Abstract: Methods, systems, and devices for wireless communications are described in which repetitions of communications may be configured for multi-transport block (TB) communications. A UE may determine that an acknowledgment of one or more initial repetitions of one or more TBs is received, and may cancel one or more subsequent repetitions of the acknowledged TB(s). The acknowledgment of the one or more initial repetitions may be provided by a base station in a new resource grant that provides an implicit acknowledgment of one or more TBs. In cases where multiple different TBs may be associated with the prior resource grant, the UE can determine to drop one or more repetitions after an implicit acknowledgment of a TB based on whether the resource grants are for a single TB or are for multiple TBs.

Abstract: An apparatus for wireless communications includes a processor, and a memory coupled with the processor and storing instructions operable, when executed by the processor, to cause the apparatus to output a pre-configured uplink resource (PUR) configuration information comprising a least significant bit (LSB) associated with a hyper system frame number (H-SFN). Execution of the instructions further cause the apparatus to obtain, from a user equipment (UE) at a PUR start time, a first message on a PUR associated with the PUR configuration information, the PUR start time associated with the H-SFN corresponding to the LSB.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may start a timer after a repetition of a communication, where calculation of a length of the timer includes an offset that corresponds to a propagation delay between the UE and a base station via a non-terrestrial network (NTN) entity. The UE may start a discontinuous reception (DRX) retransmission timer after expiration of the timer. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may determine a position (e.g., a global navigation satellite system (GNSS)) position of the UE based on a relative position of the UE to another UE. For example, a first UE may determine (e.g., calculate, receive) a relative position of the first UE to a second UE that is selected from a set of UEs including the first UE and the second UE to perform a position acquisition procedure to determine a position of the second UE. The first UE may determine (e.g., calculate, receive) its position based on the relative position of the first UE to the second UE and the position of the second UE and may reset a timer that indicates for the first UE to perform a position acquisition procedure upon expiration of the timer.

Abstract: Systems and methods for presenting a personalized value added offer during an advanced verification process are provided. An access control server may receive an enrollment verification request comprising data relating to an account holder. The server may determine an enrollment status of the account holder and determine a value added offer based on the account holder. The server may display an advanced verification interface for user input. The advanced verification interface may include the value added offer and/or a security credential prompt. The server may personalize the advanced verification interface and/or the value added offer based on monitoring the system and compiling historical transaction data.

Abstract: Systems and methods for presenting a personalized value added offer during an advanced verification process are provided. An access control server may receive an enrollment verification request comprising data relating to an account holder. The server may determine an enrollment status of the account holder and determine a value added offer based on the account holder. The server may display an advanced verification interface for user input. The advanced verification interface may include the value added offer and/or a security credential prompt. The server may personalize the advanced verification interface and/or the value added offer based on monitoring the system and compiling historical transaction data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for presenting a personalized value added offer during an advanced verification process are provided. An access control server may receive an enrollment verification request comprising data relating to an account holder. The server may determine an enrollment status of the account holder and determine a value added offer based on the account holder. The server may display an advanced verification interface for user input. The advanced verification interface may include the value added offer and/or a security credential prompt. The server may personalize the advanced verification interface and/or the value added offer based on monitoring the system and compiling historical transaction data.

Abstract: Systems and methods for presenting a personalized value added offer during an advanced verification process are provided. An access control server may receive an enrollment verification request comprising data relating to an account holder. The server may determine an enrollment status of the account holder and determine a value added offer based on the account holder. The server may display an advanced verification interface for user input. The advanced verification interface may include the value added offer and/or a security credential prompt. The server may personalize the advanced verification interface and/or the value added offer based on monitoring the system and compiling historical transaction data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This disclosure relates generally to Error! Reference source not found., and more particularly 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for presenting a personalized value added offer during an advanced verification process are provided. An access control server may receive an enrollment verification request comprising data relating to an account holder. The server may determine an enrollment status of the account holder and determine a value added offer based on the account holder. The server may display an advanced verification interface for user input. The advanced verification interface may include the value added offer and/or a security credential prompt. The server may personalize the advanced verification interface and/or the value added offer based on monitoring the system and compiling historical transaction data.

Abstract: A design optimization system (100) 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.