查看更多>>摘要：Emotion classification is an attractive research, emotion classification based on machine learning has broad application prospects in the field of computer. It is particularly important to construct an effective and accurate algorithm to extract emotional features from subjective texts, and classify them into corresponding emotional categories. In this paper, we implement a novel classification system for identifying emotions in a positive and negative corpus dataset. The corpus contains hotel reviews of Chinese emotion mining, and we choose 1000 positive and 1000 negative corpus as the dataset for analysis. We first preprocess the positive and negative texts, and after obtaining the characteristic word text of positive and negative corpus, we use Word2Vec model to transform the sentence into a numerical vector. We regard the obtained feature word vector as a time series, and adopt three multifractal analysis on the time series, such as multifractal detrended fluctuation analysis (MF-DFA), Multifractal detrended moving average (MF-DMA), and Multifractal detrended weighted average algorithm of historical volatility (MF-DHV). After extracting the Hurst exponents of the vector time series, we put the features as the input vector into SVM for classification analysis. We utilize four key values such as Accuracy (Acc), Precision (P), Recall (R) and F-score (F-1) to evaluate the classification experiments. The results suggest that Word2Vec-MF-DHV-SVM model is more effective and competitive in extracting information from corpus numerical vector. (c) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：The precision and stability of the microresonators can be affected by their nonlinear vibrational behaviors. So, the main objective of this paper is to predict the nonlinear dynamic phenomena in the electrostatically actuated microresonators. In the framework of the Von Karman's theory and the EulerBernoulli beam model, the nonlinear governing equations of motion are developed using the Hamilton's principle. Also, the coupling of lateral and longitudinal vibrations is considered. The governing partial differential equations are discretized by means of the single-mode Galerkin's method and solved using the Runge-Kutta method. The influences of various system parameters such as the actuation frequency, lateral-longitudinal coupling, amplitude of the ac voltage and the flexural rigidity on the response of the microresonator are investigated. The bifurcation diagrams, power spectra analysis, Poincare' map, phase plane portrait, maximum Lyapunov exponent and the Melnikov function are employed to inspect the chaotic behavior of the microresonator. The results indicate that, the vibrational behaviors of the microresonator include 2T-periodic, 4T-periodic, 7T-periodic, quasi-periodic and chaotic motions. Also, at low actuation frequency, considering the longitudinal coupling effects makes a substantial difference in the routes to chaos and vibrational response of microresonator. So, optimization and performance improvements of microresonator can be realized by the results of this paper.(c) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：Inspired by the non-autonomous chaos system and the transient chaotic oscillation, based on the chaos systems of the Lorenz family, the system structure, parameters, and orders are adjusted, and the damping oscillation, sustained chaotic oscillation, transient chaotic oscillation, and chaotic oscillation with multiple chaotic trajectories are found. Firstly, the constrain conditions of the system parameters and fractional orders are derived. Secondly, one external driving force signal and two control parameters are added to the system, different dynamic behaviors of the system under the excitement of different types, features of the external driving force signals are analyzed, simulated, and discussed. The phase diagram, bifurcation diagram, and Lyapunov exponents, etc are adopted for analysis. Finally, based on the adjusted fractional-order nonlinear systems, a kind of signal detection scheme that can be used under a strong noise environment is designed, some key information of the signal to be detected can be acquired. The simulation results show the effectiveness of the designed signal detection scheme.(c) 2022 Published by Elsevier Ltd.
查看更多>>摘要：A B S T R A C T The research of information dissemination on Weibo(a twitter-like service in China) can help us to better understand the trend of network propagation, and the study of core users on the Internet is of great significance to the control of network public opinion. First, this paper identifies the core users of each tweet by classifying different Weibo events and analyzing its information fragments, information coupling, and propagation hierarchy based on the content and propagation relationship of Weibo news. Furthermore, a new Weibo network information dissemination model was constructed based on the propagation relationship of Weibo users and the classical infectious disease model. Then, according to the propagation pattern of Weibo news, the propagation scale of a single tweet is predicted, and this paper studied the mechanism and effects (impulse effect, clock effect, and herding effect) and the scale of propagation of Internet users in online information dissemination. Finally, the authors conducted simulations in a scale free network and, meanwhile, compared the results with real Weibo propagation data. The results show that the propagation model proposed in this paper is not only reliable and effective, but also can predict the propagation scale of information on Weibo.(c) 2022 Elsevier Ltd. All rights reserved.
Seadawy, Aly R.Rizvi, Syed T. R.Mustafa, B.Ali, K....
