Patents by Inventor Girish Chandra
Girish Chandra 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).
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Patent number: 11281980Abstract: Systems and methods for extending reasoning capability for data analytics in Internet of Things (IoT) platform(s) are provided. Traditional systems and methods for executing IoT analytics tasks suffer as IoT analytics techniques are generated in different programming language platforms, and this leads to a manual intervention or an asynchronous and sequential analysis of IoT analytics task(s). Embodiments of the method disclosed provide for overcoming the limitations faced by the traditional systems and methods by dynamically creating procedural functions from a plurality of programming languages upon determining an absence of pre-defined procedural functions, and extracting, using the dynamically created procedural functions, one or more semantic rules in a real-time, wherein the one or more semantic rules extend a reasoning capability for executing the one or more data analytics tasks in a plurality of IoT platforms.Type: GrantFiled: September 3, 2019Date of Patent: March 22, 2022Assignee: Tata Consultancy Services LimitedInventors: Snehasis Banerjee, Mariswamy Girish Chandra
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Patent number: 11270429Abstract: The disclosure herein generally relates to image processing, and, more particularly, to a method and system for impurity detection using multi-modal image processing. This system uses a combination of polarization data, and at least one of a depth data and an RGB image data to perform the impurity material detection. The system uses a graph fusion based approach while processing the captured images to detect presence of the impurity material, and accordingly alert the user.Type: GrantFiled: June 12, 2020Date of Patent: March 8, 2022Assignee: Tata Consultancy Services LimitedInventors: Achanna Anil Kumar, Rishab Khawad, Riddhi Panse, Andrew Gigie, Tapas Chakravarty, Kriti Kumar, Saurabh Sahu, Mariswamy Girish Chandra
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Patent number: 11119132Abstract: This disclosure relates generally to method and system for low sampling rate electrical load disaggregation. At low sampling rates, disaggregation of energy load is challenging due to unavailability of events and signatures of the constituent loads. The disclosed energy disaggregation technique receives aggregated load data from a utility meter and sequentially obtains training data for determining disaggregated energy load at low sampling rate. Dictionaries are used to characterize the different loads in terms of power values and time of operation. The obtained dictionary coefficients are treated as graph signals and graph smoothness is used for propagating the coefficients from the training phase to the test phase by formulating an optimization model. The derivation of the optimization model identifies the load of interest and estimate their power consumption based on optimization model constraints. This method achieves accuracy greater than 70% for the loads of interest at low sampling rates.Type: GrantFiled: March 10, 2020Date of Patent: September 14, 2021Assignee: Tata Consultancy Services LimitedInventors: Kriti Kumar, Mariswamy Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala
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Patent number: 10964076Abstract: This disclosure relates generally to image processing, and more particularly to method and system for image reconstruction using deep dictionary learning (DDL). The system collects the degraded image as test image and processes the test image to extract sparse features from the test image, at different levels, using dictionaries. The extracted sparse features and data from the dictionaries are used by the system to reconstruct the HR image corresponding to the test image.Type: GrantFiled: July 5, 2019Date of Patent: March 30, 2021Assignee: TATA CONSULTANCY SERVICES LIMITEDInventors: Jayavardhana Rama Gubbi Lakshminarasimha, Karthik Seemakurthy, Sandeep Nk, Ashley Varghese, Shailesh Shankar Deshpande, Mariaswamy Girish Chandra, Balamuralidhar Purushothaman, Angshul Majumdar
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Publication number: 20210019876Abstract: The disclosure herein generally relates to image processing, and, more particularly, to a method and system for impurity detection using multi-modal image processing. This system uses a combination of polarization data, and at least one of a depth data and an RGB image data to perform the impurity material detection. The system uses a graph fusion based approach while processing the captured images to detect presence of the impurity material, and accordingly alert the user.Type: ApplicationFiled: June 12, 2020Publication date: January 21, 2021Applicant: Tata Consultancy Services LimitedInventors: Achanna Anil KUMAR, Rishab KHAWAD, Riddhi PANSE, Andrew GIGIE, Tapas CHAKRAVARTY, Kriti KUMAR, Saurabh SAHU, Mariswamy Girish CHANDRA
