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problem</title> <meta name="description" content="Search results for: inverse problem"> <meta name="keywords" content="inverse problem"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="inverse problem"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7549</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: inverse problem</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7549</span> Uncontrollable Inaccuracy in Inverse Problems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu%20Menshikov">Yu Menshikov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper the influence of errors of function derivatives in initial time which have been obtained by experiment (uncontrollable inaccuracy) to the results of inverse problem solution was investigated. It was shown that these errors distort the inverse problem solution as a rule near the beginning of interval where the solution are analyzed. Several methods for remove the influence of uncontrollable inaccuracy have been suggested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20problems" title="inverse problems">inverse problems</a>, <a href="https://publications.waset.org/abstracts/search?q=filtration" title=" filtration"> filtration</a>, <a href="https://publications.waset.org/abstracts/search?q=uncontrollable%20inaccuracy" title="uncontrollable inaccuracy ">uncontrollable inaccuracy </a> </p> <a href="https://publications.waset.org/abstracts/27270/uncontrollable-inaccuracy-in-inverse-problems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27270.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">505</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7548</span> Inverse Scattering for a Second-Order Discrete System via Transmission Eigenvalues</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdon%20Choque-Rivero">Abdon Choque-Rivero</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Jacobi system with the Dirichlet boundary condition is considered on a half-line lattice when the coefficients are real valued. The inverse problem of recovery of the coefficients from various data sets containing the so-called transmission eigenvalues is analyzed. The Marchenko method is utilized to solve the corresponding inverse problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20scattering" title="inverse scattering">inverse scattering</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20system" title=" discrete system"> discrete system</a>, <a href="https://publications.waset.org/abstracts/search?q=transmission%20eigenvalues" title=" transmission eigenvalues"> transmission eigenvalues</a>, <a href="https://publications.waset.org/abstracts/search?q=Marchenko%20method" title=" Marchenko method"> Marchenko method</a> </p> <a href="https://publications.waset.org/abstracts/125118/inverse-scattering-for-a-second-order-discrete-system-via-transmission-eigenvalues" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125118.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7547</span> Operator Splitting Scheme for the Inverse Nagumo Equation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sharon-Yasotha%20Veerayah-Mcgregor">Sharon-Yasotha Veerayah-Mcgregor</a>, <a href="https://publications.waset.org/abstracts/search?q=Valipuram%20Manoranjan"> Valipuram Manoranjan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A backward or inverse problem is known to be an ill-posed problem due to its instability that easily emerges with any slight change within the conditions of the problem. Therefore, only a limited number of numerical approaches are available to solve a backward problem. This paper considers the Nagumo equation, an equation that describes impulse propagation in nerve axons, which also models population growth with the Allee effect. A creative operator splitting numerical scheme is constructed to solve the inverse Nagumo equation. Computational simulations are used to verify that this scheme is stable, accurate, and efficient. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%2Fbackward%20equation" title="inverse/backward equation">inverse/backward equation</a>, <a href="https://publications.waset.org/abstracts/search?q=operator-splitting" title=" operator-splitting"> operator-splitting</a>, <a href="https://publications.waset.org/abstracts/search?q=Nagumo%20equation" title=" Nagumo equation"> Nagumo equation</a>, <a href="https://publications.waset.org/abstracts/search?q=ill-posed" title=" ill-posed"> ill-posed</a>, <a href="https://publications.waset.org/abstracts/search?q=finite-difference" title=" finite-difference"> finite-difference</a> </p> <a href="https://publications.waset.org/abstracts/182287/operator-splitting-scheme-for-the-inverse-nagumo-equation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182287.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">98</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7546</span> An Approach to Solving Some Inverse Problems for Parabolic Equations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bolatbek%20Rysbaiuly">Bolatbek Rysbaiuly</a>, <a href="https://publications.waset.org/abstracts/search?q=Aliya%20S.%20Azhibekova"> Aliya S. Azhibekova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Problems concerning the interpretation of the well testing results belong to the class of inverse problems of subsurface hydromechanics. The distinctive feature of such problems is that additional information is depending on the capabilities of oilfield experiments. Another factor that should not be overlooked is the existence of errors in the test data. To determine reservoir properties, some inverse problems for parabolic equations were investigated. An approach to solving the inverse problems based on the method of regularization is proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=iterative%20approach" title="iterative approach">iterative approach</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title=" inverse problem"> inverse problem</a>, <a href="https://publications.waset.org/abstracts/search?q=parabolic%20equation" title=" parabolic equation"> parabolic equation</a>, <a href="https://publications.waset.org/abstracts/search?q=reservoir%20properties" title=" reservoir properties"> reservoir properties</a> </p> <a href="https://publications.waset.org/abstracts/35084/an-approach-to-solving-some-inverse-problems-for-parabolic-equations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35084.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">428</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7545</span> Loudspeaker Parameters Inverse Problem for Improving Sound Frequency Response Simulation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20T.%20Tsai">Y. T. Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20H.%20Huang"> Jin H. Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The sound pressure level (SPL) of the moving-coil loudspeaker (MCL) is often simulated and analyzed using the lumped parameter model. However, the SPL of a MCL cannot be simulated precisely in the high frequency region, because the value of cone effective area is changed due to the geometry variation in different mode shapes, it is also related to affect the acoustic radiation mass and resistance. Herein, the paper presents the inverse method which has a high ability to measure the value of cone effective area in various frequency points, also can estimate the MCL electroacoustic parameters simultaneously. The proposed inverse method comprises the direct problem, adjoint problem, and sensitivity problem in collaboration with nonlinear conjugate gradient method. Estimated values from the inverse method are validated experimentally which compared with the measured SPL curve result. Results presented in this paper not only improve the accuracy of lumped parameter model but also provide the valuable information on loudspeaker cone design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title="inverse problem">inverse problem</a>, <a href="https://publications.waset.org/abstracts/search?q=cone%20effective%20area" title=" cone effective area"> cone effective area</a>, <a