Networks/networking, computer

Li, Z., Dayan, P. Computational differences between asymmetrical and symmetrical networks Network. Comput. Neural Syst. 10, 59-77 (1999)... 

Papoulias, S. A., and Grossmann, I. E., A Structural Optimization Approach in Process Synthesis II. Heat Recovery Networks, Computers Chem. Eng., 7 707, 1983. 

FIgura 7.1 Two alternative graphs. (Reprinted from Linnhoff, Mason, and Wardle, Understanding Heat Exchan r Networks Computers Ckem. Engg., 3 295, 1979 with permission from Elsevier Science, Ltd.)... 

Lin, M., Hsieh, J., Du, D. H. C., Thomas, J. P., MacDonald, J. A. Distributed network computing over local ATM networks. In Proceedings of Supercomputing 94. IEEE Computer Society Press, Los Alamitos, California, 1994. Greengard, L., Rokhlin, V. A fast algorithm for particle simulation. J. Comp. Phys. 73 (1987) 325-348. 

The networking of personal computers has continued and has enabled the sharing of expensive hard-copy output devices and other peripherals and has provided the significant benefit of faciUtating the transfer of data between computers. Joint authorship of technical articles is a quick and easy process with networked computers. The interappHcation communication that today links appHcations within a single computer will transparentiy link appHcations on networked computers. Voice-annotated documents are already available. 

Papalexandri, K. P., and Pistikopoulos, E. N. (1994). A multiperiod MINLP model for the synthesis of heat and mass exchange networks. Comput. Chem. Eng. 18(12), 1125-1139. 

Ydstie, B. E., Forecasting and control using adaptive coimectionist networks. Comput. Chem. Eng. 14, 583 (1990). 

E.P.P.A. Derks, M.L.M. Beckers, W.J. Meissen and L.M.C. Buydens, A parallel cross-validation procedure for artificial neural networks. Computers Chem., 20 (1995) 439-448. 

W. Luo, M.N. Karim, A.J. Morris and E.B. Martin, Control relevant identification of a pH waste water neutralisation process using adaptive radial basis function networks. Computers Chem. Eng., 20(1996)S1017... 

Dong, D., and McAvoy, T. J., Nonlinear principal component analysis—based on principal curves and neural networks, Comput. Chem. Eng. 20(1), 65 (1996). 

A significant development in pipeline network computation in the last few years was the introduction of the so-called linearization method first by Wood and Charles (Wll) and later, independently, by Bending and Hutchi-... 

Linnhoff, B., Mason, D.R., Wardle, I., 1979. Understanding heat exchanger networks. Comput. Chem. Eng., 3 295-302... 

Turkay, M. and I. E. Grossmann. Logic-Based MINLP Algorithms for the Optimal Synthesis of Process Networks. Comput Chem Eng 20 (8) 959-978 (1996). 

Briones, V. and A. Kokossis. A New Approach for the Optimal Retrofit of Heat Exchanger Networks. Comput Chem Eng 20 (Suppl) S43-S48 (1996). 

Jang Y, Jang S, Chang B, Park J (2002) A combined model of network design and production/distribution planning for a supply network. Computers Industrial Engineering 43 (1-2) 263-281... 

Ladunga, I., Czako, F., Csabai, I., and Geszti, T. (1991). Improving signal peptide prediction accuracy by simulated neural network. Comput. Appl. Biosci. 7, 485-487. Landolt-Marticorena, C., Williams, K., Deber, C., and Reithmeier, R. (1993). Non-random distribution of amino acids in the ransmembrane segments of human type I single span membrane proteins. J. Mol. Biol. 229, 602-608. 

Simply, SCADA is a computer-based control system that remotely controls processes previously controlled manually. The philosophy behind SCADA control systems can be summed up by the phrase, If you can measure it, you can control it. SCADA allows an operator using a central computer to supervise (control and monitor) multiple networked computers at remote locations. Each remote computer can control mechanical processes (mixers, pumps, valves, etc.) and collect data from sensors at... 

Biocomputers. 2. Neural networks (computer science) 3. Information technology. 

DNLM 1. Automatic Data Processing. 2. Biochemical Phenomena. 3. Neural Networks (Computer) QU 26.5 F478i 2010]... 

A simple HTTP client program (e.g., fetch ) can be pointed at an HTTP server, accept lines of input from a standard input stream, send them as messages to an HTTP server, accept replies from that server and then write them to a standard output stream. The fetch program becomes a serial filter for any such HTTP server (which is now acting as a network compute server). 

In contrast to these interactive searches, which are of little appeal to those with large numbers of searches to carry out, there are available two batch-type searches which accept the complete spectrum of the unknown and examine all spectra in the file sequentially to find the best fits. These are the Biemann and PBM search algorithms. Spectra can be entered from a teletype, but in a more common arrangement, a user s data system can be connected to the network for this purpose and the unknown spectra can be down-loaded into the network computer for use in the search, which can be carried out at once, or, if preferred, overnight at 30% of the cost. 

Rassokhin, D., Lobanov, V. S., and Agrafiotis, D. K. (2000) Nonlinear mapping of massive data sets by fuzzy clustering and neural networks../. Comput. Chem. 21, 1-14. 

Test communication between networked computers and peripherals, and access control, including remote access control. 

Malhotra VM, Pramodh Kumar M, Maheswari SN (1978) An 0 (V3) Algorithm for finding maximum flows in networks, Computer Science Program, India Institute of Technology, Kanpur... 

Figure 20 Sequence of structures along the reaction paths network computed in the photochemistry of 2,3-diazabicyclo[2.2.1]hept-2-ene (DBH)species (3).(Adapted from Ref. 104.)...

Every individual, every company, every government agency/ministry, every non-profit, in fact every organization that uses networked computers,... 

Unfortunately the current less than satisfactory situation is likely to deteriorate as the global information infrastructure expands to encompass large numbers of huge networked computer systems, perhaps involving... 

Dependable Network Computing, ed. D. R. Avresky, Kluwer Academic Publishers, 1999. 

Fiehn O. Combining genomics, metabolome analysis and biochemical modeling to understand metabolic networks. Comput Funct Genomics 2001 2 155-169. 

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