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Automatic classification of 3D segmented CT data using data fusion and support vector machine

Automatic classification of 3D segmented CT data using data ...

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10th international Conference on Quality Control by Artificial Vision

作者： Osman, Ahmad Kaftandjian, Valerie Hassler, Ulf Fraunhofer Dev Ctr Xray Technol EZRT Dr Mack Str 81 D-90762 Furth Germany INSA Lyon Natl Inst Appl Sci Non Destruct Testing Using Ionising Radiat Lab CN F-69621 Villeurbanne France

ISBN: (纸本)9780819485731

the three dimensional X-ray computed tomography (3D-CT) has proved its successful usage as inspection method in non destructive testing. the generated 3D volume using high efficiency reconstruction algorithms contains all the inner structures of the inspected part. Segmentation of this volume reveals suspicious regions which need to be classified into defects or false alarms. this paper deals with the classification step using data fusion theory and support vector machine. Results achieved are very promising and prove the effectiveness of the data fusion theory as a method to build stronger classifier.

关键词： 3D-CT data ROC curves data fusion SVM defects classification

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35th IFIP WG 6.1 international Conference on Formal Techniques for Distributed Objects, Components and Systems, FORTE 2015 Held as Part of the 10th international Federated Conference on Distributed Computing Techniques, DisCoTec 2015

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35th IFIP WG 6.1 international Conference on Formal Techniques for Distributed Objects, Components, and Systems, FORTE 2015 Held as Part of the 10th international Federated Conference on Distributed Computing Techniques, DisCoTec 2015

ISBN: (纸本)9783319191942

the proceedings contain 16 papers. the special focus in this conference is on Formal Techniques for Distributed Objects, Components and Systems. the topics include: Types for deadlock-free higher-order programs;on partial order semantics for SAT/SMT-based symbolic encodings of weak memory concurrency;a strategy for automatic verification of stabilization of distributed algorithms;faster linearizability checking via P-compositionality;translation validation for synchronous data-flow specification in the signal compiler;dynamic causality in event structures;loop freedom in AODVv2;code mobility meets self-organisation;timely dataflow;difference bound constraint abstraction for timed automata reachability checking;compliance and subtyping in timed session types;type checking privacy policies in the π-calculus;extending testing automata to all LTL;simple isolation for an actor abstract machine and sliced path prefixes.

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Multi-threaded data mining of EDGAR CIKs (Central Index Keys) from ticker symbols

Multi-threaded data mining of EDGAR CIKs (Central Index Keys...

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10th workshop on Advances in Parallel and Distributed Computational Models/22nd IEEE international Parallel and Distributed Processing Symposium

作者： Lyon, Douglas A. Fairfield Univ Dept Comp Engn Fairfield CT 06824 USA

ISBN: (纸本)9781424416936

this paper describes how use the Java Swing HTMLEditorKit to perform multi-threaded web data mining on the EDGAR system (Electronic data-Gathering, Analysis, and Retrieval system). EDGAR is the SEC's (U.S. Securities and Exchange Commission) means of automating the collection, validation, indexing, acceptance, and forwarding of submissions. Some entities are regulated by the SEC (e.g. publicly traded firms) and are required, by law, to file with the SEC. Our focus is on making use of EDGAR to get information about company filings. these offers are filed with companies, using their Central Index Key (CIK). the CIK is used on the SEC's computer system to identify entities that filed a disclosure with the SEC We show how to map a stock ticker symbol into a CIK. the methodology for converting the web data source into internal data structures is based on using HTML as the input into a context-sensitive parser-call-back facility. Screen scraping is a popular means of data mining, but the unstructured nature of HTML pages makes this a challenge. the stop-and-wait nature of HTTP queries, as well as the non-deterministic nature of the response time, adversely impacts performance. We show that a combination of caching and multi-threading can improve performance by several orders of magnitude.

关键词： data mining

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10th international workshop on the Algorithmic Foundations of Robotics, WAFR 2012

10th International Workshop on the Algorithmic Foundations o...

