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

US07406359B2 Method for calculating a transition preference value between first and second manufacturing object attributes 失效
标题翻译：用于计算第一和第二制造对象属性之间的转换偏好值的方法
公开(公告)号：US07406359B2
公开(公告)日：2008-07-29
申请号：US11382093
申请日：2006-05-08
申请人： George Roumeliotis , Jonathan Louis Knight
发明人： George Roumeliotis , Jonathan Louis Knight
IPC分类号： G06F19/00
CPC分类号： G06Q50/04 , G05B13/0265 , G05B2219/31396 , G06Q10/06 , Y02P90/30
摘要： An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.
摘要翻译：公开了一种使用自适应学习过程的生产计划系统的装置和方法。生产计划系统接收生产对象，其中每个生产对象具有至少一个属性。在一个实施例中，生产对象包括与要制造的产品有关的信息。收到生产对象后，根据生产对象的属性计算多个偏好分数。在一个实施例中，每个偏好分数表示从制造第一对象到第二对象的过渡的可取性。系统随后识别建议的生产计划，其包括响应于偏好分数的两个或更多个对象的顺序顺序。在一个实施例中，响应于由计划者对建议的生产设备的调整，自适应学习系统更新或修改规划偏好。

2. 发明申请

US20070073431A1 Method and Apparatus for Planning a Manufacturing Schedule Using an Adaptive Learning Process 失效
标题翻译：使用自适应学习过程计划制造计划的方法和装置
公开(公告)号：US20070073431A1
公开(公告)日：2007-03-29
申请号：US11382093
申请日：2006-05-08
申请人： George Roumeliotis , Jonathon Knight
发明人： George Roumeliotis , Jonathon Knight
IPC分类号： G06F19/00
CPC分类号： G06Q50/04 , G05B13/0265 , G05B2219/31396 , G06Q10/06 , Y02P90/30
摘要： An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.
摘要翻译：公开了一种使用自适应学习过程的生产计划系统的装置和方法。生产计划系统接收生产对象，其中每个生产对象具有至少一个属性。在一个实施例中，生产对象包括与要制造的产品有关的信息。收到生产对象后，根据生产对象的属性计算多个偏好分数。在一个实施例中，每个偏好分数表示从制造第一对象到第二对象的过渡的可取性。系统随后识别建议的生产计划，其包括响应于偏好分数的两个或更多个对象的顺序顺序。在一个实施例中，响应于由计划者对建议的生产设备的调整，自适应学习系统更新或修改规划偏好。

3. 发明申请

US20070005167A1 System and method for pro-active manufacturing performance management 审中-公开
标题翻译：主动制造业绩管理的制度和方法
公开(公告)号：US20070005167A1
公开(公告)日：2007-01-04
申请号：US11173120
申请日：2005-06-30
申请人： George Roumeliotis , Jonathan Knight , Meg Sharkey
发明人： George Roumeliotis , Jonathan Knight , Meg Sharkey
IPC分类号： G06F19/00
CPC分类号： G06Q10/06
摘要： A system and method of the present invention allows a user to monitor the production of a factory in real-time. The user inputs desired values for various performance metrics. Then an embodiment of the present invention analyzes manufacturing plans by directly accessing manufacturing planning software. Projections are calculated for each metric and the projections are compared to the desired values. A document is then created summarizing the desired values and the projections. The document may contain hyperlinks that enable a user to view details about any of the performance metrics. The document may also contain formatting that highlights various metrics for a variety of reasons, including the failure to meet a performance metric. The document also allows users to embed comments that are then forwarded to other users, as a means to allow collaboration from a plurality of users.
摘要翻译：本发明的系统和方法允许用户实时监控工厂的生产。用户为各种性能指标输入所需的值。然后，本发明的实施例通过直接访问制造计划软件来分析制造计划。对每个度量计算投影，并将投影与期望值进行比较。然后创建一个文档，总结所需的值和预测。该文档可能包含超链接，使用户能够查看关于任何性能指标的详细信息。该文档还可能包含由于各种原因而突出显示各种指标的格式，包括无法达到绩效指标。该文档还允许用户嵌入然后转发给其他用户的注释，作为允许来自多个用户的协作的手段。

