Special Issue "Selected papers from IEEE ICASI 2018"

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (31 August 2018)

Special Issue Editors

Guest Editor
Prof. Dr. Teen-Hang Meen

Distinguished Professor, Department of Electronic Engineering, National Formosa University, Yunlin 632, Taiwan
Website | E-Mail
Interests: photovoltaic device; dye-sensitized solar cells; nanotechnology
Guest Editor
Prof. Dr. Wenbing Zhao

Department of Electrical Engineering and Computer Science, College of Engineering, Cleveland State University, Cleveland, OH 44115, USA
Website | E-Mail
Interests: smart healthcare; motion tracking; computer vision; human–computer interaction; distributed systems

Special Issue Information

Dear Colleagues,

The 2018 IEEE International Conference on Applied System Innovation (IEEE ICASI 2018) will be held in Chiba and Tokyo in Japan, on 13–17 April 2018, and will provide a unified communication platform for material topics. This Special Issue on “Selected Papers from IEEE ICASI 2018” is expected to select excellent papers presented at IEEE ICASI 2018 about “Applied System Innovation”. Mechanical Engineering and Design Innovations are both an academic and practical engineering field that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation via Mechanical Engineering includes IT-based Intelligent Mechanical Systems, Mechanics and Design Innovations, and Applied Materials on Nanosciences and Nanotechnology. 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 Innovations to contribute their original research articles to this Special Issue. Potential topics include, but are not limited to:

  • Intelligent mechanical manufacturing system
  • Mathematical problems on mechanical system design.
  • Smart electromechanical system analysis and design
  • Applied materials on 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
Schedule

Manuscript Due: September 30, 2018
First Round of Reviews: October 31, 2018
Second Round of Reviews: November 30, 2018
Acceptance of Final papers and Publication: December 31, 2018

Prof. Dr. Teen­Hang Meen
Prof. Dr. Wenbing Zhao
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 papers will be 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 System Innovation is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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 (6 papers)

