The Experts below are selected from a list of 228 Experts worldwide ranked by ideXlab platform
Chonggang Wang - One of the best experts on this subject based on the ideXlab platform.
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Connectivity-Based Boundary Extractionof Large-Scale 3D Sensor Networks:Algorithm and Applications
IEEE Transactions on Parallel and Distributed Systems, 2014Co-Authors: Hongbo Jiang, Shengkai Zhang, Guang Tan, Chonggang WangAbstract:Sensor Networks are invariably coupled tightly with the geometric environment in which the sensor nodes are deployed. Network Boundary is one of the key features that characterize such environments. While significant advances have been made for 2D cases, so far Boundary extraction for 3D sensor Networks has not been thoroughly studied. We present CABET, a novel Connectivity-Based Boundary Extraction scheme for large-scale 3D sensor Networks. To the best of our knowledge, CABET is the first 3D-capable and pure connectivity-based solution for detecting sensor Network boundaries. It is fully distributed, and is highly scalable, requiring overall message cost linear with the Network size. A highlight of CABET is its non-uniform critical node sampling , called r'-sampling , that selects landmarks to form Boundary surfaces with bias toward nodes embodying salient topological features. Simulations show that CABET is able to extract a well-connected Boundary in the presence of holes and shape variation, with performance superior to that of some state-of-the-art alternatives. In addition, we show how CABET benefits a range of sensor Network applications including 3D skeleton extraction, 3D segmentation, and 3D localization.
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INFOCOM - CABET: Connectivity-based Boundary extraction of large-scale 3D sensor Networks
2011 Proceedings IEEE INFOCOM, 2011Co-Authors: Hongbo Jiang, Shengkai Zhang, Guang Tan, Chonggang WangAbstract:Sensor Networks are invariably coupled tightly with the geometric environment in which the sensor nodes are deployed. Network Boundary is one of the key features that characterize such environments. While significant advances have been made for 2D cases, so far Boundary extraction for 3D sensor Networks has not been thoroughly studied. We present CABET, a novel Connectivity-bAsed Boundary Extraction scheme for large-scale Three-dimensional sensor Networks. To the best of our knowledge, CABET is the first 3Dcapable and pure connectivity-based solution for detecting sensor Network boundaries. It is fully distributed. A highlight of CABET is its non-uniform critical node sampling, called r r′-sampling, that selects landmarks to form Boundary surfaces with bias toward nodes embodying salient topological features. Simulations show that CABET is able to extract a well-connected Boundary in the presence of holes and shape variation, with performance superior to that of some state-of-the-art alternatives. In addition, we show how CABET benefits a range of sensor Network applications including 3D skeleton extraction and 3D segmentation.
N. Bellamine - One of the best experts on this subject based on the ideXlab platform.
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Transition-Region Network Boundaries in the Quiet Sun: Width Variation with Temperature as Observed with CDS on SOHO
The Astrophysical Journal, 1999Co-Authors: S. Patsourakos, Jean-claude Vial, A. H. Gabriel, N. BellamineAbstract:We report here the results of a study of the temperature variation of the Network Boundary thicknesses in the quiet-Sun transition region. A Fourier-based two-dimensional autocorrelation method has been applied to 240'' × 240'' rasters obtained in several transition-region lines by the CDS spectrometer on SOHO. The quantitative variation of the Network Boundary width with temperature has been obtained for the first time in a full two-dimensional field. It appears that Network boundaries have an almost constant width up to a temperature of about 105.4 K and then fan out rapidly at coronal temperatures. This expansion of the transition-region Network boundaries with temperature is found to be quantitatively in agreement with earlier theoretical models of the transition region.
Hongbo Jiang - One of the best experts on this subject based on the ideXlab platform.
