iCampus

2011 ◽  
pp. 58-64
Author(s):  
Stefano Bromuri ◽  
Visara Urovi ◽  
Kostas Stathis
Keyword(s):  
Real Time ◽  
Mobile Phones ◽  
Ambient Intelligence ◽  
Multi Agent System ◽  
Campus Network ◽  
University Campus ◽  
Event Calculus ◽  
Main Motivation ◽  
Multi Agent ◽  
Partially Sighted

iCampus is a prototype multi-agent system whose goal is to provide the ambient intelligence required to connect people in a university campus and make that campus inclusive and accessible. Software agents called guides run on mobile phones to help students with information about people, places, and events, thus providing people real-time, location-based advice that makes them more aware of what is going on in the campus. The work outlines how to specify iCampus in the Ambient Event Calculus and implement it using the agent environment GOLEM to deploy guide agents over a campus network. The work is illustrated by showing how iCampus improves the mobility of blind or partially sighted students within a campus, which has been the main motivation behind the work.

iCampus

2010 ◽  
Vol 2 (1) ◽  
pp. 59-65 ◽  
Author(s):  
Stefano Bromuri ◽  
Visara Urovi ◽  
Kostas Stathis
Keyword(s):  
Real Time ◽  
Mobile Phones ◽  
Ambient Intelligence ◽  
Multi Agent System ◽  
Campus Network ◽  
University Campus ◽  
Event Calculus ◽  
Main Motivation ◽  
Multi Agent ◽  
Partially Sighted

iCampus is a prototype multi-agent system whose goal is to provide the ambient intelligence required to connect people in a university campus and make that campus inclusive and accessible. Software agents called guides run on mobile phones to help students with information about people, places, and events, thus providing people real-time, location-based advice that makes them more aware of what is going on in the campus. The work outlines how to specify iCampus in the Ambient Event Calculus and implement it using the agent environment GOLEM to deploy guide agents over a campus network. The work is illustrated by showing how iCampus improves the mobility of blind or partially sighted students within a campus, which has been the main motivation behind the work.

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.

Detection of Primitive Collective Behaviours in a Crowd Panic Simulation Based on Multi-Agent Approach

2012 ◽  
Vol 3 (3) ◽  
pp. 50-65 ◽  
Author(s):  
Jérémy Patrix ◽  
Abdel-Illah Mouaddib ◽  
Sylvain Gatepaille
Keyword(s):  
Real Time ◽  
Situation Awareness ◽  
Hidden Markov ◽  
Extended Model ◽  
Multi Agent System ◽  
Complex Behaviour ◽  
Simulation Based ◽  
Fusion Methods ◽  
Multi Agent ◽  
Using Data

In case of emergency and evacuation, it is often impossible to interpret manually the complex behaviour of a crowd, essentially due to the lack of staff and time needed to understand a situation. In the literature, a monitored system using data fusion methods makes it possible to perform automatic situation awareness. Using Swarm Intelligence domain, the authors propose an approach based on multi-agent system to simulate and detect primitive collective behaviours emerging from a crowd panic. It enables anticipating collective behaviours in real-time as well as their anomalies according to specific scenarios. Detection is the possibility to learn, recognize and anticipate different behaviours by a probabilistic model. The collective behaviour detection of a crowd panic in real-time is based on a learning method on an extended model of Hidden Markov Model. This paper presents experiments of simulation and detection using an implementation of a virtual environment.

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