Tata Consultancy Services Limited

Prasenjit Das

Sreedhar Sannareddy Reddy

Raghavendra Reddy Yeddula

Aswin Rajeev

Amarendra Kumar Singh

Purushottham Gautham Basavarsu

Vinay Kulkarni

Souvik Barat

Sankaranarayanan Viswanathan

Sapankumar Hiteshchandra Shah

Gautham Purushottham Basavarsu

Anagha Nikhil Mehrotra

Bilal Muhammed

Avadhut Mohanrao Sardeshmukh

Sunil Sharma

Kaustav Bhattacharya

Raghavendra Yeddula Reddy

Prashant Kulmar

Srimannarayana Pusuluri

The disclosure generally related to a learning-based modelling of an emergent behavior of a complex system. Existing decision-making at complex systems primarily relies on qualitative approaches, which often results in inaccurate outputs. The disclosed system includes a digital twin of the complex system and a digital twin of an environment of said complex system, and captures an interaction and dynamic behavior of agents of the digital twins. The agents of the digital twins are simulated and modelled using learning-based models such as RL and genetic algorithms that learns the behavior (i.e. actions and their outcomes) over a period of time. Hence, the agents (or actors) of the digital twins are dynamic in nature. The actor-based bottom up simulation approach is capable of producing sufficient insight for effective decision making prior to implementation.

Learning based modeling of emergent behaviour of complex system

This disclosure relates generally to recommending tool configurations in machining. The machining tool configuration selection involves the selection of several tool specification parameters concerning the material, geometry and composition of the machining tool. The state-of-the-art methods uses a rule and knowledge-based system to select tool configuration, however these methods do not recommend tool configurations which satisfy customer requirement. Embodiments of the present disclosure uses a hierarchical model which is trained to predict acceptable tool specification parameters for a given requirement by learning the patterns from past tool selection data. Further a probabilistic approach is used to predict the top set of recommendations of tool configurations with a probability score for each prediction. The disclosed method is used for recommending tool configurations in a cylindrical grinding wheel process.

Method and system for recommending tool configurations in machining

Systems and methods for data migration in multi-layer model-driven applications is provided. The traditional systems and methods simply provide for comparison based migration approaches, and thus face severe challenges in case of model-driven applications, wherein continuous capturing of transformations in model changes is required. Embodiment of the proposed disclosure provide for a changelog based data migration methodology by modelling, a model-driven application conceptual model; generating, a plurality of optimized data models from the modelling; extracting, from each of the plurality of optimized data models, at least one changelog capturing one or more model changes and transformations in each of the plurality of optimized data models; and executing the data migration using each of an executing changelog.

Systems and methods of data migration in multi-layer model-driven applications

The present disclosure is related to a system and method for controlling widgets of a table on a display using a server. The system is configured to receive inputs from user for controlling widgets of the table by specifying at least one configuration at the server end for at least one of a plurality of predefined configurations. It determines a plurality of events and invokes at least one event handler at the server end according to a predefined interface for the determined event. The event handler would then provide the component with response behavior. Further, the system specifies a plurality of observable properties wherein any change in the properties would be automatically tracked by the system and invoking the specified at least one event handler to control at least one widget of the table.

Server controlled framework for controlling widgets of a tabular structure

A method facilitating interoperability across the integrating platforms is provided by composing purpose specific integrating tools using conceptual modeling framework and a set of primitive foundational components. The model driven architecture provides easy migration from one solution architecture to another. Also, the present invention discloses a method to migrate from one implementation to another using set of composed purpose specific integration tools.

Method for building data integration tools to facilitate interoperability of data integration solutions among data integration platforms

The method(s) and system(s) for implementing extensibility of computational design and modelling of subject area on a computational platform in respect of a new subject in a subject area through a modelling schema includes populating the new subject in the model repository as data elements corresponding to the domain entity model of the domain entity meta model. The method includes generating a subject integration layer and a subject information interaction layer from the populated subject data elements and generating GUI screens for user interactions from the populated subject data elements. The method, further, includes integrating user determined external simulation tools with the computational platform by mapping the user determined external simulation tool parameters to the subject data elements. Subsequently, the method includes generating simulation tool adapters from said mapping to achieve said integration.

Model driven computational platform for integrated design of products, materials and manufacturing processes

A computer implemented system and method that combines data from multiple sources to provide a unified view of data using multi-layered conceptual modeling framework. The invention provides means to model conceptual data models at multiple levels of abstraction and a means to map them with each other and with physical models. A query rewriting approach adopted in the present invention is capable of translating queries down multiple levels of conceptual models into physical models and Conceptual modeling framework provide a means to capture and process semantic intent of data more accurately thereby reducing data integration errors significantly.

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Kolkata, India

Prasenjit Das