scispace - formally typeset
C

Cao Xuexing

Publications -  12
Citations -  27

Cao Xuexing is an academic researcher. The author has contributed to research in topics: Synchronizing & Mechanism (engineering). The author has an hindex of 3, co-authored 12 publications receiving 27 citations.

Papers
More filters
Patent

Data synchronization method of PC (Personnel Computer) end and mobile terminal based on hydraulic polling business

TL;DR: In this article, a data synchronization method of a PC (Personnel Computer) end and a mobile terminal based on hydraulic polling business is presented, which mainly comprises two parts of uploading polling data at the mobile terminal and downloading the polling data from the PC end.
Patent

Optimal step length and dynamic model selection based ultrahigh arch dam response prediction method

TL;DR: In this article, an optimal step length and dynamic model selection based on ultra-high arch dam response prediction method is proposed, which comprises the steps of: preprocessing data and determining error values and missing values in the data; using the optimal step lengths and an interpolation method to predict the data, selecting an optimal interpolation model according to absolute errors, and using sample data of the optimal steps and the optimal interpolations to predict a to-be-predicted stress value reflecting a working state of a ultrahigh ar dam.
Patent

Liquamatic type ship lift downstream quick butt joint method

TL;DR: In this article, a liquamatic type ship lift downstream quick-butt joint method was proposed to improve the performance of a ship lift in the case of too large downstream water level variation amplitude and insufficient running water depth in the ship compartment.
Patent

Similarity data clustering method for dam safety monitoring data

TL;DR: In this article, a similarity data clustering method for dam safety monitoring data is proposed, which comprises the following steps of separating a single measuring point sequence trend term from the high-frequency noise by utilizing an EMD algorithm, detecting the time sequence change points by adopting an inflection point detection method of a cumulative sum control graph, and splitting to obtain all subsequence sets; adopting a DTW distance measurement method for calculating the distance problem of the subsequence, and calculating the minimum value between the two pieces of subsequence data dynamically; and clustering the mined sub-time