Estimation of stationary and non-stationary moving average processes in the correlation domain. by Martin Dodek, Eva Miklovičová

“…Unlike conventional methods, this approach uses the Newton-Raphson and Levenberg-Marquardt algorithms to efficiently find the solution. A key finding is the demonstration of multiple symmetrical solutions and the provision of necessary conditions for solution feasibility. …”
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Content System of Physical Fitness Training for Track and Field Athletes and Evaluation Criteria of Some Indicators Based on Artificial Neural Network by Wei Wang, Xiaowei Chen

“…Therefore, the concept and related algorithms are elaborated, and the case design and analysis are carried out. …”
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ALTERNATIVE APPROACH TO THE METHODOLOGY OF ECOLOGICAL NORMALIZATION by Galina A. Oboldina

“…Approval of standardized algorithms of expert actions based on the impact monitoring data gives grounds for possible ecologization of the Water Code in order to assess the aquatic systems safety and to implement the state regulatory function of natural resources protection.…”

Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition by Dan QU, Wen-lin ZHANG

“…Original eigenphone speaker adaptation method performed well when the amount of adaptation data was suffi-cient.However,it suffered from server overfitting when insufficient amount of adaptation data was provided.A sparse group LASSO(SGL) constraint eigenphone speaker adaptation method was proposed.Firstly,the principle of eigenphone speaker adaptation was introduced in case of hidden Markov model-Gaussian mixture model (HMM-GMM) based speech recognition system.Then,a sparse group LASSO was applied to estimation of the eigenphone matrix.The weight of the SGL norm was adjusted to control the complexity of the adaptation model.Finally,an accelerated proximal gradient method was adopted to solve the mathematic optimization.The method was compared with up-to-date norm algorithms.Experiments on an mandarin Chinese continuous speech recognition task show that,the performance of the SGL con-straint eigenphone method can improve remarkably the performance of the system than original eigenphone method,and is also superior to l₁、l₂-norm and elastic net constraint methods.…”
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WAVELET IDENTIFICATION OF 1/fPROCESS FOR THE FRACTAL DIMENSION OF MACHINED SURFACE TOPOGRAPHY by WEN ShuHua, ZHAO Yue, ZHANG XueLiang, CHEN YongHui, LAN GuoSheng

“…The calculation results of the wavelet identification of 1/f process are compared with the box counting method, variance method, R/S analysis method, power spectral density method（PSD）, root mean square method（RMS）, structure function method and the method of equations, and the results show that the wavelet identification of 1/f process is more accurate and more convenient than other algorithms, further shows that the wavelet analysis method can be well applied to the multi-scale fractal analysis on the surface. …”
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Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance by Giovanni Bianchi, Chiara Fanelli, Francesco Freddi, Felice Giuliani, Aldo La Placa

“…Recent Artificial Intelligence (AI) algorithms, which enable the use of digital tools such as Data-Driven models that can automatically adapt system operation, make decisions and suggest strategies based on collected data, form the basis of modern Predictive Maintenance (PdM). …”
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An Efficient 2-D DOA Estimation for a Cylindrical Conformal Array with Unknown Mutual Coupling by Chao Liu, Shunian Yin

“…The limited space of a conformal array may lead to a serious mutual coupling effect, which will significantly affect the performance of direction of arrival (DOA) estimation algorithms. In this paper, an efficient 2-D direction finding method is developed in the presence of unknown mutual coupling for the uniform cylindrical conformal array (CCA). …”
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Recognizing Cursive Typewritten Text Using Segmentation-Free System by Mohammad S. Khorsheed

“…Feature extraction algorithms widely range between robust and hard to extract features and noise sensitive and easy to extract features. …”
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Research on Random Access Technology of Inter-Frame Interference Cancellation for 6G Satellite Internet of Things by Yu XU, Qing GUO

“…In 6G, one of the important application scenarios is ultra-massive machinetype communications, which is mainly oriented to the application scenarios of concurrent access of massive terminals such as the satellite Internet of Things.How to design an access mechanism that can meet the concurrent access service requirements of large-scale users in machine communication scenarios for the future 6G satellite communication network is an important problem to be solved.A random access protocol based on intra-frame interference cancellation was proposed.In this protocol, each access user who needs to transmit data sends multiple packet copies in one frame, and the receiver can successfully receive packets from multiple users in confl icting time slots by using interference cancellation algorithms in the frame.Compared with the traditional random access mechanism, this mechanism can greatly improve the throughput performance in the scenario of multi-user concurrent access.…”
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柴油机卷簧扭振减振器力学模型和性质研究 by 田中旭, 陈俊豪, 蔡正祥, 汪俊, 李嘉鹏

