公开(公告)号：US20230326101A1

公开(公告)日：2023-10-12

申请号：US18175484

申请日：2023-02-27

Applicant: Tata Consultancy Services Limited

Inventor： JAYAVARDHANA Rama Gubbi LAKSHMINARASIMHA ,  VISWANATH PAMULAKANTY SUDARSHAN ,  VARTIKA SENGAR ,  ARPAN PAL ,  PAVAN KUMAR REDDY KANCHAM

IPC: G06T11/00

CPC classification number: G06T11/006 ,  G06T11/005 ,  G06T2207/10081

Abstract: State of the art mechanisms being used for achieving diagnostic-quality images under low-dose settings for general CT imaging have the disadvantages that CT images are fixed during the optimization process to generate perfusion maps, which can lead to suboptimal CT images with respect to the perfusion maps generated, although they might appear spatially smooth or denoised. The disclosure herein generally relates to Computer Tomography (CT) scanning, and, more particularly, to a method and system for CT image reconstruction. The system performs modelling an optimization problem for joint estimation of a set of structural CT images and a perfusion map, and further solves the optimization problem for the reconstruction of the CT images of a subject.

公开(公告)号：US20230130703A1

公开(公告)日：2023-04-27

申请号：US17813061

申请日：2022-07-18

Applicant: Tata Consultancy Services Limited

Inventor： SOMA BANDYOPADHYAY ,  TAPAS CHAKRAVARTY ,  ARPAN PAL ,  CHIRABRATA BHAUMIK ,  RIDDHI PANSE ,  ANISH DATTA

IPC: G06F30/23 ,  G06F30/27

Abstract: In sensor data analytics, physics-based models generate high quality data. However, these models consume lot of time as they rely on physical simulations. On the other hand, generative learning takes much less time to generate data, and may be prone to error. Present disclosure provides system and method for generation of synthetic machine data for healthy and abnormal condition using hybrid of physics based and generative model-based approach. Finite Element Analysis (FEA) is used for simulating healthy and faulty parts in machinery with set of parameters and pre-condition(s). Small output data from FEA is fed into a generative model for generating synthesized data by learning data distribution knowledge and representing into latent space. Rule engine is built using statistical features wherein realistic bounds serve as faulty data indicators. Synthesized data which does not satisfies features bounds are discarded. Further, AI-based validation framework is used to analyze quality of synthesized data.

公开(公告)号：US20240329233A1

公开(公告)日：2024-10-03

申请号：US18393219

申请日：2023-12-21

Applicant: Tata Consultancy Services Limited

Inventor： SOUMYA CHAKRAVARTY ,  ARIJIT CHOWDHURY ,  ARINDAM RAY ,  TAPAS CHAKRAVARTY ,  ACHANNA ANIL KUMAR ,  CHIRABRATA BHAUMIK ,  ARPAN PAL

IPC: G01S13/88 ,  G01S7/41 ,  G01S13/86 ,  G06V10/56 ,  G06V10/764 ,  G06V20/50 ,  G06V20/60

CPC classification number: G01S13/887 ,  G01S7/41 ,  G01S13/867 ,  G06V10/56 ,  G06V10/764 ,  G06V20/50 ,  G06V20/60

Abstract: In recent years, researchers have been focusing on the capabilities of radar-based microwave imaging in detection of concealed objects in sealed packages, through-the-wall imaging approach which faces challenge in suppress unwanted return signals. This disclosure relates a method to detect objects in sealed packages. One or more parameters associated with a conveyor are received to obtain a scan time of a radar. A sequence of scanning is determined between one or more antenna pairs based on corresponding position. A sealed package is scanned in the predetermined sequence to obtain range-time datasets with identifiers. The range-time datasets are processed by virtual antenna-pattern-weighted delay-multiply-and-sum technique based on one or more positions of each virtual antenna to determine one or more object signature images. A trained classification model based on extracted features associated with one or more object signature images.

