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作者： Liu, Shiguang Xu, Yixin Noh, Junyong Tong, Yiying School of Computer Science and Technology Tianjin University Tianjin 300072 China KAIST 373-1 Guseong-dong Yuseong-gu Daejeon Korea Republic of Department of Computer Science and Engineering Michigan State University East Lansing MI 48824 United States Tianjin Key Laboratory of Cognitive Computing and Application Tianjin 300072 China

While small-scale fluid details are crucial elements for the creation of visually pleasing fluid animations, their synthesis often requires heavy computation with traditional grid-based fluid simulation methods. This paper proposes a novel method for enhancing the appearance of small-scale details through frequency-domain analysis. Different fromprevious work, our method detects and improves fluid details in the frequency-domain via lifting wavelet decomposition. Based on a coarse-to-fine mechanism, the lifting wavelet composition first transforms the velocity in a fine grid into the frequency domain. Next, the velocity field is enhanced separately for different frequency bands. A novel velocity fusion method is developed for the enhancement of low-frequency parts. On the other hand, high-frequency parts are enhanced using a specially designed vorticity confinement method. Finally, the application of the inverse lifting wavelet transform determines the final velocity field with increased fine details. Our method can generate perceptually interesting fluid details, matching human visual perception theory. The results of various experiments validate the effectiveness and efficiency of our method. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： Velocity

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High voltage circuit breaker on-line monitoring system

High voltage circuit breaker on-line monitoring system

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2014 3rd International Conference on Intelligent System and Applied Material, GSAM 2014

作者： Fu, Chao Hao, Jing Province-Ministry Joint Key Laboratory of Electromagnetic field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China Hebei Normal University 050024 China School of Control Science and Engineering Hebei University of Technology Tianjin 300130 China Department of Computer Application Shijiazhuang Information Engineering Vocational College 050000 China

ISBN: (纸本)9783038350361

The high voltage circuit breaker is an important power system equipment. The reliability of its running relationship with the safe operation of the entire power system. High voltage circuit breaker on-line monitoring system enables real-time monitoring of various parameters during the operation in which the circuit breaker, and the use of communication to achieve data transfer bus information. Through monitoring points, closing coil current signals to constitute the core of C8051F online monitoring unit via RS-485 serial bus will monitor information is uploaded to the master computer. © (2014) Trans Tech Publications, Switzerland.

关键词： Data transfer

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Output Feature Augmented Lasso

Output Feature Augmented Lasso

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IEEE International Conference on Data Mining (ICDM)

作者： Changqing Zhang Yahong Han Xiaojie Guo Xiaochun Cao School of Computer Science and Technology Tianjin University Tianjin Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin State Key Laboratory of Information Security Chinese Academy of Sciences Beijing

ISBN: (纸本)9781479943012

Lasso simultaneously conducts variable selection and supervised regression. In this paper, we extend Lasso to multiple output prediction, which belongs to the categories of structured learning. Though structured learning makes use of both input and output simultaneously, the joint feature mapping in current framework of structured learning is usually application-specific. As a result, ad hoc heuristics have to be employed to design different joint feature mapping functions for different applications, which results in the lackness of generalization ability for multiple output prediction. To address this limitation, in this paper, we propose to augment Lasso with output by decoupling the joint feature mapping function of traditional structured learning. The contribution of this paper is three-fold: 1) The augmented Lasso conducts regression and variable selection on both the input and output features, and thus the learned model could fit an output with both the selected input variables and the other correlated outputs. 2) To be more general, we set up nonlinear dependencies among output variables by generalized Lasso. 3) Moreover, the Augmented Lagrangian Method (ALM) with Alternating Direction Minimizing (ADM) strategy is used to find the optimal model parameters. The extensive experimental results demonstrate the effectiveness of the proposed method.

