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A Modification of Evacuation Time Computational Model andSimulation Comparison Analyses With Olympic Stadium

Zhang Qingsong,Liu Mao,Zhao Guomin

Strategic Study of Chinese Academy of Engineering 2007, Volume 9, Issue 4,   Pages 64-69

Abstract: EDTM uses crowd flow theory and discrete computational methods to identify various width of egress thatare available to the occupants for movement,  which is more accurate and practicable because the crowdflow rate is variable, while the crowd flow rate as the function of crowd density based on the empiricalrelations between density and velocity of crowd movement.

Keywords： evacuation time     crowd flow rate     egress     simulation     Olympic stadium    

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Mechanism and control factors of hydrate plugging in multiphase liquid-rich pipeline flow systems: a

Frontiers in Energy   Pages 747-773 doi: 10.1007/s11708-022-0830-z

Abstract: pipelines owing to the low-temperature and high-pressure environment, although requiring the cooperation of flowrate, water content, gas-liquid ratio, and other specific factors.In addition, it summarized the influences of fluid flow and water content on the risk of hydrate blockageIn general, flow rate was implicated in the regulation of blockage risk through its characteristic toaffect sedimentation tendencies and flow patterns.

Keywords： hydrate     flow rate     water content     mechanism of pipeline blockage     rich liquid phase system    

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Structure Analysis of Crowd Intelligence Systems

Yunhe Pan,

Engineering doi: 10.1016/j.eng.2021.08.016

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Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: method is presented in this paper in order to estimate and predict the periodicity of the influent flowrate trend and rain events.The results show that 1) for both of the two plants, the periodicity affects the flow rate and NH concentrationsin different cycles (especially cycles longer than 1 day); 2) when the flow rate and NH concentrationsrate less obvious in intensive rainy periods.

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency analysis     wastewater treatment    

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Influence of different oil feed rate on bituminous coal ignition in a full-scale tiny-oil ignition burner

Chunlong LIU, Qunyi ZHU, Zhengqi LI, Qiudong ZONG, Xiang ZHANG, Zhichao CHEN

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 406-412 doi: 10.1007/s11708-013-0266-6

Abstract: Through reacting-flow experiments performed on a full-scale experimental setup, the influence of differentoil flow rates on bituminous coal combustion as well as flow rates without coal feed was analyzed.second combustion chambers, these distributions remained almost unchanged under a constant coal feed rateHowever on the burner centerline, distributions increased slightly with increasing flow rate.At the same coal feed rate of 4 t/h, burner resistances are 480, 600, and 740 Pa for oil flow rates of

Keywords： ignition     coal     burner     boiler     oil flow rate    

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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 interactionFor this purpose, the flow of motion in the image is primarily represented as a series of trajectories

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

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Elliptical lobe shape gerotor pump design to minimize wear

Mohammad Reza KARAMOOZ RAVARI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 429-434 doi: 10.1007/s11465-011-0247-6

Abstract: for elliptical lobe shape rotors profile and curvature of them have been derived and then Specific flowand wear rate proportional factor (WRPF) have been formulated.shape factor is changed for each value of number of outer rotor teeth in a feasible range and wear rateAlso in order to have better comparison specific flow has been presented.and show the significant improvement in wear of the rotors with negligible changes in the specific flow

Keywords： gerotor pump     elliptical lobe shape pump     wear rate proportional factor (WRPF)     specific flow    

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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 Chinese Academy of Engineering 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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Factors influencing water quality indices in a typical urban river originated with reclaimed water

Jiao Zhang, Zhen Wei, Haifeng Jia, Xia Huang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0943-5

Abstract: However, turbidity and algal contents fluctuated temporally in the direction of river flow.Statistical analysis showed that turbidity was strongly positively correlated with algal contents for flowrate<0.1 m·s , whereas it was strongly positively correlated with both algal contents and TOC for flowrate>0.1 m·s ., and was influenced by flow rate as well.

Keywords： Reclaimed water     Urban river     Turbidity     Algae     Flow rate    

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Experimental study on performance of passive and active solar stills in Indian coastal climatic condition

R. LALITHA NARAYANA, V. RAMACHANDRA RAJU

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 105-113 doi: 10.1007/s11708-018-0536-4

Abstract: This present work is aimed to examine the effect of mass flow rate on distillate output and performanceIn the active solar still, with the optimum water depth, different flow rates of 0.5, 1 and 1.5 L/minIt is observed that both the mass flow rate and the variation of internal heat transfer coefficientswith the mass flow rate have a significant effect on the yield and performance of the still.The experimental results show that the combination of 1.5 L/min mass flow rate and an optimum water depth

Keywords： distillation efficiency     solar still     heat transfer coefficient     water depth     optimum and mass flow rate    

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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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Experimental study of heat transfer coefficient with rectangular baffle fin of solar air heater

Foued CHABANE,Nesrine HATRAF,Noureddine MOUMMI

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 160-172 doi: 10.1007/s11708-014-0321-y

Abstract: thermal efficiency, the values of Nusselt have been compared with those of smooth duct under similar flow

Keywords： Nusselt number     flow rate     heat transfer     heat transfer coefficient     thermal efficiency     forced convection    

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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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Title Author Date Type Operation

A Modification of Evacuation Time Computational Model andSimulation Comparison Analyses With Olympic Stadium

Zhang Qingsong,Liu Mao,Zhao Guomin

Journal Article

Mechanism and control factors of hydrate plugging in multiphase liquid-rich pipeline flow systems: a

Journal Article

Structure Analysis of Crowd Intelligence Systems

Yunhe Pan,

Journal Article

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Influence of different oil feed rate on bituminous coal ignition in a full-scale tiny-oil ignition burner

Chunlong LIU, Qunyi ZHU, Zhengqi LI, Qiudong ZONG, Xiang ZHANG, Zhichao CHEN

Journal Article

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

Journal Article

Detecting interaction/complexitywithin crowd movements using braid entropy

Murat AKPULAT, Murat EKİNCİ

Journal Article

Elliptical lobe shape gerotor pump design to minimize wear

Mohammad Reza KARAMOOZ RAVARI

Journal Article

A platform of digital brain using crowd power

Dongrong XU, Fei DAI, Yue LU

Journal Article

Research on Social Risk of the Massing Crowd in Public Venues

Li Jianfeng,Liu Mao,Sui Xiaolin

Journal Article

Factors influencing water quality indices in a typical urban river originated with reclaimed water

Jiao Zhang, Zhen Wei, Haifeng Jia, Xia Huang

Journal Article

Experimental study on performance of passive and active solar stills in Indian coastal climatic condition

R. LALITHA NARAYANA, V. RAMACHANDRA RAJU

Journal Article

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

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

Journal Article

Experimental study of heat transfer coefficient with rectangular baffle fin of solar air heater

Foued CHABANE,Nesrine HATRAF,Noureddine MOUMMI

Journal Article

Aggregated context network for crowd counting

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

Journal Article