Patents Assigned to Tata Consultancy Services Limited
  • Publication number: 20220381893
    Abstract: An e-commerce business model has witnessed several cases where packages with faulty goods, returned by buyers, without procured object, rather replaced by different device. This disclosure relates a method to detect whether object under test a desired object. A plurality of back-scattered signals is received from the object under test occluded by packaging with continuous motion on conveyer based on first antenna-radar combination. The plurality of back-scattered signals is processed by applying four-tap difference filter to obtain motion-filtered data matrix. A low pass filter is applied on the motion-filtered data matrix to obtain enveloped motion-filtered data matrix. A sliding constant false alarm rate is applied on the enveloped motion-filtered data matrix to determine detection threshold value. A check is performed to detect whether the object under test is the desired object based on whether intensity of the plurality back-scattered signals exceeds the detection threshold value.
    Type: Application
    Filed: November 1, 2021
    Publication date: December 1, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: ARINDAM RAY, TANIYA DAS, ARIJIT CHOWDHURY, SOUMYA CHAKRAVARTY, SMRITI RANI, ANWESHA KHASNOBISH, TAPAS CHAKRAVARTY, ARPAN PAL
  • Publication number: 20220384049
    Abstract: Computer-aided diagnosis algorithms require a large volume of training data. The existing methods for simulating artificial biomedical signals are mostly based on physics driven mathematical models that require too many assumptions, making them challenging to simulate on a large scale. Alternatively, conventional deep learning-based approaches are pure data driven and hence, do not have physiological interpretation. The present disclosure provides a method that effectively combines both physiological domain knowledge and deep learning to enable simulation of realistic cardiovascular disease specific biomedical signals. An ensemble Generative Adversarial Network (GAN) including a Long Short-Term Memory GAN (LSTM-GAN) configured to generate a Heart Rate Variability (HRV) pattern associated with the cardiovascular disease condition and a Deep Convolutional GAN (DCGAN) configured to create a morphology of a representative cardiac cycle is provided.
    Type: Application
    Filed: September 10, 2021
    Publication date: December 1, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: ROHAN BANERJEE, AVIK GHOSE
  • Publication number: 20220380795
    Abstract: Bacterial plant pathogens such as Xanthomonas sp. and Pseudomonas syringae are developing resistance to various classes of antibiotics. A method and system for combating plant pathogenic bacterial infections have been provided. The system is configured to provide strategies to combat infections in plants caused by multi-drug resistant (MDR) plant pathogens. The strategy involves identifying potential target sites in the plant pathogen, which can be utilized to compromise its multiple virulence or essential functions at the same time. The idea used in this disclosure utilizes the fact that a conserved stretch of nucleotide sequence occurring multiple times on a pathogen genome in genomic neighborhood of genes encoding virulence factors or in vicinity of genes essential for pathogen survival encoded within the genome of the candidate pathogen can be targeted to disrupt the overall genetic machinery of the plant pathogen.
    Type: Application
    Filed: June 5, 2020
    Publication date: December 1, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: SHARMILA SHEKHAR MANDE, SWADHA ANAND, PREETHI ALAGARAI SAMPATH
  • Publication number: 20220380786
    Abstract: Mycobacterium tuberculosis is the most common pathogenic agent responsible for tuberculosis (TB) infection. Over a period of time, the methods used for combating TB have become more challenging by the prevalence of multi-drug resistant and extensively drug resistant strains. The disclosure relates generally to method and system for combating infections due to Mycobacterium tuberculosis. The system provides strategies to combat pathogenic infections caused by multi-drug resistant (MDR) and extensively drug resistant (XDR) strains of Mycobacterium tuberculosis. The strategy involves identifying potential target sites in a pathogen, which can be utilized to compromise its multiple virulence or essential functions at the same time.
    Type: Application
    Filed: June 4, 2020
    Publication date: December 1, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: SHARMILA SHEKHAR MANDE, SWADHA ANAND, PREETHI ALAGARAI SAMPATH
  • Publication number: 20220384041
    Abstract: Nocturia has been defined as the need for an individual to wake up one or more times during the night to void. Further, Nocturia detection also requires analysis of sleeping pattern of the person. In such cases a lot of assumptions are made when the person is not in bedroom during nights. A method and system for detection and validation of Nocturia in the person has been provided. The system is utilizing a statistical based analysis, a rule based analysis, a machine learning based analysis and analysis of sleeping pattern of the person to detect and validate Nocturia. The system ensures that the person is not disturbed in his/her daily activities. Further, the processes deployed in the system are completely un-supervisory in nature meaning it does not have the dependency of needing to have trained machine learning dataset.
