检索结果-内蒙古大学图书馆

Erratum: Morphology and environment of galaxies with disc breaks in the S4G and NIRS0S

Monthly Notices of the Royal Astronomical Society 2015年第1期456卷 844-844页

作者： J. Laine E. Laurikainen H. Salo S. Comerón R. J. Buta D. Zaritsky E. Athanassoula A. Bosma J–C. Muñoz–Mateos D. A. Gadotti J. L. Hinz S. Erroz–Ferrer A. Gil de Paz T. Kim K. Menéndez–Delmestre T. Mizusawa M. W. Regan M. Seibert K. Sheth Astronomy Division Department of Physics University of Oulu PO Box 3000 FI-90014 Oulu Finland Finnish Centre of Astronomy with ESO (FINCA) University of Turku Väisäläntie 20 FI-21500 Piikkiö Finland Department of Physics and Astronomy University of Alabama Box 870324 Tuscaloosa AL 35487 USA University of Arizona 933 North Cherry Avenue Tucson AZ 85721 USA LAM (Laboratoire d'Astrophysique de Marseille) Aix Marseille Universite CNRS UMR 7326 F-13388 Marseille France European Southern Observatory Casilla 19001 Santiago 19 Chile National Radio Astronomy Observatory/NAASC 520 Edgemont Road Charlottesville VA 22903 USA MMTO University of Arizona 933 North Cherry Avenue Tucson AZ 85721 USA Instituto de Astrofísica de Canarias Vía Lácteas/n E-38205 La Laguna Spain Departamento de Astrofísica Universidad de La Laguna E-38206 La Laguna Spain Departamento de Astrofísica Universidad Complutense de Madrid E-28040 Madrid Spain Astronomy Program Department of Physics and Astronomy Seoul National University Seoul 151-742 Korea Universidade Federal do Rio de Janeiro Observatório do Valongo Ladeira Pedro Antônio 43 CEP 20080-090 Rio de Janeiro Brazil Florida Institute of Technology Melbourne FL 32901 USA Space Telescope Science Institute 3700 San Martin Drive Baltimore MD 21218 USA The Observatories of the Carnegie Institution of Washington 813 Santa Barbara Street Pasadena CA 91101 USA

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral band referencing based on correlation structure

Hyperspectral band referencing based on correlation structur...

引用

2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012

作者： Ahmed, Ayman Mahmoud Elramly, Salwa Sharkawy, Mohamed El. Egyptian Space Program National Authorty for Remote Sensing and Space Science Cairo Egypt Department of Electronics and Communication Engineering Ain-Shams University Cairo Egypt E-JUST-Egypt-Japan University of Science and Technology New Borg El Arab Alexandria Egypt

ISBN: (纸本)9781467331432

Hyperspectral imaging has been widely studied in many applications;notably in climate changes, vegetation, and desert studies. However, such kind of imaging brings a huge amount of data, which requires transmission, processing, and storage resources for both airborne and space borne imaging. Compression of hyperspectral data cubes is an effective solution for these problems. Lossless compression of the hyperspectral data usually results in low compression ratio, which may not meet the available resources;on the other hand, lossy compression may give the desired ratio, but with a significant degradation effect on object identification performance of the hyperspectral data. Moreover, most hyperspectral data compression techniques exploits the similarities in spectral dimensions;which requires bands reordering or regrouping, to make use of the spectral redundancy. In this paper, we analyze the spectral cross correlation between bands for AVIRIS and Hyperion hyperspectral data;spectral cross correlation matrix is calculated, assessing the strength of the spectral matrix, and finally, we propose new technique to find highly correlated groups of bands in the hyperspectral data cube based on 'inter band correlation square' referencing. © 2012 IEEE.

关键词： Hyperspectral imaging

来源：评论

学校读者我要写书评

暂无评论

Cloud classification with land cover information in MODIS data

Cloud classification with land cover information in MODIS da...

引用

33rd Asian Conference on Remote Sensing 2012, ACRS 2012

作者： Lee, Pin-Yi Ren, Hsuan Liu, Chian-Yi Science Program in Remote Sensing Science and Technology National Central University No. 300 Jhongda Rd. Jhongli City 32001 Taiwan Center for Space and Remote Sensing Research National Central University No. 300 Jhongda Rd. Jhongli City 32001 Taiwan

