专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08544727B1 Method and system for anti-money laundering surveillance 有权
标题翻译：反洗钱监管方法和制度
公开(公告)号：US08544727B1
公开(公告)日：2013-10-01
申请号：US11554191
申请日：2006-10-30
申请人： Matthew R. Quinn , Agus Sudjianto , Peter C. Richards , Misty Ritchie
发明人： Matthew R. Quinn , Agus Sudjianto , Peter C. Richards , Misty Ritchie
IPC分类号： G06Q40/00
CPC分类号： G06Q40/00
摘要： A method for anti-money laundering surveillance may include analyzing transaction data based on a group that may include at least one of peer comparison, expected level of activity and debit/credit flow through. The method may also include generating an alert in response to one or more predetermined results from the analyzing.
摘要翻译：反洗钱监控的方法可以包括基于可以包括对等比较，预期活动水平和借记/信用流量中的至少一个的组来分析交易数据。该方法还可以包括响应于来自分析的一个或多个预定结果来产生警报。

2. 发明申请

US20060064288A1 System and method of interactive design of a product 有权
标题翻译：产品交互式设计的系统和方法
公开(公告)号：US20060064288A1
公开(公告)日：2006-03-23
申请号：US10946652
申请日：2004-09-22
申请人： Liem Ferryanto , Mahesh Vora , Agus Sudjianto
发明人： Liem Ferryanto , Mahesh Vora , Agus Sudjianto
IPC分类号： G06F17/10
CPC分类号： G06F17/50 , G06F2217/08 , G06F2217/10 , G06Q10/00
摘要： A system for interactive design a product having a design solution which includes a design parameter and a design response includes a user computer system and a remotely located computer system in communication with the user computer system. The system also includes a computer- generated geometric model of a product design stored in a data storage means. The system further includes a statistical analysis software program implemented by the remotely located computer system and a computer aided engineering software program implemented by the remotely located computer system. The method is implemented by an executable product design software program, and includes the steps of identifying an ideal design solution for the product design by identifying an unnecessary design parameter having a predetermined significant influence on a variable design response and fixing a predetermined nominal value of the identified unnecessary design parameter at which the variable design response is a minimum and the product design is an uncoupled design or a decoupled design. The method also includes the steps of selecting a most robust ideal design solution from the identified ideal design solution that is the most uncoupled design or the most decoupled design. The method further includes the steps of optimizing the most robust ideal design solution to obtain a pareto-optimal design solution for use in the design of the product that includes a design parameter having an independent design response.
摘要翻译：用于交互式设计的系统具有包括设计参数和设计响应的设计解决方案的产品包括与用户计算机系统通信的用户计算机系统和位于远程的计算机系统。该系统还包括计算机生成的存储在数据存储装置中的产品设计的几何模型。该系统还包括由位于远程的计算机系统实现的统计分析软件程序和由位于远程的计算机系统实现的计算机辅助工程软件程序。该方法通过可执行产品设计软件程序来实现，并且包括以下步骤：通过识别对可变设计响应具有预定的重要影响的不必要的设计参数来识别产品设计的理想设计解决方案，并且固定确定了可变设计响应最小的不必要的设计参数，产品设计是非耦合设计或解耦设计。该方法还包括从所确定的理想设计解决方案中选择最为强大的理想设计解决方案的步骤，该解决方案是最不连接的设计或最不连接的设计。该方法还包括以下步骤：优化最强大的理想设计解决方案，以获得用于产品设计的帕累托最优设计解决方案，其中包括具有独立设计响应的设计参数。

3. 发明申请

US20130073481A1 Risk and Reward Assessment Mechanism 有权
标题翻译：风险和奖励评估机制
公开(公告)号：US20130073481A1
公开(公告)日：2013-03-21
申请号：US13618121
申请日：2012-09-14
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawa , Jocelyn Sikora , Harsh Singhal , Kiran Vuppo , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawa , Jocelyn Sikora , Harsh Singhal , Kiran Vuppo , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/06
CPC分类号： G06Q40/06 , G06Q10/04 , G06Q30/02
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译：描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。该方法包括与帐户相关联的客户的帐户级历史数据收集作为投资组合的一部分。账户级别的历史数据被分为具有相似收入和损失特征的客户群体。分段数据分解为调味料，复古和循环效应。基于数据和效果形成统计群集。将仿真应用于统计集群，生成预测数据。开发了一种预测和模拟收入和损失波动率的模拟策略。在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。

