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Shared-Repository based Approach for Storing and Discovering web Services

Procedia computer science 2015年 73卷 56-65页

作者： Moussa Kaouan Djelloul Bouchiha Sidi Mohamed Benslimane Ctr Univ Naama Inst. Sciences and Technologies Department Mathematics and Computer Science Algeria EEDIS labo University of Sidi Bel-Abbes

The Web services technology uses a set of standards, namely SOAP, WSDL and UDDI. In particular, UDDI is a platform for storing and retrieving Web services. Thus, the problem of Web service discovery is often attached to the UDDI. As Web services are developed through Internet, users must be able to effectively access and share these services. The production and interoperability of a large number of Web services has led to the emergence of new standards of publication, discovery and use of Web services. Therefore, mechanisms to distribute services are necessary for efficient selection of the appropriate Web service to the customer needs. In this paper, we propose a shared repository (ontology), which can be exploited by the UDDI for the storage and the discovery of a Web service. A matching algorithm is also proposed to show how to perform this operation. A prototype tool has been developed and experiments have been carried out to evaluate and show the efficiency of our approach.

关键词： Web Service UDDI Shared Repository Ontology Service Discovery Service Storage

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Adaptive Interest Lifetimes for Information-Centric Wireless Multi-hop Communication

Adaptive Interest Lifetimes for Information-Centric Wireless...

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Joint IFIP Wireless and Mobile Networking Conference (WMNC)

作者： Carlos Anastasiades Lukas von Rotz Torsten Braun Institute of Computer Science and Applied Mathematics University of Bern Switzerland Inst. of Comput. Sci. & Appl. Math. Universitat Bern Bern BE CH

ISBN: (纸本)9781509000913

Information-centric networking (ICN) is a promising approach for wireless communication because users can exploit the broadcast nature of the wireless medium to quickly find desired content at nearby nodes. However, wireless multi-hop communication is prone to collisions and it is crucial to quickly detect and react to them to optimize transmission times and avoid spurious retransmissions. Several adaptive retransmission timers have been used in related ICN literature but they have not been compared and evaluated in wireless multi-hop environments. In this work, we evaluate existing algorithms in wireless multi-hop communication. We find that existing algorithms are not optimized for wireless communication but slight modifications can result in considerably better performance without increasing the number of transmitted Interests.

关键词： Wireless communication Communication system security Spread spectrum communication Algorithm design and analysis Delays Throughput Emulation

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Evaluating the Impact of Mars and Venus Effect on the Use of an Adaptive Learning Technology for Portuguese and mathematics

Evaluating the Impact of Mars and Venus Effect on the Use of...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Sivaldo J. De Santana Ranilson Paiva Ig Ibert Bittencourt Patrícia Espinheira Ospina Rafael De Amorim Silva Seiji Isotani Comput. Inst. Universidade Federal de Alagoas Maceio Alagoas BR Federal University of Campina Grande ─ UFCG Campina Grande Brazil Computing Institute ─ IC Federal University of Alagoas ─ UFAL Maceió Brazil Center of Exact Sciences and Nature ─ CCEN Federal University of Pemambuco ─ UFPE Recife Brazil Mathematics and Computer Science Institute ─ ICMC University of São Paulo ─ USP São Paulo Brazil

ISBN: (纸本)9781467390422

Some recent studies discussed the pros and cons of gender difference in the use of intelligent educational technologies. According to these studies, there is a difference in behavior, attitude, learning and emotion. However, most of the studies were conducted for mathematics and in a well developed ecological setting. In this work, we investigated the Mars and Venus Effect, by measuring together different variables, such as learning performance (in Portuguese and mathematics), age, location area, and learning technology. The study was a random pre/posttest control group experimental design, on which 191 students from public schools in Brazil participated. The experimental group used an adaptive learning technology (called MeuTutor) for nine months, while the control group did not use any educational technology during the study. The most relevant results are: i) the use of the adaptive learning technology improves student's performance in mathematics and Portuguese for both male and female students, ii) the improvement of male student's performance is more significant, against.female students, iii) when we focus on technology, male students had better performance in mathematics, but no significant difference in Portuguese.

