Search results for "Mathematic"

showing 10 items of 24974 documents

E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method

2015

Interactive multiobjective optimization methods cannot necessarily be easily used when (industrial) multiobjective optimization problems are involved. There are at least two important factors to be considered with any interactive method: computationally expensive functions and aspects of human behavior. In this paper, we propose a method based on the existing NAUTILUS method and call it the Enhanced NAUTILUS (E-NAUTILUS) method. This method borrows the motivation of NAUTILUS along with the human aspects related to avoiding trading-off and anchoring bias and extends its applicability for computationally expensive multiobjective optimization problems. In the E-NAUTILUS method, a set of Pareto…

ta113Decision support systemMathematical optimizationInformation Systems and ManagementOptimization problemMultiple criteria optimizationGeneral Computer ScienceComputer sciencePareto principleTrading-offManagement Science and Operations ResearchSpace (commercial competition)Multiple objective programmingMulti-objective optimizationIndustrial and Manufacturing EngineeringSet (abstract data type)Modeling and SimulationPoint (geometry)Computational costInteractive methodsEuropean Journal of Operational Research
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A novel heuristic memetic clustering algorithm

2013

In this paper we introduce a novel clustering algorithm based on the Memetic Algorithm meta-heuristic wherein clusters are iteratively evolved using a novel single operator employing a combination of heuristics. Several heuristics are described and employed for the three types of selections used in the operator. The algorithm was exhaustively tested on three benchmark problems and compared to a classical clustering algorithm (k-Medoids) using the same performance metrics. The results show that our clustering algorithm consistently provides better clustering solutions with less computational effort.

ta113Determining the number of clusters in a data setBiclusteringClustering high-dimensional dataDBSCANComputingMethodologies_PATTERNRECOGNITIONTheoretical computer scienceCURE data clustering algorithmCorrelation clusteringCanopy clustering algorithmCluster analysisAlgorithmMathematics2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
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Shape Sensitivity Analysis and Gradient-Based Optimization of Large Structures Using MLFMA

2014

A fast method for computing the action of shape-differentiated electric field integral equation (EFIE) system matrix to a vector is derived exploiting the multilevel fast multipole algorithm (MLFMA). The proposed method is used in conjunction with the adjoint-variable method (AVM) to compute the shape gradient of arbitrary objective functions depending on shape of a metallic scatterer. The method is demonstrated numerically by optimizing the shape of a parabolic reflector illuminated with a half-wave dipole.

ta113DipoleParabolic reflectorGradient based algorithmMathematical analysisShape gradientSensitivity (control systems)Electrical and Electronic EngineeringElectric-field integral equationMultipole expansionAction (physics)MathematicsIEEE Transactions on Antennas and Propagation
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On shape differentiation of discretized electric field integral equation

2013

Abstract This work presents shape derivatives of the system matrix representing electric field integral equation discretized with Raviart–Thomas basis functions. The arising integrals are easy to compute with similar methods as the entries of the original system matrix. The results are compared to derivatives computed with automatic differentiation technique and finite differences, and are found to be in an excellent agreement. Furthermore, the derived formulas are employed to analyze shape sensitivity of the input impedance of a planar inverted F-antenna, and the results are compared to those obtained using a finite difference approximation.

ta113Discretizationta213Automatic differentiationApplied MathematicsMathematical analysista111General EngineeringFinite differenceBasis functionMethod of moments (statistics)Electric-field integral equationComputational MathematicsShape optimizationSensitivity (control systems)AnalysisMathematicsEngineering Analysis with Boundary Elements
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In-Flow Peer Review

2014

Peer-review is a valuable tool that helps both the reviewee, who receives feedback about his work, and the reviewer, who sees different potential solutions and improves her ability to critique work. In-flow peer-review (IFPR) is peer-review done while an assignment is in progress. Peer-review done during this time is likely to result in greater motivation for both reviewer and reviewee. This workinggroup report summarizes IFPR and discusses numerous dimensions of the process, each of which alleviates some problems while raising associated concerns.

ta113EngineeringKnowledge managementProcess managementWork (electrical)Flow (mathematics)business.industryProcess (engineering)peer reviewbusinessRaising (linguistics)
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Towards a scenario of virtual mental health environments for school-aged children

