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Shadow obstacle model for realistic corner-turning behavior in crowd simulation

Gao-qi HE,Yi JIN,Qi CHEN,Zhen LIU,Wen-hui YUE,Xing-jian LU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3, Pages 200-211 doi: 10.1631/FITEE.1500253

Abstract: paper describes a novel model known as the shadow obstacle model to generate a realistic corner-turning behaviorin crowd simulation.By combining psychological and physical forces together, a full crowd simulation framework is establishedto provide a more realistic crowd simulation.We demonstrate that our model produces a more realistic corner-turning behavior by comparison with real

Keywords： Corner-turning behavior Crowd simulation Safety awareness Rule-based model

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Detecting interaction/complexitywithin crowd movements using braid entropy Research Papers

Murat AKPULAT, Murat EKİNCİ

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6, Pages 849-861 doi: 10.1631/FITEE.1800313

Abstract:

The segmentation of moving and non-moving regions in an image within the field of crowd analysis isa crucial process in terms of understanding crowd behavior.However, these segments may not in turn indicate the same types of behavior in each region.The purpose of this study is to better understand crowd behavior by locally measuring the degree of interaction

Keywords： Crowd behavior Motion segmentation Motion entropy Crowd scene analysis Complexity detection Braid entropy

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A platform of digital brain using crowd power Article

Dongrong XU, Fei DAI, Yue LU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 78-90 doi: 10.1631/FITEE.1700800

Abstract: A powerful platform of digital brain is proposed using crowd wisdom for brain research, based on theUsing big data, crowd wisdom, and high performance computers may significantly enhance the capability

Keywords： Artificial intelligence Digital brain Synthesis reasoning Multi-source analogical generating Crowd wisdom

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Research on Social Risk of the Massing Crowd in Public Venues

Li Jianfeng,Liu Mao,Sui Xiaolin

Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 88-93

Abstract: development of cities becomes more quick, the accidents happened in public venues resulted form massing crowdTo use the F - N curve, it is able to analyse the social risk of crowd massing venues.

Keywords： crowd massing risk social risk F-N curve quantitative risk analysis

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Structure Analysis of Crowd Intelligence Systems

Yunhe Pan

Engineering 2023, Volume 25, Issue 6, Pages 17-20 doi: 10.1016/j.eng.2021.08.016

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Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd Research Article

Jiaqi GAO, Jingqi LI, Hongming SHAN, Yanyun QU, James Z. WANG, Fei-Yue WANG, Junping ZHANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2, Pages 187-202 doi: 10.1631/FITEE.2200380

Abstract: has important applications in public safety and pandemic control. A robust and practical system has to be capable of continuously learning with the newly incoming domain data in real-world scenarios instead of fitting one domain only. Off-the-shelf methods have some drawbacks when handling multiple domains: (1) the models will achieve limited performance (even drop dramatically) among old domains after training images from new domains due to the discrepancies in intrinsic data distributions from various domains, which is called catastrophic forgetting; (2) the well-trained model in a specific domain achieves imperfect performance among other unseen domains because of domain shift; (3) it leads to linearly increasing storage overhead, either mixing all the data for training or simply training dozens of separate models for different domains when new ones are available. To overcome these issues, we investigate a new task in incremental domain training setting called lifelong . Its goal is to alleviate catastrophic forgetting and improve the generalization ability using a single model updated by the incremental domains. Specifically, we propose a self-distillation learning framework as a benchmark (forget less, count better, or FLCB) for lifelong , which helps the model leverage previous meaningful knowledge in a sustainable manner for better to mitigate the forgetting when new data arrive. A new quantitative metric, normalized Backward Transfer (nBwT), is developed to evaluate the forgetting degree of the model in the process. Extensive experimental results demonstrate the superiority of our proposed benchmark in achieving a low catastrophic forgetting degree and strong generalization ability.

Keywords： Crowd counting Knowledge distillation Lifelong learning

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Aggregated context network for crowd counting

Si-yue Yu, Jian Pu,51174500148@stu.ecnu.edu.cn,jianpu@fudan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11, Pages 1535-1670 doi: 10.1631/FITEE.1900481

Abstract: has been applied to a variety of applications such as video surveillance, traffic monitoring, assembly control, and other public safety applications. Context information, such as perspective distortion and background interference, is a crucial factor in achieving high performance for . While traditional methods focus merely on solving one specific factor, we aggregate sufficient context information into the network to tackle these problems simultaneously in this study. We build a fully convolutional network with two tasks, i.e., main density map estimation and auxiliary . The main task is to extract the multi-scale and spatial context information to learn the density map. The auxiliary task gives a comprehensive view of the background and foreground information, and the extracted information is finally incorporated into the main task by late fusion. We demonstrate that our network has better accuracy of estimation and higher robustness on three challenging datasets compared with state-of-the-art methods.