关键词： Mathematical model Mars Venus Computational modeling Educational technology

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Question Answering Systems: Survey and Trends

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Procedia computer science 2015年 73卷 366-375页

作者： Abdelghani Bouziane Djelloul Bouchiha Noureddine Doumi Mimoun Malki Ctr Univ Naama Inst. Sciences and Technologies Department Mathematics and Computer Science Algeria University Dr. Tahar Moulay of Saida EEDIS Laboratory Djillali Liabes University of Sidi Bel Abbes Algeria

The need to query information content available in various formats including structured and unstructured data (text in natural language, semi-structured Web documents, structured RDF data in the semantic Web, etc.) has become increasingly important. Thus, Question Answering Systems (QAS) are essential to satisfy this need. QAS aim at satisfying users who are looking to answer a specific question in natural language. In this paper we survey various QAS. We give also statistics and analysis. This can clear the way and help researchers to choose the appropriate solution to their issue. They can see the insufficiency, so that they can propose new systems for complex queries. They can also adapt or reuse QAS techniques for specific research issues.

关键词： Question Answering System (QAS) Natural Language Processing (NLP) Information Retrieval SPARQL Semantic Web

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROscience 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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New constraints on oscillation parameters from νe appearance and νμ disappearance in the NOvA experiment

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Physical Review D 2018年第3期98卷 032012-032012页

作者： M. A. Acero P. Adamson L. Aliaga T. Alion V. Allakhverdian N. Anfimov A. Antoshkin E. Arrieta-Diaz A. Aurisano A. Back C. Backhouse M. Baird N. Balashov B. A. Bambah K. Bays B. Behera S. Bending R. Bernstein V. Bhatnagar B. Bhuyan J. Bian T. Blackburn J. Blair A. Bolshakova P. Bour C. Bromberg J. Brown N. Buchanan A. Butkevich V. Bychkov M. Campbell T. J. Carroll E. Catano-Mur A. Cedeno S. Childress B. C. Choudhary B. Chowdhury T. E. Coan M. Colo J. Cooper L. Corwin L. Cremonesi D. Cronin-Hennessy G. S. Davies J. P. Davies S. De Rijck P. F. Derwent R. Dharmapalan P. Ding Z. Djurcic E. C. Dukes P. Dung H. Duyang S. Edayath R. Ehrlich G. J. Feldman M. J. Frank H. R. Gallagher R. Gandrajula F. Gao S. Germani A. Giri R. A. Gomes M. C. Goodman V. Grichine M. Groh R. Group D. Grover B. Guo A. Habig F. Hakl J. Hartnell R. Hatcher A. Hatzikoutelis K. Heller A. Himmel A. Holin B. Howard J. Huang J. Hylen F. Jediny M. Judah I. Kakorin D. Kalra D. M. Kaplan R. Keloth O. Klimov L. W. Koerner L. Kolupaeva S. Kotelnikov I. Kourbanis A. Kreymer Ch. Kulenberg A. Kumar C. Kuruppu V. Kus T. Lackey K. Lang S. Lin M. Lokajicek J. Lozier S. Luchuk K. Maan S. Magill W. A. Mann M. L. Marshak V. Matveev D. P. Méndez M. D. Messier H. Meyer T. Miao W. H. Miller S. R. Mishra A. Mislivec R. Mohanta A. Moren L. Mualem M. Muether S. Mufson R. Murphy J. Musser D. Naples N. Nayak J. K. Nelson R. Nichol E. Niner A. Norman T. Nosek Y. Oksuzian A. Olshevskiy T. Olson J. Paley R. B. Patterson G. Pawloski D. Pershey O. Petrova R. Petti S. Phan-Budd R. K. Plunkett B. Potukuchi C. Principato F. Psihas A. Radovic R. A. Rameika B. Rebel P. Rojas V. Ryabov K. Sachdev O. Samoylov M. C. Sanchez J. Sepulveda-Quiroz P. Shanahan A. Sheshukov P. Singh V. Singh E. Smith J. Smolik P. Snopok N. Solomey E. Song A. Sousa K. Soustruznik M. Strait L. Suter R. L. Talaga P. Tas R. B. Thayyullathil J. Thomas E. Tiras S. C. Tognini D. Torbunov J. Tripathi A. Tsaris Y. Torun J. Urheim P. Vahle J. Vasel L. Vinton P. Vokac A. Vold T. Vrba B. Wang T. K. Warburton M. Wetstein Universidad del Atlantico Km. 7 antigua via a Puerto Colombia Barranquilla Colombia Fermi National Accelerator Laboratory Batavia Illinois 60510 USA Department of Physics and Astronomy University of Sussex Falmer Brighton BN1 9QH United Kingdom Joint Institute for Nuclear Research Dubna Moscow region 141980 Russia School of Physics and Astronomy University of Minnesota Twin Cities Minneapolis Minnesota 55455 USA Department of Physics Southern Methodist University Dallas Texas 75275 USA Department of Physics University of Cincinnati Cincinnati Ohio 45221 USA Department of Physics and Astronomy Iowa State University Ames Iowa 50011 USA Physics and Astronomy Dept. University College London Gower Street London WC1E 6BT United Kingdom Indiana University Bloomington Indiana 47405 USA Department of Physics University of Virginia Charlottesville Virginia 22904 USA School of Physics University of Hyderabad Hyderabad 500 046 India California Institute of Technology Pasadena California 91125 USA Department of Physics IIT Hyderabad Hyderabad 502 205 India Department of Physics Panjab University Chandigarh 106 014 India Department of Physics IIT Guwahati Guwahati 781 039 India Department of Physics and Astronomy University of California at Irvine Irvine California 92697 USA Department of Physics University of Houston Houston Texas 77204 USA Czech Technical University in Prague Brehova 7 115 19 Prague 1 Czech Republic Department of Physics and Astronomy Michigan State University East Lansing Michigan 48824 USA Department of Physics Colorado State University Fort Collins Colorado 80523-1875 USA Inst. for Nuclear Research of Russia Academy of Sciences 7a 60th October Anniversary prospect Moscow 117312 Russia Department of Physics University of Texas at Austin Austin Texas 78712 USA Department of Mathematics Statistics and Physics Wichita State University Wichita Kansas 67206 USA Department of Physics and Astrophysics University of Delhi Del

