The purpose of this paper is to clarify the characteristics of car accident patterns with respect to young and middle generation by the mathematical quantification theory typeII. These two clusters, young and middle generation, are generated by a new clustering method which is an iterative procedure of the type II, although the type II is not generally for clustering. The characteristics of two clusters were extracted also by using this type II, after two clusters were obtained. Furthermore the hypothesis testing concerning their characteristics was performed to say following conclusions: the young ages pattern comes from “most evitable” failure, but the middle ages pattern is due to “most inevitable” accident. Then number of accidents in young ages might be reduced by safe education, legal regulation and something like that.

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A series of experiments on visual texture inpression of eighteen test pieces prepared by combinations of Rrms (3 levels), Pitch (3 levels) and the shapes of profile peaks (2 levels) was carried out by means of S. D. method.
The purpose of the present investigation was to clarify semantic dimensions of visual texture on metallic surface (BsBM) shaved by turned workpieces, to find out corresponding physical characteristics of surface roughness and to investigate differences between Professional and Non-Professional concerning above problems.
The results were as follows: 1) Professional subjects showed three semantic dimensions; roughness, monotonousness and humidity, respectively corresponding mostly to physical characteristics, Pitch, Wea and Rrms. 2) Non-Professional subjects revealed two semantic dimensions; roughness and humidity, respectively corresponding mainly to physical characteristics; pitch and Rrms. 3) Individual data in both subjects-groups disclosed more dimensions.
Possible reasons were discussed for differences of results observed between two subjects-groups and of those between individual and averaged data.

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By recording activities of two surface myoelectric signals in two muscles simultaneously, the cross-correlation function of two myoelectric signals are examined in a set, cross-spectra are obtained through direct fast Fourier transform of these signals. Synchronization and temporal alignment of two myoelectric signals from different motor units have been measured in this study.
The Bode chart of muscular motor regulation is shown based on the automatic control theory. These charts have presented function of motor control between the agonist and antagonist and among various muscles.
The results are summarized as follows:
1) The Bode chart suggests that frequency components of myoelectric signals can be disclosed in proportion to gain (amplitude of the signal) and phase (time difference of the signal burst).
2) Synchronization and alignment of M. Biceps Brachii, M. Triceps Brachii and M. Deltoideus are shown in this Bode chart with motor patterns (flexion and extension) and motor loads (8 and 16kg).
3) In these cross-spectra of myoelectric data, the phase of two muscular activities is revealed +10 -120 degrees and are identified with phenomena about +1.2msec. fast --5.6msec. slow.
4) In these cross-spectra, the amplitude of two muscular activities coincides with the values -5- -15dB for the activity of the agonist.
5) Frequency of myoelectric signals are the largest in the range of 40-55Hz and are disclosed in the range of 15-85Hz in these cross-spectra of two muscle groups. 6) In the Bode chart of various muscles control, the transfer function is expressed by the first-order lag function where the lag with frequency.
7) Function of motor regulation of M. Biceps Brachii is revealed to be superior to that of M. Triceps Brachii and M. Deltoideus.
8) As evaluating functions of motor synchronization and regulation, rapidity, stability and controlability are discussed in relation to parameters chosen in the Bode chart of these cross-spectra in plural muscular regulation.

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