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International Conference on Computer Engineering and Systems

作者： Marwa Moustafa Hala M. Ebied Ashraf Helmy Data Reception Analysis and Receiving Station Affairs National Authority for Remote sensing and space science Cairo Egypt Scientific Computing Department Ain Shams University Cairo Egypt

There is a high demand for high-resolution satellite sensing in modern application. Super Resolution (SR) offers an affordable solution for this high demand. The accuracy of super resolution depends on the accuracy of determining the difference between the low-resolution images. Shift estimation is the first and the most critical step in super resolution. This paper discusses shift estimation techniques in both spatial and frequency domains. It compares Vandewalle algorithm, Lucchese algorithm and Keran algorithm. Two real satellite images (SPOT-5) are used in the experiment. The images have -0.5 and 0.5 sub pixel shift in the horizontal and vertical directions respectively. The experimental results show that the Estimation shift parameters in spatial domain methods outperform the frequency domain methods.

关键词： Estimation Frequency-domain analysis Spatial resolution Satellites Vegetation mapping Image reconstruction

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First-principles study of perpendicular magnetic anisotropy in CoFe/MgO and CoFe/Mg3B2O6 interfaces

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Physical Review B 2013年第17期87卷 174403-174403页

作者： K. H. Khoo G. Wu M. H. Jhon M. Tran F. Ernult K. Eason H. J. Choi C. K. Gan Institute of High Performance Computing Agency for Science Technology and Research 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Data Storage Institute Agency for Science Technology and Research DSI Building 5 Engineering Drive 1 Singapore 117608 Department of Physics and IPAP Yonsei University Seoul 120-749 Korea

The CoFeB/MgO interface is important not only because of its ability to act as a good spin filter, but also because it exhibits significant magnetic interface anisotropy. However, there is experimental evidence that the mineral kotoite (Mg3B2O6) forms at this interface, possibly as a result of B diffusion into the oxide. Recent calculations have demonstrated that kotoite is a surprisingly good spin filter material, despite the lack of cubic symmetry. It is not a priori clear how the perpendicular anisotropy is affected if kotoite forms at the interface. Hereby, we have performed first-principles density functional calculations to investigate the magnetic anisotropy of CoFe/kotoite interfaces. We find that the Co/Fe atoms bind strongly to O atoms of kotoite, and the CoFe/kotoite interfaces exhibit strong perpendicular magnetic anisotropy (PMA) comparable to that of CoFe/MgO interfaces. Analysis of the electronic structure shows that CoFe states having dxz and dyz character are strongly affected by the magnetization direction and play an important role in determining the magnetic anisotropy of both CoFe/kotoite and CoFe/MgO interfaces. Our observations are consistent with previous experimental observations of PMA. We demonstrate that the interface properties are only weakly affected by the formation of kotoite compared to MgO.

关键词： MAGNETIC anisotropy INTERFACES (Physical sciences) ELECTRONIC structure OXIDE minerals MAGNETIZATION

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Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients

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BMC Genomics 2014年第9期15卷 S20-S20页

作者： Mah, Tzia Liang Yap, Xin Ning Adeline Limviphuvadh, Vachiranee Li, Nanpu Sridharan, Srinath Kuralmani, Vellaisemy Feng, Mengling Liem, Natalia Adhikari, Sharmila Yong, Wei Peng Soo, Ross A Maurer-Stroh, Sebastian Eisenhaber, Frank Tong, Joo Chuan Institute for Infocomm Research Data Analytics Department 1 Fusionopolis Way #21-01 Connexis South Tower Singapore 138632 Singapore National University Health System Department of Haematology-Oncology 5 Lower Kent Ridge Road Singapore 119074 Singapore Bioinformatics Institute 30 Biopolis Street #07-01 Matrix Singapore 138671 Singapore Nanyang Technological University (NTU) School of Biological Sciences (SBS) 60 Nanyang Drive 637551 Singapore Nanyang Technological University (NTU) School of Computer Engineering (SCE) 50 Nanyang Drive 637553 Singapore National University of Singapore (NUS) Department of Biological Sciences (DBS) 8 Medical Drive 4 117597 Singapore National University of Singapore Department of Biochemistry Yong Loo Lin School of Medicine Singapore 117597 Singapore Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis 138632 Singapore National University of Singapore Cancer Science Institute of Singapore Singapore

