Takashi Kitaguchi

Hardware-based neural identification: linear dynamical systems

In this paper, a hardware-based neural identification method is proposed in order to learn the characteristics or structure of a discrete linear dynamical system. Quick or instant identification of unknown dynamical systems is particularly required for practical controls not only in intelligent mechatronics such as, for example, automatic selforganized running of mobile vehicles, but in intelligent self-controlled systems. We developed a new method of hardware-based identification for general dynamical systems using a digital neural network very large scale integration (VLSI) chip, RN-200, where sixteen neurons and a total of 256 synapses are integrated in a 13.73×13.73 mm2 VLSI chip, fabricated using RICOH 0.8 μm complementary metal oxide semiconductor CMOS technology (RICOH, Yokohama, Japan). This paper describes how to implement neural ideitification in both learning and feedfoward processing (recognizing) using a RICOH RN-2000 neurocomputer which consists of seven RN-200 digital neural network VLSI chips.

Desktop 2d/3d image capturing system using a digital camera

As electronic documents are becoming more and more popular, variety of objects, including 2D and 3D objects such as articles, books and 3D-shapes, can be easily contained in a document. Conventional systems cannot capture these objects as a 3D form. We developed a new image capturing system with 3D information for deskwork. It is an assemblage of a normal digital camera and its docking station designed for easy operation. The docking station swings the attached camera tilting step by step. Within a few steps, it covers the whole object automatically. Then each frame is combined together into one complete image with full resolution. In order to get precise 3D structure, stripe patterns are projected by a modified flash light attached on the camera. The resolution rises by means of the swing to be slipped the patterns on the object. Using the obtained 3D data we can reconstruct a correct image from a splay surface image such as a book. Experimental Results of image mosaicking and 3D reconstruction shows that the system is practical.