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41 results for “Root Mean Square (RMS)”
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Research ArticleOpen accessIn the abstractEstimating the Scouring Depth of Bridge Pier Using Self-Organizing Neural Networks (SOM)Abolfazl Rafat, Gholam Abbas Barani, Amineh NaseriScouring is caused as a result of erosion of river bed by water flow and materials carried by water. This research estimates the scouring depth using self-organizing neural network (SOM). The obtained findings were compared with findings of other models. It was found that self- organizing neural network (SOM) has higher correlation coefficient (0.98), compared to other methods. It was … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 27 Nov 2017 · 7,500 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Sensor Modeling of Product Concentration in Glutamate Fermentation using Gaussian Process RegressionRongjian Zheng, Feng PanThe on-line control of glutamate fermentation process is difficult, owing to the typical uncertainties of biochemical process and the lack of suitable on-line sensors for primary process variables. A prediction model based on Gaussian Process Regression (GPR) is presented to predict glutamate concentration online. First, Partial Least Squares (PLS) is applied to extract the features of the input secondary variables … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 3 · 17 Sep 2016 · 7,663 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeobody Architecture and Petroleum Potential of the Yowi Field, Offshore Eastern Niger Delta, NigeriaPrince Suka Momta, Minapuye Isaac OdigiA study on geobody architecture and petroleum potential of the Yowi Field has been carried out by integrating well logs and 3D seismic data. The objectives of this study include: The determination of the lateral continuity of key horizons; identification of gross geobody distribution and architecture; and the petroleum potential of the field. Well log correlation shows that key horizons … …Current Research in Geoscience, Vol. 6, Issue 1 · 16 Dec 2015 · 7,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractDESIGN OF CANDIDA ANTARCTICA LIPASE B THERMOSTABILITY IMPROVEMENT BY INTRODUCING EXTRA DISULFIDE BOND INTO THE ENZYMEUsman Sumo Friend Tambunan, Ahmad Randy, Arli Aditya ParikesitCandida Antarctica Lipase B (CALB) is extensively studied in enzymatic production of biodiesel, pharmaceutical products, detergents and other chemicals. One drawback of using CALB is its relatively low optimum temperature at 313 K (40°C). The objective of this research is to design CALB mutant with improved thermostability by introducing extra disulfide bond. Molecular dynamic simulation was conducted to get better … …OnLine Journal of Biological Sciences, Vol. 14, Issue 2 · 18 Apr 2014 · 9,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractDrying Characteristics of the Borneo Canarium odontophyllum (Dabai) FruitDayang Fredalina Basri, Ahmad Fudholi, Mohd Hafidz RuslanThe quality and shelf-life of an underutilized fruits are compromised by the conventional method of drying. We therefore proposed using hot-air chamber to develop the drying curves of Canarium odontophyllum (dabai) fruit. Present study provides evidence of the best mathematical model to demonstrate the drying characteristics of this indigenous fruit and thus, may generate or add to the existing database. … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 3 · 5 Sep 2012 · 8,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Noises on Fundamental Frequency Extraction Using Cepstral Analysis for Thai DialectsSuphattharachai ChomphanProblem statement: The fundamental frequency (F0) of the human speech corresponds to the vibration frequency of the human vocal chords. To extract the F0 from a speech utterance, one approach is based on the Cepstral analysis. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 28 Jul 2012 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimulation of Wheat Cultivar Response to Irrigation Treatments using of CERES-Wheat ModelFatemeh Majidi Fakhr, Farzad Paknejad, Mohammad Nabi Ilkaee et al.Problem statement: Crop models are used as tools for enhancing agricultural research through the identification of gaps in knowledge as well as by providing support for decision making in agricultural planning. Approach: In order to evaluation of CERES-Wheat model on five cultivars of winter wheat under Karaj weather condition in Full Irrigation (FI) and Terminal Irrigation at Flowering (TIF) an … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 2 · 14 Mar 2012 · 7,956 accessesView PDFCite