2017

This study explores student teachers’ future design scenarios focusing on promoting children’s mental health literacy through virtual reality (VR) environments. VR use is on the verge of many breakthroughs in several areas of lived experience. One such area pertains to educational contexts. Student teachers were chosen as the subjects of this study due to the likelihood that they will be the primary users and disseminators of these emerging technologies in educational contexts. The students created five types of future scenarios that contained different environments and activity modes, including those that are still not yet feasible to realize with current technological capabilities. The ai…

ta113Engineeringbusiness.industryEmerging technologiesschool-aged childrenStudent teacherVirtual realityMental healthscenarioCurriculum frameworkmielenterveysPedagogyMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONdigital literacySet (psychology)businessMental health literacystudent teachermental healthvirtual reality (VR)Digital literacy
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Understanding beginners' mistakes with Haskell

2015

AbstractThis article presents an overview of student difficulties in an introductory functional programming (FP) course taught in Haskell. The motivation for this study stems from our belief that many student difficulties can be alleviated by understanding the underlying causes of errors and by modifying the educational approach and, possibly, the teaching language accordingly. We analyze students' exercise submissions and categorize student errors according to compiler error messages and then manually according to the observed underlying cause. Our study complements earlier studies on the topic by applying computer and manual analysis while focusing on providing descriptive statistics of d…

ta113Functional programmingDescriptive statisticsProgramming languageComputer scienceFunction applicationcomputer.software_genrebeginners' mistakesSyntaxCategorizationHaskellComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationTeaching languagecomputer analysisHaskellCompilercomputerSoftwarecomputer.programming_languageJournal of Functional Programming
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On the motivations to enroll in doctoral studies in Computer Science — A comparison of PhD program models

2013

While student motivation has been intensively researched, only a few studies cover motivation at doctoral level and even less focus on doctoral education in Computer Science. In this paper we investigate the motivation of graduate students to pursue doctoral studies specifically in Computer Science. We interviewed 63 doctoral students, from two different doctoral models (traditional and structured) in Finland and Austria, on their initial reasons and experiences that led them to enroll in doctoral studies. We identified five disjoint main motivational drivers that relate with different aspects of extrinsic and intrinsic motivation. Together with a measure of the strength of their initial mo…

ta113Graduate studentsComputer scienceDoctoral studiesPedagogyMathematics educationIntrinsic motivationta516Doctoral educationComputer aided instruction2013 12th International Conference on Information Technology Based Higher Education and Training (ITHET)
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Revisiting rainfall to explore exam questions and performance on CS1

2015

The Rainfall problem comprises small tasks that have been used to investigate student performance in introductory programming. We conducted several kinds of analyses to inform our understandings of student performance in CS1 relating to this problem. We analyzed implementation approaches and program errors, as in related studies, and also explored the role of test writing vis-a-vis the most common student error. Finally, using correlation analyses and manual inspection of the exam answers, we studied how well the Rainfall problem served as an exam question. The students' implementation choices reflected their familiarity with particular loop constructs, while the single most common error co…

ta113Guard (information security)novice programmersUnit testingCommon errorRainfall problemDivision by zeroCode (semiotics)Test (assessment)PedagogyComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationta516CS1PsychologyKnowledge transferProceedings of the 15th Koli Calling Conference on Computing Education Research
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Interface Detection Using a Quenched-Noise Version of the Edwards-Wilkinson Equation

2015

We report here a multipurpose dynamic-interface-based segmentation tool, suitable for segmenting planar, cylindrical, and spherical surfaces in 3D. The method is fast enough to be used conveniently even for large images. Its implementation is straightforward and can be easily realized in many environments. Its memory consumption is low, and the set of parameters is small and easy to understand. The method is based on the Edwards-Wilkinson equation, which is traditionally used to model the equilibrium fluctuations of a propagating interface under the influence of temporally and spatially varying noise. We report here an adaptation of this equation into multidimensional image segmentation, an…

ta113Image segmentationta114DiscretizationInterface (Java)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONobject detectionimage edge detectionImage segmentationComputer Graphics and Computer-Aided DesignGrayscaleGray-scaleObject detectionSurface topographyNoiseMathematical modelThree-dimensional displaysSegmentationTomography3D image processingNoiseSurface morphologyAlgorithmSoftwareIEEE Transactions on Image Processing
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