Radiation induced crosslinking effect on semi - interpenetrating polymer networks of poly(vinyl alcohol)

“…Semi-IPNs with varying contents of poly(vinyl alcohol) (PVA), poly acrylamide (PAM) and crosslinker N,N’-methylene bis acrylamide (MBA) were prepared by redox polymerization method. The structural and morphological properties were studied by Fourier transform infrared (FTIR) spectroscopy, environmental scanning electron microscopy (ESEM) and X-ray diffraction (XRD) methods, respectively. …”
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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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FAULT DIAGNOSIS OF GEARBOX UNDER VARIABLE WORKING CONDITION BASED ON WEIGHTED SUBDOMAIN ADAPTIVE ADVERSARIAL NETWORK by ZHANG Huiyun, ZUO Fangjun, YU Xi, YANG Ting

“…The results show that the proposed method achieves diagnostic accuracy exceeding 95% across different conditions, demonstrating its feasibility and effectiveness.…”
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Road Vehicle-Bridge Interaction considering Varied Vehicle Speed Based on Convenient Combination of Simulink and ANSYS by Helu Yu, Bin Wang, Yongle Li, Yankun Zhang, Wei Zhang

“…Different from typical method of road vehicle-bridge interaction in the vertical direction, a detailed longitudinal force model is set up to take into account the effects of varied vehicle speed. …”
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Three-Dimensional and Multiple Image Encryption Algorithm Using a Fractional-Order Chaotic System by Ghader Ghasemi, Reza Parvaz, Yavar Khedmati Yengejeh

“…The rapid development of communication in the last decade has heightened the necessity to create a secure platform for transferring data, including images, more than in previous years. One of the methods of secure image transmission is the encryption method. …”
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Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction by Yanchang LV, Jingyue Wang, Chengqiang Zhang, Jianming Ding

“…Aiming at fault feature extraction and separation, an adaptive threshold denoising fault detection method based on Maximum correlated kurtosis deconvolution (MCKD) and Empirical wavelet transform (EWT) is proposed. …”
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PECVD application to obtain polymer coated graphene nanoplatelets and development of new epoxy nanocomposites by Duygu Yanardag, Gulnare Ahmetli, Mustafa Karaman, Suheyla Kocaman

“…In this study, graphene nanoplatelets (GNPs) were synthesized from graphite by a liquid-phase exfoliation (layer separation) method, and their surfaces were functionalized with poly(glycidyl methacrylate) (PGMA) by using the rotatingbed plasma-enhanced chemical vapor deposition (PECVD) method. …”
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Acoustic Diagnosis of Rolling Bearings Fault of CR400 EMU Traction Motor Based on XWT and GoogleNet by Gang Yang, Yuqian Wei, HengKui Li

“…An intelligent fault diagnosis method based on Cross Wavelet Transform (XWT) and GoogleNet model is proposed in this paper. …”
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Beam-like damage detection methodology using wavelet damage ratio and additional roving mass by Juliana C. Santos, Marcus V. G. de Morais, Marcela R. Machado, Ramon Silva, Erwin U. L. Palechor, Welington V. Silva

“…Thus, a frequency-shift curve is observed, and different damage identification techniques were used, such as the discrete wavelet transform and the derivatives of the frequency-shift curve. …”
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Speaker Recognition Using Wavelet Cepstral Coefficient, I-Vector, and Cosine Distance Scoring and Its Application for Forensics by Lei Lei, She Kun

“…This model firstly uses the WCC to transform the speech into spectral feature vecors and then uses those spectral feature vectors to train the i-vectors that represent the speeches having different durations. …”
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Biomimetic synthesis of poly(lactic-co-glycolic acid)/multi-walled carbon nanotubes/apatite composite membranes by H. L. Zhang

“…This indicated that biomimetic mineralization may be an effective method to improve the biocompatibility and bone inductivity of certain materials. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…This work compares the efficiency of an HTIC model with other classification methods by looking at its applicability across five different datasets. …”
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Multiscale structural complexity assessment of coral reefs using underwater photogrammetry. by Erick Barrera-Falcón, Rodolfo Rioja-Nieto, Roberto C Hernández-Landa

“…The wavelet-based method effectively decomposed the DEMs into components representing structural complexity at different scales, with the reconstructed DEMs statistically equivalent to the original data source (p > 0.05). …”
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An enhanced time efficient technique for image watermarking using ant colony optimization and light gradient boosting algorithm by Vipul Sharma, Roohie Naaz Mir

“…Initially, for providing robustness against watermarking attacks, a method for watermarking embedding is designed in the domain of Discrete Cosine Transform. …”
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Using Hybrid Wavelet-Exponential Smoothing Approach for Streamflow Modeling by Vahid Nourani, Hessam Najafi, Alireza Babaeian Amini, Hitoshi Tanaka

“…In this study, a new hybrid method based on the wavelet transform (WT) as a multiresolution forecasting tool and exponential smoothing (ES) method, with two presented scenarios (WES1 and WES2), was introduced. …”
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Development of G–Ag and C–Ag Nanoparticle‐Based Biosensor for Benzoic Acid Detection by Mehmet Selcuk Erdogan, Muhammed Bekmezci, Nihal Yigit Ertas, Ramazan Bayat, Fatih Sen

“…In this study, an efficient electrochemical sensor for the highly sensitive detection of benzoic acid (BA) is developed using silver nanoparticles (Ag NPs) obtained by two different methods: the green synthesis method (G–Ag) and the chemical synthesis method (C–Ag). …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“…Tasks to be solved: selection of spectral analysis methods suitable for diagnostics of technological equipment, analysis of methods for calculating autoregression coefficients and derivation of relations for estimating software complexity of algorithms and calculation of numerical estimates of addition and multiplication for some algorithms, adaptation of developed methods and estimates to microcontrollers. spectrum Applied methods: algorithm theory, Fourier transform, natural series, microcontroller programming. …”
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Bias and standard deviation mean and maximum Doppler frequency estimators by K. MARASEK, A. NOWICKI

“…The mean frequency was computed as the first spectral moment of the spectrum with and without the noise subtraction. Different definitions of f_max were used: frequency at which spectral power decreases down to 0.1 of its maximum value, modified threshold crossing method [23] and novel geometrical method. …”
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EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model by CHEN Yu, HU Xiuxiu, WANG Sheng

“…Firstly, the continuous wavelet transform (CWT) is used to extract time-frequency domain features, and combined with the spatial information of EEG electrodes to form a 2D feature image, which jointly retains the spatial, time and frequency information of EEG; then the convolutional neural network (CNN) is used) to extract spatial and frequency domain features, and then input bidirectional long and short-term memory ( BiLSTM) to capture time information; finally combined with attention mechanism (AM) , different weights are assigned to the multi-domain features extracted from the network, enabling the selection of more representative depressive features, thereby improving the accuracy of identifying depression. …”
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Adaptive Diffeomorphic Multiresolution Demons and Their Application to Same Modality Medical Image Registration with Large Deformation by Chang Wang, Qiongqiong Ren, Xin Qin, Yi Yu

“…Large deformation was simulated by rotational distortion and extrusion transform, medical image registration with large deformation was performed, and quantitative analyses were conducted using the registration evaluation indexes, and the influence of different driving forces and parameters on the registration result was analyzed. …”
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