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Research

Open AccessArticle Employing Robust Principal Component Analysis for Noise-Robust Speech Feature Extraction in Automatic Speech Recognition with the Structure of a Deep Neural Network
Appl. Syst. Innov. 2018, 1(3), 28; https://doi.org/10.3390/asi1030028
Received: 6 April 2018 / Revised: 11 August 2018 / Accepted: 12 August 2018 / Published: 15 August 2018
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Abstract
In recent decades, researchers have been focused on developing noise-robust methods in order to compensate for noise effects in automatic speech recognition (ASR) systems and enhance their performance. In this paper, we propose a feature-based noise-robust method that employs a novel data analysis
[...] Read more.
In recent decades, researchers have been focused on developing noise-robust methods in order to compensate for noise effects in automatic speech recognition (ASR) systems and enhance their performance. In this paper, we propose a feature-based noise-robust method that employs a novel data analysis technique—robust principal component analysis (RPCA). In the proposed scenario, RPCA is employed to process a noise-corrupted speech feature matrix, and the obtained sparse partition is shown to reveal speech-dominant characteristics. One apparent advantage of using RPCA for enhancing noise robustness is that no prior knowledge about the noise is required. The proposed RPCA-based method is evaluated with the Aurora-4 database and a task using a state-of-the-art deep neural network (DNN) architecture as the acoustic models. The evaluation results indicate that the newly proposed method can provide the original speech feature with significant recognition accuracy improvement, and can be cascaded with mean normalization (MN), mean and variance normalization (MVN), and relative spectral (RASTA)—three well-known and widely used feature robustness algorithms—to achieve better performance compared with the individual component method. Full article
(This article belongs to the Special Issue Selected papers from IEEE ICASI 2018)
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Open AccessArticle An Effect of White Space on Traditional Chinese Text-Reading on Smartphones
Appl. Syst. Innov. 2018, 1(3), 24; https://doi.org/10.3390/asi1030024
Received: 1 April 2018 / Revised: 1 July 2018 / Accepted: 20 July 2018 / Published: 23 July 2018
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Abstract
The study explored the effects of white space on reading performance of Chinese essays on smartphones. The experiment was a 2(Line spacing) × 2(Paragraph spacing) × 3(Page spacing) Latin square design with two replicates. The Line spacing had two levels: two-font leading and
[...] Read more.
The study explored the effects of white space on reading performance of Chinese essays on smartphones. The experiment was a 2(Line spacing) × 2(Paragraph spacing) × 3(Page spacing) Latin square design with two replicates. The Line spacing had two levels: two-font leading and three-font leading. The Paragraph spacing included two levels: one-leading space and two-leading space. The Page spacing included three levels: none spacing, one-third spacing, and one-half spacing. The objective performance measure was reading time; and subjective performance measures included ratings of ease, comfort, aesthetic appeal, and preference. Results of analysis of variance indicated that the main effects of Page spacing, Line spacing, and Paragraph spacing were significant on reading time. Additionally, Page spacing was also significant on ratings of ease, comfort, aesthetic appeal and preference; Line spacing was significant on comfort and aesthetic appeal. However, Paragraph spacing was not significant on ratings of effortlessness, comfort, aesthetic appeal, and preference. Full article
(This article belongs to the Special Issue Selected papers from IEEE ICASI 2018)
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Open AccessArticle Motion Sensor Application on Building Lighting Installation for Energy Saving and Carbon Reduction Joint Crediting Mechanism
Appl. Syst. Innov. 2018, 1(3), 23; https://doi.org/10.3390/asi1030023
Received: 7 April 2018 / Revised: 5 July 2018 / Accepted: 6 July 2018 / Published: 23 July 2018
PDF Full-text (1851 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Although common in developed countries such as Japan and Taiwan, the use of lamps coupled with motion sensors are still uncommon and even rare in Indonesia. Our experiment aims to show that simple installation of commercially available motion sensors can contribute to reduce
[...] Read more.
Although common in developed countries such as Japan and Taiwan, the use of lamps coupled with motion sensors are still uncommon and even rare in Indonesia. Our experiment aims to show that simple installation of commercially available motion sensors can contribute to reduce the electricity bill from the increase of energy efficiency, abundance in availability of energy being the main factor in Indonesian high energy consumption habits. High electricity demand for consumption at current supply level in Indonesia led to the rising cost of electricity bills. This factor is compounded by the fact that many electric generators in Indonesia still use fossil fuels, which contributes to the high basic generation cost. UBL is one of the universities that aim to be a green campus. Our research explores the possibility of installing motion sensors to contribute to the energy efficiency. Although mostly common in developed countries, the use of motion sensors for energy efficiency is still rare, especially in Indonesia. Despite rising cost and supply shortages, Indonesian buildings are still of high energy consumption. Our experiment shows that simple installation of commercially available motion sensors can contribute to reduce the electricity bill from the increase of energy efficiency. One of the efforts to lower energy demand on the consumer side is to use the electricity efficiently, such as turning off lights in a room when it is not in use. This method can be simply done by turning the light switches for office and classrooms, but difficult to do in public spaces such as toilets and corridors. Automatic light switches experimentally installed in sample toilet rooms prove that electricity consumption from the lamps can contribute to the reduction of total weekly energy that translates into Greenhouse Gas emission reduction. Full article