    Type: Application
    Filed: November 6, 2020
    Publication date: December 1, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: BALASUBRAMANIAM KRISHNAN, RAMESH BALAJI, SRINIVASA RAGHAVAN VENKATACHARI, ARUN VIJAYAKUMAR, HARISH KUMAR DHANASEKARAN
  • Patent number: 11515013
    Abstract: Owing to complexity of the algorithms and tools very few attempts have been seen for usage of simulation methods in the development of new electrolytes. Moreover, the existing simulation methods focus on only one aspect of the electrolyte at a time and this limits accuracy of simulation results, and affects performance of electrolyte in real world, where multiple factors come into play simultaneously. The method disclosed provides method and system for in-silico optimization and design of electrolytes, enabling prediction of various properties of an electrolytic mixture of salts, solvents and various additives and its suitability for a given battery technology. The in-silico method shapes itself into an overall battery electrolyte property or component composition analyzer based on the user input.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: November 29, 2022
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Bharath Ravikumar, Beena Rai, Mahesh Mynam, Sravani Repaka, Surbhikumari Ashutosh Kumar
  • Publication number: 20220375199
    Abstract: Embodiments of the present disclosure provide a method and system for co-operative and cascaded inference on the edge device using an integrated Deep Learning (DL) model for object detection and localization, which comprises a strong classifier trained on largely available datasets and a weak localizer trained on scarcely available datasets, and work in coordination to first detect object (fire) in every input frame using the classifier, and then trigger a localizer only for the frames that are classified as fire frames. The classifier and the localizer of the integrated DL model are jointly trained using Multitask Learning approach. Works in literature hardly address the technical challenge of embedding such integrated DL model to be deployed on edge devices. The method provides an optimal hardware software partitioning approach for components or segments of the integrated DL model which achieves a tradeoff between latency and accuracy in object classification and localization.
    Type: Application
    Filed: October 12, 2021
    Publication date: November 24, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Swarnava DEY, JAYEETA MONDAL, JEET DUTTA, ARPAN PAL, ARIJIT MUKHERJEE, BALAMURALIDHAR PURUSHOTHAMAN
  • Publication number: 20220374769
    Abstract: Conventionally three main approaches are utilized for explainability of blackbox ML systems: proxy or shadow model approaches, model inspection approaches and data based approaches. Most of the research work on explainability has followed one of the above approaches with each having its own limitations and advantages. Embodiments of the present disclosure provide a method and system for explainable Machine learning (ML) using data and proxy model based hybrid approach to explain outcomes of a ML model. The hybrid approach is based on Local Interpretable Model-agnostic Explanations (LIME) using Formal Concept Analysis (FCA) for structured sampling of instances. The approach combines the benefits of using a data-based approach (FCA) and proxy model-based approach (LIME).
    Type: Application
    Filed: May 13, 2022
    Publication date: November 24, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: AMIT SANGROYA, LOVEKESH VIG, MOULI RASTOGI, CHANDRASEKHAR ANANTARAM
  • Publication number: 20220373171
    Abstract: This disclosure relates generally to a method and system for real time monitoring and forecasting of fouling of an air preheater (APH) in a thermal power plant. The system is deploying a digital replica or digital twin that works in tandem with the real APH of the thermal power plant. The system receives real-time data from one or more sources and provides real-time soft sensing of intrinsic parameters as well as that of health, fouling related parameters of APH. The system is also configured to diagnose the current class of fouling regime and the reasons behind a specific class of fouling regime of the APH. The system is also configured to be used as advisory system that alerts and recommends corrective actions in terms of either APH parameters or parameters controlled through other equipment such as selective catalytic reduction or boiler or changes in operation or design.
    Type: Application
    Filed: October 9, 2020
    Publication date: November 24, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: ANIRUDH DEODHAR, VISHAL JADHAV, ASHIT GUPTA, MURALIKRISHNAN RAMANUJAM, VENKATARAMANA RUNKANA, MUKUL PATIL, CHARAN THEJA DHANDA, DHANDAPANI SUBRAMANIAM, LALITH ROSHANLAL JAIN, JOEL THOMSON DIRAVIAM ANDREW, PANKAJ MALHOTRA, SAI PRASAD PARAMESWRAN
  • Publication number: 20220374721
    Abstract: This disclosure relates to application based design of novel materials. Conventional methods utilize laborious experimentation or costly first principles calculations. Conventional data driven techniques use point cloud-based representation for crystal structures, that suffers from permutation variance which is not inbuilt in a material's representation, the DL model has to learn invariance which may be inaccurate. Other methods use image based representation for crystal structures and separate images for each element type to represent the basis, which is memory and time intensive. Since each element is represented by its own image, it is difficult for model to learn chemical environment and neighborhood pattern of each element. The embodiments used image based representation of materials consistent with physical principles. Also, embodiments utilize elements matrix to obtain atoms and their positions from basis images.