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Publication number: 20210011062Abstract: This disclosure relates generally to method and system for low sampling rate electrical load disaggregation. At low sampling rates, disaggregation of energy load is challenging due to unavailability of events and signatures of the constituent loads. The disclosed energy disaggregation technique receives aggregated load data from a utility meter and sequentially obtains training data for determining disaggregated energy load at low sampling rate. Dictionaries are used to characterize the different loads in terms of power values and time of operation. The obtained dictionary coefficients are treated as graph signals and graph smoothness is used for propagating the coefficients from the training phase to the test phase by formulating an optimization model. The derivation of the optimization model identifies the load of interest and estimate their power consumption based on optimization model constraints. This method achieves accuracy greater than 70% for the loads of interest at low sampling rates.Type: ApplicationFiled: March 10, 2020Publication date: January 14, 2021Applicant: Tata Consultancy Services LimitedInventors: Kriti Kumar, Mariswamy Girish CHANDRA, Achanna Anil KUMAR, Naveen Kumar THOKALA
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Publication number: 20200302228Abstract: This disclosure relates generally to method for signal pre-processing based on a plurality of data driven models and a data dependent model transformation. The method includes (a) receiving, a raw signal as an input; (b) learning, a set of representational basis from the received raw signal, wherein the set of representational basis comprises a plurality of orthonormal vectors; (c) selecting, at least one orthonormal vector from the plurality of orthonormal vectors, (d) determining, a structure of the plurality of dictionary atoms, wherein structure of the plurality of dictionary atoms corresponds to a graph structure represented as a Laplacian matrix (L); (e) integrating, the graph structure as a structure of the set of representational basis to obtain a reconfigured data model; and (f) reconstructing, using the reconfigured data model to obtain a denoised signal, wherein at least one of constraints on a optimization problem corresponds to desired spectral and topological structure.Type: ApplicationFiled: March 19, 2020Publication date: September 24, 2020Applicant: Tata Consultancy Services LimitedInventors: Rahul SINHA, Mariswamy Girish CHANDRA
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Publication number: 20200210862Abstract: Systems and methods for extending reasoning capability for data analytics in Internet of Things (IoT) platform(s) are provided. Traditional systems and methods for executing IoT analytics tasks suffer as IoT analytics techniques are generated in different programming language platforms, and this leads to a manual intervention or an asynchronous and sequential analysis of IoT analytics task(s). Embodiments of the method disclosed provide for overcoming the limitations faced by the traditional systems and methods by dynamically creating procedural functions from a plurality of programming languages upon determining an absence of pre-defined procedural functions, and extracting, using the dynamically created procedural functions, one or more semantic rules in a real-time, wherein the one or more semantic rules extend a reasoning capability for executing the one or more data analytics tasks in a plurality of IoT platforms.Type: ApplicationFiled: September 3, 2019Publication date: July 2, 2020Applicant: Tata Consultancy Services LimitedInventors: Snehasis BANERJEE, Mariswamy Girish CHANDRA
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Patent number: 10650505Abstract: This disclosure relates generally to image processing, and more particularly to generate a high resolution image from multiple low resolution images. In an embodiment, the system collects a plurality of low resolution images as input, processes the collected images, and generates a high resolution image as output. During this process, the system pre-processes the collected low resolution images, and during this process, at least one characteristic of each of the low resolution image is changed with respect to a reference image. After the pre-processing stage, the images are then enhanced based on a plurality of final enhancement factors that are dynamically determined. Further, the enhanced images are fused to generate the high resolution image.Type: GrantFiled: March 23, 2018Date of Patent: May 12, 2020Assignee: Tata Consultancy Services LimitedInventors: Achanna Anil Kumar, Narendra N, M Girish Chandra, Balamuralidhar P
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Patent number: 10599946Abstract: A system and method for identifying real time change in a scene of an unknown environment using an unmanned vehicle. In the context of unmanned vehicle navigation, it is critical to calculate the saliency map in real time and employ them in scene understanding. This will reduce the search space and ensure that the process is quicker. A domain specific ontology is created and a saliency model is developed. The saliency model detects key domain specific regions of interest in two consecutive images. The regions of interest is used for registration and change detection. The system is detecting the change by using visual saliency as an abstract feature that is developed in the environment. Probability of change is derived using the salient maps of the two images.Type: GrantFiled: January 12, 2018Date of Patent: March 24, 2020Assignee: Tata Consultancy Services LimitedInventors: Jayavardhana Rama Gubbi Lakshminarasimha, Karthikeyan Vaiapury, Mariswamy Girish Chandra, Balamuralidhar Purushothaman, Shailesh Shankar Deshpande
