Classification of Inter-Floor Noise Type/Position Via Convolutional Neural Network-Based Supervised Learning
Inter-floor noise, i.e., noise transmitted from one floor to another floor through walls or ceilings in an apartment building or an office of a multi-layered structure, causes serious social problems in South Korea. Notably, inaccurate identification of the noise type and position by human hearing i...
Main Authors: | Hwiyong Choi, Haesang Yang, Seungjun Lee, Woojae Seong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/18/3735 |
Similar Items
-
Source Type Classification and Localization of Inter-Floor Noise with a Single Sensor and Knowledge Transfer between Reinforced Concrete Buildings
by: Hwiyong Choi, et al.
Published: (2021-06-01) -
Practical Inter-Floor Noise Sensing System with Localization and Classification
by: Junho Son, et al.
Published: (2019-08-01) -
Feature Extraction Based on the Non-Negative Matrix Factorization of Convolutional Neural Networks for Monitoring Domestic Activity With Acoustic Signals
by: Seokjin Lee, et al.
Published: (2020-01-01) -
Vibro-Acoustic Numerical Simulation for Analyzing Floor Noise of a Multi-Unit Residential Structure
by: Sangki Park
Published: (2019-10-01) -
Inter-Floor Noise Monitoring System for Multi-Dwelling Houses Using Smartphones
by: Suhyun Kang, et al.
Published: (2020-06-01)