Tata Consultancy Services Limited

Sreedhar Sannareddy Reddy

Prasenjit Das

Raghavendra Reddy Yeddula

Sapankumar Hiteshchandra Shah

Vinay Vasant Kulkarni

Amarendra Kumar Singh

Purushottham Gautham Basavarsu

Sushant S Vale

Gautham Purushottham Basavarsu

Avadhut Mohanrao Sardeshmukh

Beena Rai

Deepak Shyamsunder Jain

Arun Gajanan Bahulkar

Vilas Sadanand Prabhu

Suman Roychoudhury

Aswin Rajeev

Shashank Madhukar Kulkarni

Sajeev Thomas

Josyula Ramakrishna

Garima Jain

Pritwish Mitra

Neelanshi Wadhwa

Sarath Sasidharan

Deepali Dinanath Prabhu Kholkar

Vishnudas Raveendran

Raghavendra Yeddula Reddy

The present disclosure provides a dynamic functional adaptation of software systems based on real time need, which is unaddressed by the conventional methods. Initially, the system receives an output generated by a software system under execution corresponding to a given input. Further, a deviation in the generated output is identified based on a comparison between the generated output and a corresponding expected output. Further, an optimal policy is identified based on the generated output and the identified deviation using a reward based Reinforcement Learning (RL) model. Further, an adaptation specification is generated based on the identified optimal policy using an Adaptation Specification Generation (ASG) technique, Further, a software code is generated dynamically for the identified optimal policy using an ASG based code generation technique. Finally, the software system under execution is updated dynamically by calling a method corresponding to the generated software code and executing the software system.

Method and system for learning based dynamic software system adaptation

The disclosure relates generally to knowledge retrieval using ontology-based context matching. Conventional knowledge retrieval methods and systems are based on generative context that is modeled loosely as some meta data annotations. The meta data annotations do not provide sufficient semantic basis for meaningful context matching, compromising safety aspect. Other typical systems are designed such that the context is encoded into knowledge elements themselves, thus matching is too strict and the knowledge can only be used in contexts that match exactly, compromising the reuse aspect. The disclosed method and system explicitly models the context in which knowledge is generated, and matches the problem context with the generative context of knowledge, with respect to the underlying domain ontology, to assess the degree of similarity between the two, which then provides the basis for ranking the suitability of different knowledge elements for the problem context.

System and method for knowledge retrieval using ontology-based context matching

This disclosure relates generally to methods and systems for building an intelligent analytical platform to enable a device fabrication in material science. Material engineers and design engineers may face various challenges with existing knowledge, as more time and efforts are required in finding a relevant knowledge from the existing knowledge, mainly due to the unstructured form, for fabricating new devices. The present disclosure solves the technical problem of finding the relevant knowledge out of the existing knowledge, in a structured form by building an analytical platform. The unstructured format of the existing knowledge of the fabrication process is transformed into a structured format in terms of operation sequence knowledge graphs, using a set of artificial intelligence (AI) and machine learning models, and a knowledge representation model of the fabrication process. The structured format of the existing knowledge is hierarchically arranged to build the analytical platform.

Building analytical platform to enable device fabrication

The disclosure generally relates to methods and systems for generating synthetic microstructure images of a material with desired features. Conventional techniques that make use of unsupervised deep generative models has no control on the generated microstructure images with specific, desired set of features. The present disclosure generates the synthetic microstructure images of the material with desired feature, by using a variational autoencoder defined with a style loss function. In the first step, the variational autoencoder is trained to learn latent representation of microstructure image of the material. In the second step, some of the dimensions of learned latent representation is interpreted as physically significant features. In the third and last step, the latent representation required for getting the desired features is appropriately sampled based on the interpretation to generate the synthetic microstructure images of the material with desired features.

Methods and systems for generating synthetic microstructure images of material with desired features

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

This disclosure relates to a model driven framework for realizing domain specific search system for unstructured text. The framework has two parts: information extraction system for defining various models such as a meta model, an instance model, an extraction model and mention model and a generic domain agnostic search system that works by interpreting the models specified via the information extraction system. The components of the search system are completely domain agnostic with no hard coded knowledge of the domain. The search system interprets the domain models specified in terms of the meta model to impart domain specificity to the search engine. In this sense, the framework is domain agnostic and it can be tailored for a new domain by just specifying domain related information in terms of the meta model. The model driven approach obviates need for re-coding the search system for any new domain of interest.

Methods and systems for performing a model driven domain specific search

A method and system is provided for transforming mesh for simulating manufacturing processes and products. The present application provides a method and system for transforming mesh for simulating at least one manufacturing process and at least one product comprises of selecting one or more transformation rules; executing the selected one or more transformation rules for obtaining a transformation chain; and executing the obtained transformation chain for obtaining a transformed mesh data using a transformation engine.

Method and system for transforming mesh for simulating manufacturing processes and products

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.

Data integration using conceptual modeling framework

A model framework for generating batch programs has an abstraction representing a batch program, an abstraction representing a batch function of the program, an abstraction representing operation of the function, an abstraction representing a data provider to the function, and an abstraction representing a context class of the function. The framework is characterized in that instantiation of the model with the appropriate input data parameters input to each abstraction generates appropriate instances of batch functions including function operations wherein the generated instances are executable as part of a run sequence of the batch program.

Automatic generation of batch programs with identification, insertion of invariables, declarative statements and variables with the use of place-marks

A tool for versioning and configuration management of object models in a computing system including a component container for grouping objects to form a component containing the objects, the objects having properties and associations and a configuration container for grouping the assembled components to form a configuration. Each component is assigned a version number upon creation whereupon subsequent versions, if any, of the component are derived directly or indirectly from an earlier version, the objects accessibly isolated within the assigned component versions except for inter-component associations established between compatible ones of the objects in separate but compatible components of the configuration, the associations forming the basis for assembling, managing and function of the configuration.

Method and apparatus for versioning and configuration management of object models

A software control interface for creating and editing system views of a business information system using object models shaped to define the system views has a drawing tool for visually representing system views using model elements represented by icons, a first specification language for defining the various elements of a drawing, and a second specification language for defining mapping between drawing icons and objects stored in an object repository of the software system. The interface is characterized in that a user operating the drawing tool through a graphical user interface can, by dragging and dropping icons of the drawing tool onto a drawing sheet of the drawing tool, specify abstract models and model extensions expressed in diagrammatic notation transparent to the user and usable by the software system and associated repository.

System and apparatus for programming system views in an object oriented environment

A software tool for computing and displaying differences in at least two object oriented workspaces compared and for reconciling the differences by merging the workspaces has at least one object association graph used as a modeled template for defining the nodes and node paths involved in the difference computation, a data tree structure for displaying element hierarchy symmetrically in each of the compared workspaces, an executable function for merging the separate workspaces to reconcile the found differences, and an interactive user display window for visualizing and directing the process. The tool is characterized in that a user monitors the data structures in each workspace from the display window and executes the difference and merge operations through interaction with the data structure.

Growing community of inventors

Pune, India

Sreedhar Sannareddy Reddy