Patents by Inventor Shubhrangshu GHOSH
Shubhrangshu GHOSH 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: 11906958Abstract: State-of-the-art approaches have concentrated on building solution(s) to match the amplitude of a time series with a user given one. However, these have failed to implement solution(s) which enables searching for pattern(s) that can depict human vision psychology. Embodiments of the present disclosure determine occurrence of pattern of interest in time series data for anomaly detection, wherein time series data is obtained, and first order derivative is computed. Further an angle of change in direction is derived based on a gradient of change in value of the time series data. This angle is further converted to a measurement unit. The time series data is quantized into bins and a weighted finite state transducers diagram (WFSTD) is obtained based on domain knowledge which is then converted to specific pattern. The specific pattern is searched in the bins to determine occurrence/count of the specific pattern for anomaly detection.Type: GrantFiled: July 2, 2021Date of Patent: February 20, 2024Assignee: Tata Consultancy Services LimitedInventors: Tanushyam Chattopadhyay, Abhisek Das, Suvra Dutta, Shubhrangshu Ghosh, Prateep Misra
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Publication number: 20220327336Abstract: Industries deploy a plethora of sensors that are attached to a system or human being, respectively. Under multi-sensor environment scenarios, there is a need to detect which sensors are behaving similarly within a time span. Sensor values often vary in range of values yet depict similar time series characteristic and sometimes have a phase difference in operation, thus making it impossible to detect such sensor similarity in a large system where the number of input parameters/sensor observations. Systems and methods of the present disclosure determine similar behavioral pattern between time series data obtained from multiple sensors and cluster the sensors. The system implements a pattern recognition-based approach to find the similarity and then applies a Dynamic Programming-based approach to detect similarity in at least two time series data and cluster the sensors and corresponding time series data into specific cluster(s).Type: ApplicationFiled: July 6, 2021Publication date: October 13, 2022Applicant: Tata Consultancy Services LimitedInventors: Tanushyam Chattopadhyay, ABHISEK DAS, PRATEEP MISRA, SHUBHRANGSHU GHOSH, SUVRA DUTTA
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Patent number: 11449522Abstract: Sensor data (or IoT) analytics plays a critical role in taking business decisions for various entities (e.g., organizations, project owners, and the like). However, scaling of such analytical solutions beyond certain point requires adopting to various computing environments which seems to be challenging with the constrained resources available. Embodiments of the present disclosure provide system and method for analysing and executing sensor observational data in computing environments, wherein extract, transform, load (ETL) workflow pipeline created by users in the cloud, can be seamlessly deployed to job execution service available in cloud/edge without any changes in the code/config by end user. The configuration changes are internally handled by the system based on the selected computing environment and queries are executed either in distributed or non-distributed environments to output data frames.Type: GrantFiled: June 28, 2021Date of Patent: September 20, 2022Assignee: TATA CONSULTANCY SERVICES LIMITEDInventors: Tanushyam Chattopadhyay, Arindam Halder, Sangram Dasharath Gaikwad, Tania Ghosh, Abhisek Das, Shubhrangshu Ghosh, Suvra Dutta, Prateep Misra
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Publication number: 20220269689Abstract: Sensor data (or IoT) analytics plays a critical role in taking business decisions for various entities (e.g., organizations, project owners, and the like). However, scaling of such analytical solutions beyond certain point requires adopting to various computing environments which seems to be challenging with the constrained resources available. Embodiments of the present disclosure provide system and method for analysing and executing sensor observational data in computing environments, wherein extract, transform, load (ETL) workflow pipeline created by users in the cloud, can be seamlessly deployed to job execution service available in cloud/edge without any changes in the code/config by end user. The configuration changes are internally handled by the system based on the selected computing environment and queries are executed either in distributed or non-distributed environments to output data frames.Type: ApplicationFiled: June 28, 2021Publication date: August 25, 2022Applicant: Tata Consultancy Services LimitedInventors: Tanushyam CHATTOPADHYAY, Arindam HALDER, Sangram Dasharath GAIKWAD, Tania GHOSH, Abhisek DAS, Shubhrangshu GHOSH, Suvra DUTTA, Prateep MISRA
