The proceedings contain 20 papers. The special focus in this conference is on Grid, Cloud, and Cluster Computing. The topics include: Scientific Workflow Provenance Management: System Requirements and a Refe...
ISBN:
(纸本)9783031858833
The proceedings contain 20 papers. The special focus in this conference is on Grid, Cloud, and Cluster Computing. The topics include: Scientific Workflow Provenance Management: System Requirements and a Reference Architecture;Enhancing Data Security with Decentralized Cloud Storage: An IPFS Approach;learning Robust Observable to Address Noise in Quantum Machine Learning;evaluating Cost-Effective Reconfigurable Hardware for Quantum simulation;an Efficient Quantum Solver for Multidimensional Partial Differential Equations;explaining the Design of the Quantum Fourier Transform;Optimizing Depth of Quantum Circuit for Generating GHZ States;a Comparative Analysis of Hybrid-Quantum Classical Neural Networks;NRQNN: The Role of Observable Selection in Noise-Resilient Quantum Neural Networks;studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks;Eclipse Qrisp QAOA: Description and Preliminary Comparison with Qiskit Counterparts;federal Cloud Computing Adoption Case Study: A Retrospective Analysis as a Precursor to Optimized Quantum Adoption Methodologies;integrating Secure Quantum Digital Signature into Quantum Communications;methodology to Accelerate Federal Agency Adoption of Quantum Technologies;understanding Public Policy Effects on Alcohol-Related Behaviors and Outcomes Using System Dynamics;Performance Investigation of Small UAV Attitude Control Based on Optimized Nonlinear Dynamic Inversion;Prediction of 1st Year Registration Renewal of General-Use JP Domain Names with the Use of Machine Learning;data Clustering and Visualization with Recursive Max k-Cut Algorithm.
With the rapid development of Internet technology and the continuous growth of the e-commerce industry, online trading systems have become one of the important infrastructures of economic activities. However, in the f...
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The development of yacht form trends toward more displacement and higher speed, so the optimization of such a yacht is an urgent need. In this paper, a semi-planing yacht, characterized by its small length-tobeam rati...
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This paper presents a novel CAD toolbox based on Matlab-Spectre co-simulation for the automated design and optimization of ultra-low power CMOS voltage references. The combination of a technology evaluation and a VR d...
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The proceedings contain 33 papers. The topics discussed include: design and simulation of a bioimpedance sensor for measuring the electrical properties of blood in the hemodialysis process;exploring novel applications...
ISBN:
(纸本)9798350377170
The proceedings contain 33 papers. The topics discussed include: design and simulation of a bioimpedance sensor for measuring the electrical properties of blood in the hemodialysis process;exploring novel applications of electrical bioimpedance spectroscopy in orthopedic fracture healing assessment: modeling study;a comprehensive review on the applications of high-entropy alloys in electronics and energy industries;short-term load forecasting using multilayer neural networks: a residential complex case study;robust funnel based control of a continuous stirred tank reactor;a consumption optimization method for smart homes utilizing backup batteries;and detection of hand movement using time, frequency and time-frequency features of the electromyogram signal in order to create a human-machine interface.
This work introduces X-Ray Calc (XRC), an open-source software package designed to simulate X-ray reflectivity (XRR) and address the inverse problem of reconstructing film structures on the basis of measured XRR curve...
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This work introduces X-Ray Calc (XRC), an open-source software package designed to simulate X-ray reflectivity (XRR) and address the inverse problem of reconstructing film structures on the basis of measured XRR curves. XRC features a user-friendly graphical interface that facilitates interactive simulation and reconstruction. The software employs a recursive approach based on the Fresnel equations to calculate XRR and incorporates specialized tools for modeling periodic multilayer structures. This article presents the latest version of the X-Ray Calc software (XRC3), with notable improvements. These enhancements encompass an automatic fitting capability for XRR curves utilizing a modified flight particle swarm optimization algorithm. A novel cost function was also developed specifically for fitting XRR curves of periodic structures. Furthermore, the overall user experience has been enhanced by developing a new single-window interface.
This research introduces the application of an innovative bio-inspired metaheuristic technique, termed the Crow Search Algorithm (CSA), to model a crucial industrial process - hot rolling manufacturing. Inspired by th...
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To address the challenges in ship equipment control simulation and the complexity of building equipment mechanism models, a data-driven equipment modeling approach is proposed. This method aims to enhance model predic...
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To solve the problem of complex and time-consuming simulation calculations in ship type optimization, the application of approximate model technology based on spatial segmentation sequence sampling is becoming increas...
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To solve the problem of complex and time-consuming simulation calculations in ship type optimization, the application of approximate model technology based on spatial segmentation sequence sampling is becoming increasingly widespread. Based on the Kriging approximation model and the cross-leaving one error method, a new sampling strategy is proposed during the iterative sampling process. The importance of adding sample subspaces and surrounding subspaces is considered in the design space, and parallel thinking is added to develop an efficient parallel sequence sampling method to improve sample aggregation. The proposed method was applied to optimize ship types, and its effectiveness was verified.
This paper deals with the use of optimization methods in the efficient control of technological processes. It uses the principle of optimization based on simulation models of selected technological processes. This res...
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ISBN:
(纸本)9798350350708;9798350350715
This paper deals with the use of optimization methods in the efficient control of technological processes. It uses the principle of optimization based on simulation models of selected technological processes. This research aims to apply optimization algorithms in this optimization system and design and verify the optimization system of technological variables (parameters). The work describes the optimization of parameters for two technological processes. The first is the optimization of tunnel furnace parameters for the firing of refractory materials, and the second is the optimization of parameters during steel production in the LD converter. The gradient method, which is suitable for the optimization of multidimensional problems, was applied. An automated system was developed to optimize the input parameters of the selected technological process, which enables the selection of different variants of the objective function.
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