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Table 2: Key application drivers for the Gridbus project and collaborators.
in The Gridbus Toolkit for Service Oriented Grid and Utility Computing: An Overview and Status Report
2004
"... In PAGE 7: ... Two scientific disciplines of this nature are brain science and high-energy physics. The Gridbus Project has been actively involved in extending its technologies to Grid enable real-world applications in collaboration with various researchers around the world (see Table2 ). In addition, we have extended the notion of Grid economy to develop an attention economy based eMail communication system, called GridMail [17].... ..."
Cited by 30
Table 1. Portals vs. synchronized world embedding.
"... In PAGE 2: ... The length of delay depends on the type or data size of the activated world. Table1 compares the portal function with world unit embedding, in which users see an embedded world or image in their current world or page without activating a portal or anchor. They can thus interact with both the cur- Feature Article 74 July/August 2004 HTML page 1 Page 3 Page 2 Page 4 Embedded object Collaborative virtual environment (a)(b) Virtual world 1 Virtual world 4 Virtual world 3 Virtual world 2 1 Expanding virtual space.... ..."
Table 2: Data Grid Projects around the world.
2005
"... In PAGE 20: ... United Kingdom Belle Analysis Data Grid [94] High Energy Physics Hierarchical model, In- tradomain, Collaborative VO, Stable Sources, Managed To create computational and storage infrastructure in Australia for physicists involved in the Belle and ATLAS experiments. Australia Table2 shows various Data Grid projects around the world in different scienti c domains classi ed ac- cording to the taxonomy provided in Figure 4. Below we will survey some of the scienti c domains which are making use of Data Grids.... ..."
Table 1: Summary of characteristics of HISTE V characteristics of HISTE V and compares with HISTE IV. References [1] The D Collaboration D Internal note 2542. [2] A. D. Bross, R. C. Ruchti and M. R. Wayne, SCIFI 93 (World Scienti c, Singapore, 1995) pp. 641-650. [3] A. D. Bross, R. C. Ruchti and M. R. Wayne, SCIFI 93 (World Scienti c, Singapore, 1995) pp. 613-629.
"... In PAGE 4: ... Conclusion We have demonstrated that HISTE V has a low noise and high gain with low gain variation. Table1 summarizes the Bias vs. Noise Chip=6056D20 Bias(V) Noise(Hz) 102 103 104 6 6.... ..."
Table 1 shows the relationship between proximity and collaboration in a contingency table. It demonstrates that increases in physical proximity are associated with increases in successful collaboration both for researchers in the same department and those in different departments, and both for researchers with similar and dissimilar research interests.
"... In PAGE 31: ...48 717 9.07 Table1 . Association of Proximity and Collaboration All of the phenomena we identified above probably contribute to this association of physical proximity and successful collaboration.... In PAGE 33: ... In the physical world concentration is accomplished by putting people who need to communicate close together. For example, as Table1 showed, researchers in the same subunit and those who share research interests tend to be located in the same area in a building. In the telecommunications domain, everyone who is connected to a common network is in some sense equally accessible, absent the constraints of distance- sensitive charges and lost phone numbers.... ..."
Tabletop Collaboration
2006
Cited by 1
TABLETOP COLLABORATION
1030
Table 24: Author Collaboration Networks - Statistics Power Law Exponent Clustering Coefficient
2007
"... In PAGE 22: ...e considered a Small World Network. The Newman clustering coefficient approaches 0.5, thus it can be concluded that the network is almost a Small World network according to Newman. How does this compare to other research and other digital collections? The results of other research is included in comparison to our findings for the ACL Anthology Network in Table24 . Please note that the results from other research may not include matching algorithms used to find certain values.... ..."
Table 2. What happens in a mixed-initiative collaborative planning between humans.
"... In PAGE 3: ... The only information they shared at the start of the dialogue was an abstract map of the Trains world. Table2 summarizes the different classes of interaction and their frequency that we found in analyzing every utterance in one hour of a sample dialogue. The only type of interactions supported by a typical state-of- the-art planning system (namely, adding a new course of action) handles less than 25% of the interactions.... ..."
Table 4: A Scienti c Basis for Computational Science Of course, collaboration between human and computational science is encouraged.
"... In PAGE 12: ... The view advanced here, which is intended to found a computational science on a scienti c basis, contrasts with the orthodox view of the computational sciences depicted previously in Table 1. Table4 exempli es the new view, which is an elaborated (and transposed) version of Table 2. The new view calls for developing a descriptive taxonomy of scienti c activity.... In PAGE 15: ... Then the boundaries between the enterprise of science as a whole (the acquisition and organization of the knowledge of the world) and AI (the understanding of how knowledge is acquired and organized) will become increasingly fuzzy. We regard the proposal of this paper as entirely consonant with Newell apos;s perception, although we have added the concept of generic tasks that cut across the sciences as in Table4 . Newell apos;s vision of building computational systems to do \object-level quot; science corresponds to our emphasis on science automation; our view of computational science as task-centered and discipline-generic calls at least for adjustments to the disciplinary structure of science, if not for Newell apos;s transformations.... ..."
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