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International Conference on computer Science and Network technology

作者： Zhongping Zhang Zhixiao Liu College of Information Science and Engineering The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University College of Information Science and Engineering Yanshan University

ISBN: (纸本)9781467329637

With eXtensible Markup Language (XML) becoming more and more popular, to avoid the redundancy, XML schema design has become an important issue. So the normalization of XML is a hotspot in research field. Similar to relational database, this paper is database based with the goal of eliminating the data redundancy, to study the concepts of path expression in Document Type Definition (DTD). In this paper, XML is extended with functional dependency (XFD) and multi-valued dependency (XMVD), which are fundamental to semantic specification. And make formalized definitions on XFD and XMVD;Based on the concepts of XML tree and data dependency, it provides the description of key and redundancy. On the condition of the coexistence of XFD and XMVD, it further proposes the terms to meet the fourth normal form (4XNF) and provides theorem to determine the XML document tree which meets the above terms without redundancy, and the sound of the 4XNF is proved by experiment.

关键词： Normalization Functional dependency Multi-valued dependency key Redundancy The fourth normal form redundancy XML document extensible markup language normalization data redundancy data dependency

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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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The study to eeg synchronization in alzheimer's disease based on new s estimator method

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Journal of Convergence Information technology 2012年第22期7卷 1-7页

作者： Wen, Dong Chen, Ruihong Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Yanshan University Qinhuangdao Hebei 066004 China Division of General Internal Medicine Xiantao First People's Hospital Xiantao Hubei 433000 China

Synchronization decay of resting state EEG has shown that cognitive dysfunction in Alzheimer's disease (AD) was relevant to a loss of functional connectivity in intermediate frequency bands. The new S estimator (NSE) proposed recently by us quantifies synchronization between neuronal signals at multiple *** paper meant to explore the behavior of synchronization of multichannel EEG in AD and healthy normal controls at rest, and preliminarily make clear the clinical significance of the NSE in AD *** (EEG) were recorded from 10 AD patients and 12 age-matched healthy normal controls (NC). NSE values were computed both across the all frequency band and separately in the delta, theta, alpha, beta (including beta1, beta2 and beta3), and gamma bands. The Mini-Mental Status Examination (MMSE) was used to assess the symptom severity of AD patients and *** values in the beta1 and beta2 bands were significantly lower in AD patients than in NC. NSE values in the alpha and beta1 bands were positively correlated with the MMSE scores in all participants (AD and NC). In AD patients, NSE values in the alpha, beta1 and beta2 bands were also positively correlated with MMSE *** results suggest that NSE values are a useful correlate of EEG synchronization in AD patients.

关键词： Synchronization

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The effects of DHPG stimulation on spikes and theta frequency oscillations and spike-theta oscillation relations in rat MSDB slice

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Journal of Convergence Information technology 2012年第17期7卷 442-449页

作者： Wen, Dong Ouyang, Gaoxiang Peng, Ce Li, Xiaoli Lu, Chengbiao Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Yanshan University Qinhuangdao Hebei China Institue of Electrical Engineering Yanshan University Qinhuangdao Hebei China National Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100088 China

Neuronal oscillations in the theta frequency range and spikes have been reported in many cortical areas in the information processing, but the role of spikes play in cortical processing remains unclear. The aim of this study was to examine the role of DHPG in the generation of oscillatory field activity at theta frequency in the medical septal diagonal band of Broca (MSDB) slice prepared from rat brain, and to determine the phase relationship between spikes and theta oscillations. The DHPG induced large amplitude field population spiking activity, which is correlated linearly with the field theta oscillations. The relationship between timing of spikes and the phase of theta oscillation was determined by an analysis of circular statistics. Further analysis with Rayleigh test revealed that the relationship of phase-locking between spikes and theta rhythm is of statistical significance. These data demonstrate that DHPG-sensitive neuronal networks within medial septum are able to generate theta oscillations which are modulated by large amplitude population spikes and phase-locking of spikes to the theta rhythm suggest the role of memory enhancement in the presence of mGluR1 activation.

