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 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 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.

Abstract: A method and system for authenticating software licenses of a software includes a request for a software authentication received from one or more software subscribers and one or more electronic licenses distributed between one or more software vendors and the one or more software subscribers. Further, one or more tokens are validated through an authentication engine at a delivery packet delivered to the software subscriber. A license key associated with each validated token is generated and distributed through a licensing engine. The software is initiated to be enabled through the license key.

Abstract: A computer implemented system and method for generating a platform agnostic digital worker includes identifying a task to be performed by the digital worker. A specification for the digital worker is generated that comprises at least a predefined standard for configuration of input and output parameters and error handling. A digital worker created by an agent based on the specification is received to deploy the digital worker at an orchestration engine. The digital worker is sequenced into a repository of digital workers in a predefined manner of workflow, where the digital worker is configured to execute sequentially to perform a scheduled task.

Abstract: A computer implemented a method and system for enrichment of OCR extracted data is disclosed comprising of accepting a set of extraction criteria and a set of configuration parameters by a data extraction engine. The data extraction engine captures data satisfying an extraction criteria using the configuration parameters and adapts the captured data using a set of domain specific rules and a set of OCR error patterns. A learning engine generates learning data models using the adapted data and the configuration parameters and the system dynamically updates the extraction criteria using the generated learning data models. The extraction criteria comprise one or more extraction templates wherein an extraction template includes one of a regular expression, geometric markers, anchor text markers and a combination thereof.

Abstract: Hashing data using an image by performing a bit by bit concatenation of input text and hash key. The result is concatenated bit by bit with the salt. A two bit by two bit multiplication between the result and the reverse of the result is performed to get a next output. The bits of this output are used as coordinates to extract pixel and RGB values from an image. The extracted values are merged to form a string. The string is truncated to a desired length, and then split into two equal strings. A bit by bit concatenation is performed on the split strings to get a hash output.

Abstract: A method and system can implement error and event log correlation in an apparatus and include extracting one or more log information associated with a storage location and creating a flexible structure of the one or more log information. The one or more log information is translated to a database store based on a user input. A match level is determined between an event and error data through the one or more log information extracted. When the match level exceeds a predetermined value, a relationship between the event and error data is created through an algorithm and a shareable entry is created for the relationship in a format usable by another apparatus.

Abstract: A method, a system and a computer program product for regression test selection in a multi-threaded distributed target program execution tested by multi-threaded test suites. The method includes monitoring changes to source code of the target program in real-time to determine changed code-modules and extracting the regression test cases which simulate the changed code-modules. A calibration engine according to an embodiment isolates test case execution flow at individual test case level and builds relationship between the test case of the multi-threaded test suite and the distributed target program code-modules simulated by the test case. The method enhances the run-time behavior of the target program execution engines and builds relationships between the threads executing in the engine through throttling mechanism without affecting the actual functional execution. It enables calibration to happen in a multi-threaded test environment.

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.

Abstract: A method and/or system for heterogeneous predictive models generation based on sampling of big data is disclosed. The method involves receiving a dataset and a target column associated with the dataset at a data processing engine from a distributed data warehouse. One or more columns associated with the dataset are classified at the data processing engine as a categorical column or a continuous column. One or more parameters in the dataset are identified to extract a sample data from the dataset. The sample data from the dataset is extracted based on the identified one or more parameters. One or more rank ordered machine learning algorithms are recommended to one or more users, to generate one or more predictive models from the sample data. One or more heterogeneous predictive models are generated based on the rank ordered algorithm through one or more iterations.

Abstract: The disclosure provides activation of end to end virtual network services, along with various validations. This technology uses model driven architecture to convert the configurations to VNF/PNF specific commands and abstract the complexity of different types of syntax & command lines. This technology also provides test and diagnostic functionality including service connectivity check, performance, rate-limiting at each step of configuration at virtual infrastructure and functional level. Once the VNS is successfully applied, the configuration will be updated in database which can be referred for any future updates.

Abstract: A method generating a platform-agnostic abstract syntax tree (AST) comprises receiving data in a predefined format, through an input unit; subsequently parsing the data to extract model information corresponding to the predefined format of the data; and transforming, by a processing server, the model information to an abstract syntax tree (AST) structure. The above steps aid in generating, by the processing server, a platform-agnostic AST by combining predefined metadata and the abstract syntax tree (AST) structure.