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    • 2. 发明授权
    • System and method for automated part-number mapping
    • 用于自动部件号映射的系统和方法
    • US08001018B2
    • 2011-08-16
    • US12062607
    • 2008-04-04
    • Ghassan ChidiacJayant R. KalagnanamMoninder SinghSudhir VermaFabio Dennis WhiteMichael D. PatekYuk Wah Wong
    • Ghassan ChidiacJayant R. KalagnanamMoninder SinghSudhir VermaFabio Dennis WhiteMichael D. PatekYuk Wah Wong
    • G06Q10/00
    • G06Q10/087G06Q10/0875G06Q20/203
    • Automated mapping of part numbers associated with parts in a bill of materials (BOM) submitted by a BOM originator to internal part numbers assigned to those parts by a BOM receiver is performed by one or more computers connected to one or more networks through one or more network interfaces. A first receive component receives one or more data sets containing historical data on bills of materials received in the past by the BOM receiver. A second receive component receives one or more data sets containing known mappings between internal part numbers used by the BOM receiver, and part numbers used by various BOM originators. A third receive component receives one or more data sets containing information of various parameters and their values describing the parts to which the BOM receiver has assigned internal part numbers. A fourth receive component receives one or more methods of automatically learning models for predicting internal part numbers from the above mentioned historical BOM data, mapping data and part parametric data. A learning component learns the models from the data. A fifth receive component receives a BOM from a requesting process. The BOM has one or more parts with a missing internal part number. A mapping component applies the learned models to the received BOM to automatically determine internal part numbers for all unmapped BOM originator part numbers. A release process assigns internal part numbers to all unmapped parts in the BOM and releases the BOM to the requesting process.
    • 与由BOM发起者提交的材料清单(BOM)中的部件相关联的部件号与BOM接收器分配给这些部件的内部部件号的自动映射由一个或多个连接到一个或多个网络的计算机通过一个或多个 网络接口。 第一接收组件接收一个或多个数据集,其中包含由BOM接收机过去接收到的材料单上的历史数据。 第二接收组件接收一个或多个包含由BOM接收机使用的内部部件号之间的已知映射的数据集,以及由各种BOM发起者使用的部件号。 第三个接收组件接收包含各种参数信息的一个或多个数据集及其描述BOM接收机已分配内部部件号的部件的值。 第四接收组件接收一种或多种自动学习模型的方法,用于从上述历史BOM数据,映射数据和部分参数数据中预测内部部件号。 学习组件从数据中学习模型。 第五个接收组件从请求进程接收BOM。 BOM有一个或多个缺少内部零件号的零件。 映射组件将所学习的模型应用于接收到的BOM,以自动确定所有未映射BOM始发器部件号的内部部件号。 释放过程将内部部件号分配给BOM中的所有未映射部分,并将BOM释放到请求进程。
    • 3. 发明申请
    • SYSTEM AND METHOD FOR AUTOMATED PART-NUMBER MAPPING
    • 自动化零件编号的系统与方法
    • US20080215511A1
    • 2008-09-04
    • US12062607
    • 2008-04-04
    • Ghassan CHIDIACJayant R. KalagnanamMoninder SinghSudhir VermaFabio Dennis WhiteMichael D. PatekYuk Wab Wong
    • Ghassan CHIDIACJayant R. KalagnanamMoninder SinghSudhir VermaFabio Dennis WhiteMichael D. PatekYuk Wab Wong
    • G06F15/18
    • G06Q10/087G06Q10/0875G06Q20/203
    • Automated mapping of part numbers associated with parts in a bill of materials (BOM) submitted by a BOM originator to internal part numbers assigned to those parts by a BOM receiver is performed by one or more computers connected to one or more networks through one or more network interfaces. A first receive component receives one or more data sets containing historical data on bills of materials received in the past by the BOM receiver. A second receive component receives one or more data sets containing known mappings between internal part numbers used by the BOM receiver, and part numbers used by various BOM originators. A third receive component receives one or more data sets containing information of various parameters and their values describing the parts to which the BOM receiver has assigned internal part numbers. A fourth receive component receives one or more methods of automatically learning models for predicting internal part numbers from the above mentioned historical BOM data, mapping data and part parametric data. A learning component learns the models from the data. A fifth receive component receives a BOM from a requesting process. The BOM has one or more parts with a missing internal part number. A mapping component applies the learned models to the received BOM to automatically determine internal part numbers for all unmapped BOM originator part numbers. A release process assigns internal part numbers to all unmapped parts in the BOM and releases the BOM to the requesting process.
