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DYNAMICAL AND STATISTICAL ASPECTS OF GRAVITATIONAL CLUSTERING IN THE UNIVERSE
SAHNI V. The Korean Astronomical Society 1996 Journal of The Korean Astronomical Society Vol.29 No.suppl1
We apply topological measures of clustering such as percolation and genus curves (PC & GC) and shape statistics to a set of scale free N-body simulations of large scale structure. Both genus and percolation curves evolve with time reflecting growth of non-Gaussianity in the N-body density field. The amplitude of the genus curve decreases with epoch due to non-linear mode coupling, the decrease being more noticeable for spectra with small scale power. Plotted against the filling factor GC shows very little evolution - a surprising result, since the percolation curve shows significant evolution for the same data. Our results indicate that both PC and GC could be used to discriminate between rival models of structure formation and the analysis of CMB maps. Using shape sensitive statistics we find that there is a strong tendency for objects in our simulations to be filament-like, the degree of filamentarity increasing with epoch.
Optimal CC Method : Improved Results
Gurpreet Kaur,Pooja,Varsha Sahni 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
Color constancy allows visitors to recognize color in the diversity of conditions, and to see some regularity in the color. Generally, color constancy is a method of which calculates the particular impact involving discrete light sources using a digital image. The particular image documented with a camera is resolute by several components: the actual physical information with the picture, the particular illumination occurrence within the scene, as well as the features with the digital camera. Color based images have several applications. Retrieval based on object colors must take into an explanation the features that manipulate the pattern of color images: illumination conditions, sensor spectral sensibilities and surface reflectance. Tracking objects in environments under non-uniform lighting condition is mainly challenging as the practical appearance may alter in space and time [1]. We create an integrated effort of fuzzy membership with edge preserving filtering. As fuzzy membership exploits two classes because we make use of dual membership functions in the research work. In this paper, improved results have extracted for color constancy from optimal method based on fuzzy membership with edge preservation filtering. An evaluation of the proposed technique is also drawn with existing techniques, the comparisons have obviously shown that the fuzzy based color constancy outperforms over the available techniques.
A Pipelined Architecture for Maze Routing
Won Young Ju,Sahni Sartaj K. Military Operations Research Society of Korea 1987 한국국방경영분석학회지 Vol.13 No.2
This paper presents a hardware accelerator for the maze routing problem. This accelerator consists of three 3 stage pipelines. Banked memory is used to avoid memory read/write conflicts and obtain maximum efficiency.