Abstract: A method for manufacturing a thin-film magnetic head includes a step of cutting a wafer into bars, each bar having a plurality of thin-film magnetic head sliders which are sequentially coupled with each other, a step of identifying the bar to be worked to generate an identification signal which indicates identity of the bar, a step of obtaining data of the bar in a unit of bar depending upon the identification signal, and a step of processing at least one working of the bar on the basis of the obtained data of the bar.

Abstract: An apparatus and method are provided for analyzing information relating to the physiological and psychological conditions of a driver. Psychological conditions such as comfortableness or degree of alertness are estimated on the basis of physical data such as fluctuation in brain waves. This apparatus comprises a first neural network having a pre-processed 1/f fluctuation signal for brain waves as an input and for estimating a degree of alertness of the driver, and a second neural network receiving the estimated degree of alertness and the pre-processed 1/f fluctuation signal, for estimating and outputting driving comfortableness. By employing a neural network, which has a mapping ability as well as flexible adaptability even for non-linear data, based on the learning function, more accurate estimation of mental conditions can be achieved in comparison with conventional statistical analysis.

Abstract: An apparatus and method are provided for analyzing information relating to the physiological and psychological conditions of a driver. Psychological conditions such as comfortableness or degree of alertness are estimated on the basis of physical data such as fluctuation in brain waves. This apparatus comprises a first neural network having a pre-processed 1/f fluctuation signal for brain waves as an input and for estimating a degree of alertness of the driver, and a second neural network receiving the estimated degree of alertness and the pre-processed 1/f fluctuation signal, for estimating and outputting driving comfortableness. By employing a neural network, which has a mapping ability as well as flexible adaptability even for non-linear data, based on the learning function, more accurate estimation of mental conditions can be achieved in comparison with conventional statistical analysis.

Abstract: A method and an apparatus for heart beat synchronous nuclear magnetic resonance imaging capable of improving the quality of the nuclear magnetic resonance images synchronous with the heart beat by reducing erroneous generation of synchronization signals due to noises in the electro-cardiographic waves. In the apparatus, noises are removed from the electro-cardiographic waves obtained from the patient; synchronization signals are generated in correspondence to the noise removed electro-cardiographic waves; and nuclear magnetic resonance images are taken by collecting nuclear magnetic resonance signals from the patient at collection timings determined in correspondence to the synchronization signals, and by reconstructing the nuclear magnetic resonance images by using the collected nuclear magnetic resonance signals.

Abstract: An alpha-wave amplitude selector with a window slicer quickly selects and detects a time domain in which the amplitude of alpha component in brain waves exceeds or falls below a given threshold levels for use in biofeedback. A combination of a window slicer that receives alpha wave as input and an RS flip-flop connected to the window slicer significantly reduces a time-delay between a point at which the amplitude of alpha wave exceeds or falls below a preset level and a point at which a feedback stimulus is given.