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5th International Joint Conference on Computational Intelligence, IJCCI 2013

作者： Cadenas, José Manuel Del Carmen Garrido, María Martínez, Raquel Dpt. Information Engineering and Communications Computer Faculty University of Murcia 30100 Murcia Spain

ISBN: (纸本)9789898565778

Classification problems in which the number of attributes is larger than the number of examples are increasingly common with rapid technological advances in data collection. Also numerical data are predominant in real world applications and many algorithms in supervised learning are restricted to discrete attributes. Focusing on these issues, we proposed an improvement in a fuzzy discretization method by means of the introduction of a bagging process in the different phases of the method. The bagging process tries to solve problems which can appear with small size datasets. Also we show the benefits that bagging introduces in the method by means of several experiments. The experiments have been validated by means of statistical tests.

关键词： Data mining

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Learning System Based on Contextual Awareness for Clinical Practice in Nursing Courses

Learning System Based on Contextual Awareness for Clinical P...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Jorge Gómez Gómez J.F. Huete Velssy Hernandez Riaño Department of Systems Engineering - Research Group GNOCIX Universidad del Sinu-Monteria Colombia Dpt. Computer Science and Artificial Intelligence University of Granada-CITIC_UGR Spain Research Group SOCRATES Universidad de Cordoba-Monteria Colombia

The ubiquitous learning is used as a means of supporting teaching processes by means of the use of mobile and wireless communication technologies, sensors and tracking mechanisms / tracking, working together to integrate students with their environment. The process of clinical learning for nursing students may be the main cause of increased stress on teachers and students, given the problematic nature of the patients. This paper presents an ubiquitous learning system based on active learning methodology that provides context awareness support for nursing courses. An experiment with control and experimental groups with nursing students demonstrates that for theoretical concepts to be successfully transferred into practice, the context of practice needs to be considered.

关键词： Medical services Context Education Mobile communication Learning systems Mobile handsets Personal digital assistants

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Reasoning in fuzzy OWL 2 with delorean

Reasoning in fuzzy OWL 2 with delorean

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6th International Workshop on Uncertainty Reasoning for the Semantic Web, URSW 2010, Held as Part of the 9th International Semantic Web Conferences, ISWC 2010 and 1st International Workshop on Uncertainty in Description Logics, UniDL2010

作者： Bobillo, Fernando Delgado, Miguel Gómez-Romero, Juan Dpt. of Computer Science and Systems Engineering University of Zaragoza Spain Dpt. of Computer Science and Artificial Intelligence University of Granada Spain Applied Artificial Intelligence Group University Carlos III Madrid Spain

ISBN: (纸本)9783642359743

Classical ontologies are not suitable to represent imprecise or vague information, which has led to several extensions using non-classical logics. In particular, several fuzzy extensions have been proposed in the literature. In this paper, we present the fuzzy ontology reasoner DeLorean, the first to support a fuzzy extension of OWL 2. We discuss how to use it for fuzzy ontology representation and reasoning, and describe some implementation details and optimization techniques. An empirical evaluation demonstrates that these optimizations considerably improve the performance of the reasoner. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Ontology

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Linear Quadratic Optimal Trajectory-Tracking Control of a Longitudinal Thrust Vectoring-Enabled Unmanned Tri-TiltRotor

Linear Quadratic Optimal Trajectory-Tracking Control of a Lo...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Christos Papachristos Kostas Alexis Anthony Tzes Electrical & Computer Engineering Dpt. University of Patras Autonomous Systems Lab ETH Zurich Electrical & Computer Engineering Dpt. University of Patras

ISBN: (纸本)9781479902255

The optimal trajectory-tracking control of a Tri-TiltRotor Unmanned Aerial Vehicle is the subject of this paper. This specific UAV design possesses the capability to control the orientation of its main rotors, thus enabling operation in both the Vertical Take-Off and Landing as well as the Fixed-Wing flight mode configuration. The translational controller developed is based on a Linear-Quadratic tracking scheme. Additionally to the proposed controller, the newly introduced capability for rotor-tilting, and thus thrust vectoring, as provided by this design is proposed for its utilization in the control of the longitudinal degree-of-freedom of the UAV. Simulation and experimental results are presented, demonstrating both the overall proposed controller's efficiency, as well as the clear advantage gained by the aforementioned proposed strategy, with regard to the controlled system's longitudinal control performance.

关键词： trajectory tracking Unmanned Aerial Vehicle drone honey bees Vertical take off Standing Orders cage set Linear quadratic Controllers UNMANNED vertical control performance Freedom Surgery

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Automatic collection of failure data from the iOS platform

Automatic collection of failure data from the iOS platform

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2013 43rd Annual IEEE/IFIP Conference on Dependable systems and Networks Workshop, DSN-W 2013

作者： Cinque, Marcello Cotroneo, Domenico Rodriguez-Dominguez, Carlos Garrido, Jose Luis Dpt. of Electrical Engineering and Information Technology DIETI University of Naples Federico II Via Claudio 21 80125 Naples Italy Dpt. of Computer Languages and Systems ETSIIT University of Granada C/ P. D. Saucedo Aranda S/N 18071 - Granada Spain

ISBN: (纸本)9781479901814

The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propose the design and implementation of a logger to collect relevant failure data from iOS devices, such as iPhone and iPad. The preliminary use of the logger on real-world devices shows that it is able to collect meaningful failure data and to provide interesting insight on the dependability behavior of iOS. © 2013 IEEE.