关键词： Rats

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A DAG-based algorithm of mining frequent closed itemsets in high dimensional datasets

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International Journal of Advancements in Computing technology 2012年第19期4卷 213-222页

作者： Dong, Jun Chen, Shuai Chen, Jing Huang, Guoyan Ren, Jiadong College of Information Science and Engineering Yanshan University 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao City 066004 China Production Management Department Shanghai Aircraft Manufacturing Co.Ltd 200436 China

Algorithms based on row enumeration always scan and construct conditional transposed tables, which increases the execution time and space cost. To address this problem, we adopt the DAG (Directed Acyclic Graph) to compress the dataset to save the memory space. In DAG, each node is related to a rowid, and each two nodes have a corresponding directed edge which stores the common items of the two rowids. Each row is given an integer according to its coming order and the DAG follows that order. A directed acyclic graph records the relation between rows and items by doing AND(&) operation with the nodes' binary code of the edges. We also present DAGHDDM which is a new approach for mining frequent closed itemsets in high dimensional datasets. In this algorithm, we adopt the BitTable to compress the dataset firstly, and then construct DAG according to the BitTable. We increase the same items of the adjacent edges to implement pattern growth, traverse the DAG in reversal way and adopt a close-checking method to generate all frequent closed itemsets. It scans the dataset only once and does not generate candidate itemsets. The experimental results show that the proposed DAGHDDM algorithm can decrease the cost of time.

关键词： Directed graphs

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The analysis to gamma oscillations induced in high dose DHPG and spike-gamma oscillation relationship

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International Journal of Advancements in Computing technology 2012年第20期4卷 553-560页

作者： Wen, Dong Lu, Chengbiao Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Yanshan University QinhuangdaoHebei 066004 China School of Information Science and Engineering Yanshan University QinhuangdaoHebei 066004 China Institue of Electrical Engineering Yanshan University Qinhuangdao Hebei 066004 China

Neuronal oscillations in the gamma frequency range and spikes have been reported in many cortical areas in the information processing, but the role of spikes play in cortical processing remains unclear. The aim of this study was to examine the role of high dose DHPG in the generation of oscillatory field activity at gamma frequency in the medical septal diagonal band of Broca (MSDB) slice prepared from rat brain, and to determine the phase relationship between spikes and gamma oscillations. The high dose DHPG induced large amplitude field population spiking activity, which is correlated linearly with the field gamma oscillations. The relationship between timing of spikes and the phase of gamma oscillation was determined by an analysis of circular statistics. Further analysis with Rayleigh test revealed that the relationship of phase-locking between spikes and gamma rhythm is of statistical significance. These data demonstrate that DHPG-sensitive neuronal networks within medial septum are able to generate gamma oscillations which are modulated by large amplitude population spikes and phase-locking of spikes to the gamma rhythm suggest the role of memory enhancement in the presence of mGluR1 activation.

关键词： Locks (fasteners)

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A new estimator analysis method to synchronization among multivariate neural series of mild cognitive impairment

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2012年第23期6卷 868-874页

作者： Wen, Dong Guan, Xinyong Chen, Ruihong The Key Laboratory for Computer Virtual Technology System Integration of HeBei Province Yanshan University Qinhuangdao Hebei 066004 China Liren College Yanshan University Qinhuangdao Hebei 066004 China Division of General Internal Medicine Xiantao First People's Hospital Xiantao Hubei 433000 China

Synchronization decay of resting state EEG has shown that cognitive dysfunction in mild cognitive impairment (MCI) was relevant to a loss of functional connectivity in intermediate frequency bands. A new estimator analysis method called new S estimator (NSE) proposed recently by us quantifies synchronization between neuronal signals at multiple *** paper meant to explore the behavior of synchronization of multichannel EEG in MCI and healthy normal controls at rest, and preliminarily make clear the clinical significance of the NSE in MCI *** (EEG) were recorded from 10 MCI patients and 12 age-matched healthy normal controls (NC). NSE values were computed both across the all frequency band and separately in the delta, theta, alpha, beta (including beta1, beta2 and beta3), and gamma bands. The Montreal Cognitive Assessment (MoCA) was used to assess the symptom severity of MCI patients and *** values in the alpha and beta1 bands were significantly lower in MCI patients than in NC. NSE values in the alpha and beta1 bands were positively correlated with the MoCA scores in all participants (MCI and NC). In MCI patients, NSE values in the alpha and beta1 bands were also positively correlated with MoCA *** results suggest that NSE values are a useful correlate of EEG synchronization in MCI patients.

