Abstract: A method for creating a unified data repository of clean and accurate data records is disclosed. In some embodiments, the method includes identifying one or more Configuration Items (CIs) with same attribute value from at least two of a set of normalized dataset. Each of the set of normalized dataset is generated from a plurality of CIs fetched from a plurality of data sources. The method further includes merging the one or more CIs identified with same attribute value from at least two of the set of normalized dataset, based on a set of pre-defined prioritization rules, to create a golden dataset of the clean and accurate data records.

Abstract: This disclosure relates to method and system for identifying duplicate Cascading Style Sheets (CSS) selector declarations in CSS code bases. The method includes receiving at least one updated CSS code file in a CSS code base from a user. For each of the plurality of selector declarations, the method further includes identifying one or more locations associated with a selector declaration in each of the plurality of CSS code files of the CSS code base in real time. For each of the plurality of selector declarations, the method further includes generating a set of selector locations in each of the plurality of CSS code files. For each of the plurality of selector declarations, the method further includes determining a number of elements in the set of selector locations corresponding to the selector declaration.

Abstract: Disclosed is a method and system for modifying data cleansing techniques for training and validating an Artificial Neural Network (ANN) model. The method comprises normalizing and validating data of different formats, obtained from different sources. The ANN model is trained using the normalized and validated data. Alternatively, the ANN model could be trained using data of a common format obtained from a deterministic data model. The trained ANN model is used to generate ANN stochastic data. Data validation component from the deterministic data model is reused for the normalizing and the validating of the data, for validating the ANN stochastic data.

Abstract: A method for performing deterministic data processing through Artificial Intelligence (AI) is disclosed. The method may include generating, via a deep learning network, a set of input feature vectors based on input data for a deterministic data processing model. The method may further include providing the set of input feature vectors to a trained AI model. The trained AI model may generate a set of output feature vectors that may correspond to an output data of the deterministic data processing model. The method may further include determining a variation between the set of output feature vectors and the output data, and iteratively performing incremental learning of the AI model based on the determined variation.

Abstract: Disclosed is a system providing management of services. The system comprises a database configured to store details of one or more services and one or more micro-services associated with each service of the one or more services. The database is also configured to store one or more Configuration Items (CIs) facilitating operation of the one or more services in an application. The one or more micro-services are mapped with one or more CIs for facilitating the operation of the one or more services in the application.

Abstract: The present disclosure relates to a system and method for providing data management and sharing over communication network. One or more input data form one or more users may be received over a User Interface (UI). One or more data input type is identified. According to each data input type, each data input is processed. The processing comprises according to the type of the data input, output towards each of the data input is search though a search engine. The searching is performed in one or more database. Based on the searching one or more response output towards each of the data input is generated. Further, one or more response output over the communication is published.

Abstract: Method and system of automatically creating an instance of a containerized server within an Integrated Development Environment (IDE) is provided. The method includes registering a containerized server in a framework, upon a request from a server developer and creating a docker image from within IDE upon a first request from an end user. The docker image includes metadata corresponding to a project and includes project runtime ID and list of exposed ports. The method includes creating a docker container from within IDE upon a second request from end user, using docker image and based on metadata. The method further includes automatically creating and upon creating the docker container, an instance of the containerized server within the IDE by executing a wrapper class corresponding to the project runtime ID and to the containerized server. The containerized server corresponds to the docker container and wrapper class may be executed by the framework.

Abstract: A method for off-loading streams selection to generate organized concurrent streams in a simulation environment is disclosed. In some embodiments, the method includes receiving at least one stream selection request for a DUT from a DUT input generator; performing a stream selection process in response to receiving the request. In order to perform the stream selection process, the method includes analyzing each of a plurality of stream specification entries of a stream specification entries array; selecting a stream from the plurality of streams based on one or more of the set of stream specification entry fields associated with the stream; and generating a stream selection result object based on the selected stream; sending the stream selection result object associated with the selected stream to a respective DUT input generator; and utilizing, by the respective DUT input generator, the stream selection result object associated with the selected stream.

Abstract: The present disclosure relates to a method and system for validating tasks in a change management process. A change request associated with one or more tasks is received. The change request may be defined through one or more attributes. Status of each task of one or more tasks is tracked. The tracking checks competition of each of the task associated with the change request and based on the tracking status of each of the task status of the change request is updated.

Abstract: Method and system for providing secured access to services rendered by digital voice assistants are disclosed. In an example, the method includes generating, by the digital voice assistant in a set-up mode, hierarchical access levels for a plurality of services rendered by the digital voice assistant, based on an input from a super user. The method further includes generating, by the digital voice assistant in an operational mode and upon receiving a voice command from a user for a first time, a unique voice directive corresponding to the voice command. The unique voice directive comprises language tags and voice tags extracted from the voice command. The method further includes assigning an access level from among the hierarchical access levels to the unique voice directive and rendering a service from among the plurality of services based on the access level and the voice directive.