“…Owning high reliability and excellent performance,sleeve spring-type torsional vibration dampers is often used in high-power marine diesel engine to reduce torsional vibration.However,since sleeve spring pack belongs to the large deformation and nonlinear problem of the superposed curved beam,the description of the deformation state,the change of the contact area and the limitation of the surrounding space on the deformation make the study of mechanical model very complicated.So far,there still isn’t an efficient and accurate computational method for the stiffness parameters.Therefore,the computational model of the stiffness for the dampers was studied.Based on the superposed curved beam bending models,these complex factors such as the contact between the springs,support and limit of stroke limiter were fully considered.A complete damper stiffness mechanics model and related algorithms were presented and program was made as well.Correctness of the model was verified by the method of finite element analysis.Based on this,the influence of the main design parameters of the damper on the mechanical properties was studied,which provided a basis for design of the damper.…”
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Possibilities in Blockchain technology application by Bačević Jelena

“…Within the period from its beginning until the present day, this technology has been considerably improved, applied algorithms perfected and accommodated to contemporary business environment. …”
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Energy-efficient strategy for work node by DRAM voltage regulation in storm by Yonglin PU, Jiong YU, Liang LU, Chen BIAN, Bin LIAO, Ziyang LI

“…Focused on the problem that traditional energy-efficient strategies never consider about the real time of data processing and transmission,models of directed acyclic graph,parallelism of instance,resource allocation for task and critical path were set up based on the features of data stream processing and the structure of storm cluster.Meanwhile,the WNDVR-storm (energy-efficient strategy for work node by dram voltage regulation in storm) was proposed according to the analysis of critical path and system performance,which included two energy-efficient algorithms aiming at whether there were any work nodes executing on the non-critical path of a topology.Finally,the appropriate threshold values fit for the CPU utilization of work node and the volume of transmitted data were determined based on the data processing and transmission constraints to dynamically regulate the DRAM voltage of the system.The experimental result shows that the strategy can reduce energy consumption effectively.Moreover,the fewer constraints are,the higher energy efficiency is.…”
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Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting by Krzysztof Gajowniczek, Tomasz Ząbkowski

“…The contributions of this paper are threefold: (1) using data from 46 homes in Austin, Texas, the similarity measures from different time series are analyzed; (2) the optimal number of clusters for representing residential electricity use profiles is determined; and (3) an extensive load forecasting study using different segmentation-enhanced forecasting algorithms is undertaken. Finally, from the operator’s perspective, the implications of the results are discussed in terms of the use of clustering methods for grouping electrical load patterns.…”
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Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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Machine Learning Models for Predicting the Compressive Strength of Concrete with Shredded PET Bottles and M-Sand as Fine Aggregate by Altamashuddinkhan Nadimalla, Siti Aliyyah Masjuki, Abdullah Gubbi, Anjum Khan, Imran Mokashi

“…Machine learning is a critical subset of AI that deliberates the development of self-trained algorithms that use previous databases and analysis for result predictions. …”
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Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods by Ming-Yang Zhou, Xiao-Yu Li, Wen-Man Xiong, Hao Liao

“…In this paper, we use perturbation to quantify the robustness of countries using two renowned algorithms: method of reflections (MR) and fitness-complexity method (FCM). …”
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Damage Detection of Refractory Based on Principle Component Analysis and Gaussian Mixture Model by Changming Liu, Di Zhou, Zhigang Wang, Dan Yang, Gangbing Song

“…Acoustic emission (AE) technique is a common approach to identify the damage of the refractories; however, there is a complex problem since there are as many as fifteen involved parameters, which calls for effective data processing and classification algorithms to reduce the level of complexity. In this paper, experiments involving three-point bending tests of refractories were conducted and AE signals were collected. …”
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A Digital Twin of Hot Pumping Waxy Oil Through a Main Pipeline by Uzak Zhapbasbayev, Timur Bekibayev, Gaukhar Ramazanova, Zhibek Akasheva

“…The mathematical model of the software describes the process of hot pumping waxy oil regarding heat exchange with the environment. The intelligent algorithms of the SmartTranPro 1.7.1 Software were used to determine the actual dependencies of the digital twins of the objects, hydraulic parameters, and heat transfer for the Kassymov–Bolshoi Chagan hot main pipeline, which has a length of 450 km. …”
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Prenatally Diagnosed Testicular Torsion: A Rare Condition That Causes Dilemma in Management by Michael Gerbo, Chad Crigger, Yasamin Samadi, Michael C. Ost, Osama Al-Omar

“…As a result, incidence is unknown, and there exists no consensus regarding the pathophysiology of this phenomenon nor universally recognized algorithms and guidelines regarding its diagnosis and management. …”
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A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods by Cheng Chen, John A. Ozolek, Wei Wang, Gustavo K. Rohde

“…We show that the performance of our approach in tissue segmentation tasks in magnetic resonance and histopathology microscopy images, as well as nuclei segmentation from fluorescence microscopy images, is similar to or better than several algorithms specifically designed for each of these applications.…”
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