href="https://publications.waset.org/abstracts/search?q=loudspeaker" title=" loudspeaker"> loudspeaker</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20conjugate%20gradient%20method" title=" nonlinear conjugate gradient method"> nonlinear conjugate gradient method</a> </p> <a href="https://publications.waset.org/abstracts/7816/loudspeaker-parameters-inverse-problem-for-improving-sound-frequency-response-simulation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">303</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7544</span> Bayesian Network and Feature Selection for Rank Deficient Inverse Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyugneun%20Lee">Kyugneun Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Ikjin%20Lee"> Ikjin Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Parameter estimation with inverse problem often suffers from unfavorable conditions in the real world. Useless data and many input parameters make the problem complicated or insoluble. Data refinement and reformulation of the problem can solve that kind of difficulties. In this research, a method to solve the rank deficient inverse problem is suggested. A multi-physics system which has rank deficiency caused by response correlation is treated. Impeditive information is removed and the problem is reformulated to sequential estimations using Bayesian network (BN) and subset groups. At first, subset grouping of the responses is performed. Feature selection with singular value decomposition (SVD) is used for the grouping. Next, BN inference is used for sequential conditional estimation according to the group hierarchy. Directed acyclic graph (DAG) structure is organized to maximize the estimation ability. Variance ratio of response to noise is used to pairing the estimable parameters by each response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20network" title="Bayesian network">Bayesian network</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20deficiency" title=" rank deficiency"> rank deficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20inverse%20analysis" title=" statistical inverse analysis"> statistical inverse analysis</a> </p> <a href="https://publications.waset.org/abstracts/75870/bayesian-network-and-feature-selection-for-rank-deficient-inverse-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75870.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">314</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7543</span> A Non-Iterative Shape Reconstruction of an Interface from Boundary Measurement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mourad%20Hrizi">Mourad Hrizi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we study the inverse problem of reconstructing an interior interface D appearing in the elliptic partial differential equation: Δu+χ(D)u=0 from the knowledge of the boundary measurements. This problem arises from a semiconductor transistor model. We propose a new shape reconstruction procedure that is based on the Kohn-Vogelius formulation and the topological sensitivity method. The inverse problem is formulated as a topology optimization one. A topological sensitivity analysis is derived from a function. The unknown subdomain D is reconstructed using a level-set curve of the topological gradient. Finally, we give several examples to show the viability of our proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title="inverse problem">inverse problem</a>, <a href="https://publications.waset.org/abstracts/search?q=topological%20optimization" title=" topological optimization"> topological optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=topological%20gradient" title=" topological gradient"> topological gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=Kohn-Vogelius%20formulation" title=" Kohn-Vogelius formulation"> Kohn-Vogelius formulation</a> </p> <a href="https://publications.waset.org/abstracts/69000/a-non-iterative-shape-reconstruction-of-an-interface-from-boundary-measurement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69000.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">244</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7542</span> Inverse Matrix in the Theory of Dynamical Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Renata%20Masarova">Renata Masarova</a>, <a href="https://publications.waset.org/abstracts/search?q=Bohuslava%20Juhasova"> Bohuslava Juhasova</a>, <a href="https://publications.waset.org/abstracts/search?q=Martin%20Juhas"> Martin Juhas</a>, <a href="https://publications.waset.org/abstracts/search?q=Zuzana%20Sutova"> Zuzana Sutova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In dynamic system theory a mathematical model is often used to describe their properties. In order to find a transfer matrix of a dynamic system we need to calculate an inverse matrix. The paper contains the fusion of the classical theory and the procedures used in the theory of automated control for calculating the inverse matrix. The final part of the paper models the given problem by the Matlab. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20system" title="dynamic system">dynamic system</a>, <a href="https://publications.waset.org/abstracts/search?q=transfer%20matrix" title=" transfer matrix"> transfer matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20matrix" title=" inverse matrix"> inverse matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling "> modeling </a> </p> <a href="https://publications.waset.org/abstracts/22680/inverse-matrix-in-the-theory-of-dynamical-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22680.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">516</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7541</span> Inverse Mode Shape Problem of Hand-Arm Vibration (Humerus Bone) for Bio-Dynamic Response Using Varying Boundary Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ajay%20R">Ajay R</a>, <a href="https://publications.waset.org/abstracts/search?q=Rammohan%20B"> Rammohan B</a>, <a href="https://publications.waset.org/abstracts/search?q=Sridhar%20K%20S%20S"> Sridhar K S S</a>, <a href="https://publications.waset.org/abstracts/search?q=Gurusharan%20%20N"> Gurusharan N</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of the work is to develop a numerical method to solve the inverse mode shape problem by determining the cross-sectional area of a structure for the desired mode shape via the vibration response study of the humerus bone, which is in the form of a cantilever beam with anisotropic material properties. The humerus bone is the long bone in the arm that connects the shoulder to the elbow. The mode shape is assumed to be a higher-order polynomial satisfying a prescribed set of boundary conditions to converge the numerical algorithm. The natural frequency and the mode shapes are calculated for different boundary conditions to find the cross-sectional area of humerus bone from Eigenmode shape with the aid of the inverse mode shape algorithm. The cross-sectional area of humerus bone validates the mode shapes of specific boundary conditions. The numerical method to solve the inverse mode shape problem is validated in the biomedical application by finding the cross-sectional area of a humerus bone in the human arm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cross-sectional%20area" title="Cross-sectional area">Cross-sectional area</a>, <a href="https://publications.waset.org/abstracts/search?q=Humerus%20bone" title=" Humerus bone"> Humerus bone</a>, <a href="https://publications.waset.org/abstracts/search?q=Inverse%20mode%20shape%20problem" title=" Inverse mode shape problem"> Inverse mode shape problem</a>, <a href="https://publications.waset.org/abstracts/search?q=Mode%20shape" title=" Mode shape"> Mode shape</a> </p> <a href="https://publications.waset.org/abstracts/125654/inverse-mode-shape-problem-of-hand-arm-vibration-humerus-bone-for-bio-dynamic-response-using-varying-boundary-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125654.