Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (8): 2358-2363.doi: 10.13229/j.cnki.jdxbgxb.20220748

Previous Articles    

Simulation of segmentation wavelet noise reduction algorithm for large⁃scale IoT terminal ciphertext data

Shou-qi CAO1(),Fan-hui KONG1,Zheng ZHANG1,Ru-yi XIONG2   

  1. 1.School of Engineering，Shanghai Ocean University，Shanghai 201306，China
    2.Sino-German School，Chongqing Vocational College of Transportation，Chongqing 402260，China
  • Received:2022-06-15 Online:2023-08-01 Published:2023-08-21

RICH HTML

 6   

PDF (PC)

156

Abstract:

In order to effectively filter the noise in terminal ciphertext data， a segmentation wavelet noise reduction algorithm for large-scale IoT terminal ciphertext data is proposed. The continuous spectral components and line spectral components of different types of data are extracted by the periodogram estimation feature extraction method， and the noise features of the ciphertext data are obtained. The maximum projection of noise data in the scale space is used to construct the energy matching criterion， and the structured wavelet filter bank is used to establish the optimal energy matching wavelet consistent with the signal energy. Through the waveform matching criterion， the optimal waveform matching wavelet which is the same as the signal waveform is established by using the optimization function to complete the segmented wavelet de-noising of the ciphertext data of the large-scale IOT terminal. The experimental test results show that the proposed algorithm can effectively reduce the delay of data noise reduction， and can also obtain satisfactory noise reduction effect.

Key words: large-scale internet of things, terminal ciphertext data, segmentation, wavelet noise reduction

CLC Number: 

  • TM933

Fig.1

Flow chart of wavelet threshold denoising"

Fig.2

Operation flow chart of optimal waveform matching algorithm"

Fig.3

Comparative analysis of the results of segmental wavelet noise reduction for large-scale IoT terminal ciphertext data with different algorithms"

Table 1

Comparison of noise reduction delay results of different algorithms"

