sound frequency
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2022 ◽  
Vol 8 (1) ◽  
pp. 177-182
Author(s):  
Aisha Azalia ◽  
Desi Ramadhanti ◽  
Hestiana Hestiana ◽  
Heru Kuswanto

In the process of learning physics, experiments are needed that can help someone in gaining a deeper understanding of learning physics concepts and using technology in the learning process, especially learning sound waves. In this study, the aim is to be able to analyze the sound frequency with the help of Audacity software. Subjects used are 5 different cat sounds. The implementation of this research uses several tools such as a microphone, Audacity software on a laptop, and 5 cat sounds. This experiment was carried out by bringing the micro hope closer to the cat with 5 cm so that the sound was captured by the microphone which would later be transferred to the laptop and read by the audacity software. Furthermore, the data recorded in audacity were analyzed. From the results of the study, it can be said that a tool that can be used in practicum and can read and capture sound waves is effectively used in analyzing sound frequency, spectrum in the application of sound learning so that it can be used as one of the learning media in practicum on sound wave material at Junior high school.


Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5519
Author(s):  
Pavel A. Nikitin ◽  
Vasily V. Gerasimov ◽  
Ildus S. Khasanov

The acousto-optic (AO) diffraction of terahertz (THz) radiation in liquefied sulfur hexafluoride (SF6) was investigated in various temperature regimes. It was found that with the increase in the temperature from +10 to +23∘C, the efficiency of the AO diffraction became one order higher at the same amplitude of the driving electrical signal. At the same time, the efficiency of the AO diffraction per 1 W of the sound power as well as the angular bandwidth of the efficient AO interaction were temperature independent within the measurement error. Increase of the resonant sound frequency with decreasing temperature and strong narrowing of the sound frequency bandwidth of the efficient AO interaction were detected.


2021 ◽  
Vol 6 (3) ◽  
pp. 277
Author(s):  
Haris Rosdianto ◽  
Sumarli Sumarli ◽  
Suryati Suryati

Physics learning about sound frequency will be more effective if equipped with practicum activities. This practicum activity can be done by linking it with a cultural because cultural values have the potential to be implemented in physics learning, such as musical instruments for sound frequency. As for the culture used in this research is the Guzheng. This research aims to analyzed  of the Guzheng sound frequency, the comparison of the sound frequency to the prime tones, and the comparison of the sound frequency to the octave tones. The research type that was used is based on laboratory experiment with the aids of Advanced Spectrum Analyzer Pro application which is already installed in the smartphone to measure the sound frequency of 21 strings of Guzheng. The result of the analyzed showed that the longer of string  so the sound frequency produced is the lower. As for of simple linear regression test showed that the sound frequency is linearly distributed to the prime tones and to the octave tones. The result of research can be applied in physics learning by conducting practicum activities and utilizing technology by the Advanced Spectrum Analyzer Pro application to measure the sound frequency both on musical instruments and on other objects that can make a sound.


2021 ◽  
Vol 141 ◽  
pp. 373-382
Author(s):  
Arezoo Keramati ◽  
Farshid Pajoum Shariati ◽  
Omid Tavakoli ◽  
Zahra Akbari ◽  
Mina Rezaei

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1510
Author(s):  
Chih-Hung Jen ◽  
Chien-Chih Wang

Recent developments in network technologies have led to the application of cloud computing and big data analysis to industrial automation. However, the automation of process monitoring still has numerous issues that need to be addressed. Traditionally, offline statistical processes are generally used for process monitoring; thus, problems are often detected too late. This study focused on the construction of an automated process monitoring system based on sound and vibration frequency signals. First, empirical mode decomposition was combined with intrinsic mode functions to construct different sound frequency combinations and differentiate sound frequencies according to anomalies. Then, linear discriminant analysis (LDA) was adopted to classify abnormal and normal sound frequency signals, and a control line was constructed to monitor the sound frequency. In a case study, the proposed method was applied to detect abnormal sounds at high and low frequencies, and a detection accuracy of over 90% was realized. In another case study, the proposed method was applied to analyze electrocardiography signals and was similarly able to identify abnormal situations. Thus, the proposed method can be applied to real-time process monitoring and the detection of abnormalities with high accuracy in various situations.


2021 ◽  
Vol 41 (4) ◽  
pp. 348-355
Author(s):  
Nor Hafiza Qualickuz Zanan ◽  
Mawaddah Azman ◽  
Khairulamir Zainuddin ◽  
Sharifah Ezat Wan Puteh ◽  
Abdullah Sani Mohamed ◽  
...  

