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1. 发明专利

CA2801655C AQUEOUS CROSS-LINKING COMPOSITIONS AND METHODS 未知
公开(公告)号：CA2801655C
公开(公告)日：2019-03-05
申请号：CA2801655
申请日：2011-06-06
申请人： YANG YONG , CHEN YUE , SHEERIN ROBERT J , MAUCK JEAN FREDRICK , TILARA NAVIN , GARCIA DE VISICARO JOHANNA
发明人： YANG YONG , CHEN YUE , SHEERIN ROBERT J , MAUCK JEAN FREDRICK , TILARA NAVIN , GARCIA DE VISICARO JOHANNA
IPC分类号： C09D5/00
摘要： Water-borne cross-linking polymeric compositions and related embodiments, such as methods of making and using the compositions, as well as products formed with said compositions are described. For example, the water-borne composition may comprise polymers incorporating cross-linking functionality such as, but not limited to, carbonyl or epoxy functionality, and a blocked cross-linking agent, for example, a hydrazone. The cross-linking functionality does not react with the blocked cross-linking agent; however, the blocked cross-linking agent is capable of reacting with the alternative form cross-linking agent such as, but not limited to, a hydrazide, to yield a cross-linked polymer. The alternative form cross-linking agent may be formed in an equilibrium reaction including the blocked cross-linking agent.

2. 发明专利

CA2801655A1 AQUEOUS CROSS-LINKING COMPOSITIONS AND METHODS 未知
公开(公告)号：CA2801655A1
公开(公告)日：2011-12-08
申请号：CA2801655
申请日：2011-06-06
申请人： YANG YONG , CHEN YUE , SHEERIN ROBERT J , MAUCK JEAN FREDRICK , TILARA NAVIN , GARCIA DE VISICARO JOHANNA
发明人： YANG YONG , CHEN YUE , SHEERIN ROBERT J , MAUCK JEAN FREDRICK , TILARA NAVIN , GARCIA DE VISICARO JOHANNA
IPC分类号： C09D5/00
摘要： Water-borne cross-linking polymeric compositions and related embodiments, such as methods of making and using the compositions, as well as products formed with said compositions are described. For example, the water-borne composition may comprise polymers incorporating cross-linking functionality such as, but not limited to, carbonyl or epoxy functionality, and a blocked cross-linking agent, for example, a hydrazone. The cross-linking functionality does not react with the blocked cross-linking agent; however, the blocked cross-linking agent is capable of reacting with the alternative form cross-linking agent such as, but not limited to, a hydrazide, to yield a cross-linked polymer. The alternative form cross-linking agent may be formed in an equilibrium reaction including the blocked cross-linking agent.

3. 发明申请

WO2007015980A2 LATEX PAINT FILM RESISTANT TO ADVERSE EFFECTS OF WATER, AND COMPOSITIONS AND METHODS FOR MAKING SAME 审中-公开
标题翻译：耐水不良影响的乳胶漆膜及其制备方法和组合物
公开(公告)号：WO2007015980A2
公开(公告)日：2007-02-08
申请号：PCT/US2006028484
申请日：2006-07-20
申请人： COLUMBIA INSURANCE CO , YANG YONG , ASIF MOHAMMAD , SHEERIN ROBERT J
发明人： YANG YONG , ASIF MOHAMMAD , SHEERIN ROBERT J
IPC分类号： C08F290/06
CPC分类号： C08F290/06 , C08F2/24 , C08K5/0041 , C08K5/06 , C08L75/04 , C09D5/027 , C09D7/45 , C09D125/14 , C09D133/08 , C09D133/14 , C09D135/06
摘要： A colorant composition containing a hydrophobic latex polymer component to impart resistance to water-softening and -staining in a paint film made from a latex paint formulated with the colorant composition, as well as the paint and paint film, and methods for making the foregoing.
摘要翻译：含有疏水性胶乳聚合物组分的着色剂组合物，以赋予由着色剂组合物配制的乳胶漆制成的漆膜中的水软化和耐湿性，以及油漆和漆膜，以及制备前述物质的方法。

