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2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE2016)

作者： Xiaojian Li Jianxun Chen College of Computer Science and Technology Wuhan University of Science and technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

ISBN: (纸本)9781510835368

The design and development of complex 2D symbol library system based on GIS system is completed by combining design pattern ***,it states that the design of the symbol library system has its unique *** diversity and complexity of symbol library lead to difficulties in the design of ***,using the abstraction to implement the classification and generalization of symbol *** and Improving the classic composite pattern to extend the diversity of symbols with the method of combining primitive *** factory method and template method pattern to reduce the coupling between modules and improve the extendibility of the ***,the design of the system is very good to achieve the 2D symbol library's function under ***'s integrated in the existing GIS system ***'s powerful,reusable and good extendibility.

关键词： design pattern GIS system 2D symbol library primitive symbol

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An Improved Scheme of Privacy Preserving Based on Lagrange Interpolation in Cloud Storage

An Improved Scheme of Privacy Preserving Based on Lagrange I...

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2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE2016)

作者： Yu Jin Yadan Wang College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

ISBN: (纸本)9781510835368

The increasing maturity of cloud computing has led many companies to store critical information in the *** privacy preserving in the cloud storage still remains major concern because the management of the data might not be fully *** preserving brings in concern for data *** this paper,the work pays more attention to the issues involved in the data confidentiality and service *** proposes an improved scheme of privacy preserving based on Lagrange interpolation which uses multi-clouds instead of single cloud service *** with its previous data hiding scheme based on Lagrange interpolation algorithm and Multiclouds,this improved scheme only uses Lagrange interpolation to ensure both data confidentiality and service *** experiment was done through deploying this system in four *** shows that the improved scheme outperforms the existing multi-clouds researches in terms of the cost of storage space and performance in the situation that data confidentiality and service availability are ensured.

关键词： multi-clouds cloud storage privacy preserving data confidentiality Lagrange interpolation

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Recognition of architectural distortion in mammographic images with transfer learning

Recognition of architectural distortion in mammographic imag...

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International Congress on Image and Signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Xiaoming Liu Leilei Zhai Ting Zhu Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology Wuhan University of Science and Technology

ISBN: (纸本)9781509037117

Computer-aided diagnosis (CAD) technology can improve the detection of abnormal. Such as calcifications, masses, and architectural distortion. Among the three abnormals, architectural distortion is the most difficult one to detect for both radiologists and CAD systems. In this article, we use automatic architectural distortion detection method to locate initial suspicious areas. Then, combine the transfer learning to detect architectural distortion, the reason we use transfer learning is the number of samples of architectural distortion in mini-MIAS database and Digital Database for Screening Mammography (DDSM) is small, and the number of malignant mass is much larger. The malignant mass and the architectural distortion are similar. Our objective is by transferring malignant mass information to improve the recognition rate of AD in the case of only a small amount of AD training samples.

关键词： Distortion Feature extraction Cancer Gabor filters Support vector machines Mammography Entropy

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A least square approach for distributed sensor fusion in bandwidth-constrained sensor networks

A least square approach for distributed sensor fusion in ban...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Shanying Zhu Jinming Xu Cailian Chen Xinping Guan Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781479999897

In this paper, we consider a simple model of distributed sensor fusion problem in sensor networks with asymmetric links, where the common goal is linear parameter estimation. For the realistic scenario of bandwidth-constrained networks, we propose a least square approach, based on distributed quantized consensus algorithms, to compute the ideal centralized sample mean estimate. Analytical results show that the proposed approach is effective in smearing out the quantization errors, and outperforms the centralized approaches with respect to the estimation performance. Simulation results are provided to validate the analytical results.

关键词： Quantization (signal) Sensor fusion Bandwidth Distributed algorithms Convergence Estimation Probabilistic logic

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Underwater acoustic localization with uncertainties in propagation speed and time synchronization

Underwater acoustic localization with uncertainties in propa...

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OCEANS MTS/IEEE Monterey (Conference)

作者： Chaofeng He Yiyin Wang Cailian Chen Xinping Guan The Dept. of Automation Shanghai Jiao Tong University Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration(CISSE) Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China

ISBN: (纸本)9781509015276

Underwater acoustic localization is important for supporting underwater sensor networks. However, the hostile underwater environment makes it a very challenging mission. In this paper, we take uncertainties in sound propagation speed and time synchronization into account and propose a localization method. All anchors with known positions are synchronized, while all agents that need to perform localization are not synchronized with the anchors. The anchors measure the time of arrivals (ToAs) of the signals from the other anchors to estimate the sound propagation speed first. The agents measure the ToAs of the signals broadcast by the anchors, and combine the ToAs measured in two consecutive intervals to estimate the clock skews. After that the weight least squares (WLS) algorithm is used to calculate the agents' positions and clock offsets. Finally, the performance of the estimators of the clock skew, the clock offset, and the coordinates are refined via an alternative iteration process. The performance of the proposed estimators are evaluated through simulations.

关键词： Localization Sound propagation speed Synchronization

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Application of discrete ant colony optimization in VRPTW 11th

Application of discrete ant colony optimization in VRPTW

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Fu, Qinhong Zhou, Kang Qi, Huaqing Wu, Tingfang School of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036132

The classical ant colony algorithm for vehicle routing problem with time windows (VRPTW) has problems of low efficiency, slow convergence and prematurity. And the discrete ant colony optimization (DACO) is proposed for these problem. It adopts the one-dimensional discrete coding that can make the data structure simpler and bring in faster convergence speed. In addition, self-convergence mode is used to calculate the optimal vehicle number rather than setting the optimal vehicle number at the beginning, which makes the algorithm more flexible and accelerates the convergence speed effectively. The time window and vehicle load are not considered in the optimization process, when ants complete the whole process and then the path is explained, this move not only expands the ant search scope but also improves the efficiency of the algorithm. The above highlights make the most of the selfadaptation and self-regulating mechanism, which effectively reduces the probability of the local optimal solution at the same time. Experimental results for Solomon benchmark test problems indicate that DACO outperforms both in reducing time and space complexity in the premise of not affecting the accuracy. Thus proves DACO is effective and feasible in solving the VRPTW. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Ant colony optimization

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Predicting human mobility based on location data modeled by Markov chains

Predicting human mobility based on location data modeled by ...

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Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)

作者： Junjie Jiang Changchun Pan Haichun Liu Genke Yang Department of Automation of Shanghai jiao Tong University Key Laboratory of System Control and Information Processing Shanghai Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration(CISSE) Shanghai P.R. China

Recently, location-based services have attracted significant attention. Against this background, one pivotal and challenging problem is predicting the future location of a user given his or her current location and associated historical mobility data. Predicting human mobility enables many interesting applications such as navigation services, traffic management and location-based advertisements. In this paper, we first extract the region-of-interest (ROI) from the historical location data. With plenty of statistics the original trajectory is represented by Markov chains composed by many ROIs. To improve the performance of the prediction, we extend 1st-order Markov chains to Kth-order Markov chains by reconstituting the structure of priori knowledge, which is intended to take more significant historical information into consideration. We evaluate the certainty of the prediction outcomes in terms of information entropy. We demonstrate that the prediction using a higher-order Markov chain can be more accurate compared with a 1st-order Markov chain.

关键词： Markov processes Trajectory Global Positioning system Clustering algorithms Hidden Markov models Prediction algorithms

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information Technology for Early Fault Forecast of Wind Turbine Generator Unit

Information Technology for Early Fault Forecast of Wind Turb...

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The 29th International Congress on Condition Monitoring and Diagnostic Engineering Management

作者： Xu Xiaoli Zuo Yunbo Liu Xiuli Zhao Xiwei Key Laboratory of Modern Measurement & Control Technology of Ministry of Education key laboratory of electromechanical system measurement & control of BeijingBeijing Information Science and Technology University School of Mechanical and Vehicle Engineering Beijing Institute of Technology

This paper proposes and expatiates the information technology for early fault forecast of wind turbine generator unit based on the non-stability,non-linearity,variable working conditions,long-term operation and early fault forecast of wind turbine generator unit in respect of the early fault information acquisition and weak information analysis for wind turbine generator unit;the fault development trend information and feature extraction of wind turbine generator unit;the building of trend forecast model for wind turbine generator unit;and the research & development of wind turbine generator unit state monitoring and fault forecast system,*** to experimental studies and field verification,the multi-information fusion,the intelligent information analysis and decisionmaking,and the establishment of wind turbine generator unit fault forecast system and the application remote network in predictive maintenance center for unit group on wind farm,etc.,and help to improve the accuracy,pertinence and suitability of processing of mult forecast information,and carry out rational maintenance and dynamic management thereof.

关键词： Wind turbine generator unit state monitoring fault forecast safety guarantee information technology

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OUGENE： a disease associated over-expressed and under-expressed gene database

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Science Bulletin 2016年第10期61卷 752-754页

作者： Xiaoyong Pan Hong-Bin Shen Section for Animal Genetics Bioinformatics and Breeding Center for Non-Coding RNA in Technology and Health University of Copenhagen 1870 Frederiksberg Denmark Department of Disease Systems Biology Novo NordiskFoundation Center for Protein Research University ofCopenhagen 1870 Frederiksberg Denmark Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

Gene over-expression or under-expression is closely associated with human diseases, which contributes to phenotypic variations and diversity. To our best knowledge, there is no single open specific resource available to provide the association information between gene over- or under-expression and various diseases. In this study, we presented a comprehensive disease-associated over- and under-expressed gene database （OUGene） based on our proposed text mining pipeline and several open curated databases. It contains total 41,269 unique associa- tions between 7,238 over- or under-expressed genes and 1,480 diseases, which are supported by 81,974 evidence sentences from 56,442 articles. The OUGene is compre- hensive and covers most important therapeutic areas. Meanwhile a new scoring system is designed to rank the associations based on benchmarking against hand-curated data. OUGene provides an easy-of-use web interface for researchers to analyze these data and visualize the associ- ated networks, which can give insights to the complex relationships between over- and under-expressed genes and diseases at a system level. It is available at ***. ***/bioinf/OUGene/.

关键词： Text mining Gene over- and under-expression Disease Database

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Corrigendum to “Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera”

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Journal of Robotics 2017年第1期2017卷

作者： Songmin Jia Ke Wang Xiuzhi Li College of Electronic Information & Control Engineering Beijing University of Technology Beijing 100124 *** Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124 ***

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