Acoustical Frequency Spectrum Method to Predict Moisture Content in Soybean

2001 ◽  
Author(s):  
Laura Luz ◽  
S.D. Filip To
Keyword(s):  
Moisture Content ◽  
Frequency Spectrum ◽  
Spectrum Method

Impedance-Frequency Spectrum and Soft/Hard Doping Characteristics of Lead-Free K0.5Na0.5NbO3-LiSbO3-BiMnO3 Piezoelectric Ceramics

2012 ◽  
Vol 512-515 ◽  
pp. 1376-1379
Author(s):  
Min Hong Jiang ◽  
Xin Yu Liu ◽  
Guo Hua Chen ◽  
Jia Feng Ma
Keyword(s):  
Frequency Spectrum ◽  
Piezoelectric Ceramics ◽  
Lead Free ◽  
Ceramic Processing ◽  
Co Doping ◽  
Spectrum Method

K0.5Na0.5NbO3-LiSbO3-BiMnO3 (KNN-LS-BM) lead-free piezoelectric ceramics were prepared by the traditional ceramic processing. The “soft” and “hard” doping characteristics of the ceramics were studied by the impedance-frequency spectrum method. Results show that the single 0.4at.% BM-doping KNN ceramics show “hard” characteristics because the top shape of profile θ-f the ceramics is almost rectangular, while the single LS-doping KNN ceramics shows “soft” characteristics because of the top shape of round. The LS and BM co-doping make KNN ceramics to show “soft” and “hard” doping characteristics at the same time. Because the soft doping of LS in KNN is more preponderant than that of BM, the co-doping KNN ceramics show “soft” doping characteristics as a whole.

McSwan: A joint site frequency spectrum method to detect and date selective sweeps across multiple population genomes

2018 ◽  
Vol 19 (1) ◽  
pp. 283-295 ◽  
Author(s):  
Rémi Tournebize ◽  
Valérie Poncet ◽  
Mattias Jakobsson ◽  
Yves Vigouroux ◽  
Stéphanie Manel
Keyword(s):  
Frequency Spectrum ◽  
Selective Sweeps ◽  
Spectrum Method ◽  
Site Frequency Spectrum ◽  
Multiple Population

Digital image frequency spectrum method for analyzing speckle displacement in frequency domain

2015 ◽  
Vol 40 (6) ◽  
pp. 942 ◽  
Author(s):  
Hui Ge ◽  
Yuming He ◽  
Lei Shen ◽  
Dabiao Liu ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Frequency Spectrum ◽  
Digital Image ◽  
Spectrum Method ◽  
Image Frequency

scholarly journals Analisa pengaruh sakit tenggorokan terhadap perubahan spektrum suara

2017 ◽  
Vol 1 (1) ◽  
pp. 38
Author(s):  
Sutono Sutono ◽  
Hendra Setiawan ◽  
Yusuf Aziz Amrullah
Keyword(s):  
Nasal Cavity ◽  
Sore Throat ◽  
Mean Square Error ◽  
Frequency Spectrum ◽  
Fourier Transformation ◽  
Mean Square ◽  
Vocal Cords ◽  
Human Voice ◽  
Spectrum Method ◽  
The Voice

ABSTRACTBackground: Voice is a kind of sound produced by friction or vibration of objects. In humans vocal cords in throat are used to produce voice and the produced voice may have different frequency. Human voice in a kind of a sound created by several organ, such as lungs, laryngs, pharynx, nasal cavity, moulth cavity, moulth and tongue. The existence  of those organs will inluance the produced voice. Pharingitis is one of upper channel infection. Objective: To condact a analysis on the human voice because of sore throat, get a list of alphabeth that experience the biggest caused by sore throat, and to recognise the possibility of throat disorder seen by the analysis of frequency spectrum. Method: The research is conducted  by comparing the voice result post paryngistis and after being recoved. The research uses fourier transformation to compare the produced pattern by using MSE ( Mean Square Error). The researcher tested 7 respondents. Result: The result shows that there is influence towards the resulted voice. The Alphabeths that experiances the biggest disorder are A (MSE:0,094677), M (MSE:0,072883), L (MSE:0,095975), Z (MSE:0,07552), X (MSE:0,07602) dan K (MSE:0,119209), it can be concluded that each respondent has different alphabeth disorder. 

Lathing Processing Dosage Trends Identifying Based on Current Signal

2012 ◽  
Vol 201-202 ◽  
pp. 1186-1189
Author(s):  
Teng Fei Fang ◽  
Guo Fu Li ◽  
Ming Teng He ◽  
Xiang Bo Ma
Keyword(s):  
Frequency Spectrum ◽  
Frequency Distribution ◽  
Processing Time ◽  
Signal Frequency ◽  
Current Signal ◽  
Cutting Depth ◽  
Spectrum Method ◽  
Cut Depth ◽  
Processing Factors

It is extremely meaningful to identify the processing dosage which directly influence the processing time, quality and other processing factors. In order to obtain the trend of lathing processing dosage, ordinary horizontal lathe was researched using the power signal frequency spectrum method, through the frequency distribution and the differences of amplitude, the trends of lathing processing dosage was identified. The collected current signal was turned into power signal first, when the cut depth is large, it is able to identify the trends of processing dosage through the fluctuations of the power signal, but when the cutting depth is small, compared to the power signal of idling state, there is not obvious difference to distinguish them. In this case, the frequency distribution and the differences of amplitude of the power signal were introduced.

Sign in / Sign up

Export Citation Format

Share Document