Tata Consultancy Services Limited

Advinus Therapeutics Private Limited

Umesh Singh

Amarendra Kumar Singh

Anand Sivasubramaniam

Harshad Girish Bhagwat

Rajesh Jayaprakash

Purushottham Gautham Basavarsu

Sankara Narayanan D

Arun Varghese

Robert Zahler

Beena Rai

Debnath Bhuniya

Dinesh Barawkar

Yogesh Waman

Kasim A Mookhtiar

Deepak Shyamsunder Jain

Shankar Balajirao Kausley

Santosh Vasant Daware

Dharmendr Kumar

Chetan Premkumar Malhotra

Anish Bandyopadhyay

Pallavi Bandi

Shally Gupta

Robindro Sarangthem

Mahesh Thakkar

Laxmikant Datrange

Amit Bhowmik

Satish Patil

Atul Hazare

Rajendra Kharul

Tanushree Bende

Jignesh Doshi

Rinu Chako

Rohan Amarnath

Dharmendra Kumar

Amarendra Singh

Amarendra K Singh

The present disclosure addresses the technical problem of prediction of a preheat refractory temperature profile of a ladle furnace. Operational temperature of the ladle furnace, stability of sensors and placement make sensors not feasible. Computational Fluid Dynamics (CFD) simulations require large computation time and cannot be used for runtime applications in plants. The method and system of the present disclosure uses CFD modeling to carry out parametric study to generate data which is further processed to train an Artificial Neural Network (ANN) model that serves as a prediction model for predicting the preheat refractory temperature profile for at least a portion of the side refractory and at least a portion of the bottom refractory layer separately for which a new set of input data is obtained. The trained prediction model of the present disclosure provides a quick runtime prediction in plants.

Prediction of preheat refractory temperature profile of a ladle furnace

This disclosure relates generally to method and system for designing the formulated products. Conventional techniques for designing the formulated products, meeting final functional properties, are limited. Further, understanding user requirements and active incorporation of the user requirements during design phase is quite challenging. The present disclosure herein provides method and system that solve the technical problem of extracting the functional requirement by establishing continuous conversation with the user. An optimal prediction function for each functional requirement is determined by using a plurality of prediction models. An optimization technique along with an objective function is employed to determine optimized solutions comprising list of ingredients, possible concentration level of each ingredient, the process parameters, and the operating parameters for obtaining the desired formulation based on the user requirement.

Method and system for designing formulated products

This disclosure relates generally to SYSTEM AND METHOD FOR DETERMINATION OF AIR ENTRAPMENT IN LADLES performing various refining operations at a secondary steel making stage of a ladle is challenging as it requires huge time and resources. The present subject matter discloses a technique for determination of air entrapment in a ladle. In an embodiment, method uses transient computational fluid dynamics modeling for simulating tapping process of liquid steel and tracking the interface with respect to time. By carrying out the parametric study for different geometrical and operational parameters, training and validation data is generated which is then used for training an artificial neural network model. The new ladle geometrical and operational input parameters for which output parameters are required are then used to predict the air entrapment.

System and method for determination of air entrapment in ladles

Disclosed is a system and method for optimizing cooling efficiency of a data center is disclosed. The system may comprise an importing module, a Computational fluid dynamics (CFD) modeling module, a scope determination module, a metrics computation module, an identification module and a recommendation module. The importing module may be configured to import data associated to the data center. The CFD modeling module may be configured to leverage an external CFD Analysis tool in order to develop a CFD model of the data center. The scope determination module may be configured to determine a scope for optimizing the cooling efficiency of the data center. The metrics computation module may be configured to compute metrics based upon the data. The identification module may be configured to identify inefficiency and a cause producing the inefficiency. The recommendation module may be configured to facilitate optimizing cooling efficiency of the data center.

System and method for optimizing cooling efficiency of a data center

Disclosed is a system for facilitating homogenized distribution of airflow, generated from one or more cooling units, in a data center. The virtual data center creation module for creating a virtual environment of the data center. The airflow channel determination module for dividing the architectural layout into one or more partitions to determine one or more airflow channels corresponding to each of the one or more partitions. The CRAC placement module for positioning the at least one cooling unit in an airflow channel, of the one or more airflow channels, in a manner such that the airflow moves in a streamline manner within the airflow channel. The vein determination module for determining position of each of a plurality of veins inside the airflow channel. The vein shape determination module for determining shape of each vein that facilitates the homogenized distribution of the airflow.

