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检索条件"任意字段=21st Conference on System Modeling and Optimization"

共 3621 条记录，以下是311-320 订阅

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An Improved Multi-Objective GA for Low Frequency Metamaterial Unit Robust optimization under Uncertainty

An Improved Multi-Objective GA for Low Frequency Metamateria...

引用

IEEE conference on Electromagnetic Field Computation

作者： Yiying Li Xiaowen Xu Shiyou Yang College of Electrical Engineering Zhejiang Univesity Hangzhou China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

Metamaterial (MM) is very promising in engineering application since it exhibits extraordinary physical properties that do not exist in nature. Nevertheless, the development of a MM still faces bottleneck problems such as to maximize negative permeability and ensure the robustness of the high permeability at the working frequency in engineering applications. To address the inefficiencies of existing multi-objective robust optimization methodologies in applications to MM designs, an improved multi-objective genetic algorithm and an adaptive response surface model are proposed. The numerical optimization results of a prototype MM unit have demonstrated the feasibility and merits of the proposed methodology.

关键词： Uncertainty Computational modeling Prototypes Metamaterials Robustness Response surface methodology Permeability

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Evaluating system Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs 21st

Evaluating System Identification Methods for Predicting Ther...

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21st International conference on Embedded Computer systems - Architectures, modeling, and Simulation (SAMOS)

作者： Ohrling, Joel Lafond, Sebastien Truscan, Dragos Abo Akad Univ Turku Finland

ISBN: (纸本)9783031045806;9783031045790

In this paper we evaluate the use of system identification methods to build a thermal prediction model of heterogeneous SoC platforms that can be used to quickly predict the temperature of different configurations without the need of hardware. Specifically, we focus on modeling approaches that can predict the temperature based on the clock frequency and the utilization percentage of each core. We investigate three methods with respect to their prediction accuracy: a linear state-space identification approach using polynomial regressors, a NARX neural network approach and a recurrent neural network approach configured in an FIR model structure. We evaluate the methods on an Odroid-XU4 board featuring an Exynos 5422 SoC. The results show that the model based on polynomial regressors significantly out-performed the other two models when trained with 1 h and 6 h of data.

关键词： Forecasting

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21st International conference on Advances in ICT for Emerging Regions, ICter 2021

21st International Conference on Advances in ICT for Emergin...

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21st International conference on Advances in ICT for Emerging Regions, ICter 2021

ISBN: (纸本)9781665466837

The proceedings contain 38 papers. The topics discussed include: Egyptian Nile tilapia fish freshness assessment based on an efficient image processing method;a comprehensive study of the effects of linear chirp jamming on GNSS receivers under high-dynamic scenarios;an accelerated path planning approach;seasonal multi-temporal pixel based crop types and land cover classification for satellite images using convolutional neural networks;web service-based system for hepatobiliary system diseases prognosis and treatment;survey: automatic recognition of musculoskeletal disorders from radiographs;precise feature selection in predictive genetic models using grey wolf optimization algorithm;daily activity recognition using wearable sensors via machine learning and feature selection;directed particle swarm optimization technique for delivering nano-robots to cancer cells;comparative biomechanical analysis of lumbar disc arthroplasty using finite element modeling;and deep learning algorithms for detecting fake news in online text.

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Continuous Certification of Non-functional Properties Across system Changes 21st

Continuous Certification of Non-functional Properties Across...

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21st International conference on Service-Oriented Computing (ICSOC)

作者： Anisetti, Marco Ardagna, Claudio A. Bena, Nicola Univ Milan Dept Comp Sci Milan Italy

ISBN: (纸本)9783031484209;9783031484216

Existing certification schemes implement continuous verification techniques aiming to prove non-functional (e.g., security) properties of software systems over time. These schemes provide different re-certification techniques for managing the certificate life cycle, though their strong assumptions make them ineffective against modern service-based distributed systems. Re-certification techniques are in fact built on static system models, which do not properly represent the system evolution, and on static detection of system changes, which results in an inaccurate planning of re-certification activities. In this paper, we propose a continuous certification scheme that departs from a static certificate life cycle management and provides a dynamic approach built on the modeling of the system behavior that reduces the amount of unnecessary re-certification. The quality of the proposed scheme is experimentally evaluated using an ad hoc dataset built on publicly-available datasets.

