method for ensuring a correct dynamic planning group lavante of a car washer and car for the implementation

• 1. 用于确保流体处理系统的正确管道安装的系统和方法 [P] . 中国专利： CN106466495B . 2021.10.22
• 2. 一种确保NAND FLASH中序列号和MAC地址存储正确的方法 [P] . 中国专利： CN113311988A . 2021-08-27
• 3. method for ensuring a correct dynamic planning group lavante of a car washer and car for the implementation [P] . ITPN970030A1 . 1998-11-23

  机译： 确保正确的洗车机动态规划组薰衣草的方法和实施的汽车

• 4. method for making an active damping of vibrations to the group lavante and car washing machine to implement the [P] . IT1294130B1 . 1999-03-22

  机译： 一种有效阻尼薰衣草组振动的方法和洗车机，以实现

• 5. method for making an active damping of vibrations to the group lavante and car washing machine to implement the [P] . ITPN970029A1 . 1998-11-16

  机译： 一种有效阻尼薰衣草组振动的方法和洗车机，以实现

• 1. Methodology of Care Humanitude Implementation at an Integrated Continuing Care Unit: Benefits for the Individuals Receiving Care [J] . Liliana Henriques, Marília Dourado, Rosa Melo, 护理学期刊（英文） . 2020,第010期
• 2. Integration of the Coupled Orbit-Attitude Dynamics Using Modified Chebyshev-Picard Iteration Methods [J] . Xiaoli Bai, John L.Junkins 工程与科学中的计算机建模(英文) . 2016,第002期
• 3. A MONTE CARLO IMPLEMENTATION OF THE PREDICTOR-CORRECTOR QUASI-STATIC METHOD [C] . Michael W. Hackemack, Jean C. Ragusa, David P. Griesheimer, International conference on mathematics and computational methods applied to nuclear science and engineering . 2013
• 4. Ensuring Patient Privacy and Accuracy of Analytical Methods to Support Evidence-Based Healthcare [D] . Bergquist, Timothy R. 2021
• 5. Computer Applications in Medical Care. Computer Systems in Hospitals. Hospital Information Systems: Planning Evaluation and Implementation: An Information Services Planning Methodology for an Academic Health Center [O] . Walter R. Menning, Francine L. Williams, Daniel C. Morris 1983
• 6. 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

• 1. Research on Test Method for Dynamics Performance of Rapid Freight Cars on Track（To Be Continued） [J] . LIU Hongyou . 铁道车辆 . 2017,第11期
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• 5. 汽车漂移的临界稳定性控制与自适应动态规划方法 [A] . 赵嘉琦 . 2020