Abstract: A method for performing dataload protocol operation testing in an avionics Line Replaceable UNIT (LRU) is disclosed. In some embodiments, the method includes sending a request to initiate transfer of a dataload sequence from an external data loader to a target hardware. The method further includes receiving an acceptance status from the target hardware to initiate transfer of the dataload sequence based on at least one of the valid or invalid dataload sequence request or response. The method further includes determining, based on the invalid dataload sequence request or response, occurrence of one or more failure scenarios associated with at least one of: the transmission of the dataload sequence; and the receiving of the acceptance status from the target hardware on different stages of dataload operation.

Abstract: The present disclosure relates to system(s) and method(s) for generating an Omni-channel support platform. The method comprises integrating a multi-channel support system with a blockchain framework. Further, the method comprises generating an Omni-channel support platform based on the integration. The Omni-channel support platform comprises an Omni-channel support block for a user from a set of users. The Omni-channel support block comprises a support ledger and a support smart contract for the user. The Omni-channel support block further comprises capturing transaction data associated with the user from the multiple support channels. Further, the Omni-channel support block comprises recommending one or more resolutions to each user upon based on a support request.

Abstract: Disclosed is a method and system for generating test scripts. The method comprises receiving at least one of a video and/or an audio captured during manual testing of a Device Under Test (DUT) comprising an output unit or a Graphical User Interface (GUI) based application. At least one of the video and/or the audio is processed for generating a test script for the DUT or the GUI based application. Generation of the test script may include allowing a user to pause at least one of the video and/or the audio at a particular time frame. Using a script generator user interface, input events corresponding to the particular time frame are received. A type of validation is selected for the output unit of the DUT or the GUI based application, and inputs are provided for the validation. The validation is device specific and performed using during runtime test execution.

Abstract: This disclosure relates to method and system for optimally fitting shapes in a 2-Dimensional (2D) sheet. The method includes receiving discretized geometric data corresponding to a 2D shape; generating a pair of copies of the 2D shape including a first copy and a second copy using the discretized geometric data; determining an optimal arrangement of the first copy and the second copy on the 2D sheet to obtain an optimally arranged pair; generating first copy of the optimally arranged pair and second copy of the optimally arranged pair; determining a pair combination with a minimum distance between the first copy and the second copy; calculating a maximum number of repetitions possible for the pair combination on the 2D sheet based on sheet dimensions and a set of pair combination parameters; and identifying an optimal pair combination from a plurality of pair combinations based on the maximum number of repetitions.

Abstract: The invention relates to method and system for patching websites running in a .NET framework environment. The method includes initiating second domain when website hosted on web-server is loaded for first-time. The website includes set of .NET modules, and one or more of the set of .NET modules are of interest. The method further includes creating patched method corresponding to each of the one or more of the set of .NET modules in the second domain by inserting preconfigured tracking code that calls the .NET module in the website via reflection. The method further includes calling, in real-time, the patched method in the second domain upon encountering the corresponding .NET module; monitoring, in real-time, behaviour of the patched method in the second domain; generating notification when the website is unloaded. The second domain is updated with information corresponding to unavailability of the unloaded website upon generating the notification.

Abstract: The disclosure relates to method and system recommending tuning of parameters to generate a data analytics model. The method includes identifying at a data pre-processing stage a pre-processing subset from an associated set of predefined pre-processing methods for a predefined objective. The method includes identifying at a feature selection stage a feature subset from an associated set of predefined feature selection methods for the predefined objective. The method includes identifying at a model training stage a training subset from an associated set of predefined model training methods for the predefined objective. The method further includes generating a plurality of data analytics tuples and selecting a data analytics tuple from the plurality of data analytics tuples. An output result of the data analytics tuple includes highest ranked results for the predefined objective.

