Hfi Innovation Inc.

Huawei Technologies Co., Limited

Tsinghua University

Beihang University

Beijing Yi Zhang Yun Feng Technology Co., Ltd.

Beijing Goldenway Bio-tech Co., Ltd.

Qian Huang

Shaw-Min Lei

Jicheng An

Xun Guo

Chih-Wei Hsu

Yu-Wen Huang

Di Wang

Liyan Xu

Xiaoyu Ma

Qionghua Wang

Junxian Mo

Chunye Wang

Min-Hang Song

Shui-Qing Li

Yilong Li

Junyan Liu

Yupeng Liang

Yu Haiyan

Jin-Guo Sun

Yinsheng Zhou

Yaoli Wang

Disclosed is a large-depth metasurface polarization holographic 3D display method, including: performing calculations for a first 3D object and a second 3D object based on an angular spectrum diffraction theory to obtain a first metasurface hologram and a second metasurface hologram; performing interleaved row-by-row insertion of the first and the second metasurface holograms to encode into a synthetic hologram, optimizing phases of the synthetic hologram by using an error diffusion algorithm to obtain phase information required by metasurface structures, that is, meta-phase information; designing the metasurface structures based on the meta-phase information, and making a metasurface structure in odd rows sensitive to left-handed circularly polarized light, and a metasurface structure in even rows sensitive to right-handed circularly polarized light to achieve independent control over different polarization states; and performing holographic 3D reconstruction by illuminating the metasurface structures with laser.

Large-depth metasurface polarization holographic 3D display method

A traffic prediction method includes performing traffic autonomous zone division on a to-be-predicted geographic area based on geographic information data of the geographic area and crowd flow data of the geographic area to obtain a plurality of sub-areas; determining, for any sub-area, a crowd flow motif in the sub-area based on geographic information data of the sub-area and crowd flow data of the sub-area, where the crowd flow motif indicates a multi-point crowd motion pattern in the sub-area; determining a crowd flow feature of the sub-area based on the crowd flow motif; and predicting data traffic of the sub-area based on the crowd flow feature of the sub-area to obtain a data traffic prediction result of the sub-area.

Traffic prediction method and apparatus, and storage medium

The present application provides an atmosphere-adjustable multi-staged swirl ammonia burner, including a combustion structure, a tangential inflow structure, a secondary-air structure, and an ammonia adjustment structure. The combustion structure includes a swirl-flow pre-combustion chamber, a combustion housing, and a staged-flow adjustment assembly. The staged-flow adjustment assembly is configured to introduce staged airflows into the combustion chamber. The tangential inflow structure is configured to introduce air and fuel gas into the swirl-flow pre-combustion chamber. The secondary-air structure is disposed between the combustion housing and the tangential inflow structure. The ammonia adjustment structure extends through the tangential inflow structure to the combustion chamber and includes a branched inlet pipe and a central adjustment assembly. The branched inlet pipe is configured to introduce ammonia gas. The central adjustment assembly is configured to adjust a spray shape of the ammonia gas introduced from the branched inlet pipe.

Atmosphere-adjustable multi-staged swirl ammonia burner

In various example embodiments, a system and method for synchronization of messages based on queues are presented. One or more electronic messages are received according a message order. A message queue that corresponds to the first user is generated. The one or more messages in the message queue are stored based on the received message order. A position of a next message in the generated message queue to be transmitted is determined. The message from the determined position in the message queue is transmitted to the client device operated by the first user.

Synchronization of messages based on queues

A method and apparatus for deblocking reconstructed video in a video coding system. The method receives reconstructed pixel data, wherein the reconstructed pixel data is configured into LCUs (largest coding units) and each LCU is divided into blocks. The method then identifies horizontal block edges of the blocks in the LCUs, applies first vertical filtering to the reconstructed pixel data corresponding to one or more first lines above a first horizontal block edge in the first edge group, and applies second vertical filtering to the reconstructed pixel data corresponding to one or more second lines above a second horizontal block edge in the second edge group, wherein a first number of said one or more first lines is smaller than a second number of said one or more second lines.

Method and apparatus for reduction of deblocking filter

A method and apparatus for improved deblocking filter are disclosed. In one embodiment according to the present invention, determining the non-zero transform coefficients existence for a PU-only boundary is skipped and therefore the deblocking filter for PU-only boundary is eliminated if the condition of boundary strength equal to 1 is not fulfilled to avoid unnecessary deblocking. In another embodiment of the present invention, three gradients are determined for two pixel lines and filter ON/OFF decision is made based on the three gradient values of the two pixel lines. One aspect of the invention is related to filter strength selection between strong and weak filters. According to one embodiment, the filter strength selection is based on various gradient values of a pixel line across the block boundary. Another aspect of the invention is related to the weak filter.

Method and apparatus of deblocking filter

A method and apparatus for deblocking of reconstructed video are disclosed. In one embodiment, the method divides a block boundary into two sub-boundaries and separates lines or column across the sub-boundaries into two groups. The deblocking filter decision for each group is determined based on the lines or columns in the respective group. In another embodiment, the method divides block edges of blocks in the LCUs into two edge groups, where the first edge group corresponds to horizontal block edges between two LCUs and the second edge group corresponds to remaining block edges not included in the first edge group. The number of lines processed by a vertical filter in the first edge group is less than the number of lines processed by a vertical filter in the second edge group. Accordingly, a system embodying the present invention has reduced storage requirement.

The present invention discloses a new resource processing method of kitchen waste, in particular, provides a method of preparing biochemical humic acid from kitchen waste and biochemical humic acid product prepared therefrom. The kitchen waste treated by technical solution of the present invention has a high conversion rate of organic matter, reaching over 90%. Meanwhile, the biochemical humic acid product prepared by the invention is nutritious, the amount of the total humic acid, free humic acid and water soluble humic acid in the product reach up to 38-42%, 35-40% and 14-16%, respectively; it contains not only the major elements such as nitrogen, phosphorus and potassium, but also the trace elements such as zinc, iron and manganese as well as other active substances. Thus the product is suitable for fertilizer in agricultural production.

Biochemical humic acid product prepared from kitchen waste and the method of preparing the same

Growing community of inventors

Beijing, China

Qian Huang