Abstract: Techniques for asymmetric dynamic spectrum sharing are discussed herein. A first portion of spectrum can share spectrum between Long Term Evolution (LTE) and New Radio (NR) radio access technologies (RATs). A second portion of spectrum can be allocated to a particular RAT without sharing. Thus, control signals associated with both RATs can be associated with the shared portion. However, for the portion not shared, control signals for the particular RAT (e.g., NR) can be used without the control signals from the other RAT (e.g., LTE), thereby increasing capacity in the portion not shared.

Abstract: System configuration data characterizing a configuration of a fueling station system that includes a fueling station controller and an electronic fueling station component, each located at a fueling station, can be received. Component configuration data characterizing a configuration of the electronic fueling station component can be received. A query can be determined based on the received component configuration data and the received system configuration data. The query can be provided to a remote database, and the remote database can be configured to determine, based on the received query, operation data characterizing data required to operate the fueling station system. The operation data can be received from the remote database. The fueling station controller and the electronic fueling station component can be configured to operate based on the received operation data and the received system configuration data. Related apparatus, systems, methods, techniques, and articles are also described.

Abstract: A guided robotic system is disclosed. The guided robotic system includes a magnetic resonance imaging apparatus for real-time imaging of a subject, a computer system for analyzing images in real-time, and a robotic system for guiding a robotic arm based on real-time analysis of the images. A method of using a guided robotic system is also disclosed. The method includes acquiring live magnetic resonance images of a subject, analyzing the live magnetic resonance images to continuously identify a target portion of the subject, guiding a robotic arm towards an identified target portion of the subject based on the live magnetic resonance images, and performing a procedure at the target portion of the subject. The non-limiting procedures using the guided robotic system may include, for example, biopsy, stent insertion.

Abstract: The invention discloses systems (100) and methods (200, 300) for reducing the effect of even-order harmonics in supply voltage on the DC side components in AC-DC converters having any kind of controlled power electronic switches or their combinations. The method involves modifying the time of firing the various switches (112, 114) through a control logic arrives at through either measuring or estimating the DC bus voltage or the input AC voltage. The proposed control methods are useful in ASDs where full bridge configuration is used for AC to DC conversion. The proposed control may also be used in ASDs where a half bridge rectifier system is used. The proposed method reduces the stress on the DC bus capacitor and increases the lifetime of the capacitor. It further reduces the peak current through the device, which reduces stress on the rectifier components. It also reduces the Total Harmonic Distortion (THDi) of the line current.

Abstract: Software architectures relating to machine learning (e.g., relating to classifying sequential text data. Unlabeled sequential text data may be produced by a variety of sources such as text messages, email messages, message chats, social media applications, and web pages. Classifying such data may be difficult due to the freeform and unlabeled nature of text data from these sources. Thus, techniques for training a machine learning algorithm to classify unlabeled text data in freeform format. Training is based on generation of labelling functions from lexical databases, applying the labelling functions to unlabeled text data in an unsupervised manner, and generating trained classifiers that accurately classify the unlabeled text data. The trained classifiers may then be implemented classify text data accessed from the variety of sources. The present techniques provide high-quality and efficient labeling of unlabeled text data in freeform formats.

Abstract: Aspects of a storage device are provided that allow a controller to leverage cache to minimize occurrence of HMB address overlaps between different HMB requests. The storage device may include a cache and a controller coupled to the cache. The controller may store in the cache, in response to a HMB read request, first data from a HMB at a first HMB address. The controller may also store in the cache, in response to an HMB write request, second data from the HMB at a second HMB address. The controller may refrain from processing subsequent HMB requests in response to an overlap of the first HMB address with an address range including the second HMB address, and the controller may resume processing the subsequent HMB requests after the first data is stored. As a result, turnaround time delays for HMB requests may be reduced and performance may be improved.

Abstract: Methods, machine readable media and systems for performing side channel analysis are described. In one embodiment, a method can determine, from a gate level representation of a circuit in a layout on a die of an IC, a first set of paths through the circuit that process security related data during operation of the circuit, the circuit including a second set of paths that do not process security related data; and the method can further determine, in a simulation of power consumption in the first set of paths but not the second set of paths, power consumption values in the first set of paths to determine potential security leakage of the security related data in the circuit. The method can further determine, from the power consumption values, positions in the layout for inserting virtual probes on the die for use in measuring security metrics that indicate potential leakage of the security related data. The insertion of the virtual probes is relative to the actual simulated layout of the die.

Abstract: State of art techniques mostly rely of computationally intensive, time consuming Neural Networks. Embodiments provide a method and system for identification and classification of different grain and adulterant types for grain grading analysis. The method analyzes input image of grain sample of elements to determine morphological features of elements, using dynamically determined calibration factor from reference object in the image. Variation in perimeter of elements is used to perform classification of elements into target grain size, low size adulterants and higher size adulterants. The aspect ratio of target grain determines grain variety and adulterants determine adulteration percentage. Elements are classified into grain colored and non-grain colored adulterants. Grain colored adulterants are further classified as Grain Like Impurities and non-GLI, using predefined ranges of standard deviation of perimeter metric.

