717,345 research outputs found

    Corrigendum

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    Hanaa Elsherbiny, Mohamed Kamal Ahmed, Mahmoud A. Elwany "Comparative Evaluation for Torque Control Strategies of Interior Permanent Magnet Synchronous Motor for Electric Vehicles", 65(3), pp. 244–261, 2021. (in this issue)https://doi.org/10.3311/PPee.16672When the above article was first published online Fig. 13 was missing. This has now been corrected in the online version.The correct version of Fig. 13 is published here

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    Yazid Berkani, Nabil Taib "Dual Input Z-source Indirect Matrix Converter for Grid Connected Hybrid Renewable Energy Systems", 65(3), pp. 218–226, 2021. (in this issue)https://doi.org/10.3311/PPee.18031When the above article was first published online Fig. 12 was incorrect. This has now been corrected in the online version.The correct version of Fig. 12 is published here

    Diffusion of network innovation : implications for adoption of internet services

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    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.Includes bibliographical references (p. 51-53).by Mark S. Shuster.B.S.M.Eng

    QoS oriented MapReduce Optimization for Hadoop Based BigData Application

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    International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc

    Combining cellular automata and local binary patterns for copy-move forgery detection

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    Detection of duplicated regions in digital images has been a highly investigated field in recent years since the editing of digital images has been notably simplified by the development of advanced image processing tools. In this paper, we present a new method that combines Cellular Automata (CA) and Local Binary Patterns (LBP) to extract feature vectors for the purpose of detection of duplicated regions. The combination of CA and LBP allows a simple and reduced description of texture in the form of CA rules that represents local changes in pixel luminance values. The importance of CA lies in the fact that a very simple set of rules can be used to describe complex textures, while LBP, applied locally, allows efficient binary representation. CA rules are formed on a circular neighborhood, resulting in insensitivity to rotation of duplicated regions. Additionally, a new search method is applied to select the nearest neighbors and determine duplicated blocks. In comparison with similar methods, the proposed method showed good performance in the case of plain/multiple copy-move forgeries and rotation/scaling of duplicated regions, as well as robustness to post-processing methods such as blurring, addition of noise and JPEG compression. An important advantage of the proposed method is its low computational complexity and simplicity of its feature vector representation

    Solving graph connectivity problems on JAGs

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    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.Includes bibliographical references (leaf 53).by Parry Husbands.M.S

    Heterogeneous multithreaded computing

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    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.by Howard J. LuM.Eng
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