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Accountable authority key policy attribute-based encryption

Science China(Information Sciences) 2012年第7期55卷 1631-1638页

作者： WANG YongTao 1,2 ,CHEN KeFei 1,3 ,LONG Yu 1,4 & LIU ZhaoHui 2 1 department of Computer Science and engineering,Shanghai Jiao Tong University,Shanghai 200240,China 2 China Information Technology Security Evaluation Center,Beijing 100085,China 3 Shanghai Key Laboratory of Scalable computing and systems,Shanghai Jiao Tong University,Shanghai,200240,China 4 State Key Laboratory of Information Security,Graduate School of Chinese Academy of Sciences,100039,China 1. Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China2. China Information Technology Security Evaluation Center Beijing 100085 China3. Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai 200240 China4. State Key Laboratory of Information Security Graduate School of Chinese Academy of Sciences Beijing 100039 China

We present an accountable authority key policy attribute-based encryption (A-KPABE) *** this paper,we extend Goyal's work to key policy attribute-based encryption *** first generalize the notion of accountable authority in key policy attribute-based encryption scenario,and then give a *** addition,our scheme is shown to be secure in the standard model under the modified Bilinear Decisional Diffie-Hellman (mBDDH) assumption.

关键词： accountable authority key policy attribute-based encryption standard model access structure

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Business process modeling in healthcare

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Studies in Health Technology and Informatics 2012年 179卷 75-87页

作者： Ruiz, Francisco Garcia, Felix Calahorra, Luis Llorente, César Gonçalves, Luis Daniel, Christel Blobel, Bernd Dept. of Technology and Information Systems School of Computing Engineering University of Castilla-La Mancha Paseo de la Universidad 4 E-13071 Ciudad Real Spain Quality Department Hospital General Universitario de Ciudad Real Spain HESE E. P. e Evora Portugal AP-HP University of Paris Descartes INSERM Paris France EHealth Competence Center University Hospital Regensburg Regensburg Germany

The importance of the process point of view is not restricted to a specific enterprise sector. In the field of health, as a result of the nature of the service offered, health institutions' processes are also the basis for decision making which is focused on achieving their objective of providing quality medical assistance. In this chapter the application of business process modelling-using the Business Process Modelling Notation (BPMN) standard is described. Main challenges of business process modelling in healthcare are the definition of healthcare processes, the multi-disciplinary nature of healthcare, the flexibility and variability of the activities involved in health care processes, the need of interoperability between multiple information systems, and the continuous updating of scientific knowledge in healthcare.© 2012 The authors and IOS Press. All rights reserved.

关键词： Health care

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Modelling of a pan and tilt servo system

Modelling of a pan and tilt servo system

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UKACC International Conference on Control (CONTROL)

作者： Samuel Sharp Adam Wicks Andrzej Ordys Gordana Collier Control Systems Department Chess Dynamics Ltd. Horsham United Kingdom Faculty of Science Engineering and Computing Kingston University Kingston upon Thames UK

Two-axis pan and tilt systems are widely used in surveillance applications for high accuracy positioning of sensor payloads such as cameras and laser pointers. In order to develop advanced control algorithms to improve the performance of these systems, a model of the system must be developed. This model should include the dynamics of the system to include effects such as compliance and account for friction effects in the drive. This paper discusses the development of the overall model of the system using National Instruments LabVIEW, and in particular, the models for friction and the drive train that will be used.

关键词： Mathematical model Friction Harmonic analysis Load modeling DC motors Servomotors Equations

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On the revision problem of specification automata

On the revision problem of specification automata

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Kangjin Kim Georgios E. Fainekos Sriram Sankaranarayanan School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA Department of Computer Science University of Colorado Boulder CO USA

One of the important challenges in robotics is the automatic synthesis of provably correct controllers from high level specifications. One class of such algorithms operates in two steps: (i) high level discrete controller synthesis and (ii) low level continuous controller synthesis. In this class of algorithms, when phase (i) fails, then it is desirable to provide feedback to the designer in the form of revised specifications that can be achieved by the system. In this paper, we address the minimal revision problem for specification automata. That is, we construct automata specifications that are as “close” as possible to the initial user intent, by removing the minimum number of constraints from the specification that cannot be satisfied. We prove that the problem is computationally hard and we encode it as a satisfiability problem. Then, the minimal revision problem can be solved by utilizing efficient SAT solvers.

