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1. 发明申请

US20170153610A1 ADAPTIVE SENSOR DATA SELECTION AND SAMPLING BASED ON CURRENT AND FUTURE CONTEXT 审中-公开
公开(公告)号：US20170153610A1
公开(公告)日：2017-06-01
申请号：US15428898
申请日：2017-02-09
申请人： Accenture Global Services Limited
发明人： Nataraj Kuntagod , Sanjoy Paul
IPC分类号： G05B13/02 , H04M1/725 , H04W4/00 , H04L29/08
CPC分类号： G05B13/026 , H04L67/12 , H04L67/125 , H04M1/7253 , H04M1/72569 , H04W4/023 , H04W4/38 , H04W4/70 , H04W84/18
摘要： A method for controlling a sensor may be performed by a mobile device including a processor and a memory. The method may include receiving raw data from the sensor, classifying the raw data into a context value, interpreting the context value into a higher-level context, receiving a predicted context based on the higher-level context, and controlling the sensor based on the predicted context. Controlling the sensor may include controlling a frequency at which raw data is received from the sensor, or an on/off state of the sensor. Control of the sensor may also be based on both the higher-level context and the predicted context.

2. 发明授权

US09619254B2 Adaptive architecture for a mobile application based on rich application, process, and resource contexts and deployed in resource constrained environments 有权
公开(公告)号：US09619254B2
公开(公告)日：2017-04-11
申请号：US14950472
申请日：2015-11-24
申请人： Accenture Global Services Limited
发明人： Sanjoy Paul , Vikrant S. Kaulgud , Venkatesh Subramanian , Nataraj Kuntagod
IPC分类号： G06F9/44 , G06F9/46 , G06F9/445 , G06F9/48 , G06F9/50
CPC分类号： G06F9/44552 , G06F9/44505 , G06F9/48 , G06F9/4881 , G06F9/50 , G06F9/5005 , G06F9/5061 , Y02D10/43
摘要： A method for adapting execution of an application on a mobile device may be performed by a mobile device including a processor and a memory. The method may include receiving an application context, a process context, and one other context. The method also includes analyzing at least one of the application context or the process context together with the one other context. The method also includes dynamically adapting execution of the application on the mobile device based on the analysis. Adapting execution of the application may include transferring processing related to the application to a backend server for processing.

3. 发明授权

US09875137B2 Intelligent application back stack management 有权
公开(公告)号：US09875137B2
公开(公告)日：2018-01-23
申请号：US15196936
申请日：2016-06-29
申请人： Accenture Global Services Limited
发明人： Senthil Kumaresan , Sanjoy Paul , Nataraj Kuntagod
IPC分类号： G06F9/46 , G06F9/48
CPC分类号： G06F9/485
摘要： Intelligent application back stack management may include generating a first back stack for activities of an application that have been executed by a device that executes the application. The first back stack may include a back stack size limit. A further back stack may be generated for selected ones of the activities of the application if a total number of the activities of the application and further activities of the application exceeds the back stack size limit. The first back stack may be an in-memory back stack for the device that executes the application, and the further back stack may include an external on-device back stack for the device that executes the application and/or a Cloud storage based back stack. Intelligent application back stack management may further include regenerating an activity of the selected ones of the activities that is pulled from the further back stack.

4. 发明授权

US10223654B2 Automated, accelerated prototype generation system 有权
公开(公告)号：US10223654B2
公开(公告)日：2019-03-05
申请号：US14665275
申请日：2015-03-23
申请人： Accenture Global Services Limited
发明人： Manisha Johar Dhiman , Rajendra T. Prasad , Vijayaraghavan Koushik , Sanjoy Paul , Nataraj Kuntagod , Sandeep J. Rathod , Suparna Moitra , Senthil Kumaresan
IPC分类号： G06F8/20 , G06Q10/06
摘要： The system may receive a group of project requirements from a client for development of a software application. The system may identify the client based on the received group of project requirements. The system may to determine, based on the group of project requirements of the client, a past project requirement submitted by the client or another client or created previously as a generic project requirement and corresponding to a first project requirement of the group of project requirements. The system may determine information created or used for the past project requirement. The system may create information for a second project requirement of the group of project requirements. The system may generate a prototype of the software application based on the information created or used for the past project requirement and the information created for the second project requirement. The system may output the prototype.

5. 发明授权

US10031491B2 Adaptive sensor data selection and sampling based on current and future context 有权
公开(公告)号：US10031491B2
公开(公告)日：2018-07-24
申请号：US15428898
申请日：2017-02-09
申请人： Accenture Global Services Limited
发明人： Nataraj Kuntagod , Sanjoy Paul
IPC分类号： G05B13/02 , H04L29/08 , H04M1/725 , H04W4/00 , H04W4/38
摘要： A method for controlling a sensor may be performed by a mobile device including a processor and a memory. The method may include receiving raw data from the sensor, classifying the raw data into a context value, interpreting the context value into a higher-level context, receiving a predicted context based on the higher-level context, and controlling the sensor based on the predicted context. Controlling the sensor may include controlling a frequency at which raw data is received from the sensor, or an on/off state of the sensor. Control of the sensor may also be based on both the higher-level context and the predicted context.