4. 发明专利

AU2020100200A4 Content-guide Residual Network for Image Super-Resolution 未知
公开(公告)号：AU2020100200A4
公开(公告)日：2020-06-11
申请号：AU2020100200
申请日：2020-02-08
申请人： HUANG SHUYING DR , WU ZHENG MR , YANG YONG PROF
发明人： YANG YONG , WU ZHENG , HUANG SHUYING
IPC分类号： G06T3/40
摘要： Abstract: Single image super-resolution (SISR) has always received much attention, as one of the basic assignment of computer vision. The development and extensive exploration of deep learning have brought remarkable performance and index improvement to the SISR. However, most of existing CNN-based SISR methods concentrate on using wider or deeper architecture to obtain better results, while ignoring the portability of the network. The huge network structure expend too much computing resources, which constraint its application in mobile equipment. In order to address these problems, this patent advanced a content-based network, which can extract features more efficiently under the premise of ensuring quality and complexity. Experimental results testify that our network achieved better results compared with state-of-the-art SISR methods in terms of both objective indicators and visual quality.

5. 发明专利

AU2020100460A4 Single image deraining algorithm based on multi-scale dictionary 未知
公开(公告)号：AU2020100460A4
公开(公告)日：2020-04-30
申请号：AU2020100460
申请日：2020-03-26
申请人： HUANG SHUYING DR , XU YATING MISS , YANG YONG PROF
发明人： HUANG SHUYING , XU YATING , YANG YONG
IPC分类号： G06T5/00 , G06N20/00
摘要： We aim to remove the rain tracks from the rain images and retain the structure information of the original rain map to the greatest extent. Due to the complexity of the rain layer, the rainless background layer cannot be directly obtained at one time. Therefore, We according to the rain streaks of many aspects, such as sparsity, structural and directional information, proposed a new single image to the rain, which framework of the method through constant iterative update background layer, the sparse coefficient of the rain layer, the rain dictionary and a new rain layer, thereby gaining a free-rain image. Our main contribution can be divided into three parts: (I) A very effective convolutional sparse coding framework is proposed to iteratively update the rain layer and the background layer. (II) Considering the multi-scale characteristics of the noise rain layer information in the rain image taken in reality under different the depth of field, we proposed the method of learning multi dictionary, and carried out the convolution sparse coding for the raindrop information of different sizes (III) In the process of solving the rain layer, we proposed to use the multi-scale dictionary to solve the updated rain layer information, and to use the consistency of rain direction and the structure of raindrops to propose two prior constraints based on gradient, so as to obtain better results. Finally, ADMM algorithm is used to solve the model alternately to obtain the rainless image with rich details.

6. 发明专利

AU2020100421A4 A multi-level encryption scheme for H.265/HEVC based on syntax elements scrambling 未知
公开(公告)号：AU2020100421A4
公开(公告)日：2020-04-30
申请号：AU2020100421
申请日：2020-03-19
申请人： FANG YUMING , TU RONGXIN , WEN WENYING DR , YANG YONG , ZHANG YUSHU
发明人： WEN WENYING , TU RONGXIN , FANG YUMING , ZHANG YUSHU , YANG YONG
IPC分类号： H04N19/61 , H04N19/18
摘要： Abstract: High Efficiency Video Coding (HEVC) encryption can be encrypted by syntax elements. To our best known, almost all of current scheme of HEVC encryption encrypt the whole video in order to obtain unviewable information. However, it cannot meet the needs of all customers. In many cases, users would like visible information in encrypted video to satisfy their requirements. Aiming at this demand, we propose a multi-level encryption scheme in which each level can obtain different amount of information. First, we use AES-CTR to generate a pseudo-random number sequence. Then, the main syntax elements in H.265 /HEVC encoding process are encrypted by a pseudo-random sequence. In the process, only one syntax element is encrypted at a time. We find that the encryption of the luma and chroma intra prediction model (IPM) and the scrambling of DCT coefficient sign can achieve multi-level encryption of visual information. The experimental results meet our expectations. Meanwhile, users can flexibly choose the encryption level according to their various requirements. (a)b c) (d) e (i hp (0) (k) ()(q) i r) tsp (t) Fig.1 Proposed encryption approach applied to steam Akiyo and Bowing, demonstrating different amount of visual information in three levels. The first column: the original frames; the second column: encrypted frames with lightweight level encryption; the third column: encrypted frames with Medium level encryption;the fourth column: encrypted frames with heavyweight level encryption; the fifth column: decrypted frames of each levels.

