apparatus for the digitisation of paper forms of payment and banking terminal remote acquiring this equipment

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  机译： 遥控终端，信息获取设备，信息提供设备，信息提供系统，信息提供方法和程序

• 4. Remote control terminal, information acquiring apparatus, information providing apparatus, information providing system, information providing method, and program [P] . 欧洲知识产权局专利： EP2059034A2 . 2009-05-13

  机译： 遥控终端，信息获取设备，信息提供设备，信息提供系统，信息提供方法和程序

• 5. Remote control terminal, information acquiring apparatus, information providing apparatus, information providing system, information providing method, and program [P] . 欧洲知识产权局专利： EP2059034A3 . 2009-06-03

  机译： 遥控终端，信息获取设备，信息提供设备，信息提供系统，信息提供方法和程序

• 1. Data Resource Management Platform of Paper-making Mill Equipment Operation based on Hadoop [J] . PANG Qian, YU Zhongqing, WANG Haiya 国际设备工程与管理（英文版） . 2019,第001期
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• 4. Dataset for electronic payment performance in Nigerian banking system: A trend analysis from 2012 to 2017 [O] . Oludare Samuel Fadoju, Grace Evbuomwan, Felicia Olokoyo, 2018
• 5. 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

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