This paper proposes the concept of Tool-Based Direct Deformation Method (TB-DDM) which supports networked CAD (Computer Aided Design) systems with virtual reality technologies. TB-DDM allows designers to sculpt free forms directly with tools; each tool has its deforming characteristics, such as, the area and the shape of deformation. TB-DDM's direct deformation interface is independent of form representations because the system automatically calculates appropriate deformation according to its form representation when a tool pushes" a form. The deformation with TB-DDM is concisely described by the initial shape, types of tools, and thier loci; the description enables cooperative CAD systems with narrow bandwidth network to share design process rapidly and to distribute computational load.

A new quick response rain gauge of waterdrop counting type with a wide measurement range from 0.7 up to 300 mm/H has been developed. From the result of the filed operation for 3 years, this gauge is proven to have the accuracy better than 10%.

We attempt to achieve corporative behavior of autonomous decentralized agents constructed via Q-Learning, which is a type of reinforcement learning. As such, in the present paper, we examine the piano mover's problem including a find-path problem. We propose a multi-agent architecture that has an external agent and internal agents. Internal agents are homogenous and can communicate with each other. The movement of the external agent depends on the composition of the actions of the internal agents. By learning how to move through the internal agents, avoidance of obstacles by the object is expected. We simulate the proposed method in a two-dimensional continuous world. Results obtained in the present investigation reveal the effectiveness of the proposed method.