Patents by Inventor Deepak Ramachandran

Deepak Ramachandran has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12238741
    Abstract: The present invention relates to a method of reducing blind decoding attempts by a User Equipment (UE) in a telecommunication network. The method comprises configuring a Search Space (SS) configuration to the UE. A Base Station (BS) signals one of a subset of Aggregation Levels (ALs) to be monitored based on channel quality of the UE and an associated time period, and a value of multiplication factor (k) and an associated time period. The UE iteratively monitors a Physical Downlink Control Channel (PDCCH) on the ALs signalled by the BS till the UE stops receiving a new configuration. The UE performs one of adopting an original configuration, requesting the BS for a new configuration, utilizing a default configuration or utilizing an original configuration.
    Type: Grant
    Filed: August 4, 2023
    Date of Patent: February 25, 2025
    Assignees: Centre of Excellence in Wireless Technology, Indian Institute of Technology Madras
    Inventors: Deepak Agarwal, Jyothi Pardhasarathy, Ebin Chacko, Budama Sree Charan Teja Reddy, Chandrasekaran Mohandoss, Thirunageswaram Ramachandran Ramya, Sunil Kaimalettu, Jeniston Deviraj Klutto Milleth, Bhaskar Ramamurthi
  • Patent number: 12223081
    Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: receiving data center data; identifying unprotected sensitive data center data contained within the data center data; classifying the sensitive data center data contained within the data center data according to a sensitivity based classification; and, remediating the sensitive data center asset data according to the sensitivity based classification of the sensitive data center data.
    Type: Grant
    Filed: April 12, 2023
    Date of Patent: February 11, 2025
    Assignee: Dell Products L.P.
    Inventors: Deepak Gowda, Ramya Ramachandran, Vinay Sawal, Anne-Marie McReynolds
  • Publication number: 20250031254
    Abstract: Embodiments of the present invention provide a method and an IAB node for achieving timing alignment in an IAB network system. The method includes receiving, by the IAB node, at least one resource configuration and at least one parameter, wherein the at least one parameter comprises timing advance, timing advance offset, and timing error. The IAB node then determines timing for operation based on the received parameters. The timing may include UL transmission timing at a MT of the IAB node, DL transmission timing at a DU of the IAB node, and UL reception timing at the DU of the IAB node. Further, the IAB node performs an operation in at least one resource based on the resource configuration and the determined timing. This proposed invention ensures precise timing alignment for efficient communication within the IAB network system.
    Type: Application
    Filed: June 13, 2024
    Publication date: January 23, 2025
    Inventors: Deepak Padmanabhan Maya, Chandrasekaran Mohandoss, Thirunageswaram Ramachandran Ramya, Jeniston Deviraj Klutto Milleth, Bhaskar Ramamurthi
  • Publication number: 20240103893
    Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
    Type: Application
    Filed: December 6, 2023
    Publication date: March 28, 2024
    Inventors: Deepak Ramachandran, Sarvjeet Singh, Tania Bedrax-Weiss
  • Patent number: 11842206
    Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
    Type: Grant
    Filed: May 31, 2019
    Date of Patent: December 12, 2023
    Assignee: GOOGLE LLC
    Inventors: Deepak Ramachandran, Sarvjeet Singh, Tania Bedrax-Weiss
  • Publication number: 20220229676
    Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
    Type: Application
    Filed: May 31, 2019
    Publication date: July 21, 2022
    Inventors: Deepak Ramachandran, Sarvjeet Singh, Tania Bedrax-Weiss
  • Patent number: 10847175
    Abstract: In some natural language understanding (NLU) applications, results may not be tailored to the user's query. In an embodiment of the present invention, a method includes tagging elements of automated speech recognition (ASR) data based on an ontology stored in a memory. The method further includes indexing tagged elements to an entity of the ontology. The method further includes generating a logical form of the ASR data based on the tagged elements and the indexed entities. The method further includes mapping the logical form to a query to a respective corresponding database stored in the memory. The method further includes issuing the query to the respective corresponding databases. The method further includes presenting results of the query to the user via a display or a voice response system.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: November 24, 2020
    Assignee: Nuance Communications, Inc.
    Inventors: Peter Yeh, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter Patel-Schneider, Benjamin Douglas
  • Patent number: 10631057
    Abstract: Presenting natural-language-understanding (NLU) results can include redundancies and awkward sentence structures. In an embodiment of the present invention, a method includes, responsive to receiving a result to a NLU query, loading a matching template of a plurality of templates stored in a memory. Each template has mask fields associated with at least one property. The method compares the properties of the mask fields of each of the templates to properties of the query and properties of the result, and selects the matching template. The method further completes the matching template by inserting fields of the result into corresponding mask fields of the matching template. The method may further suppress certain mask fields of the matching template to increase brevity and improve the naturalness of the response when appropriate based on the results of the NLU query. The method further presents the completed matching template to a user via a display.
