Download Cooperative Design, Visualization, and Engineering: 4th by Haifeng Shen, Steven Xia, Chengzheng Sun (auth.), Yuhua Luo PDF

By Haifeng Shen, Steven Xia, Chengzheng Sun (auth.), Yuhua Luo (eds.)

This yr the CDVE convention celebratedits fourth annual eventin a thrilling city—Shanghai, China. The cooperative layout, visualization and engineering communitysensedtheeconomicpulseofanewgianteconomywherecooperation is key for its luck. This yr we bought a lot of papers from worldwide. as well as many submissions from Europe, we acquired extra papers from Asia and China this time. Many authors from key chinese language learn facilities and nationwide tasks awarded their papers, which gave us perception into the development of study and improvement during this great financial system. From a technical perspective, as a massive development in cooperative layout, vi- alization, engineering and different functions, complex Web-based cooperation know-how sticks out on its own. Many papers re?ect the learn during this element with very convincing effects. Web-based cooperative operating functions were rising strongly because the extensive availability and accessibility of the WWW. it's a kind of sharing andcollaboratingbyitsnature.Itissuitable forthe cooperationofamuchwider diversity of clients. within the ?eld of cooperative engineering, new ?ndings and new effects have been awarded. between all, paintings ?ow know-how was once famous as a key point for winning cooperative engineering. in accordance with those new ?ndings, simply Web-based cooperation instruments and shared databases are usually not adequate for coop- ative engineering. Work?ow-based technique might be brought to gu- antee the combination and coordination of the complete lifestyles cycle strategy of products.

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Extra resources for Cooperative Design, Visualization, and Engineering: 4th International Conference, CDVE 2007, Shanghai, China, September 16-20, 2007. Proceedings

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2 that our system provides various usages of saturation, and each produces a different coloring of the annotation data while leaving the size, placement, and ring thickness intact. These saturation functions all represent useful and interesting information for system users. The baseline saturation is a key parameter in our visualization. Because our visualization coexists in the same display space as the original data, it’s imperative that our visualization remain unobtrusive. In this case, a lower baseline saturation is preferable as it produces a visually “quiet” image.

Simulated annealing is tolerant of small, non-optimal changes as long as the overall change progresses towards the optimal solution. In our case, we wanted the size of the cells to be proportional to the amount of annotation content relative to the whole data set. Our acceptance test not only checks for progressively improved voronoi area, but also ensures that the relative positions of all points remain unchanged. 2 Growth Rings Growth rings are a space-filling visualization for intuitively representing timeordered data.

The overview we provide again proves invaluable, as it clearly distinguishes all posts by the selected authors for every data point. Author selection is particularly effective for this task when combined with the ability to temporarily de-saturate all other authors. 5 Uncovering Collaboration Patterns By selected different subsets of authors, users can discover patterns of annotation authorship (Figure 3 right). Perhaps two people frequently work on the same VICA: A Voronoi Interface for Visualizing Collaborative Annotations 31 data points because they have compatible ideas, work habits, or simply because they inspire each other.

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