On the use of nanocellulose as reinforcement in polymer matrix composites

AbstractNanocellulose is often being regarded as the next generation renewable reinforcement for the production of high performance biocomposites. This feature article reviews the various nanocellulose reinforced polymer composites reported in literature and discusses the potential of nanocellulose as reinforcement for the production of renewable high performance polymer nanocomposites. The theoretical and experimentally determined tensile properties of nanocellulose are also reviewed. In addition to this, the reinforcing ability of BC and NFC is juxtaposed. In order to analyse the various cellulose-reinforced polymer nanocomposites reported in literature, Cox–Krenchel and rule-of-mixture models have been used to elucidate the potential of nanocellulose in composite applications. There may be potential for improvement since the tensile modulus and strength of most cellulose nanocomposites reported in literature scale linearly with the tensile modulus and strength of the cellulose nanopaper structures. Better dispersion of individual cellulose nanofibres in the polymer matrix may improve composite properties

A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent Component Analysis

This paper presents the derivation of an unsupervised learning algorithm, which enables the identification and visualisation of latent structure within ensembles of high dimensional data. This provides a linear projection of the data onto a lower dimensional subspace to identify the characteristic structure of the observations independent latent causes. The algorithm is shown to be a very promising tool for unsupervised exploratory data analysis and data visualisation. Experimental results confirm the attractiveness of this technique for exploratory data analysis and an empirical comparison is made with the recently proposed Generative Topographic Mapping (GTM) and standard principal component analysis (PCA). Based on standard probability density models a generic nonlinearity is developed which allows both; 1) identification and visualisation of dichotomised clusters inherent in the observed data and, 2) separation of sources with arbitrary distributions from mixtures, whose dimensiona..

Kernel PCA for Feature . . .

In this paper, we propose the application of the Kernel Principal Component Analysis (PCA) technique for feature selection in a high-dimensional feature space, where input variables are mapped by a Gaussian kernel. The extracted features are employed in the regression problems of chaotic Mackey-Glass time-series prediction in a noisy environment and estimating human signal detection performance from brain event-related potentials elicited by task relevant signals. We compared results obtained using either Kernel PCA or linear PCA as data preprocessing steps. On the human signal detection task, we report the superiority of Kernel PCA feature extraction over linear PCA. Similar to linear PCA, we demonstrate de-noising of the original data by the appropriate selection of various nonlinear principal components. The theoretical relation and experimental comparison of Kernel Principal Components Regression, Kernel Ridge Regression and ɛ-insensitive Support Vector Regression is also provide

SIMULATED RADIOS FOR STRESS TESTING OF INET LINK MANAGER

IP-based telemetry systems such as iNET require extensive lab testing prior to fielding. Current iNET testbeds typically use several real radios and a mix of pre-recorded and live telemetry traffic. However, stress testing the iNET Radio Access Network (RAN) is hard to perform experimentally because of the limited number of available telemetry radios. To scale up the testing to a larger number of radios, we developed portable, low-cost VM-based telemetry radio simulators that interact with the iNET Link Manager (LM) and real radios to provide additional (emulated) links and queue depth reports. This approach makes it possible to establish the upper limit on the numbers of Test Articles that the LM can handle under various conditions. It also allows for fast reconfiguration of the number and set-up of simulated radios to test out specific use cases. The simulated radios free up real radios for off-site tests while preserving the ability for the continuous testing of LM features until real radios can be reclaimed. The developed testbed is portable owing to its lightweight set-up on the low-cost mac-mini computers. This makes it easy to use simulated radios also in off-site testbeds and field experiments.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection

Priority-Aligned Flow Control for IP-Based Telemetry Systems

ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NVWe developed priority-aligned flow control between the queuing system and the radio for IP-based telemetry systems. The approach provides the unified flow control across all nodes and traffic classes in telemetry links to better regulate bandwidth usage without creating oscillations. It combines multiple features: Volume-based flow control ensures consistency between a traffic queue's drain rate and the TDMA slot allocations for this queue. The allocations are translated into the number of packets to be sent to the radio from the router for each QoS class and test mission. In the case of iNET, the necessary capacity allocations are provided by the Link Manager on the ground. Fine-grained queue management allows flow control algorithms to adjust dynamically multiple parameters at the Traffic Engineering Queues as needed. Router- radio interface enhances the existing IETF standard Data Link Exchange Protocol (DLEP) to provide the signaling required for our solution. We defined the queue throughput shortage as the key evaluation metric. Our approach performed significantly better in comparison with the coarse-grained queue control available in Linux kernel. When averaged across links/queues, the reduction was 2-6% and 4-28% for high (8Mbps) and low (1Mbps) channel capacities, respectively. When averaged across multiple channel capacities, the maximum per-queue shortage was reduced from 47% to 4.5%.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection

Dynamic End-To-End QoS Management for Advanced RF Telemetry Networks

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, NevadaWe present iMANPOL - a dynamic end-to-end QoS management system for advanced RF telemetry networks with the red-black separation constraints. iMANPOL system encompasses network resource monitoring, allocation, and enforcement techniques to increase throughput and reduce end-to-end delay of telemetry traffic while protecting priority mission-critical flows. These goals are achieved through adaptive techniques for providing Differentiated Services, Admission Control Function, and Flow Preemption. The iMANPOL system has been implemented and tested in an emulated environment. The test results confirm that the admission control, particularly when coupled with preemption, can significantly increase the performance of priority flows in congested networks. An iMANPOL deployment in the integrated enhanced network telemetry would make more network resources available for high-priority tests and enable more dynamic test scheduling.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection