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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 massingcrowd become more and more. This paper uses social risk to quantify the risk.To 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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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: a novel model known as the shadow obstacle model to generate a realistic corner-turning behavior in crowdBy combining psychological and physical forces together, a full crowd simulation framework is establishedto provide a more realistic crowd simulation.

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.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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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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Understanding and addressing the environmental risk of microplastics

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1612-5

Abstract: Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on

Keywords： Emerging contaminants Microplastics Environment risk Health effect

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Ecological Risk Management of Drinking Water Project: The Case Study of Kunming City

Ji-liang Zheng,Jun Hu,Xuan Zhou,Ching Yuen Luk

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 311-319 doi: 10.15302/J-FEM-2015045

Abstract: The ecological risk management of drinking water project is an important means of ensuring the safetyBased on ecological risk assessment and management theories, this paper establishes an ecological riskIts ecological risk management of drinking water has attracted the attention of both the local government

Keywords： drinking water project ecological risk ecological risk assessment risk management

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Risk Matrix Method and Its Application in the Field of Technical Project Risk Management

Zhu Qichao,Kuang Xinghua,Shen Yongping

Strategic Study of CAE 2003, Volume 5, Issue 1, Pages 89-94

Abstract:

Technical project risk management has always been given great concern by the Department of DefenseThis paper systematically introduces risk matrix and its application, which is one of the most popularrisk management technologies in the field of DoD acquisition projects risk management.As a conclusion, this paper evaluates the usability of risk matrix when to be used to assess and mitigaterisk management.

Keywords： risk matrix risk management project management

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Bioaerosol emissions variations in large-scale landfill region and their health risk impacts

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1593-9

Abstract:

● The airborne bacteria in landfills were 4–50 times higher than fungi.

Keywords： Microbial aerosols Landfill sites Health risk assessment CALPUFF

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Epidemic obesity in children and adolescents: risk factors and prevention

Eun Young Lee, Kun-Ho Yoon

Frontiers of Medicine 2018, Volume 12, Issue 6, Pages 658-666 doi: 10.1007/s11684-018-0640-1

Abstract: The complexity of risk factors for developing obesity among children and adolescents leads to difficultythat of obesity, an effective prevention strategy is to focus on overweight youth, who are at high riskMultifaceted, comprehensive strategies involving behavioral, psychological, and environmental risk factors

Keywords： obesity children adolescents epidemiology risk factor prevention

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Optimal risk allocation in alliance infrastructure projects: A social preference perspective

Xiang DING, Qian LI

Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 326-336 doi: 10.1007/s42524-020-0145-x

Abstract: The mechanism of risk allocation is designed to protect all stakeholders, and it is vital to projectFew research has focused on partners’ social preferences affecting the output of risk allocation.risk-management effort simultaneously.Results show that an AM’s IA significantly affects risk allocation between AL and AM.preference negatively affects AL’s optimal risk-sharing ratio.

Keywords： public project contract design risk sharing inequity aversion governance