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">128</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7540</span> Topological Sensitivity Analysis for Reconstruction of the Inverse Source Problem from Boundary Measurement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maatoug%20Hassine">Maatoug Hassine</a>, <a href="https://publications.waset.org/abstracts/search?q=Mourad%20Hrizi"> Mourad Hrizi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we consider a geometric inverse source problem for the heat equation with Dirichlet and Neumann boundary data. We will reconstruct the exact form of the unknown source term from additional boundary conditions. Our motivation is to detect the location, the size and the shape of source support. We present a one-shot algorithm based on the Kohn-Vogelius formulation and the topological gradient method. The geometric inverse source problem is formulated as a topology optimization one. A topological sensitivity analysis is derived from a source function. Then, we present a non-iterative numerical method for the geometric reconstruction of the source term with unknown support using a level curve of the topological gradient. Finally, we give several examples to show the viability of our presented method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geometric%20inverse%20source%20problem" title="geometric inverse source problem">geometric inverse source problem</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20equation" title=" heat equation"> heat equation</a>, <a href="https://publications.waset.org/abstracts/search?q=topological%20optimization" title=" topological optimization"> topological optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=topological%20sensitivity" title=" topological sensitivity"> topological sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=Kohn-Vogelius%20formulation" title=" Kohn-Vogelius formulation"> Kohn-Vogelius formulation</a> </p> <a href="https://publications.waset.org/abstracts/58295/topological-sensitivity-analysis-for-reconstruction-of-the-inverse-source-problem-from-boundary-measurement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58295.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">300</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7539</span> Inverse Heat Transfer Analysis of a Melting Furnace Using Levenberg-Marquardt Method </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Hafid">Mohamed Hafid</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcel%20Lacroix"> Marcel Lacroix</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents a simple inverse heat transfer procedure for predicting the wall erosion and the time-varying thickness of the protective bank that covers the inside surface of the refractory brick wall of a melting furnace. The direct problem is solved by using the Finite-Volume model. The melting/solidification process is modeled using the enthalpy method. The inverse procedure rests on the Levenberg-Marquardt method combined with the Broyden method. The effect of the location of the temperature sensors and of the measurement noise on the inverse predictions is investigated. Recommendations are made concerning the location of the temperature sensor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=melting%20furnace" title="melting furnace">melting furnace</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20heat%20transfer" title=" inverse heat transfer"> inverse heat transfer</a>, <a href="https://publications.waset.org/abstracts/search?q=enthalpy%20method" title=" enthalpy method"> enthalpy method</a>, <a href="https://publications.waset.org/abstracts/search?q=levenberg%E2%80%93marquardt%20method" title=" levenberg–marquardt method"> levenberg–marquardt method</a> </p> <a href="https://publications.waset.org/abstracts/49891/inverse-heat-transfer-analysis-of-a-melting-furnace-using-levenberg-marquardt-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49891.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">324</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7538</span> Study on Inverse Solution from Remote Displacements to Reservoir Process during Flow Injection </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sumei%20Cai">Sumei Cai</a>, <a href="https://publications.waset.org/abstracts/search?q=Hong%20Li"> Hong Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Either during water or gas injection into reservoir, in order to understand the areal flow pressure distribution underground, associated bounding deformation is prevalently monitored by ground or downhole tiltmeters. In this paper, an inverse solution to elastic response of far field displacements induced by reservoir pressure change due to flow injection was studied. Furthermore, the fundamental theory on inverse solution to elastic problem as well as its spatial smoothing approach is presented. Taking advantage of source code development based on Boundary Element Method, numerical analysis on the monitoring data of ground surface displacements to further understand the behavior of reservoir process was developed. Numerical examples were also conducted to verify the effectiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20displacement" title="remote displacement">remote displacement</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title=" inverse problem"> inverse problem</a>, <a href="https://publications.waset.org/abstracts/search?q=boundary%20element%20method" title=" boundary element method"> boundary element method</a>, <a href="https://publications.waset.org/abstracts/search?q=BEM" title=" BEM"> BEM</a>, <a href="https://publications.waset.org/abstracts/search?q=reservoir%20process" title=" reservoir process"> reservoir process</a> </p> <a href="https://publications.waset.org/abstracts/99769/study-on-inverse-solution-from-remote-displacements-to-reservoir-process-during-flow-injection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99769.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7537</span> On Direct Matrix Factored Inversion via Broyden's Updates</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adel%20Mohsen">Adel Mohsen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A direct method based on the good Broyden's updates for evaluating the inverse of a nonsingular square matrix of full rank and solving related system of linear algebraic equations is studied. For a matrix A of order n whose LU-decomposition is A = LU, the multiplication count is O (n3). This includes the evaluation of the LU-decompositions of the inverse, the lower triangular decomposition of A as well as a “reduced matrix inverse”. If an explicit value of the inverse is not needed the order reduces to O (n3/2) to compute to compute inv(U) and the reduced inverse. For a symmetric matrix only O (n3/3) operations are required to compute inv(L) and the reduced inverse. An example is presented to demonstrate the capability of using the reduced matrix inverse in treating ill-conditioned systems. Besides the simplicity of Broyden's update, the method provides a mean to exploit the possible sparsity in the matrix and to derive a suitable preconditioner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Broyden%27s%20updates" title="Broyden's updates">Broyden's updates</a>, <a href="https://publications.waset.org/abstracts/search?q=matrix%20inverse" title=" matrix inverse"> matrix inverse</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20factorization" title=" inverse factorization"> inverse factorization</a>, <a href="https://publications.waset.org/abstracts/search?q=solution%20of%20linear%20algebraic%20equations" title=" solution of linear algebraic equations"> solution of linear algebraic equations</a>, <a href="https://publications.waset.org/abstracts/search?q=ill-conditioned%20matrices" title=" ill-conditioned matrices"> ill-conditioned matrices</a>, <a href="https://publications.waset.org/abstracts/search?q=preconditioning" title=" preconditioning"> preconditioning</a> </p> <a href="https://publications.waset.org/abstracts/22126/on-direct-matrix-factored-inversion-via-broydens-updates" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22126.