This paper addresses the problem of modeling the catalytic recombination of oxygen on silicon dioxide, the principal material making up the Space Shuttle thermal protection tiles. A new mechanism involving the surface...
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In this study, the effect of indoor temperature for heating on reduction of heating load in Karabuk province was studied for various cases. The potential heating degree-hour values for Karabuk are utilized by using av...
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This paper proposes an algorithm for trajectory planning based on the motion of Brownian particles. One of the most popular approaches in path planning is to use the artificial potential fields method which, due to it...
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This paper proposes an algorithm for trajectory planning based on the motion of Brownian particles. One of the most popular approaches in path planning is to use the artificial potential fields method which, due to its easiness in implementation, might attract the robot towards a local minimum configuration, thus preventing it from reaching the desired final destination. Although there are different approaches to deal with this drawback, their modeling lacks the simplicity of the potential fields, adding thus an extra complexity to the problem. The solution proposed here combines the strengths of both approaches: it is easy to analyze and to implement, just like in the potentials method, while it preserves the robustness against local minima of more complex particle swarm models. An approximate analysis for the deterministic version of the selected model was performed and it was observed, via simulations, that the results obtained after this simplification were consistent with the behavior of the stochastic system.
This study aims to give an accurate estimate of the effective thermal-mechanical properties of a coreless circuit substrate for advanced IC packages. To achieve the goal, a subdomain-based effective method is proposed...
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This study aims to give an accurate estimate of the effective thermal-mechanical properties of a coreless circuit substrate for advanced IC packages. To achieve the goal, a subdomain-based effective method is proposed, incorporating a sub-domain three-dimensional (3D) copper trace mapping and modeling (TMM) method, a volume-averaging rule of mixture (ROM) technique and finite element modeling. Furthermore, the proposed effective method is combined with an FEA-based process simulation framework to investigate the process-induced warpage of a flip-chip chip scale package during fabrication. At last, parametric analysis is performed to identify the crucial factors influencing the process-induced warpage of the package.
Supervised learning in function spaces is an emerging area of machine learning research with applications to the prediction of complex physical systems such as fluid flows, solid mechanics, and climate modeling. By di...
ISBN:
(纸本)9781713871088
Supervised learning in function spaces is an emerging area of machine learning research with applications to the prediction of complex physical systems such as fluid flows, solid mechanics, and climate modeling. By directly learning maps (operators) between infinite dimensional function spaces, these models are able to learn discretization invariant representations of target functions. A common approach is to represent such target functions as linear combinations of basis elements learned from data. However, there are simple scenarios where, even though the target functions form a low dimensional submanifold, a very large number of basis elements is needed for an accurate linear representation. Here we present NOMAD, a novel operator learning framework with a nonlinear decoder map capable of learning finite dimensional representations of nonlinear submanifolds in function spaces. We show this method is able to accurately learn low dimensional representations of solution manifolds to partial differential equations while outperforming linear models of larger size. Additionally, we compare to state-of-the-art operator learning methods on a complex fluid dynamics benchmark and achieve competitive performance with a significantly smaller model size and training cost.
This paper is concerned with the problem of identifying a discrete-time dynamical system model for a gene regulatory network with unknown topology using time series gene expression data. The topology of such a network...
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ISBN:
(纸本)9781467357159
This paper is concerned with the problem of identifying a discrete-time dynamical system model for a gene regulatory network with unknown topology using time series gene expression data. The topology of such a network can be characterized by a set of regulation hypotheses, one for each gene. In our earlier work, we formulated a convex optimization method to select the regulation hypotheses (and hence the network topology). In this paper, we further optimize the dynamics of the inferred network. Specifically, for a given topology, we minimize the l_2 distance between the experimental data and the model prediction. We illustrate the performance of our algorithm by identifying models for gene networks with known topology.
In this paper, the position of a mobile robot using DGPS (differential GPS) and UPS (ultrasonic positioning system) is measured and the performance of UPS is analyzed using DGPS. UPS is absolute positioning system usi...
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ISBN:
(纸本)0780387309
In this paper, the position of a mobile robot using DGPS (differential GPS) and UPS (ultrasonic positioning system) is measured and the performance of UPS is analyzed using DGPS. UPS is absolute positioning system using ultrasonic waves and has better performance in low price than the other absolute positioning systems. So in order to evaluate the performance, UPS is compared with the RTK (real-time kinematics) method, which is of the most accurate methods in the DGPS. As a result, the possibility of using UPS can be discussed as pseudolites or pseudosatellites in the place where GPS is not available.
The design-informatics approach has been proposed for next-generation innovative design methodology. The multi-objective problem should be treated in a real-world engineering problem because of the various design requ...
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The design-informatics approach has been proposed for next-generation innovative design methodology. The multi-objective problem should be treated in a real-world engineering problem because of the various design requirements. When a multi-objective optimization is implemented, the obtained result is not a sole solution but a set of optimum solutions due to tradeoff relations among design requirements. Therefore, decision-making process is necessary as a post-process for optimization result. In the present study, the design-informatics approach, which is considered as a sequential process between an optimization and its post-process operations, is suggested and is applied to the large-scale and real-world design problem. Consequently, a compromised solution can be efficiently decided from the non-dominated solutions obtained by multidisciplinary design optimization. This approach would be a new efficient procedure for design manner, and also it would be the methodology that innovative design knowledge can be acquired.
The positioning problem of mobile robot is an important part of control problem for mobile robot. Dead Reckoning is widely used for positioning of mobile robot. However this method has problems because it accumulates ...
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ISBN:
(纸本)0780387309
The positioning problem of mobile robot is an important part of control problem for mobile robot. Dead Reckoning is widely used for positioning of mobile robot. However this method has problems because it accumulates estimation errors. In this paper, we propose a new method to increase the accuracy of estimated position using the U-SAT (Ultrasonic Satellite system). U-SAT is composed of a distance measurement using ultrasonic wave and the position acquisition in the world coordinate using the GPS. It is shown that we will be able to estimate the position of mobile robot precisely, in which errors are not accumulated. The experimental results show that the proposed method is enable to estimate the position of the mobile robot.
This paper introduces the concept of thermal air braking, which involves heating a portion of the airfoil's upper surface to achieve the braking effect. A 2D Computational Fluid Dynamics (CFD) analysis is conducte...
This paper introduces the concept of thermal air braking, which involves heating a portion of the airfoil's upper surface to achieve the braking effect. A 2D Computational Fluid Dynamics (CFD) analysis is conducted using ANSYS Fluent software to study the impact of heating the upper back portion of the top surface of an airfoil. The study compares the results of the heated and non-heated cases for NACA 4415. Different aerodynamic efficiencies are investigated, such as lift coefficient (C L ), drag coefficient (C D ), lift-to-drag coefficient (C L /C D ), and pressure coefficient (C P ). The results are promising since there is an increase in the drag coefficient by 70% and a decrease in the lift coefficient by 5%, achieved by heating the last portion of the airfoil.
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