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Publication number: 20200013201Abstract: This disclosure relates generally to image processing, and more particularly to method and system for image reconstruction using deep dictionary learning (DDL). The system collects the degraded image as test image and processes the test image to extract sparse features from the test image, at different levels, using dictionaries. The extracted sparse features and data from the dictionaries are used by the system to reconstruct the HR image corresponding to the test image.Type: ApplicationFiled: July 5, 2019Publication date: January 9, 2020Applicant: Tata Consultancy Services LimitedInventors: Jayavardhana Rama GUBBI LAKSHMINARASIMHA, Karthik SEEMAKURTHY, Sandeep NK, Ashley VARGHESE, Shailesh Shankar DESHPANDE, Mariaswamy Girish CHANDRA, Balamuralidhar PURUSHOTHAMAN, Angshul MAJUMDAR
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Patent number: 10513569Abstract: The invention relates to a metallocene complex according to formula (1) wherein M is a metal selected from lanthanides or transition metals from group 3, 4, 5 or 6 of the Periodic System of the Elements, Q is an anionic ligand to M, k is the number of Q groups and equals the valence of M minus 2, Z1, Z2, Z3 and Z4 are identical or different and can be chosen from the group consisting of hydrogen and a hydrocarbon radical with 1-20 carbon atoms, and adjacent substituents Z can form a ring system together with the carbon atoms of the Cp ring to which they are bound.Type: GrantFiled: October 19, 2017Date of Patent: December 24, 2019Assignee: SAUDI BASIC INDUSTRIES CORPORATIONInventors: Nedumbamana Sankaran, Prashant Shinge, Sharankumar Shetty, Girish Chandra, Haif Al-Shammari, Abdulaziz Hamad Al-Humydi, Edward Joseph Nesakumar, Pradeep Jeevaji Nadkarni
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Patent number: 10467533Abstract: System and method for predicting enterprise system response time is disclosed. System pre-processes causal variables of historical output time series data to select subset of causal variables by applying regression techniques to obtain significant causal variables. Historical output time series data shows response time of enterprise system. System derives dummy variables from historical output time series data using threshold based method. Dummy variables are specific to peak detection and trough detection in historic output time series data. System trains predictive model using historical output time series data, significant causal variables, and dummy variables to generate trained predictive model and predictive model designed using machine learning technique selected based on forecast methodology used for forecasting input time series data.Type: GrantFiled: September 21, 2016Date of Patent: November 5, 2019Assignee: Tata Consultancy Services LimitedInventors: Kriti Kumar, Naveen Kumar Thokala, Ravikumar Karumanchi, Mariswamy Girish Chandra, Kalyan Prathap Kamakolanu Guru, Suresh Upparapalli, Madhusudhan Kamma Chavala Chowdary, Prasanna Madhavrao Kulkarni, Pareshkumar Bhawanishankar Sharda
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Patent number: 10332128Abstract: A method and apparatus for performing analysis on data collected at a point of sale is disclosed. The data from the point of sale is collected using voice recognition technique implemented on a mobile communication device. In order to enable this, a limited vocabulary word recognition technique is implemented using a set of libraries storing speech utterances in a memory storage unit present of the mobile communication device. Dynamic updating of module parameters associated with the stored speech utterances is enabled by a speech refinement unit of the mobile communication device. The device further enables local as well as regional data collation and analysis.Type: GrantFiled: August 5, 2013Date of Patent: June 25, 2019Assignee: Tata Consultancy Services LimitedInventors: Guruprasad Seshadri, Balamuralidhar Purushothaman, Girish Chandra M
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Patent number: 10268695Abstract: In one example an updated snapshot delta value is computed upon occurrence of a new transaction. The new transaction is a data modification operation performed on data blocks of the storage device. Further, the delta value indicates at least one of volume of data modified since creation of a reference snapshot and number of transactions performed since the creation. Subsequently, the updated snapshot delta value is compared with a corresponding threshold value. The threshold value is at least one of a predetermined volume of data modified and a predetermined number of transactions. A snapshot action is subsequently performed based on the comparison.Type: GrantFiled: December 15, 2014Date of Patent: April 23, 2019Assignee: Hewlett Packard Enterprise Development LPInventors: Girish Chandra Belmanu Sadananda, Santosh Bangalore Balaraj, Alastair Slater, Subramani Nallusamy
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Publication number: 20190019279Abstract: This disclosure relates generally to image processing, and more particularly to generate a high resolution image from multiple low resolution images. In an embodiment, the system collects a plurality of low resolution images as input, processes the collected images, and generates a high resolution image as output. During this process, the system pre-processes the collected low resolution images, and during this process, at least one characteristic of each of the low resolution image is changed with respect to a reference image. After the pre-processing stage, the images are then enhanced based on a plurality of final enhancement factors that are dynamically determined. Further, the enhanced images are fused to generate the high resolution image.Type: ApplicationFiled: March 23, 2018Publication date: January 17, 2019Applicant: Tata Consultancy Services LimitedInventors: Achanna Anil KUMAR, Narendra N., M. Girish CHANDRA, Balamuralidhar P.
