Data quality - more important than ever in the Internet age

David R. Lide

首页> 外文期刊>Data science journal >Data quality - more important than ever in the Internet age

【24h】

Data quality - more important than ever in the Internet age

机译：数据质量-在互联网时代比以往任何时候都更加重要

获取原文

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

著录项
相似文献
相关主题

著录项

来源
《Data science journal》 |2007年第2007期|共页
作者
David R. Lide;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种
中图分类自动化技术、计算机技术;
关键词

相似文献

外文文献
中文文献
专利

1. QDaS: Quality driven data summarisation for effective storage management in Internet of Things [J] . Liono Jonathan, Jayaraman Prem Prakash, Qin A. K., Journal of Parallel and Distributed Computing . 2019,第MAY期

机译：QDaS：质量驱动的数据汇总，可在物联网中进行有效的存储管理
2. Internet of things sensor assisted security and quality analysis for health care data sets using artificial intelligent based heuristic health management system [J] . Measurement . 2020,第期

机译：事物互联网传感器使用人工智能的启发式健康管理系统辅助保健数据集的安全和质量分析
3. A model-driven framework for data quality management in the Internet of Things [J] . Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime, Journal of ambient intelligence and humanized computing . 2018,第4期

机译：物联网中数据驱动的模型驱动框架
4. Integration of Water Quality Data Sets from Multiple Data Management and Acquisition Systems for Display on the Internet Utilizing an Geographical Information System Application [C] . Daniel R. Quintanar Your bridge to the future . 2002

机译：利用地理信息系统应用程序集成来自多个数据管理和采集系统的水质数据集，以在互联网上显示
5. A gender study of Internet web browsing: Internet usage surveys compared to actual router data logs [D] . Chalmers, Kenneth W. 2008

机译：互联网Web浏览的性别研究：互联网使用情况调查与实际路由器数据日志的比较
6. The impact of Internet-based specific activities on the perceptions of Internet addiction quality of life and excessive usage: A cross-sectional study [O] . Halley M. Pontes, Attila Szabo, Mark D. Griffiths 2015

机译：基于互联网的特定活动对互联网成瘾生活质量和过度使用的观念的影响：一项横断面研究
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

Data quality - more important than ever in the Internet age

著录项

相似文献

相关主题

期刊订阅