Keywords：人群计数；卷积神经网络；密度估计；语义分割；多任务学习

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Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attractedIn particular, due to the rapid development of the sharing economy, crowd intelligence not only becomesIn this paper, we survey existing studies of crowd intelligence.Then, we introduce four categories of representative crowd intelligence platforms.Finally, we discuss promising future research directions of crowd intelligence.

Keywords： Crowd intelligence Artificial intelligence 2.0 Crowdsourcing Human computation

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A novel convolutional neural network method for crowd counting Research Articles

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8, Pages 1119-1266 doi: 10.1631/FITEE.1900282

Abstract: Crowd , in general, is a challenging task due to the large variation of head sizes in the crowds.networks, i.e., a foreground-segmentation convolutional neural network (FS-CNN) as the front end and a crowd-regression

Keywords： Crowd counting Density estimation Segmentation prior map Uniform function

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Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Frontiers of Engineering Management 2015, Volume 2, Issue 2, Pages 131-136 doi: 10.15302/J-FEM-2015037

Abstract: , construction accidents frequently happen, which are significantly attributable to workers’ unsafe behaviorBehavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior.This paper introduces the study on big data-based metro construction behavior modification, aiming toFirst, the behavior modification pushing mechanism based on content-based personalized recommendationSecondly, the development of behavior modification system of metro construction (BMSMC) is introduced

Keywords： big data unsafe behavior behavior modification behavior-based safety (BBS) unsafe behavior rate

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Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Frontiers in Energy 2014, Volume 8, Issue 3, Pages 315-321 doi: 10.1007/s11708-014-0331-9

Abstract: Ellipsoidal particles flowing in the hopper were simulated by using the discrete element method (DEM), and described by the multi-element method. The contact detection algorithm and equations for ellipsoidal particle motion in hopper were developed. And the simulation results were confirmed by experiment. Additionally, the mass flow rate, pressure distribution and velocity distribution of two kinds of particles were examined. The results show that the mass flow rate of ellipsoidal particles is smaller than that of spherical particles. There is a maximum value of pressure drop at the top of the junction. Besides, the pressure drop decreases with the discharging time increasing. The velocity of spherical particle is larger than that of ellipsoidal.

Keywords： discrete element method ellipsoidal particle flow behavior hopper

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A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Frontiers of Structural and Civil Engineering Pages 1021-1032 doi: 10.1007/s11709-023-0952-3

Abstract: soil deformation mechanism and Poulos’ solution for pile–soil interaction to investigate the bending behaviorFurthermore, the effect of embedding a pile into a firm ground layer on the bending behavior was investigated

Keywords： bending behavior pile embankment soil−structure interaction failure mode

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Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Frontiers of Structural and Civil Engineering Pages 884-900 doi: 10.1007/s11709-022-0912-3

Abstract: In this study, the weakening behavior of waterproof performance was investigated in the joints of shield

Keywords： shield tunnel waterproof performance horizontal transverse deformation joint opening weakening behavior

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Effects of herding behavior of tradable green certificate market players on market efficiency: Insights

Frontiers in Energy 2023, Volume 17, Issue 2, Pages 266-285 doi: 10.1007/s11708-021-0752-1

Abstract: efficiency is reflected in stimulating renewable energy investment, but may be reduced by the herding behaviorheterogeneous agents, communication structure, and regulatory rules to explore the characteristics of herding behaviorThe results show that the evolution of herding behavior reduces information asymmetry and improves marketMoreover, the herding behavior may evolve to an equilibrium where the revenue of market players is comparable

Keywords： tradable green certificate herding behavior evolution heterogeneous agent model complex network

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Adsorption behavior of antibiotic in soil environment: a critical review

Shiliang WANG,Hui WANG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4, Pages 565-574 doi: 10.1007/s11783-015-0801-2

Abstract: Antibiotics are used widely in human and veterinary medicine, and are ubiquitous in environment matrices worldwide. Due to their consumption, excretion, and persistence, antibiotics are disseminated mostly via direct and indirect emissions such as excrements, sewage irrigation, and sludge compost and enter the soil and impact negatively the natural ecosystem of soil. Most antibiotics are amphiphilic or amphoteric and ionize. A non-polar core combined with polar functional moieties makes up numerous antibiotic molecules. Because of various molecule structures, physicochemical properties vary widely among antibiotic compounds. Sorption is an important process for the environment behaviors and fate of antibiotics in soil environment. The adsorption process has decisive role for the environmental behaviors and the ultimate fates of antibiotics in soil. Multiply physicochemical properties of antibiotics induce the large variations of their adsorption behaviors. In addition, factors of soil environment such as the pH, ionic strength, metal ions, and organic matter content also strongly impact the adsorption processes of antibiotics. Review about adsorption of antibiotics on soil can provide a fresh insight into understanding the antibiotic-soil interactions. Therefore, literatures about the adsorption mechanisms of antibiotics in soil environment and the effects of environment factors on adsorption behaviors of antibiotics in soil are reviewed and discussed systematically in this review.

Keywords： adsorption antibiotics environment factors soil