09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Digital signage; digital signage display panels; digital signage monitors; electronic displays, namely, digital signage Consultancy in the field of software design; consulting in the field of information technology; cloud storage services for electronic data; software as a service (SAAS) services featuring software for digital signage solutions; software as a service (SAAS) services featuring software for streaming, broadcasting, delivering, distributing and transmitting audio, video, and multimedia content; artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for facial and speech recognition, use in database management, and machine learning; providing temporary use of non-downloadable cloud-based software for out-of-home television network solutions; software as a service (SAAS) services featuring software using artificial intelligence (AI) for searching, analyzing, monitoring, tracking, browsing, managing, transmitting, programming, advertising, and creating user-generated content in the field of sports, retail, transportation, media, and entertainment
2.
SYSTEM AND METHOD OF PREDICTING CATASTROPHIC INCIDENTS IN A SERVICE SYSTEM
Disclosed herein an incident prediction system and a method for predicting catastrophic incidents in a service system. The system receives one or more tickets for one or more services along with information of the one or more tickets. Further, the system identifies a set of tickets for each of a predefined event window and a predefined non-event window from the one or more tickets and identifies a set of words for each of the set of tickets using a prediction model. Furthermore, the system identifies cluster data for each set of tickets from pre-defined clusters using a ticket clustering model and identifies presence of one or more sequence rules in cluster data. Finally, the system generates a risk score for each of the one or more services and root-causes for the set of tickets based on the one or more sequence rules, one or more parameters and creation time.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Consultancy in the field of software design; planning,
design, and management of information technology systems;
consulting services in the field of cloud computing;
consulting services in the field of software as a service
(SaaS); business technology software consultation services;
providing technology information in the field of technology
investments; application service provider featuring
application programming interface (API) software for
integration of optimization, technology, and analytics
processes into a digital platform; hosting a website
featuring non-downloadable software using artificial
intelligence for use in machine learning and robotic process
automation in the field of technology.
4.
COMPUTER IMPLEMENTED METHOD AND SEQUENCE DESIGNING SYSTEM FOR DESIGNING CELL NUCLEOTIDE SEQUENCES
The present disclosure relates to field of cell nucleotide sequence designing and discloses method and system for designing cell nucleotide sequences. The sequence designing system receives historical data related to results of procedures related to analysis of cell nucleotide sequences from databases. Further, the sequence designing system executes an Artificial Intelligence (AI) based prediction model using vectorized data corresponding to the historical data. Thereafter, the sequence designing system predicts a plurality of cell nucleotide sequences having values of cell characteristics within a predefined threshold values of the cell characteristics for a target cell nucleotide sequence using the AI based prediction model. Furthermore, the sequence designing system identifies feasible cell nucleotide sequences among the plurality of cell nucleotide sequences based on predefined reference information. Finally, the sequence designing system generates an explanation for the ranked list of the feasible cell nucleotide sequences, thereby designing the cell nucleotide sequences.
Embodiments of present disclosure relates to method and system of controlling operations of the vehicle based on the requirements of the occupants in the vehicle. The occupant support system receives data from a plurality of sources installed in the vehicle. The occupant support system identifies one or more unstated requirements of an occupant in the vehicle based on the data. The occupant support system determines one or more changes associated with one or more operations of the vehicle, based on the one or more unstated requirements. The occupant support system determines feasibility of implementing the one or more changes for controlling the one or more operations of the vehicle. Thereafter, the occupant support system controls the one or more operations of the vehicle, based on the feasibility.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Consultancy in the field of software design; planning, design, and management of information technology systems; consulting services in the field of cloud computing; consulting services in the field of software as a service (SaaS); business technology software consultation services; providing technology information in the field of technology investments; application service provider featuring application programming interface (API) software for integration of optimization, technology, and analytics processes into a digital platform; hosting a website featuring non-downloadable software using artificial intelligence for use in machine learning and robotic process automation in the field of technology.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Consultancy in the field of software design; planning, design, and management of information technology systems; consulting services in the field of cloud computing; consulting services in the field of software as a service (SaaS); business technology software consultation services; providing technology information in the field of technology investments; application service provider featuring application programming interface (API) software for integration of optimization, technology, and analytics processes into a digital platform; hosting a website featuring non-downloadable software using artificial intelligence for use in machine learning and robotic process automation in the field of technology.
8.
METHOD AND SYSTEM FOR IDENTIFYING AN OPTIMIZED SET OF CODE COMMITS TO PERFORM VULNERABILITY REMEDIATION
Embodiments of present disclosure relates to method and remediation system of performing remediation for managing vulnerabilities in application. The remediation system receives data related to source code associated with plurality of vulnerabilities and target code of application from one or more data sources. The remediation system identifies commit-log comprising plurality of code commits by extracting features, code commits and test cases from one or more data sources. The remediation system determines lower bound limit and upper bound limit to identify optimal code commits log from commit-log. Thereafter, the remediation system performs remediation by generating security patches for optimal code commits log. Thus, the present disclosure automatically identifies optimal code commits log for which security patches needs to be generated without any manual intervention.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business management consultancy services; business assistance services, namely, assisting healthcare patients in managing and processing pharmacy billing Consulting services in the field of software as a service (SAAS); providing online non-downloadable computer software platforms for management and processing of pharmacy billing for healthcare patients; SAAS services featuring software for hosting a digital platform for managing, processing, tracking, analyzing, and reporting data in the healthcare and medical billing field
42 - Scientific, technological and industrial services, research and design
Goods & Services
Consultancy in the field of software design; planning, design and management of information technology systems; computer programming and software design; computer technology support services, namely, help desk services; consulting services in the field of software as a service (SAAS); software as a service (SAAS) services featuring software for use in the oil and gas, pharmaceutical, automotive, and aerospace industries.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Consultancy in the field of software design; planning, design and management of information technology systems; computer programming and software design; computer technology support services, namely, help desk services; consulting services in the field of software as a service (SAAS); software as a service (SAAS) services featuring software for accessing, collecting, managing, tracking, analyzing, and reporting data for use in the oil and gas, pharmaceutical, automotive, and aerospace industries
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business management consultancy services; business consulting in the field of patient safety Consulting services in the field of software as a service (SAAS); Software as a service (SAAS) services featuring software for accessing, collecting, managing, tracking, analyzing, and reporting data in the pharmaceutical, medical, and healthcare fields; cloud computing featuring software for accessing, collecting, managing, tracking, analyzing, and reporting data for use in the fields of healthcare, medical information, clinical trials, and healthcare data analytics
13.
METHOD AND SYSTEM FOR MANAGING ENTERPRISE DIGITAL AUTOMATION PROCESSES
Disclosed herein is a method and system for managing enterprise digital automation processes. In an embodiment, a plurality of automation requests, related to a plurality of enterprise digital automation processes is prioritized based on an automation requests information. Further, a plurality of tasks from a project application repository is selected for executing the plurality of automation requests. Subsequently, execution of the plurality of automation requests is monitored in real-time by generating a unified portfolio view of the plurality of tasks and by tracking a run-time cost and benefit for each of the plurality of tasks. Furthermore, one or more alerts related to the execution of the plurality of automation requests is generated. Finally, the execution of the plurality of automation requests is optimized by resolving each of one or more alerts using pretrained Artificial Intelligence (AI) model trained on one or more historical events associated with plurality of automation requests.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business management consultancy services; Business advisory and consulting services in the field of data analytics in the fields of information technology, software design, cloud computing, and artificial intelligence Consultancy in the field of software design; Computer services, namely, remote management of the operational technology (OT) systems of others; Computer services, namely, on- site management of operational technology (OT) systems of others; Planning, design and management of information technology systems; Computer programming and software design; Consulting services in the field of cloud computing; Computer technology support services, namely, help desk services; Consulting services in the field of software as a service (SAAS), except software services featuring geographic information system software; Software as a service (SAAS) services featuring software for the automation and management of information technology systems, except software services featuring geographic information system software; Software as a service (SAAS) services featuring software using artificial intelligence in the field of cloud computing for data analytics; Technology advisory and consulting services in the fields of information technology, software design, cloud computing, and artificial intelligence; All of the aforementioned in the field of business-focused operational technology systems and not in the field of geographic information systems software
15.
