"... In PAGE 5: ... Nevertheless, they all demand balance between information content, aesthetics and performance. Table2 , below, brings out the characteristics of early, simple Web-based systems and current, advanced Web-based systems19. 2.... ..."

"... In PAGE 5: ... Nevertheless, they all demand balance between information content, aesthetics and performance. Table2 , below, brings out the characteristics of early, simple Web-based systems and current, advanced Web-based systems19. 2.... ..."

"... In PAGE 3: ... However, these issues will not be discussed here. Table 1 describes the general guidelines used in organizing Table4 . Note that we did not directly cover academic areas, and a more complete list (which included our industrial table) was produced by the Peta ops meeting [Peta:94a].... In PAGE 3: ... Here, \Info quot;, in InfoMall, refers to the information based application focus and \Mall quot; to the use of a virtual corporation (groups of \storeholders quot;) to produce the complex integrated applications enabled by HPCC. The rst column of Table4 contains the area label and some sample applications. There is also a pointer to Section 4, if appropriate.... In PAGE 7: ...Table4 : Industrial HPCC Applications 1 to 5: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 1 Computational PDE, FEM SIMD, MIMD for Sec. Fluid Dynamics Turbulence irregular adaptive 4.... In PAGE 8: ...Table4 : Industrial HPCC Applications 6 to 10: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 6 Environmental Empirical Models Some SIMD but Sec. Phenomenology Monte Carlo and MIMD more 4.... In PAGE 9: ...Table4 : Industrial HPCC Applications 11 to 13: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 11 Particle Transport Monte Carlo Methods Sec. Problems as in neutron MIMD 4.... In PAGE 10: ...Table4 : Industrial HPCC Applications 14 to 18: Information Analysis|\DataMining quot; Application Area Problem Machine Item and Examples Comments and Software 14 Seismic and Parallel Computers SIMD useful but Environmental already important MIMD might be Data Analysis but necessary No oil in New HPF York State 15 Image Processing Many commercial Metacomputer Sec. Medical Applications of Low Level 4.... In PAGE 12: ...Table4 : Industrial HPCC Applications 23 to 24 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand (Sec. 4.... In PAGE 13: ...Table4 : Information Integration Applications 25 to 28 These involve combinations of Information Production, Analysis, Access and Dis- semination and thus need the Integration of the various Software and Machines Architecture Issues discussed under previous application areas. Many need collaboration and \computational steering quot; technology correspond- ing to integration of computers, people, and instruments \in the loop.... In PAGE 14: ...Table4 : Information Integration Applications 29 to 33 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Authentication, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering (Sec.... In PAGE 14: ...3: Education (Sec. 4.5) Many commonalities with Application 25 InfoMall Living Schoolbook|6 Schools on ATM network linked to HPCC InfoVi- sion Servers at NPAC [Mills:95a] This paper is not intended to advocate a particular parallel software environment or lan- guage. Rather, we want to describe the broad capabilities of, and give examples of the parallel programming paradigm needed for the applications of Table4 . We believe that the program- ming functionality needed by a particular application is broadly determined by the problem architecture described in the following section.... In PAGE 21: ... Data parallelism occurs in large data mining sub-applications on servers with links to Java or VRML clients, that just handle visualization and interpretation modules. There were a few examples of metaproblems in our original survey, but a major part of Table4 , from our New York State activity, is the Information Integration classi cation. This class includes manufacturing and the applications 25{33, all examples of metaproblems.... In PAGE 32: ... These include processing sensor data (signal and image processing|Application 15) and simulations of such things as expected weather patterns and chemical plumes. In this way, many of the components (Applications 1 to 12 in Table4 ) are linked as part of this large metaproblem. One also needs large-scale multimedia databases with HPCC issues related to those described for InfoVISiON in Section 4.... ..."

"... In PAGE 3: ... However, these issues will not be discussed here. Table 1 describes the general guidelines used in organizing Table4 . Note that we did not directly cover academic areas, and a more complete list (which included our industrial table) was produced by the Peta ops meeting [Peta:94a].... In PAGE 3: ... Here, \Info quot;, in InfoMall, refers to the information based application focus and \Mall quot; to the use of a virtual corporation (groups of \storeholders quot;) to produce the complex integrated applications enabled by HPCC. The rst column of Table4 contains the area label and some sample applications. There is also a pointer to Section 4, if appropriate.... In PAGE 7: ...Table4 : Industrial HPCC Applications 1 to 5: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 1 Computational PDE, FEM SIMD, MIMD for Sec. Fluid Dynamics Turbulence irregular adaptive 4.... In PAGE 8: ...Table4 : Industrial HPCC Applications 6 to 10: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 6 Environmental Empirical Models Some SIMD but Sec. Phenomenology Monte Carlo and MIMD more 4.... In PAGE 9: ...Table4 : Industrial HPCC Applications 11 to 13: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 11 Particle Transport Monte Carlo Methods Sec. Problems as in neutron MIMD 4.... In PAGE 10: ...Table4 : Industrial HPCC Applications 14 to 18: Information Analysis|\DataMining quot; Application Area Problem Machine Item and Examples Comments and Software 14 Seismic and Parallel Computers SIMD useful but Environmental already important MIMD might be Data Analysis but necessary No oil in New HPF York State 15 Image Processing Many commercial Metacomputer Sec. Medical Applications of Low Level 4.... In PAGE 11: ...Table4 : Industrial HPCC Applications 19 to 22 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand (Sec. 4.... In PAGE 13: ...Table4 : Information Integration Applications 25 to 28 These involve combinations of Information Production, Analysis, Access and Dis- semination and thus need the Integration of the various Software and Machines Architecture Issues discussed under previous application areas. Many need collaboration and \computational steering quot; technology correspond- ing to integration of computers, people, and instruments \in the loop.... In PAGE 14: ...Table4 : Information Integration Applications 29 to 33 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Authentication, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering (Sec.... In PAGE 14: ...3: Education (Sec. 4.5) Many commonalities with Application 25 InfoMall Living Schoolbook|6 Schools on ATM network linked to HPCC InfoVi- sion Servers at NPAC [Mills:95a] This paper is not intended to advocate a particular parallel software environment or lan- guage. Rather, we want to describe the broad capabilities of, and give examples of the parallel programming paradigm needed for the applications of Table4 . We believe that the program- ming functionality needed by a particular application is broadly determined by the problem architecture described in the following section.... In PAGE 21: ... Data parallelism occurs in large data mining sub-applications on servers with links to Java or VRML clients, that just handle visualization and interpretation modules. There were a few examples of metaproblems in our original survey, but a major part of Table4 , from our New York State activity, is the Information Integration classi cation. This class includes manufacturing and the applications 25{33, all examples of metaproblems.... In PAGE 32: ... These include processing sensor data (signal and image processing|Application 15) and simulations of such things as expected weather patterns and chemical plumes. In this way, many of the components (Applications 1 to 12 in Table4 ) are linked as part of this large metaproblem. One also needs large-scale multimedia databases with HPCC issues related to those described for InfoVISiON in Section 4.... ..."

