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 method combining supervised and unsupervised natural language processing to extract keywords from text in natural language processing, the method includes receiving, through a processor, one or more entities through an input processing unit and converting the one or more entities into a standard document object. Further, parsing the standard document object through a text processing engine into one or more of a sentence and a token and selecting through a candidate identification engine one or more right candidates to be ranked. Further, assigning one or more scores to the one or more right candidates, ranking the one or more right candidates through a graph based ranking engine, creating a connected graph between the ranked one or more right candidates and assigning, through a phrase embedding engine, an edge weight to one or more edges between a right candidate and another right candidate.

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.

Abstract: A system and method of recognizing data in a table area from unstructured data includes a computer network, one or more processors communicatively coupled with the computer network, a storage location, and a graph-theoretic engine that receives an input stream of unstructured data associated. A table area is recognized from unstructured data, through one or more computer processors, from an input stream of unstructured data received over a computer network. One or more table headers associated with the detected one or more table areas are recognized. Further, one or more column delimiters associated with each column of the detected one or more table areas are determined. One or more tabular data associated with the detected one or more table areas are extracted. The extracted tabular data is mapped to one or more target schema to store onto a relational database.

Abstract: A method, a system and/or an apparatus for decentralized identity management, authentication and authorization of applications is disclosed. The method, system and/or apparatus enables a machine/application to identify any other machine/application in a network without requiring a central server or authority. The method, system and/or apparatus involves controlling the data access and communication between machine/applications in a blockchain network by authorizing the communication only when there exists authorization permissions. The authorization permission of application/machine and user are stored in distributed ledger only if quorum is achieved as per the consensus algorithm present in the smart contract defined by the admin, making the system more secure.

Abstract: The present technique discloses a method and system for creating target entity profile. Data related to target entity are collected from various sources. User configures, through genome management console of genome query engine, gene block—dimension matrix which defines relationship between gene blocks and dimensions present in the collected data. Based on gene block—dimension matrix, gene blocks are loaded. User further configures genome attributes of their choice for which data needs to be analyzed. Data corresponding to configured genome attributes are extracted from gene blocks and from these extracted data, genome attributes are calculated based on computation type.

Abstract: Disclosed are a system, method and apparatus for dynamically generating a personalized video content at run time, through a browser embedded video player is disclosed. A video configuration metadata file and a template video comprising one or more replaceable placeholders are received at a client device. User data id extracted from at least one user data source. The user data is validated based on a set of personalization parameters extracted from the user data source. The extracted user data is appended in the video configuration metadata file to generate an updated video configuration metadata file. The updated video configuration metadata file is parsed to generate one or more of overlay elements. The one or more placeholders are populated with corresponding one or more overlay elements. The overlay element is automatically arranging over the template video based on a set of predetermined rules and the personalized video content is presented.

Abstract: A method and a system for automated testing of applications includes crawling an application by an application crawler to identify application states. Rewards associated with the application states are calculated using a reinforcement learning engine, based on a reward matrix. Critical paths are identified by the reinforcement learning engine and are passed to a test scenario generator. Test scripts are generated by the test scenario generator based on the identified critical paths. The applications are tested by a test scenario execution engine based on the generated one or more test scripts, and test data generated by the test data generator. Test results are captured by a behavior analyzer. One or more insights are generated by the behavior analyzer, from the captured test results to update the reward matrix and to improve the efficiency of continuous autonomous testing system.

Abstract: Automated fault correction in a network environment comprises identifying a pattern in a set of network events and generating a set of substantiating data for the identified patterns. The method can also identify an occurrence probability value for each network event and generate root cause data based on a ranking for the network events using a set of parameters including the occurrence probability. The method can also be directed to performing a regression of the root cause data against a set of historic data and selecting the root cause with a predefined accuracy as an acceptable candidate. The acceptable candidate is then provided for assisted learning for automated fault correction.

Abstract: A method and system for analyzing data based on a statistical model, wherein the statistical model is used in one or more contexts without needing intervention of data scientists. This statistical model is parameterized and uploaded in an analytics platform. Parameterizing the statistical model enables end users to select scope, constraints and variables of data analysis. Acceptance indicator of this tool indicates reliability of the model on user selected scope, constraints and variables. Based on user selections, a dynamic table is created which is an input to the statistical model for data analysis. Based on values of this dynamic table, data analysis is performed on stored data on the specific context. The report id generated based on the data analysis which is presented to user as visual output.

Abstract: Onboarding a Virtual Network Function (VNF) package utilized by multiple network services is disclosed. The VNF package is received from a vendor for network services requested by a customer. The VNF package and its contents may be uploaded on an orchestrating manager, and a NFVI admin decides workflows for the VNF package, for validating and certifying the VNF package. The VNF package is validated using multiple checks and then parameters are identified for monitoring and certifying the VNF package. The VNF package is then ready for onboarding and instantiating the network services requested by the customer.