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arXiv 2018年

作者： Bohdalová, Mária Kalina, Martin Nánásiová, Olga Dept. of Inf. Systems Faculty of Management Comenius University Bratislava Dept. of Mathematics Faculty of Civil Engineering Slovak University of Technology Bratislava Institute of Computer Science and Mathematics Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava

The intention of this paper is to discuss the mathematical model of causality introduced by C.W.J. Granger in 1969. The Granger's model of causality has become well-known and often used in various econometric models describing causal systems, e.g., between commodity prices and exchange rates. Our paper presents a new mathematical model of causality between two measured objects. We have slightly modified the well-known Kol-mogorovian probability model. In particular, we use the horizontal sum of set σ-algebras instead of their direct *** Codes 03G12, 06C15, 81P10 Copyright © 2018, The Authors. All rights reserved.

关键词： Statistical tests

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TEM Characterization of the Edges of CsPb2Br5 Perovskite Crystals

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Microscopy and Microanalysis 2018年第S1期24卷 1984-1985页

作者： Hector A. Calderon Francisco Robles-Hernandez Yanan Wang Chong Wang Xinghua Su Viktor G. Hadjiev Yizhou Ni Md Kamrul Alam Yan Yao Yu Yang Instituto Politecnico Nacional ESFM Depto. Fisica CDMX Mexico 07338 Inst. of Fund. Frontier Scie. U. of Electronic Science and Technology Sichuan610054 China Dep. of Electrical and Computer Engineering University of Houston Houston Texas77204 USA Inst. of Optoel. Inf. Mat. School of Mat. Sci. and Eng. Yunnan University Kunming 650091 China School of Materials Science and Engineering Chang'an University Xi'an Shaanxi710061 China Texas Center for Superconductivity University of Houston Houston TX77204 USA Department of Mechanical Engineering University of Houston Houston TX77204 USA Department of Physics University of Houston Houston Texas77204 USA Materials Science & Engineering University of Houston Houston Texas77204 USA

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Anomaly detection and monitoring in Internet of Things communication

Anomaly detection and monitoring in Internet of Things commu...

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International Conference on inf.rmation Technology and Electrical engineering (ICITEE)

作者： Deris Stiawan Mohd. Yazid Idris Reza Firsandaya Malik Siti Nurmaini Rahmat Budiarto Department of Computer Engineering Universitas Sriwijaya Dept. Soft Engineering Universiti Teknologi Malaysia College of Computer Science & Inf. Technology Albaha University Saudi Arabia

ISBN: (纸本)9781509041404

The Internet of Things (IoT) presents unique challenges in detecting anomaly and monitoring all connected devices in a network. Moreover, one of the objectives of anonymity in communication is to protect the data traffic of devices. The summary status visualization is indispensable to depict all devices/sensors that are most indicative of a pending failure and a predictive power/energy. Thus, this paper proposes a multi-platform monitoring and anomaly detection system that supports heterogeneous devices. The proposed system addresses the problems of: (i) how to monitor the network to prevent device failures and (ii) how to design a comprehensive feature for the early anomaly detection of IoT communication.

关键词： Heterogeneous Monitoring Detection Anomaly Internet of Things

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Double Constrained NMF for Partial Multi-View Clustering

Double Constrained NMF for Partial Multi-View Clustering

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Bin Qian Xiaobo Shen Yanyang Gu Zhenmin Tang Yuhua Ding School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Sch. of Inf. & Commun. Technol. Griffith Univ. Nathan Griffith NSW Australia

Many computer vision problems involve data with multiple views, where each view corresponds to a certain type of feature. To integrate inf.rmation from multiple views in the unsupervised setting, multi-view clustering methods have been developed to cluster multiple views simultaneously. Most existing methods only consider the case that each example appears in all the views. However, data with partial views is often occurred in real applications. For example, several certain sensors sometimes have faults, then the data may not be captured completely, which will lead to the case that only partial views are available. In this paper, we propose a nonnegative matrix factorization (NMF) method for partial multi-view clustering, which incorporates the cluster similarity and manifold preserving constraints into an unified framework. The basic idea of the proposed method, named Double Constrained NMF (DCNMF), is to push clustering solutions of different views from the same examples towards a common membership matrice, and to maintain the latent geometric structure of the views simultaneously. Moreover, we develop an efficient optimization scheme for the proposed method. Experiments on several two-view datasets demonstrate the advantages of the proposed method on partial multi-view clustering tasks.

关键词： Manifolds Clustering methods Optimization Feature extraction Subspace constraints Loss measurement computer science

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GMiner: Rule-Based Fuzzy Clustering for Google Drive Behavioral Type Mining

GMiner: Rule-Based Fuzzy Clustering for Google Drive Behavio...

