1,073 research outputs found

    THE OBJECTIVES AND REQUIREMENTS OF MODEL MANAGEEMENT

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    Model management is a technology evolving by necessity, pushed by the attempts to deal with increasingly complex systems and the perceived inadequacies of past efforts. This rapid evolution of Model Management Systems (MMS) has created different perspectives of the role of the MMS; one arising the user's interaction with a model data bank and the other view from the in the database and decision support systems research community stressing modeling community emphasizing the model development functions. These two perspectives are clarified and reconciled by relating each to the model life cycle, which leads to a more comprehensive statement of MMS requirements

    Absorption enhancement of molecules in the weak plasmon-exciton coupling regime

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    Cataloged from PDF version of article.We report on the experimental and theoretical investigations of enhancing the optical absorption of organic molecules in the weak plasmon–exciton coupling regime. A metal–organic hybrid structure consisting of dye molecules embedded in the polymer matrix is placed in close vicinity to thin metal films. We have observed a transition from a weak coupling regime to a strong coupling one as the thickness of the metal layer increases. The results indicate that absorption of the self-assembled J-aggregate nanostructures can be increased in the weak plasmon–exciton coupling regime and strongly quenched in the strong coupling regime. A theoretical model based on the transfer-matrix method qualitatively confirms the experimental results obtained from polarization-dependent spectroscopic reflection measurements

    Direct imaging of localized surface plasmon polaritons

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    Cataloged from PDF version of article.In this Letter, we report on dark field imaging of localized surface plasmon polaritons (SPPs) in plasmonic waveguiding bands formed by plasmonic coupled cavities. We image the light scattered from SPPs in the plasmonic cavities excited by a tunable light source. Tuning the excitation wavelength, we measure the localization and dispersion of the plasmonic cavity mode. Dark field imaging has been achieved in the Kretschmann configuration using a supercontinuum white-light laser equipped with an acoustooptic tunable filter. Polarization dependent spectroscopic reflection and dark field imaging measurements are correlated and found to be in agreement with finite-difference time-domain calculations. (C) 2011 Optical Society of Americ

    Plexcitonic crystals: a tunable platform for light-matter interactions

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    Cataloged from PDF version of article.Coupled states of surface plasmon polaritons (SPPs) and excitons are collectively called plexcitons [Nano Lett. 8, 3481 (2008)]. Plexcitonics is an emerging field of research aiming to control light-matter interaction at the nanometer length scale using coupled pairs of surface-plasmons and excitons. Ability to control the interaction between localized excitons and propagating surface-plasmons is important for realization of new photonic devices. In this letter, we report plexcitonic crystals that yield direction-dependent plasmon-exciton coupling. We have fabricated one- and two-dimensional plexcitonic crystals on periodically corrugated silver surfaces, which are loaded with J-aggregate complexes. We show that plasmon-exciton coupling is blocked for some crystal directions when exciton energy falls inside the plasmonic band gap of the periodically corrugated metallic surface. (C) 2014 Optical Society of Americ

    Simulation Support: Prototyping The Automation-Based Paradigm

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    This paper describes our research efforts in prototyping the automation-based software paradigm to provide automated support for discrete-event simulation model development. The automation-based paradigm has been suggested as the software technology in the 1990's. The technology needed to support this paradigm does not yet exist. However, the benefits to be gained are so significant that, if achieved, it could profoundly change the way that simulation models are developed. We have been working to achieve this paradigm in the form of an environment composed of an integrated and comprehensive collection of computer-based tools. Our prototyping efforts have focused on the Model Generator, Model Analyzer, and Assistance Manager tools. The Model Generator tool is crucial for the realization of the paradigm and three prototypes have been developed. Our experimentations with the prototypes indicate that the paradigm can be achieved if a small problem domain is chosen. The problem becomes quite complex in the domain-independent case; nevertheless, we believe that the challenge can be met by way of an evolutionary development of prototypes

    The Simulation Model Development Environment: An Overview

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    The purpose of this paper is to provide an overview of the Simulation Model Development Environment (SMDE) that has been under development since 1983. The SMDE architecture is composed of four layers: (0) Hardware and Operating System, (1) Kernel SMDE, (2) Minimal SMDE, and (3) SMDEs. Following the incremental development software engineering life cycle, SMDE software components are identified. Guided by the principles enunciated by the Conical Methodology, evolutionary prototyping approaches have been used to develop the following minimal SMDE tools: Premodels Manager, Assistance Manager, Model Generator, Model Analyzer, Model Translator, and Model Verifier. The Model Generator has been the most critically important tools, and five prototypes have been developed

    Simulation Model Development: The Multidimensionality of the Computing Technology Pull

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    Recent computing advances in artificial intelligence, computer graphics, human-computer inter-face, networking, parallel processing, and software engineering pull simulation model development in different directions. This paper discusses the impacts of significant advances in these areas on simulation model development, overviews how our Simulation Model Development Environment design is influenced by the recent advances, and speculates on the impacts of predicted future advances in these areas on simulation model development. The paper concludes that the computing advances in the six areas can be integrated under a simulation environment to provide an extremely powerful platform for simulation model development and execution

    The effect of anatomic differences on the relationship between renal artery and diaphragmatic crus

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    Background: The aim of this study is to investigate the effect of anatomic differences on the relationship between renal artery and diaphragmatic crus via the touch of two structures. Materials and methods: The study included dynamic computed tomography (CT) scans of 308 patients performed mainly for characterisation of liver and renal masses. Anatomic differences including the thickness of the diaphragmatic crus, the localisation of renal artery ostium at the wall of aorta, the level of renal artery origin with respect to superior mesenteric artery were evaluated. Statistical relationships between renal artery-diaphragmatic crus contact and the anatomic differences were assessed. Results: Thickness of the diaphragmatic crus at the level of renal artery origin exhibited a statistically significant relationship to renal artery-diaphragmatic crus contact at the left (p < 0.001) and right side (p < 0.001). There was a statistically significant relationship between high renal artery origin and renal artery- -diaphragmatic crus contact at the left (p < 0.001) and right side (p = 0.01). The localisation of renal artery ostium at the wall of aorta (right side, p = 0.436, left side, p = 0.681) did not demonstrate a relationship to renal artery-diaphragmatic crus contact. Conclusions: Thickness of the diaphragmatic crus and high renal artery origin with respect to superior mesenteric artery are crucial anatomic differences determining the relationship of renal artery and diaphragmatic crus. (Folia Morphol 2018; 77, 1: 22–28)
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