We present updated results from the NOvA experiment for νμ→νμ and νμ→νe oscillations from an exposure of 8.85×1020 protons on target, which represents an increase of 46% compared to our previous publication. The results utilize significant improvements in both the simulations and analysis of the data. A joint fit to the data for νμ disappearance and νe appearance gives the best-fit point as normal mass hierarchy, Δm322=2.44×10−3 eV2/c4, sin2θ23=0.56, and δCP=1.21π. The 68.3% confidence intervals in the normal mass hierarchy are Δm322∈[2.37,2.52]×10−3 eV2/c4, sin2θ23∈[0.43,0.51]∪[0.52,0.60], and δCP∈[0,0.12π]∪[0.91π,2π]. The inverted mass hierarchy is disfavored at the 95% confidence level for all choices of the other oscillation parameters.

关键词： Neutrino oscillations

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Rendering and subjective evaluation of real vs. Synthetic vibrotactile cues on a digital piano keyboard 12

Rendering and subjective evaluation of real vs. Synthetic vi...

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12th International Conference on Sound and Music Computing, SMC 2015

作者： Fontana, Federico Järveläinen, Hanna Papetti, Stefano Avanzini, Federico Klauer, Giorgio Malavolta, Lorenzo Universita di Udine Dept. of Mathematics and Computer Science via delle Scienze 206 Udine33100 Italy Zurcher Hochschuleder Künste Inst. for Computer Music and Sound Technology Pfingstweidstrasse 96 Zurich8031 Switzerland Università di Padova Dept. of Information Engineering Via G. Gradenigo 6/b Padova35131 Italy Conservatorio di Musica Cesare Pollini Via Eremitani 18 Padova35121 Italy