    Type: Application
    Filed: March 10, 2022
    Publication date: November 24, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Abhishek AGARWAL, Sriram GOVERAPET SRINIVASAN, Beena RAI
  • Patent number: 11507710
    Abstract: This disclosure relates generally to system and method for optimization of industrial processes, for example a tundish process. Typically geometries for industrial processes are simulated in a numerical analysis model such as a CFD. In order to simulate a physical phenomenon (such as tundish process) numerically, the domain thereof is discretized in order to convert the differential equations to be solved in the domain into linear equations. The accuracy of a CFD solution is dependent on a mesh of the domain, which in turn depends on a geometry thereof. For setting up an optimization task, the disclosed method provides first a CFD friendly base geometry, so that a faulty geometry can be detected before forming the complete geometry.
    Type: Grant
    Filed: February 17, 2021
    Date of Patent: November 22, 2022
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Prateek Singh, Dilshad Ahmad, Saurabh Mangal
  • Publication number: 20220366618
    Abstract: The disclosure herein relates to methods and systems for localized smoke removal and color restoration of a real-time video. Conventional techniques apply the de-smoking process only on a single image, by finding the regions having the smoke, based on manual air-light estimation. In addition, regaining original colors of de-smoked image is quite challenging. The present disclosure herein solves the technical problems. In the first stage, video frames having the smoky and smoke-free video frames are identified, from the video received in the real-time. In the second stage, an air-light is estimated automatically using a combined feature map. An intermediate de-smoked video frame for each smoky video frame is generated based on the air-light using a de-smoking algorithm. In the third and the last stage, a smoke-free video reference frame is used to compensate for color distortions introduced by the de-smoking algorithm in the second stage.
    Type: Application
    Filed: December 20, 2021
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Jayavardhana Rama Gubbi Lakshminarasimha, KARTHIK SEEMAKURTHY, VARTIKA SENGAR, APARNA KANAKATTE GURUMURTHY, AVIK GHOSE, BALAMURALIDHAR PURUSHOTHAMAN, MURALI PODUVAL, JAYEETA SAHA, SRINIVASAN JAYARAMAN, VIVEK Bangalore Sampathkumar
  • Publication number: 20220365817
    Abstract: Existing techniques of managing Electronic Design Automation (EDA) on cloud are based on pre-defined policies which result in costly burst patterns and server farm tilt. Embodiments of present disclosure overcomes these drawbacks by a method and system for managing EDA on cloud which employ machine learning to predict optimal resource configurations for deploying EDA jobs and configuration circuit on cloud that holds resources required by the optimal resource configuration. Further, different Cloud Service Providers (CSP) are evaluated to determine least cost CSP which has the desired configuration circuit. Completion time of jobs and time required to burst the jobs on cloud are calculated based on which a wait time is determined. The jobs are retained in the queue for corresponding wait time before deploying them on the cloud. The jobs are deployed on the on-prem infrastructure if resources are freed up before the wait time.
    Type: Application
    Filed: April 28, 2022
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Guru Charan Prasad JONNALAGADDA, Monika BHUVANAGIRI, Swathi CHITTAJALLU
  • Publication number: 20220365963
    Abstract: Image Retrieval is an application of computer vision that deals with searching images in large databases. Conventional methods utilize the entire image to perform the image retrieval task rather than considering specific features. The embodiments herein provide a method and system for feature based image retrieval. Initially, the system receives an input image and a query label. Further, a feature specific encoder is selected from a plurality of feature specific encoders based on the query label. A first set of feature vectors are computed from the input image using the selected feature specific encoder. Further, a Locality Sensitive Hashing (LSH) value is computed from the first set of feature vectors. Finally, a plurality of matching images is obtained from a plurality database images based on a comparison between the computed feature specific LSH value and a plurality of feature specific LSH values stored in a feature specific LSH database.
    Type: Application
    Filed: April 21, 2022
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Preetam Prabhu Srikar DAMMU, Srinivasa Rao CHALAMALA, Ajeet Kumar SINGH
  • Publication number: 20220365812
    Abstract: This disclosure relates generally to method of modernizing a legacy batch based on at least one functional context. The method includes at least one of: preprocessing, a plurality of metadata associated with a plurality of batches to obtain a plurality of derived data; generating, the functional context based on the plurality of derived data; determining, an average elapsed time for at least one application from the at least one functional context; parsing, log of the at least one consistent long running job to identify step and associated file referenced in the at least one long running job; determining, a hotspot based on at least program; and recommending, at least one batch design associated with at least one batch job in a future state. The hotspot corresponds to long running job on a batch stream, high volume files, and program with an increased millions of instructions per second (MIPS) usage.
