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BRAIN POTENTIALS OF ONLINE CONTENT EMOTIONALITY ON SOCIAL MEDIA
Yujing Huang,Jia Jin,Hao Ding,Yizhou Shao,Bonai Fan,Qingguo Ma 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
Introduction Current research investigated whether emotionality of content would facilitate the possibility to share information on social media by using event-related potentials. Theoretical development Emotionality is an excitatory state which evokes autonomic nervous system. Previous studies suggested that stimuli with high emotionality elicited increased P100/P200 amplitudes relative to stimuli with low emotionality (Huang & Luo, 2006). Research design We tested the purpose in an affective priming paradigm in which participants were exposed to online content (i.e. the prime stimulus) followed by a stimulus (i.e. the target stimuli) from International Affective Picture System. Participants were required to judge whether the target was neutral white picture. Next, a nine-point Likert scale was followed to assess the level of emotionality for online content. Result and conclusion We observed a congruency effect in the priming effect. More importantly, early brain potentials P100/P200 were higher when participants were exposed to online content with more possibility to share than online content with less possibility to share. This finding could be explained by the response level account theory (Fazio, 2001). This study provides an insight to neural mechanism underlying emotionality of online content.
Yujing Xu,Chaoli Wang,Gang Wang,Xuan Cai,Luyan Xu,Chonglin Jing 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.12
When the actuator faults and the control directions are unknown, the difficulty of the asymptotically tracking control of the surface vessel will increase. In this paper, for actuator failures and unknown control directions, a distributed adaptive asymptotically synchronous tracking control law for multiple uncertain underactuated surface vessels (USVs) is proposed, which can achieve network connectivity and good tracking performance in a limited communication range. First, a distributed nonlinear error surface is introduced to achieve synchronous tracking between USVs and maintain the initial connectivity patterns. Second, a conditional inequality is proposed to solve the problems of unknown actuator failures and unknown control directions. Then, combined with the derived technical lemmas and Barbalat’s lemma, the stability of the closed loop system is proved by the Lyapunov method. Finally, a simulation example verifies the theoretical results.
Yujing Jin,Wenhai Qi,Guangdeng Zong 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.6
In this paper, the finite-time synchronization (FTS) of semi-Markov neural networks (S-MNNs) with time-varying delay is presented. According to the Lyapunov stability theory, a mode-dependent LyapunovKrasovskii functional (LKF) is constructed. Compared with the traditional static event triggered scheme (ETS), a dynamic ETS is adopted to adjust the amount of data transmission and reduce the network burden. By using thegeneral free-weighting matrix method (F-WMM) to estimate a single integral term, a less conservative conclusion is proposed in standard linear matrix inequalities (LMIs). Finally, under the comparison of the static ETS and the dynamic ETS, a simulation example verifies the superiority of this method.
State Feedback Design for Nonlinear Quadratic Systems with Randomly Occurring Actuator Saturation
Yujing Shi,Yueru Li,Shanqiang Li,Hongyu Liu 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3
This paper is concerned with the problem of state feedback control for nonlinear quadratic systemswith randomly occurring actuator saturation. The considered actuator saturation is assumed to occur in a randomway, and the randomly occurring rates of the saturation are time-varying with known upper and lower bounds. Byusing the Lyapunov approach, a sufficient condition is given to guarantee that the closed-loop system is locallyasymptotically stable in mean-square sense. The desired controller gain can be obtained in terms of the solutionsto certain linear matrix inequalities. Finally, a simulation example is provided to show the effectiveness of theproposed control scheme.
Yujing Wang,Weiwei Guo,He Xia,Shanshan Wang,Man Xu 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.33 No.3
Considering the wind loads and track irregularity as external excitation, the wind-train-bridge dynamic analysis model considering the longitudinal freedom of train is established in the present study. In the model, the wind load of trainbridge system under the train-induced wind field and the combined wind field is obtained by employing Computational Fluid Dynamics (CFD) method. With the CRH2 high-speed train and a 10-span simply-supported box girder bridge as an example, the whole history of the train running on the bridge under the combined effect of train-induced wind and crosswind is simulated to analyze the dynamic response of the train-bridge system. In addition, the operational safety indicators of the train are evaluated. According to the obtained results, the dynamic response of vehicles and bridges increases with the train speed without the consideration of the crosswind. In the combined wind field, the train-induced wind exerts a greater impact on the dynamic response of the vehicle, but has a less influence on that of the bridge simultaneously. Moreover, the influence of wind velocity is greater than that of train speed. When the wind-train-bridge dynamic response analysis is carried out based on traditional methods, the calculated wind load of the train-bridge system is too high, making the calculated responses too large to be consistent with actual values.
Yujing Lv,Wenhua Zhang,Fan Wu,Huang Li,Yunsheng Zhang,Guodong Xu 한국콘크리트학회 2020 International Journal of Concrete Structures and M Vol.14 No.5
The previous researches on the degradation process of concrete under sulfate attack mainly focus on non-damaged concrete. It may lead to an excessive evaluation of the durability of the structure, which is detrimental to the safety of the structure. In this paper, three different damage degrees of concrete specimens with non-damaged (D0) and initial damage of 10% (D₁) and 20% (D₂) were prefabricated and subjected to sulfate attack and wetting–drying cycles. With the increase of sulfate attack cycles (0, 30, 60, 90, 120, 150 cycles), the changes in mass loss, relative dynamic modulus of elasticity, and the stress–strain curve were studied. The results show that the mass of the D0 specimen had been increasing continuously before 150 sulfate attack cycles. The mass of D₁ and D₂ had been increasing before 60 cycles, and decreasing after 60 cycles. At 150 cycles, the mass loss of D0, D₁, D₂ were − 1.054%, 0.29% and 3.20%, respectively. The relative dynamic modulus of elasticity (RDME) of D0 specimen increases continuously before 90 sulfate attack cycles. After 90 cycles, the RDME gradually decreases. However, for D₁ and D₂ specimens, the RDME began to decrease after 30 cycles. The damage degree has an obvious influence on the compressive strength and elastic modulus. For the D0 specimen, the compressive strength and elastic modulus increased continuously before 90 cycles and decreased after 90 cycles. The compressive strength and elastic modulus of D₁ and D₂ specimens began to decrease after 30 cycles. The stress–strain curves of concrete with different initial damage degrees were established, and the fitting results were good. Finally, based on the analysis of experimental data, the degradation mechanism of concrete with initial damage under the sulfate wetting–drying cycle was discussed.
Yujing Shi,Chen Wang,Shanqiang Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.8
This paper is concerned with the fixed-time tracking control problem for a class of uncertain strictfeedback nonlinear systems with external disturbances and unmeasured states. The fuzzy state observer and fuzzy logic systems (FLSs) are adopted to estimate the unmeasurable states and approximate the unknown nonlinear functions, respectively. To improve the performance of the system, we attempt to introduce a disturbance observer into the design of the controller. A first-order filter is applied to avoid the computational complexity problem in the backstepping scheme. Subsequently, the fixed-time stability of the closed-loop system is guaranteed in the light of the Lyapunov stability theory, and the tracking error can converge to an adjustable domain under the proposed control method. Compared with the existing finite-time control strategy, the settling time of the presented fixed-time control scheme is unrelated to the initial conditions of the system. Finally, two simulation experiments are given to illustrate the effectiveness of the developed control approach.