Capturing, Harmonizing and Delivering Data and Quality Provenance

机译：捕获，协调和提供数据和质量来源

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Satellite remote sensing data have proven to be vital for various scientific and applications needs. However, the usability of these data depends not only on the data values but also on the ability of data users to assess and understand the quality of these data for various applications and for comparison or inter-usage of data from different sensors and models. In this paper, we describe some aspects of capturing, harmonizing and delivering this information to users in the framework of distributed web-based data tools.

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Leptoukh, G.; Lynnes, C.;
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年度 2011
页码 1-4
总页数 4
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Data systems ; Quality ; Data management ; Information resources management ; Documentation ; Data products ; Data processing ; Satellite imagery ; Data integration ; Data retrieval ; Remote sensing;

机译：数据系统;质量;数据管理;信息资源管理;文件;数据产品;数据处理;卫星图像;数据集成;数据检索;遥感;

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专利

1. Promoting the capture of sensor data provenance: a role-based approach to enable data quality assessment, sensor management and interoperability [J] . Janet Fredericks, Mike Botts Open Geospatial Data, Software and Standards . 2018,第1期

机译：促进捕获传感器数据源：基于角色的方法可实现数据质量评估，传感器管理和互操作性
2. Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R [J] . Carsten Oliver Schmidt, Stephan Struckmann, Cornelia Enzenbach, BMC Medical Research Methodology . 2021,第1期

机译：促进统一的数据质量评估。具有r的软件实现的观测健康研究数据收集的数据质量框架
3. Evaluation of a mandatory quality assurance data capture in anesthesia: a secure electronic system to capture quality assurance information linked to an automated anesthesia record. [J] . Peterfreund RA, Driscoll WD, Walsh JL, Anesthesia and Analgesia: Journal of the International Anesthesia Research Society . 2011,第5期

机译：评估麻醉中强制性质量保证数据的评估：一种安全的电子系统，用于捕获与自动麻醉记录相关的质量保证信息。
4. Capturing Quality: Retaining Provenance for Curated Volunteer Monitoring Data [C] . S. Andrew Sheppard, Andrea Wiggins, Loren Terveen ACM Conference on Computer Supported Cooperative Work Social Computing . 2014

机译：捕获质量：保留策划志愿者监控数据的出处
5. Provenance-aware framework for lightweight capture and high quality data regeneration. [D] . Ghoshal, Devarshi. 2014

机译：起源感知框架，用于轻量级捕获和高质量数据再生。
6. Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R [O] . Carsten Oliver Schmidt, Stephan Struckmann, Cornelia Enzenbach, 2021

机译：促进统一的数据质量评估。具有r的软件实现的观测健康研究数据收集的数据质量框架
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Capturing, Harmonizing and Delivering Data and Quality Provenance

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