Abstract: System and method to validate Blockchain transactions in a distributed ledger network is disclosed. The method includes adding, by a computing node in the distributed ledger network, transaction validation information in a header of a block, wherein the transaction validation information is encrypted. The method further includes transmitting, by the computing node, the block comprising the transaction validation information in the header to a validator computing node in the distributed ledger network. The method includes receiving, by a validator computing node, transaction validation information in a header of a block from a computing node in the distributed ledger network, wherein the transaction validation information is encrypted and is associated with a Blockchain transaction. The method further includes decrypting and validating the Blockchain transaction, by the validator computing node, based on the transaction validation information in the header of the block in response to the decryption.

Abstract: The present disclosure discloses a method and a system for deploying an application in each stage of an application lifecycle. The method comprises receiving, by an application deployment system, an application, for deploying in each stage of one or more stages of an application life cycle, compiling instruction data of the application to generate an instruction package, where the instruction data is compiled once, compiling configuration data of the application, to generate a configuration package, where the configuration data is compiled at each stage of the one or more stages of the application life cycle and assembling the configuration package corresponding to each stage of the one or more stages of the application life cycle and the instruction package for generating a corresponding application package, where the corresponding application package is deployed in a respective stage of the one or more stages of the application life cycle.

Abstract: This disclosure relates to system and method for system and method for performing data mining by parallel data clustering. In one embodiment, the method comprises generating an initial set of clusters from a plurality of existing node elements based on an object of the data mining. The plurality of existing node elements correspond to a plurality of processed data elements and the plurality of processed data elements relate to a plurality of unprocessed data elements. The method further comprises deriving a plurality of new node elements corresponding to the plurality of unprocessed data elements and based on one or more attributes of each of the plurality of unprocessed data elements, and generating a final set of clusters by processing the plurality of new node elements with respect to the initial set of clusters based on the object of the data mining.

Abstract: A method, non-transitory computer readable medium and character recognition device for character recognition includes a character recognition device for receiving an image representing a character comprising one or more strokes. A set of first parameters associated with each of the one or more first strokes is determined. Each of the one or more first strokes is compared with the associated set of first parameters with a plurality of stored sets of second parameters, where each of the plurality of stored second strokes is associated with a stored set of second parameters. A second stroke is identified from among the plurality of stored second strokes corresponding to each of the one or more first strokes based on the comparison. The character is identified based on the identified one or more second strokes.

Abstract: A method, non-transitory computer readable medium and character recognition device for character recognition includes a character recognition device for receiving an image representing a character comprising one or more strokes. A set of first parameters associated with each of the one or more first strokes is determined. Each of the one or more first strokes is compared with the associated set of first parameters with a plurality of stored sets of second parameters, where each of the plurality of stored second strokes is associated with a stored set of second parameters. A second stroke is identified from among the plurality of stored second strokes corresponding to each of the one or more first strokes based on the comparison. The character is identified based on the identified one or more second strokes.

Abstract: A method and system of deploying at least one software application from at least one source platform to at least one target platform is provided. The method may include obtaining configuration data on interdependency between the at least one target platform and the at least one software application. The method may further include checking a readiness of the at least one source platform for initiating deployment of the at least one software application. The method may further include checking a readiness of the at least one target platform for initiating deployment of the at least one software application and performing a selective deployment of the at least one software application after the readiness check. The method may further include performing a post-deployment assessment of the selectively deployed at least one software application after the selective deployment, wherein the post-deployment assessment includes checking a status parameter of the selectively deployed at least one software application.

Abstract: A method and system of deploying at least one software application from at least one source platform to at least one target platform is provided. The method may include obtaining configuration data on interdependency between the at least one target platform and the at least one software application. The method may further include checking a readiness of the at least one source platform for initiating deployment of the at least one software application. The method may further include checking a readiness of the at least one target platform for initiating deployment of the at least one software application and performing a selective deployment of the at least one software application after the readiness check. The method may further include performing a post-deployment assessment of the selectively deployed at least one software application after the selective deployment, wherein the post-deployment assessment includes checking a status parameter of the selectively deployed at least one software application.