METHOD AND SYSTEM FOR ACCURATELY COUNTING ITEMS IN A STOREHOUSE
The present disclosure describes method and apparatus for counting items in a storehouse. The method includes selecting one or more images from the plurality of images and pre-processing the selected images. The method includes processing the pre-processed images using a boundary detection model for determining bounding boxes of visible items present in the pre-processed images while removing partially visible items, side surfaces, and items of neighboring pallets present in the pre-processed images. The method further includes determining 3D coordinates of each bounding box and estimating height-depth levels of each visible item using the 3D coordinates to generate a 2D stacking pattern of each item layer. The method includes determining the item count by correlating the 2D stacking pattern of each layer with predefined stacking patterns. The present disclosure facilitates accurate counting of items even when rack arrangements are dynamic, items are stacked in non-uniform patterns, and under variable lighting conditions.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business management consultancy services; Business advisory and consulting services in the fields of information technology, software design, cloud computing, and artificial intelligence. Consultancy in the field of software design; Computer services, namely, remote management of the OT systems of others; Computer services, namely, on-site management of OT systems; Planning, design and management of information technology systems; Computer programming and software design; Consulting services in the field of cloud computing; Computer technology support services, namely, help desk services; Consulting services in the field of software as a service (SAAS); SAAS services featuring software for the automation and management of information technology systems; Software as a service (SAAS) services featuring software using artificial intelligence in the field of cloud computing.
17.
Method and system for optimizing video content acquisition and delivery during events
Disclosed herein is a method and system for optimizing video content acquisition and delivery during events. In an embodiment, an optimal video content for transmission is selected by analyzing plurality of videos of a live event captured by one or more video capturing units. Further, optimal video content is transmitted to a Media Processing Center (MPC) using a predefined unicast network. Furthermore, the optimal video content is processed into one or more predefined streaming formats corresponding to one or more streaming channels of a hybrid transmission service. Subsequently, an optimal delivery channel for each of a plurality of users is selected by analyzing a plurality of user parameters associated with the plurality of users and a plurality of sociological parameters associated with the live event. Finally, the optimal video content is transmitted to the plurality of users through the optimal delivery channel selected for each of the plurality of users.
G06F 15/173 - Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star or snowflake
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
18.
METHOD AND SYSTEM FOR PREDICTING DEMAND FOR SUPPLY CHAIN
A method and a system for predicting demand for a supply chain is disclosed. The method includes feeding input vectors to a trained Machine Learning (ML) model, for a future time-period. The input vectors include an intensity vector corresponding to an intensity of a possible disruption-event at each point of time within the future time-period and a duration vector corresponding to the duration of the possible disruption-event, and one or more extrinsic data vectors. The method further includes obtaining a demand for a target product in the future time-period from the trained ML model based on the input vectors.
A method and a system for providing recommendations to users by securely accessing user sensitive data in a trusted execution environment (TEE) is disclosed. The method includes receive a request comprising a unique user identifier for accessing user sensitive data corresponding to at least one user. The method further includes validating a source of the request; providing an access to the user sensitive data upon identifying the source of the request to be the trusted application. The method for providing the access includes hosting a secure application session with the trusted application based on the unique secret key. The method further includes processing the user sensitive data for generating one or more user specific product and service recommendations corresponding to each of the at least one user; and rendering the one or more user specific product and service recommendations to each of the at least one user.
The disclosure relates to system and method for generating recommendations for capturing images of a real-life object with essential features. The method includes detecting an Augmented Reality (AR) plane for a target object. The method further includes capturing a set of poses corresponding to the target object and a set of coordinate points in the AR plane. The set of poses includes a tracking marker, and the set of coordinate points indicates a location of the target object. The method further includes determining an instant distance between the AR imaging device and the target object, and an instant angle of the AR imaging device with respect to the target object. The method further includes dynamically generating the recommendations for adjusting a position and an orientation of the AR imaging device with respect to the target object.
Disclosed herein is a method and system for determining quality of an input document during risk and compliance assessment. The method includes receiving input document for risk and compliance assessment, identifying a document type, and at least one sub-type of the input document using a Natural Language Processing (NLP) technique and a trained neural network model. Layout of content present in the input document is detected based on each of a plurality of segments extracted from content and structural parameters associated with respective segments. A document review model is identified from a plurality of document review models based on type and at least one sub-type of input document. Thereafter, the quality of the input document and a compliance score is determined by identifying one or more deviations of content of the input document from content of a predefined template for the input document.
Disclosed herein is method and a navigation system for dynamically controlling navigation of an autonomous vehicle. In an embodiment, method comprises determining a trajectory path, comprising a plurality of path segments including at least one curved path segment and a straight path segment, by adjusting a plurality of waypoints in a base route of the autonomous vehicle and joining the plurality of waypoints using a predefined path planning model. Thereafter, a velocity profile distribution is generated for the autonomous vehicle by determining a start terminal velocity, an end terminal velocity and acceleration of the autonomous vehicle through each of the plurality of path segments in the trajectory path. Finally, a dynamic motion command is determined and applied to the autonomous vehicle based on the velocity profile distribution for dynamically controlling the navigation of the autonomous vehicle.
Disclosed herein is method and a system for extracting information from an input document comprising multi-format information. In an embodiment, a Hypertext Markup Language (HTML) document corresponding to the input document is created by analyzing the input document comprising documents of multiple data formats. Further, the HTML document is realigned based on a number of columns in each page of the HTML document. Furthermore, a document Identifier (ID) associated with each of the documents is determined in realigned HTML document by classifying information in each of the document pages using a pretrained Machine Learning (ML) model. Subsequently, a hierarchy configuration file, corresponding to the realigned HTML document, is generated based on the document ID. Finally, information from the hierarchy configuration file associated with each of the document ID is extracted by orchestrating one or more data extractors for extracting data attributes from the hierarchy configuration file.
Disclosed herein is method and a system for predicting mutations in Ribonucleic acid (RNA) strains. In an embodiment, a similarity between a new viral RNA strain and reference RNA strains is determined. Further, a strain score for the new viral RNA strain is calculated based on the similarity between the new viral RNA strain and the reference RNA strains. Subsequently, mutation sites for the new viral RNA strain are identified by generating spatial nearness data corresponding to the reference RNA strains based on comparison between the strain score of the new viral RNA strain and the reference RNA strains. Finally, mutations of the new viral RNA strain are predicted by performing a generative modelling of a sequence of the new viral RNA strain with reference to the mutation sites of the new viral RNA strain.
G16B 5/00 - ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
G16B 35/00 - ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
A system and method for selecting candidate drug compounds for a disorder through Artificial Intelligence (AI)-based drug repurposing is disclosed. The method includes extracting data including target protein-protein interaction complex corresponding to disorder from databases through Natural Language Processing (NLP) algorithm; generating semantic knowledge graph for disorder based on extracted data to identify a set of lead compounds; assigning initial rank to each of set of lead compounds based on historical clinical information and semantic knowledge graph, through predictive model; for each of set of lead compounds, determining binding affinity score through AI-based encoder-decoder model; determining molecular structure stability score based on interaction of molecular structures through deep learning model; and assigning final rank to each of set of lead compounds based on binding affinity score, molecular structure stability score, and intermediate clinical trial data.
Present disclosure discloses method and system for assessing health of a wood specimen. Method receives ultrasonic data for each of a plurality of alignments of a transmitter and associated receiver across a cross-section of one or more cross-sections along a length of the wood specimen. The ultrasonic data comprises a pulse velocity, a transit time and a distance travelled by an ultrasonic pulse between the transmitter and the associated receiver. Thereafter, method measures relative features of the wood specimen using the ultrasonic data. Subsequently, method identifies a condition of the cross-section of the wood specimen based on the relative features using a trained ML model. Upon identifying the condition of the cross-section to be defective, method determines a position of a defect in the cross-section of the wood specimen using the relative features and determines a severity of the defect using the trained ML model and the relative features.
A method and system for determining and resolving network issues impacting application performance in multi-domain networks is disclosed. The method includes obtaining at least one of health and performance data associated with an application and one or more alerts related to fault and/or performance issues associated with the application. The method further includes determining at least one of network faults and performance issues that influence at least one of fault and/or performance issues associated with the application. The method further includes determining one or more underlying network problems that impact performance of the application. The method further includes determining at least one appropriate resolution action to address the one or more underlying network problems, implementing the at least one appropriate resolution action; monitoring an effectiveness of the implementation of the at least one appropriate resolution action; and adapting at least one of rules, parameters, and thresholds.
