Meta: Avaliacao最新文献

Metamer mismatch volume calculation method based on high-dimensional spherical sampling 基于高维球面采样的Metamer失配体积计算方法

Meta: Avaliacao Pub Date : 2023-08-11 DOI: 10.1117/12.2687942

Kuan Xu, Long Ma, Peng Li

引用次数: 0

Study on spectral adaptive transformation based on chromatic aberration 基于色差的光谱自适应变换研究

Meta: Avaliacao Pub Date : 2023-08-11 DOI: 10.1117/12.2687939

Long Ma, Haitang Chen

{"title":"Study on spectral adaptive transformation based on chromatic aberration","authors":"Long Ma, Haitang Chen","doi":"10.1117/12.2687939","DOIUrl":"https://doi.org/10.1117/12.2687939","url":null,"abstract":"The spectral reflectance of multispectral images can provide more valuable information about object characteristics. In order to improve the utilization of the spectrum, the reflectance reconstruction requires the same system calibration and illumination of the image acquisition. Therefore, Khan proposed the concept of multispectral constancy, which is to transform the multispectral image data into a standard representation through spectral adaptive transformation. Khan used the linear mapping method to solve SAT to convert the multispectral image data obtained under unknown illumination into the image data under standard light source. In order to further improve the spectral utilization rate and expand the application range of multispectral cameras, an algorithm to improve multispectral constancy based on chromatic aberration index is proposed in this paper. The algorithm uses chromatic aberration as the objective function to solve the spectral adaptive transformation. In this paper, ten light sources are used as unknown light sources, SFU and X-rite are used as training and testing datasets, and multispectral camera channels are simulated by Equi-Gaussian and Equi-Energy filters with different number of channels to train and test 5, 6, 8, and 10 channels of data. In this paper, the color difference under different light sources is used as the evaluation index to test the performance of the proposed algorithm, and compared with the Khan method for calculating SAT multispectral constancy. The experimental results show that the spectral constancy algorithm based on color difference can perform better, and expand the application of different kinds of unknown light sources in multispectral constancy.","PeriodicalId":38836,"journal":{"name":"Meta: Avaliacao","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46590887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved color accuracy of the camera using optimized matching illumination method 采用优化匹配光照方法，提高了相机的色彩精度

Meta: Avaliacao Pub Date : 2023-08-11 DOI: 10.1117/12.2687940

Long Ma, Jing Chen

引用次数: 0

Machine vision-based portable track inspection system 基于机器视觉的便携式轨道检测系统

Meta: Avaliacao Pub Date : 2023-08-11 DOI: 10.1117/12.2687936

Qing Li, L. Wei, Xin Qu, Kai Cheng, Yanbo Chang, Houle Zhou

引用次数: 0

Optimization of RGB image spectral reconstruction based on radial basis function networks 基于径向基函数网络的RGB图像光谱重建优化

Meta: Avaliacao Pub Date : 2023-08-11 DOI: 10.1117/12.2687949

Long Ma, Zhipeng Qian

引用次数: 0

Camera spectral sensitivity estimation based on spectrally tunable LED illumination 基于光谱可调LED照明的相机光谱灵敏度估计

Meta: Avaliacao Pub Date : 2023-08-11 DOI: 10.1117/12.2687937

Long Ma, Bowen Xu

引用次数: 0

Pikachu

Meta: Avaliacao Pub Date : 2022-11-07 DOI: 10.1145/3560829.3563563

Sarah Azouvi, M. Vukolic

引用次数: 10

Exascale potholes for HPC: Execution performance and variability analysis of the flagship application code HemeLB 高性能计算的百亿亿级漏洞:旗舰应用程序代码HemeLB的执行性能和可变性分析

