Parameterized code SHARM-3D for radiative transfer over inhomogeneous surfaces
Applied Optics, 2005The code SHARM-3D, developed for fast and accurate simulations of the monochromatic radiance at the top of the atmosphere over spatially variable surfaces with Lambertian or anisotropic reflectance, is described. The atmosphere is assumed to be laterally uniform across the image and to consist of two layers with aerosols contained in the bottom layer ...
Alexei, Lyapustin, Yujie, Wang
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Flexible Parameterization of XOR based Codes for Distributed Storage
2008 Seventh IEEE International Symposium on Network Computing and Applications, 2008Distributed storage systems apply erasure-tolerant codes to guarantee reliable access to data despite failures of storage resources. While many codes can be mapped to XOR operations and efficiently implemented on common microprocessors, only a certain number of codes are usually implemented in a certain system (out of a wide variety of different codes).
Peter Sobe, Kathrin Peter
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Associated code and estimators for a subgrid parameterization for the atmosphere
2020Data and code for simulations using Random Forests as a subgrid parameterization scheme in SAM.
O'Gorman, Paul, Yuval, Janni
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Dynamically parameterized architectures for power-aware video coding: motion estimation and DCT
Proceedings Second International Workshop on Digital and Computational Video, 2002Power-aware video coding requires a combination of high-performance and flexibility to satisfy perceptual quality requirements and meet low-power constraints. This work explores the use of dynamically configurable algorithms and architectures which leverage two fundamental properties of video processing: 1.
Burleson, W, Jain, P, Venkatraman, S
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Parameterization of a single scattering atmospheric correction algorithm using 5S code
International Journal of Remote Sensing, 1994Abstract The aim of this letter is to present a parameterization scheme of a single scattering atmospheric correction algorithm using the Simulation of the Satellite Signal in the Solar Spectrum ( 5S) code. The parameterized version includes the effect of multiple scattering yet it retains its simplest form.
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A GPU/FPGA-Based K-Means Clustering Using a Parameterized Code Generator
2018 Symposium on High Performance Computing Systems (WSCAD), 2018The K-means algorithm is a method used for the unsupervised learning task of data clustering. This work presents a K-means specific domain code generator capable of generating code for GPUs and FPGAs. To increase efficiency, the code is parameterized and specialized for Nvidia GPUs and Intel/Altera CPU-FPGA HARP v.2 platform. Furthermore, the generator
Jeronimo Costa Penha +7 more
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Gray code based gradient-free optimization algorithm for parameterized quantum circuit
Chinese Physics BA Gray code based gradient-free optimization (GCO) algorithm is proposed to update the parameters of parameterized quantum circuits (PQCs) in this work. Each parameter of PQCs is encoded as a binary string, named as a gene, and a genetic-based method is adopted to select the offsprings.
Anqi 安琪 Zhang 张 +2 more
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Modular type-based reverse engineering of parameterized types in Java code
Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, 1999An analysis is provided for Java programs that reverse engineers parameterized types into existing Java code. This analysis propagates precise type information about the contents of container objects. As an application, the analysis can be used to justify the safe removal of downcasts that are guaranteed to succeed.
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A parameterized g-code compiler for scaffolds 3D bioprinting
Bioprinting, 2022José Luis Dávila +8 more
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Rapid Annotation of Non-coding RNA Structures with a Parameterized Filtering Approach
2015An important problem in structural bioinformatics is to search genomes for RNA sequences with known secondary structures. Most of the existing approaches use sequence-structure alignment to evaluate the probability for a sequence segment to be a member of the searched RNA family.
Yinglei Song, Junfeng Qu, Chunmei Liu
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