H04L 41/0654 - Management of faults, events, alarms or notifications using network fault recovery
H04L 41/0631 - Management of faults, events, alarms or notifications using root cause analysisManagement of faults, events, alarms or notifications using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
28.
METHOD AND SYSTEM FOR DYNAMICALLY GENERATING ANNOTATED CONTENT FOR AR-VR APPLICATIONS
A method and content annotating system for dynamically generating annotated content for training model for AR-VR applications. The content annotating system receives plurality of images for object associated with AR-VR applications. The content annotating system obtains pre-annotated datasets related to the plurality of images from user. The content annotating system generates plurality of augmented image datasets and extracts set of features from the pre-annotated datasets and the plurality of augmented image datasets. The content annotating systems compares the sets of features to identify ROIs on the plurality of augmented image datasets. Further, the content annotating system generates annotated content for the plurality of augmented image datasets based on comparison. The annotated content and the pre-annotated datasets are used to train model associated with AR-VR applications. Thus, the present disclosure dynamically generates annotated content to train model and detect objects associated with AR-VR applications.
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable computer software for managing and validating transactions using blockchain-based digital identification and credential verification; downloadable computer software for managing transactions using blockchain technology; downloadable computer software for managing and verifying transactions on a blockchain
30.
METHOD AND SYSTEM FOR MAINTAINING SERVICE CONTINUITY OF A ROAMING USER ACROSS MULTIPLE NETWORKS
A method and system for maintaining service continuity of a roaming user across multiple networks is disclosed. The method includes receiving a request for handover of the roaming user from a source network to a target network. The method includes assessing a capability of the target network to accommodate the roaming user arriving from the source network. The method includes performing a Service Level Agreement (SLA) fulfilment negotiation by the target network with the source network. The method further includes configuring the target network to facilitate the handover of the roaming user from the source network to the target network. The method includes transferring the roaming user from the source network to the target network along with the plurality of services. The method includes monitoring efficacy of the service continuity for the transferred roaming user after movement of the roaming user from the source network to the target network.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business advisory and business consulting services in the fields of information technology, software design, and cloud computing; business assistance services, namely, assisting businesses with planning, designing, and managing information technology systems. Consultancy in the field of software design; consulting in the field of information technology; planning, design, and management of information technology systems; computer programming and software design; consulting services in the field of cloud computing; consulting services in the field of software as a service (SAAS).
32.
Zero trust based access management of infrastructure within enterprise using micro-segmentation and decentralized identifier network
A system and method for onboarding and managing assets in a decentralized identity network is disclosed. The method may include receiving an authorization proof from a member of a team of an enterprise to access an asset in the decentralized identity network. The method may further include validating the member of the team through a set of validator nodes. The method may further include provisioning the asset on the decentralized identity network. The method may further include onboarding the provisioned asset on the decentralized identity network. The method may further include generating a set of derived credentials of the onboarded asset. The method may further include validating a user access request corresponding to at least one of owners of an application and user to access the asset. The method may further include dynamically validating an employee access request from an employee and the unique asset DID to access the asset.
G06F 21/00 - Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
33.
System and method for generating automation test scripts dynamically for human machine interface testing
Disclosed herein is a system and a method for generating automation test scripts dynamically for Human Machine Interface (HMI) testing. Test configurations are generated for a Device Under Test (DUT) (115) based on a screen transition dataset upon receiving a user request (105). Based on test configurations and the screen transition dataset, HMI components located in a test path are identified for transitions from source HMI screens to destination HMI screens. Based on the HMI components, reference images are determined for the destination HMI screens from a screen design dataset. The test configurations are executed on the DUT (115) via an external simulating device (113) and transition associated with the test path is validated based on matching the real time destination HMI screen image with the reference image. Based on a validation result, automation test report (117) is generated for the DUT (115).
A system and method for providing assistance to vehicle occupants is disclosed. The method includes the steps of receiving a set of static information and a set of dynamic information associated with each of a vehicle, a set of Human Machine Interfaces (HMIs), and an occupant within the vehicle; processing the set of static information and the set of dynamic information through at least one of a first Artificial Neural Network (ANN) Model and a rule engine; determining an accessibility score for the occupant in response to an event based on an output of the processing; generating at least one of at least one accessibility compliant HMI content for at least one of the set of HMIs and vehicle control content for the vehicle based on the accessibility score; and executing at least one of the at least one accessibility compliant HMI content and the vehicle control content.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
Present invention discloses method and system for generating knowledge graph and sub-graph clusters to perform a root cause analysis. Method comprising extracting at least one of objects, data entities, links between the objects and the data entities, or relationships between the objects and the data entities from input content. Thereafter, method comprising generating a knowledge graph from the extracted data and sub-graphs from the knowledge graph using an unsupervised ML technique and extracting graph data structure information for each sub-graph. Subsequently, method comprising generating root cause model based on the sub-graphs and the graph data structure information and generating at least one sub-graph cluster and corresponding probabilistic graphical model using the root cause model and the knowledge graph. Generated Knowledge graph, root cause model and at least one sub-graph cluster and corresponding probabilistic graphical model are used to determine a root cause for an issue from an issue content.
The present disclosure is related to Virtual Desktop Infrastructure (VDI) that discloses a method and system for performing dynamic patch management in VDI platform. A patch managing system retrieves operational data and vulnerability remediation data related to IT services and infrastructures of the VDI platform from first and second data sources. Thereafter, the patch managing system detects gap in patching level based on operational data, vulnerability remediation data and corresponding industrial standard, and rolls out patches based on detected gap in patching level. Further, a patch prediction score that facilitates in identifying a probability of rolling back the patches rolled out for patching IT services and infrastructures of VDI platform is determined based on prediction parameters. A plan is generated based on the patch prediction score and executed to optimally patch the patches to IT services and infrastructures of the VDI platform, based on patching rules.
G06F 8/71 - Version control Configuration management
G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
37.
SYSTEM AND METHOD FOR DYNAMICALLY IDENTIFYING CHANGE IN CUSTOMER BEHAVIOUR AND PROVIDING APPROPRIATE PERSONALIZED RECOMMENDATIONS
This disclosure relates to method and system for dynamically identifying change in customer behaviour and providing appropriate personalized recommendations. The method includes, for each of a plurality of transactions and for each of one or more customers, generating customer behaviour data based on customer transaction data and pre-defined product segmentation data; generating a state-action-reward pair based on customer transaction data and the pre-defined product segmentation data; and generating state-behaviour mapping data based on customer behaviour data and the state-action-reward pair. The method further includes training an artificial neural network (ANN) based recommendation model based on the state-behaviour mapping data; predicting a ranked list of next state-action pairs for a target customer, based on current state of target customer and current customer behaviour data for target customer, using the ANN based recommendation model; providing one or more personalized recommendations to target customer based on the ranked list of next state-action pairs.
42 - Scientific, technological and industrial services, research and design
Goods & Services
SAAS services featuring software for service desk management; computer services, namely, remote and on-site management of the OT systems of others; computer programming and software design; computer technology support services, namely, help desk services; consulting services in the field of software as a service (SAAS)
39.
Method and system for recognizing activities in surrounding environment for controlling navigation of autonomous vehicle
A method and activity recognition system for recognising activities in surrounding environment for controlling navigation of an autonomous vehicle is disclosed. The activity recognition system receives first data feed from neuromorphic event-based camera and second data feed from frame-based RGB video camera. The first data feed comprises high-speed temporal information encoding motion associated with change in surrounding environment at each spatial location, and second data feed comprises spatio-temporal data providing scene-level contextual information associated with surrounding environment. An adaptive sampling of second data feed is performed with respect to foreground activity rate based on amount of foreground motion encoded in first data feed. Further, the activity recognition system recognizes activities associated with at least one object in surrounding environment by identifying correlation between both data feed by using two-stream neural network model. Thereafter, based on the determined activities, the activity recognition system controls the navigation of the autonomous vehicle.
This disclosure relates to a method and system for identifying products using digital fingerprints. The method includes receiving, by a product tracking system, a set of images corresponding to a product, wherein the set of images are received along with associated context information. The method generates a set of standardized images by pre-processing the set of images. Each standardized image of the set of standardized images are further segmented into a plurality of zones. A zone wise fingerprint is generated for each zone of the plurality of zones. A product digital fingerprint is generated for the product by combining zone wise fingerprints associated with the set of standardized images, wherein the product digital fingerprint identifies the product.
