Accenture Global Services Gmbh

Infosys Limited

Infosys Technologies Limited

Accenture Global Solutions Limited

Wipro Limited

Sanjoy Paul

Nataraj Kuntagod

Abhinav Tiwari

Senthil Kumar Kumaresan

Vikrant Shyamkant Kaulgud

Kumar Padmanabh

Saurabh Bhadkaria

Karthik Srinivasan

Venkatesh K Subramanian

Anutosh Maitra

Rajarathnam Nallusamy

Chiranjeeb Ghosh

Anitha Chandran

Karthikeyan Balaji Dhanapal

Amitabh Saxena

Gary Titus

Manish Jain

Deepmala Gupta

Farrukh Akram

Santosh Krishnamurthy

Aditya Vashistha

Harshawardhan Madhukar Wabgaonkar

Madhusudan Gn

Shubhashis Sengupta

Rajendra Tanniru Prasad

Vijayaraghavan Koushik

Annervaz Karukapadath Mohamedrasheed

Vijayaraghavan Varadharajan

Gurdeep Virdi

Gurdeep Singh

Sudhir Ranganna Patavardhan

Sandeep Rathod

Annervaz Km

Amitabha Das

Siva Prasad Katru

Lakshya Malhotra

Suparna Moitra

Vibhor Aggarwal

Harsha Siddaramappa

Manisha Johar Dhiman

Sagar Joglekar

Anil Sarin

Sai Pawan Kumar Chevuru

Jayraj Ugarkar

Swapnajeet G Chodhury

ArulKumar Karthikeyan

Sankalp Sharma

Vikrant Kaulgud

Venkatesh Subramanian

Abhinav A Tiwari

A method and device for generating data services from heterogeneous systems is disclosed. The method includes generating an asset data model for a parent asset based on at least one data attribute associated with the parent asset. The method further includes populating the asset data model with at least one sub-asset associated with each of the at least one data attribute and at least one event associated with the at least one sub-asset and the at least one data attribute. The method includes creating a plurality of role hierarchies across multiple organizations associated with the parent asset. The method further includes associating a plurality of stakeholders with each of the plurality of role hierarchies. The method includes associating data contracts with each of the plurality of stakeholders and each of the at least one sub-asset based on the plurality of role hierarchies and the asset data model.

Method and device for generating data services from heterogeneous systems

According to examples, system control may include accessing a plurality of procedures to control an operation of a system to prevent an occurrence of a fault in the system and/or a reduction of an output of the system. A highest ranked procedure may be learned from the plurality of procedures to control the operation of the system to prevent the occurrence of the fault in the system and/or the reduction of the output of the system. Real-time data associated with the system may be accessed. Further, the operation of the system may be controlled by applying the highest ranked procedure to prevent the occurrence of the fault in the system and/or the reduction of the output of the system.

Real-time engineering analysis based system control

According to examples, steam breakthrough detection and prevention for a steam assisted gravity drainage (SAGD) well may include accessing real-time data associated with the SAGD well. Parameter values associated with an operation of the SAGD well may be determined based on the real-time data associated with the SAGD well. A potential of occurrence of steam breakthrough may be determined based on an analysis of selected parameter values from the parameter values associated with the operation of the SAGD well. A procedure to prevent the occurrence of the steam breakthrough may be determined based on an application of hypothetical parameter values associated with the operation of the SAGD well to an engineering analysis model associated with the SAGD well. Further, the operation of the SAGD well may be controlled based on the procedure to prevent the occurrence of the steam breakthrough.

Steam breakthrough detection and prevention for steam assisted gravity drainage wells

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.

Automated, accelerated prototype generation system

A transportation system may store a standard time of arrival table including standard time of arrivals for fixed stops and waypoints or geo-sections. Delay of a vehicle reaching a fixed stop is determined and may be used to determine an estimated time of arrival to a destination on the route. Delay may be determined in response to traversing the waypoints or geo-sections on the route, and the estimated time of arrival may be updated according to the delay at each waypoint or geo-section.

Dynamic ETA and STA transportation system

A request to perform a transaction is detected. Based on the request to perform the transaction, one or more factors related to a context in which the transaction is being requested are determined. Based on the one or more factors, one or more parameters for authenticating a user that requested performance of the transaction are determined. The user that requested performance of the transaction is authenticated based on the determined one or more parameters for authenticating the user that requested performance of the transaction. Based on to authenticating the user that requested performance of the transaction, performance of the requested transaction is allowed.

Dynamic authentication technology

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.

Adaptive sensor data selection and sampling based on current and future context

A method and system for reducing demand on a power grid through demand side management includes receiving assigned priorities from a customer for smart appliances and for appliances plugged into sockets of one or more smart plugs of the customer, the assigned priorities indicative of a customer-preferred sequence for disconnection of, or adjustment of power to, the appliances from the power grid. The system determines whether to disconnect or adjust power to at least one of the appliances of the customer; and selects at least one of the appliances according to the assigned priorities to reduce demand on the power grid. The system sends one or more commands, the one or more commands indicative to the one or more smart plugs to disconnect or adjust power to the selected at least one of the appliances based on selecting at least one of the appliances.

Customer-centric demand side management for utilities

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.

Intelligent application back stack management

Systems and methods for distributed control and energy management of one or more communities of energy-consuming units may include aggregation of consumption data from units, and determining per-unit electricity consumption based thereon, including consumption of backup power provided by a community during periods of time of poor quality (brownouts) or blackouts of a utility. A system may calculate and assess to respective units per-unit costs for such backup power. A system may also issue a command or alert to units to carry out one or both of community electricity usage objectives and electricity quotas required by the utility, which may be determined through execution of rules.

Community energy management system

A fused image of the person's hand is accessed, the fused image having been generated using a segmented graylevel image and a segmented color image. The hand in the fused image is identified. One or more finger tips and one or more finger valleys in the fused image are identified. One or more fingers of the hand are segmented, based on the identified finger tips and finger valleys. The one or more fingers of the hand are labeled. One or more features for each finger of the hand are determined.

Biometric recognition

A counterfeit detection system may include a memory storing a module comprising machine readable instructions to determine a X-identification (XID) associated with a product. The XID may include an unencrypted component and/or an encrypted component associated with a parameter associated with the product. The machine readable instructions may further include selecting one or more validation rules, from a plurality of validation rules, to select one or more validation techniques from a plurality of validation techniques used to determine an authenticity of the product. The machine readable instructions may further include using the one or more selected validation techniques to determine the authenticity of the product based on the XID associated with the product. The counterfeit detection system may include a processor to implement the module.

Rules-based selection of counterfeit detection techniques

A travel management system may include a client module to generate a request to update and/or search for data related to a trip. A database module may receive the request and communicate with a database. The database may include data organized in a trip data store table including unique keys respectively identifying trips. The database may further include index tables related to attributes of the trips and identified by the unique keys. The database module may obtain data related to the request from an index table corresponding to a unique key and forward a response to the client module.

Travel management

Multimodal biometric profiling may include receiving a cover image and a biometric template for a person. An indication of a security requirement related to biometric profiling for the person may be received. A threshold value may be determined based on the indicated security requirement. The threshold value may be used to limit a number of biometric template bits of the biometric template that are embedded in a predetermined bit position of a cover image pixel of the cover image based on cover image intensity associated with the predetermined bit position.

Multimodal biometric profiling

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.

Adaptive architecture for a mobile application based on rich application, process, and resource contexts and deployed in resource constrained environments

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Bengaluru, India

Sanjoy Paul