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Jiaqi Dong,Boxin Wang,Xuexin Yan,Xinchuan Xu,Guangping Xiao,Qingbo Yu,Meng Yao,Qing Wang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.5
The rebound index Cr is an important design parameter in engineering construction, and its determination is cumbersome and susceptible to errors. Explaining the macroscopic rebound characteristic parameter Cr from the perspective of microscopic mechanism is an important research area that is addressed in this study. In this paper, the different soil parameters, including the Cr parameter and the physical parameters (void ratio e, liquid limit water contentwL, and plasticity index Ip), have been determined through experiments for the undisturbed clay of Chongming East Shoal (CES), Shanghai. Further, scanning electron microscopy (SEM) imaging was used to analyze the microstructural features. Through SEM, the grey correlation degree, the average abundance of structural units ACp and the average equivalent diameter of pores ADv were determined as the soil microstructure parameters with the most significant correlation with Cr. The predictive analysis model of Cr was then carried out combined with the PSO-SVM algorithm. In order to evaluate the influence of microscopic parameters of soil on the prediction accuracy, four sets of input parameter combinations were used. The results indicate the high prediction accuracy of the developed model. Sensitivity analysis was also carried out, which showed that the sensitivity of Cr to ACp and ADv was significantly lower than e; however, the difference from wL and Ip was small, indicating that it is imperative to consider microscopic parameters while predicting Cr. This study, thus, provides a basis and method for predicting the rebound index of soil from the microstructure perspective.
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Parking Lot Connection Algorithm under the Influence of Regional Attraction and Demand
Dong Nian,Shouming Qi,Jiaqi Ma 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.7
The study concerns on building a network used to provide a scientific and comprehensive alternative parking lot choice scheme when the driver's preferred parking lot is full. A parking supply-demand model is created combining with improved parking generation rate method and multiplication-weighted Voronoi diagram. Then the alternative relationship between two parking lots is determined according to the model, which can be materialized as the edge of the network. In the case, 49 parking lots in Nangang district, Harbin are used to set the parking lot network using the traditional and improved parking generation method to analyze their complex network basic parameters. The result is compared with the globally coupled network and nearest-neighbor coupled network. Data analysis shows that the parking lot determined by the connection algorithm has strong robustness, which means it is stable when facing a random attack. It also has a balanced performance in mean node degree, clustering coefficient, and other parameters comparing with the other two kinds of networks. It suggests that this method is a feasible method to select alternative parking lots when drivers cannot take service from their first parking choice.
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Jiaqi Zeng,Wenchao Li,Min Lei,Chunfa Dong,Kui Zhou 한국섬유공학회 2023 Fibers and polymers Vol.24 No.10
Polycaprolactone (PCL) exhibits limited applicability in the application of biological tissue engineering scaffolds due to its lower surface hydrophilicity and surface energy. In this paper, PCL crystal lamellae scaffolds with different surface roughness were fabricated by immersing electrostatic direct-written PCL scaffolds in PCL/Amyl acetate (AC) solution for 15 , 30 , 60 and 120 min, respectively, using solution incubation for crystallization. The rough scaffolds were subsequently coated with polydopamine (PDA) for 4 h, 8 h, 12 h and 16 h. Surface morphology, chemical properties and water contact angle tests were performed on both types of scaffolds. To evaluate the feasibility of the modified scaffold as a bionic scaffold, L929 mouse fibroblasts were inoculated on the surface of the scaffold and cultured for 1, 3 and 7 days. When compared to the untreated scaffolds, the surface of the scaffolds treated for 15 , 30 , 60 , and 120 min, respectively exhibited a distinct PCL crystal lamellae structure, accompanied by a significant increase in surface roughness and corresponding water contact angle elevation. In the cell experiments, the 30 min treatment group demonstrated superior cellular activity compared to the other experimental groups. The water contact angle of the PDA-modified scaffolds decreased over time with extended treatment durations, ultimately reaching 0°. In the cell experiments, the 8 h treatment scaffolds exhibited a more pronounced improvement in activity compared to the other groups. Based on these results, it can be concluded that the PDA-modified PCL crystal lamellae electrostatic direct-write scaffold promotes cell proliferation and differentiation, thereby facilitating tissue regeneration.
