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Mining software behavior pattern from software execution trace

ICIC Express Letters, Part B: Applications 2015年第12期6卷 3367-3372页

作者： Ren, Jiadong Wu, Hongfei Yin, Tengteng Li, Yanling Liu, Jiaxin Dong, Jun College of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao066004 China The Key Laboratory for Computer Virtual Technology System Integration of Hebei Province No. 438 Hebei Avenue Qinhuangdao066004 China

A software execution trace can be viewed as a series of events. An event may correspond to the execution of a basic block, the invocation of a class or a method. These traces imply important unique characteristics of software behaviors. In this paper, a novel approach to mine representative software behavior patterns is proposed. First, we give an exact definition of Common Closed Ordered Iterative Pattern (CCOIP). The pattern may occur many times not only within a single trace but also across multiple traces. Then, an efficient algorithm called CCOIP-Miner is proposed to mine CCOIP. The mined CCOIPs are regarded as representative software behavior patterns. Our experiment results show the efficiency of algorithm CCOIP-Miner. © 2015, ICIC Express Letters Office. All rights reserved.

关键词： Miners

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Research on community detection algorithm based on modularity maximum

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ICIC Express Letters 2016年第12期10卷 2995-3003页

作者： Chen, Jing Wan, Yun College of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province No. 438 Hebei Avenue Qinhuangdao066004 China

It is well known that the drawbacks of label propagation algorithm are high randomness, weak robustness and easy to form monster community. Many improved methods are proposed constantly in order to avoid these problems. However, the related label propagation algorithm is seldom concerned with the stability of community structure and the results of community detection. In order to obtain the high value communities, modularity and community structure are involved in detecting communities. In this paper, the algorithm CDMMCS (Community Detection based on Modularity Maximum and Community Structure) is proposed. The main idea is based on label propagation, but CDMMCS begins with some small communities, and the process of label updating is in consideration of the modularity maximum. When the label stops propagating, the communities with the same label are merged. Check the community structure of merged communities, and perform different operations according to different community structures. Experiments show that CDMMCS successfully detects communities with higher modularity values than LPA (Label Propagation Algorithm) and LPAm+ in some realworld networks. And the running time of CDMMCS is less than LPAm+. © 2016 ICIC International.

关键词： Population dynamics

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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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Fourth Normal Form and Free Redundancy for XML Document Based on Path Expression

Fourth Normal Form and Free Redundancy for XML Document Base...

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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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Towards Constant-Time Cardinality Estimation for Large-Scale RFID systems

Towards Constant-Time Cardinality Estimation for Large-Scale...

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International Conference on Parallel Processing (ICPP)

作者： Binbin Li Yuan He Wenyuan Liu School of Information Science and Engineering YanShan University China TNLIST Tsinghua University China The Key Laboratory for Computer Virtual Technology System Integration of HeBei Province China

ISBN: (纸本)9781467375887

Cardinality estimation is the process to survey the quantity of tags in a RFID system. Generally, the cardinality is estimated by exchanging information between reader(s) and tags. To ensure the time efficiency and accuracy of estimation, numerous probability-based approaches have been proposed, most of which follow a similar way of minimizing the number of required time slots from tags to reader. The overall execution time of the estimator, however, is not necessarily minimized. The estimation accuracy of those approaches also largely depends on the repeated rounds, leading to a dilemma of choosing efficiency or accuracy. In this paper, we propose BFCE, a Bloom Filter based Cardinality Estimator, which only needs a constant number of time slots to meet desired estimation accuracy, regardless of the actual tag cardinality. The overall communication overhead is also significantly cut down, as the reader only needs to broadcast a constant number of messages for parameter setting. Results from extensive simulations under various tag IDs distributions shows that BFCE is accurate and highly efficient. In terms of the overall execution time, BFCE is 30 times faster than ZOE and 2 times faster than SRC in average, the two state-of-the-arts estimation approaches.

关键词： Estimation Radiofrequency identification Servers Probabilistic logic Protocols Approximation methods Error probability

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LocP: An efficient Localized Polling Protocol for large-scale RFID systems

LocP: An efficient Localized Polling Protocol for large-scal...