    Type: Grant
    Filed: July 24, 2015
    Date of Patent: April 21, 2020
    Assignee: Nuance Communications, Inc.
    Inventors: Peter Yeh, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter Patel-Schneider, Benjamin Douglas
  • Patent number: 10120955
    Abstract: A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.
    Type: Grant
    Filed: April 2, 2015
    Date of Patent: November 6, 2018
    Assignee: Nuance Communications, Inc.
    Inventors: Adwait Ratnaparkhi, Benjamin Birch Douglas, William Lawrence Jarrold, Deepak Ramachandran, Peter Zei-chan Yeh
  • Patent number: 9716802
    Abstract: A method includes, with a physical computing system, executing a navigational application for a printer interface of a printer connected to the physical computing system through a network, with the physical computing system, using a content model for the navigational application, the content model defining attributes and a category for a screen. The method further includes, with the physical computing system, receiving content associated with the category, and with the physical computing system, providing to the printer the screen and the content in a format that is executable by the printer.
    Type: Grant
    Filed: April 12, 2012
    Date of Patent: July 25, 2017
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Kumaravel Ganesan, Deepak Ramachandran
  • Publication number: 20170026705
    Abstract: Presenting natural-language-understanding (NLU) results can include redundancies and awkward sentence structures. In an embodiment of the present invention, a method includes, responsive to receiving a result to a NLU query, loading a matching template of a plurality of templates stored in a memory. Each template has mask fields associated with at least one property. The method compares the properties of the mask fields of each of the templates to properties of the query and properties of the result, and selects the matching template. The method further completes the matching template by inserting fields of the result into corresponding mask fields of the matching template. The method may further suppress certain mask fields of the matching template to increase brevity and improve the naturalness of the response when appropriate based on the results of the NLU query. The method further presents the completed matching template to a user via a display.
    Type: Application
    Filed: July 24, 2015
    Publication date: January 26, 2017
    Inventors: Peter Yeh, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter Patel-Schneider, Benjamin Douglas
  • Publication number: 20170024465
    Abstract: In some natural language understanding (NLU) applications, results may not be tailored to the user's query. In an embodiment of the present invention, a method includes tagging elements of automated speech recognition (ASR) data based on an ontology stored in a memory. The method further includes indexing tagged elements to an entity of the ontology. The method further includes generating a logical form of the ASR data based on the tagged elements and the indexed entities. The method further includes mapping the logical form to a query to a respective corresponding database stored in the memory. The method further includes issuing the query to the respective corresponding databases. The method further includes presenting results of the query to the user via a display or a voice response system.
    Type: Application
    Filed: July 24, 2015
    Publication date: January 26, 2017
    Inventors: Peter Yeh, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter Patel-Schneider, Benjamin Douglas
  • Patent number: 9417069
    Abstract: One or more embodiments of techniques or systems for modeling familiarity for a traveler are provided herein. Familiarity evidence can be received, indicative of how familiar a traveler is with an area or road segment, and based on a number of visits the traveler has made to that area. The familiarity evidence can be used to generate one or more familiarity models indicative of a predicted familiarity of locations around the area. Familiarity models can be based on kernels, graph distances, Markov random fields (MRFs), etc. When route directions are generated from an origin location to a destination location, one or more of the directions can be provided based on one or more of the familiarity models. For example, if a familiarity model indicates that a traveler is familiar with a route, driving directions of the route can be adapted to be more succinct.
    Type: Grant
    Filed: July 25, 2013
    Date of Patent: August 16, 2016
    Assignee: Honda Motor Co., Ltd.
    Inventors: Rakesh Gupta, Igor V. Karpov, Antoine Raux, Deepak Ramachandran
  • Publication number: 20160019290
    Abstract: A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.
