Special Issue "Selected Papers from IIKII 2020 Conferences"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 3791

Special Issue Editors

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
Prof. Dr. Charles Tijus
E-Mail Website
Guest Editor
Director of the Cognitions Humaine et Artificielle Laboratory, Professeur de Psychologie Cognitive – Université, Paris 8, France
Interests: internet of objects; data mining; brain–computer interaction
Special Issues, Collections and Topics in MDPI journals
Prof. Ting-Cheng Chang
E-Mail Website
Guest Editor
Department of Computer and Information Engineering, Ningde Normal University, Ningde, Fujian, China
Interests: data mining; AI application; IoT implementation

Special Issue Information

Dear Colleagues,

International Institute of Knowledge Innovation and Invention (IIKII, http://www.iikii.org) is the institute in Taiwan that promotes the exchange of innovations and inventions, and establishes a communication platform for international innovations and research. In 202, IIKII is cooperating with IEEE Tainan Section Sensors Council to hold IEEE conferences such as IEEE ECBIOS 2020 (http://www.ecbios.asia), IEEE ICKII 2020 (http://www.ickii.org), and IEEE ECICE 2020 (http://www.ecice.asia). The booming economic development in Asia, particularly the leading manufacturing industries, ranging from automobile, machinery, computer, communication, consumer product, flat panel display, to semiconductors and micro/nano areas, have attracted intense attention from universities, research institutions, and many industrial corporations. These three conferences aim to provide a broad international forum for world researchers, engineers, and professionals working in the areas of computation, communication, and internet technologies to discuss and consider various scientific, technical, and management aspects across the wide spectrum of the society.

This Special Issue, entitled "Selected Papers from IIKII 2020 Conferences", aims to select excellent papers from IIKII 2020 conferences and other high-quality papers about the topics of information, such as information theory and methodology, information systems, information processes, information applications, and information and communications technology. The theme of the Special Issue focuses on emerging technologies. Papers with innovative idea or research results from all aspects of information are encouraged for submission. We invite investigators to contribute original research articles as well as review articles to this Special Issue. Potential topics include, but are not limited to:

  • coding theory
  • information-theoretical security
  • quantum information
  • philosophy/ethics of information
  • knowledge management
  • social media and social networks
  • big data and cloud computing
  • digital signal processing
  • data mining
  • information extraction
  • human–machine interface
  • information in society and social development
  • business process management
  • communication systems and networks
  • wireless sensor network
  • mobile communication services

Prof. Dr. Teen­Hang Meen
Prof. Dr. Charles Tijus
Prof. Ting-Cheng Chang
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. Information is an international peer-reviewed open access monthly 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 1400 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

  • Information theory and methodology
  • Information systems
  • Information processes
  • Information applications
  • Information and communications technology

Published Papers (3 papers)

