Complexity

Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2021


Publishing date
01 Sep 2021
Status
Closed
Submission deadline
30 Apr 2021

Lead Editor

1Qingdao University, Qingdao, China

2Muroran Institute of Technology, Muroran, Japan

3Polytechnic University of Valencia, Valencia, Spain

4James Cook University, Cairns, Australia

5Università di Bologna, Bologna, Italy

This issue is now closed for submissions.
More articles will be published in the near future.

Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2021

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Complexity science technology will bring opportunities for the continuous expansion of new simulation research fields, especially for human simulation, social simulation, and human brain simulation, and provide unprecedented opportunities for simulation for social governance, prediction, and urbanization. The development of complexity science technology provides an important opportunity to use modeling and simulation methods to study new virtual information spaces. As we all know, the advantage of modeling and simulation technology is to provide a bridge from the real world to the virtual space, which provides a substitute for studying the unknown fields of human society and the physical world.

However, virtual information spaces are a completely new virtual space that are completely different from the physical world, and human society. This virtual space is not only "human, machine, object”, it is a space where the three notions are combined, and there are also the characteristics of multi-layer mesh and cross-domain association. The study of this new virtual space is a complex and current scientific research area. On the basis of making full use of the results of complexity science research, using parallel systems, embedded simulation, and other methods to build a bridge to this new type of space, they provide a virtual alternative for the interaction or behavioral characteristics between the research. Using the results of complexity science to constantly modify and test the models built are issues that need to be addressed for the further development of modeling and simulation science.

The aim of this Special Issue is to collate original research articles and review articles with a focus on up-to-date technology related to computer simulation for complexity issues in smart cities and serves as a forum for researchers all over the world to discuss their work and recent advances in this field. In particular, this Special Issue aims to showcase the most recent achievements and developments in complexity problem discovery and exploration. Both theoretical studies and state-of-the-art practical applications are welcome for submission.

Potential topics include but are not limited to the following:

  • Development of the science of complexity in smart cities
  • New generation of information technology and big data technology under innovative 2.0 environment
  • Big data strengthens open data and social involvement in smart cities
  • Open data and privacy protection under big data background
  • Complexity problems handled by numerical simulation in smart cities
  • Complexity problems handled by artificial intelligence in smart cities
  • Complex fluid dynamics handled by computer simulation technology
  • Complex modeling solutions handled by computer situation technology in smart cities
  • Mechanic systems handled by computer simulation technology
  • Control system handled by computer simulation technology
  • Internet of Things handled by computer simulation technology in smart cities

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9033912
  • - Research Article

Target Tracking Algorithm Based on Adaptive Scale Detection Learning

Dawei Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 2643690
  • - Research Article

Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm

Yan Guo
  • Special Issue
  • - Volume 2021
  • - Article ID 3304505
  • - Research Article

Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method

Jiping Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 9941592
  • - Research Article

Computer Simulation of Ideological and Political Teaching under Big Data of Complexity

Guoping Zhu | Guohua Zhu | Jianhua Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 7212688
  • - Research Article

Accounting Data Encryption Processing Based on Data Encryption Standard Algorithm

Meixi Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 8919625
  • - Research Article

Optimization of Human Resource File Information Decision Support System Based on Cloud Computing

Chunling Cai | Chuanyi Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 3896130
  • - Research Article

Mine Geological Environment Monitoring and Risk Assessment in Arid and Semiarid Areas

Jiaqi Jin | Chicheng Yan | ... | Yilong Yin
  • Special Issue
  • - Volume 2021
  • - Article ID 4476560
  • - Research Article

Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm

Zhenning Yuan | Jong Han Lee | Sai Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 3872881
  • - Research Article

Optimization and Simulation of Virtual Experiment System of Human Sports Science Based on VR

Gaixin Li
  • Special Issue
  • - Volume 2021
  • - Article ID 2889115
  • - Research Article

Self-Correction Ship Tracking and Counting with Variable Time Window Based on YOLOv3

Chun Liu | Jian Li
Complexity
Publishing Collaboration
More info
Wiley Hindawi logo
 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.300
Journal Citation Indicator0.690
Impact Factor2.833
 Submit

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.