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48 results for “dimensional space”
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Research ArticleOpen accessIn the abstractESTIMATIONS OF TOTAL MASS AND ENERGY OF THE OBSERVABLE UNIVERSEDimitar ValevThe recent astronomical observations indicate that the expanding universe is homogeneous, isotropic and asymptotically flat. The Euclidean geometry of the universe enables to determine the total gravitational and kinetic energy of the universe by Newtonian gravity in a flat space. By means of dimensional analysis, we have found the mass of the observable universe close to the Hoyle-Carvalho formula M∼c3/(GH). … …Physics International, Vol. 5, Issue 1 · 21 Mar 2014 · 17,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractMOTION DETECTION USING THE SPACE-TIME INTEREST POINTSInsaf Bellamine, Hamid TairiSpace-Time Interest Points (STIP) are among all the interesting features which can be extracted from videos; they are simple, robust and they allow a good characterization of a set of regions of interest corresponding to moving objects in a three-dimensional observed scene. In this study, we show how the resulting features often reflect interesting events that can be used for … …Journal of Computer Science, Vol. 10, Issue 5 · 17 Jan 2014 · 6,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransformity: The Dependence of the Laws of Physics on Higher-Dimensional Coordinate TransformationsPaul S. WessonIn unified field theories with more than four dimensions, the form of the equations of physics in spacetime depends in general on the choice of coordinates in higher dimensions. The reason is that the group of coordinate transformations in (say) five dimensions is broader than in spacetime. This kind of gauge dependence is illustrated by two examples: a cosmological model … …Space Science International, Vol. 1, Issue 2 · 10 Dec 2013 · 9,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Bayesian Nearest Neighbor Search Using Marginal Object Weight Ranking Scheme in Spatial DatabasesK. Balasaravanan, K. DuraiswamyProblem statement: A database that is optimized to store and query data that is related to objects in space, including points, lines and polygons is called spatial database. Identifying nearest neighbor object search is a vital part of spatial database. Many nearest neighbor search techniques such as Authenticated Multi-step NN (AMNN), Superseding Nearest Neighbor (SNN) search, Bayesian Nearest Neighbor (BNN) … …Journal of Computer Science, Vol. 8, Issue 8 · 30 Jul 2012 · 7,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractTruncated Estimate in Log-Binomial Model: Algorithm and SimulationLuyan Dai, Yang Li, Ye ShenProblem statement: Relative risk has concrete meanings of comparing two groups and measuring the association between exposures and outcomes in medical and public health studies. Log-binomial model, using a log link function on binary outcomes, is straightforward to estimate risk ratios, whereas generates boundary problems. When the estimates are located near the boundary of constrained parameter space, common approaches or … …Current Research in Biostatistics, Vol. 2, Issue 1 · 7 May 2012 · 8,291 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Neighbors Atomic Coordinate Tables and Plot-Graphical Representation for Tertiary Structure in ProteinsHamed Fawareh, Jehad Q. Odeh, Nawal Al-OmoushProblem statement: Contact map prediction is an interesting method for its application in fold recognition and protein tertiary structure determination. Approach: This study developed a method to predict a protein tertiary structure from the amino acid sequence using contact map. The method showed prediction a protein in a binary space of exposure states. The approach produced several procedures to finds … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Two-Dimensional Wave Prediction Model Along the Best Track of Typhoon Linda 1997Worachat Wannawong, Usa W. Humphries, Prungchan Wongwises et al.Problem statement: A two-dimensional wave prediction model along the best track of Typhoon Linda 1997 was interested to study the impact of typhoon wind-wave characteristics. The dynamical wave model with deep water condition was used to predict the wave height (Hs) of Typhoon Linda before and after entering into the Gulf of Thailand (GoT). Approach: The standard one-way nested grid … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,571 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Dimensional Multidirectional Geographical IP Traceback: Direction Ratio Sampling AlgorithmA. Rajiv Kannan, K. Duraiswamy, K. SangeethaProblem statement: An important and challenging problem is that of tracing DOS/DDOS attack source. IP traceback is the process of identifying the actual source(s) of attack packets, So that the attackers can be held accountable as also in mitigating them, either by isolating the attack sources or by filtering packets for away from the victim. Several IP traceback schemes have … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,233 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuadratic Interpolation Algorithm for Minimizing Tabulated FunctionE.A. Youness, S.Z. Hassan, Y.A. El-RewailyProblem statement: The problem of finding the minimum value of objective function, when we know only some values of it, is needed in more practical fields. Quadratic interpolation algorithms are the famous tools deal with this kind of these problems. These algorithms interested with the polynomial space in which the objective function is approximated. Approach: In this study we approximated … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,555 accessesView PDFCite