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Investigation of changes in modal characteristics before and after damage of a railway bridge: a case study

IES Journal Part A: Civil and Structural Engineering 2015年第2期8卷 131-144页

作者： Saaed, Tarek Edrees Nikolakopoulos, George Grip, Niklas Jonasson, Jan-Erik Department of Civil Environmental and Natural Resources Engineering Division of Structural and Construction Engineering Luleå University of Technology Luleå Sweden Department of Civil Engineering College of Engineering University of Mosul Iraq Department of Computer Science Electrical and Space Engineering Division of Systems and Interaction Luleå University of Technology Luleå Sweden Department of Engineering Sciences and Mathematics Division of Mathematical Sciences Luleå University of Technology Luleå Sweden

The linear, time-invariant transfer function (Formula presented.) has been utilised for the construction of frequency response function , based on the ambient vibration measurements. The results presented here indicated the possibility to identify and localise damages in steel railway bridges from the variations in the modal characteristics of the structure. The comparison between the modal characteristics for the healthy and collapsed bridge confirmed that damage had been existed. The abnormal percentage of change in modal damping, between the healthy and any other condition for a structure, can be regarded as a serious indicator for early stages of damage, while the high percentage of change in modal damping can clearly indicate the existence of damage in that structure. The average ratio of change in the damping ratio from the healthy to the collapsed bridge was about 206% and this ratio could be regarded as an index for the existence of a serious damage in steel bridges, which needs further evaluation in other test cases. © 2015, © 2015 The Institution of Engineers, Singapore.

关键词： Damage detection

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Intraday stock forecasting 14

Intraday stock forecasting

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15th International Conference on computer Systems and Technologies, CompSysTech 2014

作者： Louwerse, Victor Rothkrantz, Léon Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Multimodal Communication Intelligent Interaction Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands

ISBN: (纸本)9781450327534

The objective of this study is the development of a forecasting system for intraday stock price movement. Here, intraday refers to stock movement within a single trading day. To identify trends and forecasting market movements, artificial neural networks (ANN) are employed by the forecasting system. In a simulation study we compared the performance of our system with a buy & hold and naive strategy. The model has been tested in some experiments on real data and the results are reported in this paper. Copyright © 2014 ACM.

关键词： Neural networks

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Efficient large-scale bicluster editing

Efficient large-scale bicluster editing

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International Conference on German Conference on Bioinformatics, GCB 2014

作者： Sun, Peng Baumbach, Jan Guo, Jiong Max Planck Institute for Informatics Campus E1 4 Saarbrücken66123 Germany Cluster of Excellence for Multimodel Computing and Interaction Campus E1 7 Saarland University Saarbrücken66123 Germany Institute for Mathematics and Computer Science University of Southern Denmark Campusvej 55 Odense M5230 Denmark

ISBN: (纸本)9783885796299

The explosion of the biological data has dramatically reformed today's biological research. The need to integrate and analyze high-dimensional biological data on a large scale is driving the development of novel bioinformatics approaches. Biclustering, also known as simultaneous clustering or co-clustering, has been successfully utilized to discover local patterns in gene expression data and similar biomedical data types. Here, we contribute a new approach: Bi-Force. It is based on the weighted bicluster editing model, to perform biclustering on arbitrary sets of biological entities, given any kind of similarity function. We first evaluated the power of Bi-Force to solve dedicated bicluster editing problems by comparing Bi-Force with two existing algorithms in the BiCluE software package. We then followed a biclustering evaluation protocol from a recent review paper from Eren et al. and compared Bi-Force against eight existing tools: FABIA, QUBIC, Cheng and Church, Plaid, Bimax, Spectral, xMOTIFS and ISA. To this end, a suite of synthetic data sets as well as nine large gene expression data sets from Gene Expression Omnibus were analyzed. All resulting biclusters were subsequently investigated by Gene Ontology enrichment analysis to evaluate their biological relevance. The distinct theoretical foundation of Bi-Force (bicluster editing) is more powerful than strict biclustering. We thus outperformed existing tools with Bi-Force at least when following the evaluation protocols from Eren et al. Bi-Force is implemented in Java and integrated into the open source software package of BiCluE. The software as well as all used data sets are publicly available at http://***.

