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Keywords = integrated continuous processes
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16 pages, 3882 KB  
Article
A Systematic Method for Scaling Coefficients of the Continuous-Time Low-Pass ΣΔ Modulator Using a Simulink-Based Toolbox
by Bishoy M. Zaky, Mostafa A. Hosny, Hesham A. Omran and Hussein A. Elsayed
Eng 2024, 5(1), 1-16; https://doi.org/10.3390/eng5010001 - 19 Dec 2023
Cited by 1 | Viewed by 3190
Abstract
The sigma-delta modulator (SDM) is one of the well-established data converter architectures. It is well-known for achieving a high signal-to-noise ratio (SNR). In the SDM, the integrators in the loop filter could suffer from overloading if the signal swing exceeds its maximum level, [...] Read more.
The sigma-delta modulator (SDM) is one of the well-established data converter architectures. It is well-known for achieving a high signal-to-noise ratio (SNR). In the SDM, the integrators in the loop filter could suffer from overloading if the signal swing exceeds its maximum level, which leads to performance and SNR degradation. Thus, scaling the system coefficients is needed, such that there is no overloading for the integrators. In this work, we present a systematic general method that could be used for scaling the signal swings in the continuous-time low-pass sigma-delta modulator (SDM). The proposed method can be applied to any continuous-time low-pass SDM architecture, and it includes the scaling of all the possible combinations of the system coefficients. Moreover, an open-source Simulink-based toolbox that includes the systematic method is presented. This toolbox could help the designer to execute the scaling process and the simulations in an efficient way. In addition to that, a design example is discussed to illustrate the proposed method, wherein the presented toolbox is used for simulations, and the simulation results are shown. Full article
(This article belongs to the Section Electrical and Electronic Engineering)
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2 pages, 121 KB  
Editorial
Metabolites: A Novel Platform for Converging Research on Metabolism and Metabolomics
by Vladimir A. Likić
Metabolites 2011, 1(1), 1-2; https://doi.org/10.3390/metabo1010001 - 7 Dec 2010
Viewed by 5066
Abstract
Technological advances in analytical instrumentation and advances in data modeling are working in synergy to open up new perspectives and research agendas in metabolic research. Thanks to the legacy of the Human Genome Project and its continued impact in the post-genomic era, metabolism [...] Read more.
Technological advances in analytical instrumentation and advances in data modeling are working in synergy to open up new perspectives and research agendas in metabolic research. Thanks to the legacy of the Human Genome Project and its continued impact in the post-genomic era, metabolism is now thought of in a whole-genome context, even when the focus is on a single metabolite and individual metabolic reactions. For a few model organisms we now have extensive, and in some cases complete, information about components that perform integrated metabolic functions. This promises a true paradigm shift in our understanding of the processes of metabolism, but also poses new challenges. As complex and coordinated global behaviors are observed in what were thought to be "simple" organisms, many challenges remain in the experimental domain, as well as in the integration of data generated by increasingly high-throughput analytical techniques. Indeed, in the new era of metabolic research, mathematical and computational modeling is expected to play an increasingly important role. For many complex biochemical phenomena, use of mathematical models may be the best way to build a consistent picture and generate testable hypotheses based on complex yet inevitably incomplete data sets.[...] Full article
19 pages, 284 KB  
Article
An Evaluation Framework for Business Process Modeling Languages in Healthcare
by Amir Afrasiabi Rad, Morad Benyoucef and Craig E. Kuziemsky
J. Theor. Appl. Electron. Commer. Res. 2009, 4(2), 1-19; https://doi.org/10.4067/S0718-18762009000200002 - 1 Aug 2009
Cited by 3 | Viewed by 898
Abstract
Web services composition is an emerging paradigm for enabling inter and intra organizational integration, and a landscape of languages and techniques for modeling business processes in web service based environments has emerged and is continuously being enriched. With the advent of modeling standards, [...] Read more.
Web services composition is an emerging paradigm for enabling inter and intra organizational integration, and a landscape of languages and techniques for modeling business processes in web service based environments has emerged and is continuously being enriched. With the advent of modeling standards, different business sectors are investigating the options for modeling their workflows. In terms of business process modeling, healthcare is a rather complex sector of activity. Indeed, modeling healthcare processes presents special requirements dictated by the complicated and dynamic nature of these processes as well as by the specificity and diversity of the actors involved in these processes. Little effort has been dedicated to evaluating the capabilities and limitations of modeling languages based on healthcare requirements. This paper presents a set of healthcare modeling requirements and proposes an evaluation framework for process modeling languages based on these requirements. The suitability of two major process based service composition languages, namely BPEL and WS-CDL, is evaluated. Full article
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