Vol 4, No 2

Table of Contents


Technological Unemployment and Socio-Economic Development: Historical Perspectives and the Future PDF
Todd J. Barry, Melissa K. Aho
Since the time of the Classical economists, such as Malthus, Ricardo, then to Marx and Keynes, dozens of scholars have made predictions using economic theory about the future, and whether technology will someday displace all workers, often called "technological unemployment."  The theory that is generally held is that "marginal productivity" essentially determines hiring and wages.  Along with this, popular science fiction since the advent of the Space Age has created folklore over what robots and super computers might bring.  As developed countries advance, we already see large changes in income inequality which may be due to the newest technological changes, leaving vast amounts of workers unskilled, and an elite class of experts in computer technologies.  Some current leading minds, from Hawking, to Gates, to Musk, have weighed in on this reemerging subject, with dire warnings.  How accurate are their concerns?  Although predictions about the future are usually wrong, this paper uses economic theory, as well as past misconceptions about the future, and events that are transpiring today to conjecture about the many ways technology in general may affect socio-economic life in developed and developing countries in the coming years.

Numerical Solution of Fredholm Integral Equations of Second Kind using Haar Wavelets PDF
Sumana R. Shesha, Savitha S., Achala L. Nargund
Integral equations have been one of the most important tools in several areas of science and engineering. In this paper, we use Haar wavelet method for the numerical solution of one-dimensional and two-dimensional Fredholm integral equations of second kind. The basic idea of Haar wavelet collocation method is to convert the integral equation into a system of algebraic equations that involves a finite number of variables. The numerical results are compared with the exact solution to prove the accuracy of the Haar wavelet method.

Image Compression Based on Data Folding and Principal Component Analysis PDF
Asia Mehdi Nasser, Heba Adnan Raheem
Image compression assumes a fundamental part in image handling field particularly when we need to send the image through a system. While imaging methods produce restrictive measures of information and preparing expansive information is computationally costly, information compression is crucial instrument for capacity and correspondence purposes. Numerous present compression strategies give a high compression rates however with impressive loss of image quality. This paper displays a methodology for image compression in spatial space utilizing an idea of data folding. data folding procedure has been connected on shading images with various size. A rowfolding is connected on the grayimage grid took after by a column folding iteratively till the image size diminishes to predefined esteem as indicated by the levels of folding and unfolding iteration) reconstruction the original image). While Data unfolding process connected in adores mode. Then using principal component analysis as a statistical technique concerned with elucidating the covariance structure of a set of variables and uses orthogonal transformation to convert that set of observations of possibly correlated variables into a set of values of linearly uncorrelated and ordered variables called principal components. Method is tested on several standard test images and found that the quality of reconstructed image and compression ratio are ameliorated. The proposed Method is tried on a few standard test images and found that the nature of reproduced image and compression proportion are improved.

Proximate Analysis and Nutritive Values of Ten Common Vegetables in South -West (Yoruba Land) Nigeria PDF
O.A. Akinwunmi, F.O. Omotayo
The proximate and mineral compositions of ten commonly eaten leafy vegetables in South-West Nigeria were determined. The vegetables varied in their composition both in terms of major food, classes (proximate) and the mineral compositions. The proximate range (%): 5.69-24.70(ash), 8.53-17.32(moisture), 1.21-30.59(fat), 10.40-21.15(fibre), 14.60-26.33(crude protein) and 4.72-56.50(carbohydrate). Pb was not detected in any of the samples, while Na, K, Ca, Mg, Zn, Fe, Cu, Mn and P were present in appreciable levels. The ten leafy vegetables were found to be good sources of nutrients to human body. The vegetables might play major roles in the economy of the farmers and rural dwellers. Efforts have to be made to cultivate these vegetables in large quantities so that they will be readily available for people in cities and towns.

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