Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 25

Conference Videos 4

Year

2023 2

2022 6

2021 1

2020 2

2019 1

2018 2

2017 2

2016 4

2008 1

2007 2

2005 2

2004 1

2002 1

2001 2

open ︾

Keywords

metasynthetic wisdom 3

Artificial intelligence 2.0 2

Crowd counting 2

Crowd intelligence 2

Crowdsourcing 2

metasynthesis 2

metasynthetic engineering 2

metasynthetic wisdom engineering 2

noetic science 2

open complex giant system 2

6G 1

Artificial intelligence 1

Autonomous-intelligent system 1

Big data 1

Braid entropy 1

Complexity detection 1

Corner-turning behavior 1

Cross-media 1

Crowd behavior 1

open ︾

Search scope:

排序： Display mode:

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

HTML PDF Collect

On Qian Xuesen's Theory of Metasynthetic Wisdom

Qian Xuemin

Strategic Study of CAE 2002, Volume 4, Issue 3, Pages 6-15

Abstract:

The theory of Metasynthetic Wisdom meets the need of the new era.

Keywords： metasynthetic wisdom modern system of science and technology open complex giant system metasyntheticengineering department of overall design education based on metasynthetic wisdom

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

The Beginnings of Wisdom: Challenges in Engineering Education Views & Comments

Helen Atkinson

Engineering 2016, Volume 2, Issue 1, Pages 45-47 doi: 10.1016/J.ENG.2016.01.031

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

“Medical-and-Care Wisdom Linkage” Pension Model Research and Exploration

Jin Xinyu,Xia Qi,Zhang Wei and Li Lanjuan

Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 92-98 doi: 10.15302/J-SSCAE-2018.02.014

Abstract: Based on China's national policies, this paper proposes a "Medical-and-Care Wisdom Linkage"

Keywords： “Medical-and-Care Wisdom Linkage” wisdom endowment Internet artificial intelligence auxiliary diagnosis

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

The Formation and Development of “Metasynthesis”

Lu Mingsen

Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 9-16

Abstract:

Metasynthesis is a new contribution of Qian Xuesen to modern science and technology in recent 20 years. It is one of the main achievements in the third creation upsurge in his life. Starting from analyzing historical background for the formation of metasynthesis,and quoting a large number of already published data, the article textually criticises and expounds the practising basis and practical process of the abstraction and formation of metasynthesis and the subsequent enrichment and development. Then the article points out its chief characteristic and its great effect and meaning for the development of modern science and technology.

Keywords： open complex giant system metasynthesis hall for work shop of metasynthetic engineering metasynthetic wisdomengineering metasynthetic wisdom (science of wisdom in cyberspace)

HTML PDF Collect

Qian Xuesen´s View on Metasynthetic Engineering

Dai Ruwei

Strategic Study of CAE 2001, Volume 3, Issue 12, Pages 14-20

Abstract:

A brief summary of “metasynthetic wisdom” proposed by famous Chinese scientist Qian Xuesen

Keywords： modern science technology architecture metasynthetic engineering metasynthetic wisdom

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

Advanced construction of science and technology with meta-synthetic wisdom

Dai Ruiwei

Strategic Study of CAE 2008, Volume 10, Issue 10, Pages 4-8

Abstract: style="text-align: justify;">The advanced construction of science and technology with meta-synthetic wisdomscience and technology, the research and discussion of intelligent system as well as meta-synthetic wisdom

Keywords： advanced construction of science and technology meta-synthetic wisdom open complex giant system (OCGS