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10th international workshop on the Algorithmic Foundations of Robotics, WAFR 2012

ISBN: (纸本)9783642362781

the proceedings contain 31 papers. the special focus in this conference is on Algorithmic Foundations of Robotics. the topics include: the minimum constraint removal problem with three robotics applications;multi-agent path planning and network flow;trajectory planning and assignment in multirobot systems;k-color multi-robot motion planning;distributed construction of truss structures;space-time group motion planning;multi-robot coverage and exploration in non-euclidean metric spaces;lion and man with visibility in monotone polygons;sparse roadmap spanners;toggle prm: a coordinated mapping of c-free and c-obstacle in arbitrary dimension;on the power of manifold samples in exploring configuration spaces and the dimensionality of narrow passages;hierarchical decision theoretic planning for navigation among movable obstacles;sampling extremal trajectories for planar rigid bodies;convex hull asymptotic shape evolution;efficient collision checking in sampling-based motion planning;faster sample-based motion planning using instance-based learning;scale-free coordinates for multi-robot systems with bearing-only sensors;mapping polygons with agents that measure angles;counting moving bodies using sparse sensor beams;convex receding horizon control in non-gaussian belief space;planar uncertainty propagation and a probabilistic algorithm for interception;intention-aware motion planning;robust complete path planning in the plane;point-based policy transformation: adapting policy to changing pomdp models;from formal methods to algorithmic implementation of human inspired control on bipedal robots;configurations and path planning of convex planar polygonal loops;equilibrium configurations of a kirchhoff elastic rod under quasi-static manipulation;from discrete to continuous motion planning;ray-shooting algorithms for robotics and optimal gap navigation for a disc robot.

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An SHM data-Driven Methodology for the Remaining Useful Life Prognosis of Aeronautical Subcomponents 10th

An SHM Data-Driven Methodology for the Remaining Useful Life...

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10th European workshop on Structural Health Monitoring (EWSHM)

作者： Galanopoulos, Georgios Eleftheroglou, Nick Milanoski, Dimitrios Broer, Agnes Zarouchas, Dimitrios Loutas, theodoros Univ Patras Dept Mech Engn & Aeronaut Appl Mech Lab Rion 26504 Greece Delft Univ Technol Fac Aerosp Engn Struct Integr & Composites Grp Kluyverweg 1 NL-2629 HS Delft Netherlands Delft Univ Technol Aerosp Engn Fac Ctr Excellence Artificial Intelligence Struct Delft Netherlands

ISBN: (纸本)9783031072543;9783031072536

Prognosis of the Remaining Useful Life (RUL) of a structure from Structural Health Monitoring data is the ultimate level in the SHM hierarchy. Reliable prognostics are key to a Condition Based Maintenance paradigm for aerospace systems and structures. In the present work, we propose a methodology for RUL prognosis of generic aeronautical elements i.e. single stringered composite panels subjected to compression/compression fatigue. Strain measurements are utilized in this direction via FBG sensors bonded to the stiffener feet. the strain data collected during the fatigue life are processed and used for the RUL prognosis. In order to accomplish this task, it is essential to produce Health Indicators (HIs) out of raw strain that can properly capture the degradation process. To create such HIs a new pre/post-processing technique is employed and a variety of different HIs are developed. the quality of the HIs can enhance the performance of the prognostic algorithms, hence a fusion methodology is proposed using genetic algorithms. the resulted fused HI is used for the RUL estimation of the SSCPs. Gaussian processes and Hidden Semi Markov Models are employed for RUL prognosis and their performance is compared. Despite the complexity the raw data we demonstrate the feasibility of successful RUL prognostics in a SHM-data driven approach.

关键词： Structural Health Monitoring RUL prognosis Composite panels Health Indicators Fibber Bragg Gratings

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ProFusion2 - towards a modular, robust and reliable fusion architecture for automotive environment perception

ProFusion2 - towards a modular, robust and reliable fusion a...

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10th international Forum on Advanced Microsystems for Automotive Applications

作者： Tatschke, T. Park, S. -B. Amditis, A. Scheunert, U. Aycard, O. Univ Passau FORWISS D-94036 Passau Germany

ISBN: (纸本)3540334092

this publication focuses on a modular architecture for sensor data fusion regarding to research work of common interest related to sensors and sensor data fusion. this architecture will be based on an extended environment model and representation, consisting of a set of common data structures for sensor, object and situation refinement data and algorithms as well as the corresponding models. the aim of such research is to contribute to a measurable enhancement of the output performance provided by multi-sensor systems in terms of actual availability, reliability, accuracy and precision of the perception results. In this connection, investigations towards fusion concepts and paradigms, such as 'redundant' and 'complementary', as well as 'early' and track-based sensor data fusion approaches, are conducted, in order to significantly enhance the overall performance of the perception system.

