Abstract:
Provided is a neural network computing system that includes: a processor comprising a plurality of computing devices, a memory storing at least one instruction related to execution of a neural network model, a memory controller; and a system bus. The processor is configured to execute the at least one instruction to: determine a normalized target performance of the neural network model, determine a normalized target performance of each of the plurality of computing devices, determine a normalized target performance of the memory controller and the system bus, determine an operating frequency for each of a plurality of hardware devices based on the determined normalized target performance(s), and execute the neural network model by operating the plurality of hardware devices based on the determined operating frequency for each of the plurality of hardware devices.
Abstract:
Probe card transfer units and probe card management apparatuses including the same may be provided. The transfer unit includes a hand part including grippers holding a package and a moving part moving the hand part. Each of the grippers includes at least one locking pin protruding from a holding bar, which extends in a direction perpendicular to the holding bar, to securely hold the package.
Abstract:
Provided is an electronic device. The electronic device may include: a housing including a front plate, a rear plate facing away from the front plate, and a side member surrounding a first space between the front plate and the rear plate; a display panel exposed to an exterior of the electronic device through the front plate and configured to detect a pen input using a magnetic field; a speaker structure disposed between the display panel and the rear plate, and including a first surface facing the display panel, a second surface facing in a direction opposite the display panel, a side surface surrounding a second space between the first surface and the second surface, and a yoke facing the first surface; and a first shield structure made of a ferromagnetic material and disposed on the first surface.
Abstract:
An electronic device and a noise control method thereof are provided. The electronic device includes a cable having a first layer forming a first power line and a second layer forming a second power line. The first and second layers are arranged in a vertical stack structure. The cable cancels a magnetic field generated by a current in charging and discharging a battery cell of the electronic device, and removes a noise due to a magnetic field generated from a coil-contained component of the electronic device. Other various embodiments are possible.
Abstract:
An ultrasonic imaging apparatus includes: an ultrasound probe configured to transmit ultrasonic waves to a target region of an object in a plurality of directions, and to receive vibration waves generated from the object; and an image processor configured to generate image signals in the plurality of directions based on the vibration waves generated according to transmission of the ultrasonic waves in the plurality of directions, and to combine the image signals in the plurality of directions, wherein the ultrasound probe includes ultrasound elements configured to respectively generate ultrasonic waves of different frequencies, the ultrasonic waves intersecting each other in the target region of the object.
Abstract:
A neural network computing system includes a processor including heterogeneous computing devices configured to execute a neural network model; a memory configured to buffer input data and output data of the neural network model; a memory controller configured to control data input and data output of the memory; and a system bus configured to support communication between the processor and the memory controller. The processor determines a target execution time for each node included in the neural network model based on a target end-to-end execution time of the neural network model; controls operating frequencies of hardware devices including the heterogeneous computing devices, the memory controller, and the system bus based on a target computing device for execution of each node, an amount of work for each node, and the target execution time for each node, and executes the neural network model by operating at the operating frequencies.
Abstract:
Disclosed herein are an ultrasound imaging apparatus and a method for controlling the same. An occluded region generated in a 2D image may be removed by performing frame interpolation on a surface region of an object by extracting the surface region of the object from 3D ultrasonic volume data and calculating a motion vector in the extracted surface region, and an amount of calculation may be reduced by calculating a motion vector of the surface region in 3D volume data. The ultrasound imaging apparatus includes a volume data generator configured to acquire volume data which relates to the object, a surface region extractor configured to extract the surface region of the object based on the acquired volume data, and a frame interpolator configured to perform frame interpolation on the extracted surface region of the object.
Abstract:
An ultrasonic probe includes an ultrasonic array including ultrasonic elements configured to receive ultrasonic waves that are generated from target regions according to interference between the ultrasonic waves of different frequencies which are transmitted to same target regions; and a support frame on which the ultrasonic elements are arranged.
Abstract:
The present disclosure provides an ultrasound imaging apparatus. The ultrasound imaging apparatus includes an ultrasonic probe for transmitting an ultrasound signal toward an object, receiving an echo ultrasound signal reflected from the object, and transforming the echo ultrasound signal to an electric signal; a beamformer for beamforming and outputting the electric signal; an image reconstruction unit for generating a reconstructed image by applying a Point Spread Function (PSF) to an ultrasonic image corresponding to the output signal; and an image post-processor for performing filtering to emphasize a peak point of the reconstructed image. The use of a filter to emphasize a peak point may facilitate an accurate setting of a phase parameter to be used in estimation of a PSF. Accordingly, an almost ideal PSF may be estimated, image reconstruction is performed using the estimated PSF, and thus a high resolution image may be obtained.