检索结果-内蒙古大学图书馆

Picture array generation using flat splicing operation

Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3568-3577页

作者： Pan, Linqiang Nagar, Atulya K. Subramanian, K.G. Song, Bosheng School of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou Henan450002 China Department of Mathematics and Computer Science Faculty of Science Liverpool Hope University LiverpoolL16 9JD United Kingdom Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan Hubei430074 China

The operation of splicing on words was introduced by Tom Head while proposing a theoretical model of DNA recombination. Subsequent investigations on splicing on linear and circular strings of symbols have resulted in a number of theoretical properties. A different kind of splicing on two words, referred to as flat splicing, has been considered recently. This operation is extended to flat splicing on picture arrays, thus defining a new model of generation of digitized pictures, which is called as array flat splicing system (AFS). Results on the generative power of AFS in comparison with certain well-known picture array defining models and certain non-closure results are obtained. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Nanoscience

来源：评论

学校读者我要写书评

暂无评论

Pedestrian detection and counting based on ellipse fitting and object motion continuity for video data analysis 11th

Pedestrian detection and counting based on ellipse fitting a...

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Wang, Yaning Zhang, Hong College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China

ISBN: (纸本)9783319221793

In order to detect and count pedestrians in different kinds of scenes, this paper put forward a method of solving the problem on video sequences captured from a fixed camera. After preprocessing operations on the original video sequences (Gaussian mixture modeling, three-frame-differencing, image binaryzation, Gaussian filtering, dilation and erosion) we extract the relatively complete pedestrian contours. Then we use the least square ellipse fitting method on those contours that has been extracted, the center of the ellipse is undoubtedly regarded as the tracking point of a pedestrian. With those points, a pedestrian matching pursuit and counting algorithm based on object motion continuity is used for tracking and counting pedestrians, this method can be better used in those scenes which are sparse and rarely obscured. Experiments validate that our pedestrian matching pursuit and counting algorithm has obvious superiorities: good real-time performance and high accuracy. © Springer International Publishing Switzerland 2015.

关键词： Geometry

来源：评论

学校读者我要写书评

暂无评论

Achieving lightweight and fine-grained access control in mobile cloud computing 3

Achieving lightweight and fine-grained access control in mob...

引用

3rd information Science and Management Engineering Conference, ISME 2015

作者： He, Heng Tian, Chuan Jin, Yu Xia, Wei Wang, Yadan College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (纸本)9789897581632

Mobile cloud computing has emerged as one of the most promising technologies, which can greatly enlarge the application range of mobile devices by moving data storage and processing to powerful and centralized computing platforms located in clouds. However, how to keep data security and data privacy is an important and challenging issue when users outsource their sensitive data to mobile cloud for sharing. In this paper, we present a novel lightweight and fine-grained data access control scheme based on attribute-based encryption for mobile cloud computing. The analysis shows that the proposed scheme can meet the security requirement of mobile cloud computing, and provide flexible and expressive data access control policy. Furthermore, it has less computation cost compared with other schemes.

关键词： Access control

来源：评论

学校读者我要写书评

暂无评论

Implementation of 3-D RDPAD algorithm on follicle images based CUDA 1

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Jiang, Hongwei Liu, Jun Luo, keyang Hu, Wei Liu, Xiaoming College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (数字)9783319221861

ISBN: (纸本)9783319221854

The 3-D Robust Detail Preserving Anisotropic Diffusion (3-D RDPAD) is an anisotropic diffusion which has many advantages on 3-D ultrasound image processing, especially in 3-D cattle follicle ultrasound Images. The 3-D RDPAD algorithm has good performance both in noise suppression and edge preserving. However, the computation of 3-D RDPAD algorithm requires a huge amount of time to complete because it directly operates on the 3-D image and it has logical judgment in every iteration. In this paper, we proposed a 3-D Parallel RDPAD algorithm using CUDA to solve this problem. By optimizing the logical judgment in diffusion stop condition, the speed of 3-D RDPAD algorithm has a notable improvement. We performed our algorithm on 3-D cattle follicle ultrasound Images and the result of the experiments showed that it revealed a great speedup over the original 3-D RDPAD. © Springer International Publishing Switzerland 2015.

关键词： Diffusion

来源：评论

学校读者我要写书评

暂无评论

Sparse learning for robust background subtraction of video sequences 11th

Sparse learning for robust background subtraction of video s...

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Luo, Yuhan Zhang, Hong College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (纸本)9783319221793

Sparse representation has been applied to background detecting by finding the best candidate with minimal reconstruction error using target templates. However most sparse representation based methods only consider the holistic representation and do not make full use of the sparse coefficients to discriminate between the foreground and the background. Learning overcomplete dictionaries that facilitate a sparse representation of the data as a liner combination of a few atoms from such dictionary leads to state-of-the-art results in image and video restoration and classification. To take these challenges, this paper proposes a new method for robust background detecting via sparse representation. Our method explores both the strength of the well-patch adaptive dictionary learning technique to video frame structure analysis and the robustness background detection by the l1-norm data-fidelity term. By using linear sparse combinations of dictionary atom, the proposed method learns the sparse representations of video frame regions corresponding to candidate particles. The experiments show that the proposed method is able to tolerate the background clutter and video frame deterioration, and improves the existing detecting performance. © Springer International Publishing Switzerland 2015.

