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Jie Yang, Weiqing Sun and Meiling Ma
Bulk power grid interconnection and the access of various smart devices make the current grid highly complex. Timely and accurately identifying the power grid operation state is crucial for monitoring the operation stability of the power grid. For this p...
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Denis V. Makarov, Pavel S. Petrov and Michael Yu. Uleysky
The problem of sound propagation in a shallow sea with a rough sea bottom is considered. A random matrix approach for studying sound scattering by the water?bottom interface inhomogeneities is developed. This approach is based on the construction of a st...
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Wanxing Sheng, Keyan Liu, Hongyan Pei, Yunhua Li, Dongli Jia and Yinglong Diao
In this paper, a reactive power optimization method based on historical data is investigated to solve the dynamic reactive power optimization problem in distribution network. In order to reflect the variation of loads, network loads are represented in a ...
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Hui Wang, Yuxi Cao, Guorui Wang, Peixian Li, Jia Zhang and Yongfeng Gong
We developed a GNSS-assisted InSAR phase unwrapping algorithm for large-deformation DInSAR data processing in coal mining areas. Utilizing the Markov random field (MRF) theory and simulated annealing, the algorithm derived the energy function using MRF t...
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Zheping Yan, Lidong Yue, Jiajia Zhou, Xiaoli Pan and Chao Zhang
In this paper, the formation coordination control of discrete-time distributed leaderless multiple autonomous underwater vehicle (AUV) system with double independent position?velocity communication topology and control inputs on a nonconvex set is studie...
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Juan Li, Huadong Zhang, Tao Chen and Jiaqi Wang
Aiming at the control problem of autonomous underwater vehicle (AUV) pilot-following formation with communication delay and communication interruption, a controller based on feedback linearization and the PD control method is designed in this paper. Firs...
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Weihua Fu, Cheng Wang and Jianwei Chen
Modal parameters can reflect the dynamic characteristics of the structure and can be used to control vibration. To identify the operational modal parameters of linear slow-time-varying structures only from non-stationary vibration response signals, a met...
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Marwane El Alaoui, Elie Bouri and Nehme Azoury
We examined the determinants of the U.S. consumer sentiment by applying linear and nonlinear models. The data are monthly from 2009 to 2019, covering a large set of financial and nonfinancial variables related to the stock market, personal income, confid...
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Peiyan Yuan, Xiaoxiao Pang, Ping Liu and En Zhang
The performance of mobile opportunistic networks mainly relies on collaboration among nodes. Thus far, researchers have ignored the influence of node sociality on the incentive process, leading to poor network performance. Considering the fact that follo...
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Li You, Wenjin Wang and Xiqi Gao
In this paper, we investigate energy-efficient multicast precoding for massive multiple-input multiple-output (MIMO) transmission. In contrast with most previous work, where instantaneous channel state information (CSI) is exploited to facilitate energy-...
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Qing Zhang, Yuhu Yang
Pág. 153 - 160
The randomness of a high-speed elevator car system?s parameters was caused by manufacturing and installation error. In order to more accurately evaluate the dynamic behavior of the elevator car, the compound vibration problems containing both random exci...
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Oleksandr Makoveichuk
Pág. 55 - 68
The subject matter of the article is the informational technology of designing and using of augmented reality visual information structures. The goal of the study is to develop the informational technology of designing and using of augmented reality visu...
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Oleksandr Makoveichuk
Pág. 55 - 68
The subject matter of the article is the informational technology of designing and using of augmented reality visual information structures. The goal of the study is to develop the informational technology of designing and using of augmented reality visu...
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Shubo Hu, Zhengnan Gao, Jing Wu, Yangyang Ge, Jiajue Li, Lianyong Zhang, Jinsong Liu and Hui Sun
In China, with the increasing permeability of wind power, the power supply capacity is enough overall, but has shortage in partial-time. During peak hours, the capability of wind power consumption is poor and the power balance becomes more difficult. In ...
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Bhargav Prakash, Gautam Kumar Baboo and Veeky Baths
Brain connectivity is studied as a functionally connected network using statistical methods such as measuring correlation or covariance. The non-invasive neuroimaging techniques such as Electroencephalography (EEG) signals are converted to networks by tr...
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Elena Kuleshova, Anatoly Marukhlenko, Vyacheslav Dobritsa and Maxim Tanygin
Currently, the following applications of the theory of cellular automata are known: symmetric encryption, data compression, digital image processing and some others. There are also studies suggesting the possibility of building a public key system based ...
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Robin Marita Aondo
Pág. 114 - 123
This research paper aim was to establish the effectiveness of taxpayer education on tax compliance for SMEs in Kitengela town. There are reasons why KRA never met its revenue targets and the revenue collected has never surpassed the target set aside by t...
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Jair J. Pineda-Pineda, C. T. Martínez-Martínez, J. A. Méndez-Bermúdez, Jesús Muñoz-Rojas and José M. Sigarreta
Water is a basic natural resource for life and the sustainable development of society. Methods to assess water quality in freshwater ecosystems based on environmental quality bioindicators have proven to be low cost, reliable, and can be adapted to ecosy...
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Peter C. B. Phillips, Xiaohu Wang and Yonghui Zhang
The usual t test, the t test based on heteroskedasticity and autocorrelation consistent (HAC) covariance matrix estimators, and the heteroskedasticity and autocorrelation robust (HAR) test are three statistics that are widely used in applied econometric ...
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