Abstract: A system and method for prediction of failures and optimization, that can provide solution available for unsupervised learning models based on limited data that can predict different types of failure and pre-failure instances. The solution provides improvement upon previous methods of labelling by marking certain days data ahead of failure as belonging to failure data which will result in reduction of noisy data and improves good working condition data. The present invention helps with improved data quality due to labelling as the proposed method models complex distributions of feature vectors accurately and are better at finding deviations from normal data distribution which is used for detecting failures. The novel solution help to analyse and categorise the type of failures for PC Pumps currently deployed in CBM Fields for which failure days in advance can be predicted.

Abstract: A system and method for extracting a full range hyperspectral data from one or more RGB images. The method encompasses pre-processing, the one or more RGB images. Further the method encompasses estimating, an illumination component associated with each pre-processed RGB image. The method thereafter comprises removing, the illumination component from the each pre-processed RGB image. Further the method encompasses tracking, a trajectory of pixel(s) over frame(s) associated with the each pre-processed RGB image. The method then leads to identifying, a position of the pixel(s) in one or more adjacent frames of the frame(s) based on a patch defined around said one or more pixels. Thereafter the method encompasses extracting, the full range hyperspectral data from the each pre-processed RGB image based on at least one of the removal of the illumination component, the trajectory of the pixel(s) and the position of the pixel(s).

Abstract: Present disclosure generally relates to data analytics in wireless networks, more particularly relates to systems and methods for optimizing supply demand in telecommunication network. System may prepare data for optimization using raw telecom data. Further, the system may build quadratic optimization objective function by reading index table (cell—grid information). System may build quadratic program inequality constraints, and prepare right hand side of constraints for all mentioned constraints maintaining the index. Thereafter, the system may execute optimizer and find the optimal solution ensuring hyper-parameter tuning, and calculate focal point of each cell using cell-grid allocation vector. The system may read the optimal solution from optimization process, and estimate electronic tilt values (i.e., Remote Electrical Tilt (RET)) ensuring the business guidelines. Thereafter, the system may use line of sight method to get inclination value (optimal tilt value) of cell from the focal point on the ground.

Abstract: Disclosed are techniques for integrated circuits (ICs). In an aspect, an IC package includes a package substrate having an upper surface, a lower surface, a first side, and a second side perpendicular to the first side. The package substrate includes a metallization structure. The IC package further includes an IC die attached to the upper surface of the package substrate; first package bumps on the lower surface of the package substrate; and second package bumps on the lower surface of the package substrate. The first package bumps are arranged adjacent to one another along a diagonal direction that is diagonal to the package substrate, and the second package bumps are arranged adjacent to one another along the diagonal direction.

Abstract: A compressor section for a gas turbine engine includes an inlet duct, a port plenum, and an impeller. The port plenum has a port inlet and a port outlet. The port inlet is in fluid communication with the inlet duct. The impeller includes a hub, a shroud, and an impeller blade. The impeller blade extends for a span that is 0% at the hub and 100% at a tip. The impeller blade has a partially swept leading edge and extends in a streamwise direction from the partially swept leading edge to a trailing edge. The partially swept leading edge of the impeller blade is in fluid communication with the inlet duct. The port outlet is defined through the shroud. The partially swept leading edge extends in the streamwise direction at the tip upstream of the port outlet for a distance.

Abstract: This present disclosure proposes a system and method for providing a 3D computer vision-assisted frictionless self-checkout experience in a traditional retail store by using two RGB-D camera sensors and a conveyer belt. The disclosure provides a self-checkout counter (106) that enables a customer (102) to go through a self-service checkout process by simply placing the collected products one by one on a conveyer belt. One vertical and another horizontal RGB-D sensor (108) mounted in a housing frame attached towards the end of the conveyer belt capture RGB and depth image of each product passing through the housing and pass it to a product recognition engine (216). The engine (216) identifies the unique product along with its volumetric attributes processing the RGB-D data that is further compared with a master product database and processed for invoicing.

