Asia Optical Co., Ltd.

Sintai Optical (shenzhen) Co., Ltd.

Shenzhen University

Zte Corporation

Sanechips Technology Co., Ltd.

Sheng Luo

Hua-Tang Liu

Yue-Ye Chen

Lian Zhao

Hong Wang

Kaishun Wu

Ke Xu

Ming Zhou

Zhi-Wei Gao

Ke-Yu Qiu

Jia-Jun Cao

Yueling Che

Jian-Mei Chen

Xiao Zhang

Bin Hua Liu

Dehui Kong

Han Lu

Bo Huang

Chin-Hsiang Wang

Jian Wei

Bin Han

Guoning Lu

Degen Zhen

Chengqiang Liu

Long Huang

Jie Ouyang

Yabin Lai

Zhou Han

Yishen Li

Jian-Fei Feng

Liangzhu Li

The present application discloses a massive MIMO wireless energy transmission method based on dynamic frame transmission. The method comprises the following steps: controlling, by a base station, each antenna to transmit a pilot signal to a user end in a time-sharing mode by using set time-sharing pilot frames; acquiring, by the user end, downlink channel state information from the antennae of the base station to the user end and feeding the downlink channel state information back to the base station; and calculating, by the base station, a precoding matrix based on the downlink channel state information, mapping data from a user layer to an antenna port by using the newly calculated precoding matrix, and performing beam forming calculation with maximization of an energy signal of the user end as a goal.

Massive MIMO wireless energy transmission method based on dynamic frame transmission

An image reconstruction method, device and apparatus and non-transitory computer-readable storage medium are disclosed. The method may include: determining norms of convolution kernels of each convolutional layer of a deep neural network model; determining the convolution kernels with norms greater than or equal to a preset threshold in each convolutional layer to obtain a target convolution kernel set of each convolutional layer; processing an input image of each convolutional layer by using the convolution kernels in the target convolution kernel set of each convolutional layer respectively, to obtain a first image processing result; obtaining a second image processing result by performing interpolation on an initial image; and determining a fusion result according to the first image processing result and the second image processing result and reconstructing the initial image according to the fusion result.

Image reconstruction method and device, apparatus, and non-transitory computer-readable storage medium

An optimization method for UAV-based wireless information and energy transmission includes following steps: S1: reporting, by a wireless device, an energy state of the wireless device to a UAV; S2: detecting, by the UAV, a channel state between the UAV and the wireless device; and S3: selecting, by the UAV, an optimal action based on estimated revenue maximization according to an electric quantity of the UAV, an electric quantity of the wireless device, and the channel state. The use of the wireless device can reduce wiring costs, beautify the space, and ensure a smaller size and a lower power. By applying the UAV to information and energy transmission for the wireless devices, the data transmission rate and the energy conversion efficiency of networks are improved.

Optimization method for UAV-based wireless information and energy transmission

Provided are method and device for inverse quantization and inverse transformation and non-transitory computer-readable storage medium. The method includes: performing inverse quantization processing on input data; determining whether secondary inverse transform processing is necessary; performing, in response to determining that the secondary inverse transform processing is necessary, the secondary inverse transform processing on data obtained through the inverse quantization processing, first one-dimensional inverse transform control processing on data obtained through the secondary inverse transform processing, and second one-dimensional inverse transform control processing on data obtained through the first one-dimensional inverse transform control processing; and performing, in response to determining that the secondary inverse transform processing is unnecessary, first one-dimensional inverse transform control processing on the data obtained through the inverse quantization processing, and second one-dimensional inverse transform control processing on the data obtained through the first one-dimensional inverse transform control processing.

Method and device for inverse quantization and inverse transformation and non-transitory computer-readable storage medium

A range finder includes a prism module and a prism adjusting mechanism. The prism module includes a fixing prism group and a movable prism group, wherein the fixing prism group is adjacent to the movable prism group. The prism adjusting mechanism includes a first adjusting group and a second adjusting group, wherein the first adjusting group includes a first adjusting member and a second adjusting member, and the second adjusting group includes a third adjusting member. The first adjusting member or the second adjusting member is rotated to axially move so that the movable prism group is rotated with respect to the fixing prism group about a first axis, the third adjusting member is rotated to axially move so that the movable prism group is rotated with respect to the fixing prism group about a second axis, and the first axis is perpendicular to the second axis.

Range finder

A rotating shaft mechanism includes a first connecting portion, a second connecting portion, a central shaft rotatably connected to the first connecting portion and the second connecting portion, and an adjusting unit disposed on the central shaft. The adjusting unit includes an adjusting ring disposed around the central shaft, a first washer disposed around the central shaft and configured to generate a force to the first connecting portion or the second connecting portion. A position of the adjusting ring with respect to the central shaft is axially adjustable for adjusting the force so that the first connecting portion or the second connecting portion is rotatable or fixed relative to the central shaft.

Rotating shaft mechanism

A prism and light transmitter module includes a prism holder, a light transmitter, a prism module, a drive circuit board, a shield, and a fixing assembly. The light transmitter is configured to emit or receive a light beam along a light axis. The prism module includes an inclined plane and is disposed within the prism holder with the inclined plane exposed. The drive circuit board is disposed above the inclined plane, and intersects with the light axis at a first angle. The shield is disposed on the drive circuit board. The fixing assembly connects to the prism holder, is configured to fix the drive circuit board, and includes a hole through which the light transmitter is exposed. A binocular capable of measuring distance includes a first optical system and a second optical system. The first optical system or/and the second optical system include the prism and light transmitter module.

Binocular capable of measuring distance and prism and light transmitter module thereof

A prism module includes a first prism including a first surface, a second surface and a third surface, a roof prism including a roof surface and a fourth surface, a second prism including a fifth surface, a sixth surface and a seventh surface, and a third prism including a light access surface, a first reflecting surface and a second reflecting surface. A light source is disposed above the second prism and adjacent to the first and the roof prisms. A light beam emitted by the light source enters and is reflected by the third prism, enters the second prism through the seventh surface, passes through the sixth surface, enters the first prism through the third surface, and is reflected by the second surface to leave the prism module. The light beam leaving the prism module is parallel to a baseline passing through the first, the second and the fourth surfaces.

Binocular capable of measuring distance and prism module thereof

Laser distance meter

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Shenzhen, China

Sheng Luo