System and method for facilitating homogenized distribution of airflow in a data center

A method and system is provided for determining a viable containment design of a data center and systematic implementation of the determined containment design in the data center. Particularly, disclosed is a method and system for collecting data pertaining to the design and operational parameters of the data center; enabling various containment design options using CFD based methodology; and providing recommendations for a viable containment design and assisting systematic implementation of the recommendations of in the data center following an iterative procedure.

Method and system for determining and implementing a viable containment design of a data center

Disclosed is a system and method for facilitating optimizing cooling efficiency of a data center. The method may comprise receiving a layout of the data center. The method may comprise computing co-ordinates of each equipment of a plurality of equipments associated with the data center. Further, the method may comprise segregating the layout into a plurality of cells. The method may comprise capturing preliminary data associated with the data center. Further, the method may comprise determining a state value of the data center based upon the preliminary data. The method may comprise capturing CFD data and, selectively, thermal assessment data. Further, the method may comprise facilitating the optimization of the cooling efficiency of the data center by using an external analysis tool capable of performing Computational Fluid Dynamics (CFD) analysis or thermal assessment followed by the Computational Fluid Dynamics (CFD) analysis using the CFD data and the thermal assessment data.

System and method for facilitating optimization of cooling efficiency of a data center

A method and system is disclosed for maintaining Power Usage Effectiveness (PUE) of a new data center constant or within narrow range around efficient level during ramping up stage of the data center. The method comprises of capturing a plurality of design and operational parameters of the data center, computing an efficient design for the data center at full occupancy, and maintaining the Power Usage Effectiveness constant or within narrow range around efficient level at a current occupancy during a ramp up period of the data center.

Method for efficient designing and operating cooling infrastructure in a data center

A design optimization system () and a method for achieving design optimization for cooling are described herein. According to an implementation, the method includes obtaining an inlet value of at least one flow parameter at a small geometric length scale and determining an outlet value of the at least one flow parameter at the small geometric length scale based on the inlet value. Further, a flow behavior is modeled based on the inlet and outlet values of the at least one flow parameter, and based on the modeled flow behavior an optimized design for cooling is ascertained.

Optimization for cooling

The present disclosure relates to substituted amide compounds that are inhibitors of Fatty Acid Amide Hydrolase (FAAH), their stereoisomers, tautomers, prodrugs, polymorphs, solvates, pharmaceutically acceptable salts, and pharmaceutical compositions containing them. These compounds are useful in the treatment, prevention, prophylaxis, management, or adjunct treatment of all medical conditions related to inhibition of Fatty Acid Amide Hydrolase (FAAH), such as pain including acute and post operative pain, chronic pain, cancer pain, cancer chemotherapy induced pain, neuropathic pain, nociceptive pain, inflammatory pain, back pain, pain due to disease of various origin such as: diabetic neuropathy, neurotropic viral disease including human immunodeficient virus (HIV), herpes zoster such as post herpetic neuralgia; polyneuropathy, neurotoxicity, mechanical nerve injury, carpal tunnel syndrome, immunologic mechanisms like multiple sclerosis; sleep disorders, anxiety and depression disorders, inflammatory disorders, weight and eating disorders, Parkinson's disease, addiction, spasticity, hypertension or other disorders. The disclosure also relates to the process of preparation of the amide compounds.  The present disclosure also relates to methods for the preparation of such compounds, and to pharmaceutical compositions containing them.

Amide compounds, compositions and applications thereof

The present invention relates to substituted fused tricyclic compounds of formula (I) or (Ia), their tautomers, polymorphs, stereoisomers, prodrugs, solvates, co-crystals, pharmaceutically acceptable salts, pharmaceutical compositions containing them and methods of treating conditions and diseases that are mediated by JAK activity. The compounds of the present invention are useful in the treatment, prevention or suppression of diseases and disorders mediated by JAK activity. Such conditions include, but not limited to, arthritis, Alzheimer's disease, autoimmune thyroid disorders, cancer, diabetes, leukemia, T-cell prolymphocytic leukemia, lymphoma, myleoproliferation disorders, lupus, multiple myeloma, multiple sclerosis, osteoarthritis, sepsis, psoriatic arthritis, prostate cancer, T-cell autoimmune disease, inflammatory diseases, chronic and acute allograft transplant rejection, bone marrow transplant, stroke, asthma, chronic obstructive pulmonary disease, allergy, bronchitis, viral diseases, or Type I diabetes, complications from diabetes, rheumatoid arthritis, asthma, Crohn's disease, dry eye, uveitis, inflammatory bowel disease, organ transplant rejection, psoriasis and ulcerative colitis. The present disclosure also relates to process for the preparation of such compounds, and to pharmaceutical compositions containing them. 

Substituted fused tricyclic compounds, compositions and medicinal applications thereof

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Pune, India

Umesh Singh