6. 发明授权

US09568895B2 Adaptive sensor data selection and sampling based on current and future context 有权
标题翻译：基于当前和未来背景的自适应传感器数据选择和采样
公开(公告)号：US09568895B2
公开(公告)日：2017-02-14
申请号：US14942334
申请日：2015-11-16
申请人： Accenture Global Services Limited
发明人： Nataraj Kuntagod , Sanjoy Paul
IPC分类号： G05B13/02 , H04L29/08 , H04W4/00 , H04W4/02 , H04W84/18
CPC分类号： G05B13/026 , H04L67/12 , H04L67/125 , H04M1/7253 , H04M1/72569 , H04W4/023 , H04W4/38 , H04W4/70 , H04W84/18
摘要： A method for controlling a sensor may be performed by a mobile device including a processor and a memory. The method may include receiving raw data from the sensor, classifying the raw data into a context value, interpreting the context value into a higher-level context, receiving a predicted context based on the higher-level context, and controlling the sensor based on the predicted context. Controlling the sensor may include controlling a frequency at which raw data is received from the sensor, or an on/off state of the sensor. Control of the sensor may also be based on both the higher-level context and the predicted context.
摘要翻译：用于控制传感器的方法可以由包括处理器和存储器的移动设备执行。该方法可以包括从传感器接收原始数据，将原始数据分类为上下文值，将上下文值解释为更高级别的上下文，基于较高级别的上下文接收预测上下文，并基于预测背景。控制传感器可以包括控制从传感器接收原始数据的频率或传感器的开/关状态。传感器的控制也可以基于较高级上下文和预测上下文。

7. 发明授权

US09405578B2 Intelligent application back stack management 有权
标题翻译：智能应用回堆管理
公开(公告)号：US09405578B2
公开(公告)日：2016-08-02
申请号：US14476270
申请日：2014-09-03
申请人： ACCENTURE GLOBAL SERVICES LIMITED
发明人： Senthil Kumaresan , Sanjoy Paul , Nataraj Kuntagod
IPC分类号： G06F9/46 , G06F9/48
CPC分类号： G06F9/485
摘要： Intelligent application back stack management may include generating a first back stack for activities of an application that have been executed by a device that executes the application. The first back stack may include a back stack size limit. A further back stack may be generated for selected ones of the activities of the application if a total number of the activities of the application and further activities of the application exceeds the back stack size limit. The first back stack may be an in-memory back stack for the device that executes the application, and the further back stack may include an external on-device back stack for the device that executes the application and/or a Cloud storage based back stack. Intelligent application back stack management may further include regenerating an activity of the selected ones of the activities that is pulled from the further back stack.
摘要翻译：智能应用反向堆栈管理可以包括为执行应用的设备执行的应用的活动生成第一后备堆栈。第一个后堆叠可能包括一个后堆栈大小限制。如果应用程序的活动总数和应用程序的进一步活动超过了后堆栈大小限制，则可以为应用程序的选定活动生成进一步的后一个堆栈。第一个后堆栈可以是用于执行应用的设备的内存中的堆栈，并且进一步的后堆栈可以包括用于执行应用的设备的外部设备后堆栈和/或基于云存储的后堆栈。智能应用反向堆栈管理可以进一步包括重新生成从后一堆叠中提取的活动的活动。

8. 发明授权

US09294866B2 Method and system for resource optimized, coarse and fine grained location tracking for planned journey 有权
标题翻译：计划旅程资源优化，粗粒度细粒度位置跟踪方法与系统
公开(公告)号：US09294866B2
公开(公告)日：2016-03-22
申请号：US13782151
申请日：2013-03-01
申请人： Accenture Global Services Limited
发明人： Nataraj Kuntagod , Sanjoy Paul , Senthil Kumaresan
IPC分类号： H04W24/00 , H04W4/00 , H04W4/02
CPC分类号： H04W4/50 , G01S5/0027 , G01S5/0294 , G01S19/34 , H04W4/021 , H04W4/029
摘要： Methods and systems for resource optimized, coarse and fine grained location tracking for planned journey are disclosed. A method for tracking a mobile device with respect to a point of interest (POI) using a mobile location tracker includes a conserve mode in which the mobile location tracker is turned off. The conserve mode comprises determining, by an analyzer module, whether to assess an estimated time to arrive (ETA) at the POI. If determined to assess the ETA, the conserve mode comprises performing an ETA assess operation comprising receiving the ETA; and if the ETA is not greater than a threshold time, switching from the conserve mode to an active mode, wherein in the active mode the mobile location tracker is turned on. It is determined to assess the ETA if a timer measurement is not less than the reassess time or if a trigger to reassess is received.
摘要翻译：公开了用于计划旅程的资源优化，粗粒度和细粒度位置跟踪的方法和系统。使用移动定位跟踪器相对于兴趣点（POI）跟踪移动设备的方法包括其中移动位置跟踪器被关闭的保存模式。保存模式包括由分析器模块确定是否评估在POI处的估计到达时间（ETA）。如果确定评估ETA，则保存模式包括执行ETA评估操作，包括接收ETA; 并且如果ETA不大于阈值时间，则从保存模式切换到活动模式，其中在活动模式中，移动定位跟踪器被打开。如果计时器测量值不小于重新评估时间，或者如果接收到重新评估的触发，则确定评估ETA。

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