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Mining Trajectory Databases via a Suite of Distance Operators

Mining Trajectory Databases via a Suite of Distance Operator...

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International Conference on Data Engineering Workshops

作者： Nikos Pelekis Ioannis Kopanakis Irene Ntoutsi Gerasimos Marketos Yannis Theodoridis Department of Informatics University of Piraeus Greece Technological Educational Institute of Crete Greece Research Academic Computer Technology Institute Greece

With the rapid progress of mobile devices and positioning technologies, Trajectory databases (TD) have been in the core of database research during the last decade. Analysis and knowledge discovery in TD is an emerging field which has recently gained great interest. Extracting knowledge from TD using certain types of mining techniques, such as clustering and classification, impose that there is a mean to quantify the distance between two trajectories. Having as a main objective the support of effective similarity query processing, existing approaches utilize generic distance metrics that ignore the peculiarities of the trajectories as complex spatio-temporal data types. In this paper, we define a novel set of trajectory distance operators based on primitive (space and time) as well as derived parameters of trajectories (speed and direction). Aiming at providing a powerful toolkit for analysts who require producing distance matrices with different semantics as input to mining tasks, we develop algorithms for each of the proposed operators. The efficiency of our approach is evaluated through an experimental study on classification and clustering tasks using synthetic and real trajectory datasets.

关键词： Databases Educational technology Spatiotemporal phenomena Query processing Humans Data analysis Sampling methods Pattern analysis informatics Mobile computing

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Business Models for Broadband Municipal Optical Networks: A Proposed Model for the Greek Case

Business Models for Broadband Municipal Optical Networks: A ...

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IEEE Symposium on computers and Communications (ISCC)

作者： Christos Bouras Apostolos Gkamas John Papagiannopoulos George Theophilopoulos Thrasyvoulos Tsiatsos Computer Engineering and Informatics Dept University of Patras Greece Research Academic Computer Technology Institute Greece Department of Information and Communication Systems Engineering University of Aegean Greece Department of Informatics Aristotle University of Thessaloniki Greece

This paper proposes a business model for the successful operation of the currently developing broadband metropolitan area networks in Greece. Having recorded and examined relevant international practices, we describe in detail the way that these networks should be managed, operated, maintained and expanded. Taking into consideration that these infrastructures will alter the broadband map of Greece widely, that Greece currently has one of the lowest broadband penetration percentages in Europe and that the proper exploitation of the networks to be deployed could boost the demand for broadband connections and applications, the proposition of the business model appears to be of vital importance. We present the proposed business model in detail including information regarding network management and network expansion of the broadband metropolitan networks and viability issues regarding the authority which will manage the broadband metropolitan networks.

关键词： Optical fiber networks Telecommunication services Metropolitan area networks Business communication computer networks Optical computing Cities and towns Internet Costs informatics

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Pattern recognition of EEG signals during motor imagery ~based on directed information analysis~

Pattern recognition of EEG signals during motor imagery ~bas...

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SICE Annual Conference

作者： Miyo Taniguchi Makoto Mihara Tomonari Yamagutchi Junpei Kaminaka Katsuhiro Inoue Gert Pfurtscheller Department of Systems Innovation and Informatics Factory of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Department of Medical Informatics Institute of Biomedical Engineering Graz University of Technology Graz Austria

ISBN: (纸本)4907764278

Electroencephalograph (EEG) recordings during the right and the left hand motor imagery can be used to move a cursor to a target on a computer screen. Such an EEG-based brain-computer interface (BCI) can provide a new communication channel to replace an impaired motor function. It can be used by e.g., handicap users with amyotrophic lateral sclerosis (ALS). The conventional method purposes the recognition of the right hand and the left hand motor imagery. In this sturdy, feature extraction based on Directed Information analysis is introduced to discriminate the EEG signals recorded during the right hand, the left hand and the right foot motor imagery. The effectiveness of our method is confirmed through the experimental studies.

关键词： Pattern recognition Electroencephalography Information analysis Foot Feedback Brain computer interfaces Monitoring Biomedical informatics Biomedical engineering Image recognition

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Agent-based Distributed Group Key Establishment in Wireless Sensor Networks

Agent-based Distributed Group Key Establishment in Wireless ...