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">479</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7536</span> Congruences Induced by Certain Relations on Ag**-Groupoids</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faisal%20Yousafzai">Faisal Yousafzai</a>, <a href="https://publications.waset.org/abstracts/search?q=Murad-ul-Islam%20Khan"> Murad-ul-Islam Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kar%20Ping%20Shum"> Kar Ping Shum</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We introduce the concept of partially inverse AG**-groupoids which is almost parallel to the concepts of E-inversive semigroups and E-inversive E-semigroups. Some characterization problems are provided on partially inverse AG**-groupoids. We give necessary and sufficient conditions for a partially inverse AG**-subgroupoid E to be a rectangular band. Furthermore, we determine the unitary congruence η on a partially inverse AG**-groupoid and show that each partially inverse AG**-groupoid possesses an idempotent separating congruence μ. We also study anti-separative commutative image of a locally associative AG**-groupoid. Finally, we give the concept of completely N-inverse AG**-groupoid and characterize a maximum idempotent separating congruence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AG%2A%2A-groupoids" title="AG**-groupoids">AG**-groupoids</a>, <a href="https://publications.waset.org/abstracts/search?q=congruences" title=" congruences"> congruences</a>, <a href="https://publications.waset.org/abstracts/search?q=inverses" title=" inverses"> inverses</a>, <a href="https://publications.waset.org/abstracts/search?q=rectangular%20band" title=" rectangular band"> rectangular band</a> </p> <a href="https://publications.waset.org/abstracts/62079/congruences-induced-by-certain-relations-on-ag-groupoids" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62079.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7535</span> Analysis of the Inverse Kinematics for 5 DOF Robot Arm Using D-H Parameters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Apurva%20Patil">Apurva Patil</a>, <a href="https://publications.waset.org/abstracts/search?q=Maithilee%20Kulkarni"> Maithilee Kulkarni</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashay%20Aswale"> Ashay Aswale</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes an algorithm to develop the kinematic model of a 5 DOF robot arm. The formulation of the problem is based on finding the D-H parameters of the arm. Brute Force iterative method is employed to solve the system of non linear equations. The focus of the paper is to obtain the accurate solutions by reducing the root mean square error. The result obtained will be implemented to grip the objects. The trajectories followed by the end effector for the required workspace coordinates are plotted. The methodology used here can be used in solving the problem for any other kinematic chain of up to six DOF. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=5%20DOF%20robot%20arm" title="5 DOF robot arm">5 DOF robot arm</a>, <a href="https://publications.waset.org/abstracts/search?q=D-H%20parameters" title=" D-H parameters"> D-H parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20kinematics" title=" inverse kinematics"> inverse kinematics</a>, <a href="https://publications.waset.org/abstracts/search?q=iterative%20method" title=" iterative method"> iterative method</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectories" title=" trajectories"> trajectories</a> </p> <a href="https://publications.waset.org/abstracts/70099/analysis-of-the-inverse-kinematics-for-5-dof-robot-arm-using-d-h-parameters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70099.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">202</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7534</span> An Inverse Heat Transfer Algorithm for Predicting the Thermal Properties of Tumors during Cryosurgery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Hafid">Mohamed Hafid</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcel%20Lacroix"> Marcel Lacroix</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aimed at developing an inverse heat transfer approach for predicting the time-varying freezing front and the temperature distribution of tumors during cryosurgery. Using a temperature probe pressed against the layer of tumor, the inverse approach is able to predict simultaneously the metabolic heat generation and the blood perfusion rate of the tumor. Once these parameters are predicted, the temperature-field and time-varying freezing fronts are determined with the direct model. The direct model rests on one-dimensional <em>Pennes</em> bioheat equation. The phase change problem is handled with the enthalpy method. The <em>Levenberg-Marquardt</em> Method (LMM) combined to the <em>Broyden</em> Method (BM) is used to solve the inverse model. The effect (a) of the thermal properties of the diseased tissues; (b) of the initial guesses for the unknown thermal properties; (c) of the data capture frequency; and (d) of the noise on the recorded temperatures is examined. It is shown that the proposed inverse approach remains accurate for all the cases investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cryosurgery" title="cryosurgery">cryosurgery</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20heat%20transfer" title=" inverse heat transfer"> inverse heat transfer</a>, <a href="https://publications.waset.org/abstracts/search?q=Levenberg-Marquardt%20method" title=" Levenberg-Marquardt method"> Levenberg-Marquardt method</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20properties" title=" thermal properties"> thermal properties</a>, <a href="https://publications.waset.org/abstracts/search?q=Pennes%20model" title=" Pennes model"> Pennes model</a>, <a href="https://publications.waset.org/abstracts/search?q=enthalpy%20method" title=" enthalpy method"> enthalpy method</a> </p> <a href="https://publications.waset.org/abstracts/71945/an-inverse-heat-transfer-algorithm-for-predicting-the-thermal-properties-of-tumors-during-cryosurgery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71945.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7533</span> Decentralized Control of Interconnected Systems with Non-Linear Unknown Interconnections</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haci%20Mehmet%20Guzey">Haci Mehmet Guzey</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Acar"> Levent Acar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a novel decentralized controller is developed for linear systems with nonlinear unknown interconnections. A model linear decoupled system is assigned for each system. By using the difference actual and model state dynamics, the problem is formulated as inverse problem. Then, the interconnected dynamics are approximated by using Galerkin’s expansion method for inverse problems. Two different sets of orthogonal basis functions are utilized to approximate the interconnected dynamics. Approximated interconnections are utilized in the controller to cancel the interconnections and decouple the systems. Subsequently, the interconnected systems behave as a collection of decoupled systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decentralized%20control" title="decentralized control">decentralized control</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20problems" title=" inverse problems"> inverse problems</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20scale%20systems" title=" large scale systems"> large scale systems</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20interconnections" title=" nonlinear interconnections"> nonlinear interconnections</a>, <a href="https://publications.waset.org/abstracts/search?q=basis%20functions" title=" basis functions"> basis functions</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20identification" title=" system identification"> system identification</a> </p> <a href="https://publications.waset.org/abstracts/20511/decentralized-control-of-interconnected-systems-with-non-linear-unknown-interconnections" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20511.