关键词： Correlation Kernel Training Joints Vectors Linear programming Input variables

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Copyright protection in named data networking

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Xiaobin Tan Zifei Zhou Cliff Zou Yukun Niu Xin Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China China Department of Electrical Engineering and Computer Science University of Central Florida USA

As a new Internet architecture, Named Data Networking (NDN) decouples location from the data itself to achieve security, scalability, and mobility. Although router-side data caching used in NDN reduces data acquisition delay, it introduces a new copyright protection challenge: how to prevent unauthorized users to retrieve data cached in routers that are out of the control of its publisher? Current approaches that rely on a common encryption key among authorized users cannot protect copyright well since if one authorized user secretly leaks the key, we cannot tell who has leaked the key out. In this paper, we present a split-based scheme to solve this copyright protection problem for large-sized data. The data is split into a large part that could be cached in routers for all users to retrieve, and a small part that is unique for each authorized user. This scheme exploits the fact that in the bit-wise OR operation, both bit 0 and bit 1 can OR with 1 to generate the same result of bit 1. The analysis of our scheme shows that it has a good performance in terms of copyright protection, data retrieval efficiency, and overhead.

关键词： Copyright protection Encryption Watermarking Internet computer architecture Receivers

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Textile Image Segmentation through Region Action Graph and Novel Region Merging Strategy

Textile Image Segmentation through Region Action Graph and N...

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International Conference on Virtual Reality and Visualization (ICVRV)

作者： Huorong Luo Shiguang Liu School of Computer Science and Technology Tianjin University Tianjin P.R. China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin P.R. China

Textile image segmentation is widely used in textile industry design, since users often need to reconstruct and redesign the patterns of the textile image. Different from traditional image segmentation methods, this paper focused on handling textile images, which received little attention until now. Taking into account the characteristics of textile, this paper proposed a novel graph theory and region merging strategy based textile image segmentation method. Our method first generated the over-segmented image by applying the graph-based image segmentation on the original image. Then we extracted the predominant color to mark the background segments. The region action graph was proposed to improve the conventional region adjacency graph before building the region relation graph for the following region merging. It can greatly improve the segmentation quality since textile image usually includes the regions with complex distribution of different colors. In the phase of region merging, we formulated it as designing merging criterions for the relate regions with geometry properties, such as globalist, locality, and spatial continuity. Extensive experiments were performed and the results showed that our method can reliably segment the textile images into sections with perceptual meaning. Additionally, our method is simple and efficient, with great potential in practical applications.

关键词： Image segmentation Textiles Image color analysis Merging Image edge detection Geometry Filtering

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SLA aware cost efficient virtual machines placement in cloud computing

SLA aware cost efficient virtual machines placement in cloud...

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IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： Jiangtao Zhang Zhixiang He Hejiao Huang Xuan Wang Chonglin Gu Lingmin Zhang School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Public Service Platform of Mobile Internet Application Security Industry Shenzhen China Shenzhen Key Laboratory of Internet of Information Collaboration Shenzhen China Shenzhen Applied Technology Engineering Laboratory for Internet Multimedia Application Shenzhen China

ISBN: (纸本)9781479975761

Servers and network contribute about 60% to the total cost of data center in cloud computing. How to efficiently place virtual machines so that the cost can be saved as much as possible, while guaranteeing the quality of service plays a critical role in enhancing the competitiveness of service cloud provider. Considering the heterogeneous servers and the random property of multiple resources requirements of virtual machines, the problem is formulated as a multi-objective nonlinear programming in this paper. Virtual machine cluster with higher traffic is made staying together. This reduces the communication delay while saving the inter-server bandwidth consumption, especially the relatively scarce higher level bandwidth, by exploiting the topology information of data center. At the same time, statistic multiplex and newly defined “similarity” techniques are leveraged to consolidate virtual machines. The violation of resource capacity is kept at any designated minimal probability. Thus the quality of service will not be deteriorated while saving servers and network cost. An offline and an online algorithms are proposed to address this problem. Experiments compared with several baseline algorithms show the validity of the new algorithms: more cost is cut down at less computation effort.

