7,072 research outputs found
A Novel Integral Equation for Scattering by Locally Rough Surfaces and Application to the Inverse Problem: The Neumann Case
No full textThis paper is concerned with direct and inverse scattering by a locally perturbed infinite plane (called a locally rough surface in this paper) on which a Neumann boundary condition is imposed. A novel integral equation formulation is proposed for the direct scattering problem which is defined on a bounded curve (consisting of a bounded part of the infinite plane containing the local perturbation and the lower part of a circle) with two corners and some closed smooth artificial curve. It is a nontrivial extension of our previous work on direct and inverse scattering by a locally rough surface from the Dirichlet boundary condition to the Neumann boundary condition [SIAM J. Appl. Math., 73 (2013), pp. 1811--1829]. For the Dirichlet boundary condition, the integral equation obtained is uniquely solvable in the space of bounded continuous functions on the bounded curve, and it can be solved efficiently by using the Nyström method with a graded mesh. However, the Neumann condition case leads to an integral equation which is solvable in the space of squarely integrable functions on the bounded curve rather than in the space of bounded continuous functions, making the integral equation very difficult to solve numerically with the classic and efficient Nyström method. In this paper, we make use of the recursively compressed inverse preconditioning method developed by Helsing to solve the integral equation which is efficient and capable of dealing with large wave numbers. For the inverse problem, it is proved that the locally rough surface is uniquely determined from a knowledge of the far-field pattern corresponding to incident plane waves. Moreover, based on the novel integral equation formulation, a Newton iteration method is developed to reconstruct the locally rough surface from a knowledge of multiple frequency far-field data. Numerical examples are also provided to illustrate that the reconstruction algorithm is stable and accurate even for the case of multiple-scale profiles
Suicide among left-behind children: a meta-analysis.
No full textThis data is extracted from 16 articles which were comprehensively searched from seven electronic databases (PubMed, Web of Science, the Cochrane Library, BIOSIS Previews, China National Knowledge Infrastructure (CNKI), Wangfang database, Chinese Biomedical database (CBM)). The data The data is presented in two forms, namely, binary outcomes and events of groups. The data can be analyzed by stata or other software to pooled the prevalence of suicide ideation, suicide plan, and suicide attempt among left-behind children and also explore the association between left-behind and these suicide indicators
PCNN toolbox used in image fusion
No full textThis toolbox contains Matlab files that implement the image fusion algorithms based on Pulse Coupled Neural Networks(PCNN).
You can download this code from http://quxiaobo.go.8866.org/project/PCNN/PCNN_toolbox.rar
or http://dspace.xmu.edu.cn
This code is copyright and is supplied free of charge for research
purposes only. In return for supplying the code, all I ask is that, if
you use the algorithms, you give due reference to this work in any
papers that you write. If the applications are good, I would be
very interested in collaboration. I accept no liability arising from use
of these algorithms.
QU Xiao-BO,
Xiamen University in P.R.China, Aug. 2008.
% ---------
% Author: Qu Xiao-Bo Aug.28,2008
% Postal address:
% Rom 509, Scientific Research Building # 2,Haiyun Campus, Xiamen University,Xiamen,Fujian, P. R. China, 361005
% Website: http://quxiaobo.go.8866.org
%=====================================
% References:
[1]Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008.
[2]Xiao-Bo Qu,Jingwen Yan.Image Fusion Algorithm Based on Features Motivated Multi-channel Pulse Coupled Neural Networks, The 2nd International Conference on Bioinformatics and Biomedical Engineering-iCBBE2008，Shanghai, China, 16-18 May 2008, pp. 2103-2106
[3]Xiaobo Qu, Changwei Hu, Jingwen Yan, Image Fusion Algorithm Based On Orientation Information Motivated Pulse Coupled Neural Networks, The seventh World Congress on Intelligent Control and Automation-WCICA 2008，Chongqing, China,25-27 June 2008, pp.2437-2441
[4]Xiaobo Qu, Jingwen Yan, Ziqian Zhu, et al. Multi-focus image fusion algorithm based on regional firing characteristic of Pulse Coupled Neural Networks, Conference Pre-proceedings of The Second International Conference on Bio-Inspired Computing: Theories and Applications, pp:563-565,2007
[5]Yan Jingwen, QU Xiaobo. Beyond Wavelets and Its Applications [M].Beijing: National Defense Industry Press, June 2008.(In Chinese)
(Check http://quxiaobo.go.8866.org, http://quxiaobo.blog.edu.cn or http://naec.stu.edu.cn for these and
other related papers.)
