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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Lei Qiao, Mei Zhang, Degan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper proposes the MDMA (Multi-dimensional Distributed Mining Association rules) algorithm based on advanced SQL query. The algorithm works on star-style structure networks. It uses CUBE operator in new standard SQL and combines with SQL powerful query function. So there is no need for the proposed algorithm to conduct a great deal of iterations to generate frequent itemsets in the process of mining association rules. Therefore, no matter what the number of the site in the distributed environments and the scale of the local database in the local site is, the algorithm always needs only two times of scanning the database and only three times of network communications to generate all the global frequent itemsets. Consequently, this algorithm has the merits of light network traffic, low time cost, better scalability and more simplicity. © 2009 IEEE.

关键词： Association rules

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An efficient web service composition approach based on improved particle swarm optimization model

An efficient web service composition approach based on impro...

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International Conference on Management and Service Science, MASS 2009

作者： Yi, Liang Yingyuan, Xiao Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424446391

Along with the rapid growth of the number of the available web services over the internet, the quality of services (Qos) becomes an imperative concern for service consumers and providers. How to differentiate their quality based on Qos criteria at web service level is a challenging issue. Considering that evolutionary algorithm has powerful ability of searching information, a new web service composition model under improved particle swarm optimization (IPSO) algorithm is presented in this paper. According to the non-functional attributes Qos of services, the model can select web services with optimal Qos and compose them into value-added web services. Furthermore, IPSO model not only can find the service with optimal Qos immediately but also can overcome the bottleneck of the standard PSO model. It can balance the exploitation and exploration and avoid premature convergence to some extent. As a result, web services can be invocated dynamically and be composed automatically and efficiently. The preliminary experimental results indicate that the web service composition approach based on IPSO model is applicable and feasible to the optimization of general service compositions. ©2009 IEEE.

关键词： Quality of service

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A novel two-step-deformation active contour with application to facial features extraction

A novel two-step-deformation active contour with application...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Hua, Zhang Yuanquan, Wang Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424441310

In allusion to the boundary leaking problem of traditional active contours when used to extract facial features, two kinds of local information are introduced to enhance the weak boundary, then to build new external force for active contours. The prior knowledge of the local shape of the facial features is incorporated into the evolution of active contour. The snake contour in each evolution step just serves as prediction, and then is ruled by the prior local shape;this way, the snake contour deforms via prediction-correction two steps. This two-step-deformation (TSD) snake can utilize the a priori shape of objects effectively. The proposed strategies are evaluated on several images and the experimental results validate the high performance of this TSD snake for facial features segmentation. ©2009 IEEE.

关键词： Deformation

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An adaptive POI recommendation algorithm by integrating user's temporal and spatial features in LBSNs 2020

An adaptive POI recommendation algorithm by integrating user...

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3rd International Conference on Data Science and Information technology, DSIT 2020

作者： Li, Miao Zheng, Wenguang Xiao, Yingyuan Jiao, Xu Tianjin Key Laboratory of Intelligence Computing and New Software Technology Tianjin University of Technology Tianjin China Department of Liberal Education Tianjin Foreign Studies University Tianjin China

ISBN: (纸本)9781450376044

With the rapid development of Internet technology and global positioning technology, location-based social networks (LBSNs) have emerged. Massive check-in data generated by LBSNs can be employed to explore users' behavior preferences, and enable a wide range of location-based social services. The most straightforward service is Point of Interest (POI) recommendation, which help users to discover their desired places. In order to achieve effective and precise POI recommendation, complicated high-dimensional data need to be handled, i.e., user-geographical position-visiting time-category of the visiting place. Besides, such data usually suffer from a data sparsity problem. To this end, this paper proposes a novel POI recommendation model that incorporates spatial and temporal preferences of the users. We propose a tensor factorization-based approach and a Voronoi diagram-based approach to model the impact of temporal and spatial features on users' preference, respectively. Then, a fusion framework is proposed to calculate similarities between different uses by combining both temporal and spatial preferences of the users. Finally, an adaptive collaborative filtering approach is applied to generate recommendation list. The experiments results on the Foursquare and the Gowalla datasets shows that our model has higher recommendation performance than other comparison models. © 2020 ACM.

关键词： Collaborative filtering

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A new method of image data fusion based on FNN

A new method of image data fusion based on FNN

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2010 6th International Conference on Natural Computation, ICNC'10

作者： Zhang, De-Gan Li, Chao Wang, Dong Zhang, Xiao-Li Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459612

The image data are obtained by a variety of multimedia, information equipment, which include amount of information, extensive coverage, and redundancy in ubiquitous computing paradigm. In order to make use of these information reasonably and efficiently, it is necessary to fuse such massive data, therefore the multi-sensor image information fusion become a key technology to ubiquitous computing. A new approach of image data fusion based on fuzzy neural network (FNN) is presented in this paper. Here, neural network is a parallel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. In the new approach, fuzzy theory has the advantages such as: easy-to-understand, flexible and inclusive of non-precise data, as well as using expert knowledge and based on the natural language. The fuzzy neural network system developed by us has used in multi-sensor image fusion, proved that the fusion is fast, effective, good, and can meet the real-time requirements of ubiquitous computing. ©2010 IEEE.

