Shinya Hosogi

Dialog interface system

In the dialog interface apparatus of the present invention, input speech is converted to an input semantic representation by a speech recognition unit, and a dialog management unit outputs an output semantic representation that corresponds to the input semantic representation, based on the input semantic representation obtained by the speech recognition unit. Having received the output semantic representation from the dialog management unit, a speech synthesis unit converts the output semantic representation to output speech identifying a specific dialog target and outputs the output speech. Further, the dialog management unit outputs to an innate operation execution unit an innate operation command that corresponds to the input semantic representation. The innate operation execution unit receives the innate operation command from the dialog management unit and executes an operation corresponding to the innate operation command.

Dynamics of a triangular loop containing three Josephson junctions with zero capacitance

Dynamical properties of a triangular loop, each side of which consists of one Josephson junction with zero capacitance and inductance, are considered in this paper. For two kinds of applied currents, phase‐time and current‐voltage relations are calculated by integrating a set of derived nonlinear differential equations numerically. Time dependence of a fluxoid number in the loop is given by phase‐time relations, and it is found that the calculated current‐voltage relations exhibit uneven changes slightly above the threshold current for the voltage shifting from two to three junctions. The analytical result for the threshold currents under some conditions is in good agreement with the numerical one.

Dynamic font: its concept and generation method

Publisher Summary This chapter presents a new concept of dynamic font and its generation method. The dynamic font is generated by intersecting some virtual writing implement with some virtual plane and moving the implement continuously in both space and time subject to the designed writing-motion. The writing-motion is defined by using the concept of “unit motions,” this made possible a local and dynamic generation of motions, and the fonts as if human wrote such fonts in real time. In order to build various motions and the fonts, a notion of operations on motions is also contained. They included spatial operations such as scaling, translating, rotating, and tilting a motion. Structural operations of joining two motions and separating a motion into two enabled to generate any sequence of continuously connected cursive fonts. The writing-motion is represented formally as a sequence of the weighting coefficients for unit motions. The sequence formed a control polygon geometrically and is used effectively to design the motion as well as the dynamic font. The chapter presents several simulation examples by using an elliptic cone and a simple planar plane respectively as examples of the virtual writing implement and the plane for writing on.

Hippocampal neural network model performing navigation by homing vector field adhesion to sensor map

We propose an artificial neural network model for autonomous agents, i.e., mobile robots, to learn maps of environments and acquire the ability to perform home-navigation autonomously. The networks consists of two subnetworks, each of which has a similar structure with hippocampal lamellar neuronal circuits. Hebbian learning procedures self-organize the first subnetwork to output the distributed sinusoidal activity of the cells by accumulating motor information generated during movement, and the second subnetwork to output localized activity by prototyping sensory information. These patterns represent a homing vector providing the relative coordinates of the agent from a starting point, and a place code corresponding uniquely to a point of the environment. By attaching homing vectors to the sensor map, the homing vector is associated with the sensory stimuli. Then the agents can perform home-navigation autonomously by this association.

A theoretical analysis of dynamic interactions between systems

Dynamic interactions between dynamic systems are analyzed theoretically. Specifically, three cases that the two systems are (1) isolated from each other, (2) in contact with each other, and (3) at the moment of colliding with each other are investigated in a systematically. The extended Hamiltons principle is used as a principle of mechanics that governs the dynamic behaviors of the systems. Besides, it is assumed that the contact between the two systems can be represented by the classical nonholonomic constraint including the holonomic constraint as a special case. As a result, it is shown that the dynamic interaction can be described by the constraint on the generalized coordinates of the systems and the condition for the generalized forces of constraint. The dynamic interaction can also be expressed in terms of a particular block diagram accompanied with an inputting port of displacements and an outputting port of forces of constraint.