Sony Group Corporation

Sony Corporation

Fujitsu Corporation

Beijing Xiaomi Mobile Software Co., Ltd.

Lu Shi

Chen Sun

Xin Guo

Youping Zhao

Qi Wang

Yu Xin Zhao

Yu Zhao

Lei Liang

Cong Xie

A communication system and an electronic device are provided. The communication system includes a processing chip and two sets of communication circuits, each set of the communication circuit includes a switch circuit, a SIM card port circuit and at least one eSIM circuit, the switch circuit includes a first terminal and at least two second terminals, in which the first terminal is connected to a communication interface of the processing chip, the at least two second terminals are respectively connected to the SIM card port circuit and the at least one eSIM circuit in one-to-one correspondence, and the first terminal of the switch circuit is switched to be connected with each second terminal.

Communication system and electronic device

Provided are an electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device comprises: a processing circuit configured to acquire, from a frequency spectrum management device, a channel priority parameter for a specific channel, wherein the channel priority parameter is used for instructing a resource application system to use the specific channel as the priority level of an extended channel; and selecting the extended channel of the resource application system at least based on the channel priority parameter.

Electronic device and method for wireless communication, and computer-readable storage medium

Provided are an electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device comprises: a processing circuit, configured to: construct an interference overlapping diagram based on an interference/coexistence relationship between resource application systems within a management range, wherein a connection point of the interference overlapping diagram represents one or more resource application systems, and an edge of the interference overlapping diagram represents the fact that interference exists between the resource application systems represented by two connection points linked with the edge; remove one or more edges in the interference overlapping diagram so as to enable the interference overlapping diagram to meet a pre-determined condition after the removal; and carry out channel/resource allocation based on the adjusted interference overlapping diagram.

Embodiments of this disclosure provide an object recognition method and apparatus and a single step object recognition neural network, in which by replacing a part of convolutional layers in a conventional single shot multibox detector (SSD) network with dilate convolution, limitation on a size of an input image may be reduced; by increasing connection paths, accuracy of object recognition may be improved; and by connecting the convolutional layers by using residual structures, a convergence effect may be ensured, and accuracy of object recognition may be improved.

Object recognition method and apparatus and single step object recognition neural network

A frequency spectrum management device includes a processing circuit configured to acquire, with regard to a position of a primary user sample, a plurality pieces of sample information, each of the plurality pieces of sample information comprising information of a plurality of secondary user samples, and an aggregate interference generated by the plurality of secondary users on the primary user sample; and training a neural network model by taking the information of the plurality of secondary user samples as an input of the neural network model and taking the aggregate interference generated by the plurality of secondary user samples on the primary user sample as an output of the neural network model, so as to determine a parameter set of the neural network model corresponding to the position of the primary user sample.

Frequency spectrum management device, system, method and computer readable storage medium

Embodiments of this disclosure provide an object recognition method, apparatus and network, in which by replacing a part of convolutional layers in a conventional YOLO network with depth-wise separable convolutional layers, an amount of computation may be reduced; and by replacing residual structures in the conventional YOLO network with dense connection structures, convergence may be sped up, complexity of the network may be lowered, and the original accuracy of object recognition may be maintained.

Object recognition method, apparatus and network

A camera module includes: a control body, a lens assembly and at least one magnetic member. The control body includes a circuit board and a spatial magnetic field sensing member disposed on the circuit board. The lens assembly is configured to be controlled to move, so as to generate relative displacement between the lens assembly and the spatial magnetic field sensing member. The at least one magnetic member is assembled to the lens assembly to generate a preset magnetic field around the lens assembly. Along with a movement of the lens assembly, the spatial magnetic field sensing member senses changes of the preset magnetic field.

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Beijing, China

Lu Shi