关键词： Fuzzy neural networks

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Performance optimization and evaluation of space management in cloud storage systems 15th

Performance optimization and evaluation of space management ...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Xu, Guangping Li, Huan Mao, Qunfang Lin, Sheng Zhang, Hua Tianjin Key Laboratory of Intelligence Computing and New Software Technology Tianjin300384 China Computer and Communication Engineering School Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9783319271392

Cloud service providers and enterprises usually deploy high performance storage to manage the unrelenting growth of data. In this paper, we focus on performance optimization and evaluation by using optimal regeneration codes in such cloud storage systems. We present an efficient data maintenance management framework to reduce network repair traffic with the minimum data movement while keeping the desired fault-tolerance in storage systems. In the management framework, it has two phases including the traditional erasure coding process and the optimal placement process. We formally represent the optimal placement as a variant of the bin packing problem by bipartite graphs. Then, we model the placement transform by the interchange graph and propose an efficient heuristic algorithm to find the optimal solution. All feasible solutions are linked together by interchange operation and thus the search space can be taken as an interchange graph. Finally, we evaluate the performance of the optimal placement during data maintenance with different practical settings in our experiments. The experimental results show that the amount of network repair traffic can be reduced by about 10% than the initial placement and by about 2X than traditional erasure coding placement. © Springer International Publishing Switzerland 2015.

关键词： Heuristic algorithms

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Constructing Edge-Colored Graph for Heterogeneous Networks

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Journal of Computer Science & technology 2015年第5期30卷 1154-1160页

作者：侯睿武继刚陈亚文张海波隋秀峰 School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin 300387 China State Key Laboratory of Computer Architecture~ Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Computer Science University of Otago Dunedin 9054 New Zealand

In order to build a fault-tolerant network, heterogeneous facilities are arranged in the network to prevent homogeneous faults from causing serious damage. This paper uses edge-colored graph to investigate the features of a network topology which is survivable after a set of homogeneous devices malfunction. We propose an approach to designing such networks under arbitrary parameters. We also show that the proposed approach can be used to optimize inter-router connections in network-on-chip to reduce the additional consum!otion of energy and time delay.

关键词： network reliability homogeneous fault fault tolerance reconfigurable system network-on-chip

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MRIN: Fine-grained Feature Interaction based on Multiple Feature Relationships for CTR Prediction 26

MRIN: Fine-grained Feature Interaction based on Multiple Fea...

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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Ju, Jianbang Xiao, Yingyuan Yang, Peilin Zheng, Wenguang Tianjin University of Technology Enginnering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin China Tianjin University of Technology Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin China

ISBN: (纸本)9798350331684

CTR prediction is an important task in personalized recommendation and online advertising. In recent years, many models have been applied in CTR prediction systems to imporve the predcition accuracy. Although the current work has achieved results, the diversity of relationships between the different features was ignored: 1) most existing models usually use the vector-product to realize the interaction of each feature pairs, which ignore the potential contexts between the different feature interactions and lack the different interactive behaviors between the same pair of features;2) most existing models usually only consider the importance of features of the same order, which ignore the weight relationships between the different feature *** this paper, we propose a novel deep learning model called Multi-Relational Interaction Network (MRIN), which learns fine-grained feature interactions and captures latent relationships between features. On the one hand, we design two interactive modules that take different interactive methods to learn the feature interactions in the potential contexts. On the other hand, we flexibly apply attention network to further automatically learn the weight relationships between different feature representations. Extensive experiments conducted on two public datasets prove the effectiveness of our proposed model, which has better performance than the state-of-the-art models. © 2023 IEEE.

关键词： Forecasting

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Security and privacy with opacity-based state observation for finite state machine

Security and privacy with opacity-based state observation fo...

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作者： Zhang, Zhipeng Xia, Chengyi Chen, Shengyong Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin University of Technology Tianjin China

Topics on security and privacy are very fundamental and important in the Internet of Things (IoT). In this paper, we explore the impact of state observation on the opacity of IoT, which is modeled by Moore-type finite state machine. Firstly, to characterize the intrusion estimator under the event-state observation, a multi-linear algebraic expression is proposed through the Boolean semi-tensor product (STP), and on the basis of the novel representation, the validation criterion is given by some matrix manipulations. Subsequently, considering that the input information may not be measured due to the physical shielding of the system against external intruders, we continue to discuss the opacity with state observation by a permutation structure matrix. Meanwhile, the verification of opacity with event-state observation is generalized to the one with only state observation. Finally, we offer an example to illustrate the effectiveness of the newly proposed method. Taken together, the current results are helpful to provide a novel theoretical approach for investigating the privacy-preserving problem in the area of IoT and complex cyber-physical networks. © 2021 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd.

关键词： Internet of things

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Spike sorting based on radial basis function network with overlap decomposition

Spike sorting based on radial basis function network with ov...

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作者： Dai, Min Hu, Su-Rui Qi, Jia Tianjin Key Lab of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the most serious problems in the spike sorting for multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapping signals and separate spikes within the same RBF network. A modified radial basis function based on the Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulated data coming from the University of Leicester and Wave-clus software. Experiment results show that our method successfully solves the fully overlapping problem and has higher accuracy comparing with the Gaussian function. © 2011 Elsevier Ltd. All rights reserved.

关键词： Radial basis function networks

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