Abstract: The present disclosure generally relates to handling data of non-linear, multi-variable complex systems. More particularly, the present disclosure relates to methods and systems for training machine learning-based computing devices to ensure adaptive sampling of highly complex data packets. The present invention provides a robust and effective solution to implement a complexity-based sampling methodology that trains the neural network in complex mapping regions, by iteratively sampling the DBMS function and training the neural network in complex regions. The system (110) for training the complex and non-linear neural network may be equipped with a Machine Learning (ML) Engine (214) to solve the problem efficiently.

Abstract: Diffusers are provided for gas turbine engines downstream of an impeller of a centrifugal compressor. The diffusers include a diffuser flowbody having an inner and outer peripheral portions, diffuser passages extending through the diffuser flowbody that include passage inlets and outlets formed in the inner and outer peripheral portions, respectively, and diffuser vanes contained in the diffuser flowbody and partitioning the diffuser passages. Each of the diffuser vanes include a first vane sidewall, a second vane sidewall opposite the first vane sidewall, a hub-side endwall, and a shroud-side endwall opposite the hub-side endwall. Each of the diffuser vanes have a thickness between the first sidewall and the second sidewall and a tapered cross-sectional profile portion that decreases from the shroud-side endwall to the hub-side endwall.

Abstract: A device includes a deck configured to receive a container and a clamping mechanism configured clamp the container to the deck and unclamp the container from the deck. The clamping mechanism has one or more first fingers and one or more second fingers. The one or more first fingers are actuatable between a first position to clamp the container to the deck, and a second position to unclamp the container from the deck. The one or more second fingers are actuatable between a third position to clamp the container to the deck, and a fourth position to unclamp the container from the deck. The device further includes a button to at least partially control an actuation of at least one of the one or more first fingers or the one or more second fingers, a lighting element configured to illuminate according to an operational status of the clamping mechanism.

Abstract: A gas turbine engine includes a rotatable component, and an engine casing disposed about the rotatable component. The engine casing includes a casing treatment having a plurality of grooves and a plurality of acoustic chambers. Each of the plurality of grooves is defined in the engine casing with a groove depth, and each of the plurality of acoustic chambers has an acoustic chamber depth based on the groove depth. Two of the plurality of grooves are associated with one of the plurality of acoustic chambers, one of the plurality of grooves is associated with a second one of the plurality of acoustic chambers, and the one of the plurality of acoustic chambers has an acoustic configuration that is different than the second one of the plurality of acoustic chambers.

Abstract: A gas turbine engine includes a rotatable component, and an engine casing disposed about the rotatable component. The engine casing includes a casing treatment having a plurality of grooves and a plurality of acoustic chambers. Each of the plurality of grooves is defined in the engine casing with a groove depth, and each of the plurality of acoustic chambers has an acoustic chamber depth based on the groove depth. Two of the plurality of grooves are associated with one of the plurality of acoustic chambers, one of the plurality of grooves is associated with a second one of the plurality of acoustic chambers, and the one of the plurality of acoustic chambers has an acoustic configuration that is different than the second one of the plurality of acoustic chambers.

Abstract: The present disclosure provides a robust and effective solution to an entity or an organization by enabling the entity to implement a system for 3D vision, and synthetic data generation of a retail product model. Further, the present disclosure aims at generating high-quality, photorealistic, large-scale domain-specific synthetic data. The system is equipped with synthetic simulation, digital twin creation, and synthetic data generation with automated annotations. Additionally, the system allows the training of artificial intelligence to reduce manual efforts and to facilitate the automation and personalization.

Abstract: The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for an efficient and adaptive disease prediction system as a part of an expert-based online AI symptom-checker. The system may diagnose a wide variety of diseases accurately in an under 3-minute chatbot based conversation. The system architecture comprises of state-based components namely dialogue, patient, utterance, disease and symptom state. The disease prediction module may use a complex knowledge graph coupled with the state information to predict disease scores, predict disease scores based on various factors such as symptom coverage, relative disease importance, diseases priors, risk factors, lab tests, body organs and body systems and further provide mechanisms to arrive at a convergence based on factors such as confidence scores, questions asked and the like.