Background: Non-small cell lung cancer (NSCLC) is a major cause of cancer-related death worldwide due to poor patient prognosis and clinical outcome. Here, we studied the genetic variations underlying NSCLC pathogenesis based on their association to patient outcome after gemcitabine therapy. Results: Bioinformatics analysis was used to investigate possible effects of POLA2 G583R (POLA2+1747 GG/GA, dbSNP ID: rs487989) in terms of protein function. Using biostatistics, POLA2+1747 GG/GA (rs487989, POLA2 G583R) was identified as strongly associated with mortality rate and survival time among NSCLC patients. It was also shown that POLA2+1747 GG/GA is functionally significant for protein localization via green fluorescent protein (GFP)-tagging and confocal laser scanning microscopy analysis. The single nucleotide polymorphism (SNP) causes DNA polymerase alpha subunit B to localize in the cytoplasm instead of the nucleus. This inhibits DNA replication in cancer cells and confers a protective effect in individuals with this SNP. Conclusions: The results suggest that POLA2+1747 GG/GA may be used as a prognostic biomarker of patient outcome in NSCLC pathogenesis. © 2014 Mah et al.;licensee BioMed Central Ltd.

关键词： Biomarker Genetic variant Mortality Non-small cell lung cancer Survival Outcome

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Sentiment classification in Persian: Introducing a mutual information-based method for feature selection

Sentiment classification in Persian: Introducing a mutual in...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Ayoub Bagheri Mohamad Saraee Franciska de Jong Intelligent Database Data Mining and Bioinformatics Laboratory Electrical and Computer Engineering Department Isfahan University of Technology Isfahan Iran School of Computing Science and Engineering University of Salford Manchester UK Human Media Interaction University of Twente Enschede Netherlands

With the enormous growth of online reviews in Internet, sentiment analysis has received more and more attention in information retrieval and natural language processing community. Up to now there are very few researches conducted on sentiment analysis for Persian documents. This paper considers the problem of sentiment classification for online customer reviews in Persian language. One of the challenges of Persian language is using of a wide variety of declensional suffixes. Another common problem of Persian text is word spacing. In Persian in addition to white space as interwords space, an intra-word space called pseudo-space separates word's part. One more noticeable challenge in customer reviews in Persian language is that of utilizing many informal or colloquial words in text. In this paper we study these challenges by proposing a model for sentiment classification of Persian review documents. The proposed model is based on a lemmatization approach for Persian language and is employed Naive Bayes learning algorithm for classification. Additionally we present a new feature selection method based on the mutual information method to extract the best feature collection from the initial extracted features. Finally we evaluate the performance of the model on a manually gathered collection of cellphone reviews, where the results show the effectiveness of the proposed model.

关键词： Feature extraction Mathematical model Classification algorithms Equations Mutual information Training data mining

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A Generic Construction of Proxy Signatures from Certificateless Signatures

A Generic Construction of Proxy Signatures from Certificatel...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Lei Zhang Qianhong Wu Bo Qin Josep Domingo-Ferrer Peng Zeng Jianwei Liu Ruiying Du Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China UNESCO Chair in Data Privacy Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Tarragona Spain Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Computer Wuhan University China Department of Maths School of Science Xi'an University of Technology China School of Electronic and Information Engineering Beijing University of Aeronautics and Astronautics China

The primitive of proxy signatures allows the original signer to delegate proxy signers to sign on messages on behalf of the original signer. It has found numerous applications in distributed computing scenarios where delegation of signing rights is common. Certificate less public key cryptography eliminates the complicated certificates in traditional public key cryptosystems without suffering from the key escrow problem in identity-based public key cryptography. In this paper, we reveal the relationship between the two important primitives of proxy signatures and certificate less signatures and present a generic conversion from the latter to the former. Following the generic transformation, we propose an efficient proxy signature scheme with a recent certificate less signature scheme.

