Yachide
Yusuke Yachide, Tokyo JP
Patent application number | Description | Published |
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20120204181 | RECONFIGURABLE DEVICE, PROCESSING ASSIGNMENT METHOD, PROCESSING ARRANGEMENT METHOD, INFORMATION PROCESSING APPARATUS, AND CONTROL METHOD THEREFOR - According to the present invention, in changing the circuit configuration of a reconfigurable device, a circuit configuration change period is shortened while avoiding a dependency on processing contents without increasing the size of a circuit due to addition of a mechanism. Considering an execution order relation between a plurality of data flows, a setting change count necessary for changing the circuit configuration in changing processing is decreased within a constraint range, thereby shortening the circuit configuration change period. | 08-09-2012 |
Yusuke Yachide, St. Leonard AU
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20140314312 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An edge graph in which a pixel of an image is set as a node and an edge is set between nodes is generated. The dissimilarity or similarity between nodes at the two ends of the edge is used as the feature amount of the edge, and the edge is classified into one of a plurality of classes based on the feature amount. The edge of interest is selected in ascending class order of the feature amount, and it is determined whether to merge determination target regions to which the nodes at the two ends of the edge of interest belong. Determination target regions determined to be able to be merged are merged, and a feature amount in the merged region is updated. | 10-23-2014 |
Yusuke Yachide, St Leonards AU
Patent application number | Description | Published |
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20150154330 | Hierarchical determination of metrics for component-based parameterized SoCs - A method of determining a metric of an SoC, the method comprising: receiving a model dependency graph representing the SoC, the model dependency graph having a plurality of nodes representing components of the SoC and their models, and a plurality of directed edges between the nodes representing variables passed between the nodes of the model dependency graph; modifying the model dependency graph by clustering a plurality of strongly connected nodes in the model dependency graph into a single clustered node to form a clustered model dependency graph; determining an execution schedule according to a direction of an edge in the clustered model dependency graph; and executing models in the clustered model dependency graph according to the execution schedule to determine metrics of the SoC. | 06-04-2015 |