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Research

Article
A Matrix Approach for Analyzing Signal Flow Graph
Information 2020, 11(12), 562; https://doi.org/10.3390/info11120562 - 30 Nov 2020
Cited by 2 | Viewed by 1149
Abstract
Mason’s gain formula can grow factorially because of growth in the enumeration of paths in a directed graph. Each of the (n − 2)! permutation of the intermediate vertices includes a path between input and output nodes. This paper presents a novel [...] Read more.
Mason’s gain formula can grow factorially because of growth in the enumeration of paths in a directed graph. Each of the (n − 2)! permutation of the intermediate vertices includes a path between input and output nodes. This paper presents a novel method for analyzing the loop gain of a signal flow graph based on the transform matrix approach. This approach only requires matrix determinant operations to determine the transfer function with complexity O(n3) in the worst case, therefore rendering it more efficient than Mason’s gain formula. We derive the transfer function of the signal flow graph to the ratio of different cofactor matrices of the augmented matrix. By using the cofactor expansion, we then obtain a correspondence between the topological operation of deleting a vertex from a signal flow graph and the algebraic operation of eliminating a variable from the set of equations. A set of loops sharing the same backward edges, referred to as a loop group, is used to simplify the loop enumeration. Two examples of feedback networks demonstrate the intuitive approach to obtain the transfer function for both numerical and computer-aided symbolic analysis, which yields the same results as Mason’s gain formula. The transfer matrix offers an excellent physical insight, because it enables visualization of the signal flow. Full article
(This article belongs to the Special Issue Selected Papers from IIKII 2020 Conferences)
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Article
Perspectives of Platform Operators, Content Producers, and Information Receivers toward Health and Fitness Apps
Information 2020, 11(10), 481; https://doi.org/10.3390/info11100481 - 14 Oct 2020
Cited by 1 | Viewed by 938
Abstract
The interactive mechanism among platform operators, content producers, and information receivers is increasingly complex in human–computer symbiosis. The purpose of this study is to identify the interactive value among platform operators, content producers, and information receivers with regard to information through the health [...] Read more.
The interactive mechanism among platform operators, content producers, and information receivers is increasingly complex in human–computer symbiosis. The purpose of this study is to identify the interactive value among platform operators, content producers, and information receivers with regard to information through the health and fitness apps by adopting an advanced Analytic Hierarchy Process (AHP) method derived from professional perspectives of app users and operators, key opinion leaders, scholars, and officers. The AHP method was allocated weightings to the evaluation criteria from the twelve panelists from three groups of platform operators, content producers, and information receivers. After focus group interviews were conducted, four dimensions and twelve sub-dimensions of the initial health and fitness apps were obtained as follows: Content category: Monitoring, exercise, journaling, and sleeping; (2) User reviews: Fuctionality, interactivity, and criticism; (3) Content updates: New feature, correctness, and new language; (4) Platform terms: Privacy, accuracy, ownership, and right of use. The study integrated the panelists’ opinions toward health and fitness apps and analyzed the weight of each indicator according to their importance by Power Choice V2.5. The results revealed that the weights of dimensions of health and fitness apps were sorted by content category, user review, platform terms, and content update, as well as that the weights of the top six sub-dimensions were followed: monitoring, exercise, functionality, interactivity, privacy, and accuracy. Content producers suggested increasing the popularity of their products by adding new features, whereas information receivers preferred to correct problems. Content producers and information receivers graded platform terms as less essential, whereas platform operators rated platform terms higher. This study can contribute to assisting the health and fitness industry and the overall strategic operative process by identifying how the effectiveness in the procedures, estimative process, and cost-down can enhance competitiveness to further improve users experience and satisfaction. Full article
(This article belongs to the Special Issue Selected Papers from IIKII 2020 Conferences)
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Article
Information Application of the Regional Development: Strategic Couplings in Global Production Networks in Jiangsu, China
Information 2020, 11(9), 420; https://doi.org/10.3390/info11090420 - 31 Aug 2020
Cited by 3 | Viewed by 1293
Abstract
The recent literature concerning globalizing regional development has placed significant emphasis on the Global Production Network (GPN 2.0). GPN 2.0 in economic geography emphasizes that regional growth is caused by a shift in the strategic coupling mode from a low to high level. [...] Read more.
The recent literature concerning globalizing regional development has placed significant emphasis on the Global Production Network (GPN 2.0). GPN 2.0 in economic geography emphasizes that regional growth is caused by a shift in the strategic coupling mode from a low to high level. In addition, GPN 2.0 regards firm-level value capture trajectories as key analytical object, rather than the interactive relationships among scalar and divergent actors in GPN 1.0. To provide a better understanding of causal linkages between the GPNs and uneven regional development in the background of globalization and to test the applicability of GPN 2.0 analysis framework, the paper analyzed 62 Korean-invested automotive firms in Jiangsu Province, China. In order to explore the value capture trajectories of lead firms in the GPNs, the authors applied K-means clustering method to quantitatively analyze the local supply networks of lead firms from organizational and spatial dimensions. Then, comparisons were made between strategic coupling modes of GPNs and regional development in North and South Jiangsu. This study found obvious similarities within these two regions but obvious differences between them in terms of value capture trajectories. We observed that North Jiangsu is currently in the stage of “structural coupling”, whereas South Jiangsu is in the stage of “functional coupling.” Thus, this article argues that spatial settings such as regional assets and autonomy are key factors influencing uneven economic development. This research may provide a crucial reference for the regional development of Jiangsu, China. Full article
(This article belongs to the Special Issue Selected Papers from IIKII 2020 Conferences)
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