1 This paper presents a method of using hardware redundancy to ease the problem of fault testing in sequential logic networks. Sequential logic networks are constructed using two kinds of dual-mode logic gates, one of which is specifically required to initialize a feedback loop to some logic value. Initially, it is shown that these networks can be tested for all single stuck-at-faults with six ...

In this paper, we view that real-world scientific inference about an assertion of interest on unknown quantities is to produce a probability triplet (p, q, r), conditioned on available data. The probabilities p and q are for and against the truth of the assertion, whereas r = 1 − p − q is the remaining probability called the probability of “don’t know”. Such a (p, q, r)-formulation provides a p...

two different dual phase steels were prepared from low carbon manganese steel after the eliminationof the banding using the direct quenching (dq) and the step quenching (sq) procedures. different heattreatments resulted in different martensite morphologies, microstructures and mechanical properties. theheat treatments were designed in such a way to obtain a 0.25 volume fraction of martensite (v...

Designing appropriate materials and activities to enhance vocabulary learning is one of the primary goals of language courses. Among the claims about efficient pedagogical tasks is the Involvement Load Hypothesis (Laufer & Hulstijn, 2001) according to which vocabulary development is contingent on the amount of cognitive process a task involves. Building on the previous research on this hypothes...

Based on our proposed regularized multiple criteria linear programming (RMCLP) for binary classification problems, this paper extends this method to treat with nonlinear case. By applying dual theory, we derived the dual problem of optimization problem constructed in RMCLP, and then proved the solution of RMCLP can be computed by the solution of its dual problem, finally, we constructed Algorit...

This work deals with a general problem of testing multiple hypotheses about the distribution of a discrete-time stochastic process. Both the Bayesian and the conditional settings are considered. The structure of optimal sequential tests is characterized.