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">532</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7532</span> A Multigrid Approach for Three-Dimensional Inverse Heat Conduction Problems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jianhua%20Zhou">Jianhua Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuwen%20Zhang"> Yuwen Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A two-step multigrid approach is proposed to solve the inverse heat conduction problem in a 3-D object under laser irradiation. In the first step, the location of the laser center is estimated using a coarse and uniform grid system. In the second step, the front-surface temperature is recovered in good accuracy using a multiple grid system in which fine mesh is used at laser spot center to capture the drastic temperature rise in this region but coarse mesh is employed in the peripheral region to reduce the total number of sensors required. The effectiveness of the two-step approach and the multiple grid system are demonstrated by the illustrative inverse solutions. If the measurement data for the temperature and heat flux on the back surface do not contain random error, the proposed multigrid approach can yield more accurate inverse solutions. When the back-surface measurement data contain random noise, accurate inverse solutions cannot be obtained if both temperature and heat flux are measured on the back surface. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conduction" title="conduction">conduction</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20problems" title=" inverse problems"> inverse problems</a>, <a href="https://publications.waset.org/abstracts/search?q=conjugated%20gradient%20method" title=" conjugated gradient method"> conjugated gradient method</a>, <a href="https://publications.waset.org/abstracts/search?q=laser" title=" laser"> laser</a> </p> <a href="https://publications.waset.org/abstracts/91353/a-multigrid-approach-for-three-dimensional-inverse-heat-conduction-problems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91353.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">369</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7531</span> Base Change for Fisher Metrics: Case of the q-Gaussian Inverse Distribution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gabriel%20I.%20Loaiza%20Ossa">Gabriel I. Loaiza Ossa</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos%20A.%20Cadavid%20Moreno"> Carlos A. Cadavid Moreno</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20C.%20%20Arango%20Parra"> Juan C. Arango Parra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is known that the Riemannian manifold determined by the family of inverse Gaussian distributions endowed with the Fisher metric has negative constant curvature κ= -1/2, as does the family of usual Gaussian distributions. In the present paper, firstly, we arrive at this result by following a different path, much simpler than the previous ones. We first put the family in exponential form, thus endowing the family with a new set of parameters, or coordinates, θ₁, θ₂; then we determine the matrix of the Fisher metric in terms of these parameters; and finally we compute this matrix in the original parameters. Secondly, we define the inverse q-Gaussian distribution family (q < 3) as the family obtained by replacing the usual exponential function with the Tsallis q-exponential function in the expression for the inverse Gaussian distribution and observe that it supports two possible geometries, the Fisher and the q-Fisher geometry. And finally, we apply our strategy to obtain results about the Fisher and q-Fisher geometry of the inverse q-Gaussian distribution family, similar to the ones obtained in the case of the inverse Gaussian distribution family. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=base%20of%20changes" title="base of changes">base of changes</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20geometry" title=" information geometry"> information geometry</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20Gaussian%20distribution" title=" inverse Gaussian distribution"> inverse Gaussian distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20q-Gaussian%20distribution" title=" inverse q-Gaussian distribution"> inverse q-Gaussian distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20manifolds" title=" statistical manifolds"> statistical manifolds</a> </p> <a href="https://publications.waset.org/abstracts/138122/base-change-for-fisher-metrics-case-of-the-q-gaussian-inverse-distribution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138122.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">244</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7530</span> Causes for the Precession of the Perihelion in the Planetary Orbits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kwan%20U.%20Kim">Kwan U. Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Sim"> Jin Sim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ryong%20Jin%20Jang"> Ryong Jin Jang</a>, <a href="https://publications.waset.org/abstracts/search?q=Sung%20Duk%20Kim"> Sung Duk Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is Leverrier that discovered the precession of the perihelion in the planetary orbits for the first time in the world, while it is Einstein that explained the astronomical phenomenom for the first time in the world. The amount of the precession of the perihelion for Einstein’s theory of gravitation has been explained by means of the inverse fourth power force(inverse third power potential) introduced totheory of gravitation through Schwarzschild metric However, the methodology has a serious shortcoming that it is impossible to explain the cause for the precession of the perihelion in the planetary orbits. According to our study, without taking the cause for the precession of the perihelion, 6 methods can explain the amount of the precession of the perihelion discovered by Leverrier. Therefore, the problem of what caused the perihelion to precess in the planetary orbits must be solved for physics because it is a profound scientific and technological problem for a basic experiment in construction of relativistic theory of gravitation. The scientific solution to the problem proved that Einstein’s explanation for the planetary orbits is a magic made by the numerical expressions obtained from fictitious gravitation introduced to theory of gravitation and wrong definition of proper time The problem of the precession of the perihelion seems solved already by means of general theory of relativity, but, in essence, the cause for the astronomical phenomenon has not been successfully explained for astronomy yet. The right solution to the problem comes from generalized theory of gravitation. Therefore, in this paper, it has been shown that by means of Schwarzschild field and the physical quantities of relativistic Lagrangian redflected in it, fictitious gravitation is not the main factor which can cause the perihelion to precess in the planetary orbits. In addition to it, it has been shown that the main factor which can cause the perihelion to precess in the planetary orbits is the inverse third power force existing really in the relativistic region in the Solar system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20third%20power%20force" title="inverse third power force">inverse third power force</a>, <a href="https://publications.waset.org/abstracts/search?q=precession%20of%20the%20perihelion" title=" precession of the perihelion"> precession of the perihelion</a>, <a href="https://publications.waset.org/abstracts/search?q=fictitious%20gravitation" title=" fictitious gravitation"> fictitious gravitation</a>, <a href="https://publications.waset.org/abstracts/search?q=planetary%20orbits" title=" planetary orbits"> planetary orbits</a> </p> <a href="https://publications.waset.org/abstracts/192598/causes-for-the-precession-of-the-perihelion-in-the-planetary-orbits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">12</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7529</span> Ill-Posed Inverse Problems in Molecular Imaging</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ranadhir%20Roy">Ranadhir Roy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Inverse problems arise in medical (molecular) imaging. These problems are characterized by large in three dimensions, and by the diffusion equation which models the physical phenomena within the media. The inverse problems are posed as a nonlinear optimization where the unknown parameters are found by minimizing the difference between the predicted data and the measured data. To obtain a unique and stable solution to an ill-posed inverse problem, a priori information must be used. Mathematical conditions to