Selected Papers from TIKI IEEE ICICE 2019&ICASI 2020

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 7552

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Department of Electronic Engineering, National United University, Miaoli City 36063, Taiwan
Interests: semiconductor physics; optoelectronic devices; nanotechnology
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Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Interests: optical and electronic devices; semi-conductive materials; nanotechnology
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Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO16 7QF, UK
Interests: microsystem design; nanotechnology
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Department of Electro-Optical Engineering, National Formosa University, Yunlin, Taiwan
Interests: nano-optoelectronics; photo detector; nanomaterials
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Department of Electronic Engineering, National Quemoy University, Kinmen County 892, Taiwan
Interests: solar cells; nano-material phosphor; sensor
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Special Issue Information

Dear Colleagues,

The 2019 International Conference on Innovation, Communication and Engineering (TIKI ICICE 2019, http://2019.icice.net/) will be held in Zhengzhou (鄭州), Henan Province, China on October 25–30, 2019. The 6th IEEE International Conference on Applied System Innovation 2020 (IEEE ICASI 2020, https://2020.icasi-conf.net/) will be held in Tokyo, Japan on May 13–17, 2020. These two conferences will provide a unified communication platform for a wide range of topics. This Special Issue on “Selected Papers from TIKI IEEE ICICE 2019&ICASI 2020” is expected to select excellent papers presented at TIKI IEEE ICICE 2019&ICASI 2020 regarding the “Applied Sciences” 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. Sheng-Joue Young
Prof. Dr. Shoou-Jinn Chang
Dr. Stephen D. Prior
Prof. Dr. Liang-Wen Ji
Prof. Dr. Hao-Ying Lu
Guest Editors

Manuscript Submission Information

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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 (3 papers)

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Research

23 pages, 1606 KiB  
Article
The Influence of Smartphone Games on Students’ Self-Concept
by Ya-Chuan Ko, Chi-Hung Lo and Yung-Chih Chang
Appl. Sci. 2021, 11(16), 7408; https://doi.org/10.3390/app11167408 - 12 Aug 2021
Cited by 1 | Viewed by 2312
Abstract
Children begin to understand the world from birth, gradually recognizing their existence. On interaction with their surrounding environments, they begin to recognize themselves and gradually develop self-concepts. With the advancement in technology, smartphones have become an indispensable daily necessity. The age at which [...] Read more.
Children begin to understand the world from birth, gradually recognizing their existence. On interaction with their surrounding environments, they begin to recognize themselves and gradually develop self-concepts. With the advancement in technology, smartphones have become an indispensable daily necessity. The age at which a child handles a smartphone is gradually decreasing. Many traditional toys are increasingly being replaced by smartphone games, which have become an essential part of children’s lives. This study attempts to understand the impact of smartphone games on the development of children’s self-concept. Using the Piers-Harris Children’s Self-Concept Scale, a questionnaire survey was conducted among students of grades 3 and 4 in elementary school. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICICE 2019&ICASI 2020)
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21 pages, 5548 KiB  
Article
A Multiple-Swarm Particle Swarm Optimisation Scheme for Tracing Packets Back to the Attack Sources of Botnet
by Hsiao-Chung Lin, Ping Wang, Wen-Hui Lin and Yu-Hsiang Huang
Appl. Sci. 2021, 11(3), 1139; https://doi.org/10.3390/app11031139 - 26 Jan 2021
Cited by 2 | Viewed by 1821
Abstract
Network intrusion detection systems that employ existing IP traceback (IPTBK) algorithms are generally unable to trace multiple attack sources. In these systems, the sampling mechanism only screens parts of the routing information, which leads to the tracing of the neighbour of the attack [...] Read more.
Network intrusion detection systems that employ existing IP traceback (IPTBK) algorithms are generally unable to trace multiple attack sources. In these systems, the sampling mechanism only screens parts of the routing information, which leads to the tracing of the neighbour of the attack source and fails to identify the attack source. Theoretically, the multimodal optimisation problem cannot be solved for all of its multiple solutions using the traditional particle swarm optimisation (PSO) algorithm. The present study focuses on the use of multiple-swarm PSO (MSPSO) for recursively tracing attack paths back to a botnet’s multiple attack sources using the subgroup strategy. Specifically, the fitness of each path was calculated using a quasi-Newton gradient descent method to confirm the crucial path for successfully tracing the attack source. For multimodal optimisation problems, the MSPSO algorithm achieves an effective balance between individual particle exploitation and multiswarm exploration when premature convergence occurs. Thus, this algorithm accurately traces multiple attack sources. To verify the effectiveness of identifying Distributed Denial-Of-Service (DDoS) control centres, networks with various topology sizes (32–64 nodes) were simulated using ns-3 with the Boston University Representative Internet Topology Generator. The proposed A* search algorithm (minimal cost pathfinding algorithm) and MSPSO were used to identify the sources of simulated DDoS attacks. Compared with commonly available systems, the MSPSO algorithm performs better in multimodal optimisation problems, improves the accuracy of traceability analysis and reduces false responses for IPTBK problems. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICICE 2019&ICASI 2020)
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18 pages, 6951 KiB  
Article
Wireless Home Assistive System for Severely Disabled People
by Chung-Min Wu, Yeou-Jiunn Chen, Shih-Chung Chen and Chia-Hong Yeng
Appl. Sci. 2020, 10(15), 5226; https://doi.org/10.3390/app10155226 - 29 Jul 2020
Cited by 6 | Viewed by 2486
Abstract
A lot of people with severe disabilities such as amyotrophic lateral sclerosis, motor neuron diseases, cerebral palsy, stroke, and spinal cord injury with intubation always have different degrees of communication problems. Therefore, it is very important to develop an effective and easy use [...] Read more.
A lot of people with severe disabilities such as amyotrophic lateral sclerosis, motor neuron diseases, cerebral palsy, stroke, and spinal cord injury with intubation always have different degrees of communication problems. Therefore, it is very important to develop an effective and easy use assistive communication system for the severely disabled. In this study, a wireless home assistive system (WHAS) with different types of assistive input accessories sensors, Morse code translator, and human machine interface is developed and tested to help the severely disabled communicate with people and machines. A Morse code translator is implemented as an assistive communication core device to facilitate the input of the severely disabled. For the proposed human–machine interfaces, personal computer-based alternative augmentative communication is developed for patients to communicate with other people easily. To promote the quality of life, the home appliance control interface is developed for the severely disabled to directly control the functions of home appliances by themselves. The experimental results showed that the proposed WHAS is practical and feasible. Therefore, the proposed approach can help severely disabled individuals effectively interact with their surroundings. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICICE 2019&ICASI 2020)
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