Nagoya Institute of Technology

About: Nagoya Institute of Technology is a education organization based out in Nagoya, Japan. It is known for research contribution in the topics: Thin film & Catalysis. The organization has 10766 authors who have published 19140 publications receiving 255696 citations. The organization is also known as: Nagoya Kōgyō Daigaku & Nitech.

The correlation between mass-averaged SAR and temperature elevation in the human head model exposed to RF near-fields from 1 to 6 GHz

Abstract: In the present study, we investigate the relationship between the mass-averaged specific absorption rate (SAR) and temperature elevation in anatomically based Japanese head models due to the dipole antenna. A homogeneous cubical model is also used as a basis for the investigation. The frequency region considered is from 1 to 6 GHz. We focused on the averaging mass of SAR, which maximizes the correlation with local temperature elevation. An averaged SAR over 10 g was found to reasonably correlate with local temperature elevation even for frequencies from 3 to 6 GHz. The dominant factor influencing the correlation between mass-averaged SAR and temperature elevation is suggested to be the thermal diffusion length in biological tissue, together with the penetration depth of radio-frequency waves. The correlation of local temperature elevation to mass-averaged SAR is largely influenced by the blood perfusion rate, while at most 10% or less is due to the pinna, model inhomogeneity and the antenna position relative to the head model.

Motion rendering system for emotion expression of human form robots based on Laban movement analysis

Abstract: A method for adding a target emotion to arbitrary body movements of a human form robot (HFR) is developed. The additional emotion is pleasure, anger, sadness or relaxation. This paper proposes a motion rendering system that modifies arbitrary basic movements of a certain real HFR to add the target emotion at intended strength. The system is developed on the assumption that movements can be emotive by processed on the basis of the correlations between movement features and expressed emotions. The movement features based on Laban movement analysis (LMA) are adopted. An experiment using a real HFR are conducted to test how well our system adds a target emotion to arbitrary movements at intended strength. The results of experiments suggest that our method succeeded in adding a target emotion to arbitrary movements.