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Tb setting time of the latch T t maximum propagation delay of the threshold gate Ti delay time of an inverter Τ a delay time of an AND gate.For the system shown in Fig. 1, T m is about 100 ns. ACKNOWLEDGMENT The author wishes to thank Dr. S. L. Hurst, University of Bath, England, for sending some DSTL ICs which have been used successfully in the above system. REFERENCES[1] S. Murugesan, "Simple circuit identifies last signal to arrive, "Elec. Eng. {London), Applied Ideas, p. 17,1975. [2] S. L. Hurst, "Digital-summation threshold-logic gate: a new circuit element," Proc. Inst. Correction to "Characterization of Frequency Stability: Uncertainty Due to the Finite Number of Measurements" σ[Δ(πι)] ~ ---Λ/2.3 m -2.6. (4) m -1 P. LESAGE AND C. AUDOIN The numerical value of Κλ in relation [2, eq. (30)] then becomes: Dr. J. A. Barnes from the National Bureau of Standards has pointed out to the authors that the derivation of [2, eq. (2)] from _ 1Abstract A time shared Basic cross assembler for the Intel 8080 microcomputer is reported. Also are included utility programs allowing such functions as editing and listing of source files. Combined they form a powerful tool for microcomputer programming without excessive system cost.A system for programming an Intel 8008 microcomputer system through the use of a time shared installation was reported in [1]. Because of numerous requests from both industrial companies and universities, a similar system for the Intel 8080 microcomputer will be described. The program package consists of six Basic language routines which allow the user to: store source programs by writing Intel assembly level instructions into a source file; list or punch a source file, complete with line numbers (these are suppressed during a punch); edit the source program; assemble the source program; and punch output of the object code in a format suitable for bootstrap loading directly into RAM.

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A practical solution to the problem of finding the Sup{Min(fl(x), f2(x)), where fl(x) and f (x) are N-dimensional fuzzy sets, is presented. 9 theorem describes an upper bound upon the maximal grade, which is demonstrated to be of use for clnster analysis. Numerical results are presented for an example of electromagnetic interference source identification. Tests indicate that fuzzy clustering, using the result of the theorem, is superior in the sense of minimum achievable error rate to template matching. 2