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135 results for “Simulation Error”
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Technical ReportOpen accessIn the abstractDesign of an 8-bit Incremental ADCXinlong Cai, Ze Chen, Zehong CaoThis technical report demonstrated a design an 8-bit switched-capacitor incremental ADC in UMC 0.13 μm CMOS. The design requirements are Supply voltage: 1.2V, Reference voltage (Vref): 1V, Resolution: 8 bits, Output data rate: 100 samples per second and Input voltage range: 0V to 1V. Furthermore, the determine the architecture of incremental A/D converter involved in fuzzy theory. The output waveforms … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 1 Jun 2018 · 8,170 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Segmentation Using Dynamic Windows and Thresholds for Arabic and English LanguagesYahia Hasan JazyahSegmentation of audio data such as human speech (splitting each word in separate audio file – .WAV file) has been a major concern when working with multimedia such as recordings from radio or TV. The main focus of the segmentation of boundaries of spoken language has been on using energy and zero crossing thresholds for endpoint detection. Errors in endpoint … …Journal of Computer Science, Vol. 14, Issue 4 · 18 Apr 2018 · 7,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractTracking Algorithm for Estimating the Orientation Angles of the Object Based on the Signals of Satellite Radio Navigation SystemAlexandr PerovIn the article, the theory of optimal filtering of information processes is used to synthesize optimal one-stage estimation algorithm for the object orientation angles using the signals of the satellite navigation system. The article also provides equations of optimal filtering, as well as their representation in the form of the tracking system comprising of an orientation angles discriminator and a … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 7 Dec 2015 · 6,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolving Autoregressive Predictor for Time Series ForecastingDe Z. Li, Wilson Wang, Fathy IsmailAutoregressive (AR) model is a common predictor that has been extensively used for time series forecasting. Many training methods can used to update AR model parameters, for instance, least square estimate and maximum likelihood estimate; however, both techniques are sensitive to noisy samples and outliers. To deal with the problems, an evolving AR predictor, EAR, is developed in this study … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 8 Apr 2015 · 6,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractCoupled Hydrodynamic-Water Quality Model for Pollution Control Scenarios in El-Burullus Lake (Nile Delta, Egypt)A. El-Adawy, A. M. Negm, O. C. Saavedra V et al.El-Burullus Lake is affected by increasing and extensive human activities, rapid social-economic development and the construction of fish ponds nearby. This has significantly impacted the health of the lake eco-system. On the foundation of the two-dimensional depth averaged hydrodynamic model, distributions of the salinity, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) and Ammonium (NH4) were modeled. … …American Journal of Environmental Sciences, Vol. 10, Issue 6 · 10 Nov 2014 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractESTIMATED AND ANALYSIS OF THE RELATIONSHIP BETWEEN THE ENDOGENOUS AND EXOGENOUS VARIABLES USING FUZZY SEMI-PARAMETRIC SAMPLE SELECTION MODELL. MuhamadSafiih, A. A. Kamil, M. T. Abu OsmanAn important progress within the last decade in the development of the selectivity model approach to overcome the inconsistent results if the distributional assumptions of the errors terms are made this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. A new framework … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 15 Jul 2014 · 6,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractMACHINE LEARNING APPROACHES IN IMPROVING SERVICE LEVEL AGREEMENT-BASED ADMISSION CONTROL FOR A SOFTWARE-AS-A-SERVICE PROVIDER IN CLOUDR. S. Mohana, P. ThangarajSoftware as a Service (SaaS) offers reliable access to software applications to the end users over the Internet without direct investment in infrastructure and software. SaaS providers utilize resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider in order to serve their customers. Internal hosting can ample cost of administration and maintenance … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,959 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Byzantine Fault-Tolerant Replication Technique for Peer-to-Peer Content DistributionAyyasamy Sellappan, Sivanandam NatarajanProblem statement: In peer-to-peer networks, Byzantine fault tolerance refers to the capability of a system to tolerate Byzantine faults. It can be achieved by replicating the server and by ensuring all server replicas reach an agreement on the input despite Byzantine faulty replicas and clients. Since malicious attacks and software errors can cause faulty nodes to exhibit Byzantine behavior, Byzantine-fault-tolerant … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractInduction Motor Flux Estimation using Nonlinear Sliding ObserversHakiki Khalid, Mazari Benyounès, Djaber Sid’AhmedA nonlinear sliding flux was proposed for an induction motor. Its dynamic observation errors converge asymptotically to zero, independently from the inputs. The aim of this work was to study the robustness of this observer with respect to the variation of the rotor resistance known to be a crucial parameter for the control. The dynamic performance of this sliding observer … …Journal of Mathematics and Statistics, Vol. 3, Issue 2 · 30 Jun 2007 · 6,798 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Virtual Modeling Approach for Mango Tree Biomass Estimation Using Allometric Equations and Functional-Structural Plant Modeling (FSPM) with GroIMPOki Marzuqi, Ditdit Nugeraha Utama, Azhar Indra RusmanaBiomass represents a critical ecological contribution of trees, including mango (Mangifera indica L.), necessitating rigorous academic approaches for quantification and modeling. This study develops a computational model to enhance understanding of mango tree morphology and physiology using Functional-Structural Plant Modeling (FSPM) implemented through GroIMP software. Comparative analysis reveals that the FSPM-based biomass model generates higher estimates than traditional allometric equations, … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,294 accessesView PDFCite