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检索条件"任意字段=2014 IEEE International Conference on Progress in Informatics and Computing"

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Generalized tensor product Bézier surfaces

Generalized tensor product Bézier surfaces

引用

2010 1st ieee international conference on progress in informatics and computing, PIC 2010

作者： Han, Xuli Ren, Yeqing Liu, Xinru School of Mathematical Science and Computing Technology Central South University Changsha 410083 China

ISBN: (纸本)9781424467860

In order to adjust effectively the shape of the tensor product Bézier surfaces and to connect conveniently the surface patches, generalized tensor product Bézier surfaces with local directional control derivative vectors are given in this paper. The given surface expression is a modification based on a kind of higher approximate polynomials of a function. Taking the tensor Bézier surfaces as a special case, the given surface is an effective modification for the Bézier surface of higher degree by adjusting the directional target derivative vectors. A method for connecting surface patches on rectangle domain is presented;it can be used to realize C1 continuous connection of two surface patches without any constraint conditions for the control grid points. ©2010 ieee.

关键词： Tensors

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Power-aware I/O-intensive and CPU-intensive applications hybrid deployment within virtualization environments

Power-aware I/O-intensive and CPU-intensive applications hyb...

引用

ieee international conference on progress in informatics and computing (PIC)

作者： Liu, Zhiwu Ma, Ruhui Zhou, Fanfu Yang, Yindong Qi, Zhengwei Guan, Haibing School of Electronic and Electric Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Electronic and Electric Engineering Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424467860

As more and more software applications are migrating from local desktops to remote data centers, efficient data centers management is becoming increasingly important. The management of data centers has been facing a key challenge how to trade-off power consumption and Quality of Service (QoS) of applications. To deal with this challenge, there has been a lot of ongoing efforts on power-aware and QoS-aware application deployment. Based on these works, we present I/O-Intensive and CPU-Intensive applications hybrid deployment to optimize resource utilization within virtualization environments. In this work, we investigate the resources allocation between virtual machines where I/O and CPU-Intensive applications reside, to achieve power-aware applications hybrid deployment. To demonstrate the problem of I/O and CPU resource in virtualization environment, we use Xen as the Virtual Machine Monitor to do experiments. Under different resource allocation configurations, we evaluate power efficiency up to 2 %∼12%, compared to the default deployment. We also can conclude the more CPU resource that the CPU-Intensive application in the hybrid deployment applications need to satisfy QoS, the more power efficiency improvement that hybrid deployment can bring. ©2010 ieee.

关键词： Virtualization

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A Fast 3D-AAM Method using the Estimated Depth Information

A Fast 3D-AAM Method using the Estimated Depth Information

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Myung-Ho Ju Hang-Bong Kang Dept.of Computer Eng.Catholic University of Korea Dept.of Media Eng.Catholic University of Korea

ISBN: (纸本)9781424467860

A 3D face shape derived from 2D images may be useful in many applications,such as face recognition,face synthesis and human computer *** do this,we develop a fast 3D Active Appearance Model(3D-AAM) method using depth *** training images include specific 3D face poses which are extremely different from one *** landmark's depth information of landmarks is estimated from the training image sequence by using the approximated Jacobian *** is added at the test phase to deal with the 3D pose variations of the input *** experimental results show that the proposed method can efficiently fit the face shape,including the variations of facial expressions and 3D pose variations,better than the typical AAM,and can estimate accurate 3D face shape from images.

关键词： 3D AAM Face Modeling 3D Face Shape

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An event-model for constraint-based person-centric flows

An event-model for constraint-based person-centric flows

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2010 1st ieee international conference on progress in informatics and computing, PIC 2010

作者： Unger, Tobias Eberle, Hanna Leymann, Frank Wagner, Sebastian University of Stuttgart Universitaetsstr. 38 70569 Stuttgart Germany

ISBN: (纸本)9781424467860

Over the past years research in pervasive computing has demonstrated the potential of context-aware and proactive technologies for improving human work performance and to ensure that people act compliant according to predefined regulations. Human work can be structured into tasks, whereas a task is representing an atomic human work entity. A person-centric flow is an IT-representation of the flow of activities an individual person is performing. For example the daily care schedule of a nurse can be understood as the person-centric flow of the nurse. To be able to effectively guide a person in a complex and highly dynamic work environment and to react on possible deviations from the flow the supporting system is required to be aware of the state of the person-centric-flow. Beside guidance the flow information can be utilized to check compliance of a persons flow with prescribed sequences of operation. In this paper we propose a constraint-based workflow model for person-centric flows and an event-model which can be used to inform applications about the state of these flows. ©2010 ieee.

