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32 articles for “Nonlinearity”
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Research NotesOpen accessIn the keywordsNew Research Perspectives on Thermostatted Kinetic ModelsCarlo BiancaThis paper presents the new research directions that can be followed in the modeling of complex living systems by means of the tools of the thermostatted kinetic theory. The main aim is to invite the researchers that work in the field of applied mathematics to contribute to further developments of the theory with particular attention to applications in biology, crowds … …Journal of Mathematics and Statistics, Vol. 11, Issue 1 · 9 Jun 2015 · 6,658 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBispectral Analysis of Scalp Electroencephalograms: Quadratic Phasecoupling Phenomenon in Detecting Brain TumorV. Salai Selvam, S. ShenbagadeviSince the power spectral analysis of a non-Gaussian process generated by a nonlinear mechanism e.g., EEG, does not provide much information on the underlying nonlinear dynamics due to the lack of phase information, the higher-order statistics such as the bispectra are used to better understand the underlying nonlinear dynamics e.g., the quadratic phase coupling phenomena. The quadratic phase couplings have … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 27 Mar 2013 · 6,537 accessesView PDFCite
Research NotesOpen accessIn the abstractTurbulent-Fluid-Based Simulation of Dynamic Liquefaction Using Large Deformation Analysis of Solid PhaseRohollah TaslimianTo accurately simulate the cyclic liquefaction phenomenon, it is necessary to establish a well-defined coupling between the solid particles and the high-velocity percolating pore fluid. For this purpose, the existing literature extensively examines large deformation liquefaction analyses for the solid phase, regardless of the fluid flow nonlinearity. On the other hand, the transient fluid pressure gradient governed by the turbulence … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 2 · 22 Feb 2024 · 6,015 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence Techniques and External Factors used in Crime Forecasting in Violence and Property: A ReviewRebaz Mala Nabi, Soran Ab. M. Saeed, Habibollah HaronCrime forecasting is beneficial in providing useful information to authorities in planning effective crime prevention measures. The two types of analysis used in crime forecasting are univariate and multivariate. Comparatively, multivariate analysis provides better forecasting accuracy because of its ability to discover crime patterns not previously seen. Crime is strongly influenced by several external factors, including economic, social and demographic. … …Journal of Computer Science, Vol. 16, Issue 2 · 19 Feb 2020 · 7,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved 3D Imaging Performance of AFMMd Sohel RanaOver the last three decades the Atomic Force Microscopy (AFM) has played an important role in the field of nanotechnology for imaging and manipulating samples. However, the acquisition of a high-quality imaging performance by an AFM is significantly influenced by its key scanning element called its Piezoelectric Tube Actuator (PTA). In this article, to improve its performance, a multi-input multi-output … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 28 Jan 2020 · 7,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractNEURAL CASCADED WITH FUZZY SCHEME FOR CONTROL OF A HYDROELECTRIC POWER PLANTA. Selwin Mich Priyadharson, T. Ramesh Kumar, M. S. Saravanan et al.A novel design for flow and level control in a hydroelectric power plant using Programmable Logic Controller (PLC)-Human Machine Interface (HMI) and neural cascaded with fuzzy scheme is proposed. This project will focus on design and development of flow and level controller for small scale hydro generating units by implementing gate control based on PLC-HMI with the proposed scheme. The … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 30 Sep 2014 · 6,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECASTHeri Kuswanto, Irhamah, Laylia AfidahLong memory and nonlinearity have been proven as two models that are easily to be mistaken. In other words, nonlinearity is a strong candidate of spurious long memory by introducing a certain degree of fractional integration that lies in the region of long memory. Indeed, nonlinear process belongs to short memory with zero integration order. The idea of the forecast … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 7 Jul 2014 · 6,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID CRYPTOSYSTEM USING VARIABLE LENGTH SUB KEY GROUPS AND BYTE SUBSTITUTIONAdi Narayana Reddy Kaipa, Vishnu Vardhan Bulusu, Ramakrishna Reddy Koduru, Durga Prasad KavatiHill cipher is developed using simple linear transformation. It is vulnerable to known-plaintext attack and there exist several methods in the direction of linear transformation to overcome the problems. HCM-EE is an improved method using Eigen value but it is linear and too many mathematical operations. In this study an attempt has been made to introduce nonlinearity to the linear … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,871 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytic and Nonlinear Prognostic for Vehicle Suspension SystemsAbdo Abou Jaoude, Khaled El-TawilPredicting Remaining Useful Lifetime (RUL) of industrial systems becomes currently an important aim for industrialists knowing that the expensive failure can occur suddenly. As the classical strategies of maintenance are not efficient and practical because they neglect the evolving product state and environment, the recent prognostic approaches try to fill this gap. This approach shows to be important in ensuring … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 23 Feb 2013 · 7,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractSliding Mode Control with PID Tuning Technique: An Application to a DC Servo Motor Position Tracking ControlTossaporn Chamsai, Piyoros Jirawattana, Thana RadpukdeeProblem statement: In this study, a combination of a classical Sliding Mode Control (SMC) and a PID tuning technique with low-pass filter is developed for a position tracking control of a DC servo motor. Approach: The DC servo motor will be used to adjust the throttle angle of the gasoline engine in our laboratory. To control the engine speed to … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 8,084 accessesView PDFCite