Abstract: Monitoring of animals in a herd has various challenges. A method and a system for monitoring and measuring the behavior of a plurality of animals in a herd chamber is provided. The disclosure provides a method to develop a model to identify the animal interactions between a given set of herds of two or more animals. The system uses image, RFID sensors, animal phenotyping information such as species, breed, age and reproduction cycle information to generate an animal profile. This profile is used to quantify the interaction into an aggression score to the animals in the given herd. The aggression score over a given duration can help herd manager to put the animals with similar aggression score together. This will also help analyze the temporal aspects of the aggression score for a given animal and take preventive measures.

Abstract: A computer-implemented method includes obtaining a plurality of textual records divided into clusters and a residual set of the textual records, where a machine learning (ML) clustering model has divided the plurality of textual records into the clusters based on a similarity metric. The method also includes receiving, from a client device, a particular textual record representing a query and determining, by way of the ML clustering model and based on the similarity metric, that the particular textual record does not fit into any of the clusters. The method additionally includes, in response to determining that the particular textual record does not fit into any of the clusters, adding the particular textual record to the residual set of the textual records. The method can additionally include identifying, by way of the ML clustering model, that the residual set of the textual records contains a further cluster.

Abstract: According to one embodiment, a method, computer system, and computer program product for modulating external sounds to reflect the acoustic effects of virtual objects in a mixed-reality environment is provided. The present invention may include creating a knowledge corpus, recording a sound effect occurring externally to a mixed-reality environment experienced by a user operating the mixed-reality device; identifying one or more objects within the mixed-reality environment, including at least one virtual object; modulating the sound effect based on the knowledge corpus to simulate one or more acoustic effects of the one or more objects within the MR environment; and playing the modulated sound effect to the user.

Abstract: A data storage device and method for efficient image searching are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to store a plurality of images and a plurality of keys in the memory, wherein each key of the plurality of keys is generated from a respective image of the plurality of images; receive, from a host, a key generated from a target image desired by the host; and return, to the host, an image from the stored plurality of images that is associated with a key that matches the key received from the host. Other embodiments are provided.

Abstract: The present disclosure relates to a drive system for a blowout preventer (BOP). The drive system includes a first pseudo direct drive (PDD) motor assembly having a first PDD motor and a second PDD motor assembly having a second PDD motor. The first PDD motor is configured to engage with a first shaft coupled to a first ram of the BOP and the second PDD motor is configured to engage with a second shaft coupled to a second ram of the BOP. The first PDD motor and the second PDD motor are operable to induce translation of the first shaft and the second shaft, respectively, to drive the first ram and the second ram toward one another along a longitudinal axis to reach an engaged configuration in the BOP.

Abstract: Provided herein are the long-acting injection compositions of ?3 adrenoreceptor agonists like mirabegron or their pharmaceutically acceptable salts or esters thereof. The present invention also relates to methods for preparing long-acting injection compositions and methods of using the prepared dosage forms for the removal of undesirable body fat for the treatment of obesity, metabolic diseases, and other diseases as described herein. The long-acting injection compositions as per the present invention have desirable pharmaceutical technical and clinical attributes.

Abstract: Systems and methods for data management using machine learning and artificial intelligence techniques related to topic modeling on text comments are described. The text comments may correspond to a particular transaction conducted by a user. Machine learning text analysis is performed on the text comment to determine one or more topics associated with the text comment. The topic with the highest correlation to the text comment is assigned to the transaction claim. Based on the topic assigned to the transaction claim, various actions may be performed, including remedial actions on a user account. These techniques may be applicable to chargeback fraud, in some embodiments.

Abstract: A UE may calculate an allocation of a transmission power for a first uplink transmission on a first uplink channel and at least one second uplink transmission on at least one second uplink channel, the transmission power being allocated in each symbol of a plurality of symbols in a slot. The UE may detect a transmission power change in the allocation of the transmission power in the slot for at least one of the first uplink transmission or the at least one second uplink transmission. The UE may determine whether to adjust the allocation of the transmission power for the at least one of the first uplink transmission or the at least one second uplink transmission to eliminate the transmission power change in the slot for the at least one of the first uplink transmission or the at least one second uplink transmission.

Abstract: A method and system for reliability reporting for electrical hardware can involve analyzing stress data referenced to a predicted reliability of electrical hardware, the stress data including real-time stress information related to the electrical hardware. Reliability data associated with the electrical hardware based on the real-time information and the predicted reliability of the electrical hardware can be calculated. The reliability data can be presented in a graphical user interface that displays indicators of the reliability data including runtime data associated with the electrical hardware.

Abstract: A computer system and method may be used to generate a product catalog from one or more websites. One or more product pages on the websites may be identified and parsed. Attribute information may be identified in each page. A learning engine may be utilized to predict at least one attribute value. The attribute information and the predicted attribute value may be stored in a database.

Abstract: A storage system and method for multiprotocol handling are provided. In one embodiment, a computing device is provided comprising a plurality of communication channels configured to communicate with a storage system, wherein a first communication channel has a faster data transfer speed than a second communication channel. The computing device also comprises a processor configured to determine a priority level of a command; send the command with an indication of its priority level to the storage system; in response to the command being a high-priority command, use the first communication channel for transferring data for the command; and in response to the command being a low-priority command, use the second communication channel for transferring data for the command. Other embodiments are provided.