Primary colour

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Primary colour

机译：原色

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"I cannot part the Red Sea, but I believe I can part the red tape." Mike Huckabee, a Baptist minister, replying to a question on government spending during a Republican presidential debate in Iowa, December 12th. "Oh my God, no. Really?" A Joe Lieberman staffer upon learning that Mr Lieberman, a Democrat-turned-independent, is endorsing John McCain (a Republican) for president. CNN.com, December 17th.

机译：“我不能分开红海，但我相信我可以分开繁文tape节。” 12月12日，在爱荷华州举行的共和党总统辩论中，浸信会部长Mike Huckabee回答了有关政府支出的问题。 “哦，天哪，不是。真的吗？”乔·利伯曼（Joe Lieberman）的一名工作人员得知利伯曼（Lieberman）成为民主党人后已独立，正支持约翰·麦凯恩（共和党）担任总统。 CNN.com，12月17日。

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《The economist》 |2007年第8560期|p.70|共1页
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中图分类经济;各科经济学;
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1. A method for optimising settings of colour primaries for wide colour gamut displays [J] . Rui Gong, Xiandou Zhang, Xuan Li, Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic . 2018,第期

机译：一种优化宽色域显示彩色原初级设置的方法
2. A disorder of colour perception associated with abnormal colour after-images: a defect of the primary visual cortex. [J] . Chan D, Crutch SJ, Warrington EK Journal of Neurology, Neurosurgery and Psychiatry . 2001,第4期

机译：与异常彩色余像相关的色彩感知障碍：主要视觉皮层的缺陷。
3. The impact of the primary colours yellow, red and, blue on the perception of greenery [J] . Thorpert Petra, Englund Jan-Eric, Nielsen Anders Busse Landscape research . 2019,第1期

机译：黄色，红色和蓝色的原色对绿化感的影响
4. KANSEI EVALUATION OF COLOUR IMAGES IN VARIOUS COLOUR GAMUTS USING DIFFERENT RED PRIMARIES [C] . Ayama M., Inuzuka Y., Kageyama S., CIE "Topical Conference on Smart Lighting" . 2018

机译：使用不同的红色初学者在各种颜色曲目中的彩色图像评估彩色图像
5. Synesthesia - The Art of Seeing QCD Colour: A Measurement of Colour Flow in Top-Quark Pair Events [D] . Wilk, Fabian 2018

机译：联觉-观察QCD颜色的艺术：夸克对事件中色流的测量
6. Colour Coding Navigation: Triage Techniques to Improve Compliance in Breast Cancer Patients Requiring Primary Chemotherapy [O] . Carol Ann Benn, Yastira Ramdas, Barend van den Bergh, 2020

机译：彩色编码导航：分类技术以提高患乳腺癌患者的依从性需要初级化疗
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

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