310 research outputs found
Fact And Fiction – Japanese Social Norms in Mishima Yukio’s “Patiıotism”
As a member of a society, a writer’s works contain social norms. In that sense, it is possible to find out Mishima Yukio’s ideas on Japan and its people in the short story “Yūkoku”, which has been translated into English as “Patriotism”. The characters of the story are presumed to represent Mishima’s thoughts on the Emperor, the Japanese nation and Japanese women as well. Therefore, the analysis of this story enables the reader to understand the coherence between fact and fiction
A deep learning approach for motion segment estimation for pipe leak detection robot
The trajectory motion of a robot can be a valuable information to estimate the localization of an autonomous robotic system, especially in a very dynamic but structurally-known environments like water pipes where the sensor readings are not reliable. The main focus of this research is to estimate the location of meso-scale robots using a deep-learning-based motion trajectory segment detection system from recorded sensory measurements while the robot travels through a pipe system. The idea is based on the classification of the motion measurements, acquired by inertial measurement unit (IMU), by exploiting the deep learning approach. Proposed idea and utilized methodology are explained in the related sections and it is observed that convolutional neural network approach is quite powerful to overcome the unreliability of IMU data
Turkish Images in the Works of Three Extraordinary Japanese Writers
Japan, after almost 260 years of isolation, started to get to know more about the West. During this period, namely at the end of the nineteenth and the beginning of the twentieth centuries, the recognition of Turkey in Japan is remarkable. Many Japanese writers, though just a few of them actually visited Turkey, put Turkish images in their diaries and books. In this article, some of these materials are examined to define some clues for the quality of Turkish images
Does chlorhexidine affect the shear bond strengths of orthodontic brackets?
AbstractBackground/purposeThe purpose of this study was to examine the effect of 1% chlorhexidine (CHX) gel on the shear bond strength (SBS) of orthodontic brackets bonded with Transbond XT (XT, 3M Unitek) and Transbond Plus Self-Etching Primer (TSEP, 3M Unitek).Materials and methodsIn total, 75 extracted premolars were collected and randomly divided into five groups of 15 teeth each. Brackets were bonded to teeth using a different experimental technique for each group as follows: (I) (control): etch/dry/Transbond XT; (II) CHX gel/etch/dry/Transbond XT; (III) etch/dry/CHX gel/Transbond XT; (IV) dry/TSEP; and (V) CHX gel/dry/TSEP. All products were used according to the manufacturers’ instructions. An Instron Universal Testing Machine was used to directly apply an occlusal shear force onto the enamel-bracket interface at a speed of 0.5 mm/min. Residual adhesive on each tooth was evaluated using an adhesive remnant index (ARI). Analysis of variance was used to compare the SBS of the groups, and a Chi-squared test was used to compare ARI scores.ResultsGroup I had the highest mean SBS (16.47 ± 4.2 MPa), followed by Groups II (16.24 ± 4.5 MPa), III (13.08 ± 4.50 MPa), IV (11.95 ± 2.7 MPa) and V (11.16 ± 2.8 MPa). No statistical differences were observed between Groups I and II (P > 0.05) or between groups IV and V (P > 0.05). However, SBS scores for Groups IV and V were significantly lower than those of Groups I and II (P > 0.05). No significant difference was observed in ARI scores among any of the groups (P > 0.05). Prior application of CHX gel did not significantly affect the SBS of orthodontic bonding adhesives.ConclusionsCHX gel is thought to obviate initial caries lesions during fixed orthodontic treatment
CLEAN AND COST-EFFECTIVE DRY BOUNDARY LUBRICANTS FOR ALUMINUM FORMING*~e
with an unusual capacity to reduce sliding fiction (providing friction coefficients as low as . performance as an effective boundary lubricant
Robust feature space separation for deep convolutional neural network training
This paper introduces two deep convolutional neural network training techniques that lead to more robust feature subspace separation in comparison to traditional training. Assume that dataset has M labels. The first method creates M deep convolutional neural networks called {DCNNi}M i=1 . Each of the networks DCNNi is composed of a convolutional neural network ( CNNi ) and a fully connected neural network ( FCNNi ). In training, a set of projection matrices are created and adaptively updated as representations for feature subspaces {S i}M i=1 . A rejection value is computed for each training based on its projections on feature subspaces. Each FCNNi acts as a binary classifier with a cost function whose main parameter is rejection values. A threshold value ti is determined for ith network DCNNi . A testing strategy utilizing {ti}M i=1 is also introduced. The second method creates a single DCNN and it computes a cost function whose parameters depend on subspace separations using the geodesic distance on the Grasmannian manifold of subspaces S i and the sum of all remaining subspaces {S j}M j=1,j≠i . The proposed methods are tested using multiple network topologies. It is shown that while the first method works better for smaller networks, the second method performs better for complex architectures
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Novel Carbon Films for Next Generation Rotating Equipment Applications
This report describes the results of research performed on a new generation of low friction, wear resistant carbon coatings for seals and bearings in high speed rotating equipment. The low friction coatings, Near Frictionless Carbon (NFC), a high hydrogen content diamondlike carbon, and Carbide Derived Carbon (CDC), a conversion coating produced on the surfaces of metal carbides by halogenation, can be applied together or separately to improve the performance of seals and bearings, with benefits to energy efficiency and environmental protection. Because hard carbide ceramics, such as silicon carbide, are widely used in the seals industry, this coating is particularly attractive as a low cost method to improve performance. The technology of CDC has been licensed to an Illinois company, Carbide Derivative Technologies, Inc. (CDTI) to implement the commercialization of this material
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