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Bipartite graph model for RDF data cleansing

computer Modelling and New Technologies 2014年第2期18卷 99-106页

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

Many systems use RDF to describe information resources and semantic associations between resources. RDF data plays a very important role in advanced information retrieval. Due to diversity and imprecise of resources, duplicates exist in RDF data. The query and retrieval of RDF data are studied by many researchers. However, researchers seldom study RDF data cleansing. In this paper, we focus on RDF data cleansing. According to the features of RDF data, we propose a new approach. This approach combines similarity and connections among resources. First, we introduce an intermediate model, named RDF-Bipartite Graph model, to represent the RDF data. This model improves from Bipartite Statement-Value Graphs model. Then on the proposed model, we design a Subgraph-Extend method, to find the path connecting two nodes. This method detects the minimum subgraph containing two nodes for connect-path finding. It avoids the connect-weight setting in traditional method. Experiments on publication datasets show that the proposed method is efficient in duplicate detection of RDF data, and has high performance and accuracy.

关键词： Graph theory

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Vessel segmentation in retinal images with a multiple kernel learning based method

Vessel segmentation in retinal images with a multiple kernel...

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International Joint Conference on Neural Networks (IJCNN)

作者： Xiaoming Liu Zhigang Zeng Xiaoping Wang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education Wuhan China

Blood vessel segmentation is an important problem for quantitative structure analysis of retinal images, and many diseases are related to the structure changes. Manual segmentation is time consuming and computer aided segmentation is required to deal with large amount images. This paper presents a new supervised method for segmentation of blood vessels in retinal photographs. Multiple kernel learning (MKL) is introduced to deal with the problem, utilizing features from Hessian matrix based vesselness measure, response of multiscale Gabor filter, and multiple scale line strength features. The method is evaluated on the publicly available DRIVE and STARE databases. The performance of the MKL method is evaluated and experimental results show the high accuracy of the proposed method.

关键词： Image segmentation Retina Biomedical imaging Kernel Blood vessels Accuracy Support vector machines

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Mobile user stability prediction with Random Forest model

Mobile user stability prediction with Random Forest model

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International Conference on Data Science and Advanced Analytics (DSAA)

作者： Danqin Wang Xiaolong Zhang Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory Wuhan China School of Computer Science and Technology Wuhan University of Science and Technology

Accompanying increasing competition among the communication industry, maintaining and improving the stability and loyalty of customers has become the key determinant of profitability. In order to prevent the loss of customers, we need to identify the stable users by data mining model. Through the evaluation of three models, Random Forest model performs with better robustness. This model can describe and predict most of the stable users in a shorter period of time. Consequently, the result will provide operators with the advantage of adopting reasonable marketing tactics timely.

关键词： Stability analysis Profitability Analytical models Prediction algorithms Logistics Accuracy

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Expectation propagation approach to joint channel estimation and decoding for OFDM systems

Expectation propagation approach to joint channel estimation...

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2014 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2014

作者： Wu, Sheng Kuang, Linling Ni, Zuyao Lu, Jianhua Huang, Defeng David Guo, Qinghua Department of Electronic Engineering Tsinghua University China Tsinghua Space Center Tsinghua University China Research Institute of Information Technology Tsinghua University China Shenzhen Key Laboratory of Wireless Broadband Communication and Signal Processing China School of Electrical Electronic and Computer Engineering University of Western Australia Australia School of Electrical Computer and Telecommunications Engineering University of Wollongong Australia

ISBN: (纸本)9781479928927

We propose a message-passing algorithm of joint channel estimation and decoding for OFDM systems, where expectation propagation is exploited to deal with channel estimation. Specially, the message updating is formulated into a recursive form. As a result, for system with K subcarriers and L channel taps, only O(K + L) messages need to be tracked, and meanwhile they can be efficiently calculated using FFT with complexity O(K-A- + K log2 K), where -A- denotes the constellation size. Numerical experiments show that our algorithm achieves BER performance within 0.5 dB of the known-channel bound. © 2014 IEEE.

关键词： Orthogonal frequency division multiplexing

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Research of data secure based on cloud computing

Research of data secure based on cloud computing

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IEEE Workshop on Electronics, computer and Applications (IWECA)

作者： Yan-rong Shi Xiao-fang Zhao Shu-yin Chen Key Laboratory of Intelligent Information Processing in Universities of Shandong Shandong Institute of Business and Technology Yantai China School of Computer Science and Technology Shandong Institute of Business and Technology Yantai China

Cloud computing has brought new opportunities for the development of traditional industries, but also appeared some new security risks. This paper analyzes the main data security problems in cloud computing field, and... 详细信息

关键词： Educational institutions Instruction sets Servers Character recognition Monitoring Computational modeling Data models

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Extraction of interface state density and resistivity of suspended p-type silicon nanobridges

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Journal of Semiconductors 2013年第5期34卷 7-12页

作者：张加宏刘清惓葛益娴顾芳李敏冒晓莉曹鸿霞 Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science & Technology College of Physics & Opto-Electronic Engineering Nanjing University of Information Science & Technology

The evaluation of the influence of the bending deformation of silicon nanobridges on their electrical properties is crucial for sensing and actuating applications. A combined theory/experimental approach for de- termining the resistivity and the density of interface states of the bending silicon nanobridges is presented. The suspended p-type silicon nanobridge test structures were fabricated from silicon-on-insulator wafers by using a standard CMOS lithography and anisotropic wet etching release process. After that, we measured the resistance of a set of silicon nanobridges versus their length and width under different bias voltages. In conjunction with a theoretical model, we have finally extracted both the interface state density of and resistivity suspended silicon nanobridges under different bending deformations, and found that the resistivity of silicon nanobridges without bending was 9.45 mΩ.cm and the corresponding interface charge density was around 1.7445 × 10^13 cm-2. The bending deformation due to the bias voltage slightly changed the resistivity of the silicon nanobridge, however, it significantly changed the distribution of interface state charges, which strongly depends on the intensity of the stress induced by bending deformation.