G06V 10/32 - Normalisation of the pattern dimensions
G06V 10/40 - Extraction of image or video features
G06V 10/24 - Aligning, centring, orientation detection or correction of the image
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/62 - Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extractionPattern tracking
G06V 20/80 - Recognising image objects characterised by unique random patterns
41.
Method and system for remotely monitoring wastewater in manhole of underground drainage network and alerting
The present disclosure relates to wastewater management that provides a method and a system for monitoring a sewer manhole from a remote location. The sewer monitoring system configured in a sewer manhole receives measured values from a level sensor and determines an accuracy error in the measured values for different conditions. The sewer monitoring system resolves the accuracy error in the measured values to obtain accurate measured values by either measuring a level of wastewater in the sewer manhole by setting a first range limit for the measured values dynamically based on an actual depth of the sewer manhole, or iteratively measuring the level of wastewater in the sewer manhole by setting unique a second range limit for the measured values dynamically. A risk associated with the sewer manhole based on the accurate measured values of the level sensor is determined, for monitoring the sewer manhole from a remote location.
G01F 23/00 - Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
42 - Scientific, technological and industrial services, research and design
Goods & Services
SAAS services featuring software for healthcare provider revenue management; design and development of computer software; consulting services in the field of software as a service (SAAS).
43.
Wireless MIMO transceiver system in high speed mobility and method thereof
The disclosure relates to method and system for providing a MIMO transceiver in high speed mobility. The method includes dividing, by the wireless MIMO transmitter, transmission data into a plurality of transmit chains corresponding to an antenna. The method further includes generating for the plurality of transmit chains, a Circularly Pulse Shaped Orthogonal Time Frequency Space (CPS-OTFS) time frequency signal based on a first primary parameter. Value of the first primary parameter is determined based on a first predefined algorithm. The method further includes converting for the plurality of transmit chains, the CPS-OTFS time frequency signal to a CPS-OTFS time domain signal based on at least one of a plurality of secondary parameters. A first plurality of N-point Inverse Fast Fourier Transform (IFFT) are employed on the CPS-OTFS time frequency signal. The first plurality corresponds to the number of sub-carriers and N corresponds to a set of time symbols.
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business advisory and consulting services in the fields of information technology, software design, and cloud computing; business assistance services, namely, assisting businesses with planning, designing, and managing information technology systems Consultancy in the field of software design; consulting in the field of information technology; computer services, namely, on-site planning, design, and management of information technology systems; computer programming and software design; consulting services in the field of cloud computing; consulting services in the field of software as a service (SAAS)
The disclosure relates to system and method for providing assistance to a user using augmented reality. The method includes acquiring a video stream and a set of data associated with a task being performed by a user, in real-time, using a camera and/or a sensor device. The video stream includes sequential frames. The method further includes determining a present state associated with the task based on the sequential frames using an Artificial Neural Network (ANN) based action prediction model; determining scenarios and events corresponding to the scenarios based on the video stream and the set of data using an ANN based augmented intelligence model; and determining sequential instructions required for assisting the user to accomplish the task, dynamically, based on the present state and the events associated with the task, using at least one of a rule-based engine and an ANN based instruction prediction model.
This disclosure relates to system and method for cleaning surfaces using drones. The method includes identifying, by a first drone, a cleaning strip in contact with a surface. The cleaning strip connects a second drone and a third drone. The second drone is communicatively coupled with the third drone. The first drone is communicatively coupled with each of the second drone and the third drone. The method further includes releasing a cleaning agent at a preconfigured pressure upon a current target region of the surface near the cleaning strip. The method further includes relocating the cleaning strip upon the current target region. The method further includes performing a set of oscillations through the cleaning strip across the current target region. Each of the set of oscillations includes coordinating a displacement of the cleaning strip by a predefined distance, alternating towards each of ends of the cleaning strip.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64D 1/18 - Dropping or releasing powdered, liquid or gaseous matter, e.g. for fire-fighting by spraying, e.g. insecticides
B08B 1/00 - Cleaning by methods involving the use of tools
G05D 1/10 - Simultaneous control of position or course in three dimensions
G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
B08B 3/02 - Cleaning by the force of jets or sprays
A method and a system for maneuvering vehicles using adjustable ultrasound sensors is disclosed. The method includes determining at least one first position of an object relative to a vehicle using at least one high range sensor and determining for each of at least one first position of the object non-conformance with one or more object position criteria. The method further includes determining at least one second position of object relative to vehicle, when at least one first position of the object is in non-conformance with one or more object position criteria. The method further includes assigning at least one ultrasound sensor to dynamically focus on the object and maneuvering the vehicle on a trajectory plan based on the at least object attribute. Each of plurality of ultrasound sensors is deployed on rotatable mount and assigned at least one ultrasound sensor is dynamically focused by rotating on associated rotatable mount.
The present disclosure is related to Just-In-Time (JIT) services, that discloses a method and system for providing JIT services to automotive users. A Point of Interest (PoI) service aggregator system may receive a service request from an automotive user, including one of: information related to a preferred PoI service provider, request to recommend PoI service providers, or request to list PoI service providers based on user query. Based on service request, the PoI service aggregator system may perform one of: dynamically on-boarding the preferred PoI service provider, recommending PoI service providers, or providing PoI service providers based on user query. Thereafter, a real-time synchronization may be established between a candidate PoI service provider and the automotive user to enable the candidate PoI service provider to determine arrival events including an estimated time of arrival and non-arrival events of the automotive user, to provide JIT service to the automotive user.
System and method of detecting infestation in agricultural products is disclosed. In one embodiment, an infestation detection system captures hyperspectral imaging data and depth imaging data for a plurality of points on an agricultural product upon directing a light source at the agricultural product. The system analyses the captured imaging data to derive morphological details as well as spectral signatures for complete 360° view of the plurality of points on the agricultural product. In an embodiment, the spectral signatures may be corrected for one or more pixels associated with the plurality of points in the agricultural product by integrating the hyperspectral imaging data with the depth imaging data. The system further classifies one or more regions of the agricultural product based on matching of spectral signatures for the one or more pixels with pre-defined spectral signatures stored for a plurality of agricultural products, and accordingly detect infestation.
G06K 9/62 - Methods or arrangements for recognition using electronic means
G01N 23/04 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material
G01B 11/22 - Measuring arrangements characterised by the use of optical techniques for measuring depth
G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
G01N 23/083 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and measuring the absorption the radiation being X-rays
The present disclosure relates to generating maneuvering trajectories using Machine Learning (ML) model. The ML model scores each candidate maneuvering trajectories based on a plurality of dynamic profile parameters. A candidate maneuvering trajectory from a plurality of candidate maneuvering trajectories, having a best trajectory score is selected as the final maneuvering trajectory and is provided to the vehicle for navigating according to the final maneuvering trajectory. The final maneuvering trajectory is the most ideal trajectory as it is generated using the ML model based on the plurality of dynamic profile parameters. Also, the vehicle navigation is most efficient when navigated according to the final maneuvering trajectory.
G01C 21/36 - Input/output arrangements for on-board computers
B60R 16/023 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for transmission of signals between vehicle parts or subsystems
53.
System and method for diagnosing a disease using image classification
System and method for diagnosing a disease using image classification is provided. The method includes receiving diagnostic images associated with a subject. The diagnostic images comprise a first image and a second image captured at a first instance of time and at a second instance of time, respectively. The method further includes extracting feature maps from the first image and the second image, using a first pipeline and a second pipeline of stacked convolutional layers of a temporal convolutional neural network (CNN) model respectively. The method further includes identifying relevant feature maps from the feature maps using temporal CNN layer of the temporal CNN model, generating a concatenated feature map based on the relevant feature maps, determining an image class corresponding to the second image using fully connected layers of the temporal CNN model, and diagnosing the disease associated with the subject based on the image class.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G06F 18/213 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods
This disclosure relates to method and system for certificate-less security management of interconnected hybrid resources. The method includes selecting at least one hybrid resource from a plurality of hybrid resources in network to install pre-calculated security configuration. The method further includes receiving a One Time Password (OTP) valid for pre-configured time period, in response to an identity generation request for a hybrid resource; installing security data payload including the OTP and the pre-calculated security configuration, in the hybrid resource; receiving an identity issuance request from the hybrid resource through a secure channel upon installation of security data payload in the hybrid resource; assigning unique identity to the hybrid resource upon successful validation of the OTP received in identity issuance request; and generating, upon assignment, metadata corresponding to the hybrid resource for a security association map (SAM) associated with the hybrid resource.