Author(s):  
K.O. Olaoye ◽  
A.O. Oluwadare

Abstract Wood is a unique material for making musical instruments and is used to make West African talking drums, whose pitch can be regulated depending upon how the player strikes the head of drum and changes its tension. Additionally, talking drum manufacturers have certain wood preferences, and in the absence of preferred species, they use supposedly unsuitable woods. Therefore, there is a need to examine wood traits in relation to the pitch of a talking drum. This study was designed to determine the existing relationship between selected wood traits and the frequency of talking drums made from A. robusta wood. Three A. robusta trees were obtained from Onigambari Forest Reserve. From each tree, three bolts of 50 cm in length were obtained from the base, middle, and top of the tree to determine selected properties (moisture content (MC), wood basic density (WBD), modulus of elasticity (MOE), modulus of rupture (MOR), and manufacturing of talking drums). A spectrum analyzer was used to analyze the sound frequency of the talking drums at three pitch levels (high, medium, low). A completely randomized block design was used and the data obtained was analyzed using descriptive statistics, ANOVA, and correlation analyses at α 0.05. Sound frequency was not significant along sampling height, but was significant at pitch levels. Additionally, the correlation analysis between wood traits and sound frequency was not significant. Thus, wood cannot be recommended for talking drums’ optimal acoustic performance based on wood traits alone.


2021 ◽  
Author(s):  
Yufei Hu ◽  
Yinjun Jia ◽  
Tuantuan Deng ◽  
Ting Liu ◽  
Wei Zhang

Discrimination for sound frequency is essential for auditory communications in animals. Here, by combining in vivo calcium imaging and behavioral assay, we found that Drosophila larvae can sense a wide range of sound frequency and the behavioral specificity is mediated with the selectivity of the lch5 chordotonal organ neurons to sounds that forms a combinatorial coding of frequency. We also disclosed that Brivido1 (Brv1) and Piezo-like (Pzl), each expresses in a subset of lch5 neurons and mediate hearing sensation to certain frequency ranges. Intriguingly, mouse Piezo2 can rescue pzl-mutant's phenotypes, suggesting a conserved role of the Piezo family proteins in high-frequency hearing.


2021 ◽  
pp. 1564-1571
Author(s):  
Rizki Fitrawan Yuneldi ◽  
Pudji Astuti ◽  
Hendry T. S. Saragih ◽  
Claude Mona Airin

Background and Aim: Pelung chickens make unique, pleasant, and rhythmic sounds in addition to having strong muscle mass. Performance is controlled by testosterone. A natural aromatase blocker is an agent capable of blocking the aromatase enzyme, which consequently prevents testosterone from being changed into estradiol. Such a condition results in consistently high testosterone levels. The aim of this study was to determine the effect of the administration of the shell powder of Anadara granosa on the testosterone level, frequency and quality of sounds, and metabolism of Pelung chickens within set parameters of thyroid hormone levels, the triiodothyronine (T3)/thyroxine (T4) ratio, and weight gain. Materials and Methods: This study used four Pelung chickens aged 14 months. Control data consisted of data before treatment (day 0). Shell powder of A. granosa was administered for 56 days. Body weight (BW) was measured, and blood samples were drawn. In addition, the sounds from Pelung chickens were recorded once every 2 weeks on days 14, 28, 42, and 56. The blood samples were analyzed using the enzyme immunoassay method to determine testosterone, T3, and T4 levels. The sounds of Pelung chickens were recorded using the Hagemon touch method and analyzed using the Audacity application. Results: The results showed a significant difference (p<0.05) in the levels of testosterone, BW, and sound frequency after the administration of A. granosa shell powder, but the administration did not have a significant effect on the levels of T4 and T3 hormones (thyroid hormone), T3/T4 ratio, or sound duration. The testosterone content and BW of Pelung chickens increased from day 14 to day 56, whereas T3 was indicative of the same profile as the T4 hormone. However, T3 and T4 levels and the T3/T4 ratio decreased and increased, respectively. The sound frequency of Pelung chickens increased from day 0 to day 14, although sound duration decreased. Conclusion: The administration of A. granosa shell powder at 0.9 mg/kg BW orally could improve the metabolism, testosterone level, BW, and sound frequency of Pelung chickens.


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