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International computer Symposium (ICS)

作者： Chih-Hung Hsieh Cheng-Hao Yan Ching-Hao Mao Chi-Ping Lai Jenq-Shiou Leu Institute for Information Industry Taipei Taiwan Inst. for Inf. Ind. Taipei Taiwan Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taiwan R.O.C

ISBN: (纸本)9781509034390

Due to more and more on-premises services are migrating onto cloud, user behavioral analysis then gets popular as a data-driven way to administer lots accounts of on-cloud services. This paper proposes a novel rule-based approach, GMiner, for mining different types of Google cloud drive usages as an unsupervised account-management approach. Experiment results show that GMiner provides accurate, inter-pretable, and visualized clustering results which are helpful for highlighting inactive, quasi-insider accounts, or other potential cyber-security risks from real-environment dataset.

关键词： Google Fuzzy sets Sociology Statistics Data visualization Pragmatics Companies

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Dynamic content selection-and-prediction framework applied to reversible data hiding

Dynamic content selection-and-prediction framework applied t...

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IEEE International Workshop on inf.rmation Forensics and Security (WIFS)

作者： Han-Zhou Wu Hong-Xia Wang Yun-Qing Shi School of Inf. Science & Technology Southwest Jiaotong University Chengdu P. R. China Dept. of Electrical & Computer Engineering New Jersey Institute of Technology Newark NJ United States

ISBN: (纸本)9781509011391

The existing reversible data hiding (RDH) methods often use a fixed pixel preselection pattern and predictor to generate prediction errors that are then utilized for embedding secret data. According to Kerckhoffs's principle, this deterministic operation may allow an illegal decoder to successfully reconstruct the marked prediction-error histogram from a marked image, which is not desirable in application scenarios. This has prompted us to propose a dynamic content selection-and-prediction framework for the RDH in this paper. The proposed framework aims to auto-preselect the complex pixels out from a given image to predict the rest pixels that are thereafter exploited to carry the secret data. Comparing with some state-of-the-art algorithms, the proposed technique guarantees that, the illegal decoder will hardly locate the whole marked pixels and determine the marked prediction errors, which can ensure the security level. In our designed framework, after pixel selection and prediction, there exists a lot of freedom to design the data embedding procedure, meaning that, the proposed framework can be applied to the design of an RDH scheme. In the experiments, we simply employ an optimized histogram shifting operation for data embedding after applying the proposed framework. Our experimental results have shown that, the data embedding process can benefit from the proposed pixel selection and prediction procedure with relatively low embedding rates, and therefore significantly outperform some related works in terms of the payload-distortion performance, especially for images with more smooth regions.

关键词： Complexity theory Histograms Receivers Prediction algorithms Image edge detection Context Electronic mail

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MOOCs for K-12 and Higher Education in Taiwan

MOOCs for K-12 and Higher Education in Taiwan

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IIAI International Conference on Advanced Applied inf.rmatics (IIAIAAI)

作者： Stephen J. H. Yang Jeff C. H. Huang Anna Y. Q. Huang Irene Y. L. Chen Department of Computer Science and Information Engineering National Central University Taiwan ROC Dept. of Comput. Sci. & Inf. Eng. Hwa Hsia Univ. of Technol. Taiwan Dept. of Comput. Sci. & Inf. Eng. Nat. Central Univ. Jhongli Taiwan Department of Accounting National Changhua University of Education Taiwan ROC

ISBN: (纸本)9781467389860

According to the phenomenon of MOOCs gained widespread exposure in the U. S. academic world, the inf.sion of MOOCs into traditional education has become a new trend in Taiwan since 2013. By February 2016, more than 170,000 learners have registered for various MOOC Chinese course platforms, and these platforms have collected more than 500 MOOC Chinese courses. Given that large number of partners and registers are using various MOOC Chinese course platforms, MOOCs have greatly affected education in Taiwan. Besides the government-funding projects, the industry in Taiwan also devoted to the development of MOOCs through providing free MOOCs platforms. The cooperation among industry and government have focused on reforming the spirit of Taiwan's education by applying MOOC courses at all education levels to realize flipped classroom. Observing the MOOCs movement in Taiwan, MOOCs pose a new means of self-regulated learning from K-12 education to higher education levels.

关键词： Education Urban areas Industries Government Online services Market research Electronic mail

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A Study on Efficient Log Visualization Using D3 Component against APT: How to Visualize Security Logs Efficiently?

A Study on Efficient Log Visualization Using D3 Component ag...