Meta: Avaliacao Pub Date : 2020-11-01 DOI: 10.1109/HUSTProtools51951.2020.00014

B. Wylie

{"title":"Exascale potholes for HPC: Execution performance and variability analysis of the flagship application code HemeLB","authors":"B. Wylie","doi":"10.1109/HUSTProtools51951.2020.00014","DOIUrl":"https://doi.org/10.1109/HUSTProtools51951.2020.00014","url":null,"abstract":"Performance measurement and analysis of parallel applications is often challenging, despite many excellent commercial and open-source tools being available. Currently envisaged exascale computer systems exacerbate matters by requiring extremely high scalability to effectively exploit millions of processor cores. Unfortunately, significant application execution performance variability arising from increasingly complex interactions between hardware and system software makes this situation much more difficult for application developers and performance analysts alike. This work considers the performance assessment of the HemeLB exascale flagship application code from the EU HPC Centre of Excellence (CoE) for Computational Biomedicine (CompBioMed) running on the SuperMUC-NG Tier-0 leadership system, using the methodology of the Performance Optimisation and Productivity (POP) CoE. Although 80% scaling efficiency is maintained to over 100,000 MPI processes, disappointing initial performance with more processes and corresponding poor strong scaling was identified to originate from the same few compute nodes in multiple runs, which later system diagnostic checks found had faulty DIMMs and lacklustre performance. Excluding these compute nodes from subsequent runs improved performance of executions with over 300,000 MPI processes by a factor of five, resulting in 190 x speed-up compared to 864 MPI processes. While communication efficiency remains very good up to the largest scale, parallel efficiency is primarily limited by load balance found to be largely due to core-to-core and run-to-run variability from excessive stalls for memory accesses, that affect many HPC systems with Intel Xeon Scalable processors. The POP methodology for this performance diagnosis is demonstrated via a detailed exposition with widely deployed ‘standard’ measurement and analysis tools.","PeriodicalId":38836,"journal":{"name":"Meta: Avaliacao","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75823804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Integrating Science Gateways with Secure Cloud Computing Resources: An Examination of Two Deployment Patterns and Their Requirements 集成科学网关与安全云计算资源:两种部署模式及其需求分析

Meta: Avaliacao Pub Date : 2020-11-01 DOI: 10.1109/HUSTProtools51951.2020.00010

M. Pierce, S. Marru

{"title":"Integrating Science Gateways with Secure Cloud Computing Resources: An Examination of Two Deployment Patterns and Their Requirements","authors":"M. Pierce, S. Marru","doi":"10.1109/HUSTProtools51951.2020.00010","DOIUrl":"https://doi.org/10.1109/HUSTProtools51951.2020.00010","url":null,"abstract":"This paper examines scenarios in which science gateways can facilitate access to cloud computing resources to support scientific research using regulated or protected data stored on clouds. Specifically, we discuss the use of science gateways to access Controlled Unclassified Information (CUI), a US regulatory standard that covers a broad range of US federal government-owned or regulated data, and that also provides a useful proxy for other types of sensitive data, such as private sector intellectual property. We focus on the impact of CUI requirements on science gateway platforms that can be used to create and manage science gateway instances. Gateway platforms are centrally operated by gateway platform providers who create and control gateway instances on behalf of gateway providers. Broadly, platforms operate following either a multi-tenant or else a multi-instance pattern. Multi-tenanted science gateway platforms are designed to support multiple science gateways simultaneously, with each gateway as a tenant to a single operational instance of the platform middleware. Multi-instance platforms, on the other hand, provide and manage an entire instance of the science gateway software for each gateway. This paper reviews these two scenarios from the perspective of the Science Gateways Platform as a service (SciGaP), a multitenanted gateway platform based on the open-source Apache Airavata software. We examine requirements for providing multitenanted platforms for CUI gateways and also the requirements for providing the same software as a multi-instance platform. In both cases, we assume the use of CUI-compatible resources from commercial cloud providers. Both approaches are technically feasible but have trade-offs that must be considered.","PeriodicalId":38836,"journal":{"name":"Meta: Avaliacao","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81986651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

[Title page] (标题页)

Meta: Avaliacao Pub Date : 2020-11-01 DOI: 10.1109/hustprotools51951.2020.00001

引用次数: 0