Information Technologies in Environmental Engineering (ITEE 2005)
|Event Date/Time: Sep 25, 2005||End Date/Time: Sep 27, 2005|
|Registration Date: Aug 31, 2005|
|Early Registration Date: Jul 31, 2005|
|Abstract Submission Date: Feb 28, 2005|
|Paper Submission Date: Feb 28, 2005|
In recent decades public interest in environmental problems has increased enormously, and research into these subjects has been intensifying. At the same time developments in computer and network techniques have led to the creation of sophisticated information systems with increased storage and transmission capacities. Such data can often be accessed by the public using the internet; and the public has become a very concerned participant in discussions about the environment.
In recent years, information technology has become significant to all scientific groups and fields involved in environment engineering. Knowledge based systems which enable the study of environmental changes have been developed, are being extended to manage those environments. New paradigms for designing objects to enable easy disassembly and recovery of components contribute to reuse. Developments in exploiting alternative energy sources are reducing dependence on non-renewable resources. Surveillance techniques enable tracking of persons likely to threaten the lives of persons or their environment.
How can these developments be enhanced?
Further advance is going to be possible only if scientific teams have adequate experience, methods and tools for investigation of the changes in the environment. Success requires a high level of organization both related to technical as well as scientific and human aspects of information handling.
The ITEE 2005 conference will provide a forum for exchanging information among pollution engineers, knowledge engineers and scientists. Some of the objectives include discussion of projects for long term storage of data, data update and validation, and the consistency of data. Research topics and funding opportunities discussed at the conference will be of interest to all researchers. Another objective is to discuss means of assessing the potential of individual teams in implementation and modeling of large scale systems.