In recent years, a number of modeling and simulation graduate programs have been initiated to address the growing demand in industry and government for engineers and scientists educated in this discipline. However, mu...
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ISBN:
(纸本)9781936338467
In recent years, a number of modeling and simulation graduate programs have been initiated to address the growing demand in industry and government for engineers and scientists educated in this discipline. However, much less has been done to develop undergraduate programs. This paper addresses the design of a curriculum for a baccalaureate program in modeling and simulationengineering. The constraints and objectives that guide the curriculum design are described. Then the development of a new curriculum, designed to meet the ABET accreditation requirements for general engineering programs, is presented.
The inclusion of innovation within engineering education is being identified as a crucial effort to ensure our technological competitiveness as evident by the number of solicitations including engineering innovation e...
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ISBN:
(纸本)9781936338467
The inclusion of innovation within engineering education is being identified as a crucial effort to ensure our technological competitiveness as evident by the number of solicitations including engineering innovation education by the National Science Foundation. While most work is spent on identifying how to create environments that foster innovation, this paper focuses on developing a technical skill set that enables innovation when in the correct environment. The premise of this paper is that the skills taught within the modeling and simulation curricula are those that enable innovative thinking. The skill set focuses on the abstract thinking, communication, and evaluation skills. This paper does not propose changing current engineering curricula, but rather to augment them by introducing abstract modeling concepts early in the curriculum, allowing students to see the generation of an innovative idea. This is be done through a series of small modules and assignments spread throughout the curriculum. Furthermore, the modules benefit the existing curricula by providing a context for why the students are learning the classic material.
In this paper, we present the implementation of a Multigrid ODE solver in SOFA framework. By combining the stability advantage of coarse meshes and the transient detail preserving virtue of fine meshes, Multigrid ODE ...
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ISBN:
(纸本)9781424441198
In this paper, we present the implementation of a Multigrid ODE solver in SOFA framework. By combining the stability advantage of coarse meshes and the transient detail preserving virtue of fine meshes, Multigrid ODE solver computes more efficiently than classic ODE solvers based on a single level discretization. With the ever wider adoption of the SOFA framework in many surgical simulation projects, introducing this Multigrid ODE solver into SOFA’s pool of ODE solvers shall benefit the entire community. This contribution potentially has broad ramifications in the surgical simulation research community, given that in a single-resolution system, a constitutively realistic interactive tissue response, which presupposes large elements, is in direct conflict with the need to represent clinically relevant critical tissues in the simulation, which are typically be comprised of small elements.
The article focuses on the complicated nature of technologies and complex systems in the future. It mentions that future technologies will focus on complex adaptive systems, which consist of simultaneously interacting...
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The article focuses on the complicated nature of technologies and complex systems in the future. It mentions that future technologies will focus on complex adaptive systems, which consist of simultaneously interacting components. It states that complex systems of the future will require a multidisciplinary framework called emergent engineering, which is a convergence of complexity theory and science in engineering designs. It notes that emergent engineering relates to innovation, complexity and cybernetics within a specific intelligent environment.
Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally ...
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The purpose of this research was to improve the current treatment process for Pectus Carinatum (PC). PC is a chest deformity where the sternum and surrounding area are pushed outwards as a result of an excessive amoun...
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作者:
ManWo NgDepartment of Modeling
Simulation and Visualization Engineering 1318 Engineering and Computational Sciences Building Old Dominion University Norfolk VA 23529 USA Department of Civil and Environmental Engineering
1318 Engineering and Computational Sciences Building Old Dominion University Norfolk VA 23529 USA
The algorithm described on page 785 to solve the problem "Given that sensors are present on the links in the subset R∩E, what link flows can be inferred from them?" should be clarified as: Step 1 Find rref(...
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The algorithm described on page 785 to solve the problem "Given that sensors are present on the links in the subset R∩E, what link flows can be inferred from them?" should be clarified as: Step 1 Find rref(A_(uob)). Step 2 Find all rows in rref(A_(uob))that contain exactly one non-zero value. The links associated with these non-zero values are inferable.
Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minima...
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Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally invasive surgery for correcting pectus excavatum (PE) - a congenital chest wall deformity. Although this procedure is routinely performed, the outcome depends mostly on the correct placement of the bar. It would be beneficial if a surgeon had a chance to practice and review possible strategies for placement of the corrective bar and the associated appearance of the chest. Therefore, we propose a strategy for the development of a Nuss procedure surgical trainer and planner, taking into account the biomechanical properties of the PE ribcage, emerging trends in surgical planners, deformable models, and visualization techniques. Additionally, we present the initial results of before and after surgery surface scans analysis as a means to validate results, comparison of an average chest shape with post-operative to quantify the outcome of the surgery, and the hardware setup of the simulator.
The purpose of this research was to improve the current treatment process for Pectus Carinatum (PC). PC is a chest deformity where the sternum and surrounding area are pushed outwards as a result of an excessive amoun...
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The purpose of this research was to improve the current treatment process for Pectus Carinatum (PC). PC is a chest deformity where the sternum and surrounding area are pushed outwards as a result of an excessive amount of rib cartilage. The current treatment process involves wearing a chest brace to slowly pull the shape of the chest back into a normal shape. The current treatment process lasts for about seven months and the brace has to be worn for at least seven hours each day during this process [1].
In ab-initio Configuration Interaction calculations, the nuclear wavefunction is expanded in Slater determinants of single-nucleon wavefunctions and the many-body Schrodinger equation becomes a large sparse matrix pro...
In ab-initio Configuration Interaction calculations, the nuclear wavefunction is expanded in Slater determinants of single-nucleon wavefunctions and the many-body Schrodinger equation becomes a large sparse matrix problem. The challenge is to reach numerical convergence to within quantified numerical uncertainties for physical observables using finite truncations of the infinite-dimensional basis space. We discuss strategies for constructing and solving the resulting large sparse matrix eigenvalue problems on current multicore computer architectures. Several of these strategies have been implemented in the code MFDn, a hybrid MPI/OpenMP Fortran code for ab-initio nuclear structure calculations that can scale to 100,000 cores and more. Finally, we will conclude with some recent results for 12C including emerging collective phenomena such as rotational band structures using SRG evolved chiral N3LO interactions.
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