Fault Extraction of Wind Turbine Rolling Bearings Using FDEO and the Improved ACYCBD by Gong Yongli, Peng Dikang, Feng Tao, Liu Yibing

“…Finally, for the purpose of addressing the problem such as multiple vibration components existing in a vibration signal collected from wind turbines, which may mask the vibration component of interest, the improved ACYCBD is then used to extract the fault feature. The industrial results show that the proposed method is able to extract the faulty feature at an early stage without the interference of other vibration sources.…”
Get full text

Orthogonal neural representations support perceptual judgments of natural stimuli by Ramanujan Srinath, Amy M. Ni, Claire Marucci, Marlene R. Cohen, David H. Brainard

“…Natural images, however, contain task-irrelevant background elements that might interfere with the perception of object features. Recent studies suggest that visual feature estimation can be modeled through the linear decoding of task-relevant information from visual cortex. …”
Get full text

Wavefront Sensor for the Determination of Nanostructured Surface Defects by V.V. Buchenko, A.A. Goloborodko, V.V. Lendel, O.S. Oberemok

“…The comparison of the theoretical calculations and experimental results of the influence of interference phenomena on the determination of the parameters and the structure of the refractive index is presented. …”
Get full text

Common-Ground Bridgeless Unity Power Factor Single-Phase Rectifier by Ivo Barbi, Hugo Rolando Estofanero Larico

“…A non-optimized experimental prototype was developed and tested in the laboratory to validate the operating principle and the results of theoretical analysis. The distinctive feature of the proposed rectifier is that it eliminates the leakage current that circulates through the parasitic capacitances existing between the power semiconductor and heatsink, which causes common-mode electromagnetic interference in conventional boost-based PFC rectifiers.…”
Get full text

High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering by Dequan Li, Dong Wang

“…The representation of feature image that reflects each submirror's piston error which obtained by this method is the same.Therefore, regardless of the number or the arrangement of submirrors, the single shallow convolutional neural network trained by any of the extracted submirror interference image dataset can be used to achieve high-precision detection of different submirror piston errors.Finally, simulation experiment results show the effectiveness of the proposed method.…”
Get full text

TNFAIP2 promotes NF-κB signaling mediate lymph node metastasis of oral squamous cell carcinoma by protecting IKKβ from ubiquitin proteasome degradation by Teng Xu, Yaning Wang, Zechen Zhao, Jinsong Wang, Zhenyuan Zhao, Yuemei Yang, Xiaomeng Song, Qingguo Lai

“…The nHAp based TNFAIP2 interference might serve as a novel therapeutic in limiting OSCC metastasis.…”
Get full text

A Highly Selective and Sensitive Fluorescent Probe With a Large Stokes Shift for Near-Infrared Visualization of Endogenous and Exogenous Biothiols in Living Cells by Xiaomin Li, Rongrong Yuan, Yangmin Ma, Guanglong Li, Siyue Ma

“…Methods: (E)-4-(5-(2-(4-(dicyanomethylene)-4H-chromen-2-yl)vinyl)thiophen-2-yl)phenyl 2,4-dinitrobenzenesulfonate (DCMOS-N), a near-infrared (NIR) fluorescent probe featuring a large Stokes shift, was designed and synthesized for biothiols detection. …”
Get full text

Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition by Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE

“…Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.…”
Get full text

Fault Diagnosis of Rolling Bearings based on VMD and Symmetric Difference Energy Operator Demodulation by Qin Bo, Wang Zuda, Guo Huili, Sun Guodong, Chen Shuai, Wang Jianguo

“…The experimental results show that compared with the traditional energy operator,the proposed method can effectively extract the fault feature,and can restrain the false interference frequency and highlight the fault characteristic frequency,more conducive to roller bearing fault diagnosis.…”
Get full text

Transformer network for time series prediction via wavelet packet decomposition by Zhichao Wu, Aiye Shi, Yan Ping Tao