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IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)

作者： Ioannis Chatzigiannakis Elisavet Konstantinou Vasiliki Liagkou Paul Spirakis Department of Computer Engineering and Informatics University of Patras Patras Greece Computer Technology Institute Patras Greece Department of Information and Communication Systems Engineering University of Aegean Samos Greece

Wireless sensor networks are comprised of a vast number of ultra-small autonomous computing, communication and sensing devices, with restricted energy and computing capabilities, that co-operate to accomplish a large sensing task. Such networks can be very useful in practice, e.g. in the local monitoring of ambient conditions and reporting them to a control center. In this paper we propose a distributed group key establishment protocol that uses mobile agents (software) and is particularly suitable for energy constrained, dynamically evolving ad-hoc networks. Our approach totally avoids the construction and the maintenance of a distributed structure that reflects the topology of the network. Moreover, it trades-off complex message exchanges by performing some amount of additional local computations in order to be applicable at dense and dynamic sensor networks. The extra computations are simple for the devices to implement and are evenly distributed across the participants of the network leading to good energy balance. We evaluate the performance of our protocol in a simulated environment and compare our results with existing group key establishment protocols. The security of the protocol is based on the Diffie-Hellman problem and we used in our experiments its elliptic curve analog. Our findings basically indicate the feasibility of implementing our protocol in real sensor network devices and highlight the advantages and disadvantages of each approach given the available technology and the corresponding efficiency (energy, time) criteria.

关键词： Wireless sensor networks Protocols computer networks Condition monitoring Communication system control Mobile agents Ad hoc networks Network topology Distributed computing Computational modeling

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Linking protein mass with function via organismal massome networks

Linking protein mass with function via organismal massome ne...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Alterovitz, Gil Lyashenko, Eugenia Xiang, Michael Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Children's Hospital Informatics Program at Health Sciences and Technology Harvard Medical School Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States Department of Biomedical Informatics Columbia University New York NY United States

ISBN: (纸本)1424415098

With the human genome sequenced, attention has been shifting to proteins and their function. Several technologies including mass spectrometry and gel electrophoresis have traditionally been used to study proteins. These technologies rely on proteins' masses to characterize and/or identify them. Once identified, the discovered proteins' are often analyzed for their functional relevance. In this paper, we present an alternative approach to studying protein function directly, based on protein mass. By analyzing proteins with similar mass ranges (bins), we discovered that certain biological functions are associated with specific mass bins more frequently than would be expected by chance. Biological functional classes found in this manner could be seen across the three examined organisms: human, worm and fly. We found no sequence-based homology across significant mass-function proteins in the three different organisms. This investigation leads to useful property that the mass-based biological functional classes are preserved across the organisms. Thus, this paper describes a potential constraint for evolution of similar function based on mass constraints. Finally, this work yields a roadmap for experimental design for functional exploration of proteomes in mass-based technologies such as gel electrophoresis and mass spectrometry. ©2007 IEEE.

关键词： Proteins

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Value Function Approximation on Non-Linear Manifolds for Robot Motor Control

Value Function Approximation on Non-Linear Manifolds for Rob...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Masashi Sugiyama Hirotaka Hachiya Christopher Towell Sethu Vijayakumar School of Informatics University of Edinburgh Edinburgh UK Department of Computer Science Tokyo Institute of Technology Meguro Tokyo Japan

The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular and useful choice as a basis function. However, it does not allow for discontinuity which typically arises in real-world reinforcement learning tasks. In this paper, we propose a new basis function based on geodesic Gaussian kernels, which exploits the non-linear manifold structure induced by the Markov decision processes. The usefulness of the proposed method is successfully demonstrated in a simulated robot arm control and Khepera robot navigation.

关键词： Function approximation Motor drives Kernel State-space methods Robotics and automation Least squares approximation Learning Orbital robotics Robot control Navigation

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Exploiting virtual objects' attributes and avatar's behavior in DVEs partitioning

Exploiting virtual objects' attributes and avatar's behavior...