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A Profile of Fatherhood Among Young Men: Moving Away from Their Birth Family and Closer to Their Child.
No full textHave things changed all that much in terms of how fatherhood is conceptualized and exercised in daily life? That is the question underlying this article. The author compares the findings of a recent analysis on certain aspects of the lived experiences of young fathers (under 25 years of age) with the results of studies undertaken over the past ten years, and replies in the affirmative. First of all, when considering the representations held of fathers or mothers, most of these young fathers believe that their role is a multi-faceted one, and that it is often identical to that of their spouse. According to young fathers, fatherhood is a dual experience that requires them to be present on a daily basis while also casting their eye on the future. This is an experience that is constructed out of affectionate moments, child-care duties, education in the literal sense, and especially out of shared experiences with their spouse. In addition, they question the degree to which involvement in a career should take precedence over involvement in their child's life. In other words, the former 'competes' with their ability to be present in their child's daily life, which denotes a change from the attitudes of previous generations.Fatherhood, Young Fathers, Representation, Paternal Identity, Qualitative Research
Xi you xi qu ji
No full textXiao shuo "Xi you ji" shi " shi dai lei ji xing cheng shu" de dian fan zhi zuo, zai qi cheng shu ji jie shou guo cheng zhong, " Xi you ji xi qu" shi bu ke huo que de zhong yao huan jie. Er dang xiao shuo "Xi you ji" wen shi yi hou, "Xi you ji xi qu" you cheng wei qi chuan bo liu bu de zhu yao qu dao zhi yi. "Xi you xi qu ji" hui ji li dai you guan xi you de xi qu, qi zhong bu fa ban ben xi jian zhe, bing dui qi jin xing xiang ying de zheng li, xiao zhu, dui zhuan ye yan jiu zhe he yi ban du zhe dou da you bi y
Matlab Image Fusion Toolbox for Sum-modified-Laplacian-based Multifocus Image Fusion Method in Cycle Spinning Sharp Frequency Localized Contourlet Transform
No full textThis toolbox contains Matlab files that implement the image fusion algorithms described in paper
QU Xiao-bo, YAN Jing-wen, YANG Gui-de. Sum-modified-Laplacian-based Multifocus Image Fusion Method in Sharp Frequency Localized Contourlet Transform Domain.Optics and Precision Engineering, 17(5): 1203-1202, June 2009. (in Chinese)
Chinese Version of this paper can be downloaded at
http://dspace.xmu.edu.cn/dspace/bitstream/2288/15999/1/SFLCT_SML_CS_Optics_and_Precision_Engineering_CN.pdf
English Version of this paper can be downloaded at
http://dspace.xmu.edu.cn/dspace/bitstream/2288/15999/2/SFLCT_SML_CS_Optics_and_Precision_Engineering_EN.pdf
(download Chinese version or English version)
If you use the code, please cite the paper as follows:
% References:
[1] QU Xiao-bo, YAN Jing-wen, YANG Gui-de. Sum-modified-Laplacian-based Multifocus Image Fusion Method in Sharp Frequency Localized Contourlet Transform Domain.Optics and Precision Engineering, 17(5): 1203-1202, June 2009. (in Chinese)
(Check http://quxiaobo.go.8866.org, http://quxiaobo.blog.edu.cn or http://naec.stu.edu.cn for these and
other related papers.)
QU Xiao-BO,
Xiamen University in P.R.China, April 2009.
Author: Qu Xiao-Bo Aug.28,2008
% Postal address:
% Rom 509, Scientific Research Building # 2,Haiyun Campus, Xiamen University,Xiamen,Fujian, P. R. China, 361005
% Website: http://quxiaobo.go.8866.org
%
You have to other toolbox required:
1. FusionEvalution toolbox at http://dspace.xmu.edu.cn/dspace/bitstream/2288/16979/1/FusionEvaluation.rar
2. Sharp Frequency Localized Contourlet Transform at http://lcavwww.epfl.ch/~lu/code/ContourletSD.zip
Acknowledgement
1. This code is copyright and is supplied free of charge for research
purposes only. In return for supplying the code, all I ask is that, if
you use the algorithms, you give due reference to this work in any
papers that you write. If the applications are good, I would be
very interested in collaboration. I accept no liability arising from use
of these algorithms.
