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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Jiaqi Yao National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan China

ISBN: (纸本)9781509047963

The tree-like structure is a common structure, which is used in many projects. Queries based on tree's attributes and queries based on node's attributes are the two frequently used query's patterns. However, the existing storage models don't support both of them efficiently. In this paper, we propose a hybrid storage model, which stores nodes and relations between nodes separately, and we also build the inverted index between nodes and trees. The experiment results show that the hybrid storage model is more efficient than the existing models.

关键词： Semantics signal processing

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Semi-automated extraction of retinal blood vessel network with Bifurcation and crossover points 12th

Semi-automated extraction of retinal blood vessel network wi...

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12th International Symposium on Visual Computing, ISVC 2016

作者： Nougrara, Z. Kihal, N. Meunier, J. Faculty of Mathematics and Computer Science Department of Mathematics University of Sciences and Technology of Oran Oran Algeria Signal and Image Processing Laboratory Electronics and Computer Science Faculty USTHB Algiers Algeria Department of Computer Science and Operations Research University of Montreal Montreal Canada

ISBN: (纸本)9783319508313

Among different retinal analysis tasks, blood vessel extraction plays an important role as it is often the first essential step before any measurement can be made for various applications such as biometric authentication or diagnosis of retinal vascular diseases. In this paper, we present a new method for extraction of blood vessel network with its nodes (bifurcation and crossover points) from retinal images. The first step is to identify pixels with homogeneous vessel elements with a set of four directional filters. Then another step is applied to extract local linear components assuming that a vessel is a set of short linear segments. Through an optimization process this information is combined to extract the vessel network and its nodes. The proposed algorithm was tested on the publicly available DRIVE retinal fundus image database. The experimental results show good precision, recal. The proposed algorithm was tested on the publicly available DRIVE retinal fundus image database. The experimental results show good precision, recall and F-measure compared to ground truth and a state-of-the-art algorithm for the same dataset. © Springer International Publishing AG 2016.

关键词： Blood vessels

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An Optimization Algorithm for Service Composition Based on an Improved FOA

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Tsinghua science and technology 2015年第1期20卷 90-99页

作者： Yiwen Zhang Guangming Cui Yan Wang Xing Guo Shu Zhao the School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University

Large-scale service composition has become an important research topic in Service-Oriented Computing（SOC）. Quality of Service（Qo S） has been mostly applied to represent nonfunctional properties of web services and to differentiate those with the same functionality. Many studies for measuring service composition in terms of Qo S have been completed. Among current popular optimization methods for service composition, the exhaustion method has some disadvantages such as requiring a large number of calculations and poor scalability. Similarly,the traditional evolutionary computation method has defects such as exhibiting slow convergence speed and falling easily into the local optimum. In order to solve these problems, an improved optimization algorithm, WS FOA（Web Service composition based on Fruit Fly Optimization Algorithm） for service composition, was proposed, on the basis of the modeling of service composition and the FOA. Simulated experiments demonstrated that the algorithm is effective, feasible, stable, and possesses good global searching ability.

关键词： service composition Fruit Fly Optimization Algorithm（FOA） Quality of Service（QoS） index

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MR-IDPSO: A Novel Algorithm for Large-Scale Dynamic Service Composition

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Tsinghua science and technology 2015年第6期20卷 602-612页

作者： Yanping Zhang Zihui Jing Yiwen Zhang School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui University

In the era of big data, data intensive applications have posed new challenges to the field of service composition. How to select the optimal composited service from thousands of functionally equivalent services but different Quality of Service(Qo S) attributes has become a hot research in service computing. As a consequence,in this paper, we propose a novel algorithm MR-IDPSO(Map Reduce based on Improved Discrete Particle Swarm Optimization), which makes use of the improved discrete Particle Swarm Optimization(PSO) with the Map Reduce to solve large-scale dynamic service composition. Experiments show that our algorithm outperforms the parallel genetic algorithm in terms of solution quality and is efficient for large-scale dynamic service composition. In addition,the experimental results also demonstrate that the performance of MR-IDPSO becomes more better with increasing number of candidate services.

