This paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases;the first until maximum crush and the second part when the vehicle starts pitching forward. T...
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ISBN:
(纸本)9789897585289
This paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases;the first until maximum crush and the second part when the vehicle starts pitching forward. This novel technique will help develop a three degrees of freedom (DOF) lumped parameter model (LPM) for crash and support in the vehicle development process. The paper also highlights the design process for reducing vehicle pitching in occupant protection load cases. The model has been validated against a finite element (FE) simulation of a full frontal crash of a Chevrolet Silverado developed by the National Highway Traffic Safety Administration (NHTSA), and the LPM shows good correlation with the FE test data.
This paper provides an in-depth exploration of Delay Tolerant Networks (DTNs), focusing particularly on the development and functionality of High Delay Tolerant Networks (HDTNs). The distinction between DTNs and HDTNs...
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This study presents a comprehensive analysis of argon-based dielectric barrier discharge (DBD) plasma jets, with a particular focus on their propagation and the influence of simulation parameters on the ionization fro...
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The proceedings contain 11 papers. The topics discussed include: selecting cloud-based learning technologies for developing professional competencies of bachelors majoring in statistics;analyzing the distribution of S...
The proceedings contain 11 papers. The topics discussed include: selecting cloud-based learning technologies for developing professional competencies of bachelors majoring in statistics;analyzing the distribution of STEM-STEAM-STREAM and Montessori pedagogy centers in Ukraine;prospects of quantum informatics and studying its basics in school courses;enhancing mathematical understanding through dynamic GeoGebra modeling: a holistic educational approach;ontology-based representation and design of subject domains for computer science education;data science tools for economics education: text mining and topic modelingapplications;a model of application and learning of cloud technologies for future computer science teachers;teaching statistics to future programmers using real data sets and R programming language;and methodology for teaching development of web-based augmented reality with integrated machine learning models.
In the world of Agent-Based modeling (ABM), NetLogo reigns as the most widely used platform. The NetLogo world of agents interacting in a two-dimensional space seems to provide just the right level of simplicity and a...
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ISBN:
(纸本)9789897585289
In the world of Agent-Based modeling (ABM), NetLogo reigns as the most widely used platform. The NetLogo world of agents interacting in a two-dimensional space seems to provide just the right level of simplicity and abstraction for a wide range of models. Regrettably, the NetLogo language makes model development more painful than necessary. This combination-widespread popularity accompanied by unnecessary coding pain-motivated the development of PyLogo, a NetLogo-like modeling and simulation environment in which developers write their models in Python. Although other NetLogo-like systems exist, as far as we know PyLogo is the only NetLogo-like system in Python at this level of completeness. This paper examines a number of issues with the NetLogo language and offers a simple, illustrative PyLogo example model. PyLogo is open source and is available at this GitHub repository. We welcome collaborators.
In Morocco, where buildings consume more than 35% of the country's energy, the decision to integrate energy efficiency practices into the building from the design phase can avoid any energy waste. In this study, w...
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ISBN:
(纸本)9783031298592;9783031298608
In Morocco, where buildings consume more than 35% of the country's energy, the decision to integrate energy efficiency practices into the building from the design phase can avoid any energy waste. In this study, we examine the impact of integrating insulation on the energy efficiency of an office building using two approaches, with a focus on predicting the energy demand of an office building in Casablanca. The first method uses the Trnsys software for dynamic thermal modeling and the result is 37.45 kWh/m(2).year on total energy demand modeling over one year, which has allowed us to meet the requirements of the Moroccan Thermal Regulation for Buildings (RTCM). The second approach is based on the use of two machine learning models, and the results show that the SVM is more efficient than the RF model. It achieved a coefficient of determination of 97%.
The proceedings contain 25 papers. The special focus in this conference is on Parallel Computational technologies. The topics include: On a Template Programming Approach for Shared Memory Parallel Architectu...
ISBN:
(纸本)9783031388637
The proceedings contain 25 papers. The special focus in this conference is on Parallel Computational technologies. The topics include: On a Template Programming Approach for Shared Memory Parallel Architectures with applications to the Fully Implicit Stokes Solver;parallel Computing in the Tikhonov Regularization Method for Solving the Inverse Problem of Chemical Kinetics;parallel Implementation of the Time-Reversal Mirror Method for Retrieving the Position and Type of a Seismic Source from Observational Data;parallel Implementation of Fast Algorithms in the Vortex Particle Method;Implementation of an Asymptotically Compact Algorithm for GPU simulation of an Acoustic Equation;quantum-Chemical simulation of High-Energy Azoxy Compounds;parallel Algorithms for simulation of the Suspension Transport in Coastal Systems Based on the Explicit-Implicit and Splitting Schemes;parallel Numerical Implementation of Three-Dimensional Mathematical Models of Hydrodynamics Taking into Account Vertical Turbulent Exchange;comparison of Two Methods for modeling the Dynamics of Gas Flows in a Protoplanetary Disk;parallel Data Preprocessing Library for Neural Network Training;computer modeling of Metal Nanoclusters and Substrate Interaction at Mesoscopic Level;supercomputer simulation of Plasma Flow in the Diamagnetic Mode of Open Magnetic Systems;computer simulation of the Three-Dimensional Synthesis of Phase Images of Nanometer Scale Objects;a Parallel Algorithm for a Two-Phase Gas-Solid-Particle Model with Chemical Reactions and Laser Radiation;MPI-Based Computational Algorithm for modeling a Cylindrical Catalyst Grain During Oxidative Regeneration;research of the Influence of the Thermal State of an Air-Intake Model on In-Flight Icing Conditions;An Efficient LRnLA Algorithm and Data Structure for Manycore and Multicore Computers with Hierarchical Cache;Implementation of a Fuzzy Inference Method with Nonsingleton Fuzzification Based on CUDA and GPGPU technologies;solving the Three-Dim
Three-dimensional solid modeling and structural design of the simulation turntable damper were carried out by three-dimensional software, and the intensity checking of the main parts of the damper was carried out by f...
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The problem of sampling a random vector conditionally to a subvariety within a box (actually, a small volume around the subvariety) is addressed. The approach is generic, in the sense that the subvariety may be define...
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ISBN:
(纸本)9789897585289
The problem of sampling a random vector conditionally to a subvariety within a box (actually, a small volume around the subvariety) is addressed. The approach is generic, in the sense that the subvariety may be defined by an isosurface related to any (computable) continuous function. Our approach is based on a dichotomous method. As a result, the sampling process is straightforward, accurate and avoids the use of Markov chain Monte Carlo. Our implementation relies on the evaluation of the matching with the subvariety at each dichotomy step. By using interval analysis techniques for evaluating the matching, our method has been applied up to dimension 11. Perspectives are evoked for improving the sampling efficiency on higher dimensions. An example of application of this simulation technique to black-box function optimization is detailed.
With the evolution of communication systems and their methodologies, the significance of designing various types of antennae has increased to suit the different necessities. While some antennas, especially the substra...
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