关键词： interface state density resistivity silicon nanobridges bias voltages

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A novel classification method based on the ensemble learning and feature selection for aluminophosphate structural prediction

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Microporous and Mesoporous Materials 2014年 186卷 201-206页

作者： Minghai Yao Miao Qi Jinsong Li Jun Kong School of Computer Science and Information Technology Northeast Normal University Key Laboratory of Intelligent Information Processing of Jilin Universities Changchun 130117 China School of Mathematics and Statistics Northeast Normal University Changchun 130024 China Key Laboratory for Applied Statistics of MOE Northeast Normal University Changchun 130024 China

In this paper, a novel classification algorithm based on the ensemble learning and feature selection is proposed for predicting the specific microporous aluminophosphate ring structure. The proposed method can select the most significant synthetic factors for the generation of (6, 12)-ring-containing structure. First, the clustering method is employed for making each training subset contains all the structural characteristics of samples. Then, the method takes full account of the discrimination and class information of each feature by calculating the scores. Specially, the scores are fused for getting a weight for each feature. Finally, we select the significant features according to the weights. The result of feature selection will help to predict the (6, 12)-ring-containing AlPO structure well. Moreover, we compare our method with several classical feature selection methods and classification method by theoretical analysis and extensive experiments. Experimental results show that our method can achieve higher predictive accuracy with less synthetic factors.

关键词： Zeolites Polymer processing Feature selection Ensemble learning Simulation

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A parallel ant colonies approach to de novo prediction of protein backbone in CASP8/9

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Science China(information Sciences) 2013年第10期56卷 226-238页

作者： LV Qiang WU HongJie WU JinZhen HUANG Xu LUO XiaoHu QIAN PeiDe School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab for Information Processing Technologies School of Electronic and Information Engineering Suzhou University of Science and Technology

Predicting the three-dimensional structure of proteins from amino acid sequences with only a few remote homologs,or de novo prediction,remains a major challenge in computational *** modeling of the protein backbone represents the initial phase of a protein structure prediction *** a parallel ant colony optimization based on sharing one pheromone matrix,this report proposes a parallel approach to predict the structure of a protein *** parallel approach combines various sources of energy functions and generates protein backbones with the lowest energies jointly determined by the various energy *** free modeling targets in CASP8/9 are used to evaluate the performance of the *** 13 targets in CASP8,two out of the predicted model1s selected by our approach are the best of the published CASP8 results,and seven out of the model1s are ranked in the top *** 29 targets in CASP9,20 out of the best models from our predictions are ranked in the top 10,and 11 out of the model1s are ranked in the top 10.

关键词： protein backbone prediction parallel ant colony optimization

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Research and development of comprehensive communication experiment teaching system

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computer Modelling and New Technologies 2014年第6期18卷 218-224页

作者： Wang, Bin Li, Dashe Liu, Shue School of Computer Science and Technology Shandong Institute of Business and Technology Yantai China Key Laboratory of Intelligent Information Processing Universities of Shandong Yantai China School of Computer Science and Technology Binzhou Medical University Yantai China

This paper has developed a set of management and experiment system for communication laboratories. Its development platform is Visual Basic 6.0, using access database, winsocket programming and multicast technology. Including several sets of software and using C/S architecture, the system can jointly work with data network configuration system so as to achieve the communication experiment of data network. It can conduct VLAN isolation and IP filter using right management switch, which can make multiple servers connect to the device simultaneously and completely control the numbers of computers entering the system at some point. By off-line configuration technology and shared online database technology, the system can make the device resources be assigned automatically to solve the basic problems of many people doing experiment at the same time.

关键词： Multicasting

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Compact and Tunable Mid-IR Light Source Based on a Dual-Wavelength Fiber Laser

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Chinese Physics Letters 2013年第11期30卷 106-108页

作者： CHANG Jian-Hua WANG Ting-Ting ZHANG Chuang GE Yi-Xian TAO Zai-Hong Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science&TechnologyNanjing 210044 Jiangsu Technology&Engineering Center of Meteorological Sensor Network Nanjing University of Information Science&TechnologyNanjing 210044

A compact,tunable mid-IR difference-frequency generation(DFG)light source based on a dual-wavelength fiber laser and a 5mol%MgO-doped periodically poled lithium niobate(MgO:PPLN)crystal is developed and *** output power of 233μW is achieved with a conversion efficiency of 0.1%/*** mid-IR wavelength can be tuned between 3308 nm and 3314 nm by changing the temperature of a pair of fiber Bragg grating(FBG)taking as cavity mirrors in the dual-wavelength fiber laser from 26.5°C to 106.5°C.

关键词： fiber tunable Dual

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