Abstract: Embodiments of the present disclosure discloses a method and an interoperability system. The present disclosure aims to provide interoperability between SD-WANs of different vendors. The interoperability system uses information from an agent (software or hardware) installed in network terminals such as routers of each SD-WAN to configure control and management plane signals and configures the agent associated with one SD-WAN to share data with agent associated with another SD-WAN. Therefore, the present disclosure helps in interoperability between SD-WANs from different vendors. Hence, operations are efficient, and cost is reduced.

Abstract: A system and apparatus for automated image capturing, comprising a microcontroller, an image capturing device operatively coupled to the pair of guiding apparatus using a first electric rotary actuator, a rotary plate operatively mounted on a second electric rotary actuator. The pair of guiding apparatus and the first electric rotary actuator is actuated to cause change in position of the image capturing device relative to an object positioned on the rotary plate and second electric rotary actuator is actuated causing change in angle of orientation of the object positioned on the rotary plate. By varying lighting conditions and for different background images, plurality of images of object are captured using the image capturing device by actuating electro-mechanical components of the apparatus.

Abstract: A method and system for cross-verification of alarms in real-time comprising identifying primary variables and secondary variables causing the event, labelling the primary variables and the secondary variables by primary engine and secondary engine based on Artificial Intelligence based predictive model building, predicting the labels by one or more inference engine based on previous history and data patterns, triggering secondary engine for cross-verification of alarms whenever there is a prediction from the primary engine, identifying the correlation between the labels from the primary engine and the secondary engine by validation engine, identifying alarm type based on correlation, recommending predictive maintenance and displaying on dashboard the cross-verification status of the alarms. The method reduces misclassification of alarm types based on predictive or preventive maintenance, reduces the maintenance costs of assets, and helps in prioritizing the critical alarms based on the alert type.

Abstract: Provided is a method and system for converting graphql query into gremlin comprising microservices based architecture, that may convert a query input in a graph query language (graphql) or natural language into gremlin queries that may get executed in any graph database required by a user. Hence a user may not need to have any knowledge of the query language. In one example of the present technology, multiple gremlin supporting backend graph databases with a uniform interface may be supported, along with more than one instance of backend database in the same instance.

Abstract: A method and system for evaluating contract-worthiness of performing artists is disclosed. The method includes receiving consolidated data corresponding to each of a set of performing artists. The method further includes processing the consolidated data by classifying a set of topics in the text data into a plurality of categories through a ML classification model, determining user engagement behavior segments based on sentiment scores associated with the text data, and determining a plurality KPIs based on the plurality of metrics, the plurality of categories, and the user engagement behavior segments. Further, the method includes calculating a contract worthiness score for the set of performing artists based on the plurality of KPIs using a trained ML contract worthiness scoring model and evaluating one or more of the set of performing artists for their contract worthiness based on the contract worthiness score and a threshold contract worthiness score.

Abstract: This disclosure relates to method and system for developing and managing a product. The method includes creating a product template including a plurality of data elements. The plurality of data elements is indicative of configurable items. The method further includes configuring one or more of the plurality of data elements in the product template to generate a product model. The method further includes configuring the product model using one or more of a plurality of rules, based on an industry specific domain knowledge, to obtain at least one product and to generate a set of instructions for the at least one product. The method further includes receiving one or more queries from a user device, corresponding to the at least one product. The method further includes processing the set of instructions in response to each of the one or more queries to create a set of executable actions.

Abstract: The disclosure relates to system and method for exchanging data between data processing systems. The method includes receiving, from a second data processing system by a first data processing system, a data trigger associated with an event within the second data processing system. The first data processing system employs first symmetric keys for data communication and the second data processing system employs second symmetric keys for data communication. The first symmetric keys are distinct from the second symmetric keys. The data trigger is received without application of the second symmetric keys. The method further includes transmitting by the first data processing system to the second data processing system, a data snippet. The data snippet is representative of a data superset within the first data processing system corresponding to the data trigger. The data snippet is transmitted without application of the first symmetric keys.

Abstract: A method for transforming data organized in tabular structure is disclosed. In some embodiments, the method includes assigning a score to each of a plurality of cells within a table based on an associated set of orthogonal features characterizing a set of data. The set of orthogonal features comprises visual features, syntactic features, and language-based features. The method further includes identifying for each of the plurality of cells, a cell type based on the assigned score. The method further includes determining a table type based on the cell type and the set of orthogonal features determined for each of the plurality of cells. The table type comprises one of a row-oriented table, a column-oriented table, or a composite table.

Abstract: A method and/or system for automated simulation of releases in Agile environments is disclosed. The system is an automated simulation engine comprising—release simulation engine to perform simulate at program or release level and sprint simulation engine to perform simulation at sprint level. The system enables user to simulate execution pattern of user stories, identify spillover user stories and risks in the execution pattern simulated by the system and re-run the simulation iteratively by modifying various project related parameters to arrive at an optimal release plan for projects in Agile environment before the actual allocation to project teams, thereby foreseeing the possible risks and mitigating them for efficient project delivery.

Abstract: A method of enhanced hybrid quantum-classical computing mechanism for solving optimization problems is disclosed comprising altering a value of a configuration chromosome by storing an angle memory on a shared classical memory. The angle memory corresponds to a predefined configuration chromosome. The method then generates a state vector based on the angle memory and reinitializes a quantum circuit from the state vector. Subsequently, generating at least two most probable configuration chromosome from the reinitialized quantum circuit corresponding to a superposition of qubits in a position chromosome. Subsequently selecting one of the at least two most probable configuration chromosomes for each position chromosome after evaluation by a fitness function.

