Computer applications in underground mining systems : final report : prepared for Office of Coal Research, Dept. of Interior ... /

"Period of performance: September, l968- December, 1973."

Speedup of iterative programs in multiprocessing systems /

Originally presented as the author's thesis, University of Illinois at Urbana-Champaign.

Linear system solvers for parallel computers /

Includes bibliographical references.

The brief encounter review : an investigation in graphic computer-based medical record reporting systems /

Bibliography: p. 85.

Further results regarding multiprocessor systems /

"NSF-OCA-MCS76-81686-000030."

Process design and cost estimating algorithms for the computer assisted procedure for design and evaluation of wastewater treatment systems (CAPDET) /

"PB 82-190455."

A preliminary study of commuter rail systems by analytical models and computer simulation.

"The results of a research project undertaken by the Department of Industrial Engineering and Administration of the Cornell University College of Engineering under a summer grant [1963] from the New York State Office of Transportation."

Documentation of computer programs and automated data systems : proceedings of a symposium held at the National Bureau of Standards, Gaithersburg, MD, October 12, 1976 /

Mode of access: Internet.

Computer-based national information systems : technology and public policy issues, summary.

"OTA-CIT-147"--P. 4 of cover.

Engineering design handbook : computer aided design of mechanical systems.

Cover title.

Design and implementation of a windows-based parallel computing environment for large scale optimization

A parallel computing environment to support optimization of large-scale engineering systems is designed and implemented on Windows-based personal computer networks, using the master-worker model and the Parallel Virtual Machine (PVM). It is involved in decomposition of a large engineering system into a number of smaller subsystems optimized in parallel on worker nodes and coordination of subsystem optimization results on the master node. The environment consists of six functional modules, i.e. the master control, the optimization model generator, the optimizer, the data manager, the monitor, and the post processor. Object-oriented design of these modules is presented. The environment supports steps from the generation of optimization models to the solution and the visualization on networks of computers. User-friendly graphical interfaces make it easy to define the problem, and monitor and steer the optimization process. It has been verified by an example of a large space truss optimization. (C) 2004 Elsevier Ltd. All rights reserved.

Process systems modelling and applications in granulation: A review

Granulation is one of the fundamental operations in particulate processing and has a very ancient history and widespread use. Much fundamental particle science has occurred in the last two decades to help understand the underlying phenomena. Yet, until recently the development of granulation systems was mostly based on popular practice. The use of process systems approaches to the integrated understanding of these operations is providing improved insight into the complex nature of the processes. Improved mathematical representations, new solution techniques and the application of the models to industrial processes are yielding better designs, improved optimisation and tighter control of these systems. The parallel development of advanced instrumentation and the use of inferential approaches provide real-time access to system parameters necessary for improvements in operation. The use of advanced models to help develop real-time plant diagnostic systems provides further evidence of the utility of process system approaches to granulation processes. This paper highlights some of those aspects of granulation. (c) 2005 Elsevier Ltd. All rights reserved.

Verification and validation of autonomous systems

NASA is working on complex future missions that require cooperation between multiple satellites or rovers. To implement these systems, developers are proposing and using intelligent and autonomous systems. These autonomous missions are new to NASA, and the software development community is just learning to develop such systems. With these new systems, new verification and validation techniques must be used. Current techniques have been developed based on large monolithic systems. These techniques have worked well and reliably, but do not translate to the new autonomous systems that are highly parallel and nondeterministic.