Research and Implementation of Civil Residence Right of Internet of Things for Smart Home

Abstract

With the progress of the times, Internet of things technology is increasingly close to public life, which provides great support for the promotion of an intelligent and convenient lifestyle. The basic research on computer technology can form a contemporary emerging Internet of things technology, which has brought a great breakthrough to the information industry. Internet of things technology has brought a new model to home design. At the same time, through China’s proposal of various schemes, it has more effectively promoted the effective application of smart home. In order to improve the credibility of technical evidence in civil litigation of housing residence right, this research generates a big data portrait algorithm of water and electricity behavior characteristics through a fuzzy neural network (FNN) Fourier function (FFT), remote real-time meter reading data and generates feature code comparison algorithm of civil evidence of civil residence right (CRR) through machine learning decision technology (MLDT). As an important part of the court evidence chain, the in-depth mining of electric energy meters and water meters in the smart home Internet of things technology (IOTT) provides technical evidence for the actual residents of a specific house at a specific time. In this study, FNN and MLDT are used to directly judge the machine learning results of evidence required for ordinary civil court debate. The software that constructs the algorithm in the python big data analysis software environment has higher judgment ability for the house ownership confirmation algorithm and has significant advantages. The technical way to obtain the confirmation result of housing residence right is also significantly better than other results. With the support of other relevant evidence, the conclusion of the software can form an evidence chain to meet the needs of civil defense, and the credibility of its technical evidence is very high. In the simulation analysis, although the algorithm designed in this study can not achieve 100% data expression, it also has comparative advantages.

Retracted: Research and Implementation of Civil Residence Right of Internet of Things for Smart Home

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”