ISBN: (纸本)9781622769742

Discrimination between cloudy and clear-sky areas poses an important issue for satellite remote sensing because clouds have a large impact on radiance. It is necessary to distinguish cloudy areas from clear ones before further analysis of the images. Many algorithms have been proposed for cloud classification. Ackerman has developed an algorithm in 1998, referred to as MOD35, for operational cloud mask data of MODIS observation. MOD35 consists of many threshold tests with static threshold values. For the land cover types, it considered four possible surface-type processing paths: land, water, desert, or coast. If multiple surface-types are assigned to one pixel, the algorithm chooses the most important characteristic for the cloud masking process, and the precedence are coast, desert, land or water. In this study, we modify this algorithm in two aspects. First, we further classify the land into vegetated area, urban and bare soil area. Secondly, we consider each pixel as mixed pixel of different surface-types and perform spectral unmixing. The preference of surface-types will depend on their abundance in that pixel. The comparison of experimental results will be conducted with MODIS data.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral band referencing based on correlation structure

Hyperspectral band referencing based on correlation structur...

引用

IEEE International Conference on Control System, Computing and Engineering (ICCSCE)

作者： Ayman Mahmoud Ahmed Salwa ElRamly Mohamed El. Sharkawy Egyptian Space Program National Authority for Remote Sensing and Space Sciences Cairo Egypt Egyptian Space Program National Authorty for Remote Sensing and Space science Cairo Egypt Department of Electronics and Communication Engineering Ain-Shams University Cairo Egypt E-JUST–Egypt-Japan University of science and technology Alexandria Egypt

Hyperspectral imaging has been widely studied in many applications; notably in climate changes, vegetation, and desert studies. However, such kind of imaging brings a huge amount of data, which requires transmission, processing, and storage resources for both airborne and space borne imaging. Compression of hyperspectral data cubes is an effective solution for these problems. Lossless compression of the hyperspectral data usually results in low compression ratio, which may not meet the available resources; on the other hand, lossy compression may give the desired ratio, but with a significant degradation effect on object identification performance of the hyperspectral data. Moreover, most hyperspectral data compression techniques exploits the similarities in spectral dimensions; which requires bands reordering or regrouping, to make use of the spectral redundancy. In this paper, we analyze the spectral cross correlation between bands for AVIRIS and Hyperion hyperspectral data; spectral cross correlation matrix is calculated, assessing the strength of the spectral matrix, and finally, we propose new technique to find highly correlated groups of bands in the hyperspectral data cube based on “inter band correlation square” referencing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dark matter constraints from observations of 25 Milky Way satellite galaxies with the Fermi Large Area Telescope

引用

Physical Review D 2014年第4期89卷 042001-042001页

作者： M. Ackermann A. Albert B. Anderson L. Baldini J. Ballet G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini E. Bissaldi E. D. Bloom E. Bonamente A. Bouvier T. J. Brandt J. Bregeon M. Brigida P. Bruel R. Buehler S. Buson G. A. Caliandro R. A. Cameron M. Caragiulo P. A. Caraveo C. Cecchi E. Charles A. Chekhtman J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad F. D’Ammando A. de Angelis C. D. Dermer S. W. Digel E. do Couto e Silva P. S. Drell A. Drlica-Wagner R. Essig C. Favuzzi E. C. Ferrara A. Franckowiak Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini N. Giglietto M. Giroletti G. Godfrey G. A. Gomez-Vargas I. A. Grenier S. Guiriec M. Gustafsson M. Hayashida E. Hays J. Hewitt R. E. Hughes T. Jogler T. Kamae J. Knödlseder D. Kocevski M. Kuss S. Larsson L. Latronico M. Llena Garde F. Longo F. Loparco M. N. Lovellette P. Lubrano G. Martinez M. Mayer M. N. Mazziotta P. F. Michelson W. Mitthumsiri T. Mizuno A. A. Moiseev M. E. Monzani A. Morselli I. V. Moskalenko S. Murgia R. Nemmen E. Nuss T. Ohsugi E. Orlando J. F. Ormes J. S. Perkins F. Piron G. Pivato T. A. Porter S. Rainò R. Rando M. Razzano S. Razzaque A. Reimer O. Reimer S. Ritz M. Sánchez-Conde N. Sehgal C. Sgrò E. J. Siskind P. Spinelli L. Strigari D. J. Suson H. Tajima H. Takahashi J. B. Thayer L. Tibaldo M. Tinivella D. F. Torres Y. Uchiyama T. L. Usher J. Vandenbroucke G. Vianello V. Vitale M. Werner B. L. Winer K. S. Wood M. Wood G. Zaharijas S. Zimmer Deutsches Elektronen Synchrotron DESY D-15738 Zeuthen Germany 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 Department of Physics Stockholm University AlbaNova SE-106 91 Stockholm Sweden The Oskar Klein Centre for Cosmoparticle Physics AlbaNova SE-106 91 Stockholm Sweden Università di Pisa and 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 e Astronomia “G. Galilei ” Università di Padova I-35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Istituto Nazionale di Fisica Nucleare Sezione di Trieste and Università di Trieste I-34127 Trieste 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 INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Center for Earth Observing and Space Research College of Science George Mason University Fairfax Virginia 22030