关键词： Image representation

来源：评论

学校读者我要写书评

暂无评论

Improved dendritic cell algorithm with false positives and false negatives adjustable 1

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Yuan, Song Xu, Xin College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (数字)9783319221809

ISBN: (纸本)9783319221793

In order to overcome the blindness of the evaluation on contexts in the classical Dendritic Cell Algorithm (DCA), how weight matrixes influence detection results is analyzed, and two kinds of DCA which can adjust false positives and false negatives are proposed. The first one is the improved voting DCA, the Tendency Factor (TF) is involved in the Dendritic Cell (DC) state transition to assess contexts fairly, and through the fine adjustment of TF false positives and false negatives of detection results are controlled;the other one is the scoring DCA, in the DC state transition phase the evaluation of contexts is ignored, instead, the antigen is directly given a score, then according to the distribution of average scores of antigens the anomaly threshold value can be adjusted to control false positives and false negatives. Experiments show that the two algorithms can both effectively realize results controlled, comparatively the scoring DCA is more intuitive. © Springer International Publishing Switzerland 2015.

关键词： Data fusion

来源：评论

学校读者我要写书评

暂无评论

A 3-D robust detail preserving anisotropic diffusion for speckle reduction in 3-D cattle follicle ultrasound image

A 3-D robust detail preserving anisotropic diffusion for spe...

引用

作者： Liu, Jun Jiang, Hongwei Liu, Xiaoming School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

In this paper, an anisotropic diffusion filtering algorithm is proposed by modifying the diffusion coefficient and the instantaneous coefficient of variation (ICOV). This algorithm can reduce the speckle in the ultrasound image effectively and well preserve an image's edges and details compared with the 3-D speckle reducing anisotropic diffusion filtering (3DSRAD). We applied this algorithm on a real 3-D ultrasound image and the result shows that the modified algorithm is less sensitive to the number of iterations than conventional 3D speckle, thus reducing anisotropic diffusion filtering. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： Speckle

来源：评论

学校读者我要写书评

暂无评论

An improved mixed-type data based kernel clustering algorithm

An improved mixed-type data based kernel clustering algorith...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Min Ren Peiyu Liu Zhihao Wang Xiao Pan School of Mathematic and Quantitative Economics Shandong University of Finance and Economics Jinan Shandong province China School of Information Science and Engineering Shandong Normal University Jinan Shandong province China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan Shandong province China

ISBN: (纸本)9781509040940

Clustering algorithm is often used to analyze the communication data for network intrusion detection system. However, network communication data are mixed, e.g., numerical and categorical data. So, at first, this paper put forward a method for representing the cluster center (prototype) of mixed-type data. Then respectively in combination with the continuity characteristic of the numerical attributes and the semantic feature of the categorical attributes, the dissimilarity measurement formula was improved by use of the Gauss kernel function, on the base of which, defined the objective function. After that this paper further put forward an Improved Mixed-type Data based Kernel Clustering Algorithm (IKCA-MD), which showed a stable clustering result because the initial cluster centers are obtained by Maximum Density and Distance method (MDD). Finally the feasibility and effectiveness of the method for the network intrusion detection were verified by experiments.

关键词： Clustering algorithms Kernel Prototypes Intrusion detection Linear programming Training Testing

来源：评论

学校读者我要写书评

暂无评论

Microblog Orientation Analysis Based on Connnectives 10

Microblog Orientation Analysis Based on Connnectives

引用

10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015

作者： Zhao, Jun Wang, Hong School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250014 China

ISBN: (纸本)9781467383158

At present, a larger number of researchers analyzed Micro-blog orientation and they concentrated their energy on emotional words, adverb and negative words without considering the impact of other emotional factors, such as the coordinative relation, progressive relation and adversative relation. So a method studying the sentiment polarity of associated words was proposed. The structure characteristics of associated words were analyzed sufficiently, and a turning words dictionary, a Chinese emotion dictionary and a negative words dictionary were founded based on the existing dictionary. This paper considers the combination laws of negative words, adversative words and conjunctions into Micro-blog. In the experiments, we verify this method can analyze the sentiment polarity of transition sentences efficiently and also has higher classification accuracy. © 2015 IEEE.

关键词： Chinese Microblog Connectives Emotional Dictionary Orientation Analysis SVM

来源：评论

学校读者我要写书评

暂无评论

Locally linear representation manifolds margin 11th

Locally linear representation manifolds margin

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Li, Bo Wang, Yun-Qing Lei, Lei Fan, Zhang-Tao School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China

ISBN: (纸本)9783319221793

In this paper, a novel supervised multiple manifolds learning method is presented for dimensionality reduction, which is titled locally linear representation manifold margin (LLRMM). In the proposed LLRMM, both an inter-manifold graph and intra-manifold graph are constructed, where any point in the inter-manifold graph must select neighbors from other manifolds while the neighborhood in the intra-manifold graph are composed of samples from the same manifold. Then the least locally linear representation technique is introduced to optimize the reconstruction weights as well as the corresponding inter-manifold scatter and intra-manifold scatter, based on which manifolds margin can be reasoned. At last, a discriminant subspace is explored. Experiments on some benchmark face data sets have been conducted and experimental results show that the proposed method outperforms some related state-of-the-art dimensionality reduction methods. © Springer International Publishing Switzerland 2015.

关键词： computers

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：