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公开(公告)号：US20190268283A1
公开(公告)日：2019-08-29
申请号：US15903267
申请日：2018-02-23
IPC分类号： H04L12/911 , H04L12/917 , H04L29/08 , H04L12/24 , G06F15/18
摘要： Methods, systems and computer program products for resource demand prediction are provided herein. A computer-implemented method includes obtaining historical data logs for activities performed in a distributed service network, the distributed service network comprising a plurality of locations. The method also includes identifying factors influencing resource demand for the distributed service network, determining one or more constraints for specifying activity sequence ordering for activities performed in the distributed service network and generating a statistical model of the distributed service network utilizing the historical data logs, the identified factors and the determined constraints. The method further includes utilizing the statistical model of the distributed service network to determine estimated resource demand for responding to one or more detected outages in the distributed service network, the estimated resource demand being used to allocate resources to the plurality of locations in the distributed service network to respond to the one or more detected outages.
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公开(公告)号：US20190072320A1
公开(公告)日：2019-03-07
申请号：US15696306
申请日：2017-09-06
发明人： UMAMAHESWARI DEVI , NICHOLAS ETTLINGER , Jacob T. Griffith , Benjamin Grisz , Jagabondhu Hazra , Kedar Kulkarni , Amith Singhee
摘要： Embodiments of the present invention disclose a method, a computer program product, and a computer system for predictive maintenance of refrigeration cases. A computer collects a temperature time series for a refrigeration case and, based on the temperature time series, learns a refrigeration case signature for both non-frost and defrost cycles. The computer generates features based on the refrigeration case signature and compares the refrigeration case signature to real time, or observed, temperatures and features using a rule-based and/or machine learning framework. Based on determining that the real time data varies beyond a threshold from the refrigeration case signature, the computer identifies a failure symptom of the refrigeration case and diagnoses a root cause of the symptom or failure. In addition, the computer may activate an alarm and open a work order corresponding to the root cause of the symptom or failure.
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公开(公告)号：US20160307138A1
公开(公告)日：2016-10-20
申请号：US15075603
申请日：2016-03-21
发明人： Fook-Luen Heng , Zhiguo Li , Stuart A. Siegel , Amith Singhee , Haijing Wang
CPC分类号： G06N99/005 , G01W1/10 , G06N5/04 , G06N7/005 , G06Q10/06315
摘要： A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
摘要翻译： 描述了用于资源管理的方法，系统和计算机程序产品。 该方法包括：选择服务区内的故障区域，生成群集区域，并针对每种类型的损坏对故障区域进行故障预测模型的训练;对每个故障区域进行训练，使用与该区域内相关联的群集区域内的每个故障区域的训练数据 麻烦地区。 该方法还包括针对每种类型的损伤对服务区域内的每个故障区域应用故障预测模型，基于针对服务中的每个故障区域的故障预测来确定针对每种类型的损坏的服务区域的故障预测 区域，并且基于针对服务区域的故障预测确定服务区域的作业预测，其中所述管理资源基于所述服务区域的作业预测。
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54.发明授权Analysis of chip-mean variation and independent intra-die variation for chip yield determination 有权芯片平均变化分析和芯片产量测定的独立模内变化公开(公告)号：US09147031B2
公开(公告)日：2015-09-29
申请号：US13755726
申请日：2013-01-31
发明人： Carl J. Radens , Amith Singhee
CPC分类号： G06F17/5081 , G06F17/5036 , G06F2217/10 , G11C29/56008
摘要： Systems and methods for determining a chip yield are disclosed. One system includes a first level integration solver and a second level integration solver. The first level integration solver is configured to obtain a first probability distribution function modeling variations within a chip and to perform a discontinuous first level integration with the first probability distribution function. In addition, the second level integration solver is implemented by a hardware processor and is configured to perform a continuous second level integration based on a second probability distribution function modeling variations between dies to determine the chip yield.
摘要翻译： 公开了用于确定芯片产量的系统和方法。 一个系统包括第一级积分求解器和第二级积分求解器。 第一级积分求解器被配置为获得对芯片内的变化进行建模的第一概率分布函数，并执行与第一概率分布函数的不连续的第一级积分。 此外，第二级集成解算器由硬件处理器实现，并且被配置为基于模具之间的变化建模的第二概率分布函数来执行连续的第二级集成以确定芯片产量。
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