4. 发明授权

US07389212B2 System and method of interactive design of a product 有权
标题翻译：产品交互式设计的系统和方法
公开(公告)号：US07389212B2
公开(公告)日：2008-06-17
申请号：US10946652
申请日：2004-09-22
申请人： Liem Ferryanto , Mahesh Vora , Agus Sudjianto
发明人： Liem Ferryanto , Mahesh Vora , Agus Sudjianto
IPC分类号： G06F17/10
CPC分类号： G06F17/50 , G06F2217/08 , G06F2217/10 , G06Q10/00
摘要： A system and method for interactive design of a product includes the steps of identifying an ideal design solution by identifying an unnecessary design parameter having a predetermined significant influence on a variable design response and fixing a predetermined nominal value of the identified unnecessary design parameter at which the variable design response is a minimum and the product design is an uncoupled design or a decoupled design. The method also includes the steps of selecting a most robust ideal design solution from the identified ideal design solution that is the most uncoupled design or the most decoupled design. The method further includes the steps of optimizing the most robust ideal design solution to obtain a pareto-optimal design solution for use in the design of the product that includes a design parameter having an independent design response.
摘要翻译：用于产品的交互式设计的系统和方法包括以下步骤：通过识别对可变设计响应具有预定重要影响的不必要的设计参数来识别理想设计解决方案，并且固定所识别的不必要的设计参数的预定标称值，可变设计响应是最小的，产品设计是非耦合设计或解耦设计。该方法还包括从所确定的理想设计解决方案中选择最为强大的理想设计解决方案的步骤，该解决方案是最不连接的设计或最不连接的设计。该方法还包括以下步骤：优化最强大的理想设计解决方案，以获得用于产品设计的帕累托最优设计解决方案，其中包括具有独立设计响应的设计参数。

5. 发明授权

US08533082B1 Consumer leverage modeling 有权
标题翻译：消费者杠杆建模
公开(公告)号：US08533082B1
公开(公告)日：2013-09-10
申请号：US12541728
申请日：2009-08-14
申请人： Agus Sudjianto , Jie Chen , Meghan Alita Steach
发明人： Agus Sudjianto , Jie Chen , Meghan Alita Steach
IPC分类号： G06Q40/00
CPC分类号： G06Q40/00 , G06Q40/025
摘要： Embodiments of the present invention relate to systems, methods and computer program products that model consumer leverage and provide a leading indicator that predicts increases or decreases in consumer net non-collectibles. To do so, for example, the present invention determines the growth of consumers' spending and borrowing, and tracks a relationship between the value of a ratio that compares consumers' spending and borrowing and the value of the equilibrium of the ratio that compares consumers' spending and borrowing. This relationship is then applied to predict changes in consumers' ability to repay borrowed funds and consumer net non-collectibles.
摘要翻译：本发明的实施例涉及模拟消费者杠杆的系统，方法和计算机程序产品，并提供预测消费者非收集品的增加或减少的主要指标。例如，本发明确定了消费者支出和借款的增长，并追踪了比较消费者支出与借款的比率价值与比较消费者比例平衡的价值之间的关系。消费和借款。然后将这种关系用于预测消费者偿还借款资金和消费者非收藏品的能力变化。

6. 发明申请

US20090327036A1 DECISION SUPPORT SYSTEMS USING MULTI-SCALE CUSTOMER AND TRANSACTION CLUSTERING AND VISUALIZATION 审中-公开
标题翻译：使用多尺度客户和交易分类和可视化的决策支持系统
公开(公告)号：US20090327036A1
公开(公告)日：2009-12-31
申请号：US12206103
申请日：2008-09-08
申请人： Preston W. Ports, III , Debashis Ghosh , Weicheng Liu , Agus Sudjianto , Jie Chen , Thayer Allison , David Joffe , Mack Amin , Samir Pawar , Matt Quinn
发明人： Preston W. Ports, III , Debashis Ghosh , Weicheng Liu , Agus Sudjianto , Jie Chen , Thayer Allison , David Joffe , Mack Amin , Samir Pawar , Matt Quinn
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q10/10 , G06Q40/00
摘要： Systems, methods and consumer-readable media for using multi-scale customer and transaction clustering and visualization according to the invention have been provided. Systems and methods according to the invention may use program code to obtain customer transaction data and categorize obtained customer transaction data. The systems and methods may also analyze the categorized customer transaction data in order to identify patterns among the data. The systems and methods may also use the identified patterns to isolate a selected number of behavioral factors and group customers into population segments based on the behavioral factors.
摘要翻译：已经提供了根据本发明的用于使用多尺度客户和事务集群和可视化的系统，方法和消费者可读介质。根据本发明的系统和方法可以使用程序代码来获得客户交易数据并对获得的客户交易数据进行分类。系统和方法还可以分析分类的客户交易数据，以便识别数据中的模式。系统和方法还可以使用所识别的模式来基于行为因素来隔离选定数量的行为因素并将客户群组合成群体段。

