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Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016)

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A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (15 October 2016) | Viewed by 19439

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Prof. Dr. Wen-Yuan Chen

E-Mail Website
Guest Editor

Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung, Taiwan
Interests: image processing; multi-media compressed technique; multi-media communication; computer programming; and computer game design
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Hsiung-Cheng Lin

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,

IS3C2016 is The Third International Symposium on Computer, Consumer and Control, sponsored by the National Chin-Yi University of Technology, and it is formally technically co-sponsored by the IEEE Computer Society and the IEEE Industrial Electronics Society. This conference offers a great opportunity for scientists, engineers, and practitioners to present the latest research results, ideas, developments, and applications. IEEE IS3C, held every two years, is hosted by the Xi’an University of Science and Technology in Xi’an, a historic town dating back thousands of years, in China, in July 2016. (About Xi’an From Wikipedia, the free encyclopedia) As suggested by the name of the conference, the themes of this conference cover advanced multimedia, computers, telecommunications, semiconductors, consumer electronics, renewable energy, systems and control, and digital signal processing. Original high-quality papers related to these themes are especially solicited, including theories, methodologies, and applications in Computing, Consumer, and Control. All accepted papers will be published in the conference proceedings and submitted to IEEE Xplore database, as well as the EI index. All manuscripts submitted to the special issue "Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016)" should be firstly submitted to IEEE IS3C 2016 conference (Website: http://is3c2016.ncuteecs.org/). After slection, the related manuscripts will be recommended to this special issue for futher review. The selection process will be completed after 1 April 2016.

Original papers describing current research in the following themes are invited:

TRACK 1—COMPUTER

• Computer Networks, Mobile Computing, and Web Technologies

• Digital Content, Information Security, and Web Service

• Software Engineering, SOA, and Databases

• Artificial Intelligence, Knowledge Discovery, and Fuzzy Systems

• Digital Right and Watermarking

TRACK 2—MULTIMEDIA

• Hardware and Software for Multimedia Systems

• Virtual Reality, AR, MR, 3D Processing and Application

• Signal, Audio, Speech Analysis and Processing

• Image Processing and Applications

• Computer Vision, Motion, Tracking Algorithms and Applications

TRACK 3—TELECOMMUNICATION

• Wireless and Mobile Communication

• High Frequency and Microwave Circuits

• RFID Technology and Applications

• Internet Applications

• Radio and Microwave Engineering

TRACK 4—SEMICONDUCTOR

• Systems on Chip

• Application of Microelectronics

• Device Modeling, Simulation and Design

• Material and New Fabrication Facilities Technologies

• Nano Technology

• Sensors

• Sensing technology

• Sensor materials

• Micro Electro Mechanical Systems

• Microactuators

TRACK 5—CONSUMER ELECTRONICS

• Human-Machine Interfaces

• Robots

• Computer and Microprocessor-Based Control

• Automotive Electronics

• Display System Design and Implementation

TRACK 6—RENEWABLE ENERGY

• Renewable Energy Technologies

• Photovoltaic and Wind Energy Technologies

• Power Conversions

• Applications of Power Electronics in Power Systems

• Smart Grid Systems

TRACK 7—SYSTEMS AND CONTROL

• System Modeling and Simulation, Dynamics and Control

• Intelligent and Learning Control

• Robotics and Mechatronics

• Robust and Nonlinear Control

• Biomedical Systems and Control

TRACK 8—DIGITAL SIGNAL PROCESSING

• Digital Signal Processing Theory and Methods

• Statistical Signal Processing and Applications

• Biomedical and Biological Signal Processing

• Neural Networks, Fuzzy Systems, Expert Systems, Genetic Algorithms and Data Fusion for Signal Processing

• Embedded Systems for Signal Processing

Website: http://is3c2016.ncuteecs.org/

Prof. Dr. Hsiung-Cheng Lin
Prof. Dr. Wen-Yuan Chen
Guest Editors

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.

Published Papers (4 papers)

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Research

523 KiB

Open AccessArticle

Impact of Beamforming on the Path Connectivity in Cognitive Radio Ad Hoc Networks

by Le The Dung, Tran Dinh Hieu, Seong-Gon Choi, Byung-Seo Kim and Beongku An

Sensors 2017, 17(4), 690; https://doi.org/10.3390/s17040690 - 27 Mar 2017

Cited by 9 | Viewed by 3915

Abstract

This paper investigates the impact of using directional antennas and beamforming schemes on the connectivity of cognitive radio ad hoc networks (CRAHNs). Specifically, considering that secondary users use two kinds of directional antennas, i.e., uniform linear array (ULA) and uniform circular array (UCA) antennas, and two different beamforming schemes, i.e., randomized beamforming and center-directed to communicate with each other, we study the connectivity of all combination pairs of directional antennas and beamforming schemes and compare their performances to those of omnidirectional antennas. The results obtained in this paper show that, compared with omnidirectional transmission, beamforming transmission only benefits the connectivity when the density of secondary user is moderate. Moreover, the combination of UCA and randomized beamforming scheme gives the highest path connectivity in all evaluating scenarios. Finally, the number of antenna elements and degree of path loss greatly affect path connectivity in CRAHNs. Full article

