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1. 发明授权

US07685544B2 Testing pattern sensitive algorithms for semiconductor design 有权
标题翻译：用于半导体设计的测试模式敏感算法
公开(公告)号：US07685544B2
公开(公告)日：2010-03-23
申请号：US11947254
申请日：2007-11-29
申请人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
发明人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
IPC分类号： G06F17/50
CPC分类号： G03F1/44 , G03F1/36
摘要： A computer program product for generating test patterns for a pattern sensitive algorithm. The program product includes code for extracting feature samples from a layout design; grouping feature samples into clusters; selecting at least one area from the layout design that covers a feature sample from each cluster; and saving each pattern layout covered by the at least one area as test patterns.
摘要翻译：一种用于生成模式敏感算法的测试模式的计算机程序产品。程序产品包括从布局设计中提取特征样本的代码; 将特征样本分组成簇; 从布局设计中选择至少一个覆盖每个聚类的特征样本的区域; 并且将至少一个区域覆盖的每个模式布局保存为测试模式。

2. 发明授权

US08201132B2 System and method for testing pattern sensitive algorithms for semiconductor design 失效
标题翻译：用于半导体设计测试模式敏感算法的系统和方法
公开(公告)号：US08201132B2
公开(公告)日：2012-06-12
申请号：US12631899
申请日：2009-12-07
申请人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
发明人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
IPC分类号： G06F17/50
CPC分类号： G03F1/44 , G03F1/36
摘要： A system and method for generating test patterns for a pattern sensitive algorithm. The method comprises the steps extracting feature samples from a layout design; grouping feature samples into clusters; selecting at least one area from the layout design that covers a feature sample from each cluster; and saving each pattern layout covered by the at least one area as test patterns.
摘要翻译：一种用于生成模式敏感算法的测试模式的系统和方法。该方法包括从布局设计中提取特征样本的步骤; 将特征样本分组成簇; 从布局设计中选择至少一个覆盖每个聚类的特征样本的区域; 并且将至少一个区域覆盖的每个模式布局保存为测试模式。

3. 发明申请

US20100095254A1 SYSTEM AND METHOD FOR TESTING PATTERN SENSITIVE ALGORITHMS FOR SEMICONDUCTOR DESIGN 失效
标题翻译：用于测试半导体设计的模式敏感算法的系统和方法
公开(公告)号：US20100095254A1
公开(公告)日：2010-04-15
申请号：US12631899
申请日：2009-12-07
申请人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
发明人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
IPC分类号： G06F17/50
CPC分类号： G03F1/44 , G03F1/36
摘要： A system and method for generating test patterns for a pattern sensitive algorithm. The method comprises the steps extracting feature samples from a layout design; grouping feature samples into clusters; selecting at least one area from the layout design that covers a feature sample from each cluster; and saving each pattern layout covered by the at least one area as test patterns.
摘要翻译：一种用于生成模式敏感算法的测试模式的系统和方法。该方法包括从布局设计中提取特征样本的步骤; 将特征样本分组成簇; 从布局设计中选择至少一个覆盖每个聚类的特征样本的区域; 并且将至少一个区域覆盖的每个模式布局保存为测试模式。

4. 发明授权

US07353472B2 System and method for testing pattern sensitive algorithms for semiconductor design 有权
标题翻译：用于半导体设计测试模式敏感算法的系统和方法
公开(公告)号：US07353472B2
公开(公告)日：2008-04-01
申请号：US11202591
申请日：2005-08-12
申请人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
发明人： David L. DeMaris , Timothy G. Dunham , William C. Leipold , Daniel N. Maynard , Michael E. Scaman , Shi Zhong
IPC分类号： G06F17/50
CPC分类号： G03F1/44 , G03F1/36
摘要： A system and method for generating test patterns for a pattern sensitive algorithm. The method comprises the steps extracting feature samples from a layout design; grouping feature samples into clusters; selecting at least one area from the layout design that covers a feature sample from each cluster; and saving each pattern layout covered by the at least one area as test patterns.
摘要翻译：一种用于生成模式敏感算法的测试模式的系统和方法。该方法包括从布局设计中提取特征样本的步骤; 将特征样本分组成簇; 从布局设计中选择至少一个覆盖每个聚类的特征样本的区域; 并且将至少一个区域覆盖的每个模式布局保存为测试模式。