The present invention relates to a method of detecting an anomaly using a plurality of images. The method comprises determining a subset of images from the plurality of images, comprising one or more first features. Further, one or more regions comprising one or more second features are identified in each image from the subset of images. Finally, detecting the anomaly from the subset of images based on the one or more regions. Therefore, accuracy of detecting anomalies is increased by using the subset of images.
Disclosed herein is method and fault detection system for detecting faults in one or more products. In an embodiment, method comprises generating plurality of wavelet coefficients corresponding to transformed images of each of the one or more products and determining a set of invariant features from the plurality of wavelet coefficients. Further, a dynamic set of invariant features is generated by grouping invariant features into a set of groups based on type of the one or more products. Subsequently, the dynamic set of invariant features is quantized based on a predetermined quantization threshold and a representative coefficient signature is associated for each group in the dynamic set of invariant features. Finally, faults in the one or more products are detected by comparing coefficient signatures associated with the one or more products with the representative coefficient signature of each group in the dynamic set of invariant features. In an embodiment, the present disclosure helps in accurate detection of faults in one or more products irrespective of type and characteristics of one or more products.
Disclosed herein is a method and a source code generator for dynamically generating an executable source code for an application. Initially, user inputs related to requirements of an application are received from a user. Subsequently, an application flow corresponding to the application is identified and one or more source codes for the application flow are generated using at least one pre-trained code generation model. Further, one or more best-fit source codes for the application are determined based on similarities among each of the one or more source codes. Finally, the executable source code for the application is generated by validating the one or more best-fit source codes based on historical information related to the one or more executable source codes previously generated by the source code generator. In an embodiment, the present disclosure helps to reduce turnaround time and manual efforts required for developing an application.
This disclosure relates to method and system for validating an Autonomous Vehicle (AV) stack. The method may include receiving an Operational Design Domain (ODD) and real-world data for evaluating at least one of an Advanced Driver Assistance System (ADAS) and the AV. The ODD is based on at least one feature of at least one of the ADAS and the AV. For each of a plurality of iterations, the method may further include generating a driving scenario based on the ODD of the AV and the real-world data through a Quality of Ride Experience (QoRE)-aware cognitive engine, plugging and running at least one of the ADAS and the AV algorithm based on the driving scenario, and determining a set of performance metrics corresponding to the at least one feature of at least one of the ADAS and the AV in the driving scenario based on the simulating.
B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
B60W 50/06 - Improving the dynamic response of the control system, e.g. improving the speed of regulation or avoiding hunting or overshoot
B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Business consultancy and business management consultancy services; business consultancy and advisory services in the fields of information technology and software design; consultancy and advisory services in the field of business strategy; business assistance services, namely, assisting businesses with assessing, guarding against and addressing cybersecurity threats to business systems; business advisory services in the field of cybersecurity and risk management; business management and consultation services for others in the field of information technology solutions involving cybersecurity
(2) Consultancy and information services relating to information technology, information technology architecture, infrastructure and computer system integration; information technology consultation and information services relating to information technology in the fields of enterprise resource planning, business process management, product life cycle management, customer relationship management, supply chain management, application management, network management, data analytics, cyber security, natural language processing, database management, electronic procurement of goods and services and back office transaction processing; engineering services relating to information technology; providing a database of information relating to information technology; research and design in the field of information technology, namely, design of computer software, computer firmware, computer hardware and computer software systems; implementation and maintenance of computer software, implementation and integration of mobile applications and mobile websites, computer firmware and computer software systems; information technology testing services, namely, testing of computers, computer software, computer hardware and computer systems for others; quality control services and quality control auditing in the field of information technology for others; consultancy in the field of computer hardware, computer programming, maintenance of computer software, updating of computer software, computer software design, computer systems analysis and integration; developing and implementing software and IT solutions in the field of productivity, accelerating processes and process automation, and platform as a service (PAAS); application service provider namely, hosting software for use by others for use in delivering and sharing applications and data over computer networks; software as a service (SAAS) services featuring software for use in delivering and sharing applications and data over computer networks; development and implementation of software and technology solutions for the purpose of e-commerce, digital marketing platforms, online social collaboration, and social customer relationship management; technology consultation in the field of cybersecurity; cybersecurity services in the nature of restricting unauthorized access to computer systems; computer programming consultancy in the field of cybersecurity; cybersecurity risk assessment services; cybersecurity risk management services; consulting services in the field of cloud computing; computer technology support services, namely, help desk services; computer services, namely, remote management of the operational technology systems of others; computer services, namely, on-site management of operational technology systems
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business consultancy and business management consultancy services; business consultancy and advisory services in the fields of information technology and software design; consultancy and advisory services in the field of business strategy; business assistance services, namely, assisting businesses with assessing, guarding against and addressing cybersecurity threats to business systems; business advisory services in the field of cybersecurity and risk management; business management and consultation services for others in the field of information technology solutions involving cybersecurity. Consultancy and information services relating to information technology, information technology architecture, infrastructure and computer system integration; information technology consultation and information services relating to information technology in the fields of enterprise resource planning, business process management, product life cycle management, customer relationship management, supply chain management, application management, network management, data analytics, cyber security, natural language processing, database management, electronic procurement of goods and services and back office transaction processing; engineering services relating to information technology; providing a database of information relating to information technology; research and design in the field of information technology, namely, design of computer software, computer firmware, computer hardware and computer software systems; implementation and maintenance of computer software, implementation and integration of mobile applications and mobile websites, computer firmware and computer software systems; information technology testing services, namely, testing of computers, computer software, computer hardware and computer systems for others; quality control services and quality control auditing in the field of information technology for others; consultancy in the field of computer hardware, computer programming, maintenance of computer software, updating of computer software, computer software design, computer systems analysis and integration; developing and implementing software and IT solutions in the field of productivity, accelerating processes and process automation, and platform as a service (PAAS); application service provider namely, hosting software for use by others for use in delivering and sharing applications and data over computer networks; software as a service (SAAS) services featuring software for use in delivering and sharing applications and data over computer networks; development and implementation of software and technology solutions for the purpose of e-commerce, digital marketing platforms, online social collaboration, and social customer relationship management; technology consultation in the field of cybersecurity; cybersecurity services in the nature of restricting unauthorized access to computer systems; computer programming consultancy in the field of cybersecurity; cybersecurity risk assessment services; cybersecurity risk management services; consulting services in the field of cloud computing; computer technology support services, namely, help desk services; computer services, namely, remote management of the operational technology systems of others; computer services, namely, on-site management of operational technology systems.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business consultancy and business management consultancy services; business consultancy and advisory services in the fields of information technology and software design; consultancy and advisory services in the field of business strategy; business assistance services, namely, assisting businesses with assessing, guarding against and addressing cybersecurity threats to business systems; business advisory services in the field of cybersecurity and risk management; business management and consultation services for others in the field of information technology solutions involving cybersecurity Consultancy in the field of information technology, information technology architecture, infrastructure and computer system integration; information technology consultation and information technology services in the fields of enterprise resource planning, business process management, product life cycle management, customer relationship management, supply chain management, application management, network management, data analytics, cyber security, natural language processing, database management, electronic procurement of goods and services and back office transaction processing; engineering services relating to information technology; research and design in the field of information technology, namely, design of computer software, computer firmware, computer hardware and computer software systems; implementation and maintenance of computer software, implementation and integration of mobile applications and mobile websites, computer firmware and computer software systems; information technology testing services, namely, testing of computers, computer software, computer hardware and computer systems for others; quality control services and quality control auditing in the field of information technology for others; consultancy in the field of computer hardware, computer programming, maintenance of computer software, updating of computer software, computer software design, computer systems analysis and integration; developing and implementing software and IT solutions in the field of productivity, accelerating processes and process automation, and platform as a service (PAAS); application service provider, namely, hosting software for use by others for use in delivering and sharing applications and data over computer networks; software as a service (SAAS) services featuring software for use in delivering and sharing applications and data over computer networks; development and implementation of software and technology solutions for the purpose of e-commerce, digital marketing platforms, online social collaboration, and social customer relationship management; technology consultation in the field of cybersecurity; cybersecurity services in the nature of restricting unauthorized access to computer systems; computer programming consultancy in the field of cybersecurity; cybersecurity risk assessment services; cybersecurity risk management services; consulting services in the field of cloud computing; computer technology support services, namely, help desk services; computer services, namely, remote management of the operational technology systems of others; Computer services, namely, on-site management of operational technology systems
62.
