GRDC: a Collaborative Framework for Radiological Background and Contextual Data Analysis: Project: LB11-SAM Feasibility Study-PD3SJ
GRDC: a Collaborative Framework for Radiological Background and Contextual Data Analysis: Project: LB11-SAM Feasibility Study-PD3SJ
复制标题
GRDC：放射学背景和背景数据分析的协作框架：项目：LB11-SAM 可行性研究-PD3SJ
DOI：
10.2172/1235086
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
M. Bandstra
中科院分区：
文献类型：
--
作者：
B. Quiter;L. Ramakrishnan;M. Bandstra
作者(S)：Quiter，Brian，J；Ramakrishnan，Lavanya；Bandstra，Mark，S|摘要：辐射移动分析平台(RADMAP)的独特之处在于，它能够收集来自伽马射线探测器和快中子探测器的高质量辐射数据，以及广泛的背景数据，包括位置和姿态数据、来自天气传感器、激光雷达以及视觉和高光谱相机的高分辨率3D辐射数据。从RadMAP获得的数据集既庞大又复杂，需要从国家实验室和学术界内高度不同的社区进行分析。保持高透明度将使分析产品能够进一步丰富RadMAP数据集。正是本着开放和协作的数据精神，RadMAP团队提议从RadMAP系统收集、校准和提供在线数据。伯克利数据云(Berkeley Data Cloud，BDC)是一个基于云的数据管理框架，可实现基于Web的数据浏览可视化，并将经过管理的数据集连接到定制工作流，以便在维护用户访问权限的同时管理和分发分析产品。BDC能够以模拟实时数据收集的方式对大型数据集进行基于云的分析，从而可以使用BDC在真实数据集和源注入数据集上测试算法性能。利用BDC框架，RadMAP数据集的一个子集通过由国家能源研究科学计算(NERSC)中心托管的伽马射线数据云(GRDC)传播，使10个机构的40多名用户能够访问数据。
Author(s): Quiter, Brian, J; Ramakrishnan, Lavanya; Bandstra, Mark, S | Abstract: The Radiation Mobile Analysis Platform (RadMAP) is unique in its capability to collect both high quality radiological data from both gamma-ray detectors and fast neutron detectors and a broad array of contextual data that includes positioning and stance data, high-resolution 3D radiological data from weather sensors, LiDAR, and visual and hyperspectral cameras. The datasets obtained from RadMAP are both voluminous and complex and require analyses from highly diverse communities within both the national laboratory and academic communities. Maintaining a high level of transparency will enable analysis products to further enrich the RadMAP dataset. It is in this spirit of open and collaborative data that the RadMAP team proposed to collect, calibrate, and make available online data from the RadMAP system. The Berkeley Data Cloud (BDC) is a cloud-based data management framework that enables web-based data browsing visualization, and connects curated datasets to custom workflows such that analysis products can be managed and disseminated while maintaining user access rights. BDC enables cloud-based analyses of large datasets in a manner that simulates real-time data collection, such that BDC can be used to test algorithm performance on real and source-injected datasets. Using the BDC framework, a subset of the RadMAP datasets have been disseminated via the Gamma Ray Data Cloud (GRDC) that is hosted through the National Energy Research Science Computing (NERSC) Center, enabling data access to over 40 users at 10 institutions.