5. 发明授权

US08374906B1 Method and system for generating pricing recommendations 有权
标题翻译：产生定价建议的方法和系统
公开(公告)号：US08374906B1
公开(公告)日：2013-02-12
申请号：US12241782
申请日：2008-09-30
申请人： Loren Williams , Xingchu Liu , Reetabrata Mookherjee , Shi Zhong
发明人： Loren Williams , Xingchu Liu , Reetabrata Mookherjee , Shi Zhong
IPC分类号： G06Q99/00
CPC分类号： G06Q30/02
摘要： To determine pricing recommendations for goods and service products in a business-to-business environment, a set of transaction data corresponding to a set of products are processed to generate a set of pricing recommendations optimized according to an objective. Furthermore, a set of product segments may be determined, transaction data may be associated with one or more of the product segments and a demand model and associated price elasticity may be formulated for one or more of the product segments based upon the transaction data associated with the segment. Using these formulated price elasticities, pricing recommendations for each product may be determined for each of a set of customers. Using an optimization process, price elasticities are used to determine price dependent entity goals for any combination of products, customers and sets of prices, using a mathematical objective function.
摘要翻译：为了在企业对企业环境中确定商品和服务产品的定价建议，将处理与一组产品相对应的一组交易数据，以生成根据目标优化的一组定价建议。此外，可以确定一组产品段，交易数据可以与产品段中的一个或多个相关联，并且可以基于与...相关联的交易数据为一个或多个产品段制定需求模型和相关联的价格弹性该段。使用这些制定的价格弹性，可以为一组客户中的每一个确定每个产品的定价建议。使用优化过程，使用价格弹性来使用数学目标函数来确定产品，客户和价格集合的任何组合的价格依赖实体目标。

6. 发明申请

US20100257022A1 Finding Similar Campaigns for Internet Advertisement Targeting 审中-公开
标题翻译：为互联网广告定位寻找类似的广告系列
公开(公告)号：US20100257022A1
公开(公告)日：2010-10-07
申请号：US12419923
申请日：2009-04-07
申请人： Jinlin Wang , Xia Wan , Weiguo Liu , Shi Zhong
发明人： Jinlin Wang , Xia Wan , Weiguo Liu , Shi Zhong
IPC分类号： G06Q30/00 , G06F17/30 , G06F17/27
CPC分类号： G06Q30/02 , G06Q30/0201 , G06Q30/0242 , G06Q30/0243 , G06Q30/0277
摘要： Disclosed are methods and apparatus for analyzing campaigns in order to identify similar campaigns are disclosed. In one embodiment, an ad campaign associated with an advertiser is identified. Ad campaign information associated with ad campaigns previously booked by an online publisher is analyzed to identify one or more of the ad campaigns previously booked by the online publisher that are similar to the ad campaign. The ad campaign information for each of the ad campaigns identifies one or more products of the online publisher. The ad campaign information may be processed by applying natural language processing (NLP) to at least a portion of the ad campaign information associated with the ad campaigns previously booked by the online publisher. At least one of the products of the online publisher to recommend to the advertiser are ascertained from the ad campaign information for the one or more ad campaigns previously booked by the online publisher that are similar to the ad campaign.
摘要翻译：公开了为了识别类似的活动而分析运动的方法和装置。在一个实施例中，识别与广告商相关联的广告活动。与在线发布商先前预订的广告系列相关联的广告系列信息进行分析，以确定以前在线发布商预订的与广告系列相似的一个或多个广告系列。每个广告系列的广告系列信息都标识了在线发布商的一个或多个产品。可以通过将自然语言处理（NLP）应用于与在线发行商预先预定的广告活动相关联的至少一部分广告活动信息来处理广告活动信息。根据与在线发布商预订的一个或多个类似于广告系列的一个或多个广告系列的广告系列信息，确定向广告客户推荐的至少一个在线发布商的产品。

7. 发明申请

US20090222316A1 METHOD TO TAG ADVERTISER CAMPAIGNS TO ENABLE SEGMENTATION OF UNDERLYING INVENTORY 审中-公开
标题翻译：广告客户招标的方法能够使分类不足的库存
公开(公告)号：US20090222316A1
公开(公告)日：2009-09-03
申请号：US12039566
申请日：2008-02-28
申请人： Raghav Boinepalli , Brad Smallwood , Madhu Vudali , Shi Zhong
发明人： Raghav Boinepalli , Brad Smallwood , Madhu Vudali , Shi Zhong
IPC分类号： G06Q10/00 , G06Q30/00
CPC分类号： G06Q10/00 , G06Q30/00 , G06Q30/0201 , G06Q30/0204 , G06Q30/0243
摘要： A method and system for enabling segmentation of advertising inventory for an advertisement campaign includes capturing a plurality of requirements for an advertisement campaign. The campaign requirements include a descriptive tag that uniquely identifies the advertisement campaign. The requirements include a plurality of campaign attributes that define the requirements of the advertisement campaign including target audience and advertisement campaign objective. A tag inventory, with a plurality of descriptive tags and a plurality of advertisement bookings associated with one or more of the descriptive tags, is analyzed based on the captured advertisement campaign requirements. A recommended suggestion of bookings based on the analysis is presented. The recommended suggestion of bookings matches at least a portion of the campaign attributes. A media plan is finalized for the advertisement campaign based on a response received for the recommended suggestion of bookings, the response defines the relevancy of the recommended suggestion of bookings.
摘要翻译：一种用于对广告活动广告库存进行分段的方法和系统包括捕获广告活动的多个要求。活动要求包括唯一标识广告活动的描述性标签。这些要求包括定义广告活动的要求的多个活动属性，包括目标受众和广告活动目标。基于所捕获的广告活动要求，分析具有多个描述性标签和与一个或多个描述性标签相关联的多个广告预订的标签库存。提出了基于分析的推荐建议建议。推荐的预约建议与至少一部分广告系列属性相匹配。根据针对推荐的预订建议收到的回复，为广告活动确定了媒体计划，响应定义了推荐建议建议的相关性。

