Search results

The purpose of this study is to develop a simulation method to calculate non-stationary distributions of the chemical potential of oxygen in a solid oxide fuel cell (SOFC) under operation.

The initial-boundary value problem was appropriately formulated and the appropriate boundary conditions were implemented so that the problem of non-stationary behavior of SOFC can be solved in accordance with actual operational and typical experimental conditions. The dependencies of the material properties on the temperature and partial pressure of oxygen were also elaborately introduced to realize actual material responses. The capability of the proposed simulation method was demonstrated under arbitrary operating conditions.

The steady state calculated with the open circuit voltage condition was conformable with the analytical solution. In addition, the transient states of the spatial distributions of potentials and currents under the voltage- and current-controlled conditions were successfully differentiated, even though they eventually became the same steady state. Furthermore, the effects of dense materials assumed for interconnects and current collectors were found to not be influential. It is thus safe to conclude that the proposed method enables us to simulate any type of transient simulations regardless of controlling conditions.

Although only uniaxial models were tested in the numerical examples in this paper, the proposed method is applicable for arbitrary shapes of SOFC cells.

The value of this paper is that adequate numerical simulations by the proposed method properly captured the electrochemical transient transport phenomena in SOFC under various operational conditions, and that the applicability was confirmed by some numerical examples.

This paper aims to propose a system that generates dialogue scenarios automatically in real time from Web news articles. Then, the authors used the Manzai metaphor, a form of Japanese traditional humorous comedy, in the system. The generated Manzai scenario consists of snappy patter and a humorous misunderstanding of dialogue based on the gap of our structure of funny points. The authors create communication robots to amuse people with the generated humorous robot dialogue scenarios.

The authors propose the following: how to generate funny dialogue-based scenario from Web news and Web intelligence, automatically? How to create direction of robots based on the pre-experiment? The authors conducted experiments from three viewpoints, namely, effectiveness of Manzai scenarios as content, effectiveness of Manzai-Robots as a medium and familiarity of Manzai-Robots.

In this paper, the authors find two points, namely, the new communication style called “human–robots implicit communication-and bridging the knowledge gap using Web intelligence, to communicate smoothly between humans and robots.

Numerous studies have examined communication robots that mutually communicate with people. However, for several reasons, communicating smoothly with people is difficult for robots. One reason is the problem of communication style. Another is knowledge gaps separating humans and robots. The authors propose a new communication style to solve the problems and designate the communication style based on dialogue between robots as “human-robot implicit communication”. The authors then create communication robots to communicate with people naturally, smoothly and with familiarity according to their dialogue.