316 research outputs found

    Acoustic manipulation of sound with soft material-based actuators

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    This thesis describes a unique parabolic acoustic manipulator with an inflatable structure, which has high gain and directivity. We created a morphable elastomeric reflecting surface with a diameter of 14 cm (6 in). Applying vacuum deforms the device into a concave structure, which provides directional amplification of incoming acoustic waves. In addition, the author characterized the impedance of the soft material employed in the acoustic reflector, Ecoflex 00-10, in an impedance tube. Ecoflex 00-10 has a measured reflection coefficient of approximately 0.9 at frequencies ranging from 500 Hz to 5000 Hz. This new characterization suggests this class of silicone-based elastomers is capable of advanced morphable devices to manipulate sound. Simulations also demonstrate that the soft reflecting surface is capable of transformation into a set of desired parabolic shapes between an initial planar geometry (neutral position) and a configuration with maximum curvature. With an applied vacuum, the membrane reaches its maximum deformation limited by the aluminum housing. At this stage of actuation, experimental results show the deformed membrane has similar gain and directionality (polar response) as rigid parabolic reflectors. This type of system might find future uses for adjustable parabolic microphones and long-range communication devices.M.S.Includes bibliographical referencesby Yanjun Wan

    Cheng shi yang ge duan ju ji

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    一場虛驚 : 小型歌劇 / 李建慶, 呂翎編劇 ; 張魯作曲 -- 賣糖姑娘 : 廣場秧歌劇 / 徐步編劇 ; 郭亮作曲 -- 遊京城 : 快板劇 / 李悦之編劇 -- 新態度 : 獨幕小歌劇 / 于雁軍編劇 ; 陳紫作曲.中央戲劇學院創作室編.Zhong yang xi ju xue yuan chuang zuo shi bian.Yi chang xu jing : xiao xing ge ju / Li Jianqing, Lü Ling bian ju ; Zhang Lu zuo qu -- Mai tang gu niang : guang chang yang ge ju / Xu Bu bian ju ; Guo Liang zuo qu -- You jing cheng : kuai ban ju / Li Yuezhi bian ju -- Xin tai du : du mu xiao ge ju / Yu Yanjun bian ju ; Chen Zi zuo qu

    Topology Optimization Design of Space Rectangular Mirror

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    A conceptual lightweight rectangular mirror is designed based on the theory of topology optimization and the specific structure size is determined through sensitivity analysis and size optimization in this paper. Under the load condition of gravity along the optical axis, compared with the mirrors designed by traditional method using finite element analysis method, the performance of the topology optimization reflectors supported by peripheral six points are superior in lightweight ratio, structure stiffness and the reflective surface accuracy. This suggests that the lightweight method in this paper is effective and has potential value for the design of rectangular reflector.</p

    AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

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    Abstract We introduce AudioEar3D, a high-quality 3D ear dataset consisting of 112 point cloud ear scans with RGB images, to benchmark the ear reconstruction task. We further collect a 2D ear dataset composed of 2,000 images, each one with manual annotation of occlusion and 55 landmarks, named AudioEar2D. To our knowledge, both datasets have the largest scale and best quality of their kinds for public use. Usage The code is publicly available at https://github.com/seanywang0408/AudioEar. The file organization of AudioEar3D is as following: AudioEar3D ├── 001 # left ear data ├── left.jpg # processed RGB image of left ear ├── left.ply # processed point cloud of left ear in canonical pose (frontal view is negative-X and upper view is positive-Z) ├── left.json # 56 landmark annotations of image ├── mask_left.jpg # mask generated by the outer landmarks ├── masked_left.jpg # exclude background in left.jpg using mask_left.jpg ├── masked_left.png # exclude background in left.jpg using mask_left.jpg, but with four channels of RGB-A # right ear data ├── right.jpg ... ├── masked_right.png ├── 002 ... ├── 056 The file organization of AudioEar2D is as following: AudioEar2D ├── 00000.png # processed ear image ├── 00000.json # landmark annotations ... ├── 69985.png # the index is aligned with the data source FFHQ. ├── 69985.json Citation If you find this project useful, currently please cite the paper as: Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li. "AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio". arXiv preprint arXiv:2301.12613, 2023. or using bibtex: @article{huang2023audioear, title={AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio}, author={Huang, Xiaoyang and Wang, Yanjun and Liu, Yang and Ni, Bingbing and Zhang Wenjun and Liu Jinxian and Li, Teng}, journal={arXiv preprint arXiv:2301.12613}, year={2023} } License The dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). The code is under Apache-2.0 License. Mirror Link We recommend users to download the data from Zenodo official link. However, if you find any downloading problem, you can also use this mirror link from Google Drive. Changelog v1.0: Initial repository of AudioEar3D and AudioEar2D

    Imaging the spread of reversible brain inactivations using fluorescent muscimol

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    Author manuscript. Published in final edited form as: J Neurosci Methods. 2008 June 15; 171(1): 30–38

    Zhongguo Qing dai gong ting ban hua

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    Table of contents for "Zhongguo Qing dai gong ting ban hua
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