“…Although, conventional time series processing methods—such as multi-scale feature extraction or Transformer-based algorithms—produce superior prediction results, when dealing with data that contain morenoise and outliers, the prediction ability of such methods can suffer. …”
Get full text

Application of Variational Mode Decomposition based on the FOA and in Bearing Fault Diagnosis by Chang Liu, Yanxue Wang, Jianwei Yang

“…It is difficult to extract early fault signatures under strong background noise and pulse interference. Thus， a new fault diagnosis method is proposed based on the variational mode decomposition and fruit fly optimization algorithm （FOA）. …”
Get full text

An experimental method for detecting objects in an aqueous environment by Kuzmin Yuri, Proshkin Stanislav

“…The experimental configuration employs a parallel arrangement of a generator and two receiving electrode antennas. A key feature of this technique is its ability to distinguish an object's unique flow characteristic from ambient noise. …”
Get full text

Automatic Quality Assessment of Speech-Driven Synthesized Gestures by Zhiyuan He

“…We noticed that recurrent neural networks (RNN) have advantages in modeling advanced spatiotemporal feature sequences, which are very suitable for use in the processing of synthetic gesture video data. …”
Get full text

Classification and Identification of Frequency-Hopping Signals Based on Jacobi Salient Map for Adversarial Sample Attack Approach by Yanhan Zhu, Yong Li, Tianyi Wei

“…To address the challenge posed by interfering parties that use deep neural networks (DNNs) to classify and identify multiple intercepted FH signals—enabling targeted interference and degrading communication performance—this paper presents a batch feature point targetless adversarial sample generation method based on the Jacobi saliency map (BPNT-JSMA). …”
Get full text

APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX by WANG ChaoGe, LIU TongTong, REN XuePing, ZHANG HaoDong, WANG JianGuo

“…However,due to the interference of noise,it was difficult to make a correct judgment from the spectrum of the components. …”
Get full text

Porous‐Skeleton‐Encapsulated Electronic Yarn: High‐Precision Pressure Sensing, Moisture Monitoring, and Personal Protection for Exercise Rehabilitation by Xinyi Wang, Chunyu Zhao, Congcong Lou, Lin Mei, Liang Lu, Jianpeng Wu, Yunqi Xu, Zimu Li, Shuai Liu, Xinglong Gong, Tianzhi Luo, Honghao Ma, Shouhu Xuan

“…This study describes a structure‐dependent dual‐mode moisture‐pressure sensing yarn (MACHy) that features a porous skeleton encapsulating the electrode core yarn through a chemical and physical crosslinking‐induced gelation process. …”
Get full text

Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy by Leilei Zheng, Xinyan Wu, Wei Gu, Rui Wang, Jing Wang, Hongying He, Zhao Wang, Bin Yi, Yi Zhang

“…The best models were selected based on the area under the receiver operating characteristic curve (AUROC). Model feature importance was explained and analyzed using Shapley Additive Explanations (SHAP). …”
Get full text

LEXICAL AND SEMANTIC NORMS IN FORMATION OF STATE OFFICIAL LANGUAGE COMPETENCY by Liliia V. Kharchuk

“…It is proved that state governors are obliged to obey communicative features of language culture, namely: its correctness, accuracy, logic, purity, pithiness and relevance.…”
Get full text

LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi by Yosia Adi Susetyo, Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto

“…With advanced prediction and monitoring features, these devices provide efficient and high-value solutions for companies to monitor environmental conditions accurately and proactively. …”
Get full text

A Novel 14-Gene Panel Associated With Efferocytosis for Predicting Pancreatic Cancer Prognosis Through Bulk and Single-Cell Databases by Yaheng Wu, Lin Zhao, Dingyan Yi, Zhihua Tian, Bin Dong, Chunxiang Ye, Jingtao Liu, Huachong Ma, Wei Zhao

“…Finally, we utilized experimental methods, including Boyden chamber analyses, immunohistochemical staining, and cell cycle analyses, to demonstrate that interference with ASPH suppresses the malignant properties of tumors, including proliferation and migration. …”
Get full text