Data mining is the efficient discovery of patterns in large databases, and classification rules are perhaps the most important type of patterns in data mining applications. However, the number of such classification rules is generally very big that selection of interesting ones among all discovered rules becomes an important task. In this paper, factors related to the interestingness of a rule ...

In order to solve the long period of drying method in river sediment conditions, an image acquisition device which installed in the lead fish existing in Cableway river is designed. This new device sinks into the pre-set the vertical position, when the computer of bank workstation issuing control commands, the camera in lead fish started to sample recording in the water, and image transfer to t...

It is a widely assumed principle that organisms reflexively approach possibilities for pleasure and avoid possibilities for pain. However, highly evolved organisms not only reflexively react to future possibilities of pleasure vs. pain, but also evaluate the chance or risk of actually experiencing such possibilities. Given the import of optimism judgments in shaping behavior and other outcomes,...

Decoupled access/execute architectures seek to maximize performance by dividing a given program into two separate instruction streams and executing the streams on independent cooperating processors. The instruction streams consist of those instructions involved in generating memory accesses (the Access stream) and those that consume the data (the Execute stream). If the processor running the ac...

We have developed the system of "Reconfigurable Brachiating Space Robot (RBR)". This space robot is designed based upon the modularized design, the cable reduction and the distributed control technique. This robot is capable of moving over the “KIBO” (Japanese Experimental Module) of the International Space Station in a brachiating manner and also capable of arm reconfiguration according to the...

Power aware compilers have been under research during the last few years. However, there is still a need for accurate energy models for supporting software optimizations. In this paper we present a new energy model on the instruction level. As an addition to former models, the bit toggling on internal and external busses as well as accesses to off-chip memories are considered. To determine the ...

A biologically based, multi-cortical computational model was developed to investigate how ensembles of neurons learn to execute a three-dimensional reaching task. The model produces outputs of spike trains that can be analyzed using a variety of multivariate analysis tools. Simulations show that after learning, the model neurons exhibit broad directional tuning that depend on the de3ned muscle ...

Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be generally so huge that selection of interesting ones among all discovered rules becomes an important task. At each period, using the newly gathered information from the domain, the new classification rules are induced. Therefore, these rules stream th...

This paper considers the automatic generation of motion paths for several cooperating robot arms to manipulate a movable object between two configurations among obstacles. To avoid collisions the robots may have to change their grasp of the object, for example, by passing it from one arm to another. The case where the movable object can only be moved by two arms acting simultaneously is also co...