The dwarf spheroidal satellite galaxies of the Milky Way are some of the most dark-matter-dominated objects known. Due to their proximity, high dark matter content, and lack of astrophysical backgrounds, dwarf spheroidal galaxies are widely considered to be among the most promising targets for the indirect detection of dark matter via γ rays. Here we report on γ-ray observations of 25 Milky Way dwarf spheroidal satellite galaxies based on 4 years of Fermi Large Area Telescope (LAT) data. None of the dwarf galaxies are significantly detected in γ rays, and we present γ-ray flux upper limits between 500 MeV and 500 GeV. We determine the dark matter content of 18 dwarf spheroidal galaxies from stellar kinematic data and combine LAT observations of 15 dwarf galaxies to constrain the dark matter annihilation cross section. We set some of the tightest constraints to date on the annihilation of dark matter particles with masses between 2 GeV and 10 TeV into prototypical standard model channels. We find these results to be robust against systematic uncertainties in the LAT instrument performance, diffuse γ-ray background modeling, and assumed dark matter density profile.

关键词： DWARF galaxies MILKY Way DARK matter (Astronomy) ANNIHILATION reactions TELESCOPES

来源：评论

学校读者我要写书评

暂无评论

Corrigendum: Rapid and highly sensitive detection of Enterovirus 71 by using nanogold-enhanced electrochemical impedance spectroscopy

引用

Nanotechnology 2013年第39期24卷

作者： Hsing-Yuan Li Shing-Hua Tseng Tsai-Mu Cheng Hsueh-Liang Chu Yu-Ning Lu Fang-Yu Wang Li-Yun Tsai Juo-Yu Shieh Jyh-Yuan Yang Chien-Chang Juan Lung-Chen Tu Chia-Ching Chang Department of Biological Science and Technology National Chiao Tung University Hsinchu Taiwan Department of Pediatrics National Taiwan University Hospital Hsinchu Branch Hsinchu Taiwan The PhD Program for Translational Medicine Taipei Medical University and Academia Sinica Taiwan Institute of Biomedical Sciences Academia Sinica Taiwan Department of Health Research and Diagnostic Center Centers for Disease Control Taipei Taiwan Department of Pediatrics National Yang-Ming University School of Medicine Ilan branch Taiwan Department of Plastic Surgery Mackay Memorial Hospital Taipei Taiwan Institute of Physics Academia Sinica Taiwan

The full text of this article is available in the PDF provided.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Q&A

引用

Design Management Review 2014年第1期25卷

作者： Woodie Flowers Sarah Stein Greenberg Richard K. Miller Srikant M. Datar Pappalardo Professor Emeritus of mechanical engineering at the Massachusetts Institute of Technology. He helped create MIT's renowned INTRODUCTION TO DESIGN COURSE. Flowers also received national recognition in his role as host for the PBS television series Scientific American Frontiers from 1990 to 1993 and received a New England EMMY Award for a special PBS program on design. He is a member of the National Academy of Engineering a Fellow of the American Association for the Advancement of Science and of the American Society of Mechanical Engineering and has received three honorary doctorates. He is a MacVicar Faculty Fellow for extraordinary contributions to undergraduate education at MIT where he is a member of the faculty advisory committee for MITX the Massachusetts Innovation & Technology Exchange. He was also the inaugural recipient of the Woodie Flowers Award from FIRST (For Inspiration and Recognition of Science and Technology). He recently received the Edward F. Church Medal and the Spira Outstanding Design Educator Award from ASME. Currently Flowers is a director or scientific advisor for four companies. He is also national advisor and chairman of the executive advisor board for FIRST. Has been managing director of the Hasso Plattner Institute of Design at Stanford University (also known as the d.school) since 2010. Previously she worked in the innovation practice of Monitor Group in the US and India and advised multinational companies on developing innovation capabilities. Her background includes developing new products and services in a number of emerging markets in Asia and Africa. In the classroom Stein Greenberg has co‐taught the d.school's foundational class Design Thinking Bootcamp and its renowned course on design for the developing world Entrepreneurial Design for Extreme Affordability. She recently launched an experimental new program featuring short‐format “pop‐up” classes. She holds an MBA from Stanford University and a BA in history from Oberlin College. Among other pursuits she s

Being a “gracious professional” is the key to leadership, whether you’re an engineer, a scientist, or an MIT professor. As managing director of Stanford University's ***, this Renaissance woman spends her time developing “adaptive learners.” Olin College's first president (and first employee) has plenty to say about engineering—and education. Rethinking the MBA at Harvard Business School.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Simultaneous identification for synergistic transcription factors and their transcription factor binding sites

Simultaneous identification for synergistic transcription fa...