测试组次降噪时延/ms
本文算法文献［3］算法文献［4］算法
10.2540.2640.271
20.2830.2990.300
30.3010.3150.334
40.3260.3340.359
50.3450.3580.376
60.3660.3700.389
1 崔少华,李素文,汪徐德.BP神经网络和SVD算法联合的地震数据去噪方法[J].电子测量与仪器学报,2020,34(2): 12-19.
Cui Shao-hua, Li Su-wen, Wang Xu-de.Joint de-noising method of seismic data via BP neural network and SVD algorithm[J].Journal of Electronic Measurement and Instrumentation, 2020, 34(2): 12-19.
2 王宁,殷长春,高玲琦,等. 基于曲波变换的航空电磁数据去噪方法研究[J].地球物理学报,2020,63(12):4592-4603.
Wang Ning, Yin Chang-chun, Gao Ling-qi, et al. Airborne EM denoising based on curvelet transform[J]. Chinese Journal of Geophysics, 2020, 63(12): 4592-4603.
3 靳萍,李红志,王磊.基于时频分析的感应传输CTD数据降噪方法研究[J].中国测试, 2021, 47(5): 24-32, 57.
Jin Ping, Li Hong-zhi, Wang Lei.Research of data denoising method for induction transmission CTD based on time-frequency analysis[J]. China Measurement & Testing Technology, 2021, 47(5): 24-32, 57.
4 朱甜甜,刘建,宋波,等.焊缝超声相控阵检测数据深度学习降噪方法[J].应用声学, 2022, 41(1): 112-118.
Zhu Tian-tian, Liu Jian, Song Bo, et al. Noise reduction method for weld PAUT detection data based on deep learning[J]. Journal of Applied Acoustics, 2022, 41(1): 112-118.
5 李俊,黄开明,帅晶.无线探空仪回波信号的变分模态分解与降噪研究[J].电子技术应用, 2020, 46(12):103-106, 110.
Li Jun, Huang Kai-ming, Jing Shuai. Study on variational mode decomposition and noise reduction of signal of radiosonde[J].Application of Electronic Technique, 2020, 46(12): 103-106, 110.
6 Tudor V, Gulisano V, Almgren M, et al. BES: differentially private event aggregation for large-scale IoT-based systems[J]. Future Generation Computer Systems, 2020, 108: 1241-1257.
7 罗宗誉,严华林.基于PCA-CLEAN的噪声稳健激光微多普勒特征提取方法[J].激光与红外,2020,50(11):1313-1321.
Luo Zong-yu, Yan Hua-lin. Noise robust laser micro-Doppler feature extraction method based on PCA-CLEAN[J]. Laser & Infrared, 2020,50(11): 1313-1321.
8 周运斌,陈茜,王颖,等.基于聚类算法和类噪声数据辨识的负荷模型特征参数提取[J].电工电能新技术,2020,39(12): 12-18.
Zhou Yun-bin, Chen Qian, Wang Ying, et al. Ambient signal and clustering algorithm based extraction for identified load model parameters[J]. Advanced Technology of Electrical Engineering and Energy, 2020,39(12):12-18.
9 张巍,李雨成,张欢,等.面向通风智能化的风速传感器结构化数据降噪方法对比[J].中国安全生产科学技术,2021,17(8): 70-76.
Zhang Wei, Li Yu-cheng, Zhang Huan, et al. Comparison of structured data noise reduction methods for airflow speed sensor of intelligent ventilation[J]. Journal of Safety Science and Technology, 2021,17(8): 70-76.
10 鲁铁定,谢建雄.变分模态分解结合样本熵的变形监测数据降噪[J].大地测量与地球动力学, 2021, 41(1): 1-6.
Lu Tie-ding, Xie Jian-xiong. Deformation monitoring data de-noising method based on variational mode decomposition combined with sample entropy[J]. Journal of Geodesy and Geodynamics, 2021, 41(1): 1-6.
11 李波,聂增丽,畅君元.嵌入式异构物联网密文数据动态捕获方法[J].计算机仿真,2021,38(2):282-286.
Li Bo, Nie Zeng-li, Chang Jun-yuan. Embedded heterogeneous internet of things ciphertext data dynamic capture method[J]. Computer Simulation, 2021,38(2): 282-286.
12 吴峻,王湘,宋蕾.动圈式永磁直线直流电机的精英保留多种群遗传优化算法[J].国防科技大学学报,2021,43(4): 76-84.
Wu Jun, Wang Xiang, Song Lei. Multi-population genetic optimization algorithm with elite retention for moving-armature permanent magnet linear direct current motor[J].Journal of National University of Defense Technology,2021,43(4): 76-84.
13 程龙,张方华.用于混合储能系统平抑功率波动的小波变换方法[J].电力自动化设备,2021,41(3):100-104, 128.
Cheng Long, Zhang Fang-hua. Wavelet transform method for hybrid energy storage system smoothing power fluctuation[J].Electric Power Automation Equipment,2021,41(3): 100-104, 128.
[1] Xiao-xin GUO,Jia-hui LI,Bao-liang ZHANG. Joint segmentation of optic cup and disc based on high resolution network [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(8): 2350-2357.
[2] Chun-yang WANG,Wen-qian QIU,Xue-lian LIU,Bo XIAO,Chun-hao SHI. Accurate segmentation method of ground point cloud based on plane fitting [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(3): 933-940.
[3] Jin-Zhen Liu,Guo-Hui Gao,Hui Xiong. Multi⁃scale attention network for brain tissue segmentation [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 576-583.
[4] Xian-yu QI,Wei WANG,Lin WANG,Yu-fei ZHAO,Yan-peng DONG. Semantic topological map building with object semantic grid map [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 569-575.
[5] Bing ZHU,Zi-wei LI,Qi LI. Building segmentation method of remote sensing image based on improved SegNet [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(1): 248-254.
[6] Sheng-sheng WANG,Lin-yan JIANG,Yong-bo YANG. Transfer learning of medical image segmentation based on optimal transport feature selection [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1626-1638.
[7] Na LI,Shao-sheng TAN. Image segmentation of fencing continuous action based on spatial neighborhood information [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1639-1644.
[8] Xue-yun CHEN,Xue-yu BEI,Qu YAO,Xin JIN. Pedestrian segmentation and detection in multi-scene based on G-UNet [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 925-933.
[9] Xue WANG,Zhan-shan LI,Ying-da LYU. Medical image segmentation based on multi⁃scale context⁃aware and semantic adaptor [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 640-647.
[10] Lin MAO,Feng-zhi REN,Da-wei YANG,Ru-bo ZHANG. Two⁃way feature pyramid network for panoptic segmentation [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 657-665.
[11] Song-mei TANG. Key technology of face recognition system based on swarm intelligence in library [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2216-2224.
[12] Sheng-sheng WANG,Jing-yu CHEN,Yi-nan LU. COVID⁃19 chest CT image segmentation based on federated learning and blockchain [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2164-2173.
[13] Yuan-yuan WANG,Lu SUN,Wei-dong LIU,Jin-shun XUE. Constraint improvement of binocular reconstruction algorithm used to measure pavement three-dimensional texture [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(4): 1342-1348.
[14] Guo-zhu CHENG,Rui CHENG,Liang XU,Wen-hui ZHANG. Risk assessment of roadside accidents based on occupant injuries analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(3): 875-885.
[15] Lu-shen WU,Wei CHENG,Yun HU. Image segmentation of multilevel threshold based on improved cuckoo search algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 358-369.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd