Hangzhou City University

China University of Mining and Technology

Anping Wan

Pengfei Wang

Qiang Zuo

Wei Shao

Zhuhua Deng

Qianqian Lu

Ziwen Sang

Haigang Ding

Jiantao Yuan

Jinglin Wang

Tianmin Shan

Jun Wu

Jie Yang

Tao Fang

Weipeng Liu

Tao Peng

Xuxia Zhang

Luoke Hu

Xiaomin Cheng

Ting Chen

Junjie Jiang

Junhao Huang

Kaiyang Wang

Rui Yin

A generalizable neural radiation field reconstruction method based on multi-modal information fusion, including: Step 1, constructing photometric features and geometric features based on unstructured multi-views, and constructing a multi-modal neural encoder by performing incrementally complementary fusion on the photometric features and the geometric features; Step 2, converting the multi-modal neural encoder and raw RGB pixel bodies of the unstructured multi-views into a volume density and radiation brightness; Step 3, sampling light on the basis of the constructed multi-modal neural encoder, aggregating context features of the sampled light based on a transformer network to obtain light context features; and Step 4, decoding, using the light context features, the volume density and the radiation brightness; rendering, based on the decoded volume density and the radiation brightness, to generate a free-view RGB-D image; and guiding dense reconstruction of a low-texture scene by combining photometric supervision and sparse geometric supervision.

Generalizable neural radiation field reconstruction method based on multi-modal information fusion

A data mining-based method for real-time production quality prediction of aluminum alloy casting, includes: (1) based on mold flow analysis results, installing sensors on a casting mold; wherein the sensors include at least one temperature sensor, at least one pressure sensor, at least one contact sensor, and a multi-functional gas sensor; (2) during casting production, real-time collecting temperatures, pressures, and contact times of the aluminum liquid at a plurality of locations of the casting mold, and pressure, composition, humidity, and temperature of gas in a mold cavity, by the installed sensors, for constructing an aluminum alloy casting process parameter set; and (3) inputting the process parameter set to a production quality prediction model; wherein the production quality prediction model is used to judge whether the production quality is qualified, which is obtained by mining a relationship between history casting process parameters and casting quality data.

Data mining-based method for real-time production quality prediction of aluminum alloy casting, electronic device, and computer-readable storage medium

An aero-engine fault diagnosis method based on 5G edge computing and deep learning is provided. The method includes following steps: performing data acquisition, preprocessing, and storage based on a new 5th Generation Mobile Communication Technology (5G) cloud-edge-terminal network architecture; constructing a machine learning module in an edge cloud, where historical data stored in the aero-engine fault database management system is used as training samples of the machine learning module; and performing intelligent self-management of the aero-engine gear fault simulation platform and the aero-engine fault database management system.

Aero-engine fault diagnosis method based on fifth-generation telecommunication technology standard distributed computing framework and deep learning

A method for configuring and updating random access resources in a multi-antenna multiple-input multiple-output (MIMO) environment is provided, including: initializing a base station; broadcasting, by the base station, the available RACH resources using an SIB2; initiating, by users who have data to be sent in an uplink, random access processes on the RACH resources configured by the base station; and redefining an S state, an I state, and a C state. Configuration of the RACH resources may be gradually and dynamically optimized according to the quantity of antennas of the base station and a utilization rate threshold of the RACH resources, so that waste of random access RACH resources is reduced provided that an MIMO system meets a required user/service access success probability; a utilization of the resources is improved by fully utilizing spatial diversity characteristics of the MIMO system.

Method for configuring and updating random access resources in multi-antenna MIMO environment

A two-dimensional motor and a servo valve are provided. The two-dimensional motor includes a stator and a rotator arranged coaxially. The stator is enclosed in the rotor. The stator and the rotor are spaced along a radial direction of the rotor. A size of the stator along an axial direction is greater than a size of the rotor along the axial direction. The rotor is, without bearing support, directly connected to an external mechanism. The rotor is swung at a predetermined angle, such that the external mechanism can drive the rotor to move along an axial direction of the rotor relative to the stator.

Two-dimensional motor and servo valve

An electro-hydraulic proportional valve includes: a valve core; a valve sleeve, sleeving an outside of the valve core; a valve body, sleeving an outside of the valve sleeve and fixedly connected to the valve sleeve; a left end cap, covering an end of the valve body, a left sensitive cavity being defined by the left end cap, the valve body, and the valve sleeve; a right end cap, covering the other end of the valve body, a right sensitive cavity being defined by the right end cap, the valve body, and the valve sleeve; a driving mechanism disposed out of the valve body; and a transmission mechanism connected to the driving mechanism and the valve core.

Electro-hydraulic proportional valve

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Hangzhou, China

Anping Wan