关键词： Smartphones

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Automatic Collection of Failure Data from the iOS Platform

Automatic Collection of Failure Data from the iOS Platform

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Annual IEEE/IFIP International Conference on Dependable systems and Networks Workshops

作者： Marcello Cinque Domenico Cotroneo Carlos Rodnguez-Dominguez Jose Luis Garrido Dpt. of Electrical Engineering and Information Technology DIETI University of Naples Federico II Dpt. of Computer Languages and Systems ETSIIT University of Granada

ISBN: (纸本)9781479901807

关键词： Failure data collection Smart phones IOS Smartphone automatic collection IO Loggers iPhones

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18th European Symposium on Radiopharmacy and Radiopharmaceuticals Salzburg, Austria. 7-10 April 2016

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EJNMMI RADIOPHARMACY AND CHEMISTRY 2016年第1期1卷 1-37页

作者： [Anonymous] Los Alamos National Laboratory Los Alamos USA Oak Ridge National Laboratory Oak Ridge USA Department of Nuclear Medicine Medical University Innsbruck Innsbruck Austria Department of Radiology & Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands Institute of Molecular and Translational Medicine Faculty of Medicine and Dentistry Palacky University Olomouc Czech Republic Département de Médecine Nucléaire et Radiobiologie Faculté de Médecine et Sciences de la Santé Université de Sherbrooke Sherbrooke Canada Centre d’Imagerie Moléculaire de Sherbrooke (CIMS) CR-CHUS Sherbrooke Canada Division of Molecular Biology/Biocenter Medical University Innsbruck Innsbruck Austria Department of Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands IENI-CNR Padua Italy DiSCOG-University of Padua Padua Italy IOV Padua Padua Italy IC-CNR Bari Italy IBB-CNR Naples Italy Laboratory of Radiopharmacy KU Leuven Leuven Belgium Micro Flow Chemistry & Process Technology Chemical Engineering and Chemistry Department TU Eindhoven Eindhoven The Netherlands Laboratory for Radiopharmacy University of Leuven Leuven Belgium Department of Nuclear Medicine and Molecular Imaging University of Leuven Leuven Belgium Department of Medicine and Surgery Tecnomed Foundation University of Milano-Bicocca Milan Italy Dipartimento di Biotecnologie Mediche e Medicina Traslazionale Università degli Studi di Milano Milan Italy Department of Radiology & Nuclear Medicine VU University Medical Center Amsterdam The Netherlands Department of Clinical Pharmacology & Pharmacy VU University Medical Center Amsterdam The Netherlands Université de Lorraine Vandoeuvre les Nancy France NancycloTEP Plateforme d’imagerie expérimentale Vandoeuvre les Nancy France CNRS UMR 7565 SRSMC Vandoeuvre les Nancy France CHU de Nancy-Brabois Vandoeuvre les Nancy France Department of Biomedical Imaging and Image-guided Therapy Division of Nuclear Medicine Medical Univers

Table of contents OP03 Selective extraction of medically-related radionuclides from proton-irradiated thorium targets V. Radchenko, J.W. Engle, C. Roy, J. Griswold, M.F. Nortier, E.R. Birnbaum, M. Brugh, S. Mirzadeh, K. D. John, M.E. Fassbender OP04 Comparison of [68Ga]FSC(succ-RGD)3 and [68Ga]NODAGA-RGD for PET imaging of alpha v beta 3 integrin expression Chuangyan Zhai, Gerben M. Franssen, Milos Petrik, Peter Laverman, Clemens Decristoforo OP05 A new NPY-Y1R targeting peptide for breast cancer PET imaging Ait-Mohand Samia, Dumulon-Perreault Veronique, Guerin Brigitte OP06 The influence of multivalency on CCK 2 receptor targeting D. Summer, A. Kroess, C. Rangger, H. Haas, P. Laverman, F. Gerben, E. von Guggenberg, *** OP07 SPECT Imaging of alpha v beta 3 Expression by [99mTc(N)PNP43]- Bifunctional Chimeric RGD Peptide not Cross-Reacting with alpha v beta 5 Cristina Bolzati, Nicola Salvarese, Fiorenzo Refosco, Laura Melendez-Alafort, Debora Carpanese, Antonio Rosato, Michele Saviano, Annarita Del Gatto, Daniela Comegna, Laura Zaccaro OP09 New dienophiles for the inverse-electron-demand Diels-Alder reaction and for pretargeted PET imaging Emilie Billaud, Muneer Ahamed, Frederik Cleeren, Elnaz Shahbazali, Tim Noel, Volker Hessel, Alfons Verbruggen and Guy Bormans OP10 New complexing agent for Al18F-labelling of heat-sensitive biomolecules: Synthesis and preclinical evaluation of Al18F-RESCA1-HAS Cleeren F, Lecina J, Koole M, Verbruggen A and Bormans G OP11 A novel versatile precursor efficient for F-18 radiolabelling via click-chemistry B. Lugatoa, S. Stucchia, E.A. Turollaa, L. Giulianoa, ***, P. Ferraboschib OP12 A general applicable method to quantify unidentified UV impurities in radiopharmaceuticals R.P. Klok, M.P.J. Mooijer, N.H. Hendrikse, A.D. Windhorst OP13 Development of [F-18]Fluoro-C-glycosides to radiolabel peptides Collet C., Petry N., Chretien F., Karcher G., Pellegrini-Moise N., Lamande-Langle S. OP14 A Microfluidic Approach for the 68

