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Artificial Intelligence and Robotics

Wavelet transform

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Full-Text Articles in Computer Engineering

Terrain Surface Texture Generation Networks For User Semantics Customization, Yan Gao, Jimeng Li, Jianzhong Xu, Hongyan Quan Oct 2023

Terrain Surface Texture Generation Networks For User Semantics Customization, Yan Gao, Jimeng Li, Jianzhong Xu, Hongyan Quan

Journal of System Simulation

Abstract: Customizing terrain based on user semantics has practical value in the virtual terrain modeling of military simulation applications. This study provides a terrain surface texture generation network (TSTG-Net) that can synthesize realistic terrain based on user input semantics. TSTG-Net is designed as a Pix2pix structure and is based on CGAN. It learns the topology of customized terrain by encoding and parsing user semantics and regards the semantics feature as the constraint of CGAN. In the generator-discriminator structure, user-customized semantics are used as the input, and the real terrain with semantics is employed as the ground truth in network optimization. …


Short-Time Human Activity Recognition Based On Wavelet Features Matching, Benyue Su, Li Zhang, Qingxuan He, Min Sheng Jan 2023

Short-Time Human Activity Recognition Based On Wavelet Features Matching, Benyue Su, Li Zhang, Qingxuan He, Min Sheng

Journal of System Simulation

Abstract: The selection of features is the key problem in the study of human activity recognition. In order to obtain sufficient and stable behavioral features, long-time behavioral data that exceed one behavior cycle are often processed, while short-time behavioral data with less than one behavioral cycle are usually unstable, making it difficult to achieve accurate and stable identification. This paper proposes a short-time human activity recognition method based on the combination of wavelet transform and template matching. Coefficient features are extracted using wavelet transform method. The features of the short-time test samples are matched with the features in the template …


Simulation Study On Damage Localization Of Large Generator Stator Insulation Based On Guided Waves, Li Hao, Ruihua Li, Hu Bo, Pan Ling, Qiyi Guo Aug 2020

Simulation Study On Damage Localization Of Large Generator Stator Insulation Based On Guided Waves, Li Hao, Ruihua Li, Hu Bo, Pan Ling, Qiyi Guo

Journal of System Simulation

Abstract: A stator insulation damage localization method based on guided waves was proposed. The dispersive curve was obtained by solving the Rayleigh-Lamb equations. Finite structure models of four typical groundwall insulation damage, i.e. void, delamination, longitudinal and transverse crack were established by FEM software Abaqus, in which the excitation, acquisition and propagation properties of guided wave were numerical simulated. Based on that, wavelet scalogram was used to extract the flight time of damage-scattered wave to obtain the insulation damage location. Analysis was conducted to compare the location precision under each wave modes. Simulation results indicate that the method is …


Wood Structure Nondestructive Detection Based On Wavelet Analysis Ant-Colony Bp Network, Guoxiong Zhou, Xianyan Zhou, Jiejun Wang, Te Huang Aug 2020

Wood Structure Nondestructive Detection Based On Wavelet Analysis Ant-Colony Bp Network, Guoxiong Zhou, Xianyan Zhou, Jiejun Wang, Te Huang

Journal of System Simulation

Abstract: In view of the wood component glue line defect, a method of wood structure nondestructive detection was proposed based on ant colony BP neural network. The wood specimens was tested to obtain the test signal by ultrasonic testing instrument, in order to eliminate the testing effect of the tester gain control and defect size, angle variation on the test defect echo amplitude, the defect signal amplitude was needed to normalization. The wood component decomposition of ultrasonic signals was de-composite to different frequency channels by the domain band-pass characteristics of the wavelet frequency. By extract characteristic of the original signal …


Downhole Drilling Processing Data Acquisition And Stick Slip Characteristic Analysis, Huang Sheng, Zhang Tao, Chongjun Huang, Yumei Li, Deng Hu, Zhang Xia Dec 2019

Downhole Drilling Processing Data Acquisition And Stick Slip Characteristic Analysis, Huang Sheng, Zhang Tao, Chongjun Huang, Yumei Li, Deng Hu, Zhang Xia

Journal of System Simulation

Abstract: During oil drilling process, drill string vibrations are detrimental to the bit and drill string, which even causes failure of equipment. Researches show that, studying the law of near bit vibration data can reduce non-production time (NPT) and improve drilling efficiency. This paper uses power spectral density and wavelet transform to analyze vibration signals, then compares with normal drilling situation to find out stick slip characteristics. The results show that, when stick slip occurs, the mean value of lateral vibration fluctuates greatly, which indicates stick slip is mainly based on torsional vibration. From the perspective of power spectral density …


De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang Jan 2019

De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang

Journal of System Simulation

Abstract: To overcome the shortage of losing partial important information of hard-threshold method with EEG signal de-noising process, a novel de-noising method based on the combination of measuring of medium truth degree (MMTD) and EEG is proposed. By decomposing noisy signals of wavelet transform, handling threshold of high-frequency wavelet coefficients in every layer, and reconstructing post-processing of the wavelet coefficients, the purpose of noise elimination can be guaranteed. Under different noise intensity, the experimental results show that the MAWH (MMTD and wavelet hard-threshold) method has perspective of lower RMSE and higher SNR compared to hard-threshold and soft-threshold.


Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie Jan 2019

Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie

Journal of System Simulation

Abstract: Aiming at the characteristics that the output signal of outboard active decoy simulation model is non-stationary random signal, a simulation model verification method based on wavelet transform is proposed. The measured and simulated signals are decomposed into low frequency and high frequency parts by determining the wavelet function. For the low frequency part with stationary state, the characteristic data is obtained by parameter fitting with the least square method. For the high frequency part, AR model is used to fit the parameters, and the fitting parameters are used as the characteristic data, The correlation coefficient method is used to …


Vascular Image Enhancement Using Steerable Filters, Yiren Wang, Guoqing Deng, Yingwei Xia, Zhang Long, Liu Yong, Zhang Wen Jun 2018

Vascular Image Enhancement Using Steerable Filters, Yiren Wang, Guoqing Deng, Yingwei Xia, Zhang Long, Liu Yong, Zhang Wen

Journal of System Simulation

Abstract: Based on the weakness of traditional image enhancement algorithms, an enhancement algorithm with steerable filter is put forward, which uses computer vision system as hardware platform. A steerable filter is applied for taking vein information in different directions. The wavelet transform is used to fuse image for high frequency information on vein. The nonlinear unsharp masking enhancement algorithm is used to escalate vein image. Experiment results show that the new algorithm can effectively suppress noise, reduce information loss and achieve better enhancement.