Method and system for determining stock in an inventory
The present invention relates to a method of determining stock in an inventory. The method comprises obtaining one or more images comprising one or more objects. Further, estimating a three dimensional (3D) location of a Stock Keeping Unit (SKU) marker associated with each of one or more visible objects. Furthermore, determining a stacking pattern of the one or more objects for each level on the pallet using one of the 3D location of SKU marker and a learning model. Thereafter, detecting at least one of presence or absence of one or more undetected objects at each level based on the stacking pattern and the 3D location of the SKU marker. Finally, determining the stock in the inventory based on the presence or the absence of the one or more undetected objects and the one or more visible objects.
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
The disclosure relates to method and system for image scaling. The method includes determining a nature of image scaling required to be performed on an input image based on a vertical scaling ratio and a horizontal scaling ratio and includes determining if the image scaling is an upscaling or a downscaling, a symmetric scaling or an asymmetric scaling. The method further includes determining an overall scaling ratio based on a lower or an equal of the vertical scaling ratio and the horizontal scaling ratio. The method further includes scaling an input image to a target image using a polyphase finite impulse response (FIR) scaling filter based on the nature of the image scaling, the overall scaling ratio, and a structure of the polyphase FIR scaling filter. The scaling includes dynamically performing at least one of duplication of lines, addition of filler lines, duplication of pixels, and addition of filler pixels.
The disclosure relates to system and method for managing security risk of information technology (IT) systems in an enterprise. The method includes determining valid trustware components that need to be evaluated for security risk of an IT system within the enterprise; correlating information associated with each of the valid trustware components in a set of data repositories; generating a mapping list comprising the valid trustware components, test cases corresponding to each of the valid trustware components, and test environments corresponding to each of the valid trustware components based on the correlation; triggering trustware security units for testing the valid trustware components based on the mapping list; and identifying security issues associated with the valid trustware components based on the testing. The trustware security units are arranged in a sequential manner or a parallel manner to align with execution of the test cases corresponding to each of the valid trustware components.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
A method and a system for Augmented Reality (AR) content creation is disclosed. The method includes creating a feature vector corresponding to each of a sequence of frames extracted from a video, based on a plurality of features captured. The method further includes determining a vector distance between each of two consecutive frames from the sequence of frames, based on the feature vector associated with each of the two consecutive frames. The method further includes dividing the video into a plurality of frames based on the determined vector distance. The method further includes creating a storyline based on an object and an action associated with the object in each of the plurality of frames, and generating a set of instructions for a user based on the storyline created for each of the plurality of frames and real-time video stream capturing a current state of a user environment.
A system and method for auto resolution of errors during compilation of data segments is disclosed. The method includes the steps of detecting one or more errors to be resolved associated with a data segment, determining an error type for each of the one or more errors from predefined error types based on neuron activations and a code logic derived from the data segment, arranging the one or more errors in a sequence of resolving, predicting a solution for each of the one or more errors, resolving the one or more errors sequentially for generating an error free data segment, and optimizing the error free data segment. The method further includes generating a pseudo code corresponding to the error free data segment and converting the pseudo code into at least one of the plurality of native languages.
This disclosure relates to method and system for optimizing artificial neural network (ANN) classification model and training data thereof for appropriate model behavior. The method may include extracting entities and domain specific entities from the training data for each of classes of the ANN classification mode, determining model parameters of the ANN classification model based on the training data, determining missing data with respect to the training data or the model parameters based on the entities and the domain specific entities for each the classes, iteratively analysing a relative advantage of a modified ANN classification model with a modified training data with respect to the ANN classification model with the training data, and determining an optimized ANN classification model and an optimized training data for appropriate model behavior based on the iterative analysis. The modified data may be generated based on the missing data.
A method and system for navigating vehicles based on road conditions determined in real-time is disclosed. The method includes the steps of receiving a first dataset including an image of a section of a road within a Field of View (FOV) of a camera attached to a vehicle and a second dataset associated with the road. The method further includes detecting edges and a vanishing point in the image, correcting road perspectivity in the image, and determining surface anomalies in the road based on a set of parameters, the second dataset and a Time of Flight technique (ToF), creating a digital elevation model for the image, and assigning a value, in real-time, from a predefined value range to each of a plurality of grids in the image based on a digital elevation model to generate a digital elevation image. The set of parameters includes volume associated with the surface anomalies.
The present invention discloses a method and a system for monitoring manufacturing operation workflow using Structural Similarity (SSIM) index based activity detection. The method comprising receiving video data corresponding to a manufacturing operation activity, extracting a plurality of video frames from the video data, measuring SSIM index for each video frame of the plurality of video frames with respect to next consecutive video frame of the plurality of video frames, comparing the SSIM index of the each video frame with the SSIM index of next consecutive video frame of the plurality of video frames to identify one or more local maxima, and determining at least one manufacturing operation activity based on the one or more local maxima using machine learning technique.
G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
70.
Method and system for performing classification of real-time input sample using compressed classification model
The present disclosure relates to method and system for performing classification of real-time input sample using compressed classification model. Classification system receives classification model configured to classify training input sample. Relevant neurons are identified from neurons of the classification model. Classification error is identified for each class. Reward value is determined for the relevant neurons based on relevance score of each neuron and the classification error. Optimal image is generated for each class based on the reward value of the relevant neurons. The optimal image is provided to the classification model for generating classification error vector for each class. The classification error vector is used for identifying pure neurons from the relevant neurons. A compressed classification model comprising the pure neurons is generated. The generated compressed classification model is used for performing the classification of real-time input sample.
The disclosure relates to method and system for transmitting a data packet in downlink in frequency division duplex (FDD) communication mode employing adaptive asynchronous Hybrid Automatic Repeat Request (HARQ) mode. The method includes receiving a current Channel Quality Indicator (CQI) from a user transceiver. The CQI is reported by the user transceiver at a periodic interval based on a radio frequency channel condition. The method further includes evaluating a degradation in the radio frequency channel condition based on a decrease in the current CQI with respect to a previously reported CQI. The method further includes retransmitting at least one of a set of transmitted data packets stored in a HARQ retransmission buffer to the user transceiver, based on the degradation in the radio frequency channel condition and without waiting for a corresponding HARQ negative acknowledgement (NACK) signal from the user transceiver.
A method and system for adaptive determination of network slice configuration and resource requirement is disclosed. The method includes creating a service requirement set based on a service request. The method further includes determining enhancements and adjustments to be done in the service requirement set based on a plurality of user entitlements corresponding to the user associated with the service request. The method further includes generating an updated service requirement set based on the enhancements and adjustments applied on the service requirement set. The method further includes determining a network slice template hierarchy based on the updated service requirement set. The method further includes determining a resource requirement corresponding to each of the plurality of network sub-nets based on the updated service requirement set, the plurality of user entitlements, and dynamic network context.
H04L 41/5051 - Service on demand, e.g. definition and deployment of services in real time
H04L 41/5025 - Ensuring fulfilment of SLA by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
H04L 41/5041 - Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
H04L 41/0681 - Configuration of triggering conditions
H04L 41/0893 - Assignment of logical groups to network elements
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business assistance services, namely, assisting businesses with assessing, guarding against and addressing cybersecurity threats to business systems; business advisory services in the field of cybersecurity and risk management; business management and consultation services for others in the field of information technology solutions involving cybersecurity Technology consultation in the field of cybersecurity; cybersecurity services in the nature of restricting unauthorized access to computer systems; computer programming consultancy in the field of cybersecurity; cybersecurity risk assessment services; cybersecurity risk management services
74.
Method and system for generating user driven adaptive object visualizations using generative adversarial network models
A method and system for generating user driven adaptive object visualizations using Generative Adversarial Network (GAN) models is disclosed. The method includes the steps of generating a first set of object vectors for an object based on at least one input received from a user. The first set of vectors corresponds to a first set of visualizations for the object The method further includes capturing at least one tacit reaction type of the user in response to user interaction with each of the first set of visualizations, computing a score for each portion of each of the first set of visualizations, identifying a plurality of portions from at least one of the first set of object visualizations, generating a second set of object vectors, and processing the second set of object vectors sequentially through a plurality of GAN models to generate a final object visualization of the object.