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Connectivity-Based Boundary Extractionof Large-Scale 3D Sensor Networks:Algorithm and Applications
IEEE Transactions on Parallel and Distributed Systems, 2014Co-Authors: Hongbo Jiang, Shengkai Zhang, Guang Tan, Chonggang WangAbstract:Sensor Networks are invariably coupled tightly with the geometric environment in which the sensor nodes are deployed. Network Boundary is one of the key features that characterize such environments. While significant advances have been made for 2D cases, so far Boundary extraction for 3D sensor Networks has not been thoroughly studied. We present CABET, a novel Connectivity-Based Boundary Extraction scheme for large-scale 3D sensor Networks. To the best of our knowledge, CABET is the first 3D-capable and pure connectivity-based solution for detecting sensor Network boundaries. It is fully distributed, and is highly scalable, requiring overall message cost linear with the Network size. A highlight of CABET is its non-uniform critical node sampling , called r'-sampling , that selects landmarks to form Boundary surfaces with bias toward nodes embodying salient topological features. Simulations show that CABET is able to extract a well-connected Boundary in the presence of holes and shape variation, with performance superior to that of some state-of-the-art alternatives. In addition, we show how CABET benefits a range of sensor Network applications including 3D skeleton extraction, 3D segmentation, and 3D localization.
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INFOCOM - CABET: Connectivity-based Boundary extraction of large-scale 3D sensor Networks
2011 Proceedings IEEE INFOCOM, 2011Co-Authors: Hongbo Jiang, Shengkai Zhang, Guang Tan, Chonggang WangAbstract:Sensor Networks are invariably coupled tightly with the geometric environment in which the sensor nodes are deployed. Network Boundary is one of the key features that characterize such environments. While significant advances have been made for 2D cases, so far Boundary extraction for 3D sensor Networks has not been thoroughly studied. We present CABET, a novel Connectivity-bAsed Boundary Extraction scheme for large-scale Three-dimensional sensor Networks. To the best of our knowledge, CABET is the first 3Dcapable and pure connectivity-based solution for detecting sensor Network boundaries. It is fully distributed. A highlight of CABET is its non-uniform critical node sampling, called r r′-sampling, that selects landmarks to form Boundary surfaces with bias toward nodes embodying salient topological features. Simulations show that CABET is able to extract a well-connected Boundary in the presence of holes and shape variation, with performance superior to that of some state-of-the-art alternatives. In addition, we show how CABET benefits a range of sensor Network applications including 3D skeleton extraction and 3D segmentation.
K. P. Raju - One of the best experts on this subject based on the ideXlab platform.
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Variation in the Width of Transition Region Network Boundaries
Solar Physics, 2016Co-Authors: K. P. RajuAbstract:The transition region Network seen in solar extreme ultraviolet (EUV) lines is the extension of the chromospheric Network. The Network appears as an irregular web-like pattern over the solar surface outside active regions. The average width of transition region Network boundaries is obtained from the two-dimensional autocorrelation function of SOlar and Heliospheric Observatory (SOHO)/Coronal Diagnostic Spectrometer (CDS) synoptic images of the Sun in two emission lines, He i 586 A and O v 630 A during 1996 – 2012. The width of the Network boundaries is found to be roughly correlated with the solar cycle variation with a lag of about ten months. A comparison of the widths in the two emission lines shows that they are larger for the He i line. The SOHO/CDS data also show large asymmetry in Boundary widths in the horizontal (x) and vertical (y) image directions, which is shown to be caused by image distortions that are due to instrumental effects. Since the Network Boundary widths are related to the magnetic flux concentration along the boundaries, the results are expected to have implications on the flux transport on the solar surface, solar cycle, and the mass and energy budget of Network loops and jets.
S. Patsourakos - One of the best experts on this subject based on the ideXlab platform.
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Transition-Region Network Boundaries in the Quiet Sun: Width Variation with Temperature as Observed with CDS on SOHO
The Astrophysical Journal, 1999Co-Authors: S. Patsourakos, Jean-claude Vial, A. H. Gabriel, N. BellamineAbstract:We report here the results of a study of the temperature variation of the Network Boundary thicknesses in the quiet-Sun transition region. A Fourier-based two-dimensional autocorrelation method has been applied to 240'' × 240'' rasters obtained in several transition-region lines by the CDS spectrometer on SOHO. The quantitative variation of the Network Boundary width with temperature has been obtained for the first time in a full two-dimensional field. It appears that Network boundaries have an almost constant width up to a temperature of about 105.4 K and then fan out rapidly at coronal temperatures. This expansion of the transition-region Network boundaries with temperature is found to be quantitatively in agreement with earlier theoretical models of the transition region.