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Publication number: 20180268247Abstract: A system and method for identifying real time change in a scene of an unknown environment using an unmanned vehicle. In the context of unmanned vehicle navigation, it is critical to calculate the saliency map in real time and employ them in scene understanding. This will reduce the search space and ensure that the process is quicker. A domain specific ontology is created and a saliency model is developed. The saliency model detects key domain specific regions of interest in two consecutive images. The regions of interest is used for registration and change detection. The system is detecting the change by using visual saliency as an abstract feature that is developed in the environment. Probability of change is derived using the salient maps of the two images.Type: ApplicationFiled: January 12, 2018Publication date: September 20, 2018Applicant: Tata Consultancy Services LimitedInventors: Jayavardhana Rama GUBBI LAKSHMINARASIMHA, Karthikeyan VAIAPURY, Mariswamy Girish CHANDRA, Balamuralidhar PURUSHOTHAMAN, Shailesh Shankar DESHPANDE
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Publication number: 20180188967Abstract: In one example, primary data storage volume to store primary data blocks, and snapshot data storage volume to store snapshot data with snapshot data blocks representing copy-on-write (COW) data blocks of the primary data blocks, and with snapshot pointers to reference the primary data blocks representing non-COW data blocks of the primary data blocks of the primary data storage volume. A mapping table with primary volume mapping pointers to reference the primary data blocks, and snapshot volume mapping pointers to reference the snapshot data blocks. In response to a restore operation, perform a swap function that includes: updating the mapping table to have the primary volume mapping pointers to reference corresponding COW data blocks of the snapshot data storage volume, updating the mapping table to have the snapshot volume mapping pointers to reference corresponding primary data blocks of the primary data storage volume.Type: ApplicationFiled: September 23, 2015Publication date: July 5, 2018Inventors: Girish Chandra Belmanu Sadananda, Santosh Balaraj Bangalore, Alastair Slater
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Publication number: 20180044450Abstract: The invention relates to a metallocene complex according to formula (1) wherein M is a metal selected from lanthanides or transition metals from group 3, 4, 5 or 6 of the Periodic System of the Elements, Q is an anionic ligand to M, k is the number of Q groups and equals the valence of M minus 2, Z1, Z2, Z3 and Z4 are identical or different and can be chosen from the group consisting of hydrogen and a hydrocarbon radical with 1-20 carbon atoms, and adjacent substituents Z can form a ring system together with the carbon atoms of the Cp ring to which they are bound.Type: ApplicationFiled: October 19, 2017Publication date: February 15, 2018Inventors: Nedumbamana SANKARAN, Prashant SHINGE, Sharankumar SHETTY, Girish CHANDRA, Haif AL-SHAMMARI, Abdulaziz Hamad AL-HUMYDI, Edward Joseph NESAKUMAR, Pradeep Jeevaji NADKARNI
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Patent number: 9868797Abstract: A metallocene complex according to formula 1 wherein M is a metal selected from lanthanides or transition metals from group 3, 4, 5, or 6, Q is an anionic ligand to M, k is the number of Q groups and equals the valence of M minus 2, X is a cyclic bridging group that is bonded to a carbon atom of the cyclopentadienyl ligand and to nitrogen, Z1, and Z4 are hydrogen or a hydrocarbon radical with 1-20 carbon atoms; adjacent substituents Z2 and Z3 and are connected to form an indenyl or tetrahydroindenyl ring system and R is hydrogen or a hydrocarbon radical with 1-20 carbon atoms. Also described is a composition comprising the metallocene complex, a process for the preparation of the complex, and a process for the polymerization of olefin polymers in the presence of the metallocene complex.Type: GrantFiled: July 29, 2014Date of Patent: January 16, 2018Assignees: SAUDI BASIC INDUSTRIES CORPORATION, SABIC GLOBAL TECHNOLOGIES B.V.Inventors: Nedumbamana Sankaran, Prashant Sukumar Shinge, Sharankumar Shetty, Girish Chandra, Haif Al-Shammari, Abdulaziz Hamad Al-Humydi, Edward Joseph Nesakumar