关键词： Map Reduce service composition Quality of Service(

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Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

arXiv

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arXiv 2017年

作者： Cao, Xiangyong Zhou, Feng Xu, Lin Meng, Deyu Xu, Zongben Paisley, John IEEE IEEE School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China National Laboratory of Radar Signal Processing Xidian University Xi’an China NYU Multimedia and Visual Computing Lab New York University Abu Dhabi United Arab Emirates Department of Electrical Engineering & Data Science Institute Columbia University New YorkNY United States Columbia University China Scholarship Council

This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework. First, we formulate the HSI classification problem from a Bayesian perspective. Then, we adopt a convolutional neural network (CNN) to learn the posterior class distributions using a patch-wise training strategy to better use the spatial information. Next, spatial information is further considered by placing a spatial smoothness prior on the labels. Finally, we iteratively update the CNN parameters using stochastic gradient decent (SGD) and update the class labels of all pixel vectors using α-expansion min-cut-based algorithm. Compared with other state-of-the-art methods, the proposed classification method achieves better performance on one synthetic dataset and two benchmark HSI datasets in a number of experimental settings. Copyright © 2017, The Authors. All rights reserved.

关键词： Spectroscopy

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Pigmented skin lesion detection using random forest and wavelet-based texture 7

Pigmented skin lesion detection using random forest and wave...

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Optics in Health Care and Biomedical Optics VII

作者： Hu, Ping Yang, Tie-Jun College of Information Science and Engineering Guilin University of Technology Guilin541004 China Guangxi Key Laboratory of Spatial Information and Geometrics Guilin University of Technology Guilin541004 China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques Shantou University Shantou515063 China

ISBN: (纸本)9781510604674

The incidence of cutaneous malignant melanoma, a disease of worldwide distribution and is the deadliest form of skin cancer, has been rapidly increasing over the last few decades. Because advanced cutaneous melanoma is still incurable, early detection is an important step toward a reduction in mortality. Dermoscopy photographs are commonly used in melanoma diagnosis and can capture detailed features of a lesion. A great variability exists in the visual appearance of pigmented skin lesions. Therefore, in order to minimize the diagnostic errors that result from the difficulty and subjectivity of visual interpretation, an automatic detection approach is required. The objectives of this paper were to propose a hybrid method using random forest and Gabor wavelet transformation to accurately differentiate which part belong to lesion area and the other is not in a dermoscopy photographs and analyze segmentation accuracy. A random forest classifier consisting of a set of decision trees was used for classification. Gabor wavelets transformation are the mathematical model of visual cortical cells of mammalian brain and an image can be decomposed into multiple scales and multiple orientations by using it. The Gabor function has been recognized as a very useful tool in texture analysis, due to its optimal localization properties in both spatial and frequency domain. Texture features based on Gabor wavelets transformation are found by the Gabor filtered image. Experiment results indicate the following: (1) the proposed algorithm based on random forest outperformed the-state-of-the-art in pigmented skin lesions detection (2) and the inclusion of Gabor wavelet transformation based texture features improved segmentation accuracy significantly. © 2016 SPIE.

关键词： Decision trees

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Pessimistic multi-granulation rough set in incomplete information system

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Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia 2016年第2期39卷 203-208页

作者： Yao, Sheng Zhao, Peng Jin, Haijun Chu, Xiaofang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui230039 China School of Computer Science and Technology Hefei Anhui246011 China Quality and Technical Supervision and Inspection Center of QuZhou QuZhou Zhejiang324000 China Hefei Municipal Public Security Bureau Hefei Anhui230011 China

According to granular computing, Pawlak s rough set theory is based on a single granulation; however, multi-granulation rough set theory is applied to describe an uncertain concept by multiple binary relations. In this paper, the multi-granulation rough set approach with maximal consistent block technique has been introduced into the incomplete information system. Based on this maximal consistent block technique, a new pessimistic multi-granulation rough set in the incomplete information system is proposed. The lower and upper approximations of an uncertain set are defined based on this new model, and some properties are proposed for this new model.