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Christos Bouras Eri Giannaka Thrasyvoulos Tsiatsos Computer Engineering and Informatics Department University of Patras Patras Greece University of Patras Patras GR Research Academic Computer Technology Institute University of Patras Patras Greece Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece

Partitioning constitutes one of the most critical challenges a distributed virtual environment needs to handle and is related to the efficient assignment of the existing entities of the virtual world to the available resources of the system. The efficient partitioning arises from the need of high consistency maintenance among participating users' view, as virtual reality applications are characterized by the high degree of realism they aim to achieve. To the direction of partitioning algorithms, a lot of work has been done, which has been more intense due to the evolution of network technologies and the familiarization of users with virtual reality systems. This paper presents a partitioning approach, which is based on the degree of interaction of each virtual object and the behavior of the participating users, in terms of moving trends, which is usually directed by the actions they can perform on the surrounding objects. In particular, the partitioning takes place when the virtual world contains only objects, in the sense that no avatars are yet connected and objects' attributes are handled as indicators for avatars' future behavior in the system. This prediction of avatars' behavior based on objects' attributes defines the initial partitioning of the virtual space.

关键词： Virtual environment Avatars Partitioning algorithms Virtual reality Network servers Distributed computing informatics Large-scale systems Negative feedback Costs

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Rule interchange on the Web

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3rd International Summer School on Reasoning Web 2007

作者： Boley, Harold Kifer, Michael PǍtrânjan, Paula-Lavinia Polleres, Axel University of New Brunswick Faculty of Computer Science Institute for Information Technology - E-business 46 Dineen Drive Fredericton Canada State University of New York at Stony Brook Department of Computer Science Stony Brook NY 11794-4400 United States University of Munich Institute for Informatics Oettingenstr. 67 D-80538 München Germany Digital Enterprise Research Institute National University of Ireland Galway Ireland

ISBN: (纸本)9783540746133

Rules play an increasingly important role in a variety of Semantic Web applications as well as in traditional IT systems. As a universal medium for publishing information, the Web is envisioned to become the place for publishing, distributing, and exchanging rule-based knowledge. Realizing the importance and the promise of this vision, W3C has created the Rule Interchange Format Working Group (RIF WG) and chartered it to develop an interchange format for rules in alignment with the existing standards in the Semantic Web architecture stack. However, creating a generally accepted interchange format is by no means a trivial task. First, there are different understandings of what a "rule" is. Researchers and practitioners distinguish between deduction rules, normative rules, production rules, reactive rules, etc. Second, even within the same category of rules, systems use different (often incompatible) semantics and syntaxes. Third, existing Semantic Web standards, such as RDF and OWL, show incompatibilities with many kinds of rule languages at a conceptual level. This article discusses the role that different kinds of rule languages and systems play on the Web, illustrates the problems and opportunities in exchanging rules through a standardized format, and provides a snapshot of the current work of the W3C RIF WG. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Semantic Web

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The Time Course of Human Inductive Strength Judgment: An ERP Study

The Time Course of Human Inductive Strength Judgment: An ERP...

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Web Intelligence and Intelligent Agent technology Workshops (WI-IAT)

作者： Peipeng Liang Ning Zhong Shengfu Lu Yiyu Yao Jiming Liu International WIC Institute Beijing University of Technology China Department of Life Science and Informatics Maebashi Institute of Technology Japan Department of Computer Science University of Regina Canada Department of Computer Science Hong Kong Baptist University Hong Kong

The temporal characteristics of human inductive strength judgment process have not been previously investigated, although some preliminary spatial localization results have been reported. In the present study, some Chinese verbal inductive reasoning tasks are used in ERP (event related potentials) experiments to explore the time course of inductive strength judgment. The experimental results confirm our expectation. Inductive strength judgment after the presentation of a conclusion mainly contains three stages: visual encoding, semantic information integration, and strength evaluation. It can be tentatively concluded that visual encoding may be observed at the frontal P200 and the posterior N200, and the frontal LNC and the posterior LPC may reflect semantic information integration, and the slow waves after about 650ms may relate to strength evaluation process.

关键词： Humans Enterprise resource planning Liver Electrodes Encoding Linear predictive coding Psychology Scalp Analysis of variance Intelligent agent

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Introduction to Mini-track: Advanced data management tools for biomedical informatics

Introduction to Mini-track: Advanced data management tools f...

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40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07

作者： Ali, Hesham H. Sherman, Simon Department of Computer Science College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 United States Eppley Cancer Institute Nebraska Informatics Center for Life Sciences University of Nebraska Medical Center Omaha NE 68198 United States

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