Abstract: An aircraft sanitization system is disclosed. The aircraft sanitization system includes a frame. The aircraft sanitization system further includes a tray operatively coupled to at least first two corners of the frame and is rotatable about a pivot axis. The tray is configured to be in one of a locked state and an unlocked state based on rotation about the pivot axis. In the unlocked state the tray is at an angle greater than zero with respect to the frame and in the locked state the tray is at an angle equal to zero with respect to the frame. The aircraft sanitization system further includes a set of Ultraviolet (UV) Light Emitting Diodes (LEDs) attached on an exposed surface of the frame, wherein the set of UV LEDs is configured to sanitize the tray when the tray is in the locked state.

Abstract: Resource unit management database (RUMDB) and system for storing and managing information about information technology resources is disclosed. In an example, implementing an RUMDB includes defining a plurality of resource units (RUs) in an IT environment. A RU in the plurality of RUs is a tangible or an intangible entity that provides a measure of workload or efforts required to deliver and support IT services. The implementation further includes storing a set of general attributes identifying each of a plurality of RUs in a first data structure. The implementation further includes storing a set of specific attributes corresponding to attributes of each of the plurality of RUs, stored in the first data structure, in a second data structure that is separate from the first data structure.

Abstract: A method and system for coordinating continuous delivery pipeline testing against a singleton instance of an application is disclosed. The method may include identifying a set of unchanged components across a preceding build and a current build of the singleton instance, and identifying a first set of test cases from a plurality of test cases executed on at least one unchanged component. The method may further include performing execution of a second set of test cases on the remaining set of unchanged components in the current build, and performing execution of each of the plurality of test cases on at least one changed component in the current build. The method may further include reporting test results of executing the first set of test cases on the at least one unchanged component, the second set of test cases, and the plurality of test cases.

Abstract: The present disclosure relates to a system and method for providing data management and sharing over communication network. One or more input data form one or more users may be received over a User Interface (UI). One or more data input type is identified. According to each data input type, each data input is processed. The processing comprises according to the type of the data input, output towards each of the data input is search though a search engine. The searching is performed in one or more database. Based on the searching one or more response output towards each of the data input is generated. Further, one or more response output over the communication is published.

Abstract: Disclosed is a system providing management of services. The system comprises a database configured to store details of one or more services and one or more micro-services associated with each service of the one or more services. The database is also configured to store one or more Configuration Items (CIs) facilitating operation of the one or more services in an application. The one or more micro-services are mapped with one or more CIs for facilitating the operation of the one or more services in the application.

Abstract: The present disclosure relates to system(s) and method(s) for generating recommendations for a patient and a doctor. The method comprises capturing voice data comprising one or more recordings of the patient. Further, the method comprises generating a frequency spectrum for each recording from the one or more recordings. Furthermore, the method comprises analyzing the voice data and the frequency spectrum based on one of a spectral density, a coherence, a bandwidth, a signal to noise ratio, and an impedance, in order to generate analysed data. The method further comprises generating one or more recommendations for the patient and the doctor based on comparing the analysed data with historical data associated with one or more patients, and the frequency spectrum.

Abstract: Disclosed is a method and system for modifying data cleansing techniques for training and validating an Artificial Neural Network (ANN) model. The method comprises normalizing and validating data of different formats, obtained from different sources. The ANN model is trained using the normalized and validated data. Alternatively, the ANN model could be trained using data of a common format obtained from a deterministic data model. The trained ANN model is used to generate ANN stochastic data. Data validation component from the deterministic data model is reused for the normalizing and the validating of the data, for validating the ANN stochastic data.

Abstract: The present disclosure relates to system(s) and method(s) for real-time synchronization of source repositories is illustrated. The system is configured to receive a set of documents corresponding to history of changes and changed data associated with a source repository since last replication of the source repository over an intermediate storage. Further, the system may convert the set of documents in an intermediate format to generate a set of intermediate documents. Further, the system may comprise steps to identify one or more target repositories from the set of repositories based on analysis of the set of intermediate documents and current status associated with each repository from set of repositories. Further, the system transmit the set of intermediate documents to the one or more target repositories.

Abstract: A system(s) and method(s) for enabling safety of a vehicle is disclosed. The method comprises identifying one or more secondary vehicles in the vicinity of a vehicle and transmitting one or more potential safety responses to the one or more secondary vehicles. Further, the method comprises receiving response data from the one or more secondary vehicles based on the one or more potential safety responses, wherein the response data comprises one of an OK response or a NOT OK response corresponding to each of the one or more potential safety responses. Furthermore, the method comprises identifying one or more optimal responses based on filtering of the one or more potential safety responses using the response data and executing the optimal responses if the event occurs, thereby enabling vehicle safety.

Abstract: A system and method is provided to rank contributors to a knowledge base. In an automated operation, a ranking value is calculated for each of a plurality of knowledge-based contributors based both on document information and on personal network information pertaining to the respective contributor. The document information identifies relationships being documents in the knowledge base and the particular contributor, indicating, for example, whether the contributor authored the document, read the document, or rated the document. The personal network information indicates personal connections in the knowledge base between the respective contributors.