By National Research Council, Division on Engineering and Physical Sciences, Commission on Engineering and Technical Systems, Committee on Advanced Engineering Environments
Advances within the functions of applied sciences appropriate to allotted networking, telecommunications, multi-user machine purposes, and interactive digital fact are developing possibilities for clients within the related or separate destinations to interact in interdependent, cooperative actions utilizing a standard computer-based setting. those features have given upward push to fairly new interdisciplinary efforts to unite the pursuits of mission-oriented groups with these of the pc and social technology groups to create built-in, tool-oriented computation and communique platforms. those structures can let groups in frequent destinations to collaborate utilizing the most recent tools and computing assets. the advantages are many. for instance, a brand new paradigm for intimate collaboration among scientists and engineers is rising. This collaboration has the capability to speed up the advance and dissemination of information and optimize using tools and amenities, whereas minimizing the time among the invention and alertness of latest technologies.
Advanced Engineering Environments: attaining the imaginative and prescient, part I describes the advantages and feasibility of ongoing efforts to boost and observe complex engineering environments (AEEs), that are outlined as specific implementations of computational and communications platforms that create built-in digital and/or dispensed environments linking researchers, technologists, designers, brands, providers, and customers.
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Additional resources for Advanced Engineering Environments: Achieving the Vision, Phase 1
Unfortunately, the lifetime of many programs is too short to justify a large investment in new computer systems, software tools, and related infrastructure. Furthermore, program managers at agencies like NASA are often involved in complex first- or one-of-a-kind missions, such as the international space station or a planetary exploration mission. Using AEE simulations to replace physical tests on these missions would be especially risky without reliable methods for continuously validating the simulations.
Industry and government employers bear most of the training burden. Universities believe (and the committee agrees) that the university educational mission generally does not include the task of training students to become proficient with particular software packages. AEEs should be designed to make use of the system as natural as possible to minimize the need for specialized training. Even so, education and training will be essential to teach people how to use AEE tools and how the results of their work will be used by others, so that output data produced in Copyright © 2003 National Academy of Sciences.
Little effort by most software vendors to address interoperability or data-exchange issues outside of their own suite of tools 5. Multiple hardware platform issues—computers, hardware, databases, and operating systems 6. Lack of formal or informal standards for interfaces, files, and data terminology 7. Increasing complexity of the tools that would support AEE capabilities 8. Difficulty of inserting emerging and advanced technologies, tools, and processes into current product and service environments 9.