公开(公告)号：US20240151846A1

公开(公告)日：2024-05-09

申请号：US18457984

申请日：2023-08-29

Applicant: Tata Consultancy Services Limited

Inventor： ACHANNA ANIL KUMAR ,  KRISHNA KANTH ROKKAM ,  ADITI KUCHIBHOTLA ,  KRITI KUMAR ,  TAPAS CHAKRAVARTY ,  ARPAN PAL ,  ANGSHUL MAJUMDAR

IPC: G01S13/89 ,  G01S7/41

CPC classification number: G01S13/89 ,  G01S7/41

Abstract: Existing multistatic configurations of Radar systems requires a direct LoS signal and/or time synchronization among the Radar transmitter and the multistatic distributed Radar receivers. The present disclosure provides a phaseless frequency-modulated continuous-wave multistatic Radar (PFMR) imaging that relaxes requirement of the direct LoS signal and only requires a plurality of parameters of a FMCW signal comprising a chirp signal rate, a carrier frequency and, a period of chirp to be known. Further, it also removes condition of the time synchronization among a plurality of FMCW multistatic distributed Radar receivers. However, because of absence of the time synchronization among a plurality of FMCW multistatic distributed Radar receivers, an unknown random phase offset appears after deramping. The present disclosure eliminates the unknown random phase offset, by performing autocorrelation function on a mixed signal, resulting in a phaseless measurement data corresponding to a plurality of FMCW Radar imaging signals.

公开(公告)号：US20230408682A1

公开(公告)日：2023-12-21

申请号：US18331384

申请日：2023-06-08

Applicant: Tata Consultancy Services Limited

Inventor： JAYAVARDHANA RAMA GUBBI LAKSHMINARASIMHA ,  RAM PRABHAKAR KATHIRVEL ,  VEERA HARIKRISHNA NUKALA ,  BALAMURALIDHAR PURUSHOTHAMAN ,  ARPAN PAL

IPC: G01S13/90 ,  G01S7/41

CPC classification number: G01S13/9027 ,  G01S7/417 ,  G06T2207/10044 ,  G06T2207/20081 ,  G06T2207/30181

Abstract: Optical images in remote sensing are contaminated by cloud cover and bad weather conditions and are only available during the daytime. Whereas SAR images are completely cloud free, independent of weather conditions and can be acquired both during the day and at night. However, due to the speckle effect and side looking imaging mechanism of SAR images, they are not easily interpretable by untrained people. To address this issue, the present disclosure provides a method and system for LULC guided SAR visualization, wherein a GAN is trained to translate SAR images to optical images for visualization. A given SAR image is fed into a first generator of the GAN to obtain LULC map which is then concatenated with the SAR image and fed into a second generator of the GAN to generate an optical image. The LULC map provides semantic information required for generation of more realistic optical image.

公开(公告)号：US20230006346A1

公开(公告)日：2023-01-05

申请号：US17663241

申请日：2022-05-13

Applicant: Tata Consultancy Services Limited

Inventor： TAPAS CHAKRAVARTY ,  AMAN KUMAR ,  ARPAN PAL ,  ACHANNA ANIL KUMAR ,  ROSHAN KHOBRAGADE ,  POORNIMA SUROJIA ,  PRANAY SAHAY ,  MANISH JAIN

IPC: H01Q3/08 ,  H01Q3/22 ,  H01Q9/04

Abstract: This disclosure relates generally to Millimeter Wave (MMW) frequency antenna scanning system. Conventional approaches available for scanning an antenna beam over a large angular swath with high directivity are unable to address concerns of size and cost involved. The technical problem of providing an MMW frequency antenna scanning system using a single small size antenna capable of scanning as desired at a desired precision is addressed in the present disclosure. The antenna scanning system provided is an electromechanical system that makes the system cost effective. Computer control provides precision control in beam steering from remote. Use of a metasurface and configuration of a radiating patch and a shorting pin in a microstrip antenna addresses the concern with regards to the size of the antenna scanning system.

公开(公告)号：US20240420387A1

公开(公告)日：2024-12-19

申请号：US18745440

申请日：2024-06-17

Applicant: Tata Consultancy Services Limited

Inventor： ANDREW GIGIE ,  KRISHNA KANTH ROKKAM ,  ACHANNA ANIL KUMAR ,  TAPAS CHAKRAVARTY ,  ARPAN PAL ,  ANWESHA KHASNOBISH

IPC: G06T11/00 ,  A61B5/00 ,  A61B5/0507 ,  G06T7/00 ,  G16H50/20

Abstract: Detecting cancer early can significantly reduce mortality rate, but this still remains a challenge owing to shortcomings in early screening and detection with existing modalities. Cancer detection is done using known screening methods such as X-ray mammography, Magnetic Resonance Imaging (MRI) and Ultrasound imaging (US). But these conventional methods have their own limitations such as compression discomfort, inherent health risks, expensive, and consume more time and effort. Present disclosure provides system and method for enhanced microwave imaging (MWI) for efficient breast tumor detection by scanning subject's specific body portion to optimize the scan duration. The MWI is framed as an inverse problem by building forward model using a Point Spread Function (PSF) and is solved by imposing sparsity prior since tumor is concentrated to limited regions. The entire scanning duration is optimized by viewing the problem as a sequential decision making process for a Deep Reinforcement Learning (DRL) agent.

