• Title/Summary/Keyword: Packaging method

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Development of Textile Metal Matrix Composites for Electronic Packaging (전자 패키징용 직조형 금속복합재료 개발)

  • 이상관;김진봉;홍순형
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2000.11a
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    • pp.183-186
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    • 2000

  • A new textile metal matrix composite fur electronic packaging was developed and characterized. The thermal management materials consist of a plain woven carbon fabric as reinforcement and pure aluminum as matrix. The finite element method has been utilized in the analysis of thermal stress between the constituent components of packaging. The prototype part was manufactured by the liquid pressurizing method. The composite has CTE values of 4 to $5{\times}10^{-6}\;^{\circ}C^{-1}$10 in the range of $25^{\circ}C$ ~ 175$^{\circ}C$, resulting in good agreement with electronic materials such as Si and GaAs.

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Image Retrieval Based on the Weighted and Regional Integration of CNN Features

  • Liao, Kaiyang;Fan, Bing;Zheng, Yuanlin;Lin, Guangfeng;Cao, Congjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.894-907
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    • 2022

  • The features extracted by convolutional neural networks are more descriptive of images than traditional features, and their convolutional layers are more suitable for retrieving images than are fully connected layers. The convolutional layer features will consume considerable time and memory if used directly to match an image. Therefore, this paper proposes a feature weighting and region integration method for convolutional layer features to form global feature vectors and subsequently use them for image matching. First, the 3D feature of the last convolutional layer is extracted, and the convolutional feature is subsequently weighted again to highlight the edge information and position information of the image. Next, we integrate several regional eigenvectors that are processed by sliding windows into a global eigenvector. Finally, the initial ranking of the retrieval is obtained by measuring the similarity of the query image and the test image using the cosine distance, and the final mean Average Precision (mAP) is obtained by using the extended query method for rearrangement. We conduct experiments using the Oxford5k and Paris6k datasets and their extended datasets, Paris106k and Oxford105k. These experimental results indicate that the global feature extracted by the new method can better describe an image.

  • https://doi.org/10.3837/tiis.2022.03.008 인용 PDF KSCI HTML