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International Journal of Digital Content technology and its Applications 2012年第20期6卷 582-589页

作者： Wang, Peilong Yang, Xuan Zhang, Yuanyuan Ren, Jiadong College of Information Science and Engineering Yanshan University Qinhuangdao City 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao City 066004 China

In this paper, we present an algorithm TKBT(top-k closed frequent mining based on TKTT) to mine top-k closed frequent itemsets in data streams efficiently. First according to the consecutive and changeable characteristics of the data from data streams in sliding window, a novel structure, BWT(bit-vector window table) is defined. In BWT horizontal direction we use bit vectors to express the transactions, record the count of items in the oldest, the newest window and all the windows a t current time, which decreases the calculating time of the items count when a new window slides in. In BWT vertical direction we set window partition, which makes us just need replace the oldest window information with the corresponding newest window when a new window comes. The construction of TKTT (top-k temporary table) is based on BWT. The itemsets in TKTT are ranked in a descending count order. TKBT can get top-k closed frequent itemsets by connecting the candidates in TKTT using top-down strategy. The candidate number is reduced by using closed itemset displace its subset and less connection times are contributed to the less runtime. Experiment results show that TKBT is very effective and scalable.

关键词： Data Streams Sliding Window Top-K Closed Frequent Itemsets

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Inference rules based on XML functional dependency and XML multi-valued dependency

Inference rules based on XML functional dependency and XML m...

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2014 International Conference on Future Information Engineering and Manufacturing Science(FIEMS 2014)

作者： Zhongping Zhang Shanshan Shi The School of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province

ISBN: (纸本)9781138026445

There not only exists the relation of the functional dependency and multi-valued dependency in XML data constraint,but also exists the relation of data dependency obtained only from a certain existing relationship instance that is *** reducing data redundancy,in this paper,the concepts of XML functional dependency and XML multi-valued dependency based on the path expression in the Document Type Definition are *** then the inference rules on the condition of the coexistence of functional dependency and multi-valued dependency in XML are ***,the validity and completeness of the inference rules are *** above-mentioned fundamentally solves the problems of implication of functional dependency and multi-valued dependency in XML data,laying a theoretical foundation for XML database design.

关键词： Extensible Markup Language inference rules functional dependency multi-valued dependency

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Influence maximization in MicroBlog based on a new user influence ranking method

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Journal of Information and Computational Science 2015年第9期12卷 3729-3737页

作者： Liu, Yuanying Guo, Jingfeng Hu, Xinzhuan Liu, Miaomiao Zhang, Jilong College of Information Science and Engineering Yanshan University Qinhuangdao China College of Information Technology Hebei University of Economics and Business Shijiazhuang China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China

The characteristics of the MicroBlog data are analyzed firstly. Then WeiBo graph is constructed through tweets forwarded path and user influence ranking calculation method which according to the classic PageRank is given;the initial value of user influence ranking concludes three attributes, such as followers' number, tweets' number and recent tweets' quality. Maximization algorithm in MicroBlog based on user influence ranking is put forward finally. Experiments show that this maximization algorithm is superior to the others in spread scope. ©, 2015, Journal of Information and Computational Science. All right reserved.

关键词： Computational methods

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An Ensemble Detection Method for Shilling Attacks Based on Features of Automatic Extraction

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China Communications 2019年第8期16卷 130-146页

作者： Yaojun Hao Fuzhi Zhang Jinbo Chao School of Information Science and Engineering Yanshan UniversityQinhuangdao 066004China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004China Department of Computer Science and Technology Xinzhou Teachers UniversityXinzhou 034000China

Faced with the evolving attacks in recommender systems, many detection features have been proposed by human engineering and used in supervised or unsupervised detection methods. However, the detection features extracted by human engineering are usually aimed at some specific types of attacks. To further detect other new types of attacks, the traditional methods have to re-extract detection features with high knowledge cost. To address these limitations, the method for automatic extraction of robust features is proposed and then an Adaboost-based detection method is presented. Firstly, to obtain robust representation with prior knowledge, unlike uniform corruption rate in traditional mLDA(marginalized Linear Denoising Autoencoder), different corruption rates for items are calculated according to the ratings’ distribution. Secondly, the ratings sparsity is used to weight the mapping matrix to extract low-dimensional representation. Moreover, the uniform corruption rate is also set to the next layer in mSLDA(marginalized Stacked Linear Denoising Autoencoder) to extract the stable and robust user features. Finally, under the robust feature space, an Adaboost-based detection method is proposed to alleviate the imbalanced classification problem. Experimental results on the Netflix and Amazon review datasets indicate that the proposed method can effectively detect various attacks.

