Abstract:
The present disclosure relates to a method and apparatus for performing multiple wireless charging. A method or performing wireless charging according to an embodiment of the present disclosure may comprise: identifying one or more receiving coils subject to wireless charging; setting a plurality of transmission frequencies based on a plurality of receiving coils being identified; and transmitting a wireless power transmission signal to the plurality of receiving coils using a plurality of transmitting coils connected to one inverter. Herein, a wireless power transmission signal transmitted from each transmitting coil belonging to the plurality of transmitting coils may be generated by applying the plurality of transmission frequencies in a pre-configured order.
Abstract:
Disclosed are a memory interface circuit including an output impedance monitor, which is capable of monitoring and calibrating an output impedance of a driving circuit in real time, and a method of calibrating the output impedance. The memory interface circuit includes a control circuit that outputs a digital transmission signal, a driving circuit that outputs an output signal, based on the digital transmission signal, an output impedance monitor that outputs a pull-up monitoring signal or a pull-down monitoring signal, based on the digital transmission signal and the output signal, and an output impedance calibrator that outputs an impedance monitoring signal, based on the pull-up monitoring signal or the pull-down monitoring signal, and wherein the driving circuit calibrates output impedance based on the impedance monitoring signal.
Abstract:
A method for controlling a memory from which data is transferred to a neural network processor and an apparatus thereof are provided, the method including: generating prefetch information of data by using a blob descriptor and a reference prediction table after history information is input; reading the data in the memory based on the pre-fetch information and temporarily archiving read data in a prefetch buffer; and accessing next data in the memory based on the prefetch information and temporarily archiving the next data in the prefetch buffer after the data is transferred to the neural network from the prefetch buffer.
Abstract:
An embodiment of the present invention provides a quantization method for weights of a plurality of batch normalization layers, including: receiving a plurality of previously learned first weights of the plurality of batch normalization layers; obtaining first distribution information of the plurality of first weights; performing a first quantization on the plurality of first weights using the first distribution information to obtain a plurality of second weights; obtaining second distribution information of the plurality of second weights; and performing a second quantization on the plurality of second weights using the second distribution information to obtain a plurality of final weights, and thereby reducing an error that may occur when quantizing the weight of the batch normalization layer.
Abstract:
Provided is a wireless charging apparatus for performing wireless charging of an electronic device including a receiving coil located in a three-dimensional (3D) wireless charging zone using a plurality of transmitting coils arranged in the 3D wireless charging zone and at least one power source configured to supply a current to the plurality of transmitting coils.
Abstract:
Provided is a wireless charging apparatus for performing wireless charging of an electronic device including a receiving coil located in a three-dimensional (3D) wireless charging zone using a plurality of transmitting coils arranged in the 3D wireless charging zone and at least one power source configured to supply a current to the plurality of transmitting coils.
Abstract:
An open type resonance coil without dual loops having a serial type in-phase direct power feeding method without dual loops is provided. A transmission device is configured as two resonators and to feed power in phase, the transmission device is configured as a power feeding loop without a resonance coil, two transmission devices are connected in series, and winding directions of coils of half of the two transmission devices connected by a conductive wire are opposite.
Abstract:
A method and apparatus for multi-level stepwise quantization for neural network are provided. The apparatus sets a reference level by selecting a value from among values of parameters of the neural network in a direction from a high value equal to or greater than a predetermined value to a lower value, and performs learning based on the reference level. The setting of a reference level and the performing of learning are iteratively performed until the result of the reference level learning satisfies a predetermined value and there is no variable parameter that is updated during learning among the parameters.
Abstract:
Provided is a battery charging method using wireless power transmission, the method including: receiving a first message associated with a battery charge start from a reception apparatus; discovering an optimal frequency band for a transmit power signal to be transmitted to the reception apparatus based on the first message; receiving, from the reception apparatus, a second message that includes an extra power value and a charge power value, and is associated with a charge state of the reception apparatus; and adaptively controlling transmit power so that the extra power value is maintained to be constant in proportion to a relationship between the charge power value and a first parameter, based on the second message.
Abstract:
A method for wirelessly receiving energy and data, including: a resonation operation of resonating a first frequency power signal transmitted from a transmission apparatus; a reception operation of receiving a second frequency data signal transmitted from the transmission apparatus; a first matching operation of matching input/output impedance upon receiving the first frequency power signal; a rectification operation of rectifying impedance-matched power signal from the first matching operation into a DC current; a second matching operation of matching input/output impedance upon receiving the second frequency data signal; an oscillation operation of outputting a second frequency signal by using the first frequency signal output from the resonation operation, as a reference frequency; and a frequency mixing operation of mixing the impedance-matched data signal from the second matching operation with the signal output from the oscillation operation to restore a baseband data signal.