Evolutionary games model a common type of interactions in a variety of complex, networked, natural systems and social systems. Given such a system, uncovering the interacting structure of the underlying network is key...
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Evolutionary games model a common type of interactions in a variety of complex, networked, natural systems and social systems. Given such a system, uncovering the interacting structure of the underlying network is key to understanding its collective dynamics. Based on compressive sensing, we develop an efficient approach to reconstructing complex networks under game-based interactions from small amounts of data. The method is validated by using a variety of model networks and by conducting an actual experiment to reconstruct a social network. While most existing methods in this area assume oscillator networks that generate continuous-time data, our work successfully demonstrates that the extremely challenging problem of reverse engineering of complex networks can also be addressed even when the underlying dynamical processes are governed by realistic, evolutionary-game type of interactions in discrete time.
Accurate reduction of two-dimensional curve noises at sharp edges, corners, or C0 discontinuous end points is crucial to the fast and accurate metrology, because more severe measurement errors of various sensors are f...
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Accurate reduction of two-dimensional curve noises at sharp edges, corners, or C0 discontinuous end points is crucial to the fast and accurate metrology, because more severe measurement errors of various sensors are frequently observed near sharp edges and corners of the objects to be measured. In this paper we explore three schemes (interior-point, polynomial extrapolation- and reflectionpoint methods) for handling C0 discontinuity. We also propose a new interior-point method for dealing with the accurate denoising of C1 discontinuity. Numerical experiments have been conducted for demonstrating the efficacy of our new approach in terms of denoising accuracy.
CHIMERA is a multi-dimensional radiation hydrodynamics code designed to study core-collapse supernovae. The code is made up of three essentially independent parts: a hydrodynamics module, a nuclear burning module, and...
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CHIMERA is a multi-dimensional radiation hydrodynamics code designed to study core-collapse supernovae. The code is made up of three essentially independent parts: a hydrodynamics module, a nuclear burning module, and a neutrino transport solver combined within an operator-split approach. Given CHIMERA's complexity and pace of ongoing development, a new support system, Bellerophon, has been designed and implemented to perform automated verification, visualization and management tasks while integrating with other workflow systems utilized by CHIMERA's development group. In order to achieve these goals, a multitier approach has been adopted. By integrating supercomputing platforms, visualization clusters, a dedicated web server and a client-side desktop application, this system attempts to provide an encapsulated, end-to-end solution to these needs.
We introduce a recently developed general computational model for the electromagnetic simulations of complex atomic, molecular, or semiconductor media using the finite difference time domain (FDTD) method based on a m...
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ISBN:
(纸本)9781424483938
We introduce a recently developed general computational model for the electromagnetic simulations of complex atomic, molecular, or semiconductor media using the finite difference time domain (FDTD) method based on a multilevel multi-electron (MLME) system. We show how this MLMEFDTD model can be used for spatial-temporal simulation of a wide range of active optoelectronic and plasmonic devices. Realistic simulations ranging from semiconductor lasers, to plasmonic lasers, and semiconductor optical amplifiers are illustrated.
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations on select locations while performing t...
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Massively parallel computations consist of a mixture of computation, communication, and I/O. Of these three components, implementing an effective parallel I/O solution has often been overlooked by application scientis...
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Massively parallel computations consist of a mixture of computation, communication, and I/O. Of these three components, implementing an effective parallel I/O solution has often been overlooked by application scientists and has typically been added to large scale simulations only when existing serial techniques have failed. As scientists' teams scaled their codes to run on hundreds of processors, it was common to call on an I/O expert to implement a set of more scalable I/O routines. These routines were easily separated from the calculations and communication, and in many cases, an I/O kernel was derived from the application which could be used for testing I/O performance independent of the application. These I/O kernels developed a life of their own used as a broad measure for comparing different I/O techniques. Unfortunately, as years passed and computation and communication changes required changes to the I/O, the separate I/O kernel used for benchmarking remained static, no longer providing an accurate indicator of the I/O performance of the simulation, and making I/O research less relevant for the application scientists. In this paper we describe a new approach to this problem where I/O kernels are replaced with skeletal I/O applications that are automatically generated from an abstract set of simulation I/O parameters. We realize this abstraction by leveraging the ADIOS [1] middleware's XML I/O specification with additional runtime parameters. Skeletal applications offer all of the benefits of I/O kernels including allowing I/O optimizations to focus on useful I/O patterns. Moreover, since they are automatically generated, it is easy to produce an updated I/O skeleton whenever the simulation's I/O changes. In this paper we analyze the performance of automatically generated I/O skeletal applications for the S3D and GTS codes. We show that these skeletal applications achieve performance comparable to that of the production applications. We wrap up the paper with
More and more network applications have appeared in recent years. Government, university, industry and individual Internet users and network services need more bandwidth and various network applications. Many new netw...
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Vertical optical mode-size transformation from 260nm-thick Si-nanowaveguide to 10-12μm matching the single-mode-fibre-core has been demonstrated using compact multilayer Si/SiO2 asymmetric GRIN lens (length :∼24μm)...
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In the paper, we classify cancer with the Leukemia cancer of medical diagnostic data. Information gain has been adapted for feature selections. A Leukemia cnacer model that utilizes Information Gain based on Support V...
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We introduce a recently developed general computational model for the electromagnetic simulations of complex atomic, molecular, or semiconductor media using the finite difference time domain (FDTD) method based on a m...
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We introduce a recently developed general computational model for the electromagnetic simulations of complex atomic, molecular, or semiconductor media using the finite difference time domain (FDTD) method based on a multi-level multi-electron (MLME) system. We show how this MLME-FDTD model can be used for spatial-temporal simulation of a wide range of active optoelectronic and plasmonic devices. Realistic simulations ranging from semiconductor lasers, to plasmonic lasers, and semiconductor optical amplifiers are illustrated.
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