scholarly journals Four Exercises in Programming Dynamic Reconfigurable Systems: Methodology and Solution in DR-BIP

2018 ◽  
pp. 304-320 ◽  
Author(s):  
Rim El Ballouli ◽  
Saddek Bensalem ◽  
Marius Bozga ◽  
Joseph Sifakis
Keyword(s):  
Reconfigurable Systems ◽  
Systems Methodology

Designing Reconfigurable Systems: Methodology and Guidelines

2016 ◽  
pp. 29-68
Author(s):  
Zoltan Papp ◽  
Raul del Toro Matamoros ◽  
Coen van Leeuwen ◽  
Julio de Oliveira Filho ◽  
Andrei Pruteanu ◽  
...  
Keyword(s):  
Reconfigurable Systems ◽  
Systems Methodology

Trustworthy Reconfigurable Systems

2014 ◽  
Author(s):  
Thomas Feller
Keyword(s):  
Reconfigurable Systems

A SOFT SYSTEMS METHODOLOGY APPROACH TO IMPROVING THE SUPPLY CHAIN OF A CONSTRUCTION PROJECT IN GAUTENG PROVINCE, SOUTH AFRICA

2020 ◽  
Vol 10 (1) ◽  
pp. 86-99
Author(s):  
Lewis Tsuro ◽  
Stan Hardman
Keyword(s):  
South Africa ◽  
Supply Chain ◽  
Construction Project ◽  
Soft Systems Methodology ◽  
Project Planning ◽  
Suitable Model ◽  
Senior Managers ◽  
Good Tool ◽  
Systems Methodology ◽  
Soft Systems

The Soft Systems Methodology (SSM) was developed as a set of tools for identifying and making incremental steps to improve situations with poorly defined causes or solutions. The supply chain forms a key process of any construction project; however, on any given construction site, supply chain inefficiencies could arise from many different avenues. Opinions vary, though, on which of these avenues is more important for increasing supply chain efficiencies; whether any problem even exist across the different aspects of the supply chain; as well as what steps should be taken to resolve them. It was therefore studied, here, whether SSM could be employed as a useful tool to systematically apply in the supply chains of a construction project in South Africa, for understanding and targeting the problematic situations that arise. Following thorough cyclical open-ended interviews with 17 workers, supervisors, foremen, site clerks, senior managers, and the CEO of the principal contractor at a new office park construction project in Rosebank, Johannesburg, and a thematic analysis of the data, SSM was performed to understand the existing challenges, and develop a suitable model for improvement. The study found that SSM was a good tool for understanding the ‘messy’ circumstances surrounding the chosen construction project supply chain, as well as actions that could be taken to improve the supply chain’s efficiency on site. The findings add weight to the argument that SSM could be a good tool for project managers to systematically introduce into their project planning regimens

Internal credit rating systems: methodology and economic value

2009 ◽  
Vol 3 (2) ◽  
pp. 11-34 ◽  
Author(s):  
Radu Neagu ◽  
Sean Keenan ◽  
Kete Chalermkraivuth
Keyword(s):  
Credit Rating ◽  
Economic Value ◽  
Rating Systems ◽  
Systems Methodology

Juggling gates [reconfigurable systems]

2003 ◽  
Vol 1 (3) ◽  
pp. 20-23
Author(s):  
C. Edwards
Keyword(s):  
Reconfigurable Systems

On Parametrizing Feasible Reconfigurable Systems Under Real-Time, Energy, and Resource Sharing Constraints

2020 ◽  
pp. 1-13
Author(s):  
Aicha Goubaa ◽  
Mohamed Khalgui ◽  
Zhiwu Li ◽  
Georg Frey ◽  
Abdulrahman Al-Ahmari
Keyword(s):  
Real Time ◽  
Resource Sharing ◽  
Reconfigurable Systems

scholarly journals Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1353
Author(s):  
Hai Sun ◽  
Lanling Hu ◽  
Wenchi Shou ◽  
Jun Wang
Keyword(s):  
Quantitative Relation ◽  
Response Patterns ◽  
Multi Agent Systems ◽  
Systems Methodology ◽  
Cellular Automata Model ◽  
Self Organized ◽  
Multi Agent ◽  
Exit Choice ◽  
Evacuation Plan ◽  
Exit Options

Predicting evacuation patterns is useful in emergency management situations such as an earthquake. To find out how pre-trained individuals interact with one another to achieve their own goal to reach the exit as fast as possible firstly, we investigated urban people’s evacuation behavior under earthquake disaster coditions, established crowd response rules in emergencies, and described the drill strategy and exit familiarity quantitatively through a cellular automata model. By setting different exit familiarity ratios, simulation experiments under different strategies were conducted to predict people’s reactions before an emergency. The corresponding simulation results indicated that the evacuees’ training level could affect a multi-exit zone’s evacuation pattern and clearance time. Their exit choice preferences may disrupt the exit options’ balance, leading to congestion in some of the exits. Secondly, due to people’s rejection of long distances, congestion, and unfamiliar exits, some people would hesitant about the evacuation direction during the evacuation process. This hesitation would also significantly reduce the overall evacuation efficiency. Finally, taking a community in Zhuhai City, China, as an example, put forward the best urban evacuation drill strategy. The quantitative relation between exit familiar level and evacuation efficiency was obtained. The final results showed that the optimized evacuation plan could improve evacuation’s overall efficiency through the self-organization effect. These studies may have some impact on predicting crowd behavior during evacuation and designing the evacuation plan.

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