Abstract: The system and method for training a neural machine translation (NMT) model is disclosed wherein training data in terms of source statements and equivalent targets statements may be received. The source statements and equivalent targets statements may be encoded using source and target vocabulary respectively. A source-target map containing relation between tokens is created. The source statements and equivalent target statements is split into multiple fragments using fragments generator based on the source-target map. Such generated multiple fragments are used to train NMT model. Whenever the trained NMT model receives a source codes as input, the source codes are transformed to target codes.

Abstract: A method and/or system for dynamic generation of charts in a personalized video content is disclosed. A client device may receive user data, a video template and a metadata associated with the video template over a computer network. The dynamic generation of the personalized video is performed at the client device by transforming the user data to a graphical overlay elements using charting libraries by generating an enriched data object based on the user data and the metadata. The graphical overlay elements are overlaid dynamically on top of the video template while playing the video template at the client device.

Abstract: A method and system of cloning a multi-tiered application is disclosed and it comprises of validating received source server configuration data against received target server configuration data. Further the data at a set of nodes on the target server is restored. The cloning of the multi-tiered application is initiated based on a set of predetermined rules, wherein the cloning comprises a set of sequential actions performed at each of the set of nodes. The method of cloning comprises of generating a set of dynamic configuration files for the set of nodes based on the predefined restore rules and the validation and also generating a set of tokens for the set of nodes to communicate status of refresh. Further the target application is restored based on the set of dynamic configuration files and the set of sequential actions at each of the set of nodes is performed based on the status of set of tokens.

Abstract: A method and/or system for dynamic generation of personalized video content in a conversational interface is disclosed. A chat application at a client device receives input from user which is communicated to chatbot platform. The chatbot platform composes a response in a data package and communicates to the chat application. If the format of the data package is of the type ‘Personalized Smart Video’, then a personalized video generation engine may generate a personalized video using a video template by displaying the video template and dynamically overlaying transformed user data on top of dedicated placeholders in the video template, thereby enhancing the user experience by rendering messages in form of personalized video at the client device and eliminating the need of creating a separate video file for each target user.

Abstract: Provided is method and system for organizing a virtual showroom with one or more 3d images. Scripts are generated from the input images provided by the user, for generating 3D images of the products in the showroom. The generated 3D images can be in folded form, hanger display or mannequin.

Abstract: Examples of the present invention provides a method and system for inspection of heat recovery steam generator (HRSG) equipment to identify defects and damages using computer vision and deep learning techniques. The method comprising capturing one or more input frames by one or more input devices, classifying the one or more input frames by a scenario classifier to identify a scenario type based on a first modelled data prepared by training one or more deep neural networks (DNN), selecting at least one damage detector based on the identified scenario type, identifying one or more damage types by the at least one damage detector based on second modelled data prepared by training the one or more DNN and displaying one or more output frame indicating the identified one or more damage types of the HRSG equipment.

Abstract: A system and method of creating an entity relationship map includes receiving a stream of lexical matter associated with one or more categories (302) and identifying one or more tokens from the received lexical matter based on the one or more categories (304). A frequency of one or more of unique lexical token and recurring lexical token are determined (306) and one or more outliers based on a standard deviation range associated with the at least one category is eliminated (308). Sentences with the one or more recurring lexical tokens are selected (310) to find one or more lexical neighbors and the entity relationship map is created based on an association between the unique lexical tokens and the at least one lexical neighbor (312).

Abstract: The present technique discloses a method and system generating three dimensional animation in gaming engine. A CAD tool is used to generate 3D animation of kinematic assembly and it also stores the information related to complex joints and constraints of each component of the kinematic assembly. Then, it extracts information related to the co-ordinates of each component of the kinematic assembly in unit time and generate transformation matrix for each of those components. This transformation information is stored in JSON file. The gaming engine receives this JSON file from the CAD tool and convert the transformation matrix into gaming engine understandable pattern based on the co-ordinate system supported by the gaming engine. The gaming engine stores this converted transformation matrix into Quaternion representation. Then, the gaming engine applies tangential continuity to the Quaternion representation of each of the components of kinematic assembly to generate the 3D animation in gaming engine.

Abstract: A method and system for decentralized transaction management in project resourcing is provided that ensures transparent and decentralized tracking of data across all stakeholders. It also provides ease of compliance for organizations on one hand, and ease of monitoring for the administrators on the other. Multiple beneficiaries and benefactors are registered with a primary administrator. Each beneficiary has a list of projects listed. A benefactor identifies a project which he wants to resource. The benefactor virtually transfers a unit of resource to a secondary administrator, for the identified project and receives credit points in exchange of the units of resource. The benefactor approves transfers of credit points to the identified project of a beneficiary. The beneficiary redeems the required credit points with the resource units. The secondary administrator will also validate the resources received by the beneficiary in exchange for the credit points.

Abstract: A system and/or a method for integrated auto-steering apparatus, auto-braking apparatus and auto-acceleration apparatus to facilitate actuating brake and turning steering wheel without a driver. The technology may be made as a part of Drive-By-Wire system to make the system retrofit using a spur gear train connected through a motor to make steering automatic, and using an electric actuator to make braking automatic, and integrating all the apparatus though a programmable logic controller to achieve navigation of autonomous vehicle. The complete system design fits at the steering column and the brake pedal to imitate exact behavior of human with sensor feedback system.