36 research outputs found

    Enhanced Crystallinity of Epitaxial Graphene Grown on Hexagonal SiC Surface with Molybdenum Plate Capping

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    The crystallinity of epitaxial graphene (EG) grown on a Hexagonal-SiC substrate is found to be enhanced greatly by capping the substrate with a molybdenum plate (Mo-plate) during vacuum annealing. The crystallinity enhancement of EG layer grown with Mo-plate capping is confirmed by the significant change of measured Raman spectra, compared to the spectra for no capping. Mo-plate capping is considered to induce heat accumulation on SiC surface by thermal radiation mirroring and raise Si partial pressure near surface by confining the sublimated Si atoms between SiC substrate and Mo-plate, which would be the essential contributors of crystallinity enhancementclose0

    Apprenticeships in Korea

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    행사명 : Korea Research Institute for Vocational Education and Trainin

    A Study on the Impacts of Intellectual Capitals on Organizational Performance: The Intellectual Property Office in Korea

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    This study analyzes the impacts of the intellectual capitals of the Korea Intellectual Property Office (KIPO) on organizational performance. In particular, the following have been analyzed: how KIPO's human capital, structural capital, and relational capital affect the activities of the organization's knowledge management; to what degree the levels of knowledge management activities affect the organization's performance; and to what extent the organization's performance varies in accordance with KIPO's intellectual capital levels. This study conducted empirical research and analysis of how the intellectual capitals that KIPO possesses activate knowledge management activities, and which intellectual capitals influence knowledge management and organizational performance. Furthermore, it derived strategic suggestions that can be used for making successful policy on intellectual capital management. The results of the study revealed that in order to enhance organizational performance, KIPO needs to make efforts to promote cognition on the importance of intellectual capitals that it holds, and adopt operational methods to raise the level of relational capitals

    Automatic Classification of Tremor Severity in Parkinson’s Disease Using a Wearable Device

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    Although there is clinical demand for new technology that can accurately measure Parkinsonian tremors, automatic scoring of Parkinsonian tremors using machine-learning approaches has not yet been employed. This study aims to fill this gap by proposing machine-learning algorithms as a way to predict the Unified Parkinson’s Disease Rating Scale (UPDRS), which are similar to how neurologists rate scores in actual clinical practice. In this study, the tremor signals of 85 patients with Parkinson’s disease (PD) were measured using a wrist-watch-type wearable device consisting of an accelerometer and a gyroscope. The displacement and angle signals were calculated from the measured acceleration and angular velocity, and the acceleration, angular velocity, displacement, and angle signals were used for analysis. Nineteen features were extracted from each signal, and the pairwise correlation strategy was used to reduce the number of feature dimensions. With the selected features, a decision tree (DT), support vector machine (SVM), discriminant analysis (DA), random forest (RF), and k-nearest-neighbor (kNN) algorithm were explored for automatic scoring of the Parkinsonian tremor severity. The performance of the employed classifiers was analyzed using accuracy, recall, and precision, and compared to other findings in similar studies. Finally, the limitations and plans for further study are discussed

    Superresolution TOA Estimation With Computational Load Reduction

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    Although the superresolution multipath delay profile (MDP) estimation technique enhances the time resolution of a low-resolution MDP by using matrix computations, the computational load for the matrix computations is a problem, because it drastically increases with the length of the MDP. Because positioning systems require the time of arrival (TOA) of the first path only, it is possible to reduce the computational load by applying the matrix computations only to the part of the MDP that is narrowed but still includes the TOA of the first path. This paper proposes a scheme for determining the observation window of MDP from the low-resolution TOA estimates, which are obtained from the MDPs produced by the pseudonoise correlation method. The proposed scheme makes use of the random nature of the low-resolution TOA estimates to further reduce the observation window. The computational efficiency and estimation accuracy of the proposed scheme are examined by channel simulations based on the Saleh–Valenzuela indoor channel model and are also compared with the computational efficiency and estimation accuracy of the conventional superresolution technique without the observation window reduction

    Highly Flexible Touch Screen Panel Fabricated with Silver Nanowire Crossing Electrodes and Transparent Bridges

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    A capacitive-type touch screen panel (TSP) composed of silver nanowire (AgNW) crossing electrodes and transparent bridge structures was fabricated on a polycarbonate film The transparent bridge structure was formed with a stack of Al-doped ZnO (AZO) electrodes and SU-8 insulator. The stable and robust continuity of the bridge electrode over the bridge insulator was achieved by making the side-wall slope of the bridge insulator low and depositing the conformal AZO film with atomic layer deposition. With an extended exposure time of photolithography, the lower part of the SU-8 layer around the region uncovered by the photomask can be exposed enough to the UV light scattered from the substrate. This leads to the low side-wall slope of the bridge insulator. The fabricated TSP sample showed a large capacitance change of 22.71% between with and without touching. Our work supplies the technological clue for ensuring long-term reliability to the highly flexible and transparent TSP made by using conventional fabrication processesclose
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