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A Structural Analysis of SLAs and Dependencies Using Conceptual Modelling Approach

A Structural Analysis of SLAs and Dependencies Using Concept...

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IEEE Annual Computer Software and Applications Conference Workshops (COMPSACW)

作者： William W. Song Aijaz Soomro Yang Li Qin Liu Department of Information Systems Dalarna University Sweden British Telecom UK School of Engineering and Computing Sciences Durham University UK School of Software Engineering Tongji University China

Making good use of Service Level Agreements (SLA) becomes crucial for an enterprise both to provide value added products and services to customers and to protect the interest of parties involved in the business activities. Well formed and effective structural representation and management of SLAs in conceptual modeling can greatly support the understanding and communication of service development and deployment as well as maintenance of quality of service. Existing specifications and structures for SLAs do not fully formalize and support for different automatic and dynamic behavioral aspects needed within business enterprises due to lack of study focusing on SLAs templates and their contents, which are mostly written on Natural Language (NL). We address the issues of how to use conceptual models to describe the structures of SLAs and the various relationships between SLAs and their items, and hence to better depict business domains. With focus on the contents, process, and dependencies among SLAs, we aim to use so generated concept model for service discovery, service delivery and scheduling.

关键词： Quality of service Contracts Measurement Mobile communication Service-oriented architecture

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Automated Quantification of Retinal Arteriovenous Nicking from Colour Fundus Images

Automated Quantification of Retinal Arteriovenous Nicking fr...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Uyen T. V. Nguyen Alauddin Bhuiyan Laurence A. F. Park Ryo Kawasaki Tien Y. Wong Jie J. Wang Paul Mitchell Kotagiri Ramamohanarao Department of Computing and Information Systems The University of Melbourne ICT Centre Commonwealth Scientific and Industrial Research Organization (CSIRO) School of Computing Engineering and Mathematics the University of Western Sydney Centre for Eye Research Australia University of Melbourne Centre for Vision Research Department of Ophthalmology Westmead Millennium Institute Centre for Vision Research Westmead Millennium Institute Department of Computing and Information Systems the University of Melbourne

ISBN: (纸本)9781457702150

Retinal arteriovenous nicking (AV nicking) is the phenomenon where the venule is compressed or decreases in its caliber at both sides of an arteriovenous crossing. Recent research suggests that retinal AVN is associated with hypertension and cardiovascular diseases such as stroke. In this article, we propose a computer method for assessing the severity level of AV nicking of an artery-vein (AV) crossing in color retinal images. The vascular network is first extracted using a method based on multi-scale line detection. A trimming process is then performed to isolate the main vessels from unnecessary structures such as small branches or imaging artefact. Individual segments of each vessel are then identified and the vein is recognized through an artery-vein identification process. A vessel width measurement method is devised to measure the venular caliber along its two segments. The vessel width measurements of each venular segment is then analyzed and assessed separately and the final AVN index of a crossover is computed as the most severity of its two segments. The proposed technique was validated on 69 AV crossover points of varying AV nicking levels extracted from retinal images of the Singapore Malay Eye Study (SiMES). The results show that the computed AVN values are highly correlated with the manual grading with a Spearman correlation coefficient of 0.70. This has demonstrated the accuracy of the proposed method and the feasibility to develop a computer method for automatic AV nicking detection. The quantitative measurements provided by the system may help to establish a more reliable link between AV nicking and known systemic and eye diseases, which deserves further examination and exploration.

关键词： Retinal arteriovenous nipping computer programs Retinaldehyde Width measurement Venules on line detection pressure vessels

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Regrouping of pattern clusters to reveal characteristics of distinct classes and related classes

Regrouping of pattern clusters to reveal characteristics of ...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Pei-Yuan Zhou En-Shiun Annie Lee Andrew K.C. Wong Department of Computing The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Systems Design Engineering University of Waterloo Waterloo Ontario Canada

ISBN: (纸本)9781479913114

Discovering protein patterns for amino acids and their biochemical properties is important for revealing the underlying biophysical models. From this, pattern clustering was introduced in order to relate the discovered protein patterns to taxonomic classes in a localized region of a protein. This paper proposes an algorithm to synthesize and re-group pattern clusters, maximizing their separability in order to reveal class characteristics of the localized region of the protein based on our previous work. To evaluate the pattern clustering and regrouping pattern clusters results, we introduce three evaluation measures: F-measure, class entropy measure, and attribute entropy measure. To validate our proposed algorithm, experiments are run on synthetic data, protein family for amino acid attributes, and chemical property attributes. The experimental results show that: a) the result for regrouping pattern clusters is more accurate in class separation than only using pattern clustering;b) The clusters after regrouping are more distinctly separable with each other than only using pattern clustering;c) two types of pattern clusters are found, with one pertaining to distinct classes and the other associating with two or more related classes;and d) class characteristics are clearly revealed in the data subspace containing the patterns in the pattern clusters. The datasets with chemical properties show that unsupervised techniques can reveal common chemical attributes in the inherent classes as more of the common properties shared by different amino acids are taken into account