Abstract: Present disclosure generally relates to location tracking and communication systems. More particularly, the present disclosure relates to systems and methods for predicting user location from radio data of telecommunication network. The system may utilize Global Positioning System (GPS) data along with Radio Frequency (RF) data obtained from interactions between the first computing device and network elements such as cells. The RF data along with the GPS data may be used for learned distance prediction models in AI engine. When the first computing device may be latched to a cell, the system via the first computing device can observe one or more neighbour cells. To estimate location of the user, predicted distances from cells and grids that can be served from each of cells may be used by system to estimate location of the user. System may use predicted distance from different cells to estimate the location of the user.

Abstract: The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for efficiently identifying from a medical domain a plurality of entities that may be designed and engineered for a diagnostic reasoning system or symptom checker. The identified plurality of entities forms nodes of a knowledge graph and may be interconnected to each other with edges representing finely curated weights. The curated weights may form a dynamic repository that can constantly evolves to best reflect the latest medical knowledge. Apart from diseases and symptoms, the system is also capable of extending and scaling to other dimensions of medical knowledge. The knowledge graph thus developed is fundamental to the entire diagnostic system and is used by various components of the diagnostic engine to power the AI-based reasoning.

Abstract: Present disclosure generally relates to computer-assisted medical diagnosis systems, particularly, to system and method for generating adaptive medical queries to determine disease symptoms of a user. System receives inputs from user, in response to queries corresponding to symptoms of disease. Further, system extracts contextual attributes corresponding to medical context, from inputs and identifies batch-wise candidate attributes from extracted contextual attributes, and sorts batch-wise candidate attributes corresponding to each of symptoms. Furthermore, system maps symptoms in sorted batch-wise candidate attributes to disease, by searching medical knowledge database, and calculates disease-symptom weighted score. Additionally, system filters symptoms based on age and gender of user, and sorts symptoms based on calculated disease-symptom weighed score and inter-dependency on other attributes.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for facilitating creation of a digital twin of a process unit which can perform constrained optimization of control parameters to minimize or maximize an objective function. The system can capture non-linearities of the industrial process while the current Industrial Process models try to approximate non-linear process using linear approximation, which are not as accurate as Neural Networks. The proposed system can further create an end-to-end differentiable digital twin model of a process unit, and uses gradient flows for optimization as compared to other digital twin models that are gradient-free.

Abstract: This present disclosure proposes a system and method for providing a 3D computer vision-assisted frictionless self-checkout experience in a traditional retail store by using two RGB-D camera sensors and a conveyer belt. The disclosure provides a self-checkout counter (106) that enables a customer (102) to go through a self-service checkout process by simply placing the collected products one by one on a conveyer belt. One vertical and another horizontal RGB-D sensor (108) mounted in a housing frame attached towards the end of the conveyer belt capture RGB and depth image of each product passing through the housing and pass it to a product recognition engine (216). The engine (216) identifies the unique product along with its volumetric attributes processing the RGB-D data that is further compared with a master product database and processed for invoicing.

Abstract: Disclosed are techniques for integrated circuits (ICs). In an aspect, an IC package includes a package substrate having an upper surface, a lower surface, a first side, and a second side perpendicular to the first side. The package substrate includes a metallization structure. The IC package further includes an IC die attached to the upper surface of the package substrate; first package bumps on the lower surface of the package substrate; and second package bumps on the lower surface of the package substrate. The first package bumps are arranged adjacent to one another along a diagonal direction that is diagonal to the package substrate, and the second package bumps are arranged adjacent to one another along the diagonal direction.

Abstract: The present invention provides a method and system for predicting tropospheric interference using a digital twin model for detecting tropospheric interference and suggesting actions for mitigating the effects of the tropospheric interference. The system (110) may include a machine learning engine (216) having a digital twin model to predict/score the likelihood of cell pairs having the tropospheric interference at a given point of time using cell configuration data, weather data, Hepburn data at that point of time by identifying cell pairs whose likelihood of interference is high. The system (110) is further configured to explore the effect of changing cell configuration parameters like remote electrical tilt and identify actions that can mitigate tropospheric interference with minimal impact on coverage.