关键词： Artificial intelligence Bismuth Games Public key cryptography Educational institutions

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ERRATUM: 'THE SECOND CATALOG OF ACTIVE GALACTIC NUCLEI DETECTED BY THE FERMI LARGE AREA TELESCOPE' (2011, ApJ, 743, 171)

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The Astrophysical Journal 2015年第1期806卷

作者： M. Ackermann M. Ajello A. Allafort E. Antolini W. B. Atwood M. Axelsson L. Baldini J. Ballet G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini B. Berenji R. D. Blandford E. D. Bloom E. Bonamente A. W. Borgland E. Bottacini A. Bouvier J. Bregeon M. Brigida P. Bruel R. Buehler T. H. Burnett S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo J. M. Casandjian E. Cavazzuti C. Cecchi E. Charles C. C. Cheung J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad L. Costamante S. Cutini A. de Angelis F. de Palma C. D. Dermer S. W. Digel E. do Couto e Silva P. S. Drell R. Dubois L. Escande C. Favuzzi S. J. Fegan E. C. Ferrara J. Finke W. B. Focke P. Fortin M. Frailis Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini N. Gehrels S. Germani B. Giebels N. Giglietto P. Giommi F. Giordano M. Giroletti T. Glanzman G. Godfrey I. A. Grenier J. E. Grove S. Guiriec M. Gustafsson D. Hadasch M. Hayashida E. Hays S. E. Healey D. Horan X. Hou R. E. Hughes G. Iafrate G. Jóhannesson A. S. Johnson W. N. Johnson T. Kamae H. Katagiri J. Kataoka J. Knödlseder M. Kuss J. Lande S. Larsson L. Latronico F. Longo F. Loparco B. Lott M. N. Lovellette P. Lubrano G. M. Madejski M. N. Mazziotta W. McConville J. E. McEnery P. F. Michelson W. Mitthumsiri T. Mizuno A. A. Moiseev C. Monte M. E. Monzani E. Moretti A. Morselli I. V. Moskalenko S. Murgia T. Nakamori M. Naumann-Godo P. L. Nolan J. P. Norris E. Nuss M. Ohno T. Ohsugi A. Okumura N. Omodei M. Orienti E. Orlando J. F. Ormes M. Ozaki D. Paneque D. Parent M. Pesce- Rollins M. Pierbattista S. Piranomonte F. Piron G. Pivato T. A. Porter S. Rainò R. Rando M. Razzano S. Razzaque A. Reimer O. Reimer S. Ritz L. S. Rochester R. W. Romani M. Roth D. A. Sanchez C. Sbarra J. D. Scargle T. L. Schalk C. SGRO M. S. Shaw E. J. Siskind G. Spandre P. Spinelli A. W. Strong D. J. Suson H. Tajima H. Takahashi T. Takahashi T. Tanaka J. G. Thayer J. B. Thayer D. J. Thompson L. Tibaldo M. Tinivella D. F. Torres G. Tosti E. Troja Y. Uchiyama J. Vandenbroucke V. Vasileiou G. Vianello V. Vitale A. P. Waite E. Walla W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford CA 94305 USA Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Santa Cruz Institute for Particle Physics Department of Physics and Department of Astronomy and Astrophysics University of California at Santa Cruz Santa Cruz CA 95064 USA Department of Astronomy Stockholm University SE-106 91 Stockholm Sweden The Oskar Klein Centre for Cosmoparticle Physics AlbaNova SE-106 91 Stockholm Sweden Department of Physics Royal Institute of Technology (KTH) AlbaNova SE-106 91 Stockholm Sweden Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d'Astrophysique CEA Saclay 91191 Gif sur Yvette France Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica 'G. Galilei' Università di Padova I-35131 Padova Italy Dipartimento di Fisica 'M. Merlin' dell'Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Department of Physics University of Washington Seattle WA 98195-1560 USA Institut de Ciències de l'Espai (IEEE-CSIC) Campus UAB 08193 Barcelona Spain INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Agenzia Spaziale Italiana (ASI) Science Data Center I-00044 Frascati (Roma) Italy National Research Council Research Associate National Academy of Sciences Washington DC 20001 USA ASI Science Data Center I-00044 Frascati (Roma)

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The AAAI-13 conference workshops

The AAAI-13 conference workshops

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作者： Agrawal, Vikas Archibald, Christopher Bhatt, Mehul Bui, Hung Cook, Diane J. Cortés, Juan Geib, Christopher Gogate, Vibhav Guesgen, Hans W. Jannach, Dietmar Johanson, Michael Kersting, Kristian Konidaris, George Kotthoff, Lars Michalowski, Martin Natarajan, Sriraam O'Sullivan, Barry Pickett, Marc Podobnik, Vedran Poole, David Shastri, Lokendra Shehu, Amarda Sukthankar, Gita IBM Research India Mississippi State University United States University of Bremen Germany Laboratory for Natural Language Understanding Sunnyvale CA United States Washington State University United States University of Toulouse France Drexel University United States Department of Computer Science University of Texas Dallas United States Massey University New Zealand TU Dortmund Germany University of Alberta in Edmonton Canada Fraunhofer IAIS and the University of Bonn Germany MIT United States INSIGHT Centre for Data Analytics University College Cork Ireland Adventium Labs Minneapolis MN United States Indiana University Bloomington IN United States Naval Research Laboratory Washington DC United States Telecommunication Department of the Faculty of Electrical Engineering and Computing University of Zagreb Croatia Department of Computer Science University of British Columbia Vancouver Canada Infosys India George Mason University United States University of Central Florida United States

