SYSTEMS AND METHODS FOR AUTOMATED PROCESSING AND ANALYSIS OF DEDUCTION BACKUP DATA

• 1. 一种发动机台架数据的自动处理和分析系统及其方法 [P] . 中国专利： CN110688625A . 2020-01-14
• 2. 用于准备用于搜索数据库的系统的方法以及用于执行向所连接的数据源的查询的系统和方法 [P] . 中国专利： CN105723366B . 2020.05.19
• 3. Method and system for collecting solicitau00c7u00d5es of atualizau00c7u00e7o of user with relau00c7u00e7o the spatial data to support analysis, processing and atualizau00c7u00d5es spatial data, automated [P] . BRPI0712821A2 . 2012-07-24

  机译： 收集用户空间信息的空间和数据以支持分析，处理和空间信息的方法和系统，自动化

• 4. METHOD AND SYSTEM FOR COLLECTING USER UPDATE REQUESTS REGARDING GEOGRAPHIC DATA TO SUPPORT AUTOMATED ANALYSIS, PROCESSING AND GEOGRAPHIC DATA UPDATES [P] . 韩国专利： KR20090024148A . 2009-03-06

  机译： 收集关于地理数据的用户更新请求以支持自动分析，处理和地理数据更新的方法和系统

• 5. METHOD AND SYSTEM FOR COLLECTING USER UPDATE REQUESTS REGARDING GEOGRAPHIC DATA TO SUPPORT AUTOMATED ANALYSIS, PROCESSING AND GEOGRAPHIC DATA UPDATES [P] . 欧洲知识产权局专利： EP2035777A2 . 2009-03-18

  机译： 收集关于地理数据的用户更新请求以支持自动分析，处理和地理数据更新的方法和系统

• 1. EST Pipeline System: Detailed and Automated EST Data Processing and Mining [J] . Hao Xu, Liang Zhang, Hong Yu, 基因组蛋白质组与生物信息学报（英文版） . 2003,第003期
• 2. Methods of Data Processing for Trace Elements Analysis Using Laser Induced Breakdown Spectroscopy [J] . WANG Rui, MA Xiaohong, YU Qi, 等离子体科学和技术（英文版） . 2015,第011期
• 3. CCD Automated Polariscope System and the Stress Analysis Methods [J] . 安里千 应用数学和力学：英文版 . 1994,第004期
• 4. Parallel analysis of polymorphic viral code using automated deduction system [C] . Ando, Ruo . 2007
• 5. A Software Architectural Design for Automated Data Processing in Data-Intensive Software Systems [D] . Hakeem, Mazin . 2019
• 6. A detailed comparison of analysis processes for MCC-IMS data in disease classification—Automated methods can replace manual peak annotations [O] . Salome Horsch, Dominik Kopczynski, Elias Kuthe, 2011
• 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
• 8. Automated Data Systems (ADS) Management Methodology. Vol. II. Automated Data Systems Project Evaluation Methodology. [R] . Harvey, D. L., Keen, T. M., Means, E. H., 1977

• 1. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
• 2. Matching Accuracy Analysis of Fingerprint Templates Generated by Data Processing Method Using the Fractional Fourier Transform [J] . Reiko Iwai ,Hiroyuki Yoshimura . 通讯、网络与系统学国际期刊（英文） . 2011,第1期
• 3. 变压器端降压节能设备用于城域路灯系统的分析 [C] . 李凯 ,牛振西 . 节能照明控制与LED技术学术论坛 . 2010
• 4. 大学基础类课程实验数据自动处理分析系统 [A] . 姚远 . 2008