7. 发明专利

AU2020100179A4 Optimization Details-Based Injection Model for Remote Sensing Image Fusion 未知
公开(公告)号：AU2020100179A4
公开(公告)日：2020-03-19
申请号：AU2020100179
申请日：2020-02-04
申请人： YANG YONG , WAN CHENXU , HUANG SHUYING , WEN WENYING
发明人： YANG YONG , WAN CHENXU , HUANG SHUYING , WEN WENYING
IPC分类号： G06T5/50 , G06N7/02 , G06T5/40 , G06T7/00
摘要： Abstract: With the rapid development of satellite sensors, remote sensing images have been widely applied. However, due to the limitations of sensor technology and other factors, the existing remote sensing sensors cannot get high spatial resolution (HR) multispectral (MS) images at the same time. This present patent investigates a method to reconstruct HRMS image that is combine with HR panchromatic (PAN) image and low spatial resolution (LR) MS image. First, the fusion high-frequency information of PAN and MS image is obtained by a low-rank fuzzy fusion (LRFF) model to fuse the high-frequency details of PAN and MS images. Then, the high-frequency information after fusion is compensated by detail compensation model as injection detail. Finally, the injection detail is injected into the upsampled LRMS image to achieve a fused image.

8. 发明专利

BG108932A PHARMACEUTICAL COMPOSITION COMPRISING ARSENITE FOR THE TREATMENT OF MALIGNANCY 未知
公开(公告)号：BG108932A
公开(公告)日：2005-11-30
申请号：BG10893204
申请日：2004-11-09
申请人： KOMIPHARM INTERNAT CO , LEE SANG , YANG YONG
发明人： LEE SANG , YANG YONG
IPC分类号： A61K31/00 , A61K33/34 , A61K33/36 , A61K45/06 , A61P35/00
摘要： The invention relates to a pharmaceutical composition for the treatment of a solid malignancy chosen from the group consisting of colon tumour, gastric tumour, mammary tumour, ovarian tumour, prostate tumour and renal tumor, said composition comprising a salt of meta-arsenite (AsO2-) and a pharmaceutically acceptable auxiliary. The invention also relates to its use and to a method of treatment.

9. 发明专利

AU2020100275A4 Remote sensing image super-resolution based on multi-dictionary sparse representation with fractal classification 未知
$Remote sensing image super-resolution based on multi-dictionary sparse representation with fractal classification$
公开(公告)号：AU2020100275A4
公开(公告)日：2020-03-26
申请号：AU2020100275
申请日：2020-02-25
申请人： HUANG SHUYING DR , WU XIN MISS , YANG YONG PROF
发明人： HUANG SHUYING , WU XIN , YANG YONG
IPC分类号： G06T3/40 , G06N20/00 , G06T5/00 , G06T7/136
摘要： Image super resolution technology has a wide range of applications in military, medical and other aspects of important application prospects, but also faced with a variety of problems. This patent studies a super-resolution technology of single remote sensing image. Firstly, the input high-resolution remote sensing image is blurred and sampled down to obtain the corresponding low-resolution image. Secondly, the low-resolution of the image is divided into a few patches, and to assess each small patch of fractal dimension, and according to the value size of the fractal dimension, the image patches are divided into two categories, texture patches and smooth patches. Thirdly, using the existing trained dictionary pairs for low-resolution texture and smooth patches corresponding to high-resolution image reconstruction. Finally, high-resolution image is synthesized from these small patches of high resolution.

10. 发明专利

AU2020100274A4 A Multi-Scale Feature Fusion Network based on GANs for Haze Removal 未知
公开(公告)号：AU2020100274A4
公开(公告)日：2020-03-26
申请号：AU2020100274
申请日：2020-02-25
申请人： HUANG SHUYING DR , LI HONGXIA MISS , YANG YONG PROF
发明人： HUANG SHUYING , LI HONGXIA , YANG YONG
IPC分类号： G06T5/00 , G06N3/02 , G06N20/00 , G06T7/10
摘要： Image is an important objective representation of natural things, which is the basis of human vision, but it is facing the problem of haze pollution. This patent investigates a deep image dehazing network based on multi-scale feature extraction of Generative Adversarial Networks (GANs). Firstly, we split the hazy images into 9 image blocks, which not only makes the haze removal faster, but also takes into account the fact that the haze concentration at different depths of the image is inconsistent. Secondly, the hazy image blocks are sequentially sent into the proposed multi-scale feature fusion GANs for training. Finally, a splicing operation is performed on the 9 dehazed image blocks, then a deep-guided filtering is applied to the spliced image to eliminate the block effect. Image Cutting Figure 1 c Figure 2

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