Abstract: A method and system for managing interference between a set of Light Fidelity (Li-Fi) access points is disclosed. The method includes receiving a plurality of uplink data frames. Each of the plurality of uplink data frames includes a response that includes one of an Acknowledgement (ACK) and a Negative Acknowledgment (NACK) for the associated downlink test frame and a Channel Quality Indication (CQI) for the associated Li-Fi access point. The method further includes detecting presence of the User Equipment (UE) in an interference region of the set of Li-Fi access points. The method includes attaching the UE with a first Li-Fi access point having the highest CQI and scheduling data transmission from the set of Li-Fi access points in a mutually exclusive time slot. The UE accepts data received from the attached Li-Fi access point and drops data received from remaining set of Li-Fi access points.

Abstract: Embodiments of present disclosure relates to method and system for real-time tracking of moving target object. Initially, occlusion in view of real-time tracking of moving target object is detected. Occlusion comprises one of complete occlusion and partial occlusion in the view. Further, upon detection and until moving target object is retraced by overcoming the occlusion, at least one subsequent movement of object tracking system for retracing the moving target object and direction of movement of the object tracking system is varied based on at least one subsequent movement. The at least one subsequent movement is determined based on at least one of one or more potential locations associated with moving target object, one or more preceding movements and one or more preceding positions of real-time tracking of moving target object, or movement data associated with occlusion. The present disclosure provisions dynamic retracing of moving target object with presence of occlusion.

Abstract: A method and device for database design and creation is disclosed. The method includes determining ranks for each of a plurality of variables in each of a plurality of databases based on at least one attribute associated with each of the plurality of variables. The method further includes arranging each of the plurality of variables in a sequence with respect to an associated database from the plurality of databases. The method includes computing a correlation coefficient between the plurality of variables across the plurality of databases based on the sequence of arrangement. The method further includes determining based on the correlation coefficient, whether a relationship exists between one or more of the plurality of variables across the plurality of databases. The method includes creating a database using the plurality of databases based on the relationship, when the relationship exists between the one or more of the plurality of variables.

Abstract: The invention relates generally to Virtual Reality (VR) and more particularly to method and system for rendering VR content. The method includes identifying user interaction with at least one object within a VR environment. The method further includes training a deep learning feature extraction model to identify predetermined and undetermined interactions in the VR environment. The deep learning feature extraction model is trained based on a plurality of scene images and associated applied templates that are provided to the deep learning feature extraction model. Each of the applied templates identifies at least one spurious object and at least one object of interest in an associated scene image. The method includes classifying the user interaction as one of a predetermined interaction and an undetermined interaction based on the deep learning feature extraction model. The method further includes rendering a VR content in response to the user interaction being classified.

Abstract: Disclosed subject matter relates to field of Internet of Things (IoT) that performs a method and system for providing seamless connectivity in an IoT network. A router deployment system receives input data from input sources, comprising at least one of wireless routers and IoT devices, connected in an IoT network. Further, the router deployment system may predict intensity of data traffic at each wireless router based on the input data and may estimate a need for relocating at least one portable router based on intensity of data traffic at each wireless router. Thereafter, the router deployment system may relocate the at least one portable router to a target location for providing seamless connectivity in the IoT network. The present disclosure reduces load on wireless routers and waiting time for transmitting data via wireless routers by dynamically deploying portable routers for providing necessary bandwidth and accessibility, as per requirement.

Abstract: This disclosure relates generally to storage device, and more particularly to method and system for dynamically allocating front end ports in a storage device. In one embodiment, the method may include determining a need for re-allocating a set of servers being served by a first set of front end ports from among a plurality of front end ports of the storage device, evaluating remaining ports of the plurality of front end ports to identify a second set of front end ports to serve the set of servers, dynamically updating a configuration of each of the plurality of front end ports by emulating virtual worldwide names (vWWNs) of the first set of front end ports onto the second set of front end ports, and serving the set of servers from the second set of front-end ports based on the updated configuration.

