Introduction Physical activity (PA) is one of the most important lifestyle behaviors to reduce the risk for non-communicable diseases. Positive effects of the urban environment on PA in terms of walkability measures s...
Introduction Physical activity (PA) is one of the most important lifestyle behaviors to reduce the risk for non-communicable diseases. Positive effects of the urban environment on PA in terms of walkability measures such as street connectivity, land use mix, and availability of public open spaces in the urban neighborhood are well investigated. However, evidence of this association is mostly based on cross-sectional studies. Usually, discrete measures of urban point characteristics such as the simple intensity are calculated based on arbitrary municipal districts inducing scaling bias. The present study aims to longitudinally investigate the effect of built environment characteristics on PA of children in their transition phase to adolescence. We considered a kernel intensity approach to assess built environment characteristics and linked urban measures with objectively measured PA data that were collected in the IDEFICS/*** cohort. methods Spatial data were collected in six study regions of three countries, Germany, Italy, and Sweden, participating in the IDEFICS/*** cohort. We considered walkability measures such as population density, land use mix (LUM), street connectivity, and availability of public transit. We additionally assessed the availability of public open spaces (POS). Point characteristics, e.g. intersections or POS, were assessed via adaptive anisotropic kernel functions. Urban measures were calculated in network-dependent home neighborhoods using a network distance of 1 km. We used standardized z-scores of urban measures to construct a moveability index that quantifies urban opportunities for PA of children and adolescents. Based on the place of residence, we linked urban measures with individual-level data of 699 children aged 2 to 14, who provided at least two ( n = 610) or three ( n = 89) accelerometer measurements, from either baseline, first follow-up (IDEFICS study), or second follow-up (*** study) with in total 1487 o
We consider the inverse problem associated with IFSM: Given a target function f , find an IFSM, such that its fixed point f¯ is sufficiently close to f in the Lp distance. Forte and Vrscay [1] showed how to reduc...
We consider the inverse problem associated with IFSM: Given a target function f , find an IFSM, such that its fixed point f¯ is sufficiently close to f in the Lp distance. Forte and Vrscay [1] showed how to reduce this problem to a quadratic optimization model. In this paper, we extend the collage-based method developed by Kunze, La Torre and Vrscay ([2][3][4]), by proposing the minimization of the 1-norm instead of the 0-norm. In fact, optimization problems involving the 0-norm are combinatorial in nature, and hence in general NP-hard. To overcome these difficulties, we introduce the 1-norm and propose a Sequential Quadratic Programming algorithm to solve the corresponding inverse problem. As in Kunze, La Torre and Vrscay [3] in our formulation, the minimization of collage error is treated as a multi-criteria problem that includes three different and conflicting criteria i.e., collage error, entropy and sparsity. This multi-criteria program is solved by means of a scalarization technique which reduces the model to a single-criterion program by combining all objective functions with different trade-off weights. The results of some numerical computations are presented.
This study presents the Architecture Specific Model (ASM) defined by the MoWebA approach to improve the development of web applications for different architectures. MoWebA is a model-driven approach to web application...
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ISBN:
(纸本)9781479987115
This study presents the Architecture Specific Model (ASM) defined by the MoWebA approach to improve the development of web applications for different architectures. MoWebA is a model-driven approach to web applications development. The article presents a general overview of MoWebA, including the methodological aspects related to its modeling and transformation processes, the process of defining the ASM, and an example of an ASM model. We finally present a preliminary validation experience and its main results. The experience was structured according to the proposal of Runeson et al. for case studies.
Because titanium alloy Ti6Al4V features low density, good corrosion resistance and biocompatibility, it a metal of choice for medicine, used in orthopedics, accident surgery and dentistry. The insertion of elements su...
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Optimal control is a task where it is desired to determine the inputs of a dynamical system that optimize (minimize or maximize) a specified cost functional, also known as performance index, while satisfying any const...