关键词： Bandwidth Servers Cloud computing Topology Multiplexing Correlation Clustering algorithms

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Proving and disproving information inequalities

Proving and disproving information inequalities

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IEEE International Symposium on Information Theory

作者： Siu-Wai Ho Chee Wei Tan Raymond W. Yeung Institute for Telecommunications Research University of South Australia Department of Computer Science City University of Hong Kong Key Laboratory of Network Coding Key Technology and Application The Chinese University of Hong Kong Shenzhen China

Proving an information inequality is a crucial step in establishing the converse results in coding theorems. However, an information inequality involving many random variables is difficult to be proved manually. In [1], Yeung developed a framework that uses linear programming for verifying linear information inequalities. Under this framework, this paper considers a few other problems that can be solved by using Lagrange duality and convex approximation. We will demonstrate how linear programming can be used to find an analytic proof of an information inequality. The way to find a shortest proof is explored. When a given information inequality cannot be proved, the sufficient conditions for a counterexample to disprove the information inequality are found by linear programming.

关键词： Cramer-Rao bounds Entropy Random variables Joints Linear programming Channel coding

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Switching Memory: An Optoelectronic Resistive Switching Memory with Integrated Demodulating and Arithmetic Functions (Adv. Mater. 17/2015)

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Advanced Materials 2015年第17期27卷

作者： Hongwei Tan Gang Liu Xiaojian Zhu Huali Yang Bin Chen Xinxin Chen Jie Shang Wei D. Lu Yihong Wu Run‐Wei Li Key Laboratory of Magnetic Materials and Devices Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo 315201 PR China Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo 315201 PR China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan 48109 USA Information Storage Materials Laboratory Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 Singapore

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Research on illumination invariance colour index algorithm based on colour ratio

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computer Modelling and New Technologies 2014年第6期18卷 360-364页

作者： Cai, Fei Wang, Wenjun School of Computer Science and Technology Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China School of Civil Engineering Shandong Jianzhu University Jinan China

Statistics of colour value of each pixel in the image are output in traditional colour histograms. Therefore, though the two same images photographed in different illuminations are consistent in colour content, they have different colour distributions in the histograms. To solve the problem, this paper introduces an illumination invariance colour index algorithm based on colour ratio. According to the colour constancy theory, although colour values of its pixels will be changed once the image is subject to illumination, colour ratios remain unchanged. Colour ratio refers to the ratio between two contiguous pixels. As per colour ratios, colour ratio image may be obtained, which depicts obvious boundaries or margins of the image content so that we statistics of colour ratio histogram can be obtained as an index mechanism to remove illumination effect. Verified by lots of tests, this method can extract useful colour characteristics and remove illumination effect, so that it can be practically used in effective computer recognition of objects in traffic videos.

关键词： Pixels

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Evaluating dataflow vulnerabilities of scientific workflow based on data dependency patterns

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Journal of Computational Information Systems 2013年第12期9卷 4861-4868页

作者： Fu, Xiaodong Liu, Li Feng, Yong Liu, Xiaoyan Zhang, Jing Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China

If potential contributors leading to system failure can be identified when a scientific workflow is modelled, a lot of system vulnerabilities may thus be revealed and improved. In this paper, we first use data dependency patterns to describe dataflow in a scientific workflow. Then, the state function that describes the causal relations leading to incorrect state of an output is presented. We use a series of fault tree symbols to illustrate the state functions. Thus, fault tree analysis method is used to identify critical elements and elements combinations that lead to the incorrect state of any output item and calculate the probability of the incorrect state based on the probabilities of the basic events in the analysed workflow. Finally, an importance measure is designed to prioritize the contributors of system failure. The feasibility and effectiveness of the proposed methods are proved by example and experiments. © 2013 by Binary Information Press.

关键词： Fault tree analysis

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