公开(公告)号：US20230334300A1

公开(公告)日：2023-10-19

申请号：US18080097

申请日：2022-12-13

Applicant: Tata Consultancy Services Limited

Inventor： Dighanchal BANERJEE ,  Arijit Mukherjee ,  Sounak Dey ,  Arun George ,  Arpan Pal

IPC: G06N3/049 ,  G06N3/08 ,  G06N3/044

CPC classification number: G06N3/049 ,  G06N3/08 ,  G06N3/044

Abstract: The present disclosure relates to methods and systems for time-series classification using a reservoir-based spiking neural network, that can be used at edge computing applications. Conventional reservoir based SNN techniques addressed either by using non-bio-plausible backpropagation-based mechanisms, or by optimizing the network weight parameters. The present disclosure solves the technical problems of TSC, using a reservoir-based spiking neural network. According to the present disclosure, the time-series data is encoded first using a spiking encoder. Then the spiking reservoir is used to extract the spatio-temporal features for the time-series data. Lastly, the extracted spatio-temporal features of the time-series data is used to train a classifier to obtain the time-series classification model that is used to classify the time-series data in real-time, received from edge devices present at the edge computing network.

公开(公告)号：US20230291119A1

公开(公告)日：2023-09-14

申请号：US18112724

申请日：2023-02-22

Applicant: Tata Consultancy Services Limited

Inventor： Tapas CHAKRAVARTY ,  Aman Kumar ,  Arpan Pal

IPC: H01Q21/06 ,  H01Q15/00 ,  H01Q3/38

CPC classification number: H01Q21/065 ,  H01Q15/002 ,  H01Q3/38

Abstract: This disclosure relates generally to metasurface beam steering antenna and method of setting antenna beam angle. Conventional approaches perform electronically beam steering using phase array which requires bandwidth with higher data rates. The present disclosure enables metasurface antennas tilt antenna beam in a given direction, where the varactor diodes are operated in reverse bias so that different values of capacitors combination lead to electronic beam scanning. The processor of the metasurface beam steering antenna receives a command having an input angle to tilt the angle beam position. The processor processes the command by mapping the input angle with the set of c-shaped copper patch combination having the capacitor values using a predefined lookup table for setting the antenna beam angle based on a reference voltage generated by the varactor diode. The lookup table is iteratively updated with the capacitor values of the c-shaped copper patches.

公开(公告)号：US11668621B2

公开(公告)日：2023-06-06

申请号：US17453031

申请日：2021-11-01

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Sinharay ,  Gitesh Kulkarni ,  Abhijeet Gorey ,  Chirabrata Bhaumik ,  Tapas Chakravarty ,  Arpan Pal

IPC: G01M3/24 ,  F17D5/06 ,  G01S19/01

CPC classification number: G01M3/243 ,  G01S19/01

Abstract: Fluids are normally transported from one place to another through pipelines. It is essential to monitor the pipeline to avoid leakage or theft. It is expensive and not feasible to install cameras and sensors along the whole length of the pipeline. A system and method for inspecting and detecting fluid leakage in a pipeline has been provided. The system is using vibration sensors along with pressure sensors to detect the leakage or theft along with the exact location of the leakage or theft. The pressure sensors are mounted on the pipeline so that the fluid touches the diaphragm of the pressure sensors to sense the wave generated due to leakage. The vibration sensors are mounted on top of the pipeline surface and on the nearby ground to eliminate general noise conditions. Moreover, two pressure sensors are also installed at opposite sides to pinpoint the leakage location.

