A Reflection of Nature Philosophy in Architecture with a Metaphysical Perspective

This paper indicates that the absence of nature as a great source of energy causes daily tensions in architecture and the fabric of life itself. It directly implies that this loss of contact with the source causes abnormalities in society. The discovery of metaphysical forces of nature and their impacts on human souls opened a chapter for such energies to be used in quotidian life. Considering the relation between human and nature from one side and the architecture and nature’s metaphysics interaction, this research was after finding the righteous application of such elements in architecture and through that in society. Conclusions and findings are represented on relation between human soul and nature. Keywords: Tension, Metaphysics, Nature, Architecture DOI: 10.7176/ADS/87-04 Publication date: November 30th 202

Improving precision of objective image/video quality meters

AbstractAlthough subjective test is the most accurate image/video quality assessment tool, it is extremely time demanding. In the past two decades, a variety of objective quality measuring tools, such as SSIM, IW-SSIM, SPSIM, FSIM, etc., have been devised, that well correlate with the subjective tests results. However, the main problem with these methods is that they do not discriminate the measured quality well enough, especially at high quality range. In this article we show how the accuracy/precision of these Image Quality Assessment (IQA) meters can be increased by mapping them into a Logistic Function (LF). The precisions are tested over a variety of image/video databases. Our experimental tests indicate while the used high-quality images can be discriminated by 23% resolution on the MOS subjective scores, discrimination resolution by the widely used IQAs are only 2%, but their mapped IQAs to Logistic Function at this quality range can be improved to 9 − 17%, depending on the characteristics of the LF function. Moreover, their precision at low to mid quality range can also be improved. At this quality range, while the discrimination resolution of MOS of the tested images is 23.2%, those of raw IQAs is nearly 8.9%, but discrimination of their adapted logistic functions can be very close to that of MOS. Moreover, with the used image databases the Pearson Linear Correlation Coefficient (PLCC) of MOS with the logistic function can be improved by 2 − 20% as well.</jats:p