ISBN: (纸本)9780992746629

The perceived properties of a digital piano keyboard were studied in two experiments involving different types of vibrotactile cues in connection with sonic feedback. The first experiment implemented a free playing task in which subjects had to rate the perceived quality of the inst.ument according to five attributes: Dynamic control, Richness, Engagement, Naturalness, and General preference. The second experiment measured performance in timing and dynamic control in a scale playing task. While the vibrating condition was preferred over the standard nonvibrating setup in terms of perceived quality, no significant differences were observed in timing and dynamics accuracy. Overall, these results must be considered preliminary to an extension of the experiment involving repeated measurements with more subjects. © 2015 Federico Fontana et al.

关键词： Quality control

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New constraints on oscillation parameters from νe appearance and νµ disappearance in the NOvA experiment

arXiv

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arXiv 2018年

作者： Acero, M.A. Adamson, P. Aliaga, L. Alion, T. Allakhverdian, V. Anfimov, N. Antoshkin, A. Arrieta-Diaz, E. Aurisano, A. Back, A. Backhouse, C. Baird, M. Balashov, N. Bambah, B.A. Bays, K. Behera, B. Bending, S. Bernstein, R. Bhatnagar, V. Bhuyan, B. Bian, J. Blackburn, T. Blair, J. Bolshakova, A. Bour, P. Bromberg, C. Brown, J. Buchanan, N. Butkevich, A. Bychkov, V. Campbell, M. Carroll, T.J. Catano-Mur, E. Cedeno, A. Childress, S. Choudhary, B.C. Chowdhury, B. Coan, T.E. Colo, M. Cooper, J. Corwin, L. Cremonesi, L. Cronin-Hennessy, D. Davies, G.S. Davies, J.P. de Rijck, S. Derwent, P.F. Dharmapalan, R. Ding, P. Djurcic, Z. Dukes, E.C. Dung, P. Duyang, H. Edayath, S. Ehrlich, R. Feldman, G.J. Frank, M.J. Gallagher, H.R. Gandrajula, R. Gao, F. Germani, S. Giri, A. Gomes, R.A. Goodman, M.C. Grichine, V. Groh, M. Group, R. Grover, D. Guo, B. Habig, A. Hakl, F. Hartnell, J. Hatcher, R. Hatzikoutelis, A. Heller, K. Himmel, A. Holin, A. Howard, B. Huang, J. Hylen, J. Jediny, F. Judah, M. Kakorin, I. Kalra, D. Kaplan, D.M. Keloth, R. Klimov, O. Koerner, L.W. Kolupaeva, L. Kotelnikov, S. Kourbanis, I. Kreymer, A. Kulenberg, Ch Kumar, A. Kuruppu, C. Kus, V. Lackey, T. Lang, K. Lin, S. Lokajicek, M. Lozier, J. Luchuk, S. Maan, K. Magill, S. Mann, W.A. Marshak, M.L. Matveev, V. Méndez, D.P. Messier, M.D. Meyer, H. Miao, T. Miller, W.H. Mishra, S.R. Mislivec, A. Mohanta, R. Moren, A. Mualem, L. Muether, M. Mufson, S. Murphy, R. Musser, J. Naples, D. Nayak, N. Nelson, J.K. Nichol, R. Niner, E. Norman, A. Nosek, T. Oksuzian, Y. Olshevskiy, A. Olson, T. Paley, J. Patterson, R.B. Pawloski, G. Pershey, D. Petrova, O. Petti, R. Phan-Budd, S. Plunkett, R.K. Potukuchi, B. Principato, C. Psihas, F. Radovic, A. Rameika, R.A. Rebel, B. Rojas, P. Ryabov, V. Sachdev, K. Samoylov, O. Sanchez, M.C. Sepulveda-Quiroz, J. Shanahan, P. Sheshukov, A. Singh, P. Singh, V. Smith, E. Smolik, J. Snopok, P. Solomey, N. Song, E. Argonne National Laboratory ArgonneIL60439 United States Universidad del Atlantico Km. 7 antigua via a Puerto Colombia Barranquilla Colombia Department of Physics Institute of Science Banaras Hindu University Varanasi221 005 India California Institute of Technology PasadenaCA91125 United States Charles University Faculty of Mathematics and Physics Institute of Particle and Nuclear Physics Prague Czech Republic Department of Physics University of Cincinnati CincinnatiOH45221 United States Department of Physics Cochin University of Science and Technology Kochi682 022 India Department of Physics Colorado State University Fort CollinsCO80523-1875 United States Czech Technical University in Prague Brehova 7 Prague 1115 19 Czech Republic Department of Physics and Astrophysics University of Delhi Delhi110007 India Fermi National Accelerator Laboratory BataviaIL60510 United States Instituto de Física Universidade Federal de Goiás GoiâniaGoiás74690-900 Brazil Department of Physics IIT Guwahati Guwahati781 039 India Department of Physics Harvard University CambridgeMA02138 United States School of Physics University of Hyderabad Hyderabad500 046 India Department of Physics IIT Hyderabad Hyderabad502 205 India Indiana University BloomingtonIN47405 United States Institute of Computer Science Czech Academy of Sciences Prague182 07 Czech Republic Department of Physics Illinois Institute of Technology ChicagoIL60616 United States Inst. for Nuclear Research of Russia Academy of Sciences 7a 60th October Anniversary prospect Moscow117312 Russia Institute of Physics Czech Academy of Sciences Prague182 21 Czech Republic Department of Physics and Astronomy Iowa State University AmesIA50011 United States Department of Physics and Astronomy University of California at Irvine IrvineCA92697 United States Department of Physics and Electronics University of Jammu Jammu TawiJammu and Kashmir180 006 India Joint Institute for Nuclear Resear