引用

5th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2011

作者： Tsai, Zing Tsung-Yeh Huang, Grace Tzu-Wei Tsai, Huai-Kuang Institute of Information Science Academia Sinica Taipei 115 Taiwan Bioinformatics Program Taiwan International Graduate Program Taiwan Institute of Biomedical Informatics National Yang-Ming University Taiwan Joint CMU-Pitt PhD Program in Computational Biology University of Pittsburgh Carnegie Mellon University Pittsburgh PA United States Research Center for Information Technology Innovation Taipei 115 Taiwan Computer Science and Engineering National Taiwan Ocean University Keelung 202 Taiwan

ISBN: (纸本)9780769543734

Identifying transcription factor binding sites (TFBSs) is crucial for understanding the mechanism of transcriptional regulation. It is known that transcription factors (TFs) often cooperate to regulate genes. While traditional approaches can be used to discover binding motifs of a group of co-regulated genes, they often fail to accurately assign motifs to the corresponding TFs. Here, we consider two TFs together to infer their TFBSs and their synergistic relationship simultaneously. The basic idea is that if two TFs interact, their TFBSs, if distinct, would be conserved across species and coincided in the promoter regions of the genes they co-regulated. Applying our method to Saccharomyces cerevisiae chromatin immunoprecipitation data, we predicted 110 TF pairs with statistically significant motif assignments. A majority of these TF pairs have literature support to be synergistic, and the designated motifs to TFs match well with their known consensus. We further examined the synergism of predicted TF pairs in seven experimental conditions using ANOVA, and identified significant interactions. © 2011 IEEE.

关键词： Yeast

来源：评论

学校读者我要写书评

暂无评论

Estimate the number of Gaussian for full waveform LIDAR signals

Estimate the number of Gaussian for full waveform LIDAR sign...

引用

第五届海峡两岸遥感遥测会议

作者： Tsu-Chi Ma Hsuan Ren Master student Science Program in Remote Sensing Science and Technology National Central Universit Associate Professor Center for Space and Remote Sensing ResearchNational Central University No.30

In the last few decades, remote sensing techniques has become efficient and economical approaches for forest area analysis, including aerial photogrammetry, satellite imagery, SAR(synthetic aperture radar) and LIDAR (Light Detection and Ranging). From the above several methods, only LIDAR can provide information of the tree structures which is very useful for forest analysis. In antithesis to conventional airborne multi-echo LIDAR, full-waveform LIDAR systems are able to record the whole emitted and backscattered signal of each laser pulse. These full waveform LIDAR signals can be considered as Gaussian mixture and each Gaussian can be thought as substructure of the tree. The Gaussian mixture problem can be solved by Gaussian decomposition, however, using Gaussian decomposition must known a prior I first,so it can get the number of Gaussian,but it ’s usually unavailable. In this study, we propound a method to estimate the number of Gaussian by Empirical Mode Decomposition and both synthetic and real data is adopted for performance analysis.

关键词： LIDAR, full-waveform, Gaussian mixture, Empirical Mode Decomposition

来源：评论

学校读者我要写书评

暂无评论

A FUZZY AFFINITY PROPAGATION CLASSIFICATION FOR HYPERSPECTRAL REMOTELY SENSED IMAGES

A FUZZY AFFINITY PROPAGATION CLASSIFICATION FOR HYPERSPECTRA...

引用

第五届海峡两岸遥感遥测会议

作者： Cheng-Chun Dai Hsuan Ren Science Program in Remote Sensing Science and Technology National Central University No.300 Jhongd Center for Space and Remote Sensing Research National Central University No.300 Jhongda Rd. Jhon

Due to the improvement of remote sensing instruments, hyperspectral sensors can collect hundreds of channels simultaneously compares to multispectral imagery usually with less than ten channels. How to process this huge amount of data is a challenge problem, especially when the spectra of the land-covers are unavailable. In this study, we propose a fuzzy affinity propagation method for image classification. Affinity propagation is a clustering algorithm has fast execution speed and finds clusters with small error. Different distance measures can be used to estimate of how closely two pixel vectors resemble each other. After the affinity propagation clustering, a fuzzy classification is applied for soft classification based on the distance of every pixel vectors to each cluster. An AVIRIS image scene is adopted in experiment to demonstrate the capability of the proposed method.

关键词： Affinity propagation (AP) fuzzy classification unsupervised classification.

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：