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Zhang, J. - P., Cao, M., & Zhang, Y. (2005). 4D construction management system based on IFC standard and engineering information model. Gongcheng Lixue/Engineering Mechanics, 22(Suppl), 220–227.
Abstract: During the implementation of the building project, there is great deal of information to be processed. How to effectively organize and utilize these information, exchange and share data between different departments and personnel, has become a crucial problem in improving the information technology application level in construction industry. Based on the industry foundation classes (IFC) standard and the 4D modeling theory, this paper describes the establishment of a 4D information model that supports the data exchange and sharing during construction phases and achieves the integrated information management. A 4D project management system is also introduced. This system enables dynamic management, optimization and 4D simulation of the construction schedule, the resource allocation and the construction site layout. The model and the system provide new theory, approach and method for engineering information management during the whole construction phases. It may serve as a new construction management tool.
Keywords: Project management; Management information systems; Construction industry; Computer Aided Engineering
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Laubenbacher, R., Hower, V., Jarrah, A., Torti, S. V., Shulaev, V., Mendes, P., et al. (2009). A Systems Biology View of Cancer. Biochim Biophys Acta, .
Abstract: In order to understand how a cancer cell is functionally different from a normal cell it is necessary to assess the complex network of pathways involving gene regulation, signaling, and cell metabolism, and the alterations in its dynamics caused by the several different types of mutations leading to malignancy. Since the network is typically complex, with multiple connections between pathways and important feedback loops, it is crucial to represent it in the form of a computational model that can be used for a rigorous analysis. This is the approach of systems biology, made possible by new -omics data generation technologies. The goal of this review is to illustrate this approach and its utility for our understanding of cancer. After a discussion of recent progress using a network-centric approach, three case studies related to diagnostics, therapy, and drug development are presented in detail. They focus on breast cancer, B cell lymphomas, and colorectal cancer. The discussion is centered on key mathematical and computational tools common to a systems biology approach.
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Gabbard, J. L., & Swan, J. E. (2008). Engineering for Augmented Reality: Employing User-Based Studies to Inform Design. IEEE TVCG, 14(3), 513–525.
Keywords: Augmented Reality; Usability Engineering; HCI
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Tanenbaum, A.,. S. Harris J. Ross, S. Dasgupta C. H. Papadimitriou U. V. Vazirani, [Epsilon][mu][rho][eta][sigmaf] [Gamma].,. J. Talbot D. Welsh, & J. Beissinger V. Pless. Operating Systems Design and Implementation.
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Brooks, F. P. (1995). The Mythical Man-Month. Addison-Wesley Pub. Co.
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