iv 1 Components of Reliability and U 1 2 Relative Utility Index Ur for Composite Scores 4 3 Estimating Ur for Raw Scores and Ũr for Scale Scores 5 3.1 Raw Scores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.2 Scale Scores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3.2.1 Variance of T ̃ . . . . . . . . . . . . . . . . . . . . . . . . 6 X 3.2.2 Covariance of T...

This paper studies a general notion of flatness in the enriched context: P-flatness where the parameter P stands for a class of presheaves. One obtains a completion of a category A by considering the category F latP(A) of P-flat presheaves over A. This completion is related to the free cocompletion under a class of colimits defined by Kelly. We define a notion of Q-accessible categories for a f...

The fourth party logistics which acts as a new role will increasingly play more and more important functions. In this paper, for a given deformation problems of 4PL providers’ evaluation, We builds up a fourth party logistics evaluating indicator system based on four factors, which are quality, technical abilities, collaboration and price. Besides, we studies the analysis methods of grey correl...

We show theoretically that the hypothesis of criticality as a theory of long-range fluctuation in the human brain may be distinguished from the theory of passive filtering on the basis of macroscopic neuronal signals such as the electroencephalogram, using novel theory of narrowband amplitude time-series at criticality. Our theory predicts the division of critical activity into meta-universalit...

The architectures of high-end embedded system have evolved into heterogeneous distributed integrated architectures. The scheduling of multiple distributed mixed-criticality functions in heterogeneous distributed embedded systems is a considerable challenge because of the different requirements of systems and functions. Overall scheduling length (i.e., makespan) is the main concern in system per...

We derive demand-bound functions for mixedcriticality sporadic tasks, and use these to determine EDFschedulability. Tasks have different demand-bound functions for each criticality mode. We show how to shift execution demand from highto low-criticality mode by tuning the relative deadlines. This allows us to shape the demand characteristics of each task. We propose an efficient algorithm for tu...