关键词： Synchronization

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An algorithm based on bit vector decomposition and hash linklist for mining frequent patterns in data streams

International Journal of Digital Content Technology and its ...

引用

International Journal of Digital Content technology and its Applications 2012年第22期6卷 570-579页

作者： Ren, Jiadong Zhang, Yuanyuan Yu, Shiying College of Information Science and Engineering Yanshan University Qinhuangdao Hebei 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao City 066004 China Hebei Provincial S and T Management Information Center 159 Dongfeng Road Shijiazhuang 050021 China

Most of algorithms based on bit vector for mining frequent pattern always produce candidate itemsets and scan the same data repeatedly;this increases the running time and the space consumption. In this paper, an algorithm BVDAHL based on bit vector decomposition and hash linklist for mining frequent patterns on data streams which solves the above issues, is proposed. The itemsets (transactions) whose corresponding number of 1 is k, denoted as k-one itemsets (k-one transactions). The arrival transactions are converted into bit vectors, and permutations and combinations are used to decompose converted results, then the decomposed itemsets are stored in the hash linklist. In hash function, according to the position of 1 of bit vector to compute the address, if the transaction has same address and same content that already exists in data domain, then the value adds one in count domain, otherwise the pointer in pointer domain points to the next node directly, it is no need to deal with conflict. Afterwards the property of anti-monotonic will be used to prune the k+1-one transactions in bit vector table if there exists infrequent k-one itemsets that decomposed by such k+1-one transactions. Then the algorithm repeats the above processes until the transaction in bit vector table can not be decomposed. Finally we will receive the frequent itemsets by comparing the obtained value of count domain in hash linklist with minSup. Experiment results show that BVDAHL is very efficiency and scalable.

关键词： Hash functions

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Frequent closed itemsets mining using ITBitree

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International Journal of Advancements in Computing technology 2012年第17期4卷 271-279页

作者： Ren, Jiadong Song, Wei Yu, Shiying College of Information Science and Engineering Yanshan University Qinhuangdao Hebei 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao City 066004 China Hebei Provincial S and T Management Information Center 159 Dongfeng Road Shijiazhuang Hebei 050021 China

The set of frequent closed itemsets is much smaller than the one of all frequent itemsets. Meanwhile it retains the completeness. In this paper, we propose an ITBitree-based algorithm, called ITBitreeFCIM (ITBitree Frequent Closed Itemsets Miner), for mining the frequent closed itemsets directly. A novel structure termed ITBitree (Itemset Tidset Binary Tree) is defined to store the transaction and itemset information. Frequent closed itemsets are generated directly by searching the right nodes in each layer and the right nodes in their respective search space deeply from this tree using top-down strategy. For the items with same support in the adjacent layers or the items with the same Tids, we use item merging technique to prune the search space. The searched space is used to avoid the generation of duplicates and enormous closure checks. In the process we do not need to check whether a candidate itemset is closed, so we save a lot of time. The experiment proofs the efficiency of the proposed approach.

关键词： Data mining

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Cluster-based superseding nearest neighbor queries on uncertain data

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Journal of Convergence Information technology 2012年第17期7卷 392-401页

作者： Liu, Wenyuan Li, Wei Du, Ying Chen, Zijun He, Yourui College of Information Science and Engineering Yanshan University Qinhuangdao Hebei 066004 China College of Economics and Management Yanshan University Qinhuangdao Hebei 066004 China The Key Lab. for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao Hebei 066004 China

Recently, query processing based on uncertain data is becoming research focuses. Cluster-based superseding nearest neighbor (CSNN) query algorithm on uncertain data is proposed in this paper. We divide the instances of each object into k clusters by applying the clustering algorithm k-means, and then store these clustered objects in R-tree like index structures. Ranked list will be retrieved through traversing R-tree, which could include instances, clusters, or objects. While unfolding the ranked list, the superseding graph G will be constructed gradually based on the superseding relationship. The final result sets will be found through pruning and validating the superseding graph G. Finally, the experimental results show that the algorithm is efficient and effective.

关键词： Clustering algorithms

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