A Computer Code for Generating Plots of Load Distribution on Spanwise Sections on a wing

A computer code is developed to generate plots using UNIVAC 1100 system and CALCOMP 1039 plotter. The plots give spanwise load distribution on wings

Emerging Smallholder Rubber Farming Systems in India and Thailand: A Comparative Economic Analysis

This paper provides a comparative perspective on the performance of smallholder rubber farm livelihood systems based on case studies of two regions in India and Thailand. The analysis of the emerging farming systems in the two countries’ rubber farms reveals that the rubber monocrop system is viable, provided prices remain remunerative and primary markets efficient. Findings further indicate the dominant contribution ofrubber production to the gross household income of the rubber growers in the integrated farming systems. Nevertheless, from a sustainable livelihoods perspective, the socioeconomic significance of the rubber integrated farming systems assumes greater prominence, given the fact that small producers are highly vulnerable to market uncertainties. It has been found that rubber integrated livelihood systems provide the smallholders with ample capability for resilience during crises and ensure a sustained flow of income. The two case studies demonstrate the need to promote and scale up rubber integrated farm livelihood systems in the smallholder-dominated rubber producing countries in the Asian region. The paper also recommends enhancing the capabilities of the smallholders by strengthening their access to the five forms of capital that sustain their livelihood.

Stochastic Neural Networks with the Weighted Hebb Rule

Neural networks with synaptic weights constructed according to the weighted Hebb rule, a variant of the familiar Hebb rule, are studied in the presence of noise(finite temperature), when the number of stored patterns is finite and in the limit that the number of neurons $N\rightarrow \infty$. The fact that different patterns enter the synaptic rule with different weights changes the configuration of the free energy surface. For a general choice of weights not all of the patterns are stored as {\sl global} minima of the free energy function. However, as for the case of the usual Hebb rule, there exists a temperature range in which only the stored patterns are minima of the free energy. In particular, in the presence of a single extra pattern stored with an appropriate weight in the synaptic rule, the temperature at which the spurious minima of the free energy are eliminated is significantly lower than for a similar network without this extra pattern. The convergence time of the network, together with the overlaps of the equilibria of the network with the stored patterns, can thereby be improved considerably.Comment: 14 pages, OKHEP 93-00