S.A.R.I.: An object-oriented high-speed multi-network simulator/demonstrator

This paper presents our methodological approach for the realization of our S.A.R.I. (a French acronym standing for Simulateur d'Administration de Réseaux Interconnectés). Object-Oriented High-Speed Multi-Network Simulator/Demonstrator composed of interconnected heterogeneous high-speed subnetworks [Asynchronous Transfer Mode, (ATM); Distributed Queue Dual Bus, (DQDB); and Fiber Distributed Data Interface (FDDI)]. The goal of the S.A.R.I. Simulator is to perform the functional behavior of the high-speed protocols and their interconnections. The objective of the S.A.R.I. Demonstrator is to show the feasibility of the management of the S.A.R.I. Simulator. The concepts behind the, demonstrator are a logical layered management architecture to partition the multi-network managment activity, and an abstract network management information model that represents the network resources by data in a unified and integrated way.     

Nonlinear discrete-time models: state-space vs. I/O representations

This paper compares state-space and input–output realizations for nonlinear discrete-time dynamic models. For linear models, these two realizations are essentially equivalent and their structures are closely related, but these statements do not hold for nonlinear models. We illustrate this point with simple, realistic examples for which only one of the two realizations exists or for which both exist but their structures are profoundly different. Overall, the main point of this paper is the importance of the choice of realization in the development of nonlinear dynamic models.     

Product overview. Hot list: critical care/emergency room

June's HotList features emergency room and critical care products. All data have been provided by individual vendors who responded to our survey questions. Computers in Healthcare has made an effort to contact all vendors within this market. See the 1993 Computers in Healthcare Market Directory, for complete listings.     

Pk-fit: a pharmacokinetic/pharmacodynamic and statistical data analysis software.

This paper presents a new software, Pk-fit, to fit nonlinear models to kinetic and dynamic data. Directly connected to the spreadsheet, a statistical software component manager is available. In the data manager, Pk-fit includes the noncompartmental analysis module, the compartmental analysis module, the nonlinear kinetic process module, the drug absorption module, the pharmacodynamic data modeling module, the simultaneous fitting module, and the user-defined library module. In this paper, we present a detailed comparison of the kinetic analysis using Pk-fit and common software packages, PCNONLIN, MODFIT, MKMODEL, NONMEM, and SIPHAR, based on the textbook published by Gabrielsson in 1992, "Compilation of Analyzed Data Sets for Pharmacokinetic Software Evaluation." The comparison of Pk-fit with the reference softwares revealed that the parameters and their dispersion found with Pk-fit are consistent with the ones estimated with the other programs. In conclusion, Pk-fit constituted a valid tool for pharmacokinetic/pharmacodynamic data analysis.     

Hindel, B. et al.Basiswissen Software-Projektmanagement

Ohne Zusammenfassung     

Automatic recognition of multi-word terms:. the C-value/NC-value method

Technical terms (henceforth called terms ), are important elements for digital libraries. In this paper we present a domain-independent method for the automatic extraction of multi-word terms, from machine-readable special language corpora. The method, (C-value/NC-value ), combines linguistic and statistical information. The first part, C-value, enhances the common statistical measure of frequency of occurrence for term extraction, making it sensitive to a particular type of multi-word terms, the nested terms. The second part, NC-value, gives: 1) a method for the extraction of term context words (words that tend to appear with terms); 2) the incorporation of information from term context words to the extraction of terms. Received: 17 December 1998 / Revised: 19 May 1999