4. 发明授权

US08645389B2 System and method for adaptive text recommendation 有权
标题翻译：自适应文本推荐的系统和方法
公开(公告)号：US08645389B2
公开(公告)日：2014-02-04
申请号：US11003920
申请日：2004-12-03
申请人： Jonathan James Oliver , Wray Lindsay Buntine , George Roumeliotis
发明人： Jonathan James Oliver , Wray Lindsay Buntine , George Roumeliotis
IPC分类号： G06F17/30
CPC分类号： G06F17/30598 , G06F17/3053 , G06F17/30675 , G06F17/3071 , G06F17/30867 , H04L51/18 , H04L67/02 , Y10S707/99935
摘要： Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing the text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time; for example, upon logging onto a web site or as the client views additional documents or pages of a website. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.
摘要翻译：网络系统提供具有与请求者设备的相关性的高统计度量的文档的实时自适应推荐集合。通过分析利益集合文件的文本，将这些文档分类为集群，提取代表群集中文档主题或概念的关键字，并对系统利用站点可访问的合格文档进行过滤，优化了推荐集，或互联网范围的搜索引擎。系统自动或手动调用，并实时开发和呈现推荐集; 例如，登录到网站或客户端查看网站的其他文档或页面时。推荐集可以呈现为问候，通知，警报，HTML片段，传真，语音邮件，或客户电子邮件，个人电子邮件，职位发布和出售或交换的报价的自动分类或路由。

5. 发明授权

US08572072B1 Classifying a financial transaction using a search engine 有权
标题翻译：使用搜索引擎分类金融交易
公开(公告)号：US08572072B1
公开(公告)日：2013-10-29
申请号：US13032534
申请日：2011-02-22
申请人： George Roumeliotis
发明人： George Roumeliotis
IPC分类号： G06F7/00 , G06Q30/00
CPC分类号： G06Q30/00 , G06F17/30707
摘要： A method involves classifying a financial transaction of an item. The method steps include receiving a text description of the item, processing the text description to generate a search term, selecting a set of named categories, conducting a first search for the search term and each named category, processing first results of the first search, calculating an affinity score for each named category, identifying a first target affinity score, identifying a target category from the set of named categories, presenting the text description and the target category, receiving feedback that the target category is incorrect, generating a revised set of named categories by removing the target category from the set of named categories, conducting a second search for the search term and each of the revised set of named categories, and presenting a revised target category.
摘要翻译：一种方法涉及对项目的金融交易进行分类。所述方法步骤包括接收所述项目的文本描述，处理所述文本描述以生成搜索项，选择一组命名类别，对所述搜索项和每个命名类进行第一搜索，处理所述第一搜索的第一结果，计算每个命名类别的亲和度分数，识别第一目标亲和度分数，从所述命名类别集合识别目标类别，呈现文本描述和目标类别，接收目标类别不正确的反馈，生成修订的通过从指定类别集中移除目标类别，对搜索项和每个修改后的命名类别进行第二次搜索，并呈现修订的目标类别，从而命名类别。

6. 发明申请

US20080189253A1 System And Method for Adaptive Text Recommendation 有权
标题翻译：自适应文本推荐系统与方法
公开(公告)号：US20080189253A1
公开(公告)日：2008-08-07
申请号：US11927450
申请日：2007-10-29
申请人： Jonathan James Oliver , Wray Lindsay Buntine , George Roumeliotis
发明人： Jonathan James Oliver , Wray Lindsay Buntine , George Roumeliotis
IPC分类号： G06F17/30
CPC分类号： G06F17/30598 , G06F17/3053 , G06F17/30675 , G06F17/3071 , G06F17/30867 , H04L51/18 , H04L67/02 , Y10S707/99935
摘要： Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.
摘要翻译：网络系统提供具有与请求者设备的相关性的高统计度量的文档的实时自适应推荐集合。该建议集是基于分析兴趣集文档的文本进行优化的，将这些文档分类成群集，提取代表群集中文档主题或概念的关键字，以及过滤可利用站点的系统可访问的群体，或互联网搜索引擎。系统自动或手动调用，并开发并实时提出建议。推荐集可以呈现为问候，通知，警报，HTML片段，传真，语音邮件，或客户电子邮件，个人电子邮件，职位发布和出售或交换的报价的自动分类或路由。