关键词： Software packages

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Picking Favorites: The Influence of Robot Eye-Gaze on interactions with Multiple Users

Picking Favorites: The Influence of Robot Eye-Gaze on Intera...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Daphne E. Karreman Gilberto U. Sepulveda Bradford Elisabeth M.A.G. van Dijk Manja Lohse Vanessa Evers Human Media Interaction group Department Electrical Engineering Mathematics and Computer Science University of Twente PO Box 217 7500 AE Enschede The Netherlands

ISBN: (纸本)9781467363563

We evaluated the effects of robot gaze behavior on interactions with multiple users in a museum-like setting. We posit that a robot needs to divide its attention between multiple users and may be able to use its gaze to 'point' at objects of interest. A 2 (person-oriented [only looking at participants] vs. object-oriented [also looking at artworks] gaze) × 2 ('favored' [looked at more] vs. 'not favored' [looked at less] by the robot) mixed factorial design (N=57) study was carried out in a museum-like lab setting where a robot talked about two artworks to groups of three participants. Results indicate that 'favored' participants did indeed pay more attention to the robot and the artworks. However, surprisingly they paid more attention when the robot did not look over to the object of interest compared to when it did give this gaze cue. The findings suggest that using an object-oriented gaze as a cue for people to look at an object may not carry across readily from person-to-person to human-robot communication. People had trouble interpreting the cue and were possibly distracted by the robot's movement.

关键词： Multiple Users robot's movement possibly distracted

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Negotiating agents

Negotiating agents

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作者： Jonker, Catholijn M. Hindriks, Koen V. Wiggers, Pascal Broekens, Joost Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Man-Machine Interaction Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands

Everyone is an experienced negotiator and everyone has an opinion about his or her negotiation skills. However, even professional negotiators can still improve their skills considerably. "Most people are ineffective negotiators . Fewer than 4 percent of managers reach win-win outcomes when put to the test . Even on issues for which people were in perfect agreement, they fail to realize it 50 percent of the time" (Thompson 2005). Although many forms of negotiation exist, in this article we focus on integrative bargaining (see Walton and McKersie 1965). Negotiation is a prime example of a task for which the human mind is but partially equipped, and for which artificial intelligence (AI) can provide assistance. Among others AI can provide search techniques, computational heuristics to tackle exponential problem spaces, strategic reasoning, argumentation, learning techniques, and affective computing to handle the complications that arise in negotiations. More difficult problems that are not as easily solved by artificial intelligence techniques, however, include obtaining the common knowledge necessary to understand negotiation domains and arbitrary human conversations that take place during negotiations. We aim for synergy between human and agent in such a way that the human weaknesses are covered by the strengths of the agent and the weaknesses of the agent are covered by the strengths of the human. This implies that tasks should be divided over humans and agents in a way that respects those capabilities. On the one hand, humans are better equipped to understand the context and the emotional fluctuations in human-human interaction, they are capable of finding new relations between concepts, and they have the necessary background knowledge to interpret the domain of negotiation with respect to their preferences. On the other hand, humans can be troubled by emotions, and have difficulty handling the complexity of negotiation spaces and keeping track of the interests of

关键词： Artificial intelligence

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Visualization of processes in self-learning systems

Visualization of processes in self-learning systems

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2012 10th Annual International Conference on Privacy, Security and Trust, PST 2012

作者： Peters, Gabriele Bunte, Kerstin Strickert, Marc Biehl, Michael Villmann, Thomas Human-Computer Interaction FernUniversität in Hagen Germany CITEC-Cognitive Interaction Technology Center of Excellence Bielefeld University Germany Department of Computer Science and Mathematics University of Marburg Germany Johann Bernoulli Inst. for Mathematics and Computer Science University of Groningen Netherlands Computational Intelligence Group University of Applied Sciences Mittweida Germany

ISBN: (纸本)9781467323260

One aspect of self-organizing systems is their desired ability to be self-learning, i.e., to be able to adapt dynamically to conditions in their environment. This quality is awkward especially if it comes to applications in security or safety-sensitive areas. Here a step towards more trustful systems could be taken by providing transparency of the processes of a system. An important means of giving feedback to an operator is the visualization of the internal processes of a system. In this position paper we address the problem of visualizing dynamic processes especially in self-learning systems. We take an existing self-learning system from the field of computer vision as an example from which we derive questions of general interest such as possible options to visualize the flow of information in a dynamic learning system or the visualization of symbolic data. As a side effect the visualization of learning processes may provide a better understanding of underlying principles of learning in general, i.e, also in biological systems. That may also facilitate improved designs of future self-learning systems. © 2012 IEEE.