(This article belongs to the Special Issue Selected papers from IEEE ICASI 2018)
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Open AccessArticle A Hexapod Robot with Non-Collocated Actuators
Appl. Syst. Innov. 2018, 1(3), 20; https://doi.org/10.3390/asi1030020
Received: 8 April 2018 / Revised: 25 May 2018 / Accepted: 12 June 2018 / Published: 25 June 2018
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Abstract
The primary issue in developing hexapod robots is generating legged motion without tumbling. However, when the hexapod is designed with collocated actuators, where each joint is directly mounted with an actuator, the number of actuators is usually high. The adverse effects of using
[...] Read more.
The primary issue in developing hexapod robots is generating legged motion without tumbling. However, when the hexapod is designed with collocated actuators, where each joint is directly mounted with an actuator, the number of actuators is usually high. The adverse effects of using a great number of actuators include the rise in the challenge of algorithms to control legged motion, the decline in loading capacity, and the increase in the cost of construction. In order to alleviate these problems, we propose a hexapod robot design with non-collocated actuators which is achieved through mechanisms. This hexapod robot is reliable and robust which, because of its mechanism-generated (as opposed to computer-generated) tripod gaits, is always is statically stable, even if running out of battery or due to electronic failure. Full article
(This article belongs to the Special Issue Selected papers from IEEE ICASI 2018)
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Open AccessArticle Influence of Rake Angles of Multi-Position Tool on Cutting Characteristics
Appl. Syst. Innov. 2018, 1(2), 18; https://doi.org/10.3390/asi1020018
Received: 19 April 2018 / Revised: 28 May 2018 / Accepted: 28 May 2018 / Published: 14 June 2018
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Abstract
During current high-speed cutting processing, the requirements on the CNC machine tool, controller, and cutting technique has become higher and higher. This research focuses on cutting tools, when the rake angles of different tools cause the shearing cut to change, and when the
[...] Read more.
During current high-speed cutting processing, the requirements on the CNC machine tool, controller, and cutting technique has become higher and higher. This research focuses on cutting tools, when the rake angles of different tools cause the shearing cut to change, and when the cutting force and cutting resistance are changed accordingly. In general, the rake angle is smaller in rough machining and bigger in finish machining. Therefore, the size of the rake angle should be decided on by considering the workpiece, feed-rate, cutting depth, cutting speed, cutter life, etc. In this research, we make different changes to the rake angle of the milling cutter and do real cutting tests to discuss the impact that rake angle change has on its processing characteristics. During the cutting experiment, by setting different cutting parameters, this research aims to get cutting force data using the dynamometer and the signal interceptor, and to analyze the relevance of the cutting force change, abrasion of tool, surface roughness, and chip morphology of different rake angles. This will be done through observation when the rake angle is 0°, when the cutting force in the X/Y/Z direction is the smallest, when the depth of the cut is 0.1 to 0.3 mm, and when the tangential shear cutting constant Kts is reduced by 50%. Full article
(This article belongs to the Special Issue Selected papers from IEEE ICASI 2018)
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Open AccessArticle Evaluation of Packaging Form Regarding Consumers’ Sentimental Response to Bottled Beverage Containers
Appl. Syst. Innov. 2018, 1(2), 16; https://doi.org/10.3390/asi1020016
Received: 8 April 2018 / Revised: 22 May 2018 / Accepted: 28 May 2018 / Published: 29 May 2018
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Abstract
With the rise of consumer awareness in the increasingly competitive marketplace, attracting consumers’ attention to a successful product is an important issue. Regarding consumers’ purchasing decisions for bottled beverages, decision-making is driven not only by a beverage’s flavor attributes or brand impression, but
[...] Read more.
With the rise of consumer awareness in the increasingly competitive marketplace, attracting consumers’ attention to a successful product is an important issue. Regarding consumers’ purchasing decisions for bottled beverages, decision-making is driven not only by a beverage’s flavor attributes or brand impression, but also by the visual effect of its packaging design. Accordingly, how to create an attractive beverage packaging based on consumers’ affective requirements has become one of the most important concerns to promote sales of beverages. Many studies have discussed the visual design of container form design based on consumers’ sentimental responses by means of investigation and analysis. However, most research has focused on the exploration of a single beverage category, and rarely on the discussion of various beverage categories in terms of container design. To explore the issue, three beverage categories of PET (Polyethylene terephthalate) container form samples are chosen as examples of carbonated drinks, water drinks, and tea drinks. A series of visual evaluations of the PET container form was conducted to explore how the features influence consumers’ sentimental responses, and to compare the difference between the container features for the three categories of bottled beverages. The research results can provide bottled beverage designers/manufacturers with some meaningful suggestions for developing a new container design that meets consumers’ sentimental expectations. Full article
(This article belongs to the Special Issue Selected papers from IEEE ICASI 2018)
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