关键词： Ubiquitous computing

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Optimization of grouping batch and sorting order for smelting charges in refined copper strip producing by AIA

Optimization of grouping batch and sorting order for smeltin...

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ieee international conference on progress in informatics and computing (PIC)

作者： Chang, Chunguang Zhu, Yunlong Hu, Kunyuan Zhang, Yi Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China School of Management Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9781424467860

Grouping batch and sorting order (GBSO) for smelting charges is a key cycle in refined copper strip producing. To improve its scientific degree, optimization problem of GBSO for smelting charges in refined copper strip producing by artificial immune algorithm (AIA) is studied. The multi-objective optimization model for GBSO of smelting charges is established with the objectives which includes minimizing fluctuation in ingredient ratios between the nearest neighbor charges, meeting order priority requirement as much as possible, insuring order due date as much as possible, maximizing number of same brand charges and sorting order in continuous way for same order as much as possible. Some constraints are adequately considered, which includes order due data of each charge, sorting order limit for the charge with high quality requirement, sorting order limit for the charge with the high ratio of virtual orders, sorting order limit for the charge including multi-order, sorting order continuously for same brand charges, ingredient ratio limit for the charge which is sorted order as the first charge, ingredient ratio difference limit between each two nearest neighbor charges. To solve the model in easy way, some constraints are transformed into the objective function, and AIA is designed. The detail steps of AIA is designed in detail including antibody representation and encoding, affinity calculation, clone selection, antibody population updating. To validate the validity of above model and AIA, select practical typical GBSO problem of smelting charges as application instance. Application result shows that, the obtained optimal solution is better than that by heuristic method both on diversity and optimization degree. AIA is suitable for solving complex problem with requirement on solution diversity. ©2010 ieee.

关键词： Multiobjective optimization

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Detection of coordinated attacks using alert correlation model

Detection of coordinated attacks using alert correlation mod...

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2010 1st ieee international conference on progress in informatics and computing, PIC 2010

作者： Alserhani, Faeiz Akhlaq, Monis Awan, Irfan U. Cullen, Andrea J. Informatics Research Institute University of Bradford BD7 1DP United Kingdom

ISBN: (纸本)9781424467860

Alerts correlation techniques have been widely used to provide intelligent and stateful detection methodologies. This is to understand attack steps and predict the expected sequence of events. However, most of the proposed systems are based on rule -based mechanisms which are tedious and error prone. Other methods are based on statistical modeling;these are unable to identify causal relationships between the events. In this paper, an improved "requires/provides" model is presented which established a cooperation between statistical and knowledge-based model, to achieve higher detection rate with the minimal false positives. A knowledge-based model with vulnerability and extensional conditions provide manageable and meaningful attack graphs. The proposed model has been implemented in real-time and has successfully generated security events on establishing a correlation between attack signatures. The system has been evaluated to detect one of the most serious multi-stage attacks in cyber crime - Botnet. Zeus Botnet is analyzed within the realm of simulated malicious activities normally used by cyber criminals. ©2010 ieee.

关键词： Botnet

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Green task scheduling algorithms with energy reduction on heterogeneous computers

Green task scheduling algorithms with energy reduction on he...