Abstract: A method and system for identifying and mitigating interference caused by a rogue Light Fidelity (Li-Fi) access point in a Li-Fi communication network is disclosed. The method includes detecting interference caused by the rogue Li-Fi access point in a first set of Light Emitting Diodes (LEDs) from a plurality of LEDs within the Li-Fi access point. The plurality of LEDs is arranged in a predefined pattern within the Li-Fi access point, and wherein a coverage area associated with the Li-Fi access point is equally divided amongst the plurality of LEDs. The method further includes disabling data transmission from the first set of LEDs in response to detecting the interference. The method further includes enabling data transmission from a second set of LEDs from the plurality of LEDs. The second set of LEDs is unaffected by interference caused by the rogue Li-Fi access point.

Abstract: The present disclosure relates to a method and a system for generating sentiment-based summaries for a user review. In an embodiment, a text analyzer receives a block of text indicating a user review. The text analyzer may generate one or more vectors for the plurality of words. Further, a relation is identified among the one or more vectors. A model is trained to identify a relation among the one or more vectors. Using the relation between the one or more vectors, a sentiment associated with the block of text is determined. Thereafter, one or more keywords from the block of text contributing to the determined sentiment is are identified and are classified into categories according to the sentiment contributed by the one or more words. Thereafter, the summary is generated for each category using the corresponding one or more words.

Abstract: The present disclosure discloses method and guidance providing system for providing real-time guidance to users during troubleshooting of devices. The guidance providing system receives user input indicating troubleshooting actions on device, by user, where user input comprises textual input and non-textual input, identifies object in device associated with troubleshooting actions and state of user while performing troubleshooting actions, from non-textual input. The object identified from non-textual input is mapped with textual input to obtain mapped user input. Consistency of mapped user input is verified based on conversation information and domain specific content associated with device. Sequence of instructions corresponding to mapped user input, based on state of user and one or more similar troubleshooting actions, may be extracted from knowledge database.

Abstract: A method and a system for automatically updating video content are disclosed. In an embodiment, the method may include identifying a frame within a video content based on a plurality of timestamps assigned within the video content, wherein the frame is required to be updated. The method may further include extracting content information associated with the frame, and retrieving at least one source hyperlink used within the frame, based on the content information. The method may further include comparing a first textual content derived from the content information and a second textual content derived from at least one webpage associated with the at least one source hyperlink. The method may further include updating the frame with a summarized text associated with the second textual content and an audio content generated for the summarized text, based on the comparing, and merging the updated frame with the video content.

Abstract: This disclosure relates to a method and system for summarizing multimedia content. The method may include receiving multimedia content. The method may further include identifying one or more primary objects, wherein identifying the primary objects comprises identifying one or more actions associated with the primary objects and one or more interactions between the primary objects and one or more secondary objects. The primary objects are associated with one or more parameters. The method may further include determining at least one primary object of interest from the primary objects by selectively prioritizing the parameters. The method may further include summarizing the multimedia content based on the primary object of interest, actions associated with the primary object of interest, interactions between the primary object of interest and the secondary objects, and interactions between the secondary objects and one or more tertiary objects.

Abstract: The present disclosure discloses method and a content rendering system for providing multimodal content to selective users during visual presentation. The method includes identifying plurality of users attending visual presentation based on login and user details provided during registering to visual presentation. One or more keywords is determined in visual presentation associated with one or more auxiliary content based on narration by a presenter. The one or more auxiliary content corresponding to each of the one or more keywords is retrieved. The method includes identifying one or more users from plurality of users allowed to receive one or more auxiliary content based on user details and predefined auxiliary mapping details. The one or more auxiliary content is combined with corresponding one or more keywords in visual presentation. Thereafter, combined auxiliary content along with the visual presentation is provided to users in respective user devices.

Abstract: This disclosure relates generally to machine design, and more particularly to method and system for generating physical design parameters of an object. In one embodiment, the method includes receiving a graphical design of the object along with a desired axis of rotation, categorizing the object into an object type based on the graphical design of the object and the desired axis of rotation of the object, and determining a regression weight and a regression estimate for each of the plurality of physical design parameters based on the object type, determining a plurality of proximity metrics based on the regression estimate for each of the plurality of physical design parameters, adjusting the regression weight for each of the plurality of physical design parameters based on the plurality of proximity metrics, and generating a value for each of the plurality of physical design parameters based on the corresponding adjusted regression weight.