The present invention relates to a method of generating a facial expression of a user for a virtual environment. The method comprises obtaining a video and an associated speech of the user. Further, extracting in real-time at least one of one or more voice features and one or more text features based on the speech. Furthermore, identifying one or more phonemes in the speech. Thereafter, determining one or more facial features relating to the speech of the user using a pre-trained second learning model based on the one or more voice features, the one or more phonemes, the video and one or more previously generated facial features of the user. Finally, generating the facial expression of the user corresponding to the speech for an avatar representing the user in the virtual environment.
This disclosure relates to system and method for managing cache data in a network through edge nodes. The method includes receiving set of first node parameters, set of Mobile Edge Computing (MEC) node association metrics, and set of data request parameters from the user device; identifying a variation in at least one of the set of first node parameters, the set of MEC node association metrics, and the set of data request parameters; selecting a second edge node from the plurality of edge nodes to store the cache data based on a set of second node parameters, the set of MEC node association metrics, and the set of data request parameters, when variation is above predefined threshold; associating the second edge node with the user device to store the cache data for the user device; and dynamically managing cache data for the user device in the second edge node.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Business assistance services, namely, assisting businesses with assessing, guarding against and addressing cybersecurity threats to business systems; business advisory services in the field of cybersecurity and risk management; business management and consultation services for others in the field of information technology solutions involving cybersecurity. Technology consultation in the field of cybersecurity; cybersecurity services in the nature of restricting unauthorized access to computer systems; computer programming consultancy in the field of cybersecurity; cybersecurity risk assessment services; cybersecurity risk management services.
78.
Method and system for automatic selection of process automation RPA tool and BOT
The present invention discloses a method and a system for automatic selection of process automation Robotic Process Automation (RPA) tool and BOT. The method comprising receiving input data associated with a process to be executed, selecting an RPA tool from a plurality of RPA tools for process execution based on the input data and historical process data, wherein the selection is performed by calculating information gain for each parameter of the input data and computing probability for each type of RPA tool based on the information gain and the historical process data, identifying one or more BOTs from a plurality of BOTs based on the selected RPA tool, historical BOT data and the input data for the process execution, and executing the identified one or more BOTs on one or more devices based on selection of the one or more devices from available plurality of devices.
The present invention discloses a method and a server for authentication adaptive to a secured application. The method comprising encrypting a part of continuous streams of random real-time data using a user's public key to form a first encrypted data when the request is received from a first entity, transmitting the first encrypted data to the first entity, wherein the first entity communicates the first encrypted data to a second entity, receiving a second encrypted data from the second entity, wherein the second encrypted data is created by decrypting the first encrypted data using a user's private key and encrypting the decrypted data using the user's private key, authenticating the second encrypted data received from the second entity by comparing data decrypted from the second encrypted data with the part of continuous streams of random real-time data stored in the authentication server and initiating action based on authentication.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
The disclosure relates to method and system for performing real-time monitoring of a container containing a non-gaseous fluid substance. The method includes receiving, from a sensing device installed in the container and by a monitoring device, a dataset corresponding to the container and to a non-gaseous fluid substance in the container. The dataset may be acquired and transmitted by the sensing device at a preconfigured time-interval and may include level data corresponding to a level of the non-gaseous fluid substance in the container, temperature data corresponding to a temperature inside the container, and movement data corresponding to movement of the container or a lid of the container. The method further includes performing, by the monitoring device, a time-series analysis on the dataset for determining an anomaly; and generating, by the monitoring device, a graded alert based on the anomaly.
G08B 27/00 - Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04W 4/029 - Location-based management or tracking services
H04W 4/02 - Services making use of location information
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
81.
System and method for facilitating of an internet of things infrastructure for an application
The disclosure relates to system and method for facilitating designing of an Internet of Things (IoT) infrastructure for deploying an IoT application. The method includes determining a Manhattan distance between each of a plurality of existing requirements and a new requirement, identifying one or more of the plurality of existing requirements corresponding to a minimum Manhattan distance, determining a relevancy score for each of the one or more identified existing requirements based on a similarity between the each of the one or more identified existing requirements and the new requirement, and providing one or more IoT components and one or more IoT designs corresponding to a similar existing requirement for facilitating designing of the IoT infrastructure. The similar existing requirement comprises one of the one or more identified existing requirement with a maximum relevancy score.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
G16Y 20/10 - Information sensed or collected by the things relating to the environment, e.g. temperatureInformation sensed or collected by the things relating to location
G16Y 40/50 - SafetySecurity of things, users, data or systems
The present disclosure is related to Virtual Desktop Infrastructure (VDI) that discloses a method and system for predicting an occurrence of a failure condition in a VDI environment. A failure prediction system simulates a workload condition, to generate a functional experience corresponding to each information system. Thereafter, the failure prediction system determines a deviation in, performance patterns of each information system, and the functional experience corresponding to each information system, based on historical data of the corresponding information system and transactional data of an enterprise. Finally, an occurrence of a failure condition in a VDI environment is predicted by performing predictive analytics on the determined deviation, based on one or more benchmark metrics. The present disclosure rectifies the performance issues based on the prediction, which in turn prevents the occurrence of the failure condition, thereby improving user experience and productivity in the VDI environment.
Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
G06N 3/04 - Architecture, e.g. interconnection topology
G06F 9/451 - Execution arrangements for user interfaces
B60W 50/12 - Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation
84.
METHOD AND SYSTEM FOR PROVIDING DYNAMIC CROSS-DOMAIN LEARNING
A method and dynamic learning system for providing dynamic cross learning is disclosed. The dynamic learning system identifies one or more changes in an environment in which an automated task performing device is scheduled to perform one or more activities. The dynamic learning system initiates a dynamic learning associated with the one or more changes for the automated task performing device based on pre-stored contextual information. Based on the dynamic learning, one or more actions is provided to the automated task performing device to perform the one or more activities in view of the one more changes. Therefore, the present disclosure facilitates dynamic determination and analysis of environment and situation for the automated task performing device for performing the activities. Thus, leading to dynamic decision-making to provide adjustment to the automated task performing device in any situation.
Embodiments of the present disclosure relate to a method and an apparatus for alerting threats to users. The apparatus may capture a plurality of signals including at least one of Electro-Magnetic (E-M) signals and sound signals. The E-M signal and sound signals are used to detect objects around the user. A threat to the user is predicted based on the objects around the user and one or more alerts are generated such that the user avoids the threat. The prediction of the threat enables the user to take an action even before the threat has occurred. Also, the alerts are generated based on the prediction such that the user can avoid the threat well in advance of the occurrence of the threat.
G08B 31/00 - Predictive alarm systems characterised by extrapolation or other computation using updated historic data
G06N 3/0442 - Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
Disclosed herein is a method and a data transfer system for providing seamless data transfer between communication devices. Properties of data to be transferred, status of network parameters and power associated with the communication devices are monitored in real time. Further, communication protocols available at the communication devices and a need to switch between the communication protocols are determined. Splitting of the data into subsets of data and sequencing the subsets of data are performed using a neural network, which is trained based on properties of the data, data storage space of the communication devices, speed of data transfer and a communication channel available for the data transfer. The optimum communication protocols are identified based on order of priority value and contention value. The subsets of data are transferred using identified optimum communication protocols, until a change in the monitored status is detected to switch the optimum communication protocols.
A method and system for performing real-time sentiment modulation in conversation systems is disclosed. The method includes generating an impact table comprising a plurality of sentiment vectors and a plurality of emotion vectors associated with the plurality of sentences. The method further includes generating for each of the plurality of sentences, a dependency vector based on the associated sentiment vector and the associated emotion vector. The method further includes stacking the dependency vector generated to generate a waveform representing variance in sentiment and emotions across words within the plurality of sentences. The method further includes altering at least one portion of the waveform based on a desired emotional output to generate a reshaped waveform. The method further includes generating a set of rephrased sentences associated with the at least one portion, based on the reshaped waveform, the set of sentences, a user defined sentiment output.
G10L 15/18 - Speech classification or search using natural language modelling
G10L 13/10 - Prosody rules derived from textStress or intonation
G10L 15/25 - Speech recognition using non-acoustical features using position of the lips, movement of the lips or face analysis
G10L 25/63 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for estimating an emotional state
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
G10L 25/90 - Pitch determination of speech signals
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
88.
