Parallel Computing Method for Multi-Agent Model Traffic Simulator with Domain Decompsition Method

2003 ◽  
Vol 2003.16 (0) ◽  
pp. 49-50
Author(s):  
Yutaka NAKAMA ◽  
Shinobu YOSHIMURA
Keyword(s):  
Parallel Computing ◽  
Agent Model ◽  
Multi Agent ◽  
Computing Method

Parallel Computing Method for Multi-Agent Model and Traffic Simulator MATES

2004 ◽  
Vol 2004.17 (0) ◽  
pp. 667-668
Author(s):  
Yutaka NAKAMA ◽  
Shinobu YOSHIMURA ◽  
Hideki Fujii
Keyword(s):  
Parallel Computing ◽  
Agent Model ◽  
Multi Agent ◽  
Computing Method

Research on multi-agent model based on track methodology of ontology building

2009 ◽  
Vol 29 (2) ◽  
pp. 412-415
Author(s):  
Qiang LU ◽  
Ming CHEN ◽  
Zhi-guang WANG
Keyword(s):  
Agent Model ◽  
Model Based ◽  
Multi Agent ◽  
Ontology Building

An Efficient Parallel Computing Method for the Steady-State Analysis of Electric Machines Using the Woodbury Formula

2020 ◽  
Vol 56 (2) ◽  
pp. 1-4 ◽  
Author(s):  
B. He ◽  
C. Lu ◽  
N. Chen ◽  
D. Lin ◽  
P. Zhou
Keyword(s):  
Parallel Computing ◽  
Steady State ◽  
Electric Machines ◽  
Steady State Analysis ◽  
Computing Method ◽  
State Analysis

scholarly journals A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan
Keyword(s):  
Wireless Sensor ◽  
Component Reliability ◽  
Agent Based ◽  
Agent Model ◽  
Cross Domain ◽  
Malware Propagation ◽  
Network Topologies ◽  
Multi Agent ◽  
Agent Characteristics ◽  
Information Domain

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.

scholarly journals An Efficient Parallel Computing Method for the Processing of Large Sensed Data

Automatika ◽  
2013 ◽  
Vol 54 (4) ◽  
pp. 471-482
Author(s):  
Dandan Li ◽  
Xiaohui Ji ◽  
Qun Wang
Keyword(s):  
Parallel Computing ◽  
Computing Method
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