Acoustic Signal for Femtosecond Filament Plasma Grating Characterization in Air

When repairing and replacing electrical wiring in enterprises, the main difficulty is the lack or poor quality of documentation, plans for conductors laying. Distinguishing wires (cables) and their cores by the color of the shells or using tags attached to the ends is difficult if the shells have the same color and there are no tags. Devices and technical solutions used to identify wires and cables do not allow recognizing conductors without breaking the electrical circuit, removing insulation, and de-energizing the network. Searching for the right conductor is a time-consuming operation. (Research purpose) The research purpose is developing a new microcontroller device for identifying wires using an acoustic signal. (Materials and methods) Literature sources has been searched for devices for conductors identifying. (Results and discussion) The article proposes a method that involves feeding an acoustic signal to a wire at one point and capturing it at another, in order to recognize the desired wire. The article presents results of comparison of the developed microcontroller device for identifying conductors using an acoustic signal with known devices and methods for conductors recognizing. (Conclusions) The article reveals the shortcomings of existing methods and means of identifying wires and cables. Authors performed a theoretical calculation of the sound pressure in the conductor at a given distance. The article presents the calculation of speed of acoustic waves in conductors with different types of insulation. Authors designed a microcontroller device for identifying conductors using an acoustic signal and tested it. It was determined that the device increases the safety of work, reduces the cost of operating internal wiring and identification time; eliminates the violation of wire insulation, the need to disable electrical receivers. The convergence of theoretical calculations and experimental data was shown.

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The advertisement call of Allobates niputidea (Anura: Aromobatidae)

Zootaxa ◽

10.11646/zootaxa.4656.1.14 ◽

2019 ◽

Vol 4656 (1) ◽

pp. 196-200

Author(s):

ANA MARÍA OSPINA-L. ◽

DANIELA MURILLO-BEDOYA ◽

DANIELA GARCÍA-COBOS ◽

ZUANIA COLÓN-PIÑEIRO ◽

ANDRÉS ACOSTA-GALVIS

Keyword(s):

Acoustic Signal ◽

Phylogenetic Relationships ◽

Advertisement Call ◽

Evolutionary Processes ◽

Behavioral Interactions ◽

Diagnostic Characters ◽

Anuran Species

In anurans, acoustic signal traits are useful for understanding patterns of evolutionary processes, behavioral interactions, and providing diagnostic characters for inferring phylogenetic relationships and delimiting species (Cocroft & Ryan 1995). The advertisement call, which is the vocalization emitted to attract females or segregate conspecific males, is the most conspicuous and studied acoustic signal (Toledo et. al. 2014). However, it remains unknown for many anuran species (Köhler et al. 2017; Guerra et al. 2018).

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Inaudible acoustic signal based key agreement system for IoT devices

Proceedings of the 18th Conference on Embedded Networked Sensor Systems ◽

10.1145/3384419.3430424 ◽

2020 ◽

Author(s):

Weitao Xu ◽

Zhenjiang Li ◽

Wanli Xue ◽

Xiaotong Yu ◽

Jia Wang ◽

...

Keyword(s):

Acoustic Signal ◽

Key Agreement ◽

Iot Devices

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Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2020.105938 ◽

2021 ◽

Vol 181 ◽

pp. 105938

Author(s):

Ketsarin Chawgien ◽

Supaporn Kiattisin

Keyword(s):

Machine Learning ◽

Image Processing ◽

Acoustic Signal ◽

Machine Learning Techniques ◽

Signal And Image Processing ◽

Learning Techniques

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