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Applied Sciences
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Selected Papers from IEEE ICICE 2018..
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Selected Papers from IEEE ICICE 2018..

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (31 January 2019) | Viewed by 6059

Special Issue Editors

Prof. Dr. Shoou-Jinn Chang

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Guest Editor
Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Interests: optical and electronic devices; semi-conductive materials; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Teen­-Hang Meen

E-Mail Website
Guest Editor
Department of Electronic Engineering National Formosa University, Yunlin 632, Taiwan
Interests: IOT devices; photovoltaic devices; STEM education
Special Issues, Collections and Topics in MDPI journals
Dr. Stephen D. Prior

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Guest Editor
Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO16 7QF, UK
Interests: microsystem design; nanotechnology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2018 IEEE International Conference on Information, Communication and Engineering (IEEE ICICE 2018, http://2018.icice.net) will be held in Xiamen, Fujian, P.R. China, 28–30 September, 2018, and will provide a unified communication platform for a wide range of topics. This Special Issue on “Selected Papers from IEEE ICICE 2018” is expected to select excellent papers presented at IEEE ICICE 2018 regarding the “Applied System Innovation” topic. Mechanical engineering and design innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation by mechanical engineering includes IT-based intelligent mechanical systems, mechanics and design innovations, and applied materials in nanosciences and nanotechnology. These new technologies, which implant intelligence in machine systems, are an interdisciplinary area combining conventional mechanical technology and new information technology.

The main goal of this Special Issue is to discover new scientific knowledge relevant to IT-based intelligent mechanical systems, mechanics and design innovations, and applied materials in nanosciences and nanotechnology. We invite investigators interested in applied system innovation to contribute original research articles to this Special Issue. Potential topics include, but are not limited to:

  • Intelligent mechanical manufacturing systems
  • Mathematical problems on mechanical system design
  • Smart electromechanical system analysis and design
  • Applied materials in nanosciences and nanotechnology
  • Computer-aided methods for mechanical design procedure and manufacture.
  • Computer and human–machine interaction.
  • Internet Technology on mechanical system innovation.
  • Machine diagnostics and reliability
  • Human–machine interaction/virtual reality and entertainment

Prof. Dr. Shoou­Jinn Chang
Prof. Dr. Teen­-Hang Meen
Dr. Stephen D. Prior
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. Applied Sciences 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 2400 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

  • Smart electromechanical system analysis and design
  • Intelligent mechanical System
  • Applied Materials on Nanosciences and Nanotechnology

Published Papers (2 papers)

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Research

23 pages, 336 KiB  
Article
Rank-Based Comparative Research Flow Benchmarking the Effectiveness of AHP–GTMA on Aiding Decisions of Shredder Selection by Reference to AHP–TOPSIS
by Zheng-Yun Zhuang, Chang-Ching Lin, Chih-Yung Chen and Chia-Rong Su
Appl. Sci. 2018, 8(10), 1974; https://doi.org/10.3390/app8101974 - 18 Oct 2018
Cited by 15 | Viewed by 2666
Abstract
The AHP–GTMA (analytic hierarchy process and graph theory and matrix approach) has been applied to select the best paper shredder before a company was making a bulk purchase order. However, there is a question as to whether one such relatively recent approach is [...] Read more.
The AHP–GTMA (analytic hierarchy process and graph theory and matrix approach) has been applied to select the best paper shredder before a company was making a bulk purchase order. However, there is a question as to whether one such relatively recent approach is effective to aid the selection decision problems in industrial/commercial practice. In this paper, a novel multi-measure, rank-based comparative research flow is proposed. The real decision problem case mentioned above is solved using the AHP–GTMA and the AHP–TOPSIS methods, respectively, with relevant datasets sourced. Several measures in the proposed flow, i.e., the arithmetical, geometrical, or even statistical ones, are multiplexed and used to validate the similarity between the rank order vectors (ROVs) (and thus between the final preferential orders determined over the alternatives) that are obtained using these two different methods. While AHP–TOPSIS is a confident multi-attribute decision-making (MADM) approach which has been successfully applied to many other fields, the similarity validated between these individual results using the proposed method is used to confirm the efficacy of the AHP–GTMA approach and to determine its applicability in practice. In addition, along with this study, some contributable points are also rendered for implementing the decision models, e.g., the optimized recursive implementation in R to compute the permanent value of a square ASAM (alternative selection attribute matrix, which is the computational basis required by AHP–GTMA) of any dimension. The proposed methodological flow to confirm the similarity based on the ordinal rank information is not only convenient in operational practice with ubiquitous tool supports (e.g., the vector-based R statistical platform), but also generalizable (to verify between another pair of results obtained using any other MADM methods). This gives options for future research. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICICE 2018..)
13 pages, 2111 KiB  
Article
Optimal Location of the Access Points for MIMO-UWB Systems
by Wei Chien, Chia-Ying Yu, Chien-Ching Chiu and Po-Hsuan Huang
Appl. Sci. 2018, 8(9), 1509; https://doi.org/10.3390/app8091509 - 01 Sep 2018
Cited by 5 | Viewed by 2627
Abstract
A multiple-input and multiple-output ultra-wideband (MIMO-UWB) system provides a higher data rate. However, the multipath effect of the intersymbol interference (ISI) increases the bit error rate (BER) and outage probability of the MIMO-UWB system. For this paper, the authors applied the real orthogonal [...] Read more.
A multiple-input and multiple-output ultra-wideband (MIMO-UWB) system provides a higher data rate. However, the multipath effect of the intersymbol interference (ISI) increases the bit error rate (BER) and outage probability of the MIMO-UWB system. For this paper, the authors applied the real orthogonal design (ROD) to an MIMO-UWB system to improve the efficiency of that system. A ray-tracing technique and an inverse fast Fourier transform were used to get the impulse response of the indoor environment. In addition, a rake receiver was used to increase the strength of the received signal to minimize the multipath effect. For this paper, two cases of an indoor wireless MIMO-UWB system were studied: case (A) used different antenna arrays, whereas case (B) placed antenna arrays in different locations to find the best position of the transmitter. In case (A), three different shapes of antenna arrays, namely L-shape, circular-shape, and Y-shape, were used for the transmitter and receiver. The BER performance for these arrays in the UWB frequency of 3.1–10.6 GHz was examined. Numerical results showed that the outage probability of the circular array was better than that of the other two arrays. In case (B), the transmitter used was an array with two antenna elements. The optimal location for the transmitter was found by using both asynchronous particle swarm optimization (APSO) and self-adaptive dynamic differential evolution (SADDE). The numerical results indicated that the performance of APSO was better than that of SADDE. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICICE 2018..)
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