(This article belongs to the Special Issue Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016))

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19320 KiB

Open AccessArticle

Application of Ultrasonic Sensors in Road Surface Condition Distinction Methods

by Shota Nakashima, Shingo Aramaki, Yuhki Kitazono, Shenglin Mu, Kanya Tanaka and Seiichi Serikawa

Sensors 2016, 16(10), 1678; https://doi.org/10.3390/s16101678 - 12 Oct 2016

Cited by 11 | Viewed by 6336

Abstract

The number of accidents involving elderly individuals has been increasing with the increase of the aging population, posing increasingly serious challenges. Most accidents are caused by reduced judgment and physical abilities, which lead to severe consequences. Therefore, studies on support systems for elderly and visually impaired people to improve the safety and quality of daily life are attracting considerable attention. In this study, a road surface condition distinction method using reflection intensities obtained by an ultrasonic sensor was proposed. The proposed method was applied to movement support systems for elderly and visually impaired individuals to detect dangerous road surfaces and give an alarm. The method did not perform well in previous studies of puddle detection, because the alert provided by the method did not enable users to avoid puddles. This study extended the method proposed by previous studies with respect to puddle detection ability. The findings indicate the effectiveness of the proposed method by considering four road surface conditions. The proposed method could detect puddle conditions. The effectiveness of the proposed method was verified in all four conditions, since users could differentiate between road surface conditions and classify the conditions as either safe or dangerous. Full article

(This article belongs to the Special Issue Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016))

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4309 KiB

Open AccessArticle

Analysis of Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms Using a Radial Basis Function Neural Network

by Chun-Cheng Lin

Sensors 2016, 16(10), 1580; https://doi.org/10.3390/s16101580 - 27 Sep 2016

Cited by 2 | Viewed by 4041

Abstract

Abnormal intra-QRS potentials (AIQPs) are commonly observed in patients at high risk for ventricular tachycardia. We present a method for approximating a measured QRS complex using a non-linear neural network with all radial basis functions having the same smoothness. We extracted the high frequency, but low amplitude intra-QRS potentials using the approximation error to identify possible ventricular tachycardia. With a specified number of neurons, we performed an orthogonal least squares algorithm to determine the center of each Gaussian radial basis function. We found that the AIQP estimation error arising from part of the normal QRS complex could cause clinicians to misjudge patients with ventricular tachycardia. Our results also show that it is possible to correct this misjudgment by combining multiple AIQP parameters estimated using various spread parameters and numbers of neurons. Clinical trials demonstrate that higher AIQP-to-QRS ratios in the X, Y and Z leads are visible in patients with ventricular tachycardia than in normal subjects. A linear combination of 60 AIQP-to-QRS ratios can achieve 100% specificity, 90% sensitivity, and 95.8% total prediction accuracy for diagnosing ventricular tachycardia. Full article

(This article belongs to the Special Issue Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016))

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7936 KiB

Open AccessArticle

Using Finite Element and Eigenmode Expansion Methods to Investigate the Periodic and Spectral Characteristic of Superstructure Fiber Bragg Gratings

by Yue-Jing He, Wei-Chih Hung and Zhe-Ping Lai

Sensors 2016, 16(2), 192; https://doi.org/10.3390/s16020192 - 04 Feb 2016

Cited by 7 | Viewed by 4551

Abstract

In this study, a numerical simulation method was employed to investigate and analyze superstructure fiber Bragg gratings (SFBGs) with five duty cycles (50%, 33.33%, 14.28%, 12.5%, and 10%). This study focuses on demonstrating the relevance between design period and spectral characteristics of SFBGs (in the form of graphics) for SFBGs of all duty cycles. Compared with complicated and hard-to-learn conventional coupled-mode theory, the result of the present study may assist beginner and expert designers in understanding the basic application aspects, optical characteristics, and design techniques of SFBGs, thereby indirectly lowering the physical concepts and mathematical skills required for entering the design field. To effectively improve the accuracy of overall computational performance and numerical calculations and to shorten the gap between simulation results and actual production, this study integrated a perfectly matched layer (PML), perfectly reflecting boundary (PRB), object meshing method (OMM), and boundary meshing method (BMM) into the finite element method (FEM) and eigenmode expansion method (EEM). The integrated method enables designers to easily and flexibly design optical fiber communication systems that conform to the specific spectral characteristic by using the simulation data in this paper, which includes bandwidth, number of channels, and band gap size. Full article

(This article belongs to the Special Issue Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016))

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Selected Papers from 2016 International Symposium on Computer, Consumer and Control (IS3C 2016)

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