会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Recursive on-line wavelet data compression technique for use in data storage and communications
    • 递归在线小波数据压缩技术用于数据存储和通信
    • US06215907B1
    • 2001-04-10
    • US09105950
    • 1998-06-26
    • Shailesh KumarManish MisraS. Joe QinTerrence L. BlevinsRichard C. Seemann
    • Shailesh KumarManish MisraS. Joe QinTerrence L. BlevinsRichard C. Seemann
    • G06K936
    • H03M7/30H04N19/124H04N19/63H04N19/96
    • A recursive on-line wavelet data compression technique which may be used in, for example, a process control network, compresses a stream of data points on-line or in real-time (e.g., as the data arrives or is generated) without requiring the storage of a large amount of uncompressed data. The data compression system includes a data receiver that receives the data points in a sequential manner and a compression tree computation device that determines approximation coefficients and detail coefficients of a multi-layer wavelet compression tree from the received data points. The compression tree computation device determines all of the coefficients of the higher level layers of the compression tree that can be determined after the data receiver receives each of the data points to thereby perform on-line or real-time data compression. A memory stores the determined approximation coefficients of the compression tree, a comparator compares the determined detail coefficient magnitudes or other error measurements to one or more thresholds to determine if construction of the compression tree should be halted and a compression data generator selects a subset of the determined coefficients to create a set of compressed data corresponding to the received data points when the comparator determines that construction of the compression tree should be halted.
    • 可以在例如过程控制网络中使用的递归在线小波数据压缩技术在线或实时地压缩数据流流(例如,随着数据到达或被产生)而不需要 存储大量的未压缩数据。 数据压缩系统包括以顺序方式接收数据点的数据接收器和从所接收的数据点确定多层小波压缩树的近似系数和细节系数的压缩树计算装置。 压缩树计算装置确定在数据接收器接收到每个数据点之后可以确定的压缩树的较高级别的所有系数,从而执行在线或实时数据压缩。 存储器存储所确定的压缩树的近似系数,比较器将所确定的细节系数量值或其他误差测量值与一个或多个阈值进行比较,以确定是否停止压缩树的构造,并且压缩数据生成器选择 当比较器确定应该停止压缩树的构造时,确定系数以创建与所接收的数据点相对应的一组压缩数据。
    • 3. 发明授权
    • Event driven change injection and dynamic extensions to a business process execution language process
    • 事件驱动的更改注入和业务流程执行语言流程的动态扩展
    • US08572618B2
    • 2013-10-29
    • US12776064
    • 2010-05-07
    • Khanderao KandFang LiuBhagat NainaniShailesh Kumar
    • Khanderao KandFang LiuBhagat NainaniShailesh Kumar
    • G09F9/46
    • G06F9/5038G06F2209/5013
    • An extensible process design provides an ability to dynamically inject changes into a running process instance, such as a BPEL instance. Using a combination of BPEL, rules and events, processes can be designed to allow flexibility in terms of adding new activities, removing or skipping activities and adding dependent activities. These changes do not require redeployment of the orchestration process and can affect the behavior of in-flight process instances. The extensible process design includes a main orchestration process, a set of task execution processes and a set of generic trigger processes. The design also includes a set of rules evaluated during execution of the tasks of the orchestration process. The design can further include three types of events: an initiate process event, a pre-task execution event and a post-task execution event. These events and rules can be used to alter the behavior of the main orchestration process at runtime.
    • 可扩展过程设计提供了将更改动态注入正在运行的流程实例(如BPEL实例)的功能。 使用BPEL,规则和事件的组合,可以设计流程以允许在添加新活动,删除或跳过活动以及添加依赖活动方面的灵活性。 这些更改不需要重新部署编排过程,并且可能影响飞行中流程实例的行为。 可扩展过程设计包括主要的编排过程,一组任务执行过程和一组通用触发过程。 该设计还包括在执行编排过程任务期间评估的一组规则。 该设计可以进一步包括三种类型的事件:启动过程事件,前任务执行事件和后任务执行事件。 这些事件和规则可用于在运行时改变主要业务流程的行为。
    • 6. 发明申请
    • INCREMENTAL FACTORIZATION-BASED SMOOTHING OF SPARSE MULTI-DIMENSIONAL RISK TABLES
    • 稀疏多维风险表的基于加速制造的平滑
    • US20090327132A1
    • 2009-12-31
    • US12163688
    • 2008-06-27
    • Vesselin DievShailesh KumarScott M. Zoldi
    • Vesselin DievShailesh KumarScott M. Zoldi
    • G06Q40/00
    • G06Q40/02G06Q20/40G06Q40/00G06Q40/025
    • A system for classifying a transaction as fraudulent includes a training component and a scoring component. The training component acts on historical data and also includes a multi-dimensional risk table component comprising one or more multidimensional risk tables each of which approximates an initial risk value for a substantially empty cell in a risk table based upon risk values in cells related to the substantially empty cell. The scoring component produces a score, based in part, on the risk tables associated with groupings of variables having values determined by the training component. The scoring component includes a statistical model that produces an output and wherein the transaction is classified as fraudulent when the output is above a selected threshold value.
    • 将交易分类为欺诈的系统包括训练组件和评分组件。 培训组件作用于历史数据,并且还包括多维风险表组件,其包括一个或多个多维风险表,每个风险表基于与风险表相关的单元中的风险值近似于风险表中基本上为空的单元格的初始风险值 基本上空的单元格。 评分部分产生一个分数,部分基于与具有由训练组件确定的值的变量分组相关联的风险表。 评分组件包括产生输出的统计模型,并且其中当输出高于所选择的阈值时,交易被分类为欺诈。