Abstract: The invention relates to method and system for managing patched Global assembly cache methods for websites running in .NET framework environment. The method includes initiating a second domain when a website hosted on web-server is loaded for first-time; creating a copy of each of the one or more .NET modules for reverse patching; creating a runner method to call the copy of each of the one or more .NET modules; creating a patched method corresponding to each of the one or more .NET modules in the second domain; calling, in run-time, the patched method in second domain upon encountering the corresponding .NET module. Further, calling patched method includes calling the runner method via reflection in run-time. Calling the runner method includes calling the copy of the corresponding .NET module via reverse patching in run-time. The method further includes monitoring, in real-time, behaviour of the patched method in the second domain.

Abstract: The invention relates to method and system for enhancing computer network security. The method includes receiving a plurality of requests from client devices to avail a plurality of responses from services running on servers; determining a URL pattern for each of the plurality of requests based on URL associated with that request; determining a request data signature for each of the plurality of requests or a response data signature for each of the plurality of responses based on a set of request parameters associated with that request or based on a set of response parameters associated with that response, respectively, using a first machine learning model; and determining an authenticity of each of the plurality of requests based on the URL pattern and the data signature associated with that request, or an authenticity of each of the plurality of responses based on the data signature associated with that response.

Abstract: This disclosure relates to system and method for managing an insect swarm using a plurality of drones. The method includes detecting an insect swarm. The method may further include tracking a movement of the insect swarm. The method further includes communicating, with remaining of the plurality of drones, to dynamically align in a position based on the tracking so as to make a drone formation. The method further includes magnetizing, by at least some of the plurality of drones, one or more drone couplers for electromagnetically coupling the at least some of the plurality of drones with each other as per the drone formation. The method further includes casting, by each of the plurality of drones, a net to trap insects in the insect swarm. The method further includes supplying, by each of the plurality of drones, a high voltage to the net to decapitate the insects.

Abstract: The disclosure relates to method and system for evaluating luminance in Augmented Reality (AR) applications. The method includes receiving a plurality of video frames corresponding to an AR object in a real-world environment at a current camera angle; for each of the plurality of video frames, subtracting the set of AR object pixels from the set of environment pixels in a frame; calculating mean luminance value corresponding to the set of AR object pixels in each of the at least one of the plurality of blocks in the frame and corresponding to each of the plurality of blocks of the grid in the real-world environment through a light sensor; comparing mean luminance value for each of the plurality of blocks of the grid with mean luminance value corresponding to the set of AR object pixels; and evaluating luminance of AR object at the current location in the AR application.

Abstract: The invention relates to method and system for providing visual explanations for image analytics decisions. The method includes extracting a set of local features from each of a plurality of image instances using a deep learning (DL) model; determining a feature list by aggregating the set of local features from each of the plurality of image instances; generating a two-dimensional (2D) pixel map based on the feature list; superimposing the 2D pixel map of aggregated features on each of the plurality of image instances; and providing a visual explanation for an image analytics decision on one or more of the plurality of image instances based on superimposition.

Abstract: This disclosure relates to method and system for managing items in warehouses through distributed ledger. The method includes sending a request from a first warehouse to each of a plurality of warehouses to add an item to an Enterprise Resource Planning (ERP) system associated with each of the plurality of warehouses and to a distributed ledger. For each of the plurality of warehouses, the method further includes checking whether the item exists in an ERP system associated with a warehouse based on the metadata of the item within the request from the first warehouse. The method further includes receiving a response to the request from each of the plurality of warehouses based on the checking. The method further includes managing the item in the ERP system associated with each of the plurality of warehouses and the distributed ledger based on the response received from each of the plurality of warehouses.

Abstract: A method and system for providing profile-based data and visualization access through a semantic domain layer is disclosed. In some embodiments, the method includes receiving a user request to access data. The method further includes determining a user profile from a plurality of user profiles associated with the user. The method further includes extracting a first access level from a first set of access levels associated with the user profile. The method further includes mapping the user profile with a domain object from a plurality of domain objects, based on a second access level from the first set of access levels associated with the domain object. The method further includes selectively rendering at least a portion of the data requested in the user request to the user, in response to mapping the user profile with the domain object.

