The real time extraction system of EEG's frequency and amplitude was reported in the earlier paper. In this papar, displaying the information of the amplitude versus frequency included in EEG by X-Y recorder, the availability of its two-dimensional displayed pattern was discussed, and two kinds of easy two-dimensional real time display systems were also mentioned.

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In the present study, mean convective heat transfer coefficient for the human body was theoretically derived from a bioengineering method based on the heat and mass transfer theory taking into considerations the physiological properties of the human body.
A diameter of an unclothed man-equivalent thermal cylinder obtained from the basis of thermal equilibrium between man and his environment was 18cm, and a formula, h_c=³√270V²+23 [Kcal/m²h°C] (0.1≤V≤3.0 [m/s]), which gives the mean convection coefficient was determined by applying the dimensionless equations of heat transfer by Hilpert and by Oosthuizen-Madan to the cylinder 18cm in diameter. The present formula takes into considerations natural and forced convection at the same time, and in particular the effect of natural convection can be evaluated in the range of low velocity of air. Moreover, clothed condition was stood for by putting clothes on the unclothed cylinder derived and the mean convective heat transfer coefficient was compared with those proposed by earlier workers.

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In this paper the human control output in the compensatory tracking task is studied under the assumption that it consists of two components: the input and the system component. The former is assumed to be a continuous function of time generated by the input model in operator's brain, while the latter is an intermittent component which takes place, depending on the current state of the error.
In order to clarify characteristics of these components, the control output is subdivided into two phases by comparison of the control output and the ideal control which is capable of nullifying the error.
The quantitative changes of these components in the course of subject's training, plant dynamics variation and input frequency variation are studied experimentally. The following results are obtained:
(1) With the untrained subjects the system component is dominant, while with the trained the input one is.
(2) The input component is well approximating to the ideal control. However the accuracy is dependent on the plant dynamics and the input frequency.
(3) The system component is also influenced by the plant dynamics and the input frequency, so as to be able to compensate for the insufficiency of the input component.

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