多目标优化过程，以产生可能的解决方案的有效前沿; 观察生成的有效边界; 根据观察，确定存在差距的有效边界的一个区域; 并在差距填补过程中，有效的前沿在差距领域得到补充，有效的前沿被用于投资决策。

10. 发明授权

US07457786B2 Performance enhancement of optimization processes 有权
标题翻译：优化过程的性能提升
公开(公告)号：US07457786B2
公开(公告)日：2008-11-25
申请号：US11210120
申请日：2005-08-23
申请人： James Kenneth Aragones , Naresh Sundaram Iyer , Catherine Joyce Lazatin
发明人： James Kenneth Aragones , Naresh Sundaram Iyer , Catherine Joyce Lazatin
IPC分类号： G06F15/18 , G06F17/00 , G06N3/00 , G06N3/12 , G06N5/02
CPC分类号： G06N3/126
摘要： The performance of optimization algorithms operating with compute-intensive fitness functions is enhanced by constraining time-intensive fitness evaluations for candidate solutions that show low likelihood of being fit at early stages of the fitness evaluation. By prematurely discarding alternatives that could be potentially optimal upon complete fitness evaluation but with low likelihood, the running time of the overall optimization process is advantageously reduced substantially, thereby trading off time complexity for search fidelity.
摘要翻译：运用计算密集型健身功能的优化算法的性能通过约束对健身评估的早期阶段适合的可能性较低的候选解决方案的时间密集型健身评估来加强。通过过早地丢弃可能在完全健身评估中可能是最佳的但具有低可能性的替代方案，有利地大大降低了整体优化过程的运行时间，从而消除了搜索保真度的时间复杂性。

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