Abstract: Uplink transmission performed by a UE is provided. The UE receives configured grant (CG) configurations for allocating a group of Physical Uplink Shared Channel (PUSCH) durations in a bandwidth part (BWP), each configured grant configuration having a priority level corresponding to the allocated PUSCH duration, wherein at least two of the PUSCH durations in the group overlap in a time domain; identifies a set of PUSCH durations for transmitting a medium access control (MAC) protocol data unit (PDU) generated from available data from the group of PUSCH durations; selects a PUSCH duration from the identified set of PUSCH durations as a prioritized PUSCH duration based on a comparison of the priority levels corresponding to the identified set of PUSCH durations; and transmits the MAC PDU, via the transceiver, on the prioritized PUSCH duration.

Abstract: A system comprises a controller, configured to receive at least one thermal control setting and a system temperature, and to perform a first thermal throttling operation according to at least one thermal control instruction; and an application, coupled to the controller, configured to receive the at least one thermal control setting and the system temperature from the controller, and to generate the at least one thermal control instruction according to the at least one thermal control setting and the system temperature.

Abstract: A method for quantizing an image includes obtaining M batches of images; creating histograms by training based on each of the M batches of images; merging the histograms for each of the batches of images into a merged histogram; obtaining a minimum value from all minimum values of the M merged histograms and a maximum value from all maximum values of the M merged histograms; defining ranges of new bins of a new histogram according to the obtained minimum value, the obtained maximum value, and the number of the new bins; and estimating a distribution of each of the new bins by adding up frequencies falling into the ranges of the new bins to create the new histogram. The amount of the images in each of the M batches of images is N, and each of N and M is an integer and equal to or larger than two.

Abstract: A method for focusing on an object to capture an image of that object is provided. The method includes obtaining the travel time between the point in time that an ultrasonic signal is sent and the point in time at which the reflected signal is received. The method also includes obtaining environment information of the electronic device based on location/position information. The method further includes determining local sound speed according to environment information and determining the distance to an object using the local sound speed and the travel time. In addition, the method can include focusing on the object according to the object distance.

Abstract: An electronic device and a method for setting a sensor are provided. The electronic device includes a sensor and a processor. The processor is coupled to the sensor and configured to calculate a plurality of groups of candidate sensor settings every calculation cycle, wherein each calculation cycle includes one or more frames, and each of the groups of candidate sensor settings corresponds to one respective frame of the calculation cycle. Every frame of the calculation cycle, the processor is further configured to determine a respective group of adoptable sensor settings for each frame of the calculation cycle according to the plurality of groups of candidate sensor settings, wherein the respective group of adoptable sensor settings is for provision to set a sensor.

Abstract: An electronic device and a method for setting a sensor are provided. The electronic device includes a sensor and a processor. The processor is coupled to the sensor and configured to calculate a plurality of groups of candidate sensor settings every calculation cycle, wherein each calculation cycle includes one or more frames, and each of the groups of candidate sensor settings corresponds to one respective frame of the calculation cycle. Every frame of the calculation cycle, the processor is further configured to determine a respective group of adoptable sensor settings for each frame of the calculation cycle according to the plurality of groups of candidate sensor settings, wherein the respective group of adoptable sensor settings is for provision to set a sensor.

Abstract: A method for focusing an object to capture an image thereof is provided. The method includes obtaining the travel time between the point in time that an ultrasonic signal is sent and the point in time at which the reflected signal are received. The method also includes obtaining environment information of the electronic device based on location/position information. The method further includes determining local sound speed according to environment information and determining the distance to an object using the local sound speed and the travel time. In addition, the method can include providing the object distance for focusing the object according to the object distance.

Abstract: A method of calibrating ultrasound velocity is provided, including receiving an ultrasound non-delayed data set; performing a beam-forming process on the ultrasound non-delayed data set with a plurality of velocities to generate a plurality of aperture images; performing a Mean Absolute Percentage Error (MAPE) process to obtain a velocity and two sub-aperture images corresponding to an MAPE value located within an MAPE range; finding a first sub-aperture and a second sub-aperture corresponding to the two sub-aperture images, generating a first aperture image and a second aperture image with corresponding velocity; performing the MAPE process on the first aperture image and the second aperture image to generate an image error corresponding figure having an error curve; finding a trend curve according to the error curve; and finding a lowest point of MAPE value on the trend curve and finding a velocity correspondingly to obtain the calibrated ultrasound velocity.

Abstract: A method of calibrating ultrasound velocity is provided, including receiving an ultrasound non-delayed data set; performing a beam-forming process on the ultrasound non-delayed data set with a plurality of velocities to generate a plurality of aperture images; performing an MAE (Mean Absolute Error) process to obtain a velocity and two sub-aperture images corresponding to an MAE value located within an MAE range; finding a first sub-aperture and a second sub-aperture corresponding to the two sub-aperture images, generating a first aperture image and a second aperture image with corresponding velocity; performing the MAE process on the first aperture image and the second aperture image to generate an image error corresponding figure having an error curve; finding a trend curve according to the error curve; and finding a lowest point of MAE value on the trend curve and finding a velocity correspondingly to obtain the calibrated ultrasound velocity.

Abstract: A method of compensating ultrasound image comprising demarcating a plurality of a main material regions of an ultrasound image; executing a full compensation process to generate a full compensation image according to a first attenuation curve of the main material region; generating a brightness comparison table including a plurality of brightness zones which are correspond to a plurality of brightness compensation values according to a plurality of first pixel brightness values of the ultrasound image and a plurality of second pixel brightness values of the full compensation image; executing a linear sum process to generate a compensation image including a second attenuation curve according to the brightness compensation values; generating a compensation curve according to the first and second attenuation curve; and executing space comparison process to the compensation image to generate a better compensation image according to the compensation curve.

Abstract: A method of compensating ultrasound image comprising demarcating a plurality of a main material regions of an ultrasound image; executing a full compensation process to generate a full compensation image according to a first attenuation curve of the main material region; generating a brightness comparison table including a plurality of brightness zones which are correspond to a plurality of brightness compensation values according to a plurality of first pixel brightness values of the ultrasound image and a plurality of second pixel brightness values of the full compensation image; executing a linear sum process to generate a compensation image including a second attenuation curve according to the brightness compensation values; generating a compensation curve according to the first and second attenuation curve; and executing space comparison process to the compensation image to generate a better compensation image according to the compensation curve.