    Type: Application
    Filed: January 3, 2022
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: BALAKUMAR PARANTHAMAN, AASHISH CHANDRA, KADER MUHIDEEN VARUSAI IQBAL
  • Publication number: 20220366351
    Abstract: The method and system of the present disclosure facilitate automatic, and in an objective manner, selection of an optimal set of technical questions, from a question bank, personalized for a candidate. This ensures consistent, standardized, efficient and objective interviews that result in high quality recruitment, given the diversity of candidates, complexity of job requirements and interviews are inherently subjective. The state-of-the-art depends on responses so far, to generate on-the-fly questions causing a cognitive load on the interviewer. Also, there is no guarantee on the breadth and depth of concepts assessed in each interview. In the present disclosure, skill graphs are employed to create a semantically rich and detailed characterization of questions in terms of concepts. Optimization formulation uses the skill graph to generate constraints, content balancing and objective functions for selection of questions.
    Type: Application
    Filed: December 28, 2021
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Soham DATTA, Prabir MALLICK, Indrajit BHATTACHARYA, Sangameshwar PATIL, Girish PALSHIKAR
  • Publication number: 20220365866
    Abstract: Emulation has become a critical method for the initial phase of verification and validation processes. However, achieving interoperability between emulation systems and ensuring credibility of results currently require significant efforts. This disclosure relates to a system and method for providing an emulation as a service (EaaS) framework for communication networks. The EaaS framework provides discoverable services that are readily available on-demand and deliver a choice of applications in a flexible and adaptive manner. The EaaS framework is used for discovery, composition, execution, and management of emulation services. The EaaS framework defines user-facing capabilities (front-end) and underlying core functional infrastructure (back-end). The front end provides access to a large variety of emulation capabilities from which the user is able to select the services and track the experiences.
    Type: Application
    Filed: March 4, 2022
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: GARIMA MISHRA, SAMAR SHAILENDRA, HEMANT KUMAR RATH
  • Publication number: 20220368882
    Abstract: This disclosure relates generally to method and system for draping a 3D garment on a 3D human body. Dressing digital humans in 3D have gained much attention due to its use in online shopping and draping 3D garments over the 3D human body has immense applications in virtual try-on, animations, and accurate fitment of the 3D garment is the utmost importance. The proposed disclosure is a single unified garment deformation model that learns the shared space of variations for a body shape, a body pose, and a styling garment. The method receives a plurality of human body inputs to construct a 3D skinned garments for the subject. The deep draper network trained using a plurality of losses provides efficient deep neural network based method that predicts fast and accurate 3D garment images. The method couples the geometric and multi-view perceptual constraints that efficiently learn the garment deformation's high-frequency geometry.
    Type: Application
    Filed: December 29, 2021
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: LOKENDER TIWARI, BROJESHWAR BHOWMICK
  • Publication number: 20220366342
    Abstract: An enterprise needs to accomplish IP adoption in a progressive and result oriented manner commensurate to its IP-led objectives. A method and system for providing intellectual property adoption recommendations to an enterprise have been provided. The disclosure also provides dynamic guidance and recommendation towards course correction to arrive at target state of IP led business. In order to capture the various aspects of enterprises' IP adoption, lifecycle phases of IP in an enterprise are considered as capability dimensions of a maturity model. To effectively measure the capability attributes' maturity levels in relation to defined goals, a set of IP metrics are determined for each capability maturity level. The IP adoption maturity levels are assessed and roll up to a 5-point IP adoption index that is an indicator of IP adoption maturity of the enterprise and enables it to set its IP goals and to build an IP adoption roadmap.
    Type: Application
    Filed: September 17, 2021
    Publication date: November 17, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: PARTHAPRATIM INDRA, SHEKHAR GUHA
  • Patent number: 11501777
    Abstract: The disclosure herein relates to methods and systems for enabling human-robot interaction (HRI) to resolve task ambiguity. Conventional techniques that initiates continuous dialogue with the human to ask a suitable question based on the observed scene until resolving the ambiguity are limited. The present disclosure use the concept of Talk-to-Resolve (TTR) which initiates a continuous dialogue with the user based on visual uncertainty analysis and by asking a suitable question that convey the veracity of the problem to the user and seek guidance until all the ambiguities are resolved. The suitable question is formulated based on the scene understanding and the argument spans present in the natural language instruction. The present disclosure asks questions in a natural way that not only ensures that the user can understand the type of confusion, the robot is facing; but also ensures minimal and relevant questioning to resolve the ambiguities.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: November 15, 2022
    Assignee: Tata Consultancy Services Limited
    Inventors: Chayan Sarkar, Pradip Pramanick, Snehasis Banerjee, Brojeshwar Bhowmick