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International Conference on Network Protocols

作者： Binbin Li Yuan He Wenyuan Liu Lin Wang Hongyan Wang School of Information Science and Engineering YanShan University China TNLIST Tsinghua University China The Key Laboratory for Computer Virtual Technology and System Integration HeBei Province China

ISBN: (纸本)9781509032822

RFID systems nowadays are operated at large-scale in terms of both occupied space and tag quantity. One may have prior knowledge of the complete set of tags (denoted by N) and any set of wanted tags (denoted by M) within the complete set, i.e., M ⊆ N. Then here comes an open problem: when one is particularly interested in a subarea of the system, how to collect information (not simply tagIDs) from a wanted subset (denoted by d M ) of the interrogated tags (denoted by d N ) in that subarea? This issue has great significance in many practical applications but appears to be challenging when there is a stringent time constraint. In this work, we first establish the lower-bound of this problem, and show a straightforward polling solution. Then, we propose a novel polling protocol called LocP, which consists of two phases: the Tags-Filtering phase and the Ordering-and-Reporting phase. LocP employs Bloom Filter twice to significantly reduce the scale of candidate tags in the Tags-Filtering phase. In the Ordering-and-Reporting phase, tags determine their own transmission time-slots according to the allocation vectors iteratively broadcasted by the reader. LocP thus achieves a delicate tradeoff between time and polling accuracy. We conduct extensive simulations to evaluate the performance of LocP. The results demonstrate that LocP is highly efficient in terms of information collection time, leading to convincing applicability and scalability of large-scale RFID systems.

关键词： Protocols Radiofrequency identification Microwave integrated circuits Market research Conferences Scalability Airports

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Human Movement Detection and Gait Periodicity Analysis Using Channel State Information

Human Movement Detection and Gait Periodicity Analysis Using...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Zijuan Liu Lin Wang Wenyuan Liu Binbin Li School of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province School of Economics and Management Yanshan University Qinhuangdao HeBei China

ISBN: (纸本)9781509056972

Under the influence of multipath effects and small scale fading, the robustness and reliability of the existing human detection methods based on radio frequency signals are easy to be impaired. In this paper, we propose a novel design that using the multi-layer filtering of channel state information (CSI) to identify moving targets in dynamic environments and analyze the gait periodicity of human. We employ an efficient CSI subcarrier feature difference to the multi-layer filtering method leveraging principal component analysis (PCA) and discrete wavelet transform (DWT) to eliminate the noises. Furthermore, we propose a profile matching mechanism for human detection and a periodicity analysis mechanism for human gait taking advantage of the above design. We evaluated it with the commodity Wi-Fi infrastructures in different environments. Experimental results indicate that our approach performs identification of human with an average accuracy of 94%.

关键词： Principal component analysis Wireless sensor networks Wireless communication Discrete wavelet transforms Feature extraction Wireless fidelity Object detection

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Complementarity Analysis of Cloud API Ecosystems: An Empirical Study on ProgrammableWeb and Huawei AppGallery Datasets

Complementarity Analysis of Cloud API Ecosystems: An Empiric...

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IEEE International Conference on Web Services (ICWS)

作者： Xiaowei Liu Mengmeng Sun Wenhui Chen Dianlong You Limin Shen Zhen Chen School of Information Science and Engineering Yanshan University Qinhuangdao China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao China

ISBN: (数字)9798350368550

ISBN: (纸本)9798350368567

With the proliferation of the digital economy, cloud API has become the best carrier for data transmission and capability replication in software development. In the service-oriented software development paradigm, developers select appropriate cloud APIs for mashup creation based on their practical needs, where complementarity is an important consideration. Complementarity is reflected in various implicit relationships within mashups and cloud APIs, making complementarity analysis of cloud API ecosystems a critical issue. However, existing studies have overlooked the complementarity, and the lack of application variety in the primary dataset ProgrammableWeb has added a threat to the validity and generalization. In this paper, we first build a dataset of two cloud API ecosystems: ProgrammableWeb centering on mashup creation and Huawei AppGallery centering on mobile app development. Then, we conduct statistical and graph analysis to compare the two ecosystems. Finally, we propose a modeling approach to quantify complementarity and perform an analysis to investigate the role of complementarity in cloud API ecosystems. The results reveal differences between mashups and mobile apps in their preferences for cloud APIs. It also highlights the potential of complementarity in addressing the long-tail problem in cloud API ecosystems and improving cloud API recommendations.

关键词： Analytical models Mashups Ecosystems Mobile applications Data communication Software development management

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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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A novel algorithm for outlier mining in the internet of things

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ICIC Express Letters 2013年第1期7卷 215-219页

作者： Chen, Wei Liu, Yongshan Zhang, Yang College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province No. 438 Hebei Ave. Qinhuangdao 066004 China

Most of the traditional outlier mining algorithms are not suitable for high dimensional datasets. However, the dimensionality of the dataset in the field of the Internet of Things is high. Therefore, Hypergraph-based Outlier Mining (HOM) algorithm is proposed to solve the problem. Two different hypergraph models are constructed in the HOM algorithm. One is itemset hypergraph. One-itemset in transaction database is itemset hypergraph's vertices, and the transactions are itemset hypergraph's hyperedges. The other one is transaction hypergraph. The transactions are its vertices, and frequent itemsets are the hyperedges. The outliers are found by hypergraph partitioning. Experiments show that HOM algorithm can effectively find the outliers in high dimensional space. ©2013 ICIC International.

关键词： Statistics

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