Daido University

About: Daido University is a education organization based out in Nagoya, Japan. It is known for research contribution in the topics: Ultimate tensile strength & Proton exchange membrane fuel cell. The organization has 209 authors who have published 423 publications receiving 3223 citations.

High Aspect Ratio Thin Rib Shape Processing of Carbon Material for Electrical Discharge Machining Molds

Abstract: Aluminum alloy die casting products are used for automotive LED lamp installation parts. The high aspect ratio shape used for large-volume heat problems needs thin rib parts. In the present study, we obtained basic data for the development of long axis type end mill tools for electrical discharge machining carbon material processing. At the same time, to evaluate the prototype development work, a special tool that enables high aspect ratio thin rib geometry processing was used. Longitudinal direction traverse cutting was done with a small diameter ball end mill tool in the carbon material for electrical discharge machining mold. The transfer accuracy and pick feed shape in the finished surface, the cutting resistance force, and the cutting edge shapes were examined to clarify the relationship between the cutting conditions set. Prototype development of the small-diameter end mill tool with a high rigidity, long axis was done using FEM numerical analysis method. The results showed that the small-diameter ball end mill tool with a tapered length axis in the prototype development had transfer accuracy of the cutting edge shape, and it was possible to reduce the finished surface roughness. Factors such as differences in tool shape are considered to greatly affect the tool rigidity.

Generic Object Recognition Using Both Illustration Images and Real-Object Images by CNN

Abstract: In recent years, the development of robots has been carried out for making human life more convenient and more comfortable along with the development of artificial intelligence. It is necessary for the robot to recognize the surrounding environment. However, in the surrounding environment there are objects other than real objects such as illustrations and paintings. When recognizing an image showing an illustration image with the current object recognition system which learned using real-object images, the recognition rate is very low (about 65%). In this research, we aim to recognize both illustration images and real-object images, and we verified whether the pseudo illustrated image which processed contour processing and the color reduction processing to the real image is effective for the recognition of the illustrated image.

Artificial Speech Corpus in Japanese for Anti-spoofing Automatic Speaker Recognition

Abstract: In this paper, we introduce an artificial speech corpus in Japanese designed for anti-spoofing automatic speaker recognition. This speech corpus contains the speech data which are generated by a voice conversion method and a text-to-speech synthesizer. Using this speech corpus, we conduct speaker recognition experiments. Experimental results show that it is possible to spoof the automatic speaker recognizer using the artificial speech. Especially, it is difficult to distinguish the synthesis speech from the genuine speech compared with the voice conversion speech.