The AAAI-13 Workshop Program, a part of the 27th AAAI Conference on Artificial Intelligence, was held Sunday and Monday, July 14-15, 2013, at the Hyatt Regency Bellevue Hotel in Bellevue, Washington, USA. The program included 12 workshops covering a wide range of topics in artificial intelligence, including Activity Context-Aware System Architectures (WS-13-05);Artificial Intelligence and Robotics Methods in Computational Biology (WS-13-06);Combining Constraint Solving with Mining and Learning (WS-13-07);Computer Poker and Imperfect Information (WS-13-08);Expanding the Boundaries of Health Informatics Using Artificial Intelligence (WS-13-09);Intelligent Robotic Systems (WS-13-10);Intelligent Techniques for Web Personalization and Recommendation (WS- 13-11);Learning Rich Representations from Low-Level Sensors (WS-13-12);Plan, Activity, and Intent Recognition (WS-13-13);Space, Time, and Ambient Intelligence (WS-13-14);Trading Agent Design and Analysis (WS-13-15);and Statistical Relational Artificial Intelligence (WS-13-16). Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： data mining

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Lossless entropy based compression for medical images

Lossless entropy based compression for medical images

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International Symposia on Imaging and Signal Processing in Health Care and Technology, ISPHT 2012

作者： Clemons, Tyler Yin, Jian Department of Computer Science and Engineering Ohio State University Columbus OH United States Data Intensive Scientific Computing Pacific Northwest National Laboratory Richland WA United States

ISBN: (纸本)9780889869202

High Resolution Medical Images provide a useful visual and analytic tool to medical professionals. These images often require substantial disk space and thus may provide bottlenecks in I/O access and network transmission, and create a challenge for disk storage capacity. These problems can be mitigated by using compression algorithms that not only reduce the storage requirements of the data files, but can do so quickly as to meet real time workloads. We present a lossless entropy based compression scheme that achieves both of these goals for medical image data. We demonstrate the effectiveness of our lossless algorithm using a medical image dataset and compare its performance with other lossless compression techniques. Our method provides competitive compression ratios without sacrificing real-time performance.

关键词： Medical image processing

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Inferred Cosmic-Ray Spectrum from Fermi Large Area Telescope γ-Ray Observations of Earth’s Limb

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Physical Review Letters 2014年第15期112卷 151103-151103页

