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Selected Papers from the 2020 International Symposium on Computer, Consumer and Control (IS3C 2020)

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 4789

Special Issue Editor

Prof. Dr. Hsiung-Cheng Lin

grade E-Mail Website
Guest Editor
Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Interests: power electronics; neural network; network supervisory system; adaptive filter design; and power harmonics tracking and analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

IS3C2020 is the fifth International Symposium on Computer, Consumer and Control sponsored by IEEE and the National Chin-Yi University of Technology. This conference offers a great opportunity for scientists, engineers and practitioners to present the latest research results, ideas, developments and applications. The IS3C, held every two years, will be hosted by the National Chin-Yi University of Technology from 13 to 16 November, 2020 in Taichung, Taiwan. As suggested by the name of the conference, the themes of this conference cover advanced multimedia, computers, telecommunication, sensors and semiconductors, consumer electronics, renewable energy, systems and control and digital signal processing. Original high-quality papers related to these themes are especially welcomed, including theories, methodologies and applications in Computing, Consumer and Control. All accepted papers will be published in the conference proceedings. Selected papers will be recommended to related SCI/EI journals for a Special Issue publication.

Prof. Dr. Hsiung-Cheng Lin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • systems on chip
  • application of microelectronics
  • device modeling, simulation and design
  • material and new fabrication facilities technologies
  • nanotechnology
  • sensors
  • sensing technology
  • sensor materials
  • micro-electromechanical systems
  • microactuators

Published Papers (1 paper)

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Research

18 pages, 5996 KiB  
Article
Sound Detection Monitoring Tool in CNC Milling Sounds by K-Means Clustering Algorithm
by Cheng-Yu Peng, Ully Raihany, Shu-Wei Kuo and Yen-Zuo Chen
Sensors 2021, 21(13), 4288; https://doi.org/10.3390/s21134288 - 23 Jun 2021
Cited by 14 | Viewed by 4092
Abstract
Computer numerical control (CNC) is a machine used in the manufacturing industry to produce components quickly for the engineering field or the desired shape. In the milling process carried out by CNC machines, sometimes vibrations occur that cause unwanted cracks or damage, which [...] Read more.
Computer numerical control (CNC) is a machine used in the manufacturing industry to produce components quickly for the engineering field or the desired shape. In the milling process carried out by CNC machines, sometimes vibrations occur that cause unwanted cracks or damage, which if left unchecked, will cause more severe damage. For this reason, this study describes how to monitor and analyze the sound produced by CNC during the milling process. This study uses six sound sample videos from YouTube, and there are two modes: (1) the operating mode is three different shapes with XY, XZ, and XYZ axes, and the second (2) is based on material differences. Namely, wood, Styrofoam, and plastic. The sound generated from all samples of the CNC milling processes will be detected using a sound detection program that has been designed in the LabVIEW using a simple microphone. The resulting sound frequency will be analyzed using the fast Fourier transform (FFT) process in spectral measurements, which will produce the amplitude and frequency of the detected sound in real time in the form of a graph. All frequency results that have been obtained from the sound detection monitoring tool in the CNC milling machine will be imported into the K-means clustering algorithm where the different frequencies between the resonant frequency and noise will be classified. Based on the experiments conducted, the sound detection program can detect sounds with a significant level of sensitivity. Full article
(This article belongs to the Special Issue Selected Papers from the 2020 International Symposium on Computer, Consumer and Control (IS3C 2020))
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