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董高志(Gaozhi Dong),余嘉祺(Jiaqi Yu),罗小茵(Xiaoyin Luo),吴晓茵(Xiaoyin Wu),吴钧埔(Junpu Wu),罗云(Yun Luo) YIXIN 출판사 2023 教育教学研究论丛 Vol.1 No.5
本研究采用大学生手机成瘾倾向量表、大学生学习投入量表、心理弹性量表简版和延迟满足量表对610 名大学生施测,旨在考察数字化转型背景下大学生手机依赖对学习投入的影响,以及心理弹性和延迟满足在其中的中介作用。研究发现:大学生手机依赖、学习投入、心理弹性与延迟满足两两显著相关;心理弹性和延迟满足分别在手机依赖与学习投入之间起中介作用;心理弹性和延迟满足在大学生手机依赖和学习投入间起链式中介作用。手机依赖不仅可以直接影响大学生的学习投入,还可以通过心理弹性和延迟满足间接影响大学生的学习投入。 This study tested 610 college students using the mobile phone addiction tendency scale, the college student learning engagement scale, the simplified version of the psychological resilience scale, and the delayed gratification scale. The aim was to examine the impact of mobile phone dependence on learning engagement among college students in the context of digital transformation, as well as the mediating role of psychological resilience and delayed gratification. Research has found that there is a significant correlation between mobile phone dependence, learning engagement, psychological resilience, and delayed gratification among college students; Psychological resilience and delayed gratification respectively mediate the relationship between mobile phone dependence and learning engagement; Psychological resilience and delayed gratification play a chain mediating role between mobile phone dependence and learning engagement among college students. Mobile phone dependence not only directly affects the learning engagement of college students, but also indirectly affects their learning engagement through psychological resilience and delayed gratification.
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Yang Guo,Jiaqi Dong,Yue Lin Smart Tourism Research Center 2023 Journal of smart tourism Vol.3 No.4
This study examines the factors influencing e-sports product consumption among Chinese e-sports game players. We focus on the popular game "King of Glory" and use surveys to collect player data. Our findings show that e-sports product characteristics significantly impact consumption experiences, while incentive factors also influence consumption willingness. External factors have minimal impact. Additionally, souvenir products and festival events are key in driving e-sports consumption. This research explores the consumption willingness of Chinese e-sports players, the world's largest consumer market. Understanding their needs can help companies develop targeted marketing strategies, unlocking the commercial potential of e-sports and promoting industry growth.
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A Sociable Human-robot Interaction Scheme Based on Body Emotion Analysis
Tehao Zhu,Zeyang Xia,Jiaqi Dong,Qunfei Zhao 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2
Many kinds of interaction schemes for human-robot interaction (HRI) have been reported in recent years. However, most of these schemes are realized by recognizing the human actions. Once the recognition algorithmfails, the robot’s reactions will not be able to proceed further. This issue is thoughtless in traditional HRI, but is thekey point to further improve the fluency and friendliness of HRI. In this work, a sociable HRI (SoHRI) scheme basedon body emotion analysis was developed to achieve reasonable and natural interaction while human actions werenot recognized. First, the emotions from the dynamic movements and static poses of humans were quantified usingLaban movement analysis. Second, an interaction strategy including a finite state machine model was designed todescribe the transition regulations of the human emotion state. Finally, appropriate interactive behavior of the robotwas selected according to the inferred human emotion state. The quantification effect of SoHRI was verified usingthe dataset UTD-MHAD, and the whole scheme was tested using questionnaires filled out by the participants andspectators. The experimental results showed that the SoHRI scheme can analyze the body emotion precisely, andhelp the robot make reasonable interactive behaviors.
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Progressive Filtering Approach for Early Human Action Recognition
Tehao Zhu,Yue Zhou,Zeyang Xia,Jiaqi Dong,Qunfei Zhao 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5
Human action recognition plays an important role in vision-based human-robot interaction (HRI). In many application scenarios of HRI, robot is required to recognize the human action expressions as early as possible in order to ensure a suitable response. In this paper, we proposed a novel progressive filtering approach to improve the robot’s performance in identifying the ongoing human actions and thus to enhance the fluency and friendliness of HRI. Human movement data were captured by a Kinect device, and then the human actions were constituted by the refined movement data using robust regression-based refinement. Motion primitive, including both spatial and temporal information concerning the movement, was considered as an improved representation of action features. Then, the early human action recognition was accomplished based on an improved locality-sensitive hashing algorithm, by which the ongoing input action can be classified progressively. The proposed approach has been evaluated on four datasets of human actions in terms of accuracy and recall curves. The experiments showed that the proposed progressive filtering approach achieves high recognition rate, and in addition, can make the recognition decision at an earlier stage of the ongoing action.
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