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公开(公告)号：US10558206B2
公开(公告)日：2020-02-11
申请号：US15590602
申请日：2017-05-09
发明人： Harish Bharti , Abhay K. Patra , Pranshu Tiwari , Saurabh Trehan
摘要： A method collects from at least one power measuring device of an environment power consumption data indicating active power consumption during a timeframe by an electrical device in the environment. The method also collects operating parameter data indicating at least one operating parameter under which the electrical device operates during at least a portion of the timeframe. The method performs, based on observing an increase in power consumption of the electrical device during the timeframe, assessing extents of contribution by potential contributing factors to the increase in power consumption, the potential contributing factors including time-based degradation of the electrical device and the at least one operating parameter. The method outputs, based on the assessing, an indication of an extent of contribution of degradation of the electrical device to the increase in power consumption.
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12.发明申请DETERMINING AN OPTIMAL PAYMENT INSTRUMENT BY A CLOUD-ENABLED MOBILE PAYMENT SERVICE 审中-公开通过云端移动支付服务确定最优付款仪器公开(公告)号：US20160224965A1
公开(公告)日：2016-08-04
申请号：US14613600
申请日：2015-02-04
发明人： Deepak Chauhan , Pranshu Tiwari , Saurabh Trehan
CPC分类号： G06Q20/227 , G06Q20/3278 , G06Q20/36 , G06Q20/363 , G06Q20/405
摘要： An approach is provided for determining an optimal payment instrument. A computer in a system configured in one of four predetermined cloud-based models updates a database with details about account balances and rewards provided by a customer's multiple accounts specifying payment instruments. A request is received from a near field communication enabled mobile device to purchase an item from a retailer. The request includes identifications of the retailer and the item. Based on the identifications, details about the account balances and rewards are retrieved from the database. Based on the details about the account balances and rewards, rules are applied and the optimal payment instrument is determined. A display of the optimal payment instrument to the customer is initiated. The optimal payment instrument is selected and a payment for the item by the optimal payment instrument is initiated.
摘要翻译： 提供了一种用于确定最佳付款工具的方法。 在四个预定的基于云的模型之一中配置的系统中的计算机更新数据库，其中包含由客户指定支付工具的多个帐户提供的帐户余额和奖励的详细信息。 从接近场通信的移动设备接收到从零售商购买物品的请求。 该请求包括零售商和物品的标识。 根据标识，从数据库检索帐户余额和奖励的详细信息。 根据帐户余额和奖励的细节，应用规则，确定最优付款方式。 开始向客户显示最佳支付工具。 选择最佳付款工具，并启动最佳支付工具对该项目的支付。
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公开(公告)号：US20240220889A1
公开(公告)日：2024-07-04
申请号：US18090963
申请日：2022-12-29
IPC分类号： G06Q10/0631 , G06F18/23213
CPC分类号： G06Q10/06313 , G06F18/23213
摘要： An end-to-end framework that provides for pair programming can determine a project intent. Programming requirements needed to fulfill the project intent can be identified. The programming requirements can be reduced into lower dimensions. The reduced programming requirements can be clustered into clusters. A common theme can be identified in each of the clusters. From at least one of the clusters having a common theme corresponding to the programming requirements, feasible pairs of developers can be selected. At least one optimal pair of developers can be determined among the feasible pairs using an optimization algorithm that optimizes the project intent.
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公开(公告)号：US20230401462A1
公开(公告)日：2023-12-14
申请号：US17664057
申请日：2022-05-19
发明人： Saurabh Trehan , Pranshu Tiwari , Harish Bharti
IPC分类号： G06N5/02
摘要： A method for a predictive insulation condition-based recommendation policy includes determining a present insulation level for an insulation layer on a cable providing power to an electronic device based on a current leakage test. The method also includes determining a current leakage and a confidence score for the insulation layer on the cable providing power to the electronic device utilizing a supervised machine learning model. The method also includes generating a decision framework for the electronic device based on the current leakage and the confidence score in response to determining to perform an action based on the decision framework for the electronic device, the method also includes performing the action based on the decision framework to address the current leakage for the insulation layer on the cable providing power to an electronic device.
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15.发明授权公开(公告)号：US11810209B2
公开(公告)日：2023-11-07
申请号：US17089759
申请日：2020-11-05
摘要： A method, a computer system, and a computer program product for restoration time predictions and optimized recovery solutions is provided. Embodiments of the present invention may include selecting a dataset based on time series data. Embodiments of the present invention may include building one or more models, wherein the one or more models include a classification and regression tree model, a cross validated decision tree model or a bootstrap aggregating model. Embodiments of the present invention may include selecting a model for predictions using decision trees to reduce a variance of the model. Embodiments of the present invention may include rebuilding the model based on additional data attributes. Embodiments of the present invention may include determining an outage prioritization for each outage node. Embodiments of the present invention may include transmitting results of the outage prioritization.
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公开(公告)号：US20230132337A1
公开(公告)日：2023-04-27
申请号：US17511976
申请日：2021-10-27
发明人： Pranshu Tiwari , Saurabh Trehan , Raghava Venkat , Balakrishnan Sreenivasan , Renny I John , Harish Bharti
摘要： A method includes using, by one or more processors of a computer system, a cognitive model to estimate software development parameters for a software development project based on one or more similar past projects, and automatically assigning, by the one or more processors of the computer system, story points to sprints of the software development project based on the estimated software development parameters.
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17.发明申请公开(公告)号：US20220138871A1
公开(公告)日：2022-05-05
申请号：US17089759
申请日：2020-11-05
摘要： A method, a computer system, and a computer program product for restoration time predictions and optimized recovery solutions is provided. Embodiments of the present invention may include selecting a dataset based on time series data. Embodiments of the present invention may include building one or more models, wherein the one or more models include a classification and regression tree model, a cross validated decision tree model or a bootstrap aggregating model. Embodiments of the present invention may include selecting a model for predictions using decision trees to reduce a variance of the model. Embodiments of the present invention may include rebuilding the model based on additional data attributes. Embodiments of the present invention may include determining an outage prioritization for each outage node. Embodiments of the present invention may include transmitting results of the outage prioritization.
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公开(公告)号：US11093229B2
公开(公告)日：2021-08-17
申请号：US16749465
申请日：2020-01-22
摘要： A failure rate model modeling a failure rate of a training functionality deployment in a training set of functionality deployments is constructed. The failure rate model is configured to receive functionality deployment data and output a corresponding failure rate prediction. Using the failure rate model, a set of functionality deployment failure rates is predicted, a functionality deployment failure rate in the set of functionality deployment failure rates corresponding to an upcoming functionality deployment. Using the set of functionality deployment failure rates, a deployment sequence of the set of upcoming functionality deployments is constructed to minimize a predicted overall failure rate of the set of upcoming functionality deployments. The deployment of each functionality deployment in the set of upcoming functionality deployments is caused, the deployment comprising activating the upcoming functionality program code according to the deployment sequence.
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