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866 results for “Field Study”

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Research ArticleOpen accessAll words, across the recordLinear Smoothing of Noisy Spatial Temporal SeriesValter Di Giacinto, Ian dryden, Luigi ippoliti, Luca RomagnoliThe main objective of the study is the development of a linear filter to extract the signal from a spatio-temporal series affected by measurement error. We assume that the evolution of the unobservable signal can be modelled by a space time autoregressive process. In its vectorial form, the model admits a state space representation allowing the direct application of the … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,314 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordStudy of Properties of a Dispersant Used for Extracting Oil with High Gas-Oil RatioVladimir Verbitsky, Aleksey Dengaev, Oleg Zubkov, Dmitry KoshkinThe article presents the bench test results for a dispersant manufactured by Izhnefteplast Company, which specializes in batch production of unique submersible pumping equipment for oil extraction. The submersible equipment is unique in that the working elements of the pumping equipment are made of polymeric materials unlike the conventional concept of pumping machinery for oil production. The relevance of the … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 24 Feb 2016 · 7,296 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordField Evaluation of Sugarcane Orange Rust for First Clonal Stage of the CP Cultivar Development ProgramDuli Zhao, R. Wayne Davidson, Miguel Baltazar, Jack C. ComstockConsistent development of high-yielding sugarcane (a complex hybrid of Saccharum spp.) cultivars with resistance or tolerance to biotic and abiotic stresses is critical to commercial sugarcane production. Currently, orange rust (caused by Puccinia kuehnii E.J. Butler) is a big challenge for the sugarcane production in Florida, USA. A better understanding of sugarcane genotypic variability in response to orange rust disease … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 1 · 27 Jan 2015 · 7,903 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCHARACTERISTIC ANALYSIS OF DUAL GATE METAL OXIDE SEMICONDUCTOR FIELD EFFECT TRANSISTOR BY MATHEMATICAL MODELINGC.A. Abdul Nazar, V. KannanIn this study, the characteristics of DGMOSFET were obtained using mathematical modeling. The variations of characteristics were analyzed with different conditions into consideration. Different parameters behavior is analyzed, such as Transcapacitance variation with the gate voltage, threshold voltage variation with respect to lateral straggle parameter and temperature, mobile charge density variation is also analyzed and also the drain characteristics of … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 5 May 2014 · 6,622 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparative Analysis of Reversible Logic Based Carbon Nano Tube Field Effect Transistor Multiplexer PerformanceY. Varthamanan, V. KannanThis study is about the design and analysis of a reversible logic based multiplexer, that is realized using carbon nano tube transistor. Reversible logic realization of the digital circuits offers numerous advantages over conventional circuit design. Power analysis was performed using HSPICE simulation software and the results are obtained for the 2×1 and 4×1 multiplexer transient behavior. The power consumption … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 5 Oct 2013 · 6,642 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordParticle Swarm and Neural Network Approach for Fault Clearing of Multilevel InvertersR. M.S. Parvathi, M. SivakumarThis study presents a machine learning technique for fault diagnostics in induction motor drives. A normal model and an extensive range of faulted models for the inverter-motor combination were developed and implemented using a generic commercial simulation tool to generate voltages and current signals at a broad range of operating points selected by a Particle Swarm Optimization (PSO) based machine … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 8 Jun 2013 · 6,495 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCoherent Polarization Shift Keying Modulated Free Space Optical Links Over a Gamma-Gamma Turbulence ChannelX. Tang, Z. Ghassemlooy, S. Rajbhandari et al.Problem statement: The optical signal propagating through the Free Space Optical (FSO) channel suffers from irradiance and phase fluctuations caused by the atmospheric turbulence, which results in Bit Error Rate (BER) performance degradation. Approach: In this study the performance of the Multilevel Coherent Polarization Shift Keying (M-POLSK) based FSO communication system operating over the gamma-gamma turbulence channel is investigated. To … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 18 Jan 2012 · 7,957 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPolynomial Interpolation in the Elliptic Curve CryptosystemLiew Khang Jie, Hailiza KamarulhailiProblem statement: In this research, we incorporate the polynomial interpolation method in the discrete logarithm problem based cryptosystem which is the elliptic curve cryptosystem. Approach: In this study, the polynomial interpolation method to be focused is the Lagrange polynomial interpolation which is the simplest polynomial interpolation method. This method will be incorporated in the encryption algorithm of the elliptic curve … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 28 Oct 2011 · 7,835 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDesign and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate ArraysMd. Syedul Amin, Md. Mamun, Fazida Hanim Hashim et al.Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network. In financial forecasting, the approach for rules extractions is less pertinent and involves algorithms which are complex. The unsupervised network method lacks in comprehensibility and leads to ambiguity. Approach: The application of neural network technology to real-time processing of financial market analysis … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 12 Sep 2011 · 7,634 accessesView PDFCite