obtain stable solutions are established in Tikhonov’s regularization method, where the a priori information is introduced via a stabilizing functional, which may be designed to incorporate some relevant information of an inverse problem. Effective determination of the Tikhonov regularization parameter requires knowledge of the true solution, or in the case of optical imaging, the true image. Yet, in, clinically-based imaging, true image is not known. To alleviate these difficulties we have applied the penalty/modified barrier function (PMBF) method instead of Tikhonov regularization technique to make the inverse problems well-posed. Unlike the Tikhonov regularization method, the constrained optimization technique, which is based on simple bounds of the optical parameter properties of the tissue, can easily be implemented in the PMBF method. Imposing the constraints on the optical properties of the tissue explicitly restricts solution sets and can restore uniqueness. Like the Tikhonov regularization method, the PMBF method limits the size of the condition number of the Hessian matrix of the given objective function. The accuracy and the rapid convergence of the PMBF method require a good initial guess of the Lagrange multipliers. To obtain the initial guess of the multipliers, we use a least square unconstrained minimization problem. Three-dimensional images of fluorescence absorption coefficients and lifetimes were reconstructed from contact and noncontact experimentally measured data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constrained%20minimization" title="constrained minimization">constrained minimization</a>, <a href="https://publications.waset.org/abstracts/search?q=ill-conditioned%20inverse%20problems" title=" ill-conditioned inverse problems"> ill-conditioned inverse problems</a>, <a href="https://publications.waset.org/abstracts/search?q=Tikhonov%20regularization%20method" title=" Tikhonov regularization method"> Tikhonov regularization method</a>, <a href="https://publications.waset.org/abstracts/search?q=penalty%20modified%20barrier%20function%20method" title=" penalty modified barrier function method"> penalty modified barrier function method</a> </p> <a href="https://publications.waset.org/abstracts/50067/ill-posed-inverse-problems-in-molecular-imaging" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50067.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">271</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7528</span> Efficient Reconstruction of DNA Distance Matrices Using an Inverse Problem Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Boris%20Melnikov">Boris Melnikov</a>, <a href="https://publications.waset.org/abstracts/search?q=Ye%20Zhang"> Ye Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dmitrii%20Chaikovskii"> Dmitrii Chaikovskii</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We continue to consider one of the cybernetic methods in computational biology related to the study of DNA chains. Namely, we are considering the problem of reconstructing the not fully filled distance matrix of DNA chains. When applied in a programming context, it is revealed that with a modern computer of average capabilities, creating even a small-sized distance matrix for mitochondrial DNA sequences is quite time-consuming with standard algorithms. As the size of the matrix grows larger, the computational effort required increases significantly, potentially spanning several weeks to months of non-stop computer processing. Hence, calculating the distance matrix on conventional computers is hardly feasible, and supercomputers are usually not available. Therefore, we started publishing our variants of the algorithms for calculating the distance between two DNA chains; then, we published algorithms for restoring partially filled matrices, i.e., the inverse problem of matrix processing. In this paper, we propose an algorithm for restoring the distance matrix for DNA chains, and the primary focus is on enhancing the algorithms that shape the greedy function within the branches and boundaries method framework. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DNA%20chains" title="DNA chains">DNA chains</a>, <a href="https://publications.waset.org/abstracts/search?q=distance%20matrix" title=" distance matrix"> distance matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization%20problem" title=" optimization problem"> optimization problem</a>, <a href="https://publications.waset.org/abstracts/search?q=restoring%20algorithm" title=" restoring algorithm"> restoring algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=greedy%20algorithm" title=" greedy algorithm"> greedy algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=heuristics" title=" heuristics"> heuristics</a> </p> <a href="https://publications.waset.org/abstracts/167026/efficient-reconstruction-of-dna-distance-matrices-using-an-inverse-problem-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7527</span> On Confidence Intervals for the Difference between Inverse of Normal Means with Known Coefficients of Variation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arunee%20Wongkhao">Arunee Wongkhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Suparat%20Niwitpong"> Suparat Niwitpong</a>, <a href="https://publications.waset.org/abstracts/search?q=Sa-aat%20Niwitpong"> Sa-aat Niwitpong </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose two new confidence intervals for the difference between the inverse of normal means with known coefficients of variation. One of these two confidence intervals for this problem is constructed based on the generalized confidence interval and the other confidence interval is constructed based on the closed form method of variance estimation. We examine the performance of these confidence intervals in terms of coverage probabilities and expected lengths via Monte Carlo simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coverage%20probability" title="coverage probability">coverage probability</a>, <a href="https://publications.waset.org/abstracts/search?q=expected%20length" title=" expected length"> expected length</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20of%20normal%20mean" title=" inverse of normal mean"> inverse of normal mean</a>, <a href="https://publications.waset.org/abstracts/search?q=coefficient%20of%20variation" title=" coefficient of variation"> coefficient of variation</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20confidence%20interval" title=" generalized confidence interval"> generalized confidence interval</a>, <a href="https://publications.waset.org/abstracts/search?q=closed%20form%20method%20of%20variance%20estimation" title=" closed form method of variance estimation"> closed form method of variance estimation</a> </p> <a href="https://publications.waset.org/abstracts/12130/on-confidence-intervals-for-the-difference-between-inverse-of-normal-means-with-known-coefficients-of-variation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12130.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">309</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7526</span> The Inverse Problem in Energy Beam Processes Using Discrete Adjoint Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aitor%20Bilbao">Aitor Bilbao</a>, <a href="https://publications.waset.org/abstracts/search?q=Dragos%20Axinte"> Dragos Axinte</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Billingham"> John Billingham</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The inverse problem in Energy Beam (EB) Processes consists of defining the control parameters, in particular the 2D beam path (position and orientation of the beam as a function of time), to arrive at a prescribed solution (freeform surface). This inverse problem is well understood for conventional machining, because the cutting tool geometry is well defined and the material removal is a time independent process. In contrast, EB machining is achieved through the local interaction of a beam of particular characteristics (e.g. energy distribution), which leads to a surface-dependent removal rate. Furthermore, EB machining is a time-dependent process in which not only the beam varies with the dwell time, but any acceleration/deceleration of the