Abstract: A staircase mobility system is disclosed. The system includes a docking assembly that is configured to dock or undock with a dockable seat assembly. The docking assembly includes support rods configured to engage or disengage with the dockable seat assembly when docked or undocked, respectively. Further, the system includes a drive assembly coupled to the docking assembly. The drive assembly includes a motor that is configured to drive the docking assembly along a guide rail in a forward or reverse direction, and to operate the docking assembly to dock or undock with the dockable seat assembly.

Abstract: A method for transmitting media content from a cloud content delivery network (CCDN) to a plurality of in-flight wireless media servers (WMSs) is disclosed. In some embodiments, the method includes receiving, by each of the plurality of in-flight WMSs, position data with respect to at least one of a movement, an altitude, or a geo-spatial location of an aircraft; identifying, by the plurality of in-flight WMSs, one or more elevated in-flight WMSs for receiving the media content. The method for identifying further includes determining a respective content-reception state of each of the plurality of in-flight WMSs; determining a respective content-reception suitability score for each of the plurality of in-flight WMSs; and identifying the one or more elevated in-flight WMSs. The method further includes receiving, by each of the one or more elevated in-flights WMSs, the media content from a suitable CCDN server in the CCDN.

Abstract: Disclosed is a method for providing visual guidance in a medical surgery. The method comprises registering, within a virtual assistance device having a combination of a virtual medical implant, an Intra-Medullary (IM) nail model and a virtual insertion handle model, each of a physical IM nail implant and a physical insertion handle. Further, a physical drill gun is registered within the virtual assistance device having a drill gun model. Further, coordinates of the one or more holes on the physical IM nail implant are registered within the virtual assistance device. The physical IM nail is inserted into a target. The virtual impression of the physical drill gun is aligned over the one or more holes based on the coordinates. Further, one or more surgical steps are performed by the physical drill gun based on the aligning.

Abstract: A method and system dynamically predicting driving range of vehicles is disclosed. In some embodiments, the method includes dynamically determining real-time values corresponding to in-transit parameters associated with vehicle; and determining, via trained Machine Learning (ML) model, variance in in-transit parameters when compared with pre-defined parameters. Determining the variance includes identifying overlapping subset of parameters between in-transit parameters and pre-defined parameters; identifying non-overlapping subset of parameters between in-transit parameters and pre-defined parameters; determining difference in each of the real-time values determined for overlapping subset of parameters with corresponding optimal value; and computing variance based on non-overlapping subset of parameters and difference in real-time values determined for the overlapping subset of parameters.

Abstract: A method for securing metaverse premises using Non-Fungible Tokens (NFTs), is disclosed. In some embodiments, the method includes receiving an access request corresponding to at least one of a plurality of premises, from an avatar of a user. The method further includes retrieving the metadata associated with the avatar of the user based on the NFT, upon receiving the access request. The method further includes validating the access request received from the avatar based on the metadata. The method to validate further includes scanning the metadata associated with the avatar to verify information associated with the avatar based on the NFT. The method further includes providing an access of the at least one of the plurality of premises to the avatar upon validating the access request.

Abstract: The invention relates to method and system for automatically generating and labelling reference images. In some embodiments, the method includes tracking a plurality of highlighted objects in a set of input images along with audio data associated with the plurality of highlighted objects. The method further includes cropping each of the plurality of highlighted objects from each of the set of images based on tracking, contemporaneously capturing an audio clip associated with each of the plurality of highlighted objects from the audio data based on tracking, and labelling each of the plurality of highlighted objects based on text data generated from the audio clip associated with each of the plurality of objects to generate a labelled reference image.

Abstract: Disclosed is a reconfigurable parallel 3-Dimensional (3-D) convolution engine for performing 3-D Convolution and parallel feature map extraction on an image. The reconfigurable parallel 3-D convolution engine further comprises a plurality of CNN reconfigurable engines configured to perform 3-D convolution, in parallel, to process a plurality of feature maps, a kernel memory space, present in each instance of CNN reconfigurable engine, capable for holding a set of parameters associated to a network layer having each operational instance of CNN reconfigurable engine, and at least one memory controller, an Input Feature Map Memory (FMM) cluster and an Output FMM cluster.