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2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010

作者： Lämsä, V. Raiko, T. Aalto University School of Science and Technology Dep. of Applied Mechanics P.O. Box 14300 00076 Aalto Finland Aalto University School of Science and Technology Dep. of Information and Computer Science P.O. Box 15400 00076 Aalto Finland

ISBN: (纸本)9781424478774

In vibration-based structural health monitoring damage in structure is tried to detect from damage-sensitive features. Because neither prior information nor data about expected damage are normally available, damage detection problem must be solved by using a novelty detection approach. Features, which are sensitive to damage, are often sensitive to environmental and operational variations. Therefore elimination of these variations is essential for reliable damage detection. At present many of the damage detection methods are linear, though it has been shown that many of the vibration changes in structures are bilinear or nonlinear. This paper proposes to use nonlinear factor analysis to detect damage via elimination of external effects fromdamage features. The effectiveness of the proposed method is demonstrated by analyzing the experimental Z24 Bridge data with a comparison to a linear method. It is shown that elimination of adverse effects and damage detection are feasible. ©2010 IEEE.

关键词： Damage detection

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On the performance modeling of opportunistic routing

On the performance modeling of opportunistic routing

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2nd International Workshop on Mobile Opportunistic Networking, MobiOpp 2010

作者： Cerdà-Alabern, Llorenç Pla, Vicent Darehshoorzadeh, Amir Univ. Politècnica de Catalunya Computer Architecture Dep. Jordi Girona 1-3 E-08034 Barcelona Spain Univ. Politècnica de Valencia Communications Dep. ETSIT Camino de Vera s/n E-46022 Valencia Spain

ISBN: (纸本)9781605589251

In this paper we propose a discrete time Markov model to assess the improvement that may be achieved using opportunistic routing. We show that our model can be used to compute the probability distribution and moments of the number of transmissions needed to send a packet from the source to the destination in a variety of scenarios. We use our model to compute some opportunistic routing performance measures in a network with a shadowing radio propagation model with different network topologies, and varying the maximum number of candidates used by the opportunistic routing algorithm. Our model can be easily extended to evaluate other aspects of opportunistic routing not covered in this paper. Therefore, we believe that our model yields a simple, yet flexible and powerful tool to evaluate opportunistic routing protocols. © 2010 ACM.

关键词： Routing protocols

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Using an XML schema to validate a formal hardware compiler

Using an XML schema to validate a formal hardware compiler

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： F. Dossis Michael Dep. of Informatics & Computer Technology TEI of West Macedonia

The complexity of current mixed software/hardware custom digital systems, has led to the requirement for automated high-level synthesis of the system from abstract, executable specifications, in order to drastically reduce the long development cycles. This paper introduces an approach to validate the hardware compilation process of a formal, high-level synthesizer, using provably-correct logic programming and XML schema techniques via an intelligent inference engine. The XML schema definition model is automatically generated from a formal intermediate format which forms the basis of connection and data exchange between the front-end and the back-end phases of the hardware compiler. The proposed methodology and the prototype tools are evaluated with results from real life applications such as graphics applications and an MPEG video compression engine.

关键词： Hardware XML Syntactics Engines Semantics Program processors Logic programming

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Using fuzzy modeling to describe power system QV curve

Using fuzzy modeling to describe power system QV curve

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作者： Wang, Shu-Chen Wu, Chi-Jui Department of Computer and Communication Engineering Taipei College of Maritime Technology Taipei Taiwan Dep. of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9789604741748

This paper presents the fuzzy modeling approach to the description QV curve of power system for analysis of voltage stability. Voltage instability of power system comes from increasing load rapidly, and causes bus voltage to drop. When voltage is out of control and it can be voltage collapse. The QV curve can identify voltage stability limit, and it determine robustness of power system. The method of fuzzy modeling has been proven to be well-suited for modeling nonlinear industrial processes described by input-output data. In view of the nonlinear characteristic of the QV curve, the method of fuzzy modeling is employed for representing the curve. The fuzzy system model is basically a collection of fuzzy IF-THEN rules that are combined via fuzzy reasoning for describing the features of a system under study. Based on the Sugeno-type fuzzy model, various models with different numbers of modeling rules are used to describing the QV curve. It is found that such fuzzy model offers both quantitative and qualitative descriptions for the QV curve.

关键词： Electric power system stability

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Design of modal insensitivity for generator via Eigenstructure Assignment

Design of modal insensitivity for generator via Eigenstructu...

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ISBN: (纸本)9789604742332

This paper presents the design of modal insensitivity for the synchronous generator in a power system using Eigenstructure Assignment. In the proposed design procedure, modal insensitivity of generator is achieved by assigning system eigenstructure and only algebraic computations are involved. Model insensitivity means that the concerned system mode shape is insensitive to small variations in the system. From the simulation results of the study in a single-machine-infinite-bus system are certified. It is found that the system damping has been greatly improved. The proposed design has improved on the sensitivity.

关键词： Synchronous generators

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Analysis of extensive power factor by FPGA under power quality disturbance

Analysis of extensive power factor by FPGA under power quali...

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ISBN: (纸本)9789604741748

This paper used six formulas for power factor measurement, and they will be different according to the characteristics of load. The power quality is more and more serious, because a lot of information technology equipments and power electric converters were used in recent years. Harmonic and load unbalance can affect the measurement result of power factor of utility. The Fast Fourier Transform (FFT) is used to analyze the six formula of power factor. The simulation system was modeled in Hardware Description Language (VHDL) and some novel IP (intellectual property) cores, such as CORDIC core and FFT core by the way of Bottom-Up. The technology of semiconductor was more and more maturely. Design of SOC (System On a Chip) is a trend to achieve the strong and small volume in the future. The measurement data were employed to calculate active, reactive and apparent power. The average error rate of our design is about 0.05%.