公开(公告)号：US11573563B2

公开(公告)日：2023-02-07

申请号：US16988453

申请日：2020-08-07

Applicant: Tata Consultancy Services Limited

Inventor： Abhijan Bhattacharyya ,  Ashis Sau ,  Ruddra Dev Roychoudhury ,  Hrishav Bakul Barua ,  Chayan Sarkar ,  Sayan Paul ,  Brojeshwar Bhowmick ,  Arpan Pal ,  Balamuralidhar Purushothaman

IPC: G05D1/00 ,  G05D1/02 ,  H04L67/141

Abstract: Robotic platform for tele-presence applications has gained paramount importance, such as for remote meetings, group discussions, and the like and has sought much attention. There exist some robotic platforms for such tele-presence applications, these lack efficacy in communication and interaction between remote person and avatar robot deployed in another geographic location thus adding network overhead. Embodiments of the present disclosure for edge centric communication protocol for remotely maneuvering tele-presence robot in geographically distributed environment. More specifically, edge-centric tele-presence robot architecture is provided for maneuvering tele-presence robot in distributed geographical environment, wherein the architecture provides a framework that implements both cloud and edge-centric systems together with a first communication protocol for communication between a master device and an edge device and a second communication protocol different from the first communication protocol for communication between the edge device and the tele-presence robot to improve robustness and efficacy in communication.

公开(公告)号：US11488026B2

公开(公告)日：2022-11-01

申请号：US16535668

申请日：2019-08-08

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Arijit Mukherjee ,  Arpan Pal ,  Balamuralidhar Purushothaman

IPC: G06N3/10 ,  G06N3/04 ,  G06N3/08 ,  H04L41/142

Abstract: A growing need for inferencing to be run on fog devices exists, in order to reduce the upstream network traffic. However, being computationally constrained in nature, executing complex deep inferencing models on such devices has been proved difficult. A system and method for partitioning of deep convolution neural network for execution of computationally constraint devices at a network edge has been provided. The system is configured to use depth wise input partitioning of convolutional operations in deep convolutional neural network (DCNN). The convolution operation is performed based on an input filter depth and number of filters for determining the appropriate parameters for partitioning based on an inference speedup method. The system uses a master-slave network for partitioning the input. The system is configured to address these problems by depth wise partitioning of input which ensures speedup inference of convolution operations by reducing pixel overlaps.

公开(公告)号：US11432779B2

公开(公告)日：2022-09-06

申请号：US16823415

申请日：2020-03-19

Applicant: Tata Consultancy Services Limited

Inventor： Sanjay Madhukar Kimbahune ,  Sujit Raghunath Shinde ,  Karan Bhavsar ,  Arpan Pal ,  Avik Ghose

IPC: A61B5/00 ,  G16H50/20 ,  A61B5/024 ,  G06F3/044

Abstract: Many capacitive sensing based biosignal measurements methods exist, which are generic as they do not personalize biosignal measurement. Further, are do not provide device agnostic solutions. A method and system for capacitive touch panel based biosignal measurement is provided. The method senses a change in raw capacitance value of a capacitive touch panel. However, unlike existing methods that directly utilize the raw signal for biosignal measurements, the method disclosed derives a normalized signal by normalizing a raw signal corresponding to the change in raw capacitance of the capacitive touch panel. The normalization considers inter-relationships between a plurality of variables that affect the raw capacitance value such as a set of device specific parameters associated with the capacitive touch panel of the device, a set of ethnographic parameters, and metadata associated with the subject. Thus, method provides higher accuracy in biosignal measurement using capacitive touch panel based devices by personalizing the biosignal measurements.

公开(公告)号：US11354339B2

公开(公告)日：2022-06-07

申请号：US16506505

申请日：2019-07-09

Applicant: Tata Consultancy Services Limited

Inventor： Deepan Das ,  Shreyasi Datta ,  Tanuka Bhattacharjee ,  Anirban Dutta Choudhury ,  Arpan Pal

IPC: G06F16/00 ,  G06F16/28 ,  G16H15/00 ,  A61B5/16 ,  A61B5/00 ,  A61B5/369

Abstract: A method and system for clustering users using cognitive stress report for classifying stress levels is provided. Detection and monitoring of cognitive stress experienced by users while performing a task is very crucial. The method includes receiving, user evaluated cognitive stress reports and the physiological signals of the user during the performance of the task. A normalized cognitive report is generated from the user evaluated cognitive stress report by computing mode and range value. The normalized cognitive stress reports of the users are used to cluster the users into a primary cluster and a secondary cluster. Feature sets are extracted from the physiological signals of the said users associated with the primary cluster. Using the said feature sets a classifier model is trained to classify the cognitive stress levels of the users as stressful class or stressless class.

