FOR EDUCATION

Create beautiful website for your education and training center with University. Drag – drop to build your own layout with Visual Composer.

COURSE POST

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EVENT TICKETS

Use U-event to create event and sell tickets via WooCommerce. At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis.

Upcoming Events

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ALL EVENTS

DON’T SAY TOMORROW. SAY TODAY!

 

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Why Choose Us

Build Your Own Homepage With Visual Composer

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Clean, Beautiful And Responsive Design

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U-Event Plugin Allow You To Sell Ticket

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Sell Courses With U-Course Plugin

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Shop Version Available With Woo Commerce Integrated

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Professional Look and Feel For Your Business

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Towards a Model-Driven Framework for Simulating Interactive Emergency Response Environments

Due to the increasing occurrence of unexpected events and the need for pre-crisis planning to reduce risks and losses, modeling emergency response environments (ERE) is needed more than ever. Modeling may lead to more careful planning for crisis-response operations, such as team formation, task assignment, and doing the task by teams. ERE-ML is a model-driven framework which allows a crisis manager to model an ERE, and to automatically generate the executable code of a multi-agent system (MAS) for that environment. However, the application generated by ERE-ML lacks the capability of supporting interactions among the agents and the organizations involved in the crisis management. In this paper, we propose ERE-ML 2.0 as an upgrade of the previous framework. The ERE-ML 2.0 framework supports the interactions by adding new features to the ERE-ML language, modifying the transformation code, and extending the platform. To evaluate the upgraded framework, the Plasco Tower Collapse incident is modeled, and then the model is transformed into the executable code of a MAS to visualize the run-time scenarios.