16页
查看更多>>摘要：In this paper, we study the cubic-quintic nonlinear Schrodinger equation (CQ-NLSE) to describe the propagation properties of nonlinear periodic waves (PW) in an optical fiber. We find chirped periodic waves (CPW) with some Jacobi elliptic functions (JEF). We also obtain some solitary waves (SW) like dark, bright, hyperbolic and singular solitons. The chirp that corresponds to each of these optical solitons is also determined. The pair intensity is shown to be related to the nonlinear chirp, which is determined by self frequency shift and pause self-steepening (SS). The shape of profile for these waves will also be display. (c) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：In [M.G. Ri and C.H. Yun, Smoothness and fractional integral of hidden variable recurrent fractal interpolation function with function vertical scaling factors, Fractals 29(6) (2021) 2150136], the authors proved that the partial and mixed Riemann-Liouville fractional integrals of bivariable hidden variable recurrent fractal interpolation function(HVRFIF) with function scaling factors are HVRFIFs. As its continuation, in this paper, we show that Riemann-Liouville fractional derivatives of one variable and bivariable HVRFIFs are HVRFIFs under certain conditions. We also derive the relationship between the order of fractional calculus and the upper box dimension of its graph. To do it, firstly, we prove that Riemann-Liouville fractional derivative of one variable HVRFIF is HVRFIF. Secondly, we obtain estimation of the upper box dimension of the graph of one variable HVRFIF and derive the relationship between the upper box dimension and the order of fractional calculus. Finally, in the similar way to one variable, we show that the partial and mixed Riemann-Liouville fractional derivatives of bivarible HVRFIF are HVRFIFs. (C) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：A B S T R A C T In this paper, complex dynamics of Kopel model with nonsymmetric response between oligopolists are discussed. The research show that for the nonsymmetric model fixed point may undergo fold, transcritical, pitchfork and Neimark-Sacker bifurcation when satisfying some specific parameter combinations. The research also show us that effects from the rivals may incur more complex dynamics than self-adjust. During the process of numerical simulation, different combinations of parameter are chosen to show multiple-period phenomenon, the change of stability and the transition of different dynamical behaviors.(c) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：The influence of social diversity on cooperation promotion has been frequently studied in the literature. This work classifies the diversity into strong and weak based on its impact on payoffs. Strong diversity is typically known to the players and relates to, for example, the scope of the players' neighborhoods. In contrast, weak diversity's impact is irrelevant to the payoff and thus may be ignored by the agents. In this work, a model with both strong and weak diversity is set up to study the impact of weak diversity in the presence of strong diversity. Additionally, a conformity-conflict model (i.e., a model with a designed boundary of weak diversity) is used to study the weak diversity's impact on the level of cooperation among agents. While strong diversity defines basic cooperation patterns, weak diversity adds extra influence on the cooperation but depends on the players' payoff sensitivity. When the dilemma strength is low, weak diversity enables the cooperation level to increase gradually over a long period. Simulation results highlight a specific pattern: the clusters formed at the equilibrium may be "distorted" into expanding ones due to the impact of the weak diversity boundary. Such propagation of cooperation explains the impact of weak diversity on the global change in cooperation. Thus, weak diversity allows modeling a gradual variation in features using deterministic evolutionary games. Such an impact of weak diversity can also be observed in the network structure with long-range connections (such as the small-world structure). (C) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：In this paper, we extend the model proposed in Benchekroun, H. and Martin-Herran, G. (2016). The impact of foresight in a transboundary pollution game. European Journal of Operational Research, 251(1), 300-309, to a more general one, in which emission permits trading and abatement policy are taken into consideration, to examine the effect of foresight on the optimal emission levels and optimal abatements in a transboundary industrial pollution game. In our model, a foresighted country chooses strategies to maximize the long-term payoff, while a myopic player ignores the impact of his decisions on the future evolutions of payoff and pollution stock. Considering the emission permits price and abatement costs, we obtain the abatement levels, the emission levels, the value functions, and the trajectories of pollution stocks of the farsighted and myopic countries, respectively. Consisting with the previous, our results show that the revenues obtained from farsighted behavior are larger than those from myopia, and the total emission of myopic countries is more than that of the farsighted ones. The total emissions will decrease with the increasing of abatement cost coefficients and emission permits price. New results are from two aspects. On the one hand, for a myopic country, the larger the abatement cost coefficients are, the smaller the willingness to acquire foresight is. On the other hand, when a myopic country acquires foresight, the other myopic countries still do not implement the abatement, while the farsighted countries should improve their abatement levels.
NSTL
Elsevier