TEST DATA ANALYZING SYSTEM AND TEST DATA ANALYZING METHOD

• 1. 一种航天器动力学试验数据分析系统 [P] . 中国专利： CN111595542A . 2020-08-28
• 2. 一种太阳能产品试验数据分析系统 [P] . 中国专利： CN110019473A . 2019-07-16
• 3. Test data analyzing system and test data analyzing program [P] . 美国专利： US7424336B2 . 2008-09-09

  机译： 测试数据分析系统和测试数据分析程序

• 4. Test data analyzing system and test data analyzing program [P] . 美国专利： US2007021855A1 . 2007-01-25

  机译： 测试数据分析系统和测试数据分析程序

• 5. Method for Analyzing Flutter Test Data And Computer-Readable Medium on Which Program Analyzing Flutter Test Data Is Recorded [P] . 韩国专利： KR101234136B1 . 2013-02-19

  机译： 颤振测试数据的分析方法和记录颤振测试数据的程序的计算机可读介质

• 1. A Method and Tool for Analyzing Usability Testing Data in the Business Sector [C] . Panagiotis Germanakos, Ludwig Fichte IFIP TC 13 International Conference on Human-Computer Interaction . 2019
• 2. Comparison of the Methods for Analyzing Rate and Pressure Transient Test Data from Hydraulically Fractured Unconventional Reservoirs [D] . Batur, Ela 2018
• 3. Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests [O] . Lisha Yu, Yang Zhao, Hailiang Wang, 2021
• 4. 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
• 5. Development of Standard Methods of Testing and Analyzing Fatigue Crack Growth Rate Data. [R] . hudak, s. j. jr saxena, a. 1978

• 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. A Comparison of Statistical Methods for Analyzing Discrete Hierarchical Data: A Case Study of Family Data on Alcohol Abuse [J] . Yuanyuan Liang ,Keumhee Chough Carriere . 统计学期刊（英文） . 2013,第4期
• 3. Analyzing Effect of Demand Rate on Safety of Systems with Periodic Proof-tests [J] . Manoj Kumar ,A.K.Verma ,A.Srividya . 国际自动化与计算杂志：英文版 . 2007,第4期
• 4. Data Consistency Tests through the Use of Neural Networks and Virial Equation. Application of the Proposed Methodology to Critical Study of Density Data [J] . Abdeslam Hassen Meniai ,Serge Laugier ,Hakim Madani . 物理化学期刊（英文） . 2011,第3期
• 5. MODIS BRIGHTNESS TEMPERATURE DATA ASSIMILATION UNDER CLOUDY CONDITIONS: METHODS AND IDEAL TESTS [J] . 丁伟钰 ,万齐林 ,张诚忠 . 热带气象学报：英文版 . 2010,第4期
• 6. 一种自控自航船模试验数据分析系统及其应用 [C] . 范凯 ,杨松林 ,王勇 . 2008年船舶水动力学学术会议暨中国船舶学术界进入ITTC30周年纪念会 . 2008
• 7. 汽车减震器试验任务排程与试验数据分析系统研发 [A] . 景新 . 2020