2. Thanks Y. M. Lu for sharing his contourletSD code for our image fusion algorithm
Pi pa gu qu
No full textSide A : 古琴music by 二梁 ; 琵琶. 1. 夢蝶 / 梁越銘作曲. 2. 壯士行 / 梁在平作曲. 3. 塞上曲. 4. 春江花月夜 -- Side B. 1. Pian interview.Live recording.Possibly reproduced from other commercial recording or radio broadcast (Pending for review)"台北故宮博物院"--Spine."77.元.9"--Index.Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Various composers.Performers, unknown.Spoken in Chinese."Taibei gu gong bo wu yuan"--Spine."77. yuan. 9"--Index.Side A : Gu qin music by er Liang ; pi pa. 1. Meng die / Liang Yueming zuo qu. 2. Zhuang shi xing / Liang Zaiping zuo qu. 3. Sai shang qu. 4. Chun jiang hua yue ye -- Side B. 1. Pian interview
Beijing qu yi wan hui
No full textLive recording."若憲姐, 細姐, 大表哥, 博承义 曲藝night in Peking"--Container."單絃八角鼓"--Container.Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Performers, unknown.Performance on Jan 5,'75.Sung and spoken in Chinese."Ruoxian jie, xi jie, da biao ge, Bo Chengyi qu yi night in Peking"--Container."Dan xian ba jiao gu"--Container
Subject evaluation criteria for image fusion used in paper Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain
No full textThis toolbox contains Matlab files that implement the image fusion criteria used in my paper
Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008.
You can download this code from http://quxiaobo.go.8866.org/project/FusionEvaluation/FusionEvaluation.rar
The evaluation criteria are from the two papers:
Mutual information
Qu Guihong, Zhang Dali, Yan Pingfan. Information measure for performance of image fusion. Electronics Letters, 2002,38(7): 313-15.
Qab/f
Xydeas, C.S.; Petrovic, V., "Objective image fusion performance measure," Electronics Letters , vol.36, no.4, pp.308-309, 17 Feb 2000
This code is copyright and is supplied free of charge for research
purposes only. In return for supplying the code, all I ask is that, if
you use the algorithms, you give due reference to this work in any
papers that you write. If the applications are good, I would be
very interested in collaboration. I accept no liability arising from use
of these algorithms.
If you use the code, please cite one of the following papers that is related with your topic.
QU Xiao-Bo,
Xiamen University in P.R.China, Aug. 2008.
% ---------
% Author: Qu Xiao-Bo June 26, 2009
% Postal address:
% Rom 509, Scientific Research Building # 2,Haiyun Campus, Xiamen University,Xiamen,Fujian, P. R. China, 361005
% Website: http://quxiaobo.go.8866.org
%=============================================================
% References:
[1]Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008.
[2]Xiaobo Qu, Jingwen Yan, Guofu Xie, Ziqian Zhu, Bengang Chen. A novel image fusion algorithm based on bandelet transform. Chinese Optics Letters,5(10):569-572, Oct. 2007
[3]QU Xiao-bo, YAN Jing-wen, YANG Gui-de. Sum-modified-Laplacian-based multifocus image fusion method in sharp frequency localized contourlet transform domain. Optics and Precision Engineering, 17(5): 1203-1212, June 2009.(In Chinese)
[4]Xiao-Bo Qu,Jingwen Yan.Image Fusion Algorithm Based on Features Motivated Multi-channel Pulse Coupled Neural Networks, The 2nd International Conference on Bioinformatics and Biomedical Engineering-iCBBE2008，Shanghai, China, 16-18 May 2008, pp. 2103-2106
[5]Xiaobo Qu, Jingwen Yan. Multi-focus image fusion algorithm based on regional firing characteristic of Pulse Coupled Neural Networks, Proceedings of The Second International Conference on Bio-Inspired Computing: Theories and Applications-BIC-TA 2007,Zhenzhou, China, 14-17 Sep.2007, pp.62-66.
[5]Yan Jingwen, QU Xiaobo. Beyond Wavelets and Its Applications [M].Beijing: National Defense Industry Press, June 2008.(In Chinese)
(Check http://quxiaobo.go.8866.org, http://quxiaobo.blog.edu.cn or http://naec.stu.edu.cn for these and
other related papers.)
%=============================================================国家自然科学基金资助项目(No. 60472081) ;航空基础科学基金资助项目(No. 05F07001
Liu wang qu: ge, ge ju.
No full text江陵詞 ; 雪厂曲 ; 集體編劇雪厂, 葉瓊, 江凌.Music in number notation.Jiang Ling ci ; Xuechang qu ; ji ti bian ju Xuechang, Ye Qiong, Jiang Ling
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