关键词： Assurance Continuous Certification Machine Learning Security

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Multi-Level optimization Based on Approximate Models for Double-Sided Linear Flux Switching Permanent Magnet Motors

Multi-Level Optimization Based on Approximate Models for Dou...

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IEEE conference on Electromagnetic Field Computation

作者： Qiankai Zhao Cheng Wen Lei Huang Yuan Li School of Electrical Engineering Southeast University Nanjing China School of Electrical and Electronic Engineering Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

In this paper, a novel multi-level optimization method for DLFSPM is proposed, to improve the efficiency of multi-objective optimization. To split the high dimension parameters space, a combination of comprehensive sensitivity analysis, correlation analysis, and cross-factor variance analysis is employed to evaluate the effect of the machine's structure parameters towards the optimization objective. Moreover, an approximate model for this machine based on BOHB-RF and a least squares method of approximation is applied to reduce the computational complexity for motor modeling. Then, Nondominated sorting genetic algorithm-II (NSGA-II) is applied to optimize the DLFSPM with a level-by-level multi-objective optimization design, that to obtain the global optimal performance of this motor with high thrust density, low thrust ripple and low mover loss. Finally, the results of FEA prove the effectiveness for the multi-level optimization method.

关键词： Sensitivity analysis Computational modeling optimization methods Switches Permanent magnet motors Electromagnetic fields Computational complexity

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modeling stand-Alone Photovoltaic systems with Matlab/Simulink 21st

Modeling Stand-Alone Photovoltaic Systems with Matlab/Simuli...

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21st EPIA conference on Artificial Intelligence (EPIA)

作者： Baptista, Jose Pimenta, Nuno Morais, Raul Pinto, Tiago Univ Tras Os Montes & Alto Douro Dept Engn P-5000811 Vila Real Portugal INESC TEC UTADs Pole P-5000811 Vila Real Portugal

ISBN: (纸本)9783031164743;9783031164736

In the upcoming years, European countries have to make a strong bet on solar energy. Small photovoltaic systems are able to provide energy for several applications like housing, traffic and street lighting, among others. This field is expected to have a big growth, thus taking advantage of the largest renewable energy source existing on the planet, the sun. This paper proposes a computational model able to simulate the behavior of a stand-alone photovoltaic system. The developed model allows to predict PV systems behavior, constituted by the panels, storage system, charge controller and inverter, having as input data the solar radiation and the temperature of the installation site. Several tests are presented that validates the reliability of the developed model.

关键词： Solar energy Photovoltaic system modeling Matlab/Simulink

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A Novel Approach to modeling of Compressor Characteristics

A Novel Approach to Modeling of Compressor Characteristics

引用

MECHATRONIKA International Symposium

作者： David Grasev Adolf Jílek Department of Aircraft Technology University of Defence Brno Czech Republic

ISBN: (数字)9798350394900

ISBN: (纸本)9798350394917

This paper presents a novel approach to modeling a turbojet engine compressor through the approximation and interpolation of performance characteristics. A hybrid method is proposed, fitting each speed line individually with the most suitable function from a predefined library of candidate functions. To address the ill-conditioning issue, a modified $\beta$ interpolation method is introduced. The $\beta$ curves are carefully defined to ensure that the $\beta$ grid remains entirely within the map, avoiding extrapolation. Each $\beta$ curve is defined by a set of control points given by its intersections with speed lines, and an optimization problem is formulated to evenly distribute these points along the speed line. The resulting control points are parametrized for each $\beta$ curve, allowing for a coordinate transform that facilitates well-behaved nonlinear interpolation.

关键词： Interpolation Extrapolation Adaptation models Shape Computational modeling Atmospheric modeling Libraries Data models Engines optimization

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Multi-Verse Optimizer as a Tool for Efficiency Improvement of Permanent Magnet Motor

Multi-Verse Optimizer as a Tool for Efficiency Improvement o...

