公开(公告)号：US12050448B2

公开(公告)日：2024-07-30

申请号：US17586995

申请日：2022-01-28

Applicant: Tata Consultancy Services Limited

Inventor： Venkata Sudheendra Buddhiraju ,  Venkataramana Runkana ,  Vishnu Swaroopji Masampally ,  Anshul Agarwal ,  Amey Ahsok Kulkarni ,  Keshari Nandan Gupta ,  Navnath Manohar Deore ,  Vinesh Balakrishnan Yezhuvath ,  Anamika Tiwari ,  Anurag Singh Rathore ,  Garima Thakur ,  Nikita Saxena ,  Shantanu Banerjee

IPC: G05B19/05 ,  C12M1/36 ,  G05B13/04 ,  G06N5/01

CPC classification number: G05B19/054 ,  G05B19/056 ,  G06N5/01 ,  G05B2219/13149 ,  G05B2219/14058 ,  G05B2219/14083

Abstract: Process control of continuous production of biomolecules is a major challenge due to complex nature of processes and time scales of operations involved. Availability of key process variables in real-time is one of main requirements. This disclosure relates to a processor implemented method of controlling a continuous bioprocessing plant which includes at least one of: receiving, an input data associated with one or more equipments; generating, by a recipe builder, a sequence of unit operations to determine at least one job order based on the at least input data; obtaining, a control decision associated with a control parameter based on the at least one job order; communicating, via the middleware, the control decision associated with the control parameter to the PLC; and executing, by a control system of the PLC, the control decision on a unit equipment to control: (i) a continuous bioprocessing train, and (ii) an individual unit operation.

公开(公告)号：US20230134595A1

公开(公告)日：2023-05-04

申请号：US17731550

申请日：2022-04-28

Applicant: Tata Consultancy Services Limited

Inventor： Sagar Srinivas SAKHINANA ,  Venkata Sudheendra Buddhiraju ,  Sri Harsha Nistala Buddhiraju ,  Venkataramana Runkana

IPC: G16C20/70 ,  G16C20/90 ,  G16C20/30

Abstract: This disclosure relates generally to system and method for molecular property prediction. The method utilizes a set-pooling aggregation operator to derive a graph-level representation of a complete input molecular graphs to assist in inductive learning tasks. The method includes iteratively down-sampling the molecular graph into a coarsened molecular graph, and determining adjacency matrix and feature matrix of the coarsened molecular graph. The method then includes computing an average of the hidden state node attributes of the coarsened graph obtained after preforming the iterations to obtain a graph level representation vector of the molecular graph. Using a linear layer from the graph level representation vector the molecular properties are determined.

公开(公告)号：US12203599B2

公开(公告)日：2025-01-21

申请号：US17194032

申请日：2021-03-05

Applicant: Tata Consultancy Services Limited

Inventor： Aswin Vinod Muthachikavil ,  Venkata Sudheendra Buddhiraju ,  Venkataramana Runkana

IPC: F17C11/00 ,  C01B3/06 ,  G06N20/00 ,  G16C20/30

Abstract: Hydrogen being a clean, highly abundant and renewable fuel, is a promising alternative for conventional energy sources. Mostly, this hydrogen is stored in the form of hydrides. The existing methods for identification of material for hydrogen storage as expensive and time consuming. A method and system of identification of materials for hydrogen storage has been provided. The method provides a machine learning technique to predict the hydrogen storage capacity of materials, using only the compositional information of the compound. A random forest model used in the work was able to predict the gravimetric hydrogen storage capacities of intermetallic compounds. The method and system is also configured to predict the thermodynamic stability of the intermetallic compound.

公开(公告)号：US20230115719A1

公开(公告)日：2023-04-13

申请号：US17825033

申请日：2022-05-26

Applicant: Tata Consultancy Services Limited

Inventor： Sagar Srinivas SAKHINANA ,  Venkata Sudheendra Buddhiraju ,  Sri Harsha Nistala ,  Venkataramana Runkana

IPC: G16C10/00 ,  G06N3/04 ,  G06N3/063 ,  G16C20/30 ,  G16C20/70

Abstract: This disclosure relates generally to Error! Reference source not found.system and method for molecular property prediction. The conventional methods for molecular property prediction suffer from inherent limitation to effectively encapsulate the characteristics of the molecular graph. Moreover, the known methods are computationally intensive, thereby leading to non-performance in real-time scenarios. The disclosed method includes performing self-attention on the nodes of a molecular graph of different sized neighborhood, and further performing a shared attention mechanism across the nodes of the molecular graphs to compute attention coefficients using an Edge-conditioned graph attention neural network (EC-GAT). The EC-GAT effectively utilizes the edge characteristics in the molecular graph for molecular property prediction.

