Agent technology is playing an increasingly important role in developing intelligent, distributed and collaborative applications. The innate difficulties of interoperation between heterogeneous agent communities and rapid construction of multi-agent systems have motivated the emergence of FIPA specifications and the proliferation of multi-agent system platforms or toolkits that implement FIPA specifications. In this paper, a FIPA compliant multi-agent framework called AADE (Autonomous Agent Development Environment) is presented. This framework, originating from the engineering fields, can facilitate the rapid development of collaborative engineering applications (especially in engineering design and manufacturing fields) through the provision of reusable packages of agent-level components and programming tools. An agent oriented engineering project on the development of an e-engineering design and optimization environment is designed and developed based on the facilities provided by the AADE framework.
The environmental regulation of a product is a global trend. The environmental regulation directives such as RoHS, WEEE, ELV and REACH have impacted Korean export-oriented auto parts manufacturer and affects the export of the product to aboard. In electronics manufacture and auto parts manufacturer, there are different systems for environmental regulation compliance. Nowadays the automotive mechatronics parts in a car are increasing. The HEV and intelligent car will need more mechatronics parts. It is necessary to apply the environmental regulation system of electronics to the automotive parts. In this paper, we proposed the application of PDX standard used in electronic industry to the BOM of the auto parts manufactures and showed an example of generated BOM for selected auto part using PDX. The PDX-based BOM can be used for the recording of environmental substances of the automotive mechatronics part and help the collaboration across auto parts manufactures in accordance with environmental regulation.
The increasing complexity of complex buildings, such as high-rise buildings and underground subway stations, presents new challenges to firefighters. In a fire in complex buildings, the importance of the collaboration between firefighters is clear. The increased demand on firefighter training for such environment is now evident. Due to cost, time, and safety issues, it is impossible to experience a real fire in such environments for training. In addition, the use of real fire for training does not enable repeatable training and the evaluation of the training is difficult. We developed a team-based firefighter training simulator for complex buildings using the virtual reality technology. It provides the training and evaluation of firefighting and mission-based team training. To model real fire phenomena in virtual space, a numerical analysis method based on fire dynamics is used. To achieve an immersive virtual environment, an augmented reality technique for the compensation of real world image and a haptic technique for heat experience are adopted. The developed training simulator can help the firefighter to respond to large and complex firefighting scenarios, while maintaining the safety of the trainees.
The manufacturing processes in a product are different according to the characteristics of the product and the information within the process is also varied. To implement the flexible MES, the Data Acquisition System (DAS) considering the characteristics of manufacturing system is needed. In this paper, we introduced the design of the equipment information acquisition system that can process the information of shop floor in real-time and adaptive to the changes of shop floor. The proposed system is the bridge between the shop floor and the Manufacturing Execution System (MES). It provides the MES the shop floor information between the work order and the results of work performance. The proposed system provides a data parser module to process equipment status in a flexible manner and a data mapper module to couple the equipment status to a manufacturing process and a SOA-based data integration module to link the processed shop floor information to upper system such as MES and ERP. The system is highly configurable system and easy to maintain even if new equipment or manufacturing process is inserted or re-arranged.
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