公开(公告)号：US11263450B2

公开(公告)日：2022-03-01

申请号：US16264786

申请日：2019-02-01

Applicant: Tata Consultancy Services Limited

Inventor： Soma Bandyopadhyay ,  Arijit Ukil ,  Chetanya Puri ,  Rituraj Singh ,  Arpan Pal ,  C A Murthy

IPC: G06K9/00 ,  G06K9/62 ,  A61B5/0452 ,  A61B5/349

Abstract: The present disclosure addresses the technical problem of information loss while representing a physiological signal in the form of symbols and for recognizing patterns inside the signal. Thus making it difficult to retain or extract any relevant information which can be used to detect anomalies in the signal. A system and method for anomaly detection and discovering pattern in a signal using morphology aware symbolic representation has been provided. The system discovers pattern atoms based on the strictly increasing and strictly decreasing characteristics of the time series physiological signal, and generate symbolic representation in terms of these pattern atoms. Additionally the method possess more generalization capability in terms of granularity. This detects discord/abnormal phenomena with consistency.

公开(公告)号：US11213210B2

公开(公告)日：2022-01-04

申请号：US16285519

申请日：2019-02-26

Applicant: Tata Consultancy Services Limited

Inventor： Rohan Banerjee ,  Sakyajit Bhattacharya ,  Soma Bandyopadhyay ,  Arpan Pal ,  Kayapanda Muthana Mandana

IPC: A61B5/02 ,  G16H50/30 ,  A61B5/00 ,  G16H50/20 ,  A61B5/024 ,  A61B7/04

Abstract: Non-invasive methods for accurately classifying Coronary Artery Disease (CAD) is a challenging task. In the present disclosure, a two stage classification is performed. In the first stage of classification, a metadata based rule engine is utilized to classify a subject into one of a confirmed CAD subject, a CAD subject and a non-CAD subject. Here, a set of optimal parameters are selected from a set of metadata associated with the subject based on a difference in frequency of occurrence of the CAD among a disease population and a non-disease population. Further, an optimal threshold associated with each optimal parameter is calculated based on an inflexion based correlation analysis. Further, the CAD subject, classified by the metadata based rule engine is further reclassified in a second stage by utilizing a set of cardiovascular signal into one of the CAD subject and the non-CAD subject.

公开(公告)号：US20210319046A1

公开(公告)日：2021-10-14

申请号：US17208395

申请日：2021-03-22

Applicant: Tata Consultancy Services Limited

Inventor： Soma Bandyopadhyay ,  Anish Datta ,  Arpan Pal

IPC: G06F16/28 ,  G06N3/04 ,  G06N3/08

Abstract: Conventional hierarchical time-series clustering is highly time consuming process as time-series are characteristically lengthy. Moreover, finding right similarity measure providing best possible hierarchical cluster is critical to derive accurate inferences from the hierarchical clusters. Method and system for Auto Encoded Compact Sequences (AECS) based hierarchical time-series clustering that enables compact latent representation of time-series using an undercomplete multilayered Seq2Seq LSTM auto encoder followed by generating of HCs using multiple similarity measures is disclosed. Further, provided is a mechanism to select the best HC among the multiple HCs on-the-fly, based on an internal clustering performance measure of Modified Hubert statistic τ. Thus, the method provides time efficient and low computational cost approach for hierarchical clustering for both on univariate and multivariate time-series. AECS approach provides a constant length sequence across diverse length series and hence provides a generalized approach.