Research on Functional Description, Operation and Organizational Model of a Loosely Coupled System

2016 ◽  
Author(s):  
Zhao Yang ◽  
Jifeng Liu ◽  
Yangyue Liu
Keyword(s):  
Coupled System ◽  
Organizational Model ◽  
Functional Description ◽  
Loosely Coupled

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin
Keyword(s):  
Innovation System ◽  
Small World ◽  
Coupled System ◽  
Mean Value ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Relationship Strength ◽  
Loosely Coupled

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.

Ceremonial Justice: Crime and Punishment in a Loosely Coupled System

Social Forces ◽  
1979 ◽  
Vol 58 (2) ◽  
pp. 506 ◽  
Author(s):  
John Hagan ◽  
John D. Hewitt ◽  
Duane F. Alwin
Keyword(s):  
Coupled System ◽  
Crime And Punishment ◽  
Loosely Coupled

Geography Network for Sharing Geospatial Information in Disaster Management

2010 ◽  
Vol 5 (1) ◽  
pp. 108-116 ◽  
Author(s):  
Yuji Nawa ◽  
◽  
Go Urakawa ◽  
Hiro Ikemi ◽  
Ryota Hamamoto ◽  
...  
Keyword(s):  
System Architecture ◽  
Coupled System ◽  
Practical Method ◽  
System Structure ◽  
Web Gis ◽  
Geospatial Information ◽  
Loosely Coupled ◽  
Gis Data ◽  
System Requirement ◽  
Heavy Snow

The Chuetsu earthquake restoration and revival support geographic information system (GIS) project was launched after the 2004 Chuetsu earthquake. It was the first project to gather disaster GIS data at one place, and provide them by Web GIS from off–site of the disaster site in Japan. To facilitate sharing disaster geospatial information, we introduced a framework of Geography Network as GIS portal. The GIS portal was based on loosely–coupled system architecture. Therefore, it was able to change the system structure by system requirement of the project. The GIS portal was used continuously and commonly for the 2005 Fukuoka Earthquake and 2005–2006 Heavy Snow Disaster and the 2007 Chuetsu-Oki Earthquake. In this paper, we define the system requirement to share disaster geospatial information by knowledge from case studies, and describe a practical method to build the framework, demonstrate the benefit from the framework.

scholarly journals Introduction to the special issue on ontologies in agent systems

2002 ◽  
Vol 17 (1) ◽  
pp. 1-5 ◽  
Author(s):  
STEPHEN CRANEFIELD ◽  
STEVEN WILLMOTT ◽  
TIM FININ
Keyword(s):  
Speech Acts ◽  
Coupled System ◽  
Knowledge Bases ◽  
Message Content ◽  
Multi Agent Systems ◽  
Distributed Information ◽  
Agent Systems ◽  
Loosely Coupled ◽  
Systems Research ◽  
Multi Agent

It is now more than ten years since researchers in the US Knowledge Sharing Effort envisaged a future where complex systems could be built by combining knowledge and services from multiple knowledge bases and the first agent communication language, KQML, was proposed (Neches et al., 1991). This model of communication, based on speech acts, a declarative message content representation language and the use of explicit ontologies defining the domains of discourse (Genesereth & Ketchpel, 1994), has become widely recognised as having great benefits for the integration of disparate and distributed information sources to form an open, extensible and loosely coupled system. In particular, this idea has become a key tenet in the multi-agent systems research community.

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