We present updated results from the NOvA experiment for νµ → νµ and νµ → νe oscillations from an exposure of 8.85 ×1020 protons on target, which represents an increase of 46% compared to our previous publication. The results utilize significant improvements in both the simulations and analysis of the data. A joint fit to the data for νµ disappearance and νe appearance gives the best fit point as normal mass hierarchy, ∆m232 = 2.44 × 10−3eV2/c4, sin2 θ23 = 0.56, and δCP = 1.21π. The 68.3% confidence intervals in the normal mass hierarchy are ∆m232 ∈ [2.37, 2.52] × 10−3eV2/c4, sin2 θ23 ∈ [0.43, 0.51] ∪ [0.52, 0.60], and δCP ∈ [0, 0.12π] ∪ [0.91π, 2π]. The inverted mass hierarchy is disfavored at the 95% confidence level for all choices of the other oscillation parameters. Copyright © 2018, The Authors. All rights reserved.

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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RUSICA initial implementations: Simulation results of sandy shore evolution in Porto Cesareo, Italy

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AIP Conference Proceedings 2016年第1期1738卷

作者： Claudia Roberta Calidonna Salvatore Di Gregorio Francesco Gullace Daniel Gullì Valeria Lupiano CNR-ISAC Inst. of Climate and Atmospheric Science Industrial Area Comp.15 88046 Lamezia Terme CZ Italy Dept. of Mathematics and Computer Science Univ. of Calabria Arcavacata 87036 Rende CS Italy Dept. of Biology Ecology and Earth Sciences Univ. of Calabria Arcavacata 87036 Rende CS Italy

Beach recession is spreading in Mediterranean by effects of climatic change. RUSICA is a Cellular Automata model, that is in developing phase for simulating such a complex phenomenon, considering its main mechanisms: loose particles (sand, gravel, silt, clay, etc.) mobilization, suspension, deposit and transport, triggered by waves and currents. A simplified version of the model was implemented and applied to data, related to the sandy shore of Torre Lapillo (Porto Cesareo, Italy), in August 2010, where shore evolution was monitored, even if data quality and quantity aren’t ideal in order to feed RUSICA. Simulations of different scenarios of stormy sea in that area evidenced the adequate performance of the model in capturing the main emergent features of the phenomenon in despite of the simplified approach.

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