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Information Gathering using Levy Flight on Sensor Networks

Random walks play an important role in computer science, spreading a wide range of topics in theory and practice, including networking, distributed systems, and optimization. Levy flight is a family of random walks whose the distance of a walk is chosen from the power law distribution. There are lots of works of Levy flight in the context of target detection in swarm robotics, analyzing human walk patterns, and modeling the behavior of animal foraging in recent years. According to these results, it is known as an efficient method to search in a two- dimensional plane.

Platform for 3D Object Sharing

Many pictures and videos have been shared on the Web. Those are possible to easily find what you need by using a search engine. The spread of 3D printer, 3D objects are also expected to be shared in the same manner. However, unlike pictures and videos, 3D objects have a problem that the appearance changes by rotation and zoom operations. So that, the addition of annotations considering the viewpoint position is required for shared 3D objects.

Accrual Failure Detectors

Detecting failures is a fundamental issue for fault-tolerance in distributed systems. Recently, many people have come to realize that failure detection ought to be provided as some form of generic service, similar to IP address lookup or time synchronization. However, this has not been successful so far. One of the reasons is the difficulty to satisfy several application requirements simultaneously when using classical failure detectors.