关键词： Automata Encoding Planning Materials requirements planning Trajectory Dynamics

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Geographic-Based Service Request Scheduling Model for Mobile Cloud computing

Geographic-Based Service Request Scheduling Model for Mobile...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Tianyi Xing Hongbin Liang Dijiang Huang Lin X. Cai School of Computing Informatics and Decision Systems Engineering Arizona State University USA School of Information Science and Technology Southwest Jiaotong University China Department of Electrical Engineering Princeton University USA

ISBN: (纸本)9781467321723

With Internet environment is getting optimized and users preferring mobile communications, Cloud Service Providers (CSP) aim to provide services to users depending on their geographic locations with higher service availability and faster access speed. Mobile cloud computing falls into this category, where mobile users can move around and request cloud services at any given geographic locations. To build such a geographic-based mobile cloud services, an effective mobile cloud resource allocation and service request scheduling scheme is highly desired. To this end, the presented service request scheduling scheme takes a comprehensive approach by considering system parameters from both CSP and mobile users such as computation, energy, connectivity, service payment, mobile users' satisfaction, etc. Finally, the performance evaluation of the proposed scheduling scheme is evaluated through simulations where the results show that the presented scheme achieves better system overall gain compared to traditional over-provisioning approaches.

关键词： Mobile communication Mobile handsets Cloud computing Resource management Processor scheduling Servers Computer architecture

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DICB: Dynamic Intelligent Customizable Benign Pricing Strategy for Cloud computing

DICB: Dynamic Intelligent Customizable Benign Pricing Strate...

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IEEE International Conference on Cloud computing, CLOUD

作者： Wei-Tek Tsai Guanqiu Qi Department of Computer Science and Technology Tsinghua University Beijing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA

ISBN: (纸本)9781467328920

As cloud services need a fair pricing for both service providers and customers. If the price is too high, the customer may not use it, if the price is too low, service providers have less incentive to develop services. This paper proposes a novel pricing framework for cloud services using game theory (Cournot Duopoly, Cartel, and Stackelberg models) and data mining techniques (clustering and classification, e.g., SVM (Support Vector Machine)) to determine optimal prices for cloud services. The framework is dynamic because the price is determined based on recent usage data and available resources, it is also intelligent as it takes into various economic models into consideration, it is benign because it considers two conflicting parties, service providers and consumers, into consideration at the same time, and it is customizable based on various pricing strategies proposed by service providers and usage patterns as exhibited by consumers. Linear regression is used in various game theory models to determine the optimal price. A global pricing union (GPU) framework is proposed to achieve the best practice of game theory models. Based on the proposed technique, this paper applies this pricing framework to a case study in cloud services, and demonstrates that the prices obtained meet the requirement of traditional supply-demand analysis. In other words, the price obtained is good enough.

关键词： Pricing Cloud computing Graphics processing unit Companies Production Nash equilibrium

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A Cost-Effective Intelligent Configuration Model in Cloud computing

A Cost-Effective Intelligent Configuration Model in Cloud Co...

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International Conference on Distributed computing systems Workshop

作者： Wei-Tek Tsai Guanqiu Qi Yinong Chen Department of Computer Science and Technology Tsinghua University Beijing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA

Cloud computing environments provide a resource pool for customers for their processing, storage and networking needs. It is necessary for customers to choose desirable configuration from vast resources available in the cloud. This paper proposes a heuristic model to choose a cloud configuration for efficient use. Trend analysis in data mining is used to predict the future trend and assist provisioning. The model is experimented with Intel power 32 core machine and in Azure cloud. Both environments demonstrated that the proposed model provided effective solutions.

关键词： Program processors Computational modeling Memory Cloud computing System performance Predictive models Data mining

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Inter turn short circuit detection at higher modulation indexes including six step operation

Inter turn short circuit detection at higher modulation inde...

