3,059 research outputs found

    Effects of Dysgraphia on Teachers\u27 Perceptions of A Student\u27s Capabilities, Intelligence, and School Performance

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    The focus of this study will explore how the dysgraphic disability of one child affects teachers\u27 perceptions of that child\u27s capabilities, intelligence, and performance of daily tasks associated with school and schoolwork. The child will use the Tablet PC\u27s handwriting recognition technology to determine if the assistive technology tool improves the child\u27s school performance and his ability to produce legible notes and papers. Worksheets were downloaded into the Tablet PC prior to use in school so that the child could complete all classroom work on the Tablet PC. [This student benefited from being able to tum hand written notes into text. This students\u27 handwriting improved as a result of computer-aided practice. The use of the Tablet PC by a child with dysgraphia enables the child to be independent of the need of teacher-produced notes or a scribe.] Bracket material needs to be supported by data yet to be collected

    Terahertz detectors based on all-dielectric photoconductive metasurfaces

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    Performance of terahertz (THz) photoconductive devices, including detectors and emitters, has been improved recently by means of plasmonic nanoantennae and gratings. However, plasmonic nanostructures introduce Ohmic losses, which limit gains in device performance. In this presentation, we discuss an alternative approach, which eliminates the problem of Ohmic losses. We use all-dielectric photoconductive metasurfaces as the active region in THz switches to improve their efficiency. In particular, we discuss two approaches to realize perfect optical absorption in a thin photoconductive layer without introducing metallic elements. In addition to providing perfect optical absorption, the photoconductive channel based on all-dielectric metasurface allows us to engineer desired electrical properties, specifically, fast and efficient conductivity switching with very high contrast. This approach thus promises a new generation of sensitive and efficient THz photoconductive detectors. Here we demonstrate and discuss performance of two practical THz photoconductive detectors with integrated all-dielectric metasurfaces

    2002 Media Guide

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    2002 Women\u27s Basketball Media Guide, George Fox Universit

    Master of Science

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    thesisThe Salt Lake Valley Solid Waste Management Facility (SLVSWMF) in Salt Lake City, Utah, is considering changing how municipal solid waste (MSW) is managed. Specifically, the SLVSWMF is planning to shred all incoming MSW prior to landfilling. Landfilled solid waste at the SLVSWMF is mixed and typical of MSW in the United States, consisting of incompressible and compressible types of waste. Shredding MSW reduces void space and creates a more easily compacted mass. To test the density and rebound of shredded and nonshredded MSW, a 1 yd3 steel compactor was constructed, which has the ability to deliver a load of up to 11125 lb/ft2. Compaction pressure was designed to simulate the in-situ compaction typically achieved at the landfill by use of a mobile compactor. MSW was loaded into the compactor until filled, and incremental loads were applied until11125 lb/ft2 was reached and was measured using a pressure gauge. Shredded waste was generated using a waste shredder unit, which incorporates low speed, high-torque technology. The mass and volume of compacted waste were also recorded, which allowed for the determination of densities under applied pressure. The initial average in-place density was 297 lb/yd3for the nonshredded MSW and 592 lb/yd3 for the shredded MSW. The final average in-place density was determined to be 626 lb/yd3 for the nonshredded MSW and 1144 lb/yd3 for the shredded MSW, both of which were calculated after the maximum load had been applied, released, and left to rebound for 24 hours. Rebound of the nonshredded and shredded MSW was similar between the two with an average of 3.1 inches for the nonshredded MSW and 3 inches, respectively, for the shredded MSW. Overall this research indicates that compaction of shredded MSW creates a more structurally stable mass that is much denser than nonshredded MSW. The average final in-place density of shredded MSW is 65.1% greater than the average final in-place density of nonshredded MSW. The increase in final in-place density of shredded MSW translates directly into a volume savings of 39.4%. Should municipalities decide to shred solid waste, a significant amount of landfill volume will be conserved

    An Intelligent Intrusion Detection System for Internet of Things Attack Detection and Identification Using Machine Learning

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    The usability and scalability of Internet of things (IoT) technology are expanding in such a way that they facilitate human living standards. However, they increase the vulnerabilities and attack vectors over IoT networks as well. Thus, more security challenges could be expected and encountered, and more security services and solutions should be provided. Although many security techniques propose and promise good solutions for that intrusion detection systems IDSs still considered the best. Many works proposed machine learning (ML)-based IDSs for IoT attack detection and classification. Nevertheless, they suffer from two main gaps. First, few of the works utilized or could analyze an up-to-date version of IoT-based attack behaviors. Second, few of the works can be considered as multi-class attack detection and classification. Therefore, this work proposes an intelligent IDS (IIDS) by exploiting the ability of ML algorithms to classify and identify malicious from benign behaviors among IoT network packets. Three ML classifier algorithms are investigated, which are K-Nearest Neighbor, support vector machine, and artificial neural network. The developed models have been trained and tested as binary and multi-class classifiers against 15 types of attacks and benign. This work employs an up-to-date dataset known as IoT23, which covers millions of malicious and benign behaviors of IoT-connected devices. The process of developing the proposed IIDSs goes under different preprocessing phases and methods, such as null value solving, SMOTE method for the imbalanced datasets, data normalization, and feature selections. The results present IIDSs as good binary and multi-class classifiers even for zero-day attacks

    Multi-Scale Free-Form Surface Description and Curvature Estimation

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    A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed at our center [4] and using a local parametrization technique, are then smoothed using a 2-D Gaussian filter. Our method for local parametrization makes use of semigeodesic coordinates as a natural and efficient way of sampling the local surface shape. The smoothing eliminates the surface noise together with high curvature regions such as sharp edges, therefore, sharp corners become rounded as the object is smoothed iteratively. Our technique for free-form 3-D multi-scale surface smoothing is independent of the underlying triangulation. It is also argued that the proposed technique is preferrable to volumetric smoothing or level set methods since it is applicable to incomplete surface data which occurs during occlusion. The technique was applied to simple and complex 3-D objects and the results are presented here

    Explosive events - swirling transition region jets

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    In this paper, we extend our earlier work to provide additional evidence for an alternative scenario to explain the nature of so-called `explosive events'. The bi-directed, fast Doppler motion of explosive events observed spectroscopically in the transition region emission is classically interpreted as a pair of bidirectional jets moving upward and downward from a reconnection site. We discuss the problems of such a model. In our previous work, we focused basically on the discrepancy of fast Doppler motion without detectable motion in the image plane. We now suggest an alternative scenario for the explosive events, based on our observations of spectral line tilts and bifurcated structure in some events. Both features are indicative of rotational motion in narrow structures. We explain the bifurcation as the result of rotation of hollow cylindrical structures and demonstrate that such a sheath model can also be applied to explain the nature of the puzzling `explosive events'. We find that the spectral tilt, the lack of apparent motion, the bifurcation, and a rapidly growing number of direct observations support an alternative scenario of linear, spicular-sized jets with a strong spinning motion.Comment: 9 pages, 3 figures, accepted for publication in Solar Physic

    Energy levels and lifetimes of Nd IV, Pm IV, Sm IV, and Eu IV

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    To address the shortage of experimental data for electron spectra of triply-ionized rare earth elements we have calculated energy levels and lifetimes of 4f{n+1} and 4f{n}5d configurations of Nd IV (n=2), Pm IV (n=3), Sm IV (n=4), and Eu IV (n=5) using Hartree-Fock and configuration interaction methods. To control the accuracy of our calculations we also performed similar calculations for Pr III, Nd III and Sm III, for which experimental data are available. The results are important, in particular, for physics of magnetic garnets.Comment: 4 pages 1 tabl
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