Research status and future prospects on ultraviolet Ad-Hoc network by GUO Jia, YUAN Renzhi, WANG Siming, PENG Mugen, YANG Chuang

“…These include self-interference issues in the physical layer due to the full-duplex mode, node energy consumption and synchronization problems in the data link layer’s media access control (MAC) protocol, and poor network connectivity and scalability of routing protocols in the network layer. …”
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Wireless May Benefit Blockchain by Seungmo Kim, Junsung Choi

“…It features a comprehensive analytical framework that mathematically derives metrics quantifying the scalability and the level of decentralization of the three consensus mechanisms, constituting a key contribution of this work. …”
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Research on VoNR voice wireless optimization strategy by Xinchao ZANG, Ronglin LI

“…There are two 5G voice solutions, EPS Fallback and VoNR.In the early stage of 5G network construction, 5G base station coverage rate and terminal penetration rate were not high, so EPS Fallback was used as a 5G voice transition solution.At present, with the deployment of 2.6 GHz and 700 MHz networks, the SA network achieves independent networking, and VoNR will be the main solution for 5G voice.In order to actively respond to the deployment of VoNR and analyze the advantages of VoNR from multiple dimensions, an in-depth research on VoNR features, parameters, and application scenarios were conducted, VoNR wireless strategy deployment was formulated, for uplink weak field, interference, large traffic characteristics of all kinds of scenarios functions such as deployment and optimization to provide suggestion and scheme, and prepares for VoNR’s official commercial use.…”
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Face recognition using decision fusion of multiple sparse representation-based classifiers by Biao TANG, Wei JIN, Randi FU, Fei GONG

“…A new approach to face recognition combining decision fusion and multiple sparse representation-based classifiers was proposed to improve the robustness of the traditional methods.Different types of facial features were extracted,followed by training multiple sparse representation sub-classifiers,and then decision fusion was used to obtain the recognition result of the system.The significant advantage of the proposed scheme lines in that the final recognition results were not driven by averaging outputs of multiple sub-classifiers,but driven by combining multiple outputs via weighted fusion method.In particular,the fusion weights were adaptively determined by an iterative pro-cedure according to the different classification performance of each sub-classifier.Extensive experiments on Yale B,JAFFE and AR face databases demonstrate that the proposed approach is much more effective than state-of-the-art methods in dealing with lighting changes,expression changes and face occlusion and multi factor mixed interference.…”
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Face recognition using decision fusion of multiple sparse representation-based classifiers by Biao TANG, Wei JIN, Randi FU, Fei GONG

“…A new approach to face recognition combining decision fusion and multiple sparse representation-based classifiers was proposed to improve the robustness of the traditional methods.Different types of facial features were extracted,followed by training multiple sparse representation sub-classifiers,and then decision fusion was used to obtain the recognition result of the system.The significant advantage of the proposed scheme lines in that the final recognition results were not driven by averaging outputs of multiple sub-classifiers,but driven by combining multiple outputs via weighted fusion method.In particular,the fusion weights were adaptively determined by an iterative pro-cedure according to the different classification performance of each sub-classifier.Extensive experiments on Yale B,JAFFE and AR face databases demonstrate that the proposed approach is much more effective than state-of-the-art methods in dealing with lighting changes,expression changes and face occlusion and multi factor mixed interference.…”
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EcgScorer: An open source MATLAB toolbox for ECG signal quality assessment by Noura Alexendre, Fotsing Kuetche, Ntsama Eloundou Pascal, Simo Thierry

“…This paper presents a MATLAB toolbox for automated ECG Signal Quality Assessment, featuring a novel method. Furthermore, the toolbox can extract up to 37 Signal Quality Indices (SQIs), commonly used as features in machine learning-based SQA. …”
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Investigating the Effectiveness of a Signal-based Approach in Improving Learners’ Decoding of Connected Speech The Case Study of Second-year Students, University of M’sila by Mohamed LAOUBI

“…It attempts to integrate CS instruction into the listening comprehension lessons following a diagnostic approach that uncovers CS features which may cause comprehension breakdown. An experimental group (N= 19) received listening lessons with an extended post-listening phase to address the CS features diagnosed as problematic during listening. …”
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Despot by Antranig Sarian