关键词： Rough set theory

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Precision Analysis of an Analytical Method in Space Debris Orbit Prediction

Precision Analysis of an Analytical Method in Space Debris O...

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2016 International Conference on Computer Engineering,Information science & Application technology(ICCIA 2016)

作者： Bin Wang Huafeng Peng Kun Li National Key Laboratory of Science and Technology on Blind Signal Processing Southwest Electronics and Telecommunication Technology Research Institute

ISBN: (纸本)9781510830363

Using high precision laser ephemeris as reference, the precision of orbit prediction is analyzed of an analytical model which is formulated by quasi-analytical average method. The result shows that: the orbit prediction accuracy of MEO and LEO satellites is several hundred meters in 1 day and not more than 10 km in 7 days. The position error changes quickly over time. The calculation speed is fast using the analytical model. It can be used for precise orbit determination for a short term about 1 or 2 days. And it also can be used for the general accuracy of the long-term orbit prediction. But if the prediction time is too long, the accuracy will drop sharply.

关键词： Spacecraft Orbit prediction Precision analysis Quasi-analytical average method

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Continuous use of ERP-based BCIs with different visual angles in ALS patients

arXiv

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arXiv 2017年

作者： Jin, Jing Allison, Brendan Z. Zhang, Yu Chen, Yan Zhou, Sijie Dong, Yi Wang, Xingyu Chchocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Department of Neurology Huashan hospital Fudan University Shanghai China Department of Cognitive Science University of California at San Diego San DiegoCA United States Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Japan Systems Research Institute PAS Warsaw Poland Torun Poland

Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affected. There is currently no cure. Brain computer interfaces (BCIs) can establish a communication channel directly between the brain and an external device by recognizing brain activities that reflect user intent. Therefore, this technology could help ALS patients in promoting functional independence through BCI-based speller systems and motor assistive devices. Methods: In this paper, two kinds of ERP-based speller systems were tested on 18 ALS patients to: (1) assess performance when they spelled 42 characters online continuously, without a break;and (2) to compare performance between a matrix-based speller paradigm (MS-P, mean visual angle 6◦) and a new speller paradigm that used a larger visual angle called the large visual angle speller paradigm (LS-P, mean visual angle 8◦). Results: Although results showed that there were no significant differences between the two paradigms in accuracy trend over continuous use (p>0.05), the fatigue during the LS-P condition was significantly lower than that of MS-P (p Copyright © 2017, The Authors. All rights reserved.

关键词： Brain computer interface

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5G ENTERING INTO A NEW ERA

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China Communications 2017年第12期14卷 I0002-I0004页

作者： Feifei Gao Changle Li Jun Fang Kaizhi Huang Zhi Quan Chengwen Xing Jianhua Zhang Zhongshan Zhang Liqiang Zhao Yulong Zou Department of Automation Tsinqhua UniversityBeiiingChina the State Key Laboratory of Integrated Services Networks Xidian University china communications ieee communications magazine ieee signal processing letters national digital switching system engineering&technological research center the college of information engineering shenzhen university the school of information and electronics beijing institute of technology bupt itu-r imt-2020 channel model ieee comm the school of computer and communication engineering in the university of science and technology beijing(ustb) state key lab.of integrated ser vice networks xidian university the nanjing university of posts and telecommunications(nupt)

The ever increasing wireless data services, such asimaging, video, audio, multimedia, etc., have de-mands for the very high speed wireless communicationsand network, which are unfortunately a bottleneck whencombining with the wireline core network. Users＇ arenow expecting high quality of experience with low-costdevices, ubiquitous connectivity, energy efficiency, highreliability, or even ultra-low latency if a vehicle terminalis applied.

关键词： 5G ENTERING A NEW ERA

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