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Designs
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Artificial Intelligence Supported Design and Innovation
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Artificial Intelligence Supported Design and Innovation

A special issue of Designs (ISSN 2411-9660).

Deadline for manuscript submissions: closed (30 April 2019) | Viewed by 55592

Special Issue Editors

Prof. Dr. Andrew Ware

E-Mail Website
Guest Editor
Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK
Interests: applied artificial intelligence; machine learning; computer science
Prof. Dr. Athanasios G. Malamos

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Faculty of Engineering, Hellenic Mediterranean University, Estavromenos, GR-71140 Heraklion, Crete, Greece
Interests: applied artificial intelligence; multimedia and graphics applications

Special Issue Information

Dear Colleagues,

Artificial Intelligence techniques and paradigms are having an ever-increasing impact across a wide range of activities associated with design and innovation. This impact can be seen from the way mass produced products are designed, developed, and produced through to the way bespoke artifacts can be automatically customized from generic designs. From our point of view, engineering design is not necessarily related to tangible products and CAD. Thus, in this Special Issue, we encourage authors to submit works that deal also with innovative use of artificial intelligence in user interface and user experience design, manufacturing planning design and in general in every aspect of engineering design process that produce a product or a service.

The primary objective of the Special Issue is to present a coherent and comprehensive analysis of developments relating to the application of artificial intelligent techniques in the field of design and innovation.  It is envisaged that either contributions will report on work that has already come to fruition that might act as an inspiration to others or articulate issues that need to receive further attention, together with an analysis of potential avenues for progressing them.   

Prof. Dr. Andrew Ware
Prof. Dr. Athanasios G. Malamos
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. Designs 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 1600 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

  • Creativity
  • Intelligent systems design
  • Computer-aided design
  • Algorithm-driven design
  • UI and UX design
  • Games design
  • Planning design
  • Personal Assistant systems design
  • Optimization/evaluation in engineering design
  • Sensing and AI signal processing and control
  • Cognitive design
  • Decision support
  • Deep learning
  • Crowdsourcing design

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Published Papers (7 papers)

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Research

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11 pages, 3598 KiB  
Article
Designing a Virtual Reality Platform to Facilitate Augmented Theatrical Experiences Based on Auralization
by Eftychia Lakka, Athanasios G. Malamos, Konstantinos G. Pavlakis and J. Andrew Ware
Designs 2019, 3(3), 33; https://doi.org/10.3390/designs3030033 - 1 Jul 2019
Cited by 2 | Viewed by 3314
Abstract
In the last few years, the immersive theater has become a new trend for modern performances. Venues increasingly utilize widely available computer technologies, such as virtual/augmented reality and spatial sound, to help facilitate the realization of different ideas. Motivated by this current trend, [...] Read more.
In the last few years, the immersive theater has become a new trend for modern performances. Venues increasingly utilize widely available computer technologies, such as virtual/augmented reality and spatial sound, to help facilitate the realization of different ideas. Motivated by this current trend, a prototype platform has been developed that enables the design and implementation of an augmented theatrical experience based on spatial sound immersion. This paper describes the implementation of the platform and, through several use case scenarios, its evaluation. The paper concludes with a discussion of the results and offers some thoughts on future developments. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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18 pages, 4231 KiB  
Article
Control of Smart Home Operations Using Natural Language Processing, Voice Recognition and IoT Technologies in a Multi-Tier Architecture
by George Alexakis, Spyros Panagiotakis, Alexander Fragkakis, Evangelos Markakis and Kostas Vassilakis
Designs 2019, 3(3), 32; https://doi.org/10.3390/designs3030032 - 1 Jul 2019
Cited by 51 | Viewed by 13710
Abstract
The Internet of Things (IoT) is an emerging Internet-based architecture, enabling the exchange of data and services in a global network. With the advent of the Internet of Things, more and more devices are connecting to the Internet in order to help people [...] Read more.
The Internet of Things (IoT) is an emerging Internet-based architecture, enabling the exchange of data and services in a global network. With the advent of the Internet of Things, more and more devices are connecting to the Internet in order to help people get and share data or program actions. In this paper, we introduce an IoT Agent, a Web application for monitoring and controlling a smart home remotely. The IoT Agent integrates a chat bot that can understand text or voice commands using natural language processing (NLP). With the use of NLP, home devices are more user-friendly and controlling them is easier, since even when a command or question/command is different from the presets, the system understands the user’s wishes and responds accordingly. Our solution exploits several available Application Programming Interfaces (APIs), namely: the Dialogflow API for the efficient integration of NLP to our IoT system, the Web Speech API for enriching user experience with voice recognition and synthesis features, MQTT (Message Queuing Telemetry Transport) for the lightweight control of actuators and Firebase for dynamic data storage. This is the most significant innovation it brings: the integration of several third-party APIs and open source technologies into one mash-up