Abstract: The present disclosure discloses a method and system for providing response to a user input. The system receives a user input, processes the user input by finding equivalents of the user input and dividing each of the user input and the equivalents into a frame. One or more keywords are generated for each of the one or more frames. Further, each of the one or more frames are classified into one or more domains present in a knowledge graph. Then, one or more objects are determined in each of the corresponding one or more domains based on the corresponding one or more keywords. Further, a processing means is determined for each of the one or more objects based on the metadata of the corresponding one or more objects. The processing means is processed by the system for providing response to the user input.

Abstract: The present disclosure relates to a method and a system for generating optimized response to user input. The system may receive a user input indicative of a data required by the user. The system identifies one or more keywords based on the user input. The system determines user expertise level based on search graphs generated using the one or more keywords. The system retrieves a plurality of responses relevant to the data based on the one or more keywords. The system assigns a value to each of the plurality of responses based on the user expertise level. The system identifies a base response in one or more responses having the value greater than a threshold value. Finally, the system collates content of the one or more responses excluding the base response with content of the base response, in a pre-defined sequential order, for generating the optimized response to user input.

Abstract: The present disclosure discloses method and an Electronic Control Unit (ECU) (101) of autonomous vehicle for determining an accurate position. The ECU (101) determines centroid coordinate from Global Positioning System (GPS) points, relative to autonomous vehicle and identifies approximate location and orientation of vehicle on pre-generated map based on centroid coordinate and Inertial Measurement Unit (IMU) data. Distance and direction of surrounding static infrastructure is identified from location and orientation of autonomous vehicle based on road boundaries analysis and data associated with objects adjacent to autonomous vehicle. A plurality of lidar reflection reference points are identified within distance and direction of static infrastructure based on heading direction of autonomous vehicle. Position of lidar reflection reference points are detected from iteratively selected shift positions from centroid coordinate.

Abstract: A method and system for clock synchronization in an electronic device based on time based control is disclosed. The method includes comparing a current value of a cumulative phase difference between a signal generated by a device clock and a reference signal, with a reset threshold. The method further includes generating a control value, when the current value is greater than the reset threshold. Generating the control value includes computing a startup correction value based on a time lapsed after reset of the device clock, a dynamic correction value based on an accuracy factor, a clock constant, and a comparison of a current phase difference between with a high error threshold, and computing the control value based on the startup correction value, the dynamic correction value, and the current value of the cumulative phase difference. The method includes adjusting a frequency of the device clock based on the control value.

Abstract: A method and system for machine translation of text is disclosed. The method includes processing an image comprising a text to generate a pattern associated with the text based on a trained Convolution Neural Network (CNN). The method further includes mapping the pattern to a word in a mapping table and at least one text attribute, based on a classifier network. The method further includes initiating an Optical Character Recognition (OCR) conversion for the pattern, when at least one of the mapping between at least one of the pattern and at least one word in the mapping table and the mapping between the pattern and the at least one text attribute is below a predefined threshold. The method further includes performing incremental learning for the trained CNN and the classifier network based on the OCR conversion.

Abstract: The method of securing secure communication between a User Equipment (UE) and evolved NodeB (eNB), involves deriving a user plane (UP) encryption key (KUPenc) from a shared key (KeNB) associated with the UE for an ongoing communication session. At the UE, the UP encryption key (KUPenc) may be hashed with a number of random numbers to generate a plurality UP encryption keys(KUPenc(n)), wherein the random numbers are transmitted to the eNB through a Packet Data Convergence Protocol (PDCP) control message. One or more data packets sent from the UE to the eNB may be encrypted, by the UE, using the plurality of UP encryption keys (KUPenc(n)).

Abstract: A method and device for processing a transaction based on user interaction is disclosed. The method includes providing a plurality of article icons associated with a plurality of articles. At least one icon attribute of the plurality of article icons is indicative of real-time quantity associated with the plurality of articles. The method further includes receiving a first user interaction with an article icon and, in response, displaying at least one order icon representing at least one supplier for the article. The method includes receiving a second user interaction with an order icon and, in response, establishing a communication channel between the user and a supplier associated with the order icon in response to the second user interaction with the order icon. The communication channel enables at least one of the user and the supplier to dynamically modify at least one article attribute related to the article.