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International Conference on Electrical Machines, ICEM

作者： G. Stojčić G. Joksimović M. Vašak N. Perić T. M. Wolbank Department of Energy Systems and Electrical drives at the Vienna University of Technology Vienna Austria Faculty of Electrical Engineering University of Montenegro Podgorica Montenegro Faculty of Electrical Engineering and Computing University of Zagreb Croatia

Inverter fed induction machine drives have become one of the most important part in industrial applications. The devices are usually operated near or at the rated vales. Additionally high dynamic operations, overload cycles and the fast switching inverter are putting additional stress to all machines components. The stator winding system is one of the most critical components. Faults in the winding system of a machine can cause a dramatic damage due to their fast developing behavior. An early detection of winding faults can reduce these consequences. In this paper a method is presented to achieve reliable fault detection on stator winding faults focused on application at higher speed levels where immediate detection is imperative. Higher inverter modulation indexes provide the possibility to estimate the transient leakage inductance in each PWM modulation cycle. This parameter contains the information on machine asymmetries. Specific signal processing steps provide a high sensitive fault indicator.

关键词： Inductance Inverters Transient analysis Current measurement Stators Pulse width modulation

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Break index labeling of mandarin text via syntactic-to-prosodic tree mapping

Break index labeling of mandarin text via syntactic-to-proso...

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International Symposium on Chinese Spoken Language Processing

作者： Xiaotian Zhang Yao Qian Hai Zhao Frank K. Soong Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiaotong University Shanghai China Microsoft Research Asia Beijing China

In this study, we investigate the break index labeling problem with a syntactic-to-prosodic structure conversion. The statistical relationship between the mapped syntactic tree structure and prosodic tree structure of sentences in the training set is used to generate a Synchronous Tree Substitution Grammar (STSG) which can describe the probabilistic mapping (substitution) rules between them. For a given test sentence and the corresponding parsed syntactic tree structure, thus generated STSG can convert the syntactic tree to a prosodic tree statistically. We compare the labeling results with other approaches and show the probabilistic mapping can indeed benefit break index labeling performance.

关键词： IP networks Biological system modeling Pragmatics Abstracts Syntactics

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Classification of prostate histopathology images based on multifractal analysis

Classification of prostate histopathology images based on mu...

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作者： Atupelage, Chamidu Nagahashi, Hiroshi Yamaguchi, Masahiro Abe, Tokiya Hashiguchi, Akinori Sakamoto, Michiie Department of Computational Intelligence and Systems Science Tokyo Institute of Technology Yokohama-shi 226-8503 Japan Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama-shi 226-8503 Japan Global Scientific Information and Computing Center Tokyo Institute of Technology Tokyo 152-8550 Japan Department of Pathology School of Medicine Keio University Tokyo 160-8582 Japan

Histopathology is a microscopic anatomical study of body tissues and widely used as a cancer diagnosing method. Generally, pathologists examine the structural deviation of cellular and sub-cellular components to diagnose the malignancy of body tissues. These judgments may often subjective to pathologists' skills and personal experiences. However, computational diagnosis tools may circumvent these limitations and improve the reliability of the diagnosis decisions. This paper proposes a prostate image classification method by extracting textural behavior using multifractal analysis. Fractal geometry is used to describe the complexity of self-similar structures as a non-integer exponent called fractal dimension. Natural complex structures (or images) are not self-similar, thus a single exponent (the fractal dimension) may not be adequate to describe the complexity of such structures. Multifractal analysis technique has been introduced to describe the complexity as a spectrum of fractal dimensions. Based on multifractal computation of digital imaging, we obtain two textural feature descriptors;i) local irregularity: α and ii) global regularity: f (α). We exploit these multifractal feature descriptors with a texton dictionary based classification model to discriminate cancer/non-cancer tissues of histopathology images of H&E stained prostate biopsy specimens. Moreover, we examine other three feature descriptors;Gabor filter bank, LM filter bank and Haralick features to benchmark the performance of the proposed method. Experiment results indicated that the performance of the proposed multifractal feature descriptor outperforms the other feature descriptors by achieving over 94% of correct classification accuracy. Copyright © 2012 The Institute of Electronics, Information and Communication Engineers.

关键词： Fractal dimension

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