The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Zhang Wei - One of the best experts on this subject based on the ideXlab platform.
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Research and Application of cnXML Application Modeling Methodology
Computer Engineering, 2004Co-Authors: Zhang WeiAbstract:cnXML is an XML-based Chinese E-business standard which is applied mainly in manufacturing. To support its Applications, a UML-based Modeling language and a corresponding Modeling methodology are necessary to describe the E-business processes. This paper introduces the Modeling methodology: cnXML Application Modeling methodology (cnXAMM), including its architecture, workflows and deliverables. And as an example of its Applications, an order system is presented.
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Research and Application of cnXML Application Modeling Methodology
Computer Engineering, 2004Co-Authors: Zhang WeiAbstract:cnXML is an XML-based Chinese E-business standard which is applied mainly in manufacturing. To support its Applications, a UML-based Modeling language and a corresponding Modeling methodology are necessary to describe the E-business processes. This paper introduces the Modeling methodology: cnXML Application Modeling methodology (cnXAMM), including its architecture, workflows and deliverables. And as an example of its Applications, an order system is presented.
Jakob Heide Jorgensen - One of the best experts on this subject based on the ideXlab platform.
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convex optimization problem prototyping for image reconstruction in computed tomography with the chambolle pock algorithm
Physics in Medicine and Biology, 2012Co-Authors: Emil Y Sidky, Jakob Heide JorgensenAbstract:The primal–dual optimization algorithm developed in Chambolle and Pock (CP) (2011 J. Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal–dual algorithm is briefly summarized in this paper, and its potential for prototyping is demonstrated by explicitly deriving CP algorithm instances for many optimization problems relevant to CT. An example Application Modeling breast CT with low-intensity x-ray illumination is presented.
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convex optimization problem prototyping with the chambolle pock algorithm for image reconstruction in computed tomography
2011Co-Authors: Emil Y Sidky, Jakob Heide Jorgensen, Xiaochuan PanAbstract:The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal-dual algorithm is briefly summarized in the article, and several CP algorithm instances for many optimization problems relevant to CT are explicitly derived. An example Application Modeling breast CT with lowintensity X-ray illumination is presented.
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convex optimization problem prototyping for image reconstruction in computed tomography with the chambolle pock algorithm
arXiv: Numerical Analysis, 2011Co-Authors: Emil Y Sidky, Jakob Heide Jorgensen, Xiaochuan PanAbstract:The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal-dual algorithm is briefly summarized in the article, and its potential for prototyping is demonstrated by explicitly deriving CP algorithm instances for many optimization problems relevant to CT. An example Application Modeling breast CT with low-intensity X-ray illumination is presented.
Emil Y Sidky - One of the best experts on this subject based on the ideXlab platform.
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convex optimization problem prototyping for image reconstruction in computed tomography with the chambolle pock algorithm
Physics in Medicine and Biology, 2012Co-Authors: Emil Y Sidky, Jakob Heide JorgensenAbstract:The primal–dual optimization algorithm developed in Chambolle and Pock (CP) (2011 J. Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal–dual algorithm is briefly summarized in this paper, and its potential for prototyping is demonstrated by explicitly deriving CP algorithm instances for many optimization problems relevant to CT. An example Application Modeling breast CT with low-intensity x-ray illumination is presented.
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convex optimization problem prototyping with the chambolle pock algorithm for image reconstruction in computed tomography
2011Co-Authors: Emil Y Sidky, Jakob Heide Jorgensen, Xiaochuan PanAbstract:The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal-dual algorithm is briefly summarized in the article, and several CP algorithm instances for many optimization problems relevant to CT are explicitly derived. An example Application Modeling breast CT with lowintensity X-ray illumination is presented.
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convex optimization problem prototyping for image reconstruction in computed tomography with the chambolle pock algorithm
arXiv: Numerical Analysis, 2011Co-Authors: Emil Y Sidky, Jakob Heide Jorgensen, Xiaochuan PanAbstract:The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm allows for rapid prototyping of optimization problems for the purpose of designing iterative image reconstruction algorithms for CT. The primal-dual algorithm is briefly summarized in the article, and its potential for prototyping is demonstrated by explicitly deriving CP algorithm instances for many optimization problems relevant to CT. An example Application Modeling breast CT with low-intensity X-ray illumination is presented.
Gerben Essink - One of the best experts on this subject based on the ideXlab platform.
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yapi Application Modeling for signal processing systems
Design Automation Conference, 2000Co-Authors: E A De Kock, W J M Smits, P Van Der Wolf, J Y Brunel, Wido Kruijtzer, Paul Lieverse, Kees Vissers, Gerben EssinkAbstract:We present a programming interface called YAPI to model signal processing Applications as process networks. The purpose of YAPI is to enable the reuse of signal processing Applications and the mapping of signal processing Applications onto heterogeneous systems that contain hardware and software components. To this end, YAPI separates the concerns of the Application programmer, who determines the functionality of the system, and the system designer, who determines the implementation of the functionality. The proposed model of computation extends the existing model of Kahn process networks with channel selection to support non-deterministic events. We provide an efficient implementation of YAPI in the form of a C++ run-time library to execute the Applications on a workstation. Subsequently, the Applications are used by the system designer as input for mapping and performance analysis in the design of complex signal processing systems. We evaluate this methodology on the design of a digital video broadcast system-on-chip.
Ravi Kant Avvari - One of the best experts on this subject based on the ideXlab platform.
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A novel two-indenter based micro-pump for lab-on-a-chip Application: Modeling and characterizing flows for a non-Newtonian fluid
Meccanica, 2021Co-Authors: Ravi Kant AvvariAbstract:Inspired by the feeding mechanisms of a nematode, a novel two-indenter (2I) micro-pump is analyzed theoretically for transport and mixing of a non-Newtonian fluid for the purpose of lab-on-a-chip Applications. Considering that the viscous forces dominate the flows in microscopic regime, the concept lubrication theory was adopted to device the two-dimensional flow model of the problem. By approximating the movements of the indenter as a sinusoidal function, the details of the flow were investigated for variations in—frequency of contraction of the first value keeping the second valve at higher occlusion, and occlusion. The study indicates that occlusive nature of the second valve leads to the large pressure barrier which prevents the fluid to enter into the neighboring compartment. Transport occurs as the lumen opens to develop a suction pressure. Pressure barrier is found to be highest for dilatants followed by Newtonian and pseudo-plastics. Shear stress dependency on frequency the contraction of the first value is highest for lower values of flow behavior index. In conclusion, the study provides details connecting the flows resulting from the indentation of the front-end indenter to the frequency of indentation, geometry and rheology of the fluid, thus facilitating optimal design of the micro-pumps.