公开(公告)号：US12102941B2

公开(公告)日：2024-10-01

申请号：US17383117

申请日：2021-07-22

Applicant: Tata Consultancy Services Limited

Inventor： Venkataramana Runkana ,  Venkata Sudheendra Buddhiraju ,  Aditya Pareek ,  Vishnu Swaroopji Masampally ,  Karundev Premraj

IPC: B01D15/38 ,  B01D15/18 ,  C07K1/16 ,  C07K1/36 ,  G01N30/46

CPC classification number: B01D15/3809 ,  B01D15/1885 ,  C07K1/16 ,  C07K1/36 ,  G01N30/466

Abstract: The disclosure generally relates to methods and systems for determining multi-column chromatography process configuration for capturing antibodies. Conventional approaches for design of MCC configuration are limited to rule based, either driven by UV spectroscopic measurements or by performing number of experiments, which involves a lot of material costs and time utilization. The present disclosure solves the technical problem of identifying the operational conditions that optimized the MCC process and the MCC configuration. A multi-objective optimization function defined with one or more decision variables associated with the operating conditions is considered to determine the optimal MCC configuration, while satisfying purification goals. The one or more key performance measures of the MCC process comprises a productivity, a capacity utilization, a product yield, and a product purity. The significant amount of time and the material cost invested for designing the optimum MCC configuration is decreased by the present disclosure.

公开(公告)号：US12051932B2

公开(公告)日：2024-07-30

申请号：US17453606

申请日：2021-11-04

Applicant: Tata Consultancy Services Limited

Inventor： Muralikrishnan Ramanujam ,  Shashank Agarwal ,  Venkata Sudheendra Buddhiraju ,  Aditya Pareek ,  Swati Sahu ,  Venkatramana Runkana ,  Saurabh Jaywant Desai

IPC: H02J7/00 ,  B60L53/60 ,  B60L58/12

CPC classification number: H02J7/00712 ,  B60L53/60 ,  B60L58/12 ,  H02J7/00032 ,  H02J7/0014 ,  H02J7/005 ,  H02J7/0063 ,  H02J7/007192

Abstract: The efficient operation of an electric vehicle depends greatly on proper functioning of a battery pack in the electric vehicle. A system and method for optimizing the operation of the battery pack in an electric vehicle is provided. The system comprises a digital twin for a battery pack in an electric vehicle. The system determines the state of charge, state of health and temperature distribution in the battery pack using various models. This information can be used to predict optimal charge and discharge profiles of the battery pack for given load conditions, as well as remaining useful life of the battery. The digital twin would require inputs such as battery temperatures from the sensors, coolant flow rates, coolant temperature, ambient temperature, load on the vehicle, current and voltages from the pack and battery characteristics from the manufacturer.

公开(公告)号：US20240249043A1

公开(公告)日：2024-07-25

申请号：US18524400

申请日：2023-11-30

Applicant: Tata Consultancy Services Limited

Inventor： Swati Sahu ,  Vishnu Swaroopji Masampally ,  Venkata Sudheendra Buddhiraju ,  Venkataramana Runkana ,  Aswin Muthachikavil

IPC: G06F30/25 ,  G06F119/02

CPC classification number: G06F30/25 ,  G06F2119/02

Abstract: This disclosure relates generally to system and method for identifying suitable equipment for pelletizations of particles. Conventional approaches for identifying pelletization equipment for a process are cumbersome and unmethodical. Even though, methods of identifying optimal operating conditions in a particular equipment for a desired product specification are widely discussed in literature, these research works lack in considering practical criteria like equipment cost, equipment capacity, equipment maintenance, etc., in addition to product specifications while deciding a suitable pelletization equipment. Present disclosure provides system and method that involve optimization to identify the best range of operating parameters in a pelletization equipment to achieve desired product size distribution for a given feed size distribution. The method is then used in a system for comparing different pelletization equipment based on different criteria and identifying a suitable pelletization equipment amongst them for use in obtaining pellets with desired product attributes.