关键词： Field programmable gate arrays (FPGA)

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SDVMR - Managing heterogeneity in space and time on multicore SoCs

SDVMR - Managing heterogeneity in space and time on multicor...

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2010 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2010

作者： Hofmann, Andreas Waldschmidt, Klaus Haase, Jan J. W. Goethe-University Technical Computer Sc. Dep. Box 11 19 32 60054 Frankfurt Germany Vienna University of Technology Institute of Computer Technology Gußhausstr. 27-29/384 1040 Vienna Austria

ISBN: (纸本)9781424458875

The dynamic reconfiguration of recent FPGAs offers an important step to adaptive behavior of Systems-on-Chip (SoCs). These dynamically reconfigurable systems add another degree of freedom to the design space. When a processing element gets reconfigured using one with a different architecture, heterogeneity spans the temporal dimension, too. Now, the question arises how could this type ofheterogeneity be managed at run time. This paper analyzes the challenges of such an adaptive SoC. We show that many of the requirements for an FPGA-based realization are met by the SDVM, the Scalable Dataflow-driven Virtual Machine which has been successfully implemented and tested on a cluster of workstations. Focusing on run time reconfiguration, the SDVM has evolved to a virtualization layer for multicore systems based on FPGAs, now called SDVMR. This virtualization layer allows for a transparent run time reconfiguration of the underlying hardware reducing the complexity of the system's temporal heterogeneity as seen by the application. © 2010 IEEE.

关键词： System-on-chip

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Novelty detection by nonlinear factor analysis for structural health monitoring

Novelty detection by nonlinear factor analysis for structura...

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IEEE Workshop on Machine Learning for Signal Processing

作者： V. Lämsä T. Raiko Dep. of Applied Mechanics School of Science and Technology Aalto Finland Dep. of Information and Computer Science School of Science and Technology Aalto Finland

In vibration-based structural health monitoring damage in structure is tried to detect from damage-sensitive features. Because neither prior information nor data about expected damage are normally available, damage detection problem must be solved by using a novelty detection approach. Features, which are sensitive to damage, are often sensitive to environmental and operational variations. Therefore elimination of these variations is essential for reliable damage detection. At present many of the damage detection methods are linear, though it has been shown that many of the vibration changes in structures are bilinear or nonlinear. This paper proposes to use nonlinear factor analysis to detect damage via elimination of external effects from damage features. The effectiveness of the proposed method is demonstrated by analyzing the experimental Z24 Bridge data with a comparison to a linear method. It is shown that elimination of adverse effects and damage detection are feasible.

关键词： Bridges Monitoring Temperature measurement Feature extraction Mathematical model Data models Training data

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Multiple criteria programming models for VIP E-Mail behavior analysis

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Web Intelligence and Agent Systems 2010年第1期8卷 69-78页

作者： Zhang, Peng Zhu, Xingquan Zhang, Zhiwang Shi, Yong Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences Beijing 100190 China Dep. of Computer Science and Engineering Florida Atlantic University Boca Raton FL 33431 United States College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68132 United States

Excessive lose of customer account is becoming a major headache for VIP E-Mail hosting companies. Analysis of what kind of customer is more prone to lose and finding the appropriate measures to sustain those customers has become urgent needs. Recently, classification models based on mathematical programming have been widely used in business intelligence. The purpose of this paper is to propose several multiple criteria programming methods for classification and apply these methods to VIP E-Mail behavior classification. We first introduce a model for a generalized multiple criteria programming based classification method, specifically four particular forms, and then we use a cross-validation method to test the stability and accuracy of multiple criteria programming methods on VIP E-Mail accounts. Finally, we compare our models with Support Vector Machine (SVM). The results show that the classification models based on mathematical programming are satisfactorily accurate and stable on a VIP E-Mail dataset. Therefore, it can be concluded that applying the proposed method on VIP E-Mail behavior analysis can provide stable and credible results. © 2010 - IOS Press and the authors. All rights reserved.

关键词： Classification (of information)

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Deep supervised t-distributed embedding

Deep supervised t-distributed embedding

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27th International Conference on Machine Learning, ICML 2010

作者： Min, Renqiang Van Der Maaten, Laurens Yuan, Zineng Bonner, Anthony Zhang, Zhaolei Dep. of Computer Science University of Toronto 10 King's College Rd. Toronto ON M5S 3G4 Canada Dep. of Computer Science and Eng. UC San Diego 9500 Gilman Drive San Diego CA 92093 United States Faculty of EEMCS Delft University of Technology Mekelweg 4 2628 CN Delft Netherlands Dep. of Molecular Genetics University of Toronto 160 College St. Toronto ON M5S 3E1 Canada Dep. of Med. Research University of Toronto 160 College St. Toronto ON M5S 3E1 Canada

ISBN: (纸本)9781605589077

Deep learning has been successfully applied to perform non-linear embedding. In this par per, we present supervised embedding techniques that use a deep network to collapse classes. The network is pre-trained using a stack of RBMs, and finetuned using approaches that try to collapse classes. The finetuning is inspired by ideas from NCA, but it uses a Student t-distribution to model the similarities of data points belonging to the same class in the embedding. We investigate two types of objective functions: deep t-distributed MCML (dt-MCML) and deep t-distributed NCA (dt-NCA). Our experiments on two handwritten digit data sets reveal the strong performance of dt-MCML in supervised parametric data visualization, whereas dt-NCA outperforms alternative techniques when embeddings with more than two or three dimensions are constructed, e.g., to obtain good classification performances. Overall, our results demonstrate the advantage of using a deep architecture and a heavy-tailed t-distribution for measuring pairwise similarities in supervised embedding. Copyright 2010 by the author(s)/owner(s).

关键词： Data visualization

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