关键词： Visualization

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Incremental spoken dialogue systems: Tools and data

Incremental spoken dialogue systems: Tools and data

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2012 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data, SDCTD 2012

作者： Hastie, Helen Lemon, Oliver Dethlefs, Nina The Interaction Lab School of Mathematics and Computer Science Heriot-Watt University EdinburghEH14 4AS United Kingdom

Strict-turn taking models of dialogue do not accurately model human incremental processing, where users can process partial input and plan partial utterances in parallel. We discuss the current state of the art in incremental systems and propose tools and data required for further advances in the field of Incremental Spoken Dialogue Systems. © 2012 Association for Computational Linguistics

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Erratum to: Adaptive Matrices and Filters for Color Texture Classification

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Journal of Mathematical Imaging and Vision 2013年第1期48卷 202-202页

作者： Ioannis Giotis Kerstin Bunte Nicolai Petkov Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen Groningen The Netherlands CITEC Center of Excellence—Cognitive Interaction Technology Bielefeld University Bielefeld Germany

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Energy-efficient model for guaranteed area coverage in sensor networks with random deployed sensors 12

Energy-efficient model for guaranteed area coverage in senso...

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6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12

作者： Zalyubovskiy, Vyacheslav Aldyn-Ool, Tatiana Kim, Jaehyoun Choo, Hyunseung Sobolev Institute of Mathematics Russian Academy of Sciences Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Department of Computer Education Sungkyunkwan University Seoul Korea Republic of Department of Interaction Science Sungkyunkwan University Suwon Korea Republic of

ISBN: (纸本)9781450311724

One of the main tasks of a wireless sensor network is to provide a necessary level of coverage of their deployment regions. We consider wireless sensor networks where all sensors are independently and uniformly distributed in a finite plane area. We assume that events within the sensing range from some sensor are detectable and the sensor is called to cover that point. In this paper, we investigate a regular coverage model, study how the probability of coverage changes with the sensing range or number of sensors, and formulate an exact mathematical expression for the expected covered ratio. These results allow for determining related parameters (grid size, number of active sensors) for a desired level of sensing coverage. © 2012 ACM.

关键词： Energy efficiency

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A highly efficient GPU implementation for variational optic flow based on the Euler-Lagrange framework

A highly efficient GPU implementation for variational optic ...

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11th European Conference on computer Vision, ECCV 2010

作者： Gwosdek, Pascal Zimmer, Henning Grewenig, Sven Bruhn, Andrés Weickert, Joachim Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University Saarbrücken 66041 Germany Vision and Image Processing Group Cluster of Excellence Multimodal Computing and Interaction Saarland University Saarbrücken 66123 Germany

ISBN: (纸本)9783642357398

The Euler-Lagrange (EL) framework is the most widely-used strategy for solving variational optic flow methods. We present the first approach that solves the EL equations of state-of-the-art methods on sequences with pixels in near-realtime on GPUs. This performance is achieved by combining two ideas: (i) We extend the recently proposed Fast Explicit Diffusion (FED) scheme to optic flow, and additionally embed it into a coarse-to-fine strategy. (ii) We parallelise our complete algorithm on a GPU, where a careful optimisation of global memory operations and an efficient use of on-chip memory guarantee a good performance. Applying our approach to the variational 'Complementary Optic Flow' method (Zimmer et al. (2009)), we obtain highly accurate flow fields in less than a second. This currently constitutes the fastest method in the top 10 of the widely used Middlebury benchmark. © 2012 Springer-Verlag.

关键词： Graphics processing unit

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