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    • 2. 发明授权
    • Method and system for assessing and optimizing crude selection
    • 评估和优化粗选择的方法和系统
    • US07966331B2
    • 2011-06-21
    • US10643191
    • 2003-08-18
    • Martha GardnerRajesh TyagiThomas RepoffAbhinanda SarkarAngshuman SahaShirley AuRoy WilsonMalcolm Craig WinslowMichael Dion
    • Martha GardnerRajesh TyagiThomas RepoffAbhinanda SarkarAngshuman SahaShirley AuRoy WilsonMalcolm Craig WinslowMichael Dion
    • G06F7/00G06F17/30
    • G06Q10/04G06Q40/08
    • A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.
    • 提供了评估和优化粗选择的方法和系统。 预测引擎使用来自数据库的数据来执行至少一个预测性能模型和/或至少一个风险评估模型,其被设计为在精炼过程中优化或改进精炼操作。 预测引擎将对应于特定原油或原油混合物的输入关键原油信息,例如至少一个粗钢板,以及对应于特定炼油厂的炼油厂操作参数和/或条件,并且使用可取性度量来评估与数据的相似性 数据库。 基于所得到的产出,至少一个预测性能和/或至少一个风险评估模型使用输出来预测在精炼过程中使用特定炼油厂改进特定原油或粗混合物的性能或风险度量,问题的概率 在精炼过程中发生的问题在整个精炼过程中的分布等
    • 9. 发明申请
    • System and method for integrating risk and marketing objectives for making credit offers
    • 整合风险和营销目标制定信用报价的制度和方法
    • US20070050288A1
    • 2007-03-01
    • US11216797
    • 2005-08-31
    • Abhinanda SarkarDebasis BalSubrat Nanda
    • Abhinanda SarkarDebasis BalSubrat Nanda
    • G06Q40/00G06Q30/00
    • G06Q40/02G06Q30/0254G06Q30/0269G06Q40/025
    • A system for integrating business risk and marketing objectives into a unified business strategy for providing credit to one or more members of a target population is provided. The system comprises a database comprising risk data and marketing data associated with the members of the target population and a scoring model that receives the risk data and the marketing data from the database. The scoring model generates a set of risk scores and a set of marketing scores associated with the members of the target population over a range of additional credit that could be provided to the members of the target population. The system further comprises a network model and an optimization model. The network model collectively uses the risk scores and the marketing scores from the scoring model and generates a probability distribution of expected use of the credit over the range of additional credit that could be provided to the target population. The optimization model receives the distribution of expected use of the credit from the network model and determines the level of credit to offer the members of the target population in order to maximize a business measure subject to a set of business constraints.
    • 提供了将业务风险和营销目标整合到统一业务战略中以向目标人群的一个或多个成员提供信贷的系统。 该系统包括数据库,其包括与目标人群的成员相关联的风险数据和营销数据,以及从数据库接收风险数据和营销数据的得分模型。 评分模型产生一组风险评分和一组与目标人群成员相关的营销成绩,可以向目标人群的成员提供一系列额外信贷。 该系统还包括网络模型和优化模型。 网络模型共同使用来自评分模型的风险分数和营销分数,并产生可以向目标人群提供的额外信贷范围内信用预期使用的概率分布。 优化模型接收来自网络模型的信用预期使用的分配,并确定向目标人群成员提供的信用级别,以便最大限度地利用一组业务限制的业务量度。
    • 10. 发明授权
    • Method for controlled and meaningful shape modifications
    • 控制和有意义的形状修改的方法
    • US06625330B1
    • 2003-09-23
    • US09516142
    • 2000-03-01
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • G06K932
    • G06K9/6204
    • A method of doing meaningful modifications on an image is presented. These modifications can then be used in variety of applications related to image shape manipulation and similar shape retrieval. The method extracts macrofeatures and microfeature from a given shape. Deformations are done on the macrofeatures only. These deformations are either predefined, or are taken from a deformation library, or are calculated from the shape itself, The microfeatures are then added to the deformed macrofeatures to get a deformed shape. The shape deformations then allow user's perception of shape similarity to be learned, which is reflected in the values of parameters in a parameterized shape similarity metric. The user can use one of the deformed shapes as the initial query point, instead of the shape he or she started with. The shape database compression is achieved by storing only the identification of a similar shape and value of global deformations which will generate this shape approximately, instead of storing every shape feature individually.
    • 提出了对图像进行有意义的修改的方法。 然后,这些修改可用于与图像形状操纵和类似形状检索有关的各种应用。 该方法从给定的形状提取宏特征和微特征。 变形仅在宏观特征上进行。 这些变形是预定义的,或者是从变形库中获取的,或者是根据形状本身计算的。然后将微特征加到变形的宏观特征中以得到变形的形状。 形状变形然后允许用户对形状相似度的感知被学习,这反映在参数化形状相似性度量中的参数值中。 用户可以使用其中一个变形的形状作为初始查询点,而不是他或她开始的形状。 形状数据库压缩是通过仅存储将产生该形状的全局变形的类似形状和值的识别来实现的,而不是分别存储每个形状特征。