公开(公告)号：US20240143979A1

公开(公告)日：2024-05-02

申请号：US18465046

申请日：2023-09-11

Applicant: Tata Consultancy Services Limited

Inventor： SOMA BANDYOPADHYAY ,  ANISH DATTA ,  CHIRABRATA BHAUMIK ,  TAPAS CHAKRAVARTY ,  ARPAN PAL ,  RIDDHI PANSE ,  MUDASSIR ALI SABIR

IPC: G06N3/0455

CPC classification number: G06N3/0455

Abstract: Synthetic data is an annotated information that computer simulations or algorithms generate as an alternative to real-world data. synthetic data is created in digital worlds rather than collected from or measured in the real world. Embodiments herein provide a method and system for generating synthetic data with domain adaptable features using a neural network. The system is configured to receive seed data from a source domain as an input data. The seed data is considered as a normal state of a machine. The normal state, which is an initial stage of the source domain, consists of a set of features with a certain range of values. Further, a neural network based model is used to generate high quality data with adaptation of the domain specific features. To obtain large amount data for training robust deep learning models to adapt domains emphasizing set of features/providing higher importance selectively.

公开(公告)号：US20230204494A1

公开(公告)日：2023-06-29

申请号：US18066374

申请日：2022-12-15

Applicant: Tata Consultancy Services Limited

Inventor： ACHANNA ANIL KUMAR ,  TAPAS CHAKRAVARTY ,  SUBHASRI CHATTERJEE ,  ARPAN PAL ,  JAYAVARDHANA RAMA GUBBI LAKSHMINARASIMHA ,  ROKKAM KRISHNA KANTH

IPC: G01N21/23 ,  G01J4/04 ,  G01N21/958

CPC classification number: G01N21/23 ,  G01J4/04 ,  G01N21/958

Abstract: Existing Mueller Matrix polarization techniques that rely only on polarization properties are insufficient for accurate characterization of transparent objects. Embodiments of the present disclosure provide a method and system for Mueller Matrix polarimetric characterization of transparent object using optical properties along with the polarization properties to accurately characterize the transparent object. The polarization properties of are derived from a decomposed Mueller matrix element. Additionally, the method derives the optical properties by further subjecting the decomposed Mueller matrix element to Fresnel’s law-based analysis and a reverse Monte Carlo analysis to extract optical properties such as a material refractive index and a material attenuation index. Optical properties vary with changes in the material property caused due to several factors such as manufacturing defect, aberration, inclusion of an impurity such as bubble or dust etc. Thus, considering the optical properties along with the polarization properties enables enhanced, accurate characterization of the transparent object.

公开(公告)号：US20230168743A1

公开(公告)日：2023-06-01

申请号：US17813376

申请日：2022-07-19

Applicant: Tata Consultancy Services Limited

Inventor： ANDREW GIGIE ,  ARUN GEORGE ,  ACHANNA ANIL KUMAR ,  SOUNAK DEY ,  KUCHIBHOTLA ADITI ,  ARPAN PAL

IPC: G06F3/01 ,  G01S15/62 ,  G01S15/66

CPC classification number: G06F3/017 ,  G01S15/62 ,  G01S15/66

Abstract: Gesture recognition is a key requirement for Human Computer Interaction (HCI) and multiple modalities are explored in literature. Conventionally, channel taps are estimated using least square based estimation and tap corresponding to finger motion is tracked. These assume that noise component is negligible and can reduce the tracking accuracy for low SNR. Thus, to mitigate the above-mentioned limitation, the system and method of the present disclosure explore the feasibility of using speaker and microphone setup available in most of smart devices and transmit inaudible frequencies (acoustic) for detecting the human finger level gestures accurately. More specifically, System implements the method for millimeter level finger tracking and low power gesture detection on this tracked gesture. The system uses a subspace based high resolution technique for delay estimation and use microphone pairs to jointly estimate the multi-coordinates of finger movement.