Studies on Pest Identification by Ultrasound

Masaki Okuguno

doi:10.4028/www.scientific.net/AMM.894.15

Paper Titles

Preface

Identification of Vibration Parameters of Mechanical System Utilizing Low-Cost MEMS Accelerometers
p.1

Development of 3D Printable Bone Model with Fracture Lines for Additive Manufacturing Applications
p.9

Studies on Pest Identification by Ultrasound
p.15

Application of Diamond Fly Cutting to Improve Form Accuracy by In-Process Measurement and Control for Ordinary Milling Machines
p.21

A Semi-Active Controller for an Aircraft Landing Gear Equipped with Magnetorheological Damper
p.29

A Novel Rotor Profile Generation Method for Claw-Type Vacuum Pumps Based on Sealing Line
p.34

Force Analysis for a Variable-Pitch Rotor Meshing Pair in Twin-Screw Vacuum Pump Generating on CNC Turning Machine
p.41

A Study on Active Closed-Loop Gap Control for Hydrostatic Bearing
p.51

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 894Studies on Pest Identification by Ultrasound

Studies on Pest Identification by Ultrasound

Abstract:

Recently, environmental damage caused by pest, invasive species Nutria has become an issue in Tottori Prefecture and development of an effective control method is in demand. Therefore, we have developed a robot that could identify pest by using ultrasonic sensor. The benefits of using this robot is that it is difficult to be influenced by environmental conditions and easily recognizes three dimensional input. Unfortunately, this robot could only confirm the presence of target object but could not identify the object, which means it could not differentiate whether the object is human or pest. In this paper, we have invented a robot that could visualize the object by using frequency-modulated ultrasound and Self-Organizing Map (SOM).

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Periodical:

Applied Mechanics and Materials (Volume 894)

Pages:

15-20

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.894.15

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Online since:

September 2019

Authors:

Masaki Okuguno*

Keywords:

Frequency-Modulation, Pest, Self-Organizing Map, Ultrasound, Wavelength

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* - Corresponding Author

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