12,090 research outputs found

    Secure Communication Based on Hyperchaotic Chen System with Time-Delay

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    This research is partially supported by National Natural Science Foundation of China (61172070, 60804040), Fok Ying Tong Education Foundation Young Teacher Foundation(111065), Innovative Research Team of Shaanxi Province(2013KCT-04), The Key Basic Research Fund of Shaanxi Province (2016ZDJC-01), Chao Bai was supported by Excellent Ph.D. research fund (310-252071603) at XAUT.Peer reviewedPostprin

    Superradiantly stable non-extremal Reissner-Nordstrom black holes

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    The superradiant stability is investigated for non-extremal Reissner-Nordstrom black hole. We use an algebraic method to demonstrate that all non-extremal Reissner-Nordstrom black holes are superradiantly stable against a charged massive scalar perturbation. This improves the results obtained before for non-extremal Reissner-Nordstrom black holes

    Hierarchy Composition GAN for High-fidelity Image Synthesis

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    Despite the rapid progress of generative adversarial networks (GANs) in image synthesis in recent years, the existing image synthesis approaches work in either geometry domain or appearance domain alone which often introduces various synthesis artifacts. This paper presents an innovative Hierarchical Composition GAN (HIC-GAN) that incorporates image synthesis in geometry and appearance domains into an end-to-end trainable network and achieves superior synthesis realism in both domains simultaneously. We design an innovative hierarchical composition mechanism that is capable of learning realistic composition geometry and handling occlusions while multiple foreground objects are involved in image composition. In addition, we introduce a novel attention mask mechanism that guides to adapt the appearance of foreground objects which also helps to provide better training reference for learning in geometry domain. Extensive experiments on scene text image synthesis, portrait editing and indoor rendering tasks show that the proposed HIC-GAN achieves superior synthesis performance qualitatively and quantitatively.Comment: 11 pages, 8 figure

    嶺南大學漢學國際研討會暨《嶺南學報》復刊工作會議綜述

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    2013年11月1-2日,嶺南大學漢學國際研討會暨《嶺南學報》復刊工作會議在香港嶺南大學隆重召開。是次會議由嶺南大學中文系主辦,來自中國大陸、香港、臺灣及海外地區的四十餘位學者出席會議。11月1日上午,嶺南大學中文系系主任許子東教授主持了會議開幕禮,鄭國漢校長致開幕辭。中文系講座教授、學報籌委會主席蔡宗齊教授向與會學者彙報了《嶺南學報》復刊籌備工作的進展。北京大學袁行霈教授作了題爲的書面主題報告。這次會議是為重新籌辦有著八十多年歷史、因種種原因而停刊的《嶺南學報》一事而召開的。研討主題只以漢學(國學)為限,這一設定為與會學者創造了最大的發揮空間。學者可以就個人研究興趣自由選題,提交論文
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