7. 发明申请

US20080140244A1 Method and apparatus for planning a manufacturing schedule using an adaptive learning process 有权
标题翻译：使用自适应学习过程来规划制造计划的方法和装置
公开(公告)号：US20080140244A1
公开(公告)日：2008-06-12
申请号：US12010476
申请日：2008-01-25
申请人： George Roumeliotis , Jonathon Louis Knight
发明人： George Roumeliotis , Jonathon Louis Knight
IPC分类号： G05B13/02
CPC分类号： G06Q50/04 , G05B13/0265 , G05B2219/31396 , G06Q10/06 , Y02P90/30
摘要： An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives, production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.
摘要翻译：公开了一种使用自适应学习过程的生产计划系统的装置和方法。生产计划系统接收其中每个生产对象具有至少一个属性的生产对象。在一个实施例中，生产对象包括与要制造的产品有关的信息。收到生产对象后，根据生产对象的属性计算多个偏好分数。在一个实施例中，每个偏好分数表示从制造第一对象到第二对象的过渡的可取性。系统随后识别建议的生产计划，其包括响应于偏好分数的两个或更多个对象的顺序顺序。在一个实施例中，响应于由计划者对建议的生产设备的调整，自适应学习系统更新或修改规划偏好。

8. 发明授权

US07043320B1 Method and apparatus for planning a manufacturing schedule using an adaptive learning process 失效
标题翻译：使用自适应学习过程来规划制造计划的方法和装置
公开(公告)号：US07043320B1
公开(公告)日：2006-05-09
申请号：US10846204
申请日：2004-05-14
申请人： George Roumeliotis , Jonathon Louis Knight
发明人： George Roumeliotis , Jonathon Louis Knight
IPC分类号： G06F19/00
CPC分类号： G06Q50/04 , G05B13/0265 , G05B2219/31396 , G06Q10/06 , Y02P90/30
摘要： An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.
摘要翻译：公开了一种使用自适应学习过程的生产计划系统的装置和方法。生产计划系统接收生产对象，其中每个生产对象具有至少一个属性。在一个实施例中，生产对象包括与要制造的产品有关的信息。收到生产对象后，根据生产对象的属性计算多个偏好分数。在一个实施例中，每个偏好分数表示从制造第一对象到第二对象的过渡的可取性。系统随后识别建议的生产计划，其包括响应于偏好分数的两个或更多个对象的顺序顺序。在一个实施例中，响应于由计划者对建议的生产设备的调整，自适应学习系统更新或修改规划偏好。

9. 发明授权

US09245013B2 Message recommendation using word isolation and clustering 有权
标题翻译：消息推荐使用单词隔离和聚类
公开(公告)号：US09245013B2
公开(公告)日：2016-01-26
申请号：US11927450
申请日：2007-10-29
申请人： Jonathan James Oliver , Wray Lindsay Buntine , George Roumeliotis
发明人： Jonathan James Oliver , Wray Lindsay Buntine , George Roumeliotis
IPC分类号： G06F17/30
CPC分类号： G06F17/30598 , G06F17/3053 , G06F17/30675 , G06F17/3071 , G06F17/30867 , H04L51/18 , H04L67/02 , Y10S707/99935
摘要： Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.
摘要翻译：网络系统提供具有与请求者设备的相关性的高统计度量的文档的实时自适应推荐集合。该建议集是基于分析兴趣集文档的文本进行优化的，将这些文档分类成群集，提取代表群集中文档主题或概念的关键字，以及过滤可利用站点的系统可访问的群体，或互联网搜索引擎。系统自动或手动调用，并开发并实时提出建议。推荐集可以呈现为问候，通知，警报，HTML片段，传真，语音邮件，或客户电子邮件，个人电子邮件，职位发布和出售或交换的报价的自动分类或路由。

10. 发明授权

US07818082B2 Method and apparatus for planning a manufacturing schedule using an adaptive learning process 有权
标题翻译：使用自适应学习过程来规划制造计划的方法和装置
公开(公告)号：US07818082B2
公开(公告)日：2010-10-19
申请号：US12010476
申请日：2008-01-25
申请人： George Roumeliotis , Jonathan Louis Knight
发明人： George Roumeliotis , Jonathan Louis Knight
IPC分类号： G06F19/00
CPC分类号： G06Q50/04 , G05B13/0265 , G05B2219/31396 , G06Q10/06 , Y02P90/30
摘要： An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives, production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.
摘要翻译：公开了一种使用自适应学习过程的生产计划系统的装置和方法。生产计划系统接收其中每个生产对象具有至少一个属性的生产对象。在一个实施例中，生产对象包括与要制造的产品有关的信息。收到生产对象后，根据生产对象的属性计算多个偏好分数。在一个实施例中，每个偏好分数表示从制造第一对象到第二对象的过渡的可取性。系统随后识别建议的生产计划，其包括响应于偏好分数的两个或更多个对象的顺序顺序。在一个实施例中，响应于由计划者对建议的生产设备的调整，自适应学习系统更新或修改规划偏好。

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