作者： M. Ackermann M. Ajello A. Albert A. Allafort L. Baldini G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini R. D. Blandford E. D. Bloom E. Bonamente E. Bottacini A. Bouvier T. J. Brandt M. Brigida P. Bruel R. Buehler S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo C. Cecchi E. Charles R. C. G. Chaves A. Chekhtman J. Chiang G. Chiaro S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad S. Cutini M. Dalton F. D’Ammando A. de Angelis F. de Palma C. D. Dermer S. W. Digel L. Di Venere E. do Couto e Silva P. S. Drell A. Drlica-Wagner C. Favuzzi S. J. Fegan E. C. Ferrara W. B. Focke A. Franckowiak Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini S. Germani N. Giglietto F. Giordano M. Giroletti T. Glanzman G. Godfrey G. A. Gomez-Vargas I. A. Grenier J. E. Grove S. Guiriec M. Gustafsson D. Hadasch Y. Hanabata A. K. Harding M. Hayashida K. Hayashi J. W. Hewitt D. Horan X. Hou R. E. Hughes Y. Inoue M. S. Jackson T. Jogler G. Jóhannesson A. S. Johnson T. Kamae T. Kawano J. Knödlseder M. Kuss J. Lande S. Larsson L. Latronico F. Longo F. Loparco M. N. Lovellette P. Lubrano M. Mayer M. N. Mazziotta J. E. McEnery J. Mehault P. F. Michelson W. Mitthumsiri T. Mizuno A. A. Moiseev C. Monte M. E. Monzani A. Morselli I. V. Moskalenko S. Murgia R. Nemmen E. Nuss T. Ohsugi A. Okumura M. Orienti E. Orlando J. F. Ormes D. Paneque J. H. Panetta J. S. Perkins M. Pesce-Rollins F. Piron G. Pivato T. A. Porter S. Rainò R. Rando M. Razzano S. Razzaque A. Reimer O. Reimer S. Ritz M. Roth M. Schaal A. Schulz C. Sgrò E. J. Siskind G. Spandre P. Spinelli A. W. Strong H. Takahashi Y. Takeuchi J. G. Thayer J. B. Thayer D. J. Thompson L. Tibaldo M. Tinivella D. F. Torres G. Tosti E. Troja V. Tronconi T. L. Usher J. Vandenbroucke V. Vasileiou G. Vianello V. Vitale M. Werner B. L. Winer K. S. Wood M. Wood Z. Yang Deutsches Elektronen Synchrotron DESY D-15738 Zeuthen Germany Space Sciences Laboratory 7 Gauss Way University of California Berkeley California 94720-7450 USA W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford California 94305 USA Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica e Astronomia “G. Galilei” Università di Padova I-35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Santa Cruz Institute for Particle Physics Department of Physics and Department of Astronomy and Astrophysics University of California at Santa Cruz Santa Cruz California 95064 USA NASA Goddard Space Flight Center Greenbelt Maryland 20771 USA Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Consorzio Interuniversitario per la Fisica Spaziale (CIFS) I-10133 Torino Italy INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d’Astrophysique CEA Saclay 91191 Gif sur Yvette France Center for Earth Observing and Space Research College of Science George Mason University Fairfax Virginia 22030 USA Agenzia Spaziale Italiana (ASI) Science Data Center I-00044 Frascati (Roma) Italy Istituto Nazionale di Astrofisica - Osservatorio Astronomico di Roma I-00040 Monte Porzio Catone (Roma)

Recent accurate measurements of cosmic-ray (CR) species by ATIC-2, CREAM, and PAMELA reveal an unexpected hardening in the proton and He spectra above a few hundred GeV, a gradual softening of the spectra just below a few hundred GeV, and a harder spectrum of He compared to that of protons. These newly discovered features may offer a clue to the origin of high-energy CRs. We use the Fermi Large Area Telescope observations of the γ-ray emission from Earth’s limb for an indirect measurement of the local spectrum of CR protons in the energy range ∼90 GeV–6 TeV (derived from a photon energy range 15 GeV–1 TeV). Our analysis shows that single power law and broken power law spectra fit the data equally well and yield a proton spectrum with index 2.68±0.04 and 2.61±0.08 above ∼200 GeV, respectively.

关键词： COSMIC rays ASTROPHYSICAL radiation EARTH (Planet) PHOTONS POWER law (Mathematics)

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Topology exploration with hierarchical landscapes

Topology exploration with hierarchical landscapes

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Workshop at SIGGRAPH Asia 2012, WASA 2012

作者： Demir, Dogan Beketayev, Kenes Weber, Gunther H. Bremer, Peer-Timo Pascucci, Valerio Hamann, Bernd Scientific Computing and Imaging Institute School of Computing University of Utah United States Computational Research Divisition Lawrence Berkeley National Laboratory United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Institute for Data Analysis and Visualization Computer Science Department University of California Davis CA United States

ISBN: (纸本)9781450318358

Topological landscapes have been proposed as a visual metaphor for contour trees that does not require an understanding of the theory involved in defining contour trees. The idea is to create a representative terrain with the same topological structure as a given contour tree. This representation exploits the natural human ability to interpret topography and results in an intuitive visualization of otherwise abstract information. However, topological landscapes still suffer from some of the same limitations as traditional contour tree visualization. Most notable is the fact that for complex functions landscapes can quickly become highly complex, exceeding the limits of human comprehension as well as the available computing resources. To address this challenge, we propose a new framework for the dynamic creation and visualization of hierarchical topological landscapes. Our system provides an interactive visualization of complex functions by utilizing a hierarchical decomposition of the contour tree as well as focus+context type interactions. For three dimensional data, we link the landscape display to flexible isosurface extraction in order to correlate terrain features with their corresponding three dimensional counterparts. We demonstrate the utility and versatility of our approach on a variety of both low and high dimensional data sets. © 2012 ACM.

关键词： Visualization

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