关键词： Positron Emission Tomography Single Photon Emission Compute Tomography Standard Uptake Value Positron Emission Tomography Imaging High Pressure Liquid Chromatography

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PI+CI tuning for integrating plus deadtime systems

PI+CI tuning for integrating plus deadtime systems

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2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012

作者： Davo, Miguel A. Banos, Alfonso University of Murcia Dpt. Computer and Systems Engineering 30071 Murcia Spain

ISBN: (纸本)9781467347372

The PI+CI is a reset compensator that has been shown to be effective in a number of practical applications. In this work, a simple PI+CI tuning method for integrating systems with time delay is proposed. It is a direct method, with only a tuning parameter to balance between closed-loop robustness and performance. A tuning rule for the reset ratio parameter of the PI+CI compensator is proposed in order to improve the disturbance rejection. Finally, the proposed compensator is compared with some well-tuned PI compensators. © 2012 IEEE.

关键词： Disturbance rejection

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Grid computing and CBR deployment: Monitoring principles for a suitable engagement

Grid computing and CBR deployment: Monitoring principles for...

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9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012

作者： Castillo, Luis F. Isaza, Gustavo Bedia, Manuel Glez Aguilera, Miguel Correa, Juan David Universidad Nacional de Colombia Industrial Engineering Dpt. Bogotá Colombia Universidad de Caldas Computer Science and Systems Engineering Dpt. Manizales Colombia Universidad de Zaragoza Computer Science Dpt. Saragossa Spain Universidad Autónoma de Manizales Systems Engineering Manizales Colombia

ISBN: (纸本)9783642287640

This paper presents a mathematical technique for modeling the generation of Grid-solutions employing a Case based reasoning system (CBR). Roughly speaking, an intelligent system that tries to be adapted to highly dynamic environment needs an efficient integration of high-level processes (deliberative and time-costly) within low-level (reactive, faster but poorer in quality) processes. The most relevant aspect of our current approach is that, unexpectedly, the performance of the CBR-system do not get worse any time that it retrieves worse cases in situations even when it has enough time to generate better solutions. We concentrate on formal aspects of the proposed Grid-CBR system without establishing which should be the most adequate procedure in a subsequent implementation stage. The advantage of the presented scheme is that it does not depend on neither the particular problem nor a concrete environment. It consists in a formal approach that only requires, on one hand, local information about the averaged-time spent by the system in obtaining a solution and, on the other hand, an estimation about their temporal restrictions. The potential use of industry standard technologies to implement such a Grid-enabled CBR system is discussed here too. © 2012 Springer-Verlag.

关键词： Grid computing

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Towards an approach to select features from low quality datasets

Towards an approach to select features from low quality data...

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4th International Joint Conference on Computational Intelligence, IJCCI 2012

作者： Cadenas, Jose Manuel Del Carmen Garrido, Maria Martínez, Raquel Dpt. Engineering Information and Communications Computer Faculty University of Murcia 30100 Espinardo-Murcia Spain

ISBN: (纸本)9789898565334

Feature selection is an active research in machine learning. The main idea of feature selection is to choose a subset of available features, by eliminating features with little or no predictive information, and features strongly correlated. There are many approaches for feature selection, but most of them can only work with crisp data. Until our knowledge there are not many approaches which can directly work with both crisp and low quality (imprecise and uncertain) data. That is why, we propose a new method of feature selection which can handle both crisp and low quality data. The proposed approach integrates filter and wrapper methods into a sequential search procedure with improved classification accuracy of the features selected. This approach consists of steps following: (1) Scaling and discretization process of the feature set;and feature pre-selection using the discretization process (filter);(2) Ranking process of the feature pre-selection using a Fuzzy Random Forest ensemble;(3) Wrapper feature selection using a Fuzzy Decision Tree technique based on cross-validation. The efficiency and effectiveness of the approach is proved through several experiments with low quality datasets. Approach shows an excellent performance, not only classification accuracy, but also with respect to the number of features selected.

关键词： Feature Selection

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