“…Iain Banks’ Complicity (1993) features a fictional ‘world-builder’ game called Despot that actively watches and emulates the player. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…Data on the physiological and psychological parameters, driving performance, and wrist movement information of 33 drivers were collected. Firstly, features were extracted through time, frequency domain, and nonlinear analyses, and non-parametric tests were performed to analyze the differences in these features under different driving states, thus selecting an effective feature subset. …”
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Equidistant Landmarks Fail to Produce the Blocking Effect in Spatial Learning Using a Virtual Water Maze Task with Healthy Adults: A Role for Cognitive Mapping? by Róisín Deery, Seán Commins

“…Blocking is a feature of cue competition where prior knowledge of a cue (X) will interfere with the subsequent learning of a second cue (XY). …”
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Study of the Press Fit Bearing-Shaft Joint Dimensional Parameters by Analytical and Numerical Approach by Zuzana Murčinková, Petr Baron, Martin Pollák

“…The aim of the analysis and study is to determine the tangential and radial stress, the radial displacement, and the influence of the shape features and the size of the interference on the change of the radii in the press fit bearing-shaft joint, in particular, the ball bearings of 6014 2RSR C3 type. …”
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Recognition Algorithm of AE Signal of Rock Fracture Based on Multiscale 1DCNN-BLSTM by Weihua Wang

“…In response to the interference characteristics of acoustic emission signal data, a multiscale one-dimensional convolutional neural network embedded with efficient channel attention (ECA) module was incorporated into the model, and multiscale convolutional kernels were used to extract features of different levels of precision. …”
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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. …”
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Adaptive Dynamic Surface Integral Sliding Mode Fault-Tolerant Control for Multimachine Excitation Systems with SVC by Guoqiang Zhu, Shuang Ji, Zhiwei Li, Yilong Zhang

“…In this paper, an adaptive dynamic surface integral sliding mode fault-tolerant controller is designed for the multimachine power system with static var compensator (SVC) to overcome the problem of actuator failure. The main features of the proposed method are as follows: (1) By combining the dynamic surface control (DSC) method with integral sliding mode (ISM), the tracking errors of the system converge to the neighborhood of zero within a finite time, and the convergence speed, tracking accuracy, and anti-interference ability of the system are also significantly improved. (2) By introducing the failure factors, an adaptive fault-tolerant controller is designed to ensure the stability of the entire system after partial failure of the actuator. (3) By estimating the norm of the ideal weight vector of the radial basis function neural networks (RBFNNs), the computational burden of the controller is reduced. …”
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Conventions in localisation: a corpus study of original vs. translated web texts by Miguel A. Jiménez-Crespo

“…This is explained in terms of interference from source texts conventions and the specific constraints that operate during the translation process.…”
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Antipodal Vivaldi Antenna to Detect UHF Signals That Leaked Out of the Joint of a Transformer by Jian Zhang, Xiaoxing Zhang, Song Xiao

“…The metal box can effectively shield against electromagnetic interference and does not deteriorate the performance of the antenna significantly. …”
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Energy-efficient collaborative transmission algorithm based on potential game theory for beamforming by Jing Zhang, Li Lei, Xin Feng

“…A group of nodes satisfying the node spacing condition is selected as cooperative nodes based on the ring array to minimize communication interference among nodes. Second, a potential game model is proposed as a joint method for optimizing the collaborative parameters of the cooperative nodes and their energy consumption balancing features. …”
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A Method of Trackside Kilometer Post Identification Combined with YOLOv3 Model by QIU Xinhua, WANG Wenkun, JI Yuwen, LI Jia

“…In view of poor anti-interference ability and weak generalization of the present trackside identification method, it is unable to adapt to complex background fluctuation along railway. …”
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Cable fault detection based on enhanced spread spectrum time domain reflectometry by Xinwen Ma, Zhendong Yin

“…This approach removes the incident signal component from the acquired waveform, thereby mitigating its interference with the reflected signal and enhancing reflective characteristics. …”
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Research on millimeter-wave radar-assisted multi-agent collaborative localization and mapping by WANG Wei, WANG Shengpeng, ZHANG Ruijie, LUO Zhiqing

“…However, the limited perception capabilities of a single agent and the susceptibility of visual sensors to interference make it challenging for traditional methods to meet the demands of real-time localization and mapping in complex and dynamic environments. …”
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