1,602 research outputs found

    Effects of variable resistance on smart structures of cubic reconnaissance satellites in various thermal and frequency shocking conditions

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    Piezoelectric materials are widely used as smart structures in cubic reconnaissance satellites because of their sensing, actuating, and energy-harvesting abilities. In this study, an analytical model is developed in specific mechanical thermal shocking conditions. A special circuit and apparatus is designed for experimentation on the basis of the inverse piezoelectric effect. An equivalent circuit method is used to establish the relationship between the resistance and peak-to-peak voltage of lead zirconate titanate used as smart materials for cubic reconnaissance satellites. Various frequencies and resistance were applied in different mechanical thermal shocking conditions. Moreover, numerical simulations are conducted in various mechanical loading conditions to determine the accumulative effect. The model provides a novel mechanism to characterize the smart structures in cubic reconnaissance satellites. A rise in temperature increases peak-to-peak voltage; a rise in frequency decreases peak-to-peak voltage; and intensified resistance decreases peak-to-peak voltage. Based on experimentation and simulation, the optimum resistance is predicted for the various frequencies and temperatures. The various conditions may correspond to the different applications of smart structures for cubic reconnaissance satellites. The analytical calculations are in good agreement with experimental and numerical calculations. © 2017, The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany

    Analysis of socioeconomic factors that dampen the flow of foreign direct investment

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    It is difficult to neglect the prominence of socio-economic factors that dampen the flow of Foreign Direct Investment (FDI) to a country, inspite of either being developed or developing. This study, however, looked into such factors that affect FDI inflows towards Pakistan.This study gains appreciable position due to an attempt of looking into the theoretical perception, some of whom are tested while others are not, that explain such determinants of FDI.Exercising Auto Regressive Distributed Lag (ARDL) technique of investigation on data ranging from 1974 to 2014 along with Error Correction Model (ECM) and bound test, some interesting facts, apart from conventional, though not in Pakistan or either quite rare, are found on the socioeconomic variables mix chosen in this research.It is suggested that the government is to look for specific policies to cater the problem of corruption that is found as a major hinge in the way of FDI inflows

    Texture based Image Splicing Forgery Recognition using a Passive Approach

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    With the growing usage of the internet in daily life along with the usage of dominant picture editing software tools in creating forged pictures effortlessly, make us lose trust in the authenticity of the images. For more than a decade, extensive research is going on in the Image forensic area that aims at restoring trustworthiness in images by bringing various tampering detection techniques. In the proposed method, identification of image splicing technique is introduced which depends on the picture texture analysis which characterizes the picture areas by the content of the texture. In this method, an image is characterized by the regions of their texture content. The experimental outcomes describe that the proposed method is effective to identify spliced picture forgery with an accuracy of 79.5%
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