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129 articles for “Gaussian”
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Research ArticleOpen accessEvery word in the titleA Gaussian Process Regression Model for the Traveling Salesman ProblemWanatchapong Kongkaew, Juta PichitlamkenProblem statement: Traveling Salesman Problem (TSP) is a famous NP hard problem. Many approaches have been proposed up to date for solving TSP. We consider a TSP tour as a dependent variable and its corresponding distance as an independent variable. If a predictive function can be formulated from arbitrary sample tours, the optimal tour may be predicted from this function. … …Journal of Computer Science, Vol. 8, Issue 10 · 30 Aug 2012 · 7,367 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Comparison of Experimental and Analytical Study of the Gaussian IntensityDistribution for Light Emitting Diodes BeamMohammad Syuhaimi Ab-Rahman, Luqman Al-Hakim Azizan, Harry Ramza, Zulkifli MusaProblem statement: Wireless communication using white Light Emitting Diodes (LEDs) is the latest research field for next-generation communication. This study studies the comparison of Gaussian intensity distribution of the white LED using experimental and analytical method. The white LEDs are conducted to transmit an audio signal to the receiver. The receiver circuit consist of solar cell connected to the speaker … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,269 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContent Based Image Retrieval using Novel Gaussian Fuzzy Feed Forward-Neural NetworkC. Ramesh Babu Durai, V. DuraisamyProblem statement: With extensive digitization of images, diagrams and paintings, traditional keyword based search has been found to be inefficient for retrieval of the required data. Content-Based Image Retrieval (CBIR) system responds to image queries as input and relies on image content, using techniques from computer vision and image processing to interpret and understand it, while using techniques from information … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,326 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Modified Gaussian Mixture Model for Color-Texture SegmentationM. Sujaritha, S. AnnaduraiProblem statement: This study presents a new, simple and efficient modified Gaussian mixture model based clustering algorithm for color-texture segmentation. The proposed mixture model introduces a new component density function which incorporates spatial information and the weighting factor for neighborhood effect is fully adaptive to the image content. Approach: It enhances the smoothness towards piecewise-homogeneous segmentation and reduces the edge-blurring … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,329 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSecurity Guard Robot Detecting Human Using Gaussian Distribution Histogram MethodMbaitiga ZacharieProblem statement: The purpose of any robotic is to perform tasks that a human would prefer not to do or hopefully do it with precision in order to avoid mistakes or when a human is out of duty due to fatigue or health reasons. The research into human detection into images has paid the way be aware of what is … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 7,056 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) AlgorithmD. Lita Pansy, M. MuraliMangoes are fruits that originated in South and Southeast Asia. Mango fruits are consumed in high volume worldwide. However, fruit, stem, root, and mango leaves are damaged by pests, and it has a significant negative impact on mango production. Many works were developed for the pest detection of mango; but, none of the works concentrated on the practical applicability and … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,063 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInvestigations on Orthogonal-Frequency Division Multiplexed-Mode-Division Multiplexed MM Wave-on-Free Space Optics Transmission using Laguerre-Gaussian Modal BeamsAnita Suman, Ajay KumarWe report the simulation-modelling and evaluation of an integrated Orthogonal-Frequency Division Multiplexed (OFDM)-Mode-Division Multiplexed (MDM) Radio-on-Free Space Optics (Ro-FSO) scheme carrying 2-independent 40 GHz millimetre waves (mm Wave) at 20 Gbps per channel for 5th generation wireless applications. The reported Ro-FSO scheme transports 2-independent 20 Gbps 4-Quadrature-Amplitude Modulated (4-QAM) signals, each carrying 40 GHz mm Wave signal over 2-distinct Laguerre-Gaussian … …Journal of Computer Science, Vol. 17, Issue 12 · 15 Dec 2021 · 6,200 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlind Source Separation under Semi-White Gaussian Noise and Uniform Noise: Performance Analysis of ICA, Sobi and JadeRMuna H. Fatnan, Zahir M. Hussain, Hind R. MohammedA comparative study is presented to evaluate the performance of three important Blind Source Separation (BSS) techniques under noisy conditions. The ability of FastICA, SOBI and JadeR is tested in separating several kinds of signals under noisy conditions, including human speech and frequency-modulated (quadratic and linear FM) signals. Additionally, different mixing matrices are used to inspect the effect of the … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Dec 2018 · 7,982 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWhether Gaussian Nucleus Entropy Helps? Case in Point is Prediction of Number of Cesarean BirthsRamalingam ShanmugamIn this article, entropy in the collected data about the Gaussian population mean is traced from its embryonic stage as new data are periodically collected. The traditional Shannon's entropy has shortcomings from the data analytics point of view and it creates a necessity to refine the Shannon's entropy. Its refined version is named Gaussian Nucleus Entropy in this article. Advantages … …Current Research in Biostatistics, Vol. 6, Issue 2 · 31 Dec 2016 · 8,056 accessesView PDFCite