Redistribution Through Education and Other Mechanisms Under Capital‐Market Imperfections and Uncertainty: A Welfare Effect Analysis

Abstract. This paper considers a two‐period model of endogenous human capital formation under the credits‐market imperfection and uncertainty assumptions. We compare in the first part of the paper ex‐ante and ex‐post general‐equilibrium effects of the education subsidy policy to those of the negative income tax and the unskilled wage subsidy regimes. We show that the education subsidy policy raises an efficiency‐inequality trade‐off issue, and therefore it is optimal unless the degree of inequality aversion is relatively high and financing the subsidy is not too distorsive. Public loans are generally claimed to provide a solution for such issue. We explore the implications of implementing the public loan under several schemes in the second part of the paper. We show that combining between a pure public loan and education subsidies provides higher levels of welfare than these two policies taken separately provided that the inequality aversion degree is high. For low degrees of inequality aversion, the pure public loan is the optimal policy.     

Blind source separation filters-based-fault detection and isolation in a three tank system

Fault detection and Isolation takes a strategic position in modern industrial processes for which various approaches are proposed. These approaches are usually developed and based on a consistency test between an observed state of the process provided by sensors and an expected behaviour provided by a mathematical model of the system. These methods require a reliable model of the system to be monitored which is a complex task. Alternatively, we propose in this paper to use blind source separation filters (BSSFs) in order to detect and isolate faults in a three tank pilot plant. This technique is very beneficial as it uses blind identification without an explicit mathematical model of the system. The independent component analysis (ICA), relying on the assumption of the statistical independence of the extracted sources, is used as a tool for each BSSF to extract signals of the process under consideration. The experimental results show the effectiveness and robustness of this approach in detecting and isolating faults that are on sensors in the system.