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Optimal control is a task where it is desired to determine the inputs of a dynamical system that optimize (minimize or maximize) a specified cost functional, also known as performance index, while satisfying any constraints on behaviour of the system. As the name suggests, inverse optimal control is the opposite of the former one and thus is associated with mining of the cost functional, optimal behaviour of which fits the given results best. In this paper, we present the importance of evolutionary bilevel optimization techniques as a promising approach to solve inverse optimal control problems. Generally, inverse optimal control problems are found to be ill posed which makes them computationally expensive in addition to the associated redundancy with the solution. Inverse optimal control theory works as a stepping stone in figuring out the underlying optimality criteria in a given task. It has several other applications in areas like Markov's Decision Processes and Game Theory. In our work, we solve inverse optimal control problems to retrieve the original functional in optimal control task using metaheuristic based bilevel optimization techniques. The dataset comprising of state variables generated from an optimal control problem is utilized to mine the functional. In the later part of our paper, we formulate a problem of human motion transfer as a bilevel optimization task, and subsequently solve it using a bilevel algorithm.
The landscape of contemporary engineering education is ever changing, adapting and evolving. Finite element theory and application has often been the focus of graduate-level courses in engineering programs;however, in...
The landscape of contemporary engineering education is ever changing, adapting and evolving. Finite element theory and application has often been the focus of graduate-level courses in engineering programs;however, industry needs more bachelor's-level engineering graduates to have skills in applying this essential analysis and design technique. Today's globally competitive world requires fast redesigns of products/processes that are well-suited to using finite element analysis to reduce the design cycle. We have used the Kolb Learning Cycle as a conceptual framework to improve student learning of difficult engineering concepts, and to gain essential knowledge of finite element analysis (FEA) and design content knowledge. A team of researchers, with a National science Foundation grant for the past five years, have created and made improvements to seventeen active learning FEA modules which were originally developed using MSC Nastran, following the development efforts in SolidWorks Simulation, ANSOFT, ANSYS, and other commercial FEA software packages. We summarize the incremental improvements of these learning modules during the past five years as we implemented them into undergraduate courses that covered topics such as machine design, mechanical vibrations, heat transfer, bioelectrical engineering, electromagnetic field analysis, structural fatigue analysis, computational fluid dynamics, rocket design, and chip formation during manufacturing, and large scale deformation in machining. This paper summarizes five years of incremental improvements to the modules comparing the student performance on pre- and post-learning module quizzes to gauge change in student knowledge related to the difficult engineering concepts addressed in each module. The researchers made significant changes to their finite element learning modules annually to improve student understanding of these difficult engineering concepts in their classes. Statistically, significant student performance ga
Relativistic configuration-interaction calculations using hydrogenlike or Dirac-Fock spin orbitals of the transition from the ground state to some np1/2, np3/2 low-lying excited states for the alkali metals are presen...
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Relativistic configuration-interaction calculations using hydrogenlike or Dirac-Fock spin orbitals of the transition from the ground state to some np1/2, np3/2 low-lying excited states for the alkali metals are presented. In these calculations each virtual spin orbital corresponds to a unique noninteger atomic number determined iteratively using the virtual-particle model. The virtual-particle model based on “condensed-space” idea is here adopted to many electron systems consisting of a single valence electron and the core. The transition energy and the oscillator strength values were computed for sodium, potassium, rubidium, cesium, and francium. Both hydrogenlike and Dirac-Fock basis functions have been used in the computations for comparison.
Cyber Physical Systems (CPS) combines physical and computing systems tightly. Node operating systems (OS) are fundamental units in CPS. There are still many problems unsolved when designing CPS especially CPS node OS ...
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ISBN:
(纸本)9781467384155
Cyber Physical Systems (CPS) combines physical and computing systems tightly. Node operating systems (OS) are fundamental units in CPS. There are still many problems unsolved when designing CPS especially CPS node OS in aspects of predictability, reliability, robustness, etc. In this paper we propose a mixed priority real time scheduling method to enhance the CPS node OS performance. Generally, CPS node operating system uses a single method to assign priority. The single priority selection method will lead to the high deadline miss ration, which make the node OS performance drop sharply. Aiming at this problem, a scheduling method is proposed whose priority selection is determined by several characteristic parameters. The results show that the DMR of the proposed method is lower than that of single parameter method. Consequently, the predictability and reliability of CPS node OS is improved effectively.
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