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Dynamische Kompensation von nichtlinearen Verzerrungen mit genetischer ProgrammierungLi, Xuhui. January 2003 (has links) (PDF)
München, Universiẗat der Bundeswehr München, Diss., 2003.
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Stochastic models for biological systemsAli, Mansour Fathey Yassen. Unknown Date (has links) (PDF)
University, Diss., 2003--Osnabrück.
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Requirements for efficient commercial systems analysis and designTerblanche, Riaan January 1996 (has links)
Thesis (MTech(Information Technology)--Cape Technikon, Cape Town, 1996 / Systems Analysis and Design (also known as Systems Development) is the
systematic process of problem identification, problem definition, analysis of the
causes of the problem, the design of alternative solutions to the problem, and
the eventual implementation of the selected solution as a computer system (if
possible).
During this systems development process there are a quite a large number of
principles and approaches that need to be considered. It is also required from
the systems analyst to have certain skills and to know how to apply a number
of tools and techniques.
The purpose of this research is to determine which approaches, principles,
skills, tools and techniques are required by the industry for the development of
commercial computer systems so that_prospective systems analysts can be
properly trained in those aspects. This means that the course content of
training institutions should be updated accordingly.
The aspects that form part of the course offered by the training institution
where the researcher works, are discussed and identified out of the literature.
The course content is compared with what is required by the industry by means
of an empirical research consisting of a questionnaire and frequency and
regression analysis.
The results from the research indicate that the following aspects of systems
development must be emphasized:
1. Phases of systems development
" Implementation
" Analysis
" Planning
" Design
2. Important tools and techniques
" Data modelling
" Process modelling
" Presentations
" Input and output design
" Observation (for fact-finding)
" Cross Reference between the data and process model
3. Skills
" Interpersonal relations
" Third generation programming languages
" . Basic understanding of CASE
" Working knowledge of CASE
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Hierarchical Identification of Large-Scale System ModelsJankovic, Boris R. January 1997 (has links)
Dissertation submitted in compliance with the requirements for the Doctor's Degree in Technology in the Department of Electrical Engineering (Light Current) at Technikon Natal / In this study we propose a new concept and methodology of hierarchical identification. The need for such a methodology comes from the fact that identification of large-scale systems (LSSs) by one-shot approach may be numerically very complex. The analysis of LSSs is, in general, not approached by the one-shot methodologies normally associated with non-LSSs. The proposed method of hierarchical identification can be therefore viewed as an extension of LSS methodologies to system identification. LSS methodology aims at breaking up the initial, complex problem into a set of smaller size subproblems. / D
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Neuroanatomical Distribution of Neurons within the Hypothalamic Paraventricular Nucleus that Project to the Brainstem Rostral Ventrolateral MedullaFuller, Nicolas 01 May 2022 (has links)
The sympathetic nervous system is important in maintaining cardiovascular homeostasis. Elevated cardiovascular-related sympathetic activity can lead to neurogenic hypertension and a host of other serious cardiac-related abnormalities. The paraventricular nucleus (PVN) of the hypothalamus plays an important role in sympathetic cardiovascular regulation. Neurons from the PVN project to the rostral ventrolateral medulla (RVLM), which is the main brain stem sympathetic cardiovascular control center. While RVLM-projecting PVN neurons have been well characterized, the topographical organization within the PVN subnuclei is still not fully known. This neuroanatomical study aimed to map the topographical distribution of RVLM-projecting PVN neurons. Four different carboxylate FluoSphereTM retrograde tracers (blue, 365/415; green, 505/515; red, 565/580; and far-red, 660/680) were injected at different rostro-caudal coordinates within the RVLM. The vast majority of RVLM-projecting PVN neurons were ipsilateral and located in the medial parvocellular subnucleus. Whereas most neurons were ipsilateral, there is a small fraction of neurons that crossed the midline. RVLM-projecting neurons were also identified within the dorsal, ventral, and posterior parvocellular subnuclei of the PVN with no labeling found in the anterior parvocellular or magnocellular subnuclei. Additionally, we observed different efficiencies of the retrograde tracers with blue (365/415) being the least efficient and red (565/580) being the best. These neuroanatomical data will serve as important preliminary data for future research investigating the functional and histochemical properties of these PVN neurons.
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AnalyzeThis: An Analysis Workflow-Aware Storage SystemSim, Hyogi 13 January 2015 (has links)
Supercomputing application simulations on hundreds of thousands of cores produce vast amounts of data that need to be analyzed on smaller-scale clusters to glean insights. The process is referred to as an end-to-end workflow. Extant workflow systems are stymied by the storage wall, resulting from both the disk-based parallel file system (PFS) failing to keep pace with the compute and memory subsystems as well as the inefficiencies in end-to-end workflow processing. In the post-petaflop era, supercomputers are provisioned with flash devices, as an intermediary between compute nodes and the PFS, enabling novel paradigms not just for expediting I/O, but also for the in-situ analysis of the simulation output data on the flash device. An array of such active flash elements allows us to fundamentally rethink the way data analysis workflows interact with storage systems. By blending the flash storage array and data analysis together in a seamless fashion, we create an analysis workflow-aware storage system, AnalyzeThis. Our guiding principle is that analysis-awareness be deeply ingrained in each and every layer of the storage system—active flash fabric, analysis object abstraction layer, scheduling layer within the storage, and an easy-to-use file system interface—thereby elevating data analyses as first-class citizens. Together, these concepts transform AnalyzeThis into a potent analytics-aware appliance. / Master of Science
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Metamorphosys: Entwurf eines autonomen adaptiven SystemsJeitner, Jürgen. Unknown Date (has links) (PDF)
München, Techn. Universiẗat, Diss., 2007.
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Soft issues in IS Projects lessons from a not-for-profit in New Zealand : a dissertation submitted to Auckland University of Technology in partial fulfilment of the requirements for the degree of Master of Computer and Information Sciences (MCIS), 2009 /Shimmin, Rory. January 2009 (has links)
Dissertation (MCIS)--AUT University, 2009. / Includes bibliographical references. Also held in print (53 leaves : ill. ; 30 cm.) in the Archive at the City Campus (T 003 SHI)
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Rekursive Strukturen auf Volterra-Basis zur aufwandsarmen Darstellung und Entzerrung von nichtlinearen SystemenKafka, Veit Stefan. January 2002 (has links) (PDF)
München, Univ. der Bundeswehr, Diss., 2002. / Computerdatei im Fernzugriff.
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Rekursive Strukturen auf Volterra-Basis zur aufwandsarmen Darstellung und Entzerrung von nichtlinearen SystemenKafka, Veit Stefan. January 2002 (has links) (PDF)
München, Univ. der Bundeswehr, Diss., 2002. / Computerdatei im Fernzugriff.
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