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62 results for “probability-based method”
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Research ArticleOpen accessIn the abstractCross-Layer Design for Reducing the Energy Consumption based on Mobility Parameter in DSR for Mobile Ad-Hoc NetworkV. Bhanumathi, R. DhanasekaranProblem statement: The main idea is to design an energy efficient algorithm for reducing the amount of overhearing based on RSS value in a Mobile Ad-hoc Network (MANET). Approach: A cross layer framework is designed by combining the physical, MAC and network layer. RSS value is taken from the physical layer and it is used for finding the Mobility Parameter … …Journal of Computer Science, Vol. 8, Issue 4 · 28 Jan 2012 · 6,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel for Analyzing Counts with Over-,Equi-and Under-Dispersion in Actuarial StatisticsNaushad Mamode Khan, Maleika Heenaye-Mamode KhanProblem statement: Actuarial science has grown much popularity in the recent years due to the growth of insurance companies. In practice, the data involved in actuarial science are mostly counts which may be over-,equi-or under-dispersed. Many probability distributions were proposed to model such data such as the mixed Poisson distributions. However, the estimation methodologies based on such mixed Poisson distributions … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposed Reliability Techniques on Soil and Rock ExcavationsS. TangchawalProblem statement: Assessment of the ground mass excavation is normally done by the deterministic method. A quantitative indication of mass stability provides as an index term known "the Factor of Safety (F.S.)". There are uncertain to some degrees, such as only a single value of mass properties is used or variation in geologic conditions, computed values of F.S. are never … …Energy Research Journal, Vol. 2, Issue 1 · 26 Jan 2012 · 7,411 accessesView PDFCite
Review ArticleOpen accessIn the abstractFace Recognition as a Biometric ApplicationRelly Victoria Virgil PetrescuA facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from the given image with faces within a database. It is also described as … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 14 May 2019 · 18,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh-Dose Vitamin D3 Intake Is Associated with Decreased Symptoms of Multiple SclerosisMichelle L. Steinwart, David M. DuriancikMultiple sclerosis (MS) is one of the most widespread disabling autoimmune neurological conditions of adults between the ages of 20 and 40 globally. Medical researchers do not completely understand the possible causes of MS, nor have they determined the rate of progression. A limited number of clinical trials conducted in recent years have explored the link between vitamin D deficiency … …American Journal of Immunology, Vol. 14, Issue 1 · 4 Sep 2018 · 9,283 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstablishing an Adaptive Production-Procurement System with Markov Chain Approach Associated with 3C TheoryChun-Ta LinProblem statement: In this study, we classify the imperfect situations that the unreliability of production and the defective products might be incurred from production process into eight independently recurrent categories. Approach: With the property of recurrence of Markov chain, the limiting probability of each imperfect production category can be calculated through the transition probabilities matrix generated from these imperfect production … …Journal of Mathematics and Statistics, Vol. 7, Issue 3 · 18 Jul 2011 · 7,352 accessesView PDFCite
Research ArticleOpen accessIn the abstractPossibility and Evidence-Based Reliability Analysis and Design OptimizationHong-Zhong Huang, Liping He, Yu Liu et al.Engineering design under uncertainty has gained considerable attention in recent years. A great multitude of new design optimization methodologies and reliability analysis approaches are put forth with the aim of accommodating various uncertainties. Uncertainties in practical engineering applications are commonly classified into two categories, i.e., aleatory uncertainty and epistemic uncertainty. Aleatory uncertainty arises because of unpredictable variation in the performance … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 26 Mar 2013 · 7,663 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeast Absolute Deviation Regression and Least Squares for Modeling Retention Indices of Set Compounds Food and Pollutants of the EnvironmentFatiha Mebarki, Khadija Amirat, Salima Ali Mokhnach, Djellol MessadiConsidering the importance of the statistical analysis of regression in modeling based separately on study for Quantitative structure retention indices on Carbowax 20 M (ICw20M) and OV-101 columns (IOV-101) relationships (QSRR) are determined for 114 pyrazines. The detection of influential observations for the standard least squares regression model is a problem which has been extensively studied. Least Absolute Deviation regression … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 5 Jun 2017 · 7,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractNegative Binomial-Lindley Distribution and Its ApplicationHossein Zamani, Noriszura IsmailProblem statement: The modeling of claims count is one of the most important topics in actuarial theory and practice. Many attempts were implemented in expanding the classes of mixed and compound distributions, especially in the distribution of exponential family, resulting in a better fit on count data. In some cases, it is proven that mixed distributions, in particular mixed Poisson … …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 15,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject Recognition Based on Image Segmentation and ClusteringS. Thilagamani, N. ShanthiProblem statement: This study deals with object recognition based on image segmentation and clustering. Acquiring prior information of an image is done via two separate processes. Approach: The first process deals with detecting object parts of an image and integration of detected parts into several clusters. All these cluster centers form the visual words. The second process deals with over … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 7,074 accessesView PDFCite