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2010 1st ieee international conference on progress in informatics and computing, PIC 2010

作者： Zhang, Luna Mingyi Li, Keqin Zhang, Yan-Qing Center for Advanced Studies in Science Math and Technology at Wheeler High School 375 Holt Road Marietta GA 30068 United States Department of Computer Science State University of New York at New Paltz Faculty Office Building N-3 1 Hawk Drive New Paltz NY 12561 United States Department of Computer Science Georgia State University P.O. Box 3994 Atlanta GA 30302-3994 United States

ISBN: (纸本)9781424467860

Two traditional heuristic task scheduling algorithms (STFCMEF-MS algorithm and LTFCMEF-MS algorithm) are developed to solve a multi-task scheduling problem on multiple computers to reduce energy consumption and finish required tasks before a deadline. Two new green task scheduling algorithms (STFCMEF-SA algorithm and LTFCMEF-SA algorithm) are proposed to solve the same problem. Since the energy is directly proportional to the number of instructions for each computer at a particular speed, the energy slope (a newly defined technical term) is a constant. Simulation results indicate that STFCMEF-SA algorithm and LTFCMEF-SA algorithm are more effective than STFCMEF-MS algorithm and LTFCMEF-MS algorithm in lowering energy consumption. Future work includes more theoretical analysis and more novel algorithms. ©2010 ieee.

关键词： Green computing

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Refined learning of hidden Markov models with a modified Baum-Welch algorithm and informative components

Refined learning of hidden Markov models with a modified Bau...

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2010 1st ieee international conference on progress in informatics and computing, PIC 2010

作者： Chen, Mei Madden, Michael G. Liu, Yan School of Engineering and Informatics National University of Ireland Galway Galway Ireland School of Software Engineering Tongji University Shanghai China

ISBN: (纸本)9781424467860

Methods for refined learning of hidden Markov models (HMMs) have been studied for decades, taking either structural or parametric perspectives. This paper discusses using informative components of state parameters to refine the training of HMMs. While the purpose of HMM learning is to decompose a high-dimensional observation space into latent states, we may still end up with high dimensional state models. A problem with such high dimensional state models is that if they are learned with limited amounts of training data, this will bias the likelihood during training, particularly when there are outliers in the observation sequence. We propose a modified Baum-Welch algorithm to estimate the HMM parameters over informative components selected with nearly sufficient statistics, using relative entropy tolerance. Our method produces a modified likelihood estimation in reduced dimensions, which decreases the computation complexity and preserves near-optimality of the HMM that is constructed. Two variations on the algorithm are discussed, one that deals with general state model and another that considers a special Gaussian case. The approach is evaluated with a problem of using pen tip trajectory for handwriting character verification and recognition. Two data sets are studied, one with low dimensionality and the other with high dimensionality. A comparison is performed of the results of using HMMs trained without and with informative state components. For both data sets, we found that our approach yields improvements in performance. The error rate varies with relative entropy change is also evaluated. ©2010 ieee.

关键词： Hidden Markov models

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Logical Formalization and Reasoning for Computerized Interactive Storytelling

Logical Formalization and Reasoning for Computerized Interac...

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The 2010 ieee international conference on progress in informatics and computing

作者： Klaus P.Jantke Children's Media Dept.Fraunhofer IDMT Erfurt Germany

Digital games and technology enhanced learning overlap in the field of game-based *** this field,interactive digital storytelling is deemed important due to the known impact of stories on human emotion and *** appears somehow *** is investigated the role of computational logics for digital storytelling arriving at the insight that classical first order predicate calculus yields useful results.

关键词： digital storytelling logical reasoning patterns

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A Generic Shape Decomposition

A Generic Shape Decomposition

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The 2010 ieee international conference on progress in informatics and computing

作者： Aicha Baya Goumeidane Mohammed Khamadja Hugues Benoit-Cattin Christophe Odet NDT Research Center.Algiers ALGERIA SPLab Contantine University ALGERIA Creatis INSA lyon FRANCE

This paper presents a new technique for decomposing a binary shape which provides a hierarchical description of the *** to the decomposition,a hierarchical reconstruction procedure enables to recover the general aspect of the object as well as its exact original shape.A mathematical modeling of the procedure allows us to demonstrate that the reconstruction is *** results show the efficiency of this technique and underline its stability against noise document.

关键词： object decomposition hierarchical representation mathematical modelization

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