machine/beam delivery system, when performing raster paths will influence the actual geometry of the surface to be generated. Two different EB processes, Abrasive Water Machining (AWJM) and Pulsed Laser Ablation (PLA), are studied. Even though they are considered as independent different technologies, both can be described as time-dependent processes. AWJM can be considered as a continuous process and the etched material depends on the feed speed of the jet at each instant during the process. On the other hand, PLA processes are usually defined as discrete systems and the total removed material is calculated by the summation of the different pulses shot during the process. The overlapping of these shots depends on the feed speed and the frequency between two consecutive shots. However, if the feed speed is sufficiently slow compared with the frequency, then consecutive shots are close enough and the behaviour can be similar to a continuous process. Using this approximation a generic continuous model can be described for both processes. The inverse problem is usually solved for this kind of process by simply controlling dwell time in proportion to the required depth of milling at each single pixel on the surface using a linear model of the process. However, this approach does not always lead to the good solution since linear models are only valid when shallow surfaces are etched. The solution of the inverse problem is improved by using a discrete adjoint optimization algorithm. Moreover, the calculation of the Jacobian matrix consumes less computation time than finite difference approaches. The influence of the dynamics of the machine on the actual movement of the jet is also important and should be taken into account. When the parameters of the controller are not known or cannot be changed, a simple approximation is used for the choice of the slope of a step profile. Several experimental tests are performed for both technologies to show the usefulness of this approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abrasive%20waterjet%20machining" title="abrasive waterjet machining">abrasive waterjet machining</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20beam%20processes" title=" energy beam processes"> energy beam processes</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20problem" title=" inverse problem"> inverse problem</a>, <a href="https://publications.waset.org/abstracts/search?q=pulsed%20laser%20ablation" title=" pulsed laser ablation"> pulsed laser ablation</a> </p> <a href="https://publications.waset.org/abstracts/49076/the-inverse-problem-in-energy-beam-processes-using-discrete-adjoint-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49076.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7525</span> Enhanced Tensor Tomographic Reconstruction: Integrating Absorption, Refraction and Temporal Effects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lukas%20Vierus">Lukas Vierus</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Schuster"> Thomas Schuster</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A general framework is examined for dynamic tensor field tomography within an inhomogeneous medium characterized by refraction and absorption, treated as an inverse source problem concerning the associated transport equation. Guided by Fermat’s principle, the Riemannian metric within the specified domain is determined by the medium's refractive index. While considerable literature exists on the inverse problem of reconstructing a tensor field from its longitudinal ray transform within a static Euclidean environment, limited inversion formulas and algorithms are available for general Riemannian metrics and time-varying tensor fields. It is established that tensor field tomography, akin to an inverse source problem for a transport equation, persists in dynamic scenarios. Framing dynamic tensor tomography as an inverse source problem embodies a comprehensive perspective within this domain. Ensuring well-defined forward mappings necessitates establishing existence and uniqueness for the underlying transport equations. However, the bilinear forms of the associated weak formulations fail to meet the coercivity condition. Consequently, recourse to viscosity solutions is taken, demonstrating their unique existence within suitable Sobolev spaces (in the static case) and Sobolev-Bochner spaces (in the dynamic case), under a specific assumption restricting variations in the refractive index. Notably, the adjoint problem can also be reformulated as a transport equation, with analogous results regarding uniqueness. Analytical solutions are expressed as integrals over geodesics, facilitating more efficient evaluation of forward and adjoint operators compared to solving partial differential equations. Certainly, here's the revised sentence in English: Numerical experiments are conducted using a Nesterov-accelerated Landweber method, encompassing various fields, absorption coefficients, and refractive indices, thereby illustrating the enhanced reconstruction achieved through this holistic modeling approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attenuated%20refractive%20dynamic%20ray%20transform%20of%20tensor%20fields" title="attenuated refractive dynamic ray transform of tensor fields">attenuated refractive dynamic ray transform of tensor fields</a>, <a href="https://publications.waset.org/abstracts/search?q=geodesics" title=" geodesics"> geodesics</a>, <a href="https://publications.waset.org/abstracts/search?q=transport%20equation" title=" transport equation"> transport equation</a>, <a href="https://publications.waset.org/abstracts/search?q=viscosity%20solutions" title=" viscosity solutions"> viscosity solutions</a> </p> <a href="https://publications.waset.org/abstracts/184677/enhanced-tensor-tomographic-reconstruction-integrating-absorption-refraction-and-temporal-effects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184677.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">51</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7524</span> Application of Adaptive Neural Network Algorithms for Determination of Salt Composition of Waters Using Laser Spectroscopy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tatiana%20A.%20Dolenko">Tatiana A. Dolenko</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20A.%20Burikov"> Sergey A. Burikov</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20O.%20Efitorov"> Alexander O. Efitorov</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20A.%20Dolenko"> Sergey A. Dolenko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, a comparative analysis of the approaches associated with the use of neural network algorithms for effective solution of a complex inverse problem – the problem of identifying and determining the individual concentrations of inorganic salts in multicomponent aqueous solutions by the spectra of Raman scattering of light – is performed. It is shown that application of artificial neural networks provides the average accuracy of determination of concentration of each salt no worse than 0.025 M. The results of comparative analysis of input data compression methods are presented. It is demonstrated that use of uniform aggregation of input features allows decreasing the error of determination of individual concentrations of components by 16-18% on the average. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inverse%20problems" title="inverse problems">inverse problems</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-component%20solutions" title=" multi-component solutions"> multi-component solutions</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=Raman%20spectroscopy" title=" Raman spectroscopy"> Raman spectroscopy</a> </p> <a href="https://publications.waset.org/abstracts/14503/application-of-adaptive-neural-network-algorithms-for-determination-of-salt-composition-of-waters-using-laser-spectroscopy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14503.