Data Analysis Based on the Processing Method of Displaying Reduced-Layer Dust Handprints

2021 ◽  
pp. 135-143
Author(s):  
Xinhua Lv ◽  
Shengjiang Wang
2015 ◽  
Author(s):  
Kimberly M. Fowler ◽  
Alison H. A. Colotelo ◽  
Janelle L. Downs ◽  
Kenneth D. Ham ◽  
Jordan W. Henderson ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhen Guo ◽  
Tao Zou

With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.


2013 ◽  
Vol 339 ◽  
pp. 457-461
Author(s):  
Hua Li ◽  
Da Xu ◽  
Jian Zhang ◽  
Meng Chun Zhong

Aimed at the noise of PSD (position sensitive detector) system signal,In view of the PSD system signal characteristic, the wavelet way is provided for filtering and de-noising to improve system precision. Suitable wavelet processing method db10 is selected, The simulation results indicate that the algorithm can be a better way to filtering and de-noising.


2013 ◽  
Vol 470 ◽  
pp. 387-391
Author(s):  
Fang Bai ◽  
Wen Li Jin ◽  
Yun Ji

Discrete military manufacturing industry is analyzed about the characteristics of the product design, processing, manufacturing in this paper, it also discusses the application problem of process management in discrete military manufacturing industry,and has a discussion contrapose on the small sample ,discrete data analysis,the multi-target fusion analysis and processing,the qualitative problems processing method,in order to improve the feasibility and adaptability of "six sigma" in discrete military manufacturing industry.


2011 ◽  
Vol 86 ◽  
pp. 875-878 ◽  
Author(s):  
Zhi Fei Wu ◽  
Tie Wang ◽  
Rui Liang Zhang ◽  
Hong Mei Li

This paper introduces the installment method of experimental machine and gears, and the definition of stress levels, based on the contact fatigue experiment of 18Cr2Ni4WA carburizing and quenching gears, the few experimental points combination method was applied. The experimental points data was obtained by failure criteria. The S-N curve is fitted according to experiment data, and the experimental points data processing method is also explained in the paper.


2021 ◽  
Vol 13 (1) ◽  
pp. 31-35
Author(s):  
Wargijono Utomo

The coronavirus spreads quickly through human-to-human transmission via close contact and respiratory droplets such as coughing or sneezing. Various studies have been carried out to deal with Covid-19. However, the cure for this virus has not been found until now. Based on data from the covid19.go.id page retrieved on January 1st, 2021, which was updated by the Ministry of Health, the overall number of confirmed cases was 1,078,314 active cases reaching 175,095 or 16.2% of confirmed cases, recovered 873,221 or 81.0% of confirmed cases, and death 29,998 or 2.8% of the confirmed cases. This study compares the two algorithms of data groups to analyze clustering patterns to determine the best data processing method. The data in this study sourced from the Ministry of Health, contained 4 attributes, including confirmed cases, treatment, recovery, and death cases. In this study, only 2 attributes were used: the confirmed and death cases. From the data analysis and processing results through a comparison between the K-Means method and the K-Medoids for clustering the spread of the coronavirus in Indonesia, a conclusion is derived. With the Davies Boulden index value from K2 to K9 values, it turns out that the K-Means method gets the smallest value at the K-5 of 0.064, while K-Medoids at the k-2 value of 0.411. Thus, from the two methods used, it can be concluded that the best method for clustering the spread of the coronavirus outbreaks in Indonesia is the K-Means method.


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