Complexity

Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2020


Publishing date
01 Mar 2021
Status
Closed
Submission deadline
23 Oct 2020

Lead Editor

1Qingdao University, Qingdao, China

2Muroran Institute of Technology, Muroran, Japan

3Universitat Politecnica de 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 2020

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 is 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 are fused, and at the same time it also has the characteristics of multi-layer mesh and cross-domain association. The study of this new virtual space is a hot and difficult point of current scientific research. 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, and 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.

This Special Issue aims to collate high quality research 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 2020
  • - Article ID 8815770
  • - Research Article

Heuristic Sensing: An Uncertainty Exploration Method in Imperfect Information Games

Zhenyang Guo | Xuan Wang | ... | Jiajia Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 8835103
  • - Research Article

A Dynamic Hierarchical Clustering Data Gathering Algorithm Based on Multiple Criteria Decision Making for 3D Underwater Sensor Networks

Xiaoying Song | Wei Sun | Qilong Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 8507273
  • - Research Article

Hemodynamic-Based Evaluation on Thrombosis Risk of Fusiform Coronary Artery Aneurysms Using Computational Fluid Dynamic Simulation Method

Haoran Wang | Hitomi Anzai | ... | Makoto Ohta
  • Special Issue
  • - Volume 2020
  • - Article ID 8821128
  • - Research Article

Optimization and Simulation for E-Commerce Supply Chain in the Internet of Things Environment

Liwei Zhu
  • Special Issue
  • - Volume 2020
  • - Article ID 6369729
  • - Research Article

A Three-Dimensional Complex Measurement Model-Based Avionic Radio-Frequency Power Source Health Assessment Method

Lin Huo | Shiqi Li | ... | Chuan Lyu
  • Special Issue
  • - Volume 2020
  • - Article ID 1424757
  • - Research Article

Panoramic Display and Planning Simulation of Civil Engineering Project Based on Virtual Reality Technology

Zheng Wang | Chang Liu | Bin Song
  • Special Issue
  • - Volume 2020
  • - Article ID 8898536
  • - Research Article

Multiple-Devices-Process Integrated Scheduling Algorithm with Time-Selective Strategy for Process Sequence

Xiaohuan Zhang | Dan Zhang | ... | Yu Xin
  • Special Issue
  • - Volume 2020
  • - Article ID 7945417
  • - Research Article

Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems

Fei Long
  • Special Issue
  • - Volume 2020
  • - Article ID 3690124
  • - Research Article

Diagnosis and Exercise Rehabilitation of Knee Joint Anterior Cruciate Ligament Injury Based on 3D-CT Reconstruction

Shunchao Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 7916936
  • - Research Article

Numerical Investigation on the Dynamic Characteristics of an Adjustable Power Turbine Used in Environmental Control System

Qihang Lu | Qi Zhang | Dalin Zhang
Complexity
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Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.200
Impact Factor2.462
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