关键词： sensor data fusion environment perception fusion framework environment modelling early fusion multi level fusion grid-based fusion track-based fusion fusion feedback ProFusion2

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Dynamising interval scheduling: the monotonic case

Dynamising interval scheduling: The monotonic case

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24th international workshop on Combinatorial algorithms, IWOCA 2013

作者： Gavruskin, Alexander Khoussainov, Bakhadyr Kokho, Mikhail Liu, Jiamou Department of Computer Science University of Auckland New Zealand School of Computing and Mathematical Sciences Auckland University of Technology New Zealand

ISBN: (纸本)9783642452772

We investigate dynamic algorithms for the interval scheduling problem. We focus on the case when the set of intervals is monotonic. this is when no interval properly contains another interval. We provide two data structures for representing the intervals that allow efficient insertion, removal and various query operations. the first dynamic algorithm, based on the data structure called compatibility forest, runs in amortised time O(log2 n) for insertion and removal and O(logn) for query. the second dynamic algorithm, based on the data structure called linearised tree, runs in time O(logn) for insertion, removal and query. We discuss differences and similarities of these two data structures through theoretical and experimental results. © 2013 Springer-Verlag.

关键词： data structures

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Feature shaving for spectroscopic data

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Joint IAPR 10th international workshop on Structural and Syntactic Pattern Recognition, SSPR 2004 and 5th international workshop on Statistical Techniques in Pattern Recognition, SPR 2004

作者： Verzakov, Serguei Paclík, Pavel Duin, Robert P.W. Information and Communication Theory Group Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands

ISBN: (纸本)9783540225706

High-resolution spectroscopy is a powerful industrial tool. the number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature selection/extraction algorithms are necessary to handle data of such a large dimensionality. One of the possible solutions is the SVM shaving technique. It was developed for applications in microarray data, which also have a huge number of features. the fact that the neighboring features (wavelengths) are highly correlated allows one to propose the SVM band-shaving algorithm, which takes into account the prior knowledge on the wavelengths order. the SVM band-shaving has a lower computational demands than the standard SVM shaving and selects features organized into bands. this is preferable due to possible noise reduction and a more clear physical interpretation. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Spectroscopic analysis

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On the study data structures: Binary tournaments with repeated keys 10th

On the study data structures: Binary tournaments with repeat...

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10th international Colloquium on Automata, Languages and Programming, ICALP 1983

作者： Lescanne, P. Steyaert, J.M. Campus Scientifique CRIN BP 239 Vandoeuvre Les Nancy54506 France Laboratoires de Mathématiques Appliquées Ecole Polytechnique Palaiseau Cedex91128 France

ISBN: (纸本)9783540123170

In this paper we develop a systematic way of analyzing tree like data structures and recursive algorithms on them;the method is shown on binary tournaments with repeated Keys extending previous applications to term trees. Tournaments are studied both as a combinatorial and as a computational object;the main line of our approach consists in showing strong correspondences between recursive definition of combinatorial parameters and of procedures on one hand and equations over generating power series on the other hand;we can then conclude by deriving closed formulae or asymtotic estimates for the average values of various quantities and running times of procedures. © 1983, Springer-Verlag.

关键词： Binary trees

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the Sky Is Not the Limit

The Sky Is Not the Limit

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10th international workshop on Self-Organizing Maps (WSOM)

作者： Merenyi, Erzsebet Rice Univ Dept Stat 6100 Main St MS-138 Houston TX 77005 USA Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA

ISBN: (纸本)9783319076959;9783319076942

We live in the era of Big data, or at least our awareness of Big data's presence and impact has sharpened in the past ten years. Compared to data characteristics decades ago, Big data not only means a deluge of unfiltered bytes, but even more importantly it represents a dramatic increase in data dimensionality (the number of variables) and complexity (the relationships among the often interdependent variables, intricacy of cluster structure). Along with the opportunities for nuanced understanding of processes and for decision making, these data created new demands for information extraction methods in terms of the detail that is expected to be identified in analysis tasks such as clustering, classification, regression, and parameter inference. Many traditionally favored techniques do not meet these challenges if one's aim is to fully exploit the rich information captured by sophisticated sensors and other automated data collection techniques, to ensure discovery of surprising small anomalies, discriminate important, subtle differences, and more. A flurry of technique developments has been spawned, many augmenting existing algorithms with increasingly complex features. © Springer international Publishing Switzerland 2014.

关键词： Big data

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