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">528</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7523</span> Jacobson Semisimple Skew Inverse Laurent Series Rings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Moussavi">Ahmad Moussavi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we are concerned with the Jacobson semisimple skew inverse Laurent series rings R((x−1; α, δ)) and the skew Laurent power series rings R[[x, x−1; α]], where R is an associative ring equipped with an automorphism α and an α-derivation δ. Examples to illustrate and delimit the theory are provided. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=skew%20polynomial%20rings" title="skew polynomial rings">skew polynomial rings</a>, <a href="https://publications.waset.org/abstracts/search?q=Laurent%20series" title=" Laurent series"> Laurent series</a>, <a href="https://publications.waset.org/abstracts/search?q=skew%20inverse%20Laurent%20series%20rings" title=" skew inverse Laurent series rings"> skew inverse Laurent series rings</a> </p> <a href="https://publications.waset.org/abstracts/128005/jacobson-semisimple-skew-inverse-laurent-series-rings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128005.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7522</span> Multiparametric Optimization of Water Treatment Process for Thermal Power Plants</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Balgaisha%20%20Mukanova">Balgaisha Mukanova</a>, <a href="https://publications.waset.org/abstracts/search?q=Natalya%20Glazyrina"> Natalya Glazyrina</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20Glazyrin"> Sergey Glazyrin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The formulated problem of optimization of the technological process of water treatment for thermal power plants is considered in this article. The problem is of multiparametric nature. To optimize the process, namely, reduce the amount of waste water, a new technology was developed to reuse such water. A mathematical model of the technology of wastewater reuse was developed. Optimization parameters were determined. The model consists of a material balance equation, an equation describing the kinetics of ion exchange for the non-equilibrium case and an equation for the ion exchange isotherm. The material balance equation includes a nonlinear term that depends on the kinetics of ion exchange. A direct problem of calculating the impurity concentration at the outlet of the water treatment plant was numerically solved. The direct problem was approximated by an implicit point-to-point computation difference scheme. The inverse problem was formulated as relates to determination of the parameters of the mathematical model of the water treatment plant operating in non-equilibrium conditions. The formulated inverse problem was solved. Following the results of calculation the time of start of the filter regeneration process was determined, as well as the period of regeneration process and the amount of regeneration and wash water. Multi-parameter optimization of water treatment process for thermal power plants allowed decreasing the amount of wastewater by 15%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=direct%20problem" title="direct problem">direct problem</a>, <a href="https://publications.waset.org/abstracts/search?q=multiparametric%20optimization" title=" multiparametric optimization"> multiparametric optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization%20parameters" title=" optimization parameters"> optimization parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20treatment" title=" water treatment"> water treatment</a> </p> <a href="https://publications.waset.org/abstracts/27581/multiparametric-optimization-of-water-treatment-process-for-thermal-power-plants" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27581.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">387</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7521</span> Inverse Dynamics of the Mould Base of Blow Molding Machines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vigen%20Arakelian">Vigen Arakelian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with the study of devices for displacement of the mould base of blow-molding machines. The displacement of the mould in the studied case is carried out by a linear actuator, which ensures the descent of the mould base and by extension springs, which return the letter in the initial position. The aim of this paper is to study the inverse dynamics of the device for displacement of the mould base of blow-molding machines and to determine its optimum parameters for higher rate of production. In the other words, it is necessary to solve the inverse dynamic problem to find the equation of motion linking applied forces with displacements. This makes it possible to determine the stiffness coefficient of the spring to turn the mold base back to the initial position for a given time. The obtained results are illustrated by a numerical example. It is shown that applying a spring with stiffness returns the mould base of the blow molding machine into the initial position in 0.1 sec. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=design" title="design">design</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanisms" title=" mechanisms"> mechanisms</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamics" title=" dynamics"> dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=blow-molding%20machines" title=" blow-molding machines"> blow-molding machines</a> </p> <a href="https://publications.waset.org/abstracts/99143/inverse-dynamics-of-the-mould-base-of-blow-molding-machines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99143.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7520</span> Intrusion Detection System Using Linear Discriminant Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zyad%20Elkhadir">Zyad Elkhadir</a>, <a href="https://publications.waset.org/abstracts/search?q=Khalid%20Chougdali"> Khalid Chougdali</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Benattou"> Mohammed Benattou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most of the existing intrusion detection systems works on quantitative network traffic data with many irrelevant and redundant features, which makes detection process more time’s consuming and inaccurate. A several feature extraction methods, such as linear discriminant analysis (LDA), have been proposed. However, LDA suffers from the small sample size (SSS) problem which occurs when the number of the training samples is small compared with the samples dimension. Hence, classical LDA cannot be applied directly for high dimensional data such as network traffic data. In this paper, we propose two solutions to solve SSS problem for LDA and apply them to a network IDS. The first method, reduce the original dimension data using principal component analysis (PCA) and then apply LDA. In the second solution, we propose to use the pseudo inverse to avoid singularity of within-class scatter matrix due to SSS problem. After that, the KNN algorithm is used for classification process. We have chosen two known datasets KDDcup99 and NSLKDD for testing the proposed approaches. Results showed that the classification accuracy of (PCA+LDA) method outperforms clearly the pseudo inverse LDA method when we have large training data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LDA" title="LDA">LDA</a>, <a href="https://publications.waset.org/abstracts/search?q=Pseudoinverse" title=" Pseudoinverse"> Pseudoinverse</a>, <a href="https://publications.waset.org/abstracts/search?q=PCA" title=" PCA"> PCA</a>, <a href="https://publications.waset.org/abstracts/search?q=IDS" title=" IDS"> IDS</a>, <a href="https://publications.waset.org/abstracts/search?q=NSL-KDD" title=" NSL-KDD"> NSL-KDD</a>, <a href="https://publications.waset.org/abstracts/search?q=KDDcup99" title=" KDDcup99"> KDDcup99</a> </p> <a href="https://publications.waset.org/abstracts/37402/intrusion-detection-system-using-linear-discriminant-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37402.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">226</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=inverse%20problem&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=inverse%20problem&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=inverse%20problem&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=inverse%20problem&page=5">5</a></li> <li class="page-item"><a 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