7. 发明授权

US06931366B2 Method and apparatus for analyzing a design 失效
标题翻译：用于分析设计的方法和装置
公开(公告)号：US06931366B2
公开(公告)日：2005-08-16
申请号：US09681398
申请日：2001-03-29
申请人： Steve C. Wang , Agus Sudjianto , David John Buche , Dingjun Li , Mahesh Himatial Vora , Nathan R. Soderborg , Siyuan Jiang , Xiaoping Liu
发明人： Steve C. Wang , Agus Sudjianto , David John Buche , Dingjun Li , Mahesh Himatial Vora , Nathan R. Soderborg , Siyuan Jiang , Xiaoping Liu
IPC分类号： G06F17/50 , G06F7/60 , G06F17/10 , G06F101/00
CPC分类号： G06F17/5009 , G06F2217/10
摘要： A system 10, which receives a computer, aided model or design 18 and which probabilistically analyzes the model 18 by use of a modified Latin Hypercube sampling technique and combined MARS and Kriging simulation methodologies, thereby allowing a simulation to be conducted at a most probable point of operation and allowing products having desired characteristics and attributes to be created.
摘要翻译：一种系统10，其接收计算机，辅助模型或设计18，并且通过使用经修改的拉丁超立方体采样技术和组合的MARS和克里金模拟方法概率地分析模型18，从而允许在最可能的点进行模拟的操作，并允许产生具有期望的特性和属性的产品。

8. 发明授权

US08577776B2 Risk and reward assessment mechanism 有权
标题翻译：风险和报酬评估机制
公开(公告)号：US08577776B2
公开(公告)日：2013-11-05
申请号：US13618121
申请日：2012-09-14
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06 , G06Q10/04 , G06Q30/02
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译：描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。该方法包括与帐户相关联的客户的帐户级历史数据收集作为投资组合的一部分。账户级别的历史数据被分为具有相似收入和损失特征的客户群体。分段数据分解为调味料，复古和循环效应。基于数据和效果形成统计群集。将仿真应用于统计集群，生成预测数据。开发了一种预测和模拟收入和损失波动率的模拟策略。在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。

9. 发明授权

US08423454B2 Determining leading indicators 有权
标题翻译：确定领先指标
公开(公告)号：US08423454B2
公开(公告)日：2013-04-16
申请号：US13344709
申请日：2012-01-06
申请人： Jie Chen , Timothy John Breault , Fernando Cela Diaz , William Anthony Nobili , Sandi Setiawan , Harsh Singhal , Agus Sudjianto , Andrea Renee Turner , Bradford Timothy Winkelman
发明人： Jie Chen , Timothy John Breault , Fernando Cela Diaz , William Anthony Nobili , Sandi Setiawan , Harsh Singhal , Agus Sudjianto , Andrea Renee Turner , Bradford Timothy Winkelman
IPC分类号： G06Q40/00
CPC分类号： G06Q10/067 , G06Q40/00
摘要： Embodiments of the present invention relate to methods and apparatuses for determining leading indicators and/or for modeling one or more time series. For example, in some embodiments, a method is provided that includes: (a) receiving first data indicating the value of a total income amount for a plurality of consumers over a period of time; (b) receiving second data indicating the value of a total debt amount for a plurality of consumers over a period of time; (c) selecting a consumer leverage time series that compares the total income amount to the total debt amount over a period of time; (d) modeling the consumer leverage time series based at least partially on the first and second data; (e) determining, using a processor, the value of the cycle component for a particular time; and (f) outputting an indication of the value of the cycle component for the particular time.
摘要翻译：本发明的实施例涉及用于确定前导指示符和/或建模一个或多个时间序列的方法和装置。例如，在一些实施例中，提供了一种方法，其包括：（a）在一段时间内接收指示多个消费者的总收入金额的值的第一数据; （b）在一段时间内接收表示多个消费者的总债务金额的第二数据; （c）选择消费者杠杆时间序列，将总收入与一段时间内的债务总额进行比较; （d）至少部分地基于第一和第二数据对消费者杠杆时间序列进行建模; （e）使用处理器确定特定时间的周期分量的值; 和（f）输出特定时间的循环分量的值的指示。

10. 发明授权

US08326723B2 Risk and reward assessment mechanism 有权
标题翻译：风险和报酬评估机制
公开(公告)号：US08326723B2
公开(公告)日：2012-12-04
申请号：US12546807
申请日：2009-08-25
申请人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
发明人： Agus Sudjianto , Michael Chorba , Daniel Hudson , Sandi Setiawan , Jocelyn Sikora , Harsh Singhal , Kiran Vuppu , Kaloyan Mihaylov , Jie Chen , Timothy J. Breault , Arun R. Pinto , Naveen G. Yeri , Benhong Zhang , Zhe Zhang , Tony Nobili , Hungien Wang , Aijun Zhang
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06 , G06Q10/04 , G06Q30/02
摘要： A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.
摘要翻译：描述了消费者和小企业的数据驱动和前瞻性风险和奖励食欲方法。该方法包括客户细分，以便在收入和损失特征方面创建同质资产池，前瞻性模拟以预测收益和损失的预期值和波动率，以及投资组合的风险和报酬优化。用于建模收入和损失的一种方法是广义加和效应分解模型，以适应历史数据。基于该模型，执行分割程序，其允许创建具有类似收入和损失特征的客户群体。开发了模型的估计程序，并开发了一种预测和模拟收入和损失波动性的模拟策略。在各种经济情景下为当前投资组合创建有效的边际风险曲线（例如回报波动性）和报酬（例如预期收益）。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式