8. 发明申请

US20090006363A1 Granular Data for Behavioral Targeting 有权
标题翻译：行为定位的粒度数据
公开(公告)号：US20090006363A1
公开(公告)日：2009-01-01
申请号：US11770413
申请日：2007-06-28
申请人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
发明人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.
摘要翻译：定向的方法接收几个粒度事件并预处理所接收的粒状事件，从而生成预处理的数据，以便于基于粒状事件构建模型。该方法通过使用预处理数据生成预测模型。预测模型用于确定用户动作的可能性。该方法训练预测模式。用于定位的系统包括粒状事件，用于接收粒度事件的预处理器，模型生成器和模型。预处理器具有一个或多个用于修剪，聚合，聚类和/或过滤中的至少一个的模块。模型生成器用于基于粒度事件构建模型，模型用于确定用户操作的可能性。一些实施例的系统还包括若干用户，用于从几个用户中选择特定用户组的选择器，训练模型和评分模块。

9. 发明授权

US08970179B2 Method, device and circuit for charging multiple battery packs of an energy storage system 有权
标题翻译：用于为能量存储系统的多个电池组充电的方法，装置和电路
公开(公告)号：US08970179B2
公开(公告)日：2015-03-03
申请号：US13496919
申请日：2010-09-16
申请人： Shi Zhong
发明人： Shi Zhong
IPC分类号： H01M10/46 , H02J7/35 , H01M10/44 , H02J7/00
CPC分类号： H02J7/35 , H01M10/441 , H02J7/0013 , H02J7/0077 , H02J7/0093 , Y02E10/566
摘要： A method for charging multiple battery packs is disclosed, which comprises the steps of providing full output power of the power conversion unit to a first battery pack in a charging cycle at the control of a first control signal; monitoring in real-time the charging acceptance of the first battery pack and when the charging acceptance detected is less than the available full output power of the power conversion unit, charging a second battery pack by the remaining output power, i.e. the output power difference between the full available output power and the charging acceptance of the first patent pack, at the control of a second control signal. The service life of battery is extended and the efficiency of the PV module is increased in the system where in the method is implemented. A device for charging multiple battery packs is also disclosed.
摘要翻译：公开了一种对多个电池组充电的方法，包括以下步骤：在第一控制信号的控制下，以充电周期向第一电池组提供功率转换单元的全输出功率; 实时监测第一电池组的充电接受，并且当检测到的充电验收小于电力转换单元的可用的全部输出功率时，通过剩余的输出功率对第二电池组进行充电，即，将第二电池组的输出功率差在第二控制信号的控制下，全部可用的输出功率和第一专利组的充电接受。电池的使用寿命延长，在实施该方法的系统中PV模块的效率提高。还公开了一种用于对多个电池组充电的装置。

10. 发明申请

US20110131160A1 Method and System for Generating A Linear Machine Learning Model for Predicting Online User Input Actions 有权
标题翻译：用于生成用于预测在线用户输入操作的线性机器学习模型的方法和系统
公开(公告)号：US20110131160A1
公开(公告)日：2011-06-02
申请号：US13018303
申请日：2011-01-31
申请人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
发明人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
IPC分类号： G06F15/18
CPC分类号： G06Q30/02
摘要： A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.
摘要翻译：定向的方法接收几个粒度事件并预处理所接收的粒状事件，从而生成预处理的数据，以便于基于粒状事件构建模型。该方法通过使用预处理数据生成预测模型。预测模型用于确定用户动作的可能性。该方法训练预测模型。用于定位的系统包括粒状事件，用于接收粒度事件的预处理器，模型生成器和模型。预处理器具有一个或多个用于修剪，聚合，聚类和/或过滤中的至少一个的模块。模型生成器用于基于粒度事件构建模型，模型用于确定用户操作的可能性。一些实施例的系统还包括若干用户，用于从几个用户中选择特定用户组的选择器，训练模型和评分模块。

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