Andrew P. McCoy, Robert Schubert, Robert Dunay, Joe Wheeler
lumenHAUS: Uses and Benefits of ICT for Design-Build Educational Environments
Abstract: By many accounts, American classrooms are not using the most effective means to properly educate and train young graduates and professionals. Common goals involve educational achievement and market advantage for students, with a wide variety of proposed solutions. Among the many solutions, technology in the classroom environment has been touted as one route for translating academic goals to the market. Education in the Architecture, Engineering and Construction (AEC) industry is no different: a rise in industry and classroom technology, paired with enrollment, justifies the need to re-focus solutions from technology to provide for the academic and market needs in the built environment. The recent Virginia Tech 2009 Solar Decathlon Competition (VTSD) offered an ideal setting for better understanding effective uses of technology in the translation of these AEC goals. VTSD was a student-led, integrated classroom environment incorporating students of all disciplines in the design and construction of an energy-efficient home. Information and communication technologies (ICT) played a major role in the educational and competitive efforts, all of which could translate to market advantage. This paper aims to explore academic uses and benefits of ICT for increased market acceptance through: 1) presenting common goals to the classroom, design-build education and the 2009 Solar Decathlon competition, 2) presenting various forms of ICT used to accomplish these goals and 3) presenting preliminary results of a survey of market acceptance for incorporated technologies.
Keywords: IT Supported Architectural and Engineering Design, Communication and Collaboration Technologies, Model Based Management Tools and Systems, Building Information Modeling
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Chuen-Chyi Hsieh, Te-Che Chen, Ting-Wu Ho and Chien-Cheng Chou
Taiwan High-Speed Trains Emergency Dispatching Using Ontology-Based, Multi-Agent Model
Abstract: High-speed rail (HSR) systems have played a more and more important role for todayÕs traveling public. To guarantee punctual, reliable and safe services, modern HSR systems are equipped with sophisticated computerized subsystems for daily operations. However, when a natural or man-made disaster occurs, currently extensive human interventions are needed and, consequently, extended delays and possible injuries may occur if HSR emergency dispatching plans utilized do not accommodate all the conflicts raised. Previous literature shows that multi-agent system (MAS) technology can be utilized to provide decision-making assistance in a distributed and dynamic environment and is often combined with ontology and semantic rules to enhance the reasoning capability. Hence, this research aimed at developing an ontology-driven MAS model for HSR emergency dispatching, and intelligent agents were constructed using JADE (Java Agent DEvelopment framework) and Protˇgˇ with SWRL (Semantic Web Rule Language). The proposed model was validated with three real HSR emergency dispatching cases, plus 50 hypothetical cases. Experts from Taiwan HSR company were asked to assess the model performance. The assessment results showed that the HSR emergency dispatching plans generated were similar to those designed by experienced dispatchers, and the time required to develop a plan using the proposed model was significantly less than the time needed in the manual approach. The model is expected to help young dispatchers handle emergency dispatching cases under stress, as well as to strengthen the safety aspect of HSR services. Delays or casualties associated with a train disaster could be reduced if the proposed model is adequately utilized.
Keywords: Multi-Agent System, Ontology, High-Speed Rail, Disaster Response Phase, Emergency Dispatching
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Durmisevic S, Ciftcioglu O, Sariyildiz S
An application of neural network in post-occupancy evaluation of underground stations
Abstract: "The architectural and construction design deals very often with the word quality. This term is so vague and broad that the main difficulty arises if one needs to determine its aspects. It is rather simple to deal with the quantifiable building standards. The problem is how to demystify and thereafter integrate this fuzzy concept of quality into design.
As an example we will use underground stations as a design problem area for two reasons. First of all, these spaces are rather young structures that have a high potential in the future. The efficiency of underground transport and importance of multiple space usage in the densely built urban areas are only some benefits that these spaces can offer. But yet many realized underground projects were not satisfactory to the users. Second reason lies in a fact that these spaces have their own limitations. Some qualities that are so obvious for the aboveground buildings, such as daylight or view, are rather difficult to obtain in underground spaces. Therefore, in these spaces the word quality is even more sensitive. But the literature that the architects can consult regarding these problems is rather scattered and difficult to obtain. One of the reasons is a lack of detailed documentation on actual applications of the theories followed by the research results and applied techniques. In this paper we used the AI technique, a Neural Network, for data analysis.
The main objective of this paper is to develop a Support Model that will enable quality measurement of underground spaces in a systematic way. In order to avoid the ad-hoc design solutions for underground spaces, there is a need for systematic approach to their design. In such way the intuitive approach to problem solving can be minimized. This paper deals with following topics:
1. aspects that determine the quality of space
2. classification of psychological and spatial aspects
3. development of conceptual framework
4. application of Neural Network for post-occupancy evaluation
5. results and endeavor design guidelines
First three topics will deal with criteria definition, which were necessary for design of the experimental part of a research. The experimental research, which was carried out at the site of one underground station, provided the necessary data. The main emphasis of the paper will be on Neural Network application (topic 4), which will be used to treat the data gathered on underground station. The main objective is to verify the consistency of the outcomes against the predefined criteria."
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Class: class.analysis (0.050429)
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Permission to reproduce these documents have been graciously provided by Icelandic Building Research Institute. The assistance of the editor, Mr. Gudni Gudnason, is gratefully appreciated
Songer A D, Young R, Davis K
Social architecture for sustainable IT implementation in AEC
Abstract: As the impact of emerging technologies such as 3D visualization, animation, virtual reality, e-commerce, and project specific web sites are revolutionizing global markets into an era of the new economy, the engineering and construction industry must re-invent itself to meet the increasing owner demands of high performance.
Owner organizations are requiring the engineering/construction industry to perform at extraordinary levels of project delivery (Songer et. al. 2000). Advances in project delivery systems and information technologies provide tremendous potential for enhancing the engineering and construction industry's overall performance. However, the majority of industry participants have been slow to embrace the use of new technologies to enhance project performance to desired levels. Appropriate implementation of information technologies is a key focus area that must be addressed by the AEC industry. One reason for the difficulty of implementing IT is the misalignment of current organizational structures and cultures with IT models for integrated, collaborative work environments.
The AEC industry is largely decentralized, composed of separate organizations, which must participate together on a project by project basis. The multi-participant, multi-organizational framework is a significant barrier to implementing IT in the industry. Nevertheless, the collaborative paradigm essential for IT implementation remains largely unexplored. In particular, the social architecture of organizations relative to implementing advanced technologies into a collaborative, IT driven paradigm must be more fully understood prior to sustainable change occurring in the AEC industry.
This paper provides results of a case study which investigates existing social architectures of AEC organizations in the new economy, identifies barriers for IT implementation across organizational boundaries, and suggests new models of organization which encourage integration and collaboration.
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Class: class.social (0.074547)
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Permission to reproduce these documents have been graciously provided by CSIR Building and Construction Technology. The assistance of the editors, Mr. Gustav Coetzee and Mr. Frances Boshoff, is gratefully appreciated.