Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…To achieve this, statistical features of Mel frequency cepstral coefficients were extracted, generating features applicable regardless of signal length. …”
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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

“…Abstract Customer churn is a common problem faced by many industries, including telecommunication industries. …”
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Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition by Олеся Барковська, Антон Гаврашенко

“…Conclusions: In the course of the work, the best sequence of stages of pre-processing audio data was selected for use in further training of the neural network for different ways to convert signals into features. Mel-cepstral characteristic coefficients are better suited for solving our problem. …”
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Two-dimensional spatial orientation relation recognition between image objects by Gong Peiyong, Zheng Kai, Jiang Yi, Zhao Huixuan, Huai Honghao, Guan Ruijie

“…Recent advances in computer vision have concentrated on comprehension of the semantic features of images, particularly the spatial relations between objects—a fundamental semantic feature of visual scene understanding. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

“…This step helps remove noise and redundant features that could affect the prediction results. …”
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ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS by Victor V. Kitov

“…Gradient boosting method with random rotations is considered, where before training each base learner random rotation is applied to the feature space. The accuracy metric of the given method is estimated for a broad range of generated problems of binary classification. …”
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MOBILE WEB-APPLICATION ARCHITECTURE CONCEPT FOR VIBRATIONAL SIGNALS PROCESSING by V. E. Bazarevsky

“…The way to monethize mobile web applications on the basis of PhoneGAP plug-in feature are proposed.…”
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Application of The Cognitive-Technological Approach for Creating Online Courses on Digital Technologies for Teaching Staff by P. S. Lomasko, O. A. Fadeeva

“…The focus of this work is the problem of developing complex online courses, and not separate sets of digital didactic tools.The purpose of the study is to present the essence of the cognitive-technological approach and describe the most significant features of online courses on digital technologies for teaching staff developed on its basis.Materials and methods. …”
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Visual Place Recognition Method Based on Attention Mechanism by DAI Tian-hong, YANG Xiao-yun, SONG Jie-qi

“…Finally, we combine the mask with the convolution feature to construct the image feature descriptor fused with the attention mechanism so as to improve the robustness of the feature. …”
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“Received with undifferent love…”: The 300th anniversary of the campaign of Emperor Peter the Great to the Caspian (on the assessment of the novelty of domestic Caucasus studies: M... by Yu. Yu. Klychnikov

“…At the same time, the authors reconstruct the specifics of the age under study, show its military-political, economic and cultural features. The chapters-sections devoted to separate aspects of this problem are characterized. …”
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Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings by David Verstraete, Andrés Ferrada, Enrique López Droguett, Viviana Meruane, Mohammad Modarres

“…This knowledge is sometimes a luxury and could introduce added uncertainty and bias to the results. To address this problem a deep learning enabled featureless methodology is proposed to automatically learn the features of the data. …”
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Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning by Fujie Ren, Haibin Liu

“…Additionally, eight general state features are proposed to represent the scheduling status at the rescheduling point. …”
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基于时间序列幅值分量标度特性的齿轮箱故障诊断 by 林近山, 窦春红, 伦冠德, 刘炳强

“…Gearboxes are complex dynamical systems and vibration data from defective gearboxes are typically characterized by nonstationarity and nonlinearity.Consequently,it is difficult to extract fault features from these nonstationary and nonlinear data.Detrended Fluctuation Analysis（DFA）can be employed to analyze nonstationary and nonlinear data and the scaling-law curve obtained by DFA can be used to display the dynamical behavior of complex systems.However,scaling-law curves of original data from fault gearboxes usually assume complex shapes.As a result,it is a difficult problem to extract feature parameters from these complex scaling-law curves.To resolve the problem,the scaling property of increment series from fault gearboxes is studied and that the amplitude component of the increment series mainly conveys the nonlinear information is proved.Next,a novel method for fault diagnosis of gearboxes based on scaling features of amplitude components of time series is proposed.The proposed method consists of four parts.Firstly,the increment series of original series is derived.Next,the amplitude component of the increment series is determined.Thirdly,the DFA algorithm is utilized to acquire the scaling-law curve of the amplitude component.Finally,the fluctuation parameters for the starting and the crossover points of the scaling-law curve are extracted and used as feature parameters to describe the conditions of a gearbox.Subsequently,the effectiveness of the proposed method is checked using gearbox fault data.The results show that the proposed method is robust to noise,delivers a good performance and outperforms the diagnostic methods using the temporal parameters in fault diagnosis of gearbox.…”
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Trajectory and communication scheduling optimization for the rechargeable UAV aided data collection system by Qianwen LI, Jianfeng CHEN, Miao CUI, Guangchi ZHANG

“…A rechargeable unmanned aerial vehicle (UAV) aided wireless sensor network was considered, which consists of multiple ground terminals with a large amount of time-sensitive data to be collected.Due to the limited battery capacity, the UAV cannot collect the data from all terminals through a single flight mission, and it needs to return to the charging pile to replenish its flight energy several times during the whole mission.The optimization of the terminal scheduling, trajectory, flight speed and transmission rate for the UAV was studied to maximize the number of terminals whose data had been collected within the data lifetime limit.Due to the variable coupling and the existence of discrete binary scheduling variables, the considered optimization problem is difficult to solve.To tackle such a difficulty, an efficient algorithm was proposed based on the stochastic optimization and the feature engineering.Specifically, the flight hover communication protocol was introduced to simplify the UAV flight process.And then a terminal scheduling algorithm was innovatively proposed with the influence factor and the stochastic preference, which extracted the features that affect the service time of the UAV, optimized the weights of the features, and further simplified the optimization problem into multiple subproblems.The subproblems were then solved by using the block coordinate descent and successive convex approximation techniques.Simulation results show that the proposed optimization algorithm achieves significant performance gains over several benchmark schemes in the scenarios with different data lifetime requirements and different numbers of ground terminals.…”
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Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology by Peter Verhoeven, Florian Sinn, Tino T. Herden

“…When solving a problem, care should be taken to address a technology’s unique features to ensure effectiveness and cost-efficiency.…”
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Detection of Abnormal Item Based on Time Intervals for Recommender Systems by Min Gao, Quan Yuan, Bin Ling, Qingyu Xiong

“…In the paper, two common features of all attack models are analyzed at first. …”
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Dynamic Programming as a Method of Spline Approximation in the CAD Systems of Linear Constructions by D. A. Karpov, V. I. Struchenkov

“…Under study is a problem of the line structure routing of roads, railways and other linear constructions. …”
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Rumor Detection Based on Knowledge Enhancement and Graph Attention Network by Wanru Wang, Yuwei Lv, Yonggang Wen, Xuemei Sun

“…For the first time, this paper integrated a knowledge graphs and graph attention networks to solve this problem through attention mechanisms. A knowledge graphs can be the most effective and intuitive expression of relationships between entities, providing problem analysis from the perspective of “relationships”. …”
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Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors by Yu Zhang, Edmond C. Prakash

“…We demonstrate the utility of our method by presenting several applications, including analysis of facial features of subjects in different race groups, facial feature transfer, and adapting face models to a particular population group.…”
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The concept of performative national identity: the theoretical methodological framework by M. R. Snegur

“…Modern social and political changes emphasize the particular relevance of the problem of forming national identity in the context of often contradictory sociocultural processes. …”
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