    Type: Application
    Filed: April 2, 2015
    Publication date: January 21, 2016
    Inventors: Adwait Ratnaparkhi, Benjamin Birch Douglas, William Lawrence Jarrold, Deepak Ramachandran, Peter Zei-chan Yeh
  • Patent number: 9127950
    Abstract: An utterance is received from a user specifying a location attribute and a landmark. A set of candidate locations is identified based on the specified location attribute, and a confidence score can be determined for each candidate location. A set of landmarks is identified based on the specified landmark, and confidence scores can be determined for the landmarks. An associated kernel model is generated for each landmark. Each kernel model is centered at the location of the associated landmark on a map, and the amplitude of the kernel model can be based on landmark attributes, landmark confidence scores, characteristics of the user, and the like. The candidate locations are ranked based on the amplitudes of overlapping kernel models at the candidate locations, and can also be ranked based on confidence scores associated with the candidate locations. A candidate location is selected and presented to the user based on the candidate location ranking.
    Type: Grant
    Filed: March 13, 2013
    Date of Patent: September 8, 2015
    Assignee: Honda Motor Co., Ltd.
    Inventors: Antoine Raux, Rakesh Gupta, Deepak Ramachandran, Yi Ma
  • Patent number: 9090255
    Abstract: A powertrain of a hybrid electric vehicle (HEV) is controlled. A first value ?1 and a second value ?2 are determined. ?1 represents a proportion of an instantaneous power requirement (Preq) supplied by an engine of the HEV. ?2 controls a recharging rate of a battery of the HEV. A determination is performed, based on ?1 and ?2, regarding how much engine power to use (Peng) and how much battery power to use (Pbatt). Peng and Pbatt are sent to the powertrain.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: July 28, 2015
    Assignee: Honda Motor Co., Ltd.
    Inventors: Rakesh Gupta, Deepak Ramachandran, Adam C. Vogel, Antoine Raux
  • Patent number: 9052861
    Abstract: Systems and methods of establishing a secure connection between a proxy server and a base station device are disclosed. An example of a method includes providing a proxy server with a session token for a mobile device from a cloud service. The method also includes providing a session code directly to the mobile device from the cloud service based on the session token. The method also includes providing access by the proxy server to the base station device if the proxy server provides the session code to the cloud service.
    Type: Grant
    Filed: March 27, 2011
    Date of Patent: June 9, 2015
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Laurent Pizot, Loren D. Chapple, Venugopal Kumarahalli Srinivasmurthy, Deepak Ramachandran, Sudhindra Venkatesh Kulkarni, Jojee Thomas Chackalackal
  • Patent number: 9047030
    Abstract: An application service includes a device interface manager, an acquisition manager, and a job manager. The device interface is configured to receive, from a device, a print instruction defining a context. The acquisition manager is configured to use the context to acquire context compatible content. The job manager is configured to communicate a reference to a print service for accessing cached context compatible print data for the print instruction if the context compatible print data is available in a cache, and to otherwise communicate to the print service, context compatible print data for context compatible content acquired by the acquisition manager.
    Type: Grant
    Filed: April 29, 2010
    Date of Patent: June 2, 2015
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Venugopal Kumarahalli Srinivasmurthy, Loren D Chapple, Laurent Pizot, Deepak Ramachandran, Hitesh Amrutlal Bosamiya, Anurag Goyal
  • Publication number: 20150032424
    Abstract: One or more embodiments of techniques or systems for modeling familiarity for a traveler are provided herein. Familiarity evidence can be received, indicative of how familiar a traveler is with an area or road segment, and based on a number of visits the traveler has made to that area. The familiarity evidence can be used to generate one or more familiarity models indicative of a predicted familiarity of locations around the area. Familiarity models can be based on kernels, graph distances, Markov random fields (MRFs), etc. When route directions are generated from an origin location to a destination location, one or more of the directions can be provided based on one or more of the familiarity models. For example, if a familiarity model indicates that a traveler is familiar with a route, driving directions of the route can be adapted to be more succinct.
    Type: Application
    Filed: July 25, 2013
    Publication date: January 29, 2015
    Applicant: HONDA MOTOR CO., LTD.
    Inventors: Rakesh Gupta, Igor V. Karpov, Antoine Raux, Deepak Ramachandran
  • Patent number: 8887054
    Abstract: An apparatus includes a builder, a template engine, and an assembler. The template engine is operable to identify a reference template associated with application selection. The assembler is configured to assemble a request from the identified reference template and state data indicated by the reference template. The builder is configured to process a user interface description retrieved using the request to cause the display of a user interface having one or more objects each associated with an application available from a network service, the applications having been selected according to the state data.
    Type: Grant
    Filed: April 15, 2010
    Date of Patent: November 11, 2014
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Loren D. Chapple, Venugopal Kumarahalli Srinivasmurthy, Deepak Ramachandran, Hitesh Amrutial Bosamiya, Jacob Refstrup, Scott Femling