"... In PAGE 3: ... 1495 3. Dataset The satellite dataset used in this study was acquired as close as possible to the time of the RADARSAT-1 image acquisition ( Table1 ). It includes data obtained by the Advanced Very- High Resolution Radiometer (AVHRR) on board the National Oceanic and Atmospheric Administration (NOAA) satellites, the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) aboard the NASA/Orbview-2 Satellite, Synthetic Aperture Radar (SAR) board RADARSAT-1 ... ..."

"... In PAGE 88: ... This indicates that the spatial resolution of the fused synthetic hyper image is much beter with respect to the resolution of the high-spatial resolution synthetic multi band. The data that Table2 lists, and Plot 2 plots, is for the purpose of quantitatively analyzing the spatial resolutions of the fused simulated hyper images produced by the modified PC algorithm. These images are those produced when fusing the simulated multi band and simulated hyper image using diferent edge magnitude thresholds.... In PAGE 88: ... Additionaly, the data is for the quantitative comparison of the spatial resolutions of the fused simulated hyper images produced by the modified PC algorithm with the resolution produced by the typical PC algorithm using the threshold value 0. The values in Table2 and Plot 2 for the measure (SCD) for quantifying the diference in spatial correlation betwen each fused simulated hyper image, generated for an edge magnitude threshold (T), and the simulated multi band were calculated using Equations 54 through 50. Each threshold value is in units of percent of the maximum value of the edge magnitude (E) image generated from the simulated multi band.... In PAGE 89: ...89 Plot 2 Analysis of Fused Simulated Hyperspectral Images Produced by Fusion of Simulated Multispectral Band and Simulated Hyperspectral Image The spatial resolutions of the fused simulated hyper images produced by the modified PC algorithm can be analyzed by comparison of the spatial correlation diference (SCD) values in Table2 and Plot 2 for the edge magnitude threshold (T) values 3.... ..."

"... In PAGE 91: ... ENVI was used for the covariance and spectral correlation calculations. Table3 lists, and Plot 3 plots, data that is for the purpose of quantitatively analyzing the spectral content of the bands of the fused synthetic hyper images produced by the modified PC algorithm. These images were produced using diferent edge magnitude thresholds.... In PAGE 91: ... A spectral correlation close to 1 would indicate that the spectral content of the band of a fused synthetic hyper image is comparable to the content of the band of the high-spectral quality synthetic hyper image. The values in Table3 and Plot 3 for the spectral corelation (r) betwen each band of a fused synthetic hyper image and the corresponding band of the synthetic hyper image were calculated as follows. The spectral correlations were calculated for al of the fused synthetic hyper images produced using diferent edge magnitude thresholds (T).... In PAGE 91: ... From this covariance matrix, a spectral correlation matrix was calculated using the proces in Equations 36 and 37. Taking a subset of the elements of this correlation matrix after its calculation resulted in the spectral correlation (r) values in Table3 and Plot 3 for each band of each fused synthetic hyper image. Each of these images is for a certain edge magnitude threshold (T).... In PAGE 93: ...93 The spectral content of the first thre bands of the fused synthetic hyper images produced by the modified PC algorithm can be analyzed by comparing their spectral correlation (r) values in Table3 and Plot 3 for the edge magnitude threshold (T) values 4.... In PAGE 94: ... A spectral RMS eror close to 0 would indicate that the spectral content of the band of a fused synthetic hyper image is approximately equivalent to the content of the band of the high-spectral quality synthetic hyper image. The spectral RMS eror (erms) values in Table3 and Plot 3 for the eror betwen each band of a fused synthetic hyper image and the corresponding band of the synthetic hyper image were calculated in the following way. The erors were calculated for al of the edge magnitude thresholds (T) used in producing the fused synthetic hyper images.... ..."

"... In PAGE 96: ... Again, this conclusion is the same as the conclusion made in analyzing the typical PC algorithm by measuring spectral correlation. For the purpose of completion, Table5 in the Appendix section lists the remaining data for this quantitative spectral analysis. The additional data is for the bands of the fused simulated hyper images produced when fusing the simulated multi band and simulated hyper image.... ..."