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International Conference on Platform Technology and Service (PlatCon)

作者： Jaehee Lee Jinhyeok Jeon Changyeob Lee Junbeom Lee Jaebin Cho Kyungho Lee Department of Information Security Korea University Seoul Korea Department of Computer Science and Engineering Sogang University Seoul Korea Deparment of Convergence Secuirty Kyonggi University Seoul Korea Dept. of Inf. & Telecommun. Eng. Univ. of Suwon Seoul South Korea Department of Information and Telecommunications Engineering University of Suwon Seoul Korea

APT attack has caused chaos in society since 2006. Especially, the vulnerability of the inf.astructure is exposed to the outside a lot due to the development of the IT inf.astructure in Korea. In addition, APT attacks targeting companies' major confidential inf.rmation are increasing every year. APT attack causes negative publicity for the company and financial damage. APT is completely different from the problem which most organizations have been dealt with. Cyber-attack threats were visible in the past. But currently, APT attacks were invisible and focused on confidential data. Therefore, we need a new approach to solve this problem. We have to find traces of prejudice in the circumstances, everything seems normal. If we perform a correlation analysis of the log acquired from all the devices, systems and applications, we can easily understand the problems which occur in our inf.rmation systems. Current commercial SIEM has the ability to visualize the correlation analysis and the log. But the security officer takes a lot of time to understand the visualized security logs. Moreover, due to expensive cost of SIEM solution, small companies have difficulty introducing SIEM solution. For these reasons, we have developed a SIEM solution based on open-source program such as D3 component which results in decreasing the cost of the program. In addition, we analyzed the D3 components which can visualize the security logs, and matched D3 components with the security logs. In this paper, we propose the visualization methods using D3 components for analyzing the security logs efficiently.

关键词： Security Data visualization Correlation Companies Monitoring Risk management Retirement

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Optimal Dynamic Power Management for Green Coordinated Multipoint Systems

Optimal Dynamic Power Management for Green Coordinated Multi...

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IEEE Global Communications Conference

作者： Xin Wang Tianyi Chen Yu Zhang Georgios B. Giannakis Key Lab for Inf. Sci. of EMW (MoE) Dept. of Communication Science & Engineering Fudan University Dept. of Electrical & Computer Engineering Digital Technology Center University of Minnesota

ISBN: (纸本)9781479959532

The paper deals with dynamic energy management for smart-grid powered coordinated multi-point (CoMP) transmissions. Aiming to minimize the expected energy transaction cost while guaranteeing the worst-case users' quality of service (QoS), an inf.nite-horizon optimization problem is formulated to obtain the optimal downlink transmit beamformers that are robust to channel uncertainties. Capitalizing on the virtual-queue based relaxation technique and the stochastic dual-subgradient method, an efficient online algorithm is developed in this context. Without a-priori knowledge of any statistics of the underlying random processes, it is rigorously established that the proposed algorithm is able to yield a feasible and asymptotically optimal solution.

关键词： CoMP systems Downlink beamforming High-penetration renewables Stochastic optimization

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Re-visiting the 'Maintainability Index' Metric from an Object-Oriented Perspective

Re-visiting the 'Maintainability Index' Metric from an Objec...

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Euromicro Conference on Software engineering and Advanced Applications (SEAA)

作者： S. Counsell X. Liu S. Eldh R. Tonelli M. Marchesi G. Concas A. Murgia Dept. of Computer Science Brunel University London Ericsson AB Kista Sweden Dept. of Electrical Engineering University of Cagliari Italy Dept. of Mathematics-Inf. University of Antwerp Belgium

The Maintainability Index (MI) metric was proposed in the early nineties to gauge ease of code maintenance. A high value of MI indicates well-constructed code which is easy to maintain and a low MI, the opposite. The metric has been criticized in the past and more recently for its applicability to code and validity more generally. Very few studies however have explored whether the MI correlates strongly with class features such as coupling, defects or size - features of object-oriented (OO) classes which are acknowledged to be surrogates of maintenance complexity. We explore the relationship between the MI and these four perspectives. Three releases of two Eclipse projects were used as the empirical basis of the study and the JHawk tool was used to extract class-based metrics. Significant correlations were found between class features and the MI for all class features except fan-in which measures incoming coupling and determined externally by 'using' classes, however, further exploration of the data revealed that the application of the MI to an OO paradigm was not particularly successful, due primarily to the inf.uence of class size. For OO systems, we would thus warn against the use of MI as a measure of maintenance.

关键词： Measurement Correlation Couplings Complexity theory Correlation coefficient Maintenance engineering Software

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