    • 与由BOM发起者提交的材料清单(BOM)中的部件相关联的部件号与BOM接收器分配给这些部件的内部部件号的自动映射由一个或多个连接到一个或多个网络的计算机通过一个或多个 网络接口。 第一接收组件接收一个或多个数据集,其中包含由BOM接收机过去接收到的材料单上的历史数据。 第二接收组件接收一个或多个包含由BOM接收机使用的内部部件号之间的已知映射的数据集,以及由各种BOM发起者使用的部件号。 第三个接收组件接收包含各种参数信息的一个或多个数据集及其描述BOM接收机已分配内部部件号的部件的值。 第四接收组件接收一种或多种自动学习模型的方法,用于从上述历史BOM数据,映射数据和部分参数数据中预测内部部件号。 学习组件从数据中学习模型。 第五个接收组件从请求进程接收BOM。 BOM有一个或多个缺少内部零件号的零件。 映射组件将所学习的模型应用于接收到的BOM,以自动确定所有未映射BOM始发器部件号的内部部件号。 释放过程将内部部件号分配给BOM中的所有未映射部分,并将BOM释放到请求进程。
    • 4. 发明申请
    • System and method for automated part-number mapping
    • 用于自动部件号映射的系统和方法
    • US20050125311A1
    • 2005-06-09
    • US10727978
    • 2003-12-05
    • Ghassan ChidiacJayant KalagnanamMoninder SinghSudhir VermaFabio WhiteMichael PatekYuk Wong
    • Ghassan ChidiacJayant KalagnanamMoninder SinghSudhir VermaFabio WhiteMichael PatekYuk Wong
    • G06Q10/00G06F17/60
    • G06Q10/087G06Q10/0875G06Q20/203
    • Automated mapping of part numbers associated with parts in a bill of materials (BOM) submitted by a BOM originator to internal part numbers assigned to those parts by a BOM receiver is performed by one or more computers connected to one or more networks through one or more network interfaces. A first receive component receives one or more data sets containing historical data on bills of materials received in the past by the BOM receiver. A second receive component receives one or more data sets containing known mappings between internal part numbers used by the BOM receiver, and part numbers used by various BOM originators. A third receive component receives one or more data sets containing information of various parameters and their values describing the parts to which the BOM receiver has assigned internal part numbers. A fourth receive component receives one or more methods of automatically learning models for predicting internal part numbers from the above mentioned historical BOM data, mapping data and part parametric data. A learning component learns the models from the data. A fifth receive component receives a BOM from a requesting process. The BOM has one or more parts with a missing internal part number. A mapping component applies the learned models to the received BOM to automatically determine internal part numbers for all unmapped BOM originator part numbers. A release process assigns internal part numbers to all unmapped parts in the BOM and releases the BOM to the requesting process.
    • 与由BOM发起者提交的材料清单(BOM)中的部件相关联的部件号与BOM接收器分配给这些部件的内部部件号的自动映射由一个或多个连接到一个或多个网络的计算机通过一个或多个 网络接口。 第一接收组件接收一个或多个数据集,其中包含由BOM接收机过去接收到的材料单上的历史数据。 第二接收组件接收一个或多个包含由BOM接收机使用的内部部件号之间的已知映射的数据集,以及由各种BOM发起者使用的部件号。 第三个接收组件接收包含各种参数信息的一个或多个数据集及其描述BOM接收机已分配内部部件号的部件的值。 第四接收组件接收一种或多种自动学习模型的方法,用于从上述历史BOM数据,映射数据和部分参数数据中预测内部部件号。 学习组件从数据中学习模型。 第五个接收组件从请求进程接收BOM。 BOM有一个或多个缺少内部零件号的零件。 映射组件将所学习的模型应用于接收到的BOM,以自动确定所有未映射BOM始发器部件号的内部部件号。 释放过程将内部部件号分配给BOM中的所有未映射部分,并将BOM释放到请求进程。
    • 6. 发明申请
    • In-Memory Database Search Optimization Using Graph Community Structure
    • 使用图形社区结构进行内存数据库搜索优化
    • US20160117414A1
    • 2016-04-28
    • US14522239
    • 2014-10-23
    • Sudhir Verma
    • Sudhir Verma
    • G06F17/30
    • G06F17/30958G06F17/30312G06F17/30501
    • Database searching is optimized utilizing a graph community structure. A graph is created from transaction data based upon adjacent value occurrences. This may be done by scanning transaction data from top to bottom, and creating an edge between a current index value and a previous index value. Next, algorithms identify communities in the graph to create a graph community structure. These communities comprise blocks of patterns of similar value-ids distributed in the transaction data. Scanning and transition indices may be created with an eye toward reducing memory usage and enhancing performance. Query searching is then executed in an efficient manner on a per-community basis. For example, exact queries, range queries, and/or “AND” queries may be executed more efficiently upon communities of records, skipping those not belonging to the same community. Embodiments are suited to search an in-memory database having large volumes of column-oriented data stored in RAM.
    • 利用图形社区结构优化数据库搜索。 基于相邻值出现的事务数据创建图形。 这可以通过从上到下扫描事务数据,并在当前索引值和先前的索引值之间创建一个边。 接下来,算法识别图中的社区以创建图形社区结构。 这些社区包含分布在交易数据中的类似价值的模式块。 可以创建扫描和转换索引,以减少内存使用并提高性能。 然后在每个社区的基础上以有效的方式执行查询搜索。 例如,可以在记录社区上更有效地执行确切的查询,范围查询和/或“AND”查询,从而跳过不属于同一社区的用户。 实施例适用于搜索存储在RAM中的具有大量列数据的数据库。