Mathematical methods and models for complex engineering problems
Mathematical methods and models for complex engineering problems
批准号:
RGPIN-2017-05754
负责人:
Saucier, Antoine
金额:
$1.75万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
我们的研究计划侧重于开发现实模型和计算机算法来解决复杂的工程问题。我们研究的应用问题具有以下复杂性属性:高维性、非线性和建模困难。我们将介绍这个节目的三个部分。******“无伪影”图像降噪方法:大多数降噪方法引入的伪影在残差图像中是可见的,残差图像是原始噪声图像与去噪图像之间的差异。我们建议开发更好的方法,利用图像的精细局部分析和全局优化策略。这项工作将导致信号处理中在数量和质量上优越的降噪性能,这反过来将对图像估计精度至关重要的应用产生重大影响,例如医学成像。******最优飞机轨迹:成本指数是一个控制飞行时间的参数,它决定了燃料成本和延误处罚(例如由错过转机航班的乘客造成的)。从经济和环境的角度出发,准确估计最优成本指标是非常重要的。我们提出了一种快速、精确的成本指标估算方法。我们的方法将是使用我们的飞行轨迹优化系统和连接出发点和到达点的轨迹子集。更准确地估计成本指数和更好地管理飞机燃料储备,应对燃料消耗和二氧化碳排放产生直接和重大的影响,因为这两方面会产生重大的经济和环境后果。******微分方程的经典和几何方法:解析解,甚至近似解,对工程师来说比数值解更有用,因为它们提供了作为参数函数的现象的理解。我将研究与含水层测试相关的水文地质问题,这是一套用于表征地下水的方法。其中一种试验是抽水试验,它包括从井中抽水,并测量抽水井和观测井中的水位随时间的函数。我将研究无承压含水层抽水试验的解决方案。对于经常用于饮用水供应并且最容易受到污染的无承压含水层,目前还没有完全的解决办法。它们的瞬态响应的解析解应有助于实现更可靠的资源评估和更有效的污染情况的泵和处理系统。
英文摘要
Our research program focuses on the development of realistic models and computer algorithms for the solution of complex engineering problems. The applied problems that we study share the following complexity attributes: high-dimensionality, nonlinearity and modeling difficulties. We describe three parts of this program.******"ARTEFACT-FREE" NOISE REDUCTION METHODS FOR IMAGES: most noise reduction methods introduce artefacts that become visible if one looks at the residual image, which is the difference between the original noisy image and the denoised image. We propose to develop better methods that exploit a fine local analysis of the image and a global optimization strategy. This work should lead to both quantitatively and qualitatively superior noise reduction performance in signal processing, which in turn should have a major impact on the applications for which the image estimate accuracy is crucial, e.g. medical imaging.******OPTIMAL AIRCRAFT TRAJECTORIES: The cost-index is a parameter that controls flight time, which determines both fuel cost and late-arrival penalties (caused e.g. by passengers that miss their connecting flights). A precise estimation of the optimal cost-index is very important for economical and environmental reasons. We propose to develop a fast and precise cost-index estimation method. Our approach will be to use our flight trajectory optimization system with a subset of the trajectories that links departure and arrival points. A more accurate estimate of the cost-index and a better management of the fuel reserve for aircrafts should have a direct and significant impact on both fuel consumption and carbon dioxyde emissions, which have major economic and environmental consequences.******CLASSICAL AND GEOMETRICAL METHODS FOR DIFFERENTIAL EQUATIONS: Analytical solutions, even approximate, are much more useful to engineers than numerical solutions because they provide an understanding of the phenomenon as a function of its parameters. I will study a hydrogeology problem related to aquifer testing, which is a set of methods that are used to characterize groundwater. One such test is the pumping test, which consists in pumping water from a well and measuring the water level in the pumping well and observation wells as a function of time. I will study the solution of a pumping test for unconfined aquifers. No complete solution is known for unconfined aquifers, which are frequently used for drinking water supply and are the most vulnerable to contamination. Analytic solutions of their transient responses should help to achieve more reliable assessment of the resources and more effective pump-and-treat systems for contamination cases.
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Mathematical methods and models for complex engineering problems
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批准号:RGPIN-2017-05754
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2022
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负责人:Saucier, Antoine
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依托单位:
Mathematical methods and models for complex engineering problems
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批准号:RGPIN-2017-05754
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2021
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负责人:Saucier, Antoine
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依托单位:
Mathematical methods and models for complex engineering problems
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批准号:RGPIN-2017-05754
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2020
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负责人:Saucier, Antoine
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依托单位:
Mathematical methods and models for complex engineering problems
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批准号:RGPIN-2017-05754
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2019
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负责人:Saucier, Antoine
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依托单位:
Evaluation of the Aeroplan distinction status program desirability
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批准号:529296-2018
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2018
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负责人:Saucier, Antoine
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依托单位:
Mathematical methods and models for complex engineering problems
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批准号:RGPIN-2017-05754
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2017
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负责人:Saucier, Antoine
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依托单位:
Front-end Signal Processing for Improved Automatic Speech Recognition
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批准号:522072-2017
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2017
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负责人:Saucier, Antoine
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依托单位:
Multiscale Methods for Signal Processing
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批准号:250241-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
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财政年份:2015
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负责人:Saucier, Antoine
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依托单位:
Multiscale Methods for Signal Processing
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批准号:250241-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
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财政年份:2014
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负责人:Saucier, Antoine
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依托单位:
Multiscale Methods for Signal Processing
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批准号:250241-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
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财政年份:2013
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负责人:Saucier, Antoine
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依托单位:
Multiscale Methods for Signal Processing
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批准号:250241-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
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财政年份:2012
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负责人:Saucier, Antoine
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依托单位:
Multiscale methods for signal processing and image synthesis
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批准号:250241-2008
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
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财政年份:2010
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负责人:Saucier, Antoine
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依托单位:
Multiscale methods for signal processing and image synthesis
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批准号:250241-2008
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
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财政年份:2009
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负责人:Saucier, Antoine
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依托单位:
Multiscale methods for signal processing and image synthesis
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批准号:250241-2008
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.87万
-
财政年份:2008
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负责人:Saucier, Antoine
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依托单位:
Signal analysis and fractal methods for geophysical data analysis
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批准号:250241-2003
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.73万
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财政年份:2007
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负责人:Saucier, Antoine
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依托单位:
Signal analysis and fractal methods for geophysical data analysis
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批准号:250241-2003
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.73万
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财政年份:2006
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负责人:Saucier, Antoine
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依托单位:
Signal analysis and fractal methods for geophysical data analysis
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批准号:250241-2003
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.73万
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财政年份:2005
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负责人:Saucier, Antoine
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依托单位:
Signal analysis and fractal methods for geophysical data analysis
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批准号:250241-2003
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.73万
-
财政年份:2004
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负责人:Saucier, Antoine
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依托单位:
Signal analysis and fractal methods for geophysical data analysis
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批准号:250241-2003
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.73万
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财政年份:2003
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负责人:Saucier, Antoine
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依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
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批准号:60872130
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项目类别:面上项目
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资助金额:28.0万元
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批准年份:2008
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负责人:刘国才
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依托单位:
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: