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Applied Sciences
Special Issues
Selected Papers from TIKI-ICICE 2018
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Selected Papers from TIKI-ICICE 2018

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

Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 13134

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
Prof. Dr. Sheng-Joue Young

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Guest Editor
Department of Electronic Engineering, National United University, Miaoli City 36063, Taiwan
Interests: semiconductor physics; optoelectronic devices; nanotechnology
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 International Conference on Innovation, Communication and Engineering (TIKI ICICE 2018, and will provide a unified communication platform for a wide range of topics. This Special Issue on “Selected Papers from TIKI ICICE 2018” is expected to select excellent papers presented at TIKI ICICE 2018 regarding the topic of applied sciences. 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. Shoou-Jinn Chang
Prof. Dr. Sheng-Joue Young
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

  • Advanced materials
  • Microelectronic devices
  • Optical sensors.

Published Papers (2 papers)

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16 pages, 4600 KiB  
Article
Research and Development of Automatic Monitoring System for Livestock Farms
by Chin-Shan Chen and Wei-Cheng Chen
Appl. Sci. 2019, 9(6), 1132; https://doi.org/10.3390/app9061132 - 18 Mar 2019
Cited by 17 | Viewed by 5377
Abstract
In this study we have developed an automatic monitoring system based on wireless communication networks in both dairy and pig farms to replace traditional manual data collection of the environmental conditions and manual controls of fans and water control valves in livestock farms [...] Read more.
In this study we have developed an automatic monitoring system based on wireless communication networks in both dairy and pig farms to replace traditional manual data collection of the environmental conditions and manual controls of fans and water control valves in livestock farms to solve the man-power shortage problem for livestock farming. Firstly, sensors for detecting temperature, humidity, illumination, wind speed and the control circuit and communication system were installed. The monitoring programs were subsequently designed to transmit the data back to the user interface display of the office through RFU-400 wireless communication modules, and the data collected from the farm environment have been stored in a database for data analysis. Finally, the fans and water spray valves have been automatically activated duly to improve the temperature and humidity of the livestock farms. We analyzed the data collected from the sensors with regard to the lactation yields for dairy cows, and suggested optimized environmental parameters for dairy cows to increase their appetite and lactation yield, or increase the feed conversion rate of the pigs. We expect the process and results of this study can result in helpful reference to livestock farming, and help to achieve the best economic benefits in raising cattle, pigs and so forth. Full article
(This article belongs to the Special Issue Selected Papers from TIKI-ICICE 2018)
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15 pages, 4189 KiB  
Article
Application of Support Vector Machine in Designing Theo Jansen Linkages
by Min-Chan Hwang, Chiou-Jye Huang and Feifei Liu
Appl. Sci. 2019, 9(3), 371; https://doi.org/10.3390/app9030371 - 22 Jan 2019
Cited by 3 | Viewed by 7177
Abstract
Theo Jansen linkage is an appealing mechanism to implement a bio-inspired motion for a legged robot. The oval orbit that is generated by the Theo Jansen linkage, possessing a transversal axis longer than a lateral axis, achieves energy efficient walking comparing to the [...] Read more.
Theo Jansen linkage is an appealing mechanism to implement a bio-inspired motion for a legged robot. The oval orbit that is generated by the Theo Jansen linkage, possessing a transversal axis longer than a lateral axis, achieves energy efficient walking comparing to the circular orbit that is generated by the four-bar linkage. However, the ensemble of its links can produce different patterns of orbits other than oval orbits, some of which are not qualified to be the foot trajectories. It is vital to give a guideline, to which one can refer, to ensure the design of a Theo Jansen leg always possessing its eligibility. In this paper, the machine learning technique, called SVM (Support Vector Machine) along with machine vision serving as a classifier to distinguish desired trajectories from undesired ones, is employed and two databases gathering all eligible data concerned with properties of orbits and dimensions of Theo Jansen linkages are established. Based upon SVM to delimit the eligible designs, one can seek the improvement of a Theo Jansen linkage by resizing its links without rendering an ineligible design. The ensemble dimensions of Theo Jansen linkage can be determined by searching the orbits in compliance with the specification of obliqueness and slenderness from the database of properties and using their correspondent identity numbers to list all candidates of TJLs from the database of dimensions. With the aid of this proposed method, the TJLs have been successfully designed and implemented on a legged robot. Full article
(This article belongs to the Special Issue Selected Papers from TIKI-ICICE 2018)
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