scholarly journals Variable Cyclical Fluctuation Analysis of Pork by Grade

2020 ◽  
Vol 56 (3) ◽  
pp. 117-123
Author(s):  
Li Wan
2013 ◽  
Vol 312 ◽  
pp. 450-454
Author(s):  
Yan Mei Liang ◽  
Chang Xian Cheng ◽  
Zhao Xia Wang

With the gradually maturing super-speed inkjet printing technology, people are pursuing steadier and higher speed as well as better quality presswork for the sake of increasing economic benefit. To provide an overview of the velocity fluctuation of the inkjet machine platform and the cyclical fluctuation of the incremental encoder, external clock and corresponding internal clock were applied separately to print the equally spaced lines under the same platform speed. Then a magnifier was used to measure distance between the lines, according to which the velocity fluctuation mentioned above can be obtained. Thus conclusion can be drawn from the fluctuation analysis that the velocity cycle of platform is 60mm, however, number of those produced by the incremental encoder is up to 3, including 60mm influenced by the platform, 300mm produced by the perimeter of encoders pressure wheel and 600mm produced by the circumference of dance roller. Furthermore, dance roller contributes more influence on narrow coated paper. Through this research, inkjet technician can do directional compensation for every factors to reduce the fluctuation.


1989 ◽  
Author(s):  
Vladimir Marecek ◽  
Miklos Gratzl ◽  
Angras Pungor ◽  
Jiri Janata

Fractals ◽  
2020 ◽  
Vol 28 (02) ◽  
pp. 2050050
Author(s):  
V. E. ARCE-GUEVARA ◽  
M. O. MENDEZ ◽  
J. S. MURGUÍA ◽  
A. ALBA ◽  
H. GONZÁLEZ-AGUILAR ◽  
...  

In this work, the scaling behavior of the sleep process is evaluated by using detrended fluctuation analysis based on wavelets. The analysis is carried out from arrivals of short and recurrent cortical events called A-phases, which in turn build up the Cyclic Alternating Pattern phenomenon, and are classified in three types: A1, A2 and A3. In this study, 61 sleep recordings corresponding to healthy, nocturnal frontal lobe epilepsy patients and sleep-state misperception subjects, were analyzed. From the A-phase annotations, the onsets were extracted and a binary sequence with one second resolution was generated. An item in the sequence has a value of one if an A-phase onset occurs in the corresponding window, and a value of zero otherwise. In addition, we consider other different temporal resolutions from 2[Formula: see text]s to 256[Formula: see text]s. Furthermore, the same analysis was carried out for sequences obtained from the different types of A-phases and their combinations. The results of the numerical analysis showed a relationship between the time resolutions and the scaling exponents; specifically, for higher time resolutions a white noise behavior is observed, whereas for lower time resolutions a behavior towards to [Formula: see text]-noise is exhibited. Statistical differences among groups were observed by applying various wavelet functions from the Daubechies family and choosing the appropriate sequence of A-phase onsets. This scaling analysis allows the characterization of the free-scale dynamic of the sleep process that is specific for each sleep condition. The scaling exponent could be useful as a diagnosis parameter in clinics when sleep macrostructure does not offer enough information.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ziyou Zhou ◽  
Can Wu ◽  
Zhen Hu ◽  
Yujuan Chai ◽  
Kai Chen ◽  
...  

AbstractIt has been known that short-time auditory stimulation can contribute to the improvement of the balancing ability of the human body. The present study aims to explore the effects of white Gaussian noise (WGN) of different intensities and frequencies on dynamic balance performance in healthy young adults. A total of 20 healthy young participants were asked to stand at a dynamic balance force platform, which swung along the x-axis with an amplitude of ± 4° and frequency of 1 Hz. Their center of pressure (COP) trajectories were recorded when they were stimulated by WGN of different intensities (block 1) and different frequencies (block 2). A traditional method and detrended fluctuation analysis (DFA) were used for data preprocessing. The authors found that only with 75–85 dB WGN, the COP parameters improved. WGN frequency did not affect the dynamic balance performance of all the participants. The DFA results indicated stimulation with 75 dB WGN enhanced the short-term index and reduced the crossover point. Stimulation with 500 Hz and 2500 Hz WGN significantly enhanced the short-term index. These results suggest that 75 dB WGN and 500 Hz and 2500 Hz WGN improved the participants’ dynamic balance performance. The results of this study indicate that a certain intensity of WGN is indispensable to achieve a remarkable improvement in dynamic balance. The DFA results suggest that WGN only affected the short-term persistence, indicating the potential of WGN being considered as an adjuvant therapy in low-speed rehabilitation training.


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