关键词： regrouping pattern cluster local optimal taxonomy protein functionality

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Extension of iVAT to asymmetric matrices

Extension of iVAT to asymmetric matrices

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Timothy C. Havens James C. Bezdek Christopher Leckie Marimuthu Palaniswami Department of Electrical and Computer Engineering Department of Computer Science Michigan Technological University Houghton MI USA Department of Computing and Information Systems University of Melbourne VIC Australia Department of Electrical and Electronic Engineering University of Melbourne VIC Australia

The iVAT algorithm reorders (symmetric) dissimilarity data so that an image of the data may reveal cluster substructure. This paper extends the method so that it can handle asymmetric dissimilarity data. The extension is based on replacing the asymmetric input data with its unique least-squared error approximation by a symmetric matrix. Examples are given to illustrate the new method, called asymmetric iVAT (asiVAT).

关键词： Symmetric matrices Vectors Iris Tin Contamination Clustering algorithms Visualization

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Vibration signal analysis for fault detection of combustion engine using neural network

Vibration signal analysis for fault detection of combustion ...

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International Conference on Industrial and Information systems, ICIIS

作者： N. D. Liyanagedera A. Ratnaweera D. I. B. Randeniya Dept of Computing & Information Systems Wayamba University of Sri Lanka Kuliyapitiya Sri Lanka Department of Mechanical Engineering University of Peradeniya Peradeniya Sri Lanka

A non linear relationship between an internal combustion engine and its engine parameters such as vibration signals/ exhaust gas is expected to be available. Under various fault conditions, vibration signals were collected using a test-bed to prove this. Fourier transformed vibration signals were mapped to their corresponding faults using a back propagation neural network. The network consists with about 250 input nodes and 150 hidden nodes; resilient back-propagation was used to deal with the complexity created by the high number of nodes. The collected dataset was divided and used for training and testing; and selection combination was changed to check different types of conditions. Using a neural network, creating a relationship between simulated engine faults and their corresponding vibration signals was successful. Although an engine is a complex environment with a lot of unexpected conditions, this result can be used as a start to help predicting engine faults in an efficient and accurate manner. Additional engine characteristics such as exhaust gas/ com port data can also be used to future enhance this fault predicting system.

关键词： Engines Training Vibrations Neural networks Signal processing algorithms Fault diagnosis Combustion

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Finite-Horizon Estimation of Randomly Occurring Faults for Discrete Time-Varying systems

Finite-Horizon Estimation of Randomly Occurring Faults for D...

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International Conference on Automation and computing

作者： Hongli Dong Zidong Wang Bo Shen College of Electrical and Information Engineering Northeast Petroleum University Department of Information Systems and Computing Brunel University School of Information Science and Technology Donghua University

ISBN: (纸本)9781479912360

This paper deals with the finite-horizon estimation of randomly occurring faults for a class of linear discrete time-varying systems. All the system parameters are time-varying and the failures are assumed to occur in a random way, and two sets of Bernoulli distributed white sequences are introduced to govern the failures probability. By using the completing squares method and stochastic analysis techniques, necessary and sufficient conditions for the existence of the finite-horizon H_∞ fault estimator are derived, and then the time-varying fault estimator parameters are obtained by solving coupled backward recursive Riccati difference equations (RDEs). A simulation example is utilized to illustrate the usefulness of the proposed fault estimation method.

关键词： Fault estimation Randomly occurring faults Time-varying systems Recursive Riccati difference equations

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Converting continuous-space language models into N-gram language models for statistical machine translation

Converting continuous-space language models into N-gram lang...

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2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013

作者： Wang, Rui Utiyama, Masao Goto, Isao Sumita, Eiichro Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto619-0289 Japan MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai200240 China

ISBN: (纸本)9781937284978

Neural network language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) when they are used for reranking n-best translations. However, CSLMs have not been used in the first pass decoding of SMT, because using CSLMs in decoding takes a lot of time. In contrast, we propose a method for converting CSLMs into back-off n-gram language models (BNLMs) so that we can use converted CSLMs in decoding. We show that they outperform the original BNLMs and are comparable with the traditional use of CSLMs in reranking. © 2013 Association for Computational Linguistics.