Method and system for managing interference caused by rogue user equipment Li-Fi communication network
A method and system for identifying and mitigating interference caused by a rogue User Equipment (UE) in a Light Fidelity (Li-Fi) communication network is disclosed. The method includes detecting interference caused by the rogue UE to at least one UE from a set of UEs associated with a Li-Fi access point in the Li-Fi communication network. The method further includes assigning a unique first transmission channel to each of the at least one UE in response to detecting the interference. The unique first transmission channel assigned to each of the at least one UE is distinguishable from a second transmission channel associated with the rogue UE. The method further includes scheduling data transmission from each of the at least one UE to the Li-Fi access point based on the associated unique first transmission channel.
The disclosure relates to method and system for generating trajectory plan for autonomous ground vehicles (AGV). The method includes assessing an upcoming goal position for an AGV with respect to a current position of the AGV to establish a need for preparing a trajectory plan for a critical segment of the path. The method further includes determining, upon establishing the need, a next free road region based on a hint next rest pose along the critical segment, generating a trajectory sub-plan corresponding to the next free road region by iteratively determining a set of intermediate poses between the current rest pose and the hint next rest pose, and generating the trajectory plan for the critical segment of the path by iteratively generating the trajectory sub-plans between the current rest pose and the final goal pose.
A Functional Safety Timer (FST) and method of for monitoring functional safety in Integrated Circuits (ICs) is disclosed. The FST includes hardware based counter for counting programmed number of cycles associated with an event of peripheral device. The FST includes first logic circuit and second logic circuit. The first logic circuit receives first trigger of peripheral device. In response to first trigger, the counter is initiated by first logic circuit. The second logic circuit receives second trigger of peripheral device. In response to second trigger, the counter being initiated is terminated by the second logic circuit. Further, the FST includes a hardware based comparator for comparing the number of cycles counted by the hardware based counter with a threshold time associated with the event and a plurality of programmable registers for determining one or more faults associated with the event based on result of the comparison and sequence of events.
The disclosure relates to a system and method for providing enhanced security of physical assets within a physical infrastructure. The method includes receiving an overall layout of the physical infrastructure and multi-modal input with respect to the physical asset from a plurality of sensors installed within the physical infrastructure. The multi-modal input includes acoustic signal generated by or reflected off the physical asset and captured by a set of acoustic sensors. The method further includes generating a digital asset corresponding to the physical asset by determining an identification, a location, a shape, a size, and a behavior of the physical asset based on the multi-modal input and the overall layout, detecting one or more events of interest involving the digital asset based on the behavior of the physical asset, and simulating the one or more events of interest to evaluate a possible fault or a possible security threat.
G08B 13/16 - Actuation by interference with mechanical vibrations in air or other fluid
G06K 7/10 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation
92.
Method and system for efficient utilization of resources in containers
A method and system for allocating resources to containers includes receiving a plurality of resource allocation requests from a plurality of containers, receiving a preference of a container from each of the plurality of containers, determining a priority-sequence for the plurality of containers, allocating a first associated resource for an associated first time-period to each container of the plurality of containers, determining a current consumption of the first associated resource by each container of the plurality of containers during the associated first time-period, and allocating a second associated resource to each container of the plurality of containers based on the current consumption of the first associated resource by each container of the plurality of containers.
A method of determining a navigation trajectory for an autonomous ground vehicle (AGV) is disclosed. The method may include receiving first Region of Interest (ROI) data associated with an upcoming trajectory path, and receiving predicted attributes associated with a future navigation trajectory for the upcoming trajectory path. The predicted attributes are derived based on map for the upcoming trajectory path. The method may further include modifying the predicted attributes based on environmental attributes extracted from first ROI data to generate modified attributes, and dynamically receiving a second ROI data associated with the upcoming trajectory path upon reaching the upcoming trajectory path. The method may further include predicting dynamic attributes associated with an imminent navigation trajectory for the upcoming trajectory path based on the second ROI data, and refining the modified attributes based on the one or more dynamic attributes to generate a final navigation trajectory.
B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
94.
Method and system for performing real-time data validation
The disclosure relates to method and system for performing real-time data validation. The method includes fetching a plurality of metadata from a set of external data sources and a set of external file storage systems. The plurality of metadata is fetched along with a set of connection configuration parameters and column mapping information The method further includes generating a set of clusters for performing data validation in an external processing infrastructure based on an analysis of the plurality of metadata and of the external processing infrastructure. The method further includes determining a set of test scripts from a plurality of test scripts based on the column mapping information and the set of connection configuration parameters. The method further includes performing a real-time data validation by executing the set of test scripts in the set of clusters.
A method and system for summarizing content based on user preferences is disclosed. The method includes identifying a set of relevant objects from a set of objects based on a relevancy score corresponding to each of the set of objects extracted from a plurality of sentences. The method further includes generating a link graph between each of the plurality of sentences. The method further includes assigning a weight to each of the plurality of sentences based on a retention probability. The method further includes generating a summarized content from the plurality of sentences based on the user preferences, the link graph, and the weight associated with each of the plurality of sentences.
The present disclosure relates to a method of stitching images captured by a vehicle. A first image and a second image are received. The first image and the second image are segmented based on characteristics of pixels. Groups of pixels having similar characteristics are identified to form clusters in a predetermined portion of overlap of the first image and the second image. A confidence score is generated for the first image and the second image. A difference in the confidence score is computed. At least one of, the first image capturing unit and the second image capturing unit is aligned to capture at least one of, a first aligned image and a second aligned image based on the difference in the confidence score. The first aligned image and the second aligned image are stitched.
A method, device and system for managing collaboration amongst robots is disclosed. The method may include assigning a color tag from a set of predefined color tags to each of a plurality of robots, based on associated functional capabilities. The method may further include dynamically creating a plurality of groups for a plurality of tasks based on at least one attribute associated with each of the plurality of tasks and functional capabilities associated with the plurality of robots. The method may include electing a plurality of chief robots for the plurality of groups based on a first predefined logic. The method may include selecting a prime robot from the plurality of chief robots based on a second predefined logic and the selected prime robot may be configured to monitor activity of each of the plurality of groups and each robot in each of the plurality of groups.
Disclosed herein is a method and system for dynamically generating a secure navigation path for navigation of an autonomous vehicle. The method comprises detecting disproportional acceleration of the autonomous vehicle when the autonomous vehicle is navigating from a source point to a destination point based on a predefined trajectory plan. The method comprises determining direction values of the autonomous vehicle for reaching a secure path point in the predefined trajectory plan. Based on the determined direction values, distance values are determined. The method includes detecting position of the secure path point for navigation of the autonomous vehicle based on the determined direction values and the distance values. The present disclosure uses secure path point to realign the autonomous vehicle in the predefined trajectory plan to overcome the disproportional acceleration of the autonomous vehicle due to narrow roads, upward slope, or downward slope.
A method and road assistance system for safe handling an autonomous vehicle during emergency failure situation is disclosed. The road assistance system establishes a network connection with autonomous vehicle, where request for the network connection is transmitted by the autonomous vehicle on detection of operation failures. Upon establishing the network connection with the autonomous vehicle, vehicle failure information is received from the autonomous vehicle. The road assistance system determines type of failure in the autonomous vehicle based on the vehicle failure information. Further, current surrounding environment information is obtained for the autonomous vehicle from one of autonomous vehicle and one or more sensing devices located in proximity to the autonomous vehicle. Thereafter, the road assistance system generates at least one control instruction based on the type of failure and the current surrounding environment information. The at least one control instruction is provided to the autonomous vehicle for execution during the emergency failure situation.
A method and system for determining lane change feasibility for autonomous vehicles is disclosed. The method includes the steps of tracking, in each frame, at least one neighboring vehicle from a plurality of neighboring vehicles in a current lane being used by the AV and in a plurality of adjacent lanes. The method further includes determining, in each frame, a set of kinematic parameters associated with each of the at least one neighboring vehicle, and assigning an occupancy state from a plurality of occupancy states to each of a plurality of voxels capturing a spatial information for each of the plurality of neighboring vehicles. The method may further includes determining an effective occupancy probability for each of the plurality of adjacent lanes, and determining feasibility of lane change for the AV to at least one adjacent lane from the plurality of adjacent lanes.
