International Business Machines Corporation

Kam Hou U

Thomas D Fitzsimmons

Jonathan R Fry

Angel A Merchan

Michael Lapointe

Victoria A Nwobodo

A computer-implemented method includes receiving a base visualization having first data in a first set of channels, where each channel in the first set of channels is associated with a respective range in the base visualization. It is detected that the respective ranges of the first set of channels fall outside a perceptual bandwidth of a first user. The base visualization is automatically transformed to a second visualization, based on the perceptual bandwidth of the first user. The second visualization includes second data in a second set of channels, where each channel in the second set of channels is associated with a respective range in the second visualization. The respective ranges of the second set of channels fall within the perceptual bandwidth of the first user.

Multimodal data visualization using bandwidth profiles and optional environmental compensation

A method includes grouping nodes into a first level clusters. For each first level cluster, a leader node is promoted. For each first level cluster that has a size exceeding a predetermined threshold, nodes of the cluster are grouped into second level clusters. For each second level cluster, a leader node is promoted. If no single node is trusted to patch its cluster, a fragmentation scheme is applied to enable nodes to check validity of the receiving patch. This grouping scheme is applied in a hierarchical manner until the size of all clusters are found to be under the predetermined threshold. A software patch is transmitted to the leader nodes of the first level clusters, which then transmit the software patch to next level leaders (if any) or to all other nodes within the same cluster. The patch transmission is done in a hierarchical manner for subsequent levels.

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Brooklyn, NY, United States of America

Kam Hou U