Development of a real-time multi-agent system: A practical study on ensuring timing correctness

2017 ◽  
Vol 32 (2) ◽  
pp. 1461-1473
Author(s):  
Dariusz Król ◽  
Filip Nowakowski
Keyword(s):  
Real Time ◽  
Multi Agent System ◽  
Agent System ◽  
System A ◽  
Multi Agent

Modeling of Multi-Agent System for Drilling Simulation

2011 ◽  
Vol 383-390 ◽  
pp. 1555-1561
Author(s):  
Wu Li Wang ◽  
Yan Jiang Wang
Keyword(s):  
Simulation System ◽  
Drilling Process ◽  
Multi Agent System ◽  
Agent System ◽  
Oil Drilling ◽  
Well Control ◽  
Existing Problems ◽  
System A ◽  
Multi Agent ◽  
Drilling Simulation

In view of the characteristics of the oil drilling process and the existing problems of traditional simulation system, a new distributed drilling simulation model was established based on Multi-Agent system (MAS) technology. By means of autonomous, cooperative and reactive characteristic of Agent, the drilling laws and phenomenon can be reflected promptly and accurately under any circumstances. The MAS modeling for oil drilling simulation, the structure and knowledge representation of each Agent and the communication among Agents are described in detail. Finally, an Agent-based normal drilling well control simulation training example was given. The simulation results show that the simulator based on Multi-Agent system has better performances than traditional drilling simulators, and enhances the integrated training function of the drilling simulation system.

Modernization of Healthcare and Medical Diagnosis System Using Multi Agent System (MAS)

2013 ◽  
pp. 592-622
Author(s):  
Shibakali Gupta ◽  
Sripati Mukherjee ◽  
Sesa Singha Roy
Keyword(s):  
Healthcare System ◽  
Appropriate Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Healthcare Facilities ◽  
Loosely Coupled ◽  
System A ◽  
Multi Agent ◽  
Main Components ◽  
Medical Diagnosis System

The healthcare system that prevailed some years ago was a mere pen and paper based system. A number of workers, staff, and written records were the main components of the prevailing system of healthcare. This had a number of drawbacks, and a number of mishaps occurred due to mismanagement of data and information. There was a need for development. Then, the concept of telemedicine came, which revolutionized the healthcare paradigm to a great extent. With the advancement of telemedicine, many major problems of the prevailing system were removed. But, still there were many other aspects which could be further improved to make healthcare facilities more enhanced. Keeping this in mind, the concept of Multi Agent System (MAS) was introduced in the healthcare system later. MASes are considered as the best and most appropriate technology that can be used in the development of applications in healthcare paradigm where the presence of multiple agents, heterogeneous and loosely coupled components, the data management in a dynamic and distributed environment, and multi-user collaborations are considered the most pertinent requirements for healthcare system. This chapter focuses mainly about MAS, its applications, and some systems that were developed by the authors.

Modernization of Healthcare and Medical Diagnosis System Using Multi Agent System (MAS)

2015 ◽  
pp. 1426-1455
Author(s):  
Shibakali Gupta ◽  
Sripati Mukherjee ◽  
Sesa Singha Roy
Keyword(s):  
Healthcare System ◽  
Appropriate Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Healthcare Facilities ◽  
Loosely Coupled ◽  
System A ◽  
Multi Agent ◽  
Main Components ◽  
Medical Diagnosis System

The healthcare system that prevailed some years ago was a mere pen and paper based system. A number of workers, staff, and written records were the main components of the prevailing system of healthcare. This had a number of drawbacks, and a number of mishaps occurred due to mismanagement of data and information. There was a need for development. Then, the concept of telemedicine came, which revolutionized the healthcare paradigm to a great extent. With the advancement of telemedicine, many major problems of the prevailing system were removed. But, still there were many other aspects which could be further improved to make healthcare facilities more enhanced. Keeping this in mind, the concept of Multi Agent System (MAS) was introduced in the healthcare system later. MASes are considered as the best and most appropriate technology that can be used in the development of applications in healthcare paradigm where the presence of multiple agents, heterogeneous and loosely coupled components, the data management in a dynamic and distributed environment, and multi-user collaborations are considered the most pertinent requirements for healthcare system. This chapter focuses mainly about MAS, its applications, and some systems that were developed by the authors.

scholarly journals Design and Implementation of a Virtual Sensor Network for Smart Waste Water Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 358 ◽  
Author(s):  
Edmundo Guerra ◽  
Yolanda Bolea ◽  
Javier Gamiz ◽  
Antoni Grau
Keyword(s):  
Waste Water ◽  
Real Time ◽  
Sensor Network ◽  
Plant Management ◽  
Multi Agent System ◽  
Agent System ◽  
Water Plant ◽  
Aerial Vehicle ◽  
Multi Agent ◽  
And Performance

Monitoring and analysis of open air basins is a critical task in waste water plant management. These tasks generally require sampling waters at several hard to access points, be it real time with multiparametric sensor probes, or retrieving water samples. Full automation of these processes would require deploying hundreds (if not thousands) of fixed sensors, unless the sensors can be translated. This work proposes the utilization of robotized unmanned aerial vehicle (UAV) platforms to work as a virtual high density sensor network, which could analyze in real time or capture samples depending on the robotic UAV equipment. To check the validity of the concept, an instance of the robotized UAV platform has been fully designed and implemented. A multi-agent system approach has been used (implemented over a Robot Operating System, ROS, middleware layer) to define a software architecture able to deal with the different problems, optimizing modularity of the software; in terms of hardware, the UAV platform has been designed and built, as a sample capturing probe. A description on the main features of the multi-agent system proposed, its architecture, and the behavior of several components is discussed. The experimental validation and performance evaluation of the system components has been performed independently for the sake of safety: autonomous flight performance has been tested on-site; the accuracy of the localization technologies deemed as deployable options has been evaluated in controlled flights; and the viability of the sample capture device designed and built has been experimentally tested.

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