Abstract: Disclosed are an electronic device and a method of controlling the same. An electronic device according to an embodiment of the disclosure includes a camera, a memory configured to store at least one instruction, a display, and at least one processor configured to execute the at least one instruction to acquire a label image of clothing through the camera, generate management information on the clothing using the acquired label image, and control the display to display the generated management information. The at least one processor identifies a plurality of clothing management symbols included in the label image, identifies a misrecognized symbol among the plurality of identified clothing management symbols based on a standard type and a management type of each of the plurality of identified clothing management symbols, and corrects the identified misrecognized symbol based on at least one of a standard type and a management type of another normally recognized symbol.

Abstract: A refrigerator and a controlling method thereof will be provided. The refrigerator includes a camera, memory stored with at least one instruction, and one or more processors configured to execute the at least one instruction, at least one instruction from among the instructions that, when executed by the at least one processor individually or collectively, causes the refrigerator to control the camera to capture an object based on the object being entered in or taken from the refrigerator, provide, based on obtaining a capture image about the object entered in or taken from the refrigerator, a guide for obtaining an additional image, obtain, based on detecting a signal for capturing the object corresponding to the provided guide, the additional image through the camera and store the capture image and the additional image as data on the object being entered or taken.

Abstract: A refrigerator includes: a body including a storage chamber; a door including a door bin; a camera, arrangeable in the body, to photograph an inside of the body and an inside of the door; a memory; and a processor which obtains an image of at least a portion of the inside of the body and at least a portion of the door that is captured through the camera based on a trigger signal, detects a food object in the image, tracks the food object and identifies whether the food object is put in or taken out of the refrigerator, acquires feature information corresponding to the food object by inputting the image to a trained neural network model based on the food object being identified as being put in, and matches the image and the acquired feature information and stores the image and the acquired feature information in a food database.

Abstract: Systems and methods for enterprise type pretrained models for voice interfaces include the generation and validation of enterprise type pretrained models utilizing input associated with the enterprise type at issue. Once generated and validated, when a user command is received, the speech processing system may check to determine if a customized model is available, and if not, may query the enterprise type model to provide a response to the user command.

Abstract: A computer-implemented method for generating a magnetic resonance (MR) image of an object includes applying, via a processing system comprising one or more processors, a Hadamard encoded radiofrequency (RF) excitation pulse sequence to adjacent slices within a magnetic resonance imaging (MRI) scanner to generate Hadamard encoded adjacent slices; multiplexing, via the processing system, the Hadamard encoded adjacent slices with secondary RF excitation pulses to generate a composite RF pulse; and generating, via the processing system, the MR image of the object using the composite RF pulse.

Abstract: A refrigerator and a control method therefor. The refrigerator includes a main body including a storage chamber, a door, a camera located in at least one of the body and the door to capture at least one of the storage chamber and the pantry, an output portion, a memory, and a processor that, based on introducing of an item to or withdrawing of the item from one of the storage chamber and the pantry is detected, controls the output portion to provide first feedback, obtains information about a storage location of the item that is detected, through the image captured by the camera, controls the output portion to provide second feedback including information about the storage location of the item, obtains information about the item that is detected, and controls the output portion to provide third feedback including the information about the item that is detected.

Abstract: Disclosed are an electronic device and a method of controlling the same. An electronic device according to an embodiment of the disclosure includes a camera, a memory configured to store at least one instruction, a display, and at least one processor configured to execute the at least one instruction to acquire a label image of clothing through the camera, generate management information on the clothing using the acquired label image, and control the display to display the generated management information. The at least one processor identifies a plurality of clothing management symbols included in the label image, identifies a misrecognized symbol among the plurality of identified clothing management symbols based on a standard type and a management type of each of the plurality of identified clothing management symbols, and corrects the identified misrecognized symbol based on at least one of a standard type and a management type of another normally recognized symbol.

Abstract: Systems and methods for enterprise type pretrained models for voice interfaces include the generation and validation of enterprise type pretrained models utilizing input associated with the enterprise type at issue. Once generated and validated, when a user command is received, the speech processing system may check to determine if a customized model is available, and if not, may query the enterprise type model to provide a response to the user command.

Abstract: Techniques are provided herein for tracking activation events associated with a given serial number and using the data from the activation events to autonomously determine whether the serial number has been leaked. Numerous different characteristic parameters of activation events collected over a given time period for a serial number can be tracked and stored in a database. A plurality of different input variables can be generated based on the characteristic parameter data, which create the inputs that are used by a trained neural network to determine the leakage probability. If the leakage probability is determined to be above a certain threshold, an alert of some kind can be generated to indicate that the serial number has been leaked.

Abstract: A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

Abstract: The disclosure relates to a system and a method to eliminate noise from imaging data The disclosure provides system comprising a plurality of coils configured to generate one or more data sets and a processor may be configured to receive the data sets from the plurality of coils. The processor may determine an interference removal parameter from the data sets received from the plurality of coils. The interference removal parameter may remove noise from the one or more data sets.

Abstract: A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

Abstract: Techniques are provided herein for tracking activation events associated with a given serial number and using the data from the activation events to autonomously determine whether the serial number has been leaked. Numerous different characteristic parameters of activation events collected over a given time period for a serial number can be tracked and stored in a database. A plurality of different input variables can be generated based on the characteristic parameter data, which create the inputs that are used by a trained neural network to determine the leakage probability. If the leakage probability is determined to be above a certain threshold, an alert of some kind can be generated to indicate that the serial number has been leaked.

Abstract: Electrical machine arrangements have advantages with regard to providing local electrical power and starting. Embedding such electrical machine arrangements in machinery such as gas turbine engines is advantageous in removing mechanical linkages and reducing aerodynamic drag. However, the components utilized must be able to withstand harsh environmental conditions and therefore the DC link capacitor used for smoothing of voltage fluctuations are limited to relatively low capacitance densities. Low density DC link capacitors require large sizes which render electrical machines less acceptable for embedded usage. By providing offset of electrical current in inductance elements such as stator windings and stator coils of electrical machines in dead periods of the cycle a reduction in DC link capacitor requirements is achieved reducing the size, weight and complexity of installing electrical machines in gas turbine engines.

Abstract: Electrical machine arrangements have advantages with regard to providing local electrical power and starting. Embedding such electrical machine arrangements in machinery such as gas turbine engines is advantageous in removing mechanical linkages and reducing aerodynamic drag. However, the components utilised must be able to withstand harsh environmental conditions and therefore the DC link capacitor used for smoothing of voltage fluctuations are limited to relatively low capacitance densities. Low density DC link capacitors require large sizes which render electrical machines less acceptable for embedded usage. By providing offset of electrical current in inductance elements such as stator windings and stator coils of electrical machines in dead periods of the cycle a reduction in DC link capacitor requirements is achieved reducing the size, weight and complexity of installing electrical machines in gas turbine engines.