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    • 1. 发明授权
    • Computationally efficient system for developing configurable, extensible GUI for database centric enterprise business applications
    • 用于开发面向数据库的企业业务应用程序的可配置的可扩展GUI的计算高效系统
    • US09116709B2
    • 2015-08-25
    • US13380681
    • 2010-08-31
    • Rahul MohanVinay Kulkarni
    • Rahul MohanVinay Kulkarni
    • G06F3/00G06F9/44
    • G06F8/38G06F8/34G06F8/35
    • The present invention provides a computationally efficient system and method for developing extensible and configurable Graphical User Interfaces (GUIs) for Database-centric Business application Product Lines using model driven techniques and also reduce the cost as well as time for creating new GUIs for Database-centric Business application Product Lines that enables effective maintenance and smooth evolution using model driven technique. The invention provides modeling of commonality and variability of GUI thus leading to a single GUI for Database-centric Business application Product Lines. The invention enables a model-based solution to address extensibility and configurability of both structural and behavioral aspects in a GUI of Database-centric Business application Product Lines and it also support to realize variations at runtime in the presentation layer by using the variable fields which can check the configuration data from a configuration database and decide whether to render itself or not.
    • 本发明提供了一种计算有效的系统和方法,用于使用模型驱动技术开发用于以数据库为中心的业务应用产品线的可扩展和可配置的图形用户界面(GUI),并且还降低了创建用于以数据库为中心的新GUI的成本以及时间 业务应用产品线,使用模型驱动技术实现有效的维护和平稳演进。 本发明提供GUI的通用性和可变性的建模,从而导致用于以数据库为中心的业务应用产品线的单个GUI。 本发明使得基于模型的解决方案能够解决以数据库为中心的业务应用产品线的GUI中的结构和行为方面的可扩展性和可配置性,并且还支持通过使用可变字段来实现表示层中运行时的变化 检查配置数据库中的配置数据,并决定是否自己呈现。
    • 2. 发明申请
    • Computationally Efficient System for Developing Configurable, Extensible Gul for Database Centric Enterprise Business Applications
    • 用于开发可配置,可扩展数据库的计算高效系统,用于以数据库为中心的企业业务应用程序
    • US20120179987A1
    • 2012-07-12
    • US13380681
    • 2010-08-31
    • Rahul MohanVinay Kulkarni
    • Rahul MohanVinay Kulkarni
    • G06F3/00
    • G06F8/38G06F8/34G06F8/35
    • The present invention provides a computationally efficient system and method for developing extensible and configurable Graphical User Interfaces (GUIs) for Database-centric Business application Product Lines using model driven techniques and also reduce the cost as well as time for creating new GUIs for Database-centric Business application Product Lines that enables effective maintenance and smooth evolution using model driven technique. The invention provides modeling of commonality and variability of GUI thus leading to a single GUI for Database-centric Business application Product Lines. The invention enables a model-based solution to address extensibility and configurability of both structural and behavioral aspects in a GUI of Database-centric Business application Product Lines and it also support to realize variations at runtime in the presentation layer by using the variable fields which can check the configuration data from a configuration database and decide whether to render itself or not.
    • 本发明提供了一种计算有效的系统和方法,用于使用模型驱动技术开发用于以数据库为中心的业务应用产品线的可扩展和可配置的图形用户界面(GUI),并且还降低了创建用于以数据库为中心的新GUI的成本以及时间 业务应用产品线,使用模型驱动技术实现有效的维护和平滑演进。 本发明提供GUI的通用性和可变性的建模,从而导致用于以数据库为中心的业务应用产品线的单个GUI。 本发明使得基于模型的解决方案能够解决以数据库为中心的业务应用产品线的GUI中的结构和行为方面的可扩展性和可配置性,并且还支持通过使用可变字段来实现表示层中运行时的变化 检查配置数据库中的配置数据,并决定是否自己呈现。
    • 3. 发明申请
    • Solar Energy Disaggregation Techniques for Whole-House Energy Consumption Data
    • 全能耗数据的太阳能分解技术
    • US20150142347A1
    • 2015-05-21
    • US14543805
    • 2014-11-17
    • Rahul MohanHsien-Teng ChengAbhay GuptaYe HeVivek Garud
    • Rahul MohanHsien-Teng ChengAbhay GuptaYe HeVivek Garud
    • G01R21/133G01W1/10
    • G01R21/133G01W1/10H02S50/00
    • Systems and methods of the present invention are directed to disaggregating the contribution of solar panels from a whole house energy profile. Methods of disaggregating energy produced by solar panels from low frequency whole-house energy consumption data for a specific house, may include steps of: predicting solar energy generation for the specific house by estimating a solar capacity of the solar panels, predicting solar intensity associated with the specific house, and multiplying estimated solar capacity with predicted solar intensity; and subtracting the predicted solar energy generation from the low frequency whole house energy consumption data, thereby disaggregating the contribution of energy produced by the solar panels. Computerized systems of the same may apply machine learning models such as radial basis function, support vector, or neural network machines.
    • 本发明的系统和方法旨在分解太阳能电池板与整个房屋能量分布的贡献。 将太阳能电池板产生的能量分解为特定房屋的低频全屋能耗数据的方法可能包括以下步骤:通过估算太阳能电池板的太阳能容量来预测太阳能发电,预测太阳能发电量与 特定的房屋,并估计太阳能容量与预测的太阳能强度相乘; 并从低频整体能量消耗数据中减去预测的太阳能产生,从而分解由太阳能电池板产生的能量的贡献。 相同的计算机系统可以应用机器学习模型,例如径向基函数,支持向量或神经网络机器。