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Publication number: 20220221847Abstract: State-of-the-art approaches have concentrated on building solution(s) to match the amplitude of a time series with a user given one. However, these have failed to implement solution(s) which enables searching for pattern(s) that can depict human vision psychology. Embodiments of the present disclosure determine occurrence of pattern of interest in time series data for anomaly detection, wherein time series data is obtained, and first order derivative is computed. Further an angle of change in direction is derived based on a gradient of change in value of the time series data. This angle is further converted to a measurement unit. The time series data is quantized into bins and a weighted finite state transducers diagram (WFSTD) is obtained based on domain knowledge which is then converted to specific pattern. The specific pattern is searched in the bins to determine occurrence/count of the specific pattern for anomaly detection.Type: ApplicationFiled: July 2, 2021Publication date: July 14, 2022Applicant: Tata Consultancy Services LimitedInventors: Tanushyam CHATTOPADHYAY, Abhisek DAS, Suvra DUTTA, Shubhrangshu GHOSH, Prateep MISRA
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Publication number: 20220092432Abstract: Conventionally, detecting time when a device is going to fail in real time has been a real challenge given the associated constraints and requirements. Due to absence in any supporting information or annotated data, traditional approaches have failed to detection abnormality in devices. Present disclosure provide systems and methods for detecting abnormal behaviour of a device from associated unlabeled sensor observations wherein KPIs are computed based on unlabeled sensor observations of at least two sensor parameters and windowing technique is applied on modified dataset to obtain windowed dataset based on which hyper-parameters of deep learning-based auto-encoder are optimized to obtain set of embeddings. Dimensionality reduction technique is applied on the embeddings to obtain embeddings with reduced dimension. Density based clustering technique with hyper-parameters is applied on embeddings with reduced dimension and cluster(s) for unlabeled sensor observations are obtained.Type: ApplicationFiled: June 29, 2021Publication date: March 24, 2022Applicant: Tata Consultancy Services LimitedInventors: Tanushyam CHATTOPADHYAY, Suvra DUTTA, Abhisek DAS, Shubhrangshu GHOSH, Prateep KISRA
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Patent number: 10667107Abstract: This disclosure relates generally to surveillance, and more particularly to perform entry and exit monitoring of a user. In an embodiment, the system identifies an entry event (during which a user enters a room being surveilled) and/or an exit event (during which a user leaves a room being surveilled), based on a Bluetooth Low Energy (BLE) based system. This system uses two receivers one positioned outside and the other positioned inside the room being surveilled, to receive BLE beacon transmitted by a user who is in motion. Based on relative change in Received Signal Strength Indicator (RSSI) values of this beacon with respect to the first and second receivers, the system identifies direction of movement of the user, and in turn, determines one of the entry or exit events.Type: GrantFiled: August 29, 2018Date of Patent: May 26, 2020Assignee: Tata Consultancy Services LimitedInventors: Chirabrata Bhaumik, Amit Kumar Agrawal, Abhijit Barman, Shubhrangshu Ghosh, Prateep Misra
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Publication number: 20190069152Abstract: This disclosure relates generally to surveillance, and more particularly to perform entry and exit monitoring of a user. In an embodiment, the system identifies an entry event (during which a user enters a room being surveilled) and/or an exit event (during which a user leaves a room being surveilled), based on a Bluetooth Low Energy (BLE) based system. This system uses two receivers one positioned outside and the other positioned inside the room being surveilled, to receive BLE beacon transmitted by a user who is in motion. Based on relative change in Received Signal Strength Indicator (RSSI) values of this beacon with respect to the first and second receivers, the system identifies direction of movement of the user, and in turn, determines one of the entry or exit events.Type: ApplicationFiled: August 29, 2018Publication date: February 28, 2019Applicant: Tata Consultancy Services LimitedInventors: Chirabrata BHAUMIK, Amit Kumar AGRAWAL, Abhijit BARMAN, Shubhrangshu GHOSH, Prateep MISRA