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International (EPE-PEMC) Power Electronics and Motion Control conference

作者： Goga Cvetkovski Faculty of Electrical Engineering and Information Technologies Ss. Cyril and Methodius University Skopje North Macedonia

ISBN: (数字)9798350385236

ISBN: (纸本)9798350385243

This paper proposes an application of a novel nature-inspired algorithm called Multi-Verse Optimizer (MVO) in the efficiency improvement of a permanent magnet motor. This algorithm is based on the following three main inspirations in cosmology: white hole, black hole, and wormhole. The mathematical presentation of these three concepts is implemented in order to perform exploration, exploitation, and local search on the search area, respectively. In this work this algorithm is used to perform an optimal design on a permanent magnet motor where the inverse value of the efficiency of the motor is defined as an objective function. Comparative analysis of the initial and the optimized motor model is performed using the data from the optimization as well as from the performed Finite Element Analysis for the investigated models.

关键词： Analytical models Power system measurements Torque Atmospheric modeling Linear programming Permanent magnet motors Data models Power electronics Finite element analysis optimization

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IntuiSketch, a Pen-Based Tutoring system for Anatomy Sketch Learning 21st

IntuiSketch, a Pen-Based Tutoring System for Anatomy Sketc...

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The 21st International Graphonomics Society conference, IGS 2023

作者： Barchouch, Islam Krichen, Omar Anquetil, Eric Girard, Nathalie Univ Rennes INSA Rennes CNRS IRISA Rennes France Univ Rennes CNRS IRISA Rennes France

ISBN: (纸本)9783031454608

This paper presents the first works on IntuiSketch, a pen-based intelligent tutoring system for anatomy courses in higher education. Pen-based tablets offer the possibility to have pen and touch interaction, which mimics the traditional pen and paper setting. The objective here is to combine online recognition techniques, that enable to interpret the sketches drawn by the students, with tutoring techniques, that model the domain knowledge. IntuiSketch is able to analyze the student drawings relatively to a problem defined by the teacher, and generate corrective feedback. The online recognition is based on the bi-dimensional grammar CD-CMG (Context Driven Constraint Multiset Grammar) which models the document structure, coupled with a fuzzy incremental classifier, which is able to learn from few examples. The tutoring system is based on constraint modeling, which enables to define domain and problem knowledge, and to analyse the student production relatively to the constraints that have to be satisfied to solve the problem. In this paper, we present a new architecture for anatomy sketch targeted intelligent tutoring system that combines different techniques. We also present a qualitative study of the feedback that our first system version is able to generate on a case study. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： students

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Approximation of Commensurate and Incommensurate Fractional-Order systems

Approximation of Commensurate and Incommensurate Fractional-...

引用

IEEE India conference (INDICON)

作者： Shekhar Gehlaut Abhishek Kumar Deepak Kumar EED MNNIT Allahabad Prayagraj India

ISBN: (数字)9798350391282

ISBN: (纸本)9798350391299

Fractional-order systems (FOSs) present unique modeling challenges due to their non-integer order dynamics. This paper aims to enhance the computational efficiency of commensurate and incommensurate FOSs while maintaining their properties through reduced-order modelling. The proposed method begins with the rational approximation of incommensurate FOSs using the Oustaloup approximation, transforming them into integer-order models (IOMs). Subsequently, the Salp Swarm optimization Algorithm (SSOA) is employed to reduce the complexity of these higher-order IOMs. The efficacy of the proposed order reduction method is compared with several strategies, including Genetic Algorithm, Balanced Truncation, Routh Approximation, and Big-Bang Big-Crunch Algorithm. The results demonstrate that the presented SSOA-based reduction method effectively retains the fundamental traits and characteristics of the original FOS.

关键词： Computational modeling Heuristic algorithms Frequency-domain analysis Approximation algorithms Reduced order systems Computational efficiency Complexity theory Particle swarm optimization optimization Genetic algorithms

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