关键词： Decoding

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Customer Satisfaction-Aware Scheduling for Utility Maximization on Geo-distributed Cloud Data Centers

Customer Satisfaction-Aware Scheduling for Utility Maximizat...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Chao Jing Yanmin Zhu Minglu Li Department of Computer Science and Engineering Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University P. R. China

With the increasingly growing amount of service requests from the world-wide customers, the cloud systems is capable of providing services while meeting the customers' satisfaction. Recently, to achieve the better reliability and performance, the cloud systems has been largely depending on the geographically distributed data centers. Nevertheless, the dollar cost of service placement by service providers (SP) differ from the multiple regions. Accordingly, it is crucial to design a request dispatching and resource allocation algorithm to maximize net profit. The existing algorithms are either built upon energy-efficient schemes alone, or multi-type requests and customer satisfaction oblivious. They cannot be applied to multi-type requests and customer satisfaction-aware algorithm design with the objective of maximizing net profit. This paper proposes a customer satisfaction-aware algorithm based on the Ant-Colony Optimization (AMP) for geo-distributed data centers. By introducing the model of customer satisfaction, we formulate the utility (or net profit) maximization issue as an optimization problem under the constraints of customer satisfaction and data centers. AMP maximizes SP net profit by dispatching service requests to the proper data centers and generating the appropriate amount of Virtual Machines (VMs) to meet customer satisfaction. To evaluate the proposed algorithm, we have conducted the comprehensive simulation and compared with the other state-of-the-art algorithms. Conclusive results have demonstrated the effectiveness of AMP both in small and large scale problem.

关键词： Customer satisfaction Electricity Servers Optimization Algorithm design and analysis Data models Carbon dioxide

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A sociality-aware approach to computing backbone in mobile opportunistic networks

A sociality-aware approach to computing backbone in mobile o...

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2013 IEEE Global Communications Conference (GLOBECOM)

作者： Tong Liu Yanmin Zhu Ruobing Jiang Bo Li Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai Key Lab of Scalable Computing and Systems Hong Kong University of Science and Technology

ISBN: (纸本)9781479913510

There are increasing interests on mobile opportunistic networks which have promising applications. Constructing a mobile backbone can effectively improve the packet delivery performance of a mobile opportunistic network by excluding poor relay nodes and reducing packet collisions. However, it is highly challenging to construct an effective mobile backbone because of the absence of the quantitative relationship between the network performance and the selection of backbone nodes, and expositive search space. As nodes exhibit clear sociality observed in previous studies, We explicitly take such node sociality into account when computing the backbone for mobile opportunistic networks and we incrementally propose three algorithms for computing the mobile backbone. Trace-driven simulations have been conducted and simulation results demonstrate that the sociality-aware algorithms can achieve low delivery delay and high delivery ratio.

关键词： Mobile communication Mobile computing Delays Algorithm design and analysis Relays Time complexity Clustering algorithms

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A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Pa...

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International Conference on Cyber-Enabled Distributed computing and Knowledge Discovery, CyberC

作者： Nuwan Ganganath Chi-Tsun Cheng Department of Computing and Information Systems Wayamba University of Sri Lanka Kuliyapitiya Sri Lanka Department of Electronic and Information Engineering The Hong Kong Polytechnic University Kowloon Hong Kong

Wireless sensor networks are usually deployed in scenarios that are too hostile for human personnel to perform maintenance tasks. Wireless sensor nodes usually exchange information in a multi-hop manner. Connectivity is crucial to the performance of a wireless sensor network. In case a network is partitioned due to node failures, it is possible to re-connect the fragments by setting up bridges using mobile platforms. Given the landscape of a terrain, the mobile platforms should be able reach the target position using a desirable path. In this paper, an off-line robot path planner is proposed to find desirable paths between arbitrary points in a given terrain. The proposed path planner is based on ACO algorithms. Unlike ordinary ACO algorithms, the proposed path planner provides its artificial ants with extra flexibility in making routing decisions. Simulation results show that such enhancement can greatly improve the qualities of the paths obtained. Performances of the proposed path planner can be further optimized by fine-tuning its parameters.

关键词： Wireless sensor networks Routing Path planning Turning Robot sensing systems Wireless communication

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