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Zhou Xiaofeng

Publications -  7
Citations -  26

Zhou Xiaofeng is an academic researcher. The author has contributed to research in topics: Terminal (electronics) & Multimedia database. The author has an hindex of 4, co-authored 7 publications receiving 26 citations.

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Patent

ETL (Extract Transform and Load) framework design method for safety monitoring business analysis

TL;DR: In this paper, an ETL (Extract Transform Transform and Load) framework design method for safety monitoring business analysis is presented, which comprises data extraction, data transformation and data loading.
Patent

Cross-domain single-point registration system and method facing system integration

TL;DR: In this article, a cross-domain single-point registration system and method-facing system integration is presented, which is suitable for a high concurrent scene and supports a registration-free condition, under the condition that codes of the system are not invaded and system setting is not changed.
Patent

Method for fitting safe horizontal displacement and dynamic data of variable sliding window of water level

TL;DR: In this article, a method for fitting safe horizontal displacement and dynamic data of a variable sliding window of water level based on dam engineering is presented, which includes the following steps: inputting and pre-processing data.
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.