关键词： shilling attack ensemble detection features of automatic extraction marginalized linear denoising autoencoder

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A community detection method to undirected weighted signed social networks

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Journal of Computational Information systems 2015年第10期11卷 3623-3632页

作者： Guo, Jingfeng Liu, Miaomiao Liu, Linlin Liu, Yuanying College of Information Science and Engineering Yanshan University Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China Northeast Petroleum University Daqing China

With regard to the community mining in weighted signed networks and weighted social networks containing only positive links, the AGMA algorithm has some imperfections in the second clustering of vertices. So some improvements were made to it. And a new algorithm CD WSSN (Community Detection for Weighted Signed Social Networks) is proposed to detect communities in undirected and unweighted signed networks. It takes the sign of the edge, the weight of the edge and the friend coefficient between the vertex and community as clustering criteria of vertices. It can divide a weighted signed network into the right number of communities accurately and effectively. Experiments were done on datasets like weighted signed networks, weighted traditional social networks, unweighted signed networks as well as standard networks. The comparative analysis of the experimental results were also done with regard to the difference and frustration about CD WSSN, AGMA, CRA algorithm, and so on. The results verify the accuracy and generality of the algorithm. ©, 2015, Binary Information Press. All right reserved.

关键词： Population dynamics

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PromptHC: Multi-attention prompt guided haze-weather crowd counting

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Expert systems with Applications 2025年 286卷

作者： Jienan Shen Liangang Tong Shaohua Li Weihang Kong School of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Information Technology Center Yanshan University Qinhuangdao 066004 China Hebei Key Laboratory of Computer Virtual Technology and System Integration Qinhuangdao 066004 China

Existing crowd counting methods encounter the challenge of degraded performance in hazy weather due to the blurring of pedestrian outlines. However, current hazy-weather crowd counting methods primarily focus on extracting crowd features, often neglecting the varying degrees of distortion in pedestrian outlines caused by inhomogeneous haze distribution. To this end, this paper develops a multi-attention prompt guided method for hazy-weather crowd counting, termed PromptHC. Specially, to explore the relationship between varying haze concentrations and the pedestrian outlines, a multi-attention dynamically adjustable prompt module is designed to provide crucial prompts about crowd features in hazy weather. Meanwhile, to further enhance the anti-interference capability of the model in hazy weather, a progressive guidance module is incorporated, which effectively reduces interference from different haze concentrations by guiding the learning of crowd attention. Furthermore, a global context-enhanced crowd feature extraction module is designed to capture precise global information. A series of ablation studies verify the actual effectiveness of each core component of the PromptHC. In addition, we conduct a performance comparison with the current mainstream methods on two hazy-weather datasets. Experimental results show the feasibility and superiority of the PromptHC for the hazy-weather crowd counting task.

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An identity authentication algorithm in the object name service of the internet of things for heat meter

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Advances in Information Sciences and Service Sciences 2012年第22期4卷 174-181页

作者： Han, Yuanyuan Liu, Yongshan Chen, Wei Liu, Chang Shang, Xuehui Lv, Yongteng The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Yanshan University Qinhuangdao City 066004 China College of Information Science and Engineering Yanshan University Qinhuangdao City 066004 China

In the environment of the Internet of Things for heat meter, insecurity of the object name service (ONS) is likely to lead to the leakage of user privacy. In order to solve this problem, an identity authentication algorithm is proposed. First, the certificate authority may generate parameters of elliptic curve and its own public key and private key, and announce the parameters and its own public key, so that the registered users can inquire and use them. Second, the client registers at the certificate authority. The certificate authority will generate the public key of the client and the evidence of the client's private key which is signed by private key of the certificate authority. If the generated evidence of private key passes verification of the client, the client will generate its own private key. When a client sends a query request to an ONS server, the ONS server will authenticate identity of the client. If the client gets through the authentication, the ONS server will respond to the query request. The experimental result shows that this algorithm has high security and can avoid the ONS server providing query service for illegitimate client, so as to ensure the security of user privacy.

