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Constantine D. Papaspyrides - One of the best experts on this subject based on the ideXlab platform.

  • polymer layered silicate clay nanocomposites an overview of flame retardancy
    Progress in Polymer Science, 2010
    Co-Authors: P. Kiliaris, Constantine D. Papaspyrides
    Abstract:

    A review is presented of the recent developments concerning the use of layered silicates (clay) for designing polymer nanocomposites endowed with enhanced flame retardancy. Emphasis is placed on the fact that the effect of layered silicates is beneficial mostly for retarding flame spread in developing fires, but not at the stage of ignition or in the case of fully developed fires. Accordingly, the need for incorporating conventional flame retardants in nanocomposites is discussed, providing detailed examples reported in Open Literature.

P. Kiliaris - One of the best experts on this subject based on the ideXlab platform.

  • polymer layered silicate clay nanocomposites an overview of flame retardancy
    Progress in Polymer Science, 2010
    Co-Authors: P. Kiliaris, Constantine D. Papaspyrides
    Abstract:

    A review is presented of the recent developments concerning the use of layered silicates (clay) for designing polymer nanocomposites endowed with enhanced flame retardancy. Emphasis is placed on the fact that the effect of layered silicates is beneficial mostly for retarding flame spread in developing fires, but not at the stage of ignition or in the case of fully developed fires. Accordingly, the need for incorporating conventional flame retardants in nanocomposites is discussed, providing detailed examples reported in Open Literature.

Kainam Thomas Wong - One of the best experts on this subject based on the ideXlab platform.

  • Hammerstein system with a stochastic input of arbitrary/unknown autocorrelation – nonparametric estimator of the static nonlinear subsystem
    'Institution of Engineering and Technology (IET)', 2021
    Co-Authors: Tsair‐chuan Lin, Kainam Thomas Wong
    Abstract:

    Abstract This study proposes the first estimator in the Open Literature (to the present authors' best knowledge) to nonparametrically estimate a Hammerstein system's nonlinear static subsystem when excited by an input that is temporally self‐correlated with an unknown spectrum, an unknown variance and an unknown mean (instead of the input as commonly presumed to be white and zero‐mean). This proposed nonparametric estimator is analytically proved here to be asymptotically unbiased and pointwise consistent. The proposed estimate's associated finite‐sample convergence rate is also derived analytically

  • landmobile radiowave multipaths doa distribution assessing geometric models by the Open Literature s empirical datasets
    IEEE Transactions on Antennas and Propagation, 2010
    Co-Authors: Kainam Thomas Wong, M Abdulla
    Abstract:

    ?Geometric modeling? idealizes the spatial geometric relationships among the transmitter, the scatterers, and the receiver in a wireless propagation channel - to produce closed-form formulas of various channel-fading metrics (e.g., the distribution of the azimuth angle-of-arrival of the arriving multipaths). Scattered in the Open Literature are numerous such ?geometric models,? each advancing its own closed-form formula of a fading metric, each based on a different idealization of the spatial geometry of the scatterers. Lacking in the Open Literature is a comprehensive and critical comparison among all such single-cluster geometric-model-based formulas of the arriving multipaths' azimuth direction-of-arrival distribution. This paper fills this Literature gap. The comparison here uses all empirical data legibly available in the Open Literature for landmobile wireless radiowave propagation. No one geometric model is best by all criteria and for all environments. However, a safe choice is the model with a Gaussian density of scatterers centered at the transmitter. Despite this model's simplicity of having only one degree of freedom, it is always either the best fitting model or offers an LSE within one third of an order-of-magnitude as the best fitting model for all empirical dataset of all environments.

  • an integrated overview of the Open Literature s empirical data on the indoor radiowave channel s delay properties
    IEEE Transactions on Antennas and Propagation, 2008
    Co-Authors: Mohamad Khattar Awad, Kainam Thomas Wong
    Abstract:

    A comprehensive and integrative overview (excluding ultrawideband measurements) is given of all the empirical data available from the Open Literature on various temporal properties of the indoor radiowave communication channel. The concerned frequency range spans over 0.8-8 GHz. Originally, these data were presented in about 70 papers in various journals, at diverse conferences, and in different books. Herein overviewed are the multipaths' amplitude versus arrival delay, the probability of multipath arrival versus arrival delay, the multipath amplitude's temporal correlation, the power delay profile and associated time dispersion parameters (e.g., the RMS delay spread and the mean delay), the coherence bandwidth, and empirically ldquotunedrdquo tapped-delay-line models. Supported by the present authors' new analysis, this paper discusses how these channel-fading metrics depend on the indoor radiowave propagation channel's various properties, (e.g., the physical environment, the floor layout, the construction materials, the furnishing's locations and electromagnetic properties) as well as the transmitted signal's carrier-frequency, the transmitting-antenna's location, the receiving-antenna's location, and the receiver's detection amplitude threshold.

Omer Civalek - One of the best experts on this subject based on the ideXlab platform.

Frans M Christensen - One of the best experts on this subject based on the ideXlab platform.

  • review of carbon nanotubes toxicity and exposure appraisal of human health risk assessment based on Open Literature
    Critical Reviews in Toxicology, 2010
    Co-Authors: Karin Aschberger, Helinor Jane Johnston, Vicki Stone, Robert Aitken, Steven M Hankin, Sheona Peters, Lang C Tran, Frans M Christensen
    Abstract:

    Carbon nanotubes (CNTs) possess many unique electronic and mechanical properties and are thus interesting for numerous novel industrial and biomedical applications. As the level of production and use of these materials increases, so too does the potential risk to human health. This study aims to investigate the feasibility and challenges associated with conducting a human health risk assessment for carbon nanotubes based on the Open Literature, utilising an approach similar to that of a classical regulatory risk assessment. Results indicate that the main risks for humans arise from chronic occupational inhalation, especially during activities involving high CNT release and uncontrolled exposure. It is not yet possible to draw definitive conclusions with regards the potential risk for long, straight multi-walled carbon nanotubes to pose a similar risk as asbestos by inducing mesothelioma. The genotoxic potential of CNTs is currently inconclusive and could be either primary or secondary. Possible systemic effects of CNTs would be either dependent on absorption and distribution of CNTs to sensitive organs or could be induced through the release of inflammatory mediators. In conclusion, gaps in the data set in relation to both exposure and hazard do not allow any definite conclusions suitable for regulatory decision-making. In order to enable a full human health risk assessment, future work should focus on the generation of reliable occupational, environmental and consumer exposure data. Data on toxicokinetics and studies investigating effects of chronic exposure under conditions relevant for human exposure should also be prioritised.