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Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractANN Based Prediction of Effect of Reinforcements on Abrasive Wear Loss and Hardness in a Hybrid MMCP. Sathyabalan, V. Selladurai, P. SakthivelProblem statement: The reinforcements added to an alloy lead to variation in properties. The content and size of the reinforcement influences the properties of composites. Very little research has been carried out in hybrid composites. Work on hybrid LM6 aluminium alloy metal matrix composites (MMC) with flyash and SiC has been initiated here. The effect of the four parameters, size … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural NetworkShebel ALSABBAH, Tariq MUGHRABIThe speed of ultrasonic motor of piezo-electric type is usually measured using mechanical sensors such as pulse encoders. However, these sensors are costly and bulky. In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multilayer perception neural network (MLP-NN). The proposed model evaluates rotational speed and load torque based on the amplitude and … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power SystemsSeyed Abbas Taher, Reza Hematti, Ali Abdolalipour, Seyed Hadi TabeiLoad Frequency Control (LFC) is one the most important issues in electrical power system design/operation and is becoming much more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple Proportional-Integral (PI) or Integral (I) controllers. However, since the PI or I control parameters are usually tuned based on classical or … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved TCP Connection Protocol over Wireless Mobile Networks with Mobile Nodes HandoffMaen M. Al AssafProblem Statement: This study proposes a TCP layer protocol (Div-TCP) that aims to give a solution for communication over wireless mobile networks that have the occurrence of handoff at anytime. It describes a topology of wireless mobile network and the handoff process as an ordinary process in that type of networks which may cause segments losses. Approach: Wireless mobile networks … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,675 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Twelve Dielectric Moisture Probes for Soil Water Measurement under Saline ConditionsM. Inoue, B.A. Ould Ahmed, T. Saito, M. IrshadRecently the research on the determination of soil water content and electrical conductivity using automated technique has received tremendous attention. Selecting the type of system that should be used for soil water measurement under saline conditions depends on its precision. A laboratory study was carried out to measure the soil water content (θ) and soil solution electrical conductivity (ECw) using … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 7,450 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power SystemsSeyed Abbas Taher, Reza HemattiThe Load Frequency Control problem has been a major subject in electrical power system design/operation and is becoming more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple proportional-integral controllers. However, since the PI control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 7,088 accessesView PDFCite
Research ArticleOpen accessIn the abstractDepth Estimation of 2-D Magnetic Anomalous Sources by Using Euler Deconvolution MethodM. G.E. Dawi, Liu Tianyou, Shi Hui, Luo DapengEuler deconvolution method is the method of depth estimation which is best suited for anomalies caused by isolating and multiple anomalous sources. In the present study, algorithmic programs based on generalizing linear inverse theory, uses a least square sense to solve for Euler’s equation is being written. The Euler technique that can estimate the location of a simple body from … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 7,459 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 abstractCharacterization of the Changes in Opened Sufu Bottles During Storage with Mathematical ModelJingJing Liang, Dawei Li, Ruiqin Shi et al.Artificial Neural Network (ANN) is a type of nonlinear empirical model, which can clarify the complex relation between the inputs and outputs that allows it to approximate any nonlinear function for making predictions. The objective of this study is to monitor the Biogenic Amines (BAs) content and selected physicochemical properties of sufu (a traditional Chinese fermented soybean product) along time. … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 4 · 12 Dec 2018 · 9,353 accessesView PDFCite