关键词： Internet of things

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Pricing Policy for a Dynamic Spectrum Allocation Scheme with Batch Requests and Impatient Packets in Cognitive Radio Networks

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Journal of systems Science and systems Engineering 2022年第2期31卷 133-149页

作者： Haixing Wu Shunfu Jin Wuyi Yue School of Information Science and Engineering Yanshan UniversityQinhuangdao 066004China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan UniversityQinhuangdao 066004China Department of Intelligence and Informatics Konan UniversityKobe 658-8501Japan

In cognitive radio networks(CRNs),multiple secondary users may send out requests simultaneously and one secondary user may send out multiple requests at one time,i.e.,request arrivals usually show an aggregate ***,a secondary user packet waiting in the buffer may leave the system due to impatience before it is transmitted,and this impatient behavior inevitably has an impact on the system *** to investigate the influence of the aggregate behavior of requests and the likelihood of impatience on a dynamic spectrum allocation scheme in CRNs,in this paper a batch arrival queueing model with possible reneging and potential transmission interruption is *** constructing a Markov chain and presenting a transition rate matrix,the steady-state distribution of the queueing model along with a dynamic spectrum allocation scheme is derived to analyze the stochastic behavior of the ***,some important performance measures such as the loss rate,the balk rate and the average delay of secondary user packets are ***,system experiments are carried out to show the change trends of the performance measures with respect to batch arrival rates of secondary user packets for different impatience parameters,different batch sizes of secondary user packets,and different arrival rates of primary user ***,a pricing policy for secondary users is presented and the dynamic spectrum allocation scheme is socially optimized.

关键词： Cognitive radio networks dynamic spectrum scheme batch arrival impatient packets Markov chain social optimization

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A PTV method based on SIFT feature points matching for velocimetry measurement of oil-water two-phase flow in horizontal pipelines

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第12期8卷 195-206页

作者： Kong, Weihang Li, Lei Kong, Lingfu Li, Yingwei Xie, Na School of Information Science and Engineering Yanshan University QinhuangdaoHebei China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Hebei China Information Department of Library Yanshan University QinhuangdaoHebei China

Due to the advantages of scale invariant feature transform (SIFT) feature points on the invariant to image scale, brightness, rotation, occlusion, noise and so on, this paper proposes a Particle Tracking Velocimetry (PTV) method, based on SIFT feature points matching for velocity measurement of oil-water two-phase flow in horizontal pipelines. The oil-water two-phase flow with large droplet diameter, oil droplets overlap, ununiform lighting, and the centroid position of oil droplets can’t be obtained only by using traditional PTV methods through morphological processing. However, in this paper, the algorithm can directly achieve the average velocity of the flow field according to the positions of correctly matched SIFT feature points, and there is no need to extract the centroid coordinates of each oil droplet. The experimental results show that the proposed algorithm not only can be used in the average velocity measurement of oil-water two- phase flow in horizontal pipelines, but also can reach 95% in the measuring accuracy when the matching feature points are enough sufficient. © 2015 SERSC.

关键词： Velocity measurement

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Communication-Based Attacks Detection in Android Applications

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Tsinghua Science and technology 2019年第5期24卷 596-614页

作者： Chuan Ma Tao Wang Limin Shen Dongkui Liang Shuping Chen Dianlong You School of In formation Science and Engineering Yanshan University the Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China School of Business Ad mi nisliatiom Hebei Normal University of Science and Technology. Qinhuangdao 066004 China Library of Yanshan University. Yanshan University Qinhuangdao 066004 China

The Android operating system provides a rich Inter-Component Communication(ICC) method that brings enormous convenience. However, the Android ICC also increases security risks. To address this problem, a formal method is proposed to model and detect inter-component communication behavior in Android applications. Firstly,we generate data flow graphs and data facts for each component through component-level data flow ***, our approach treats ICC just like method calls. After analyzing the fields and data dependencies of the intent, we identify the ICC caller and callee, track the data flow between them, and construct the ICC model. Thirdly,the behavior model of Android applications is constructed by a formal mapping method for component data flow graph based on Pi calculus. The runtime sensitive path trigger detection algorithm is then given. Communicationbased attacks are detected by analyzing intent abnormity. Finally, we analyze the modeling and detection efficiency,and compare it with relevant methods. Analysis of 57 real-world applications partly verifies the effectiveness of the proposed method.

关键词： Android inter-component communication intents component hijacking attack detection

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