Redundant-controller data storage system having an on-line controller removal system and method

• 1. 数据处理方法、独立硬盘冗余阵列控制器和数据存储系统 [P] . 中国专利： CN111625181A . 2020-09-04
• 2. 控制器和具有该控制器的数据存储系统 [P] . 中国专利： CN112732170A . 2021-04-30
• 3. Redundant-controller data storage system having an on-line controller removal system and method [P] . 英国专利： GB2375632A . 2002-11-20

  机译： 具有在线控制器移除系统和方法的冗余控制器数据存储系统

• 4. Redundant-controller data storage system having anon-line controller removal system and method [P] . 英国专利： GB2375632A8 . 2002-11-20

  机译： 具有在线控制器移除系统的冗余控制器数据存储系统和方法

• 5. Redundant controller data storage system having an on-line controller removal system and method [P] . 英国专利： GB2375632B . 2005-03-23

  机译： 具有在线控制器移除系统和方法的冗余控制器数据存储系统

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• 2. Analysis and Application of the Synthetic Relative Measuring Method in On-Line Monitoring for Capacitive Equipment in Power Systems [J] . Qing Guo, Li-Jun Qin, Hua-Wei Jin 电子科技学刊：英文版 . 2011,第003期
• 3. Analysis and Application of the Synthetic Relative Measuring Method in On-Line Monitoring for Capacitive Equipment in Power Systems [J] . Qing Guo, Li-Jun Qin, Hua-Wei Jin 电子科学学刊（英文版） . 2011,第003期
• 4. Data Mining Methods Application for Increasing the Data Storage Systems Fault-Tolerance [C] . Nataliia Kuznietsova, Maryna Kuznietsova IEEE International Conference on System Analysis and Intelligent Computing . 2020
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• 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

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