Tata Consultancy Services Limited

Tata Consultancy Services Limiteg

Sivakumar Subramanian

Venkataramana Runkana

Raviraju Vysyaraju

Arjun Kumar Pukkella

Anirudh Deodhar

Ashit Gupta

Gautam Shroff

Lovekesh Vig

Sunil Kumar Kopparapu

Pankaj Malhotra

Sri Harsha Nistala

Aditya Pareek

Vishnu Swaroopji Masampally

Rajan Kumar

Anagha Nikhil Mehrotra

Rohan Pandya

Abhishek Baikadi

Moksha Sunil Padsalgi

Nishit Raj

Solomon Pushparaj Manuelraj

Ankit Bansal

Vishnu Tankasala Veparala

Sriharsha Nistala

Nagaravi Kumarvarma Nadimpalli

Ratnamala Manna

Nital Shah

Mohammed Suhail

Akanksha Dhayal

Sai Prasad Parameswaran

Abhishek Krishnamoorthy Baikadi

Sandipan Maiti

Anirudh Makarand Deodhar

In an industrial plant, various equipment are used to handle processing of raw materials. Considering complexities involved in the processes and the equipment, constant monitoring is required to obtain desired results. The disclosure herein generally relates to industrial process and equipment monitoring, and, more particularly, to data analysis for Just In Time (JIT) characterization of raw materials in any process industry. The system collects real-time plant data among other inputs, and performs characterization of raw materials being used in the plant. The characterization involves categorizing the raw materials into different classes. The class information is further used to predict performance of the industrial plant, and in turn to generate recommendations for optimization of the industrial plant.

System and method for just in time characterization of raw materials

The ability to comprehend the context of a given programming artifact and extracting the underlying functionality is a complex task extending beyond just syntactic and semantic analysis of code. All existing automation capabilities, hence heavily depend on manual involvement of domain experts. Even recent approaches leveraging Machine Learning Capabilities are supervised techniques, whereby the dependency on domain experts still remains—in preparing suitable training sets. A method and system for automated classification of variables using unsupervised distribution agnostic clustering has been provided. The present disclosure focuses to tap the flexibility of the code and presents a domain agnostic approach using unsupervised machine learning which automatically extracts the context from source code, by classifying the underlying elements of the code. The method and system do not require any manual intervention and opens a wide range of opportunities in reverse engineering and variable level analysis space.

Method and system for monitoring and optimizing the operation of an alumina rotary kiln

This disclosure relates to optimizing an operation of an equipment by a neural network based optimizer is provided. The method include receiving, information associated with at least one equipment instance (j) as an input at a predefined sequence of timestamps; training, a plurality of simulation models for each equipment instance to obtain a function (f); processing, the external input parameters (e) to obtain a fixed-dimensional vector and passed as an input to obtain an vector (i); generating, a modified (i) from the output vector (i) based on a domain constraint value; computing, a reward (r) based on (i) the function (f), (ii) the modified (i), (iii) the external input parameters (e), and (iv) a reward function (R); and iteratively performing the steps of processing, generating, and computing reward (r) for a series of subsequent equipment instances after expiry of the predefined sequence of timestamps associated with a first equipment instance.

System and method for operation optimization of an equipment

An apparatus and a method for continuous solvothermal synthesis of nanoparticles, are provided. The apparatus includes an inlet section, a reactor section, a flexible quenching unit, and an outlet section. The inlet section separately receives reactants including the solvent and a precursor solution that are allowed to flow into the reactor section. The reactor section includes multiple spiral turns such that each of the spiral turns includes a helical channel followed by a counter-helical channel for enabling mixing of the reactants to cause solvothermal reactions between them. The counter-helical channel changes the direction of flow of reactants upon flow of said reactants from the helical channel to the counter-helical channel. The flexible quenching section enclosing a portion of the reactor section quenches a slurry formed as a result of the solvothermal reactions, wherein the slurry includes the nanoparticles of targeted characteristics. The outlet section facilitates withdrawal of the slurry.

Apparatus and method for continuous solvothermal synthesis of nanoparticles

This disclosure relates generally to phase separation, and more particularly, to a apparatus and a method for phase separation. In one example, the apparatus includes a spiral shaped body, split outlets and an adjustable splitter. The spiral shaped body includes an inlet portion to receive a mixture of phases associated with distinct effective masses, an outlet portion, and multiple helical turns stacked between the inlet and outlet portion. A portion of helical turns are twisted to form a twisted portion having opposite walls of a preceding helical turn turned relative to one another in opposite directions. The split outlets are configured at walls of the preceding helical turn to withdraw the phases based on an effective mass of said phases. The adjustable splitter is movably configured at least a portion of a cross section of the spiral shaped body to facilitate separate withdrawal of the one or more phases of the mixture.

Phase separation apparatus and method

This disclosure relates generally to mixing and separating phases of a mixture, and, more particularly, to an integrated apparatus for mixing and separating immiscible fluid phases and method therefor. The apparatus includes an inlet section, a mixing section, a separating section, and an outlet section. The mixing section includes multiple spiral turns for separately introducing the fluid phases of different specific gravity into the mixing section. Each of the spiral turns includes a helical channel followed by a counter-helical channel for enabling mixing of fluid phases. The counter-helical channel changes the direction of flow of fluid phases upon flow of said fluid phases from the helical channel to the counter-helical channel. The separating section extends from the mixing section separates the fluid phases based on specific gravity difference of fluid phases. The outlet section facilitates in separate withdrawal of fluid phases based on the specific gravity of said fluid phases.

Integrated apparatus for mixing and separating fluid phases and method therefor

A system and method to detect an event by analyzing sound signals received from a plurality of configured sensors. The sensors can be fixed or mobile and sensor activity is tracked in a sensor map. The frame analyzer of the system compares sound signals received from the sensors and applies knowledge data to determine if any deviation observed can be determined to be an uncharacteristic event. A rule data set comprising priority data, type of event, location is applied to the output of the frame analyzer to determine if the uncharacteristic sound observed is an event. On detection of an event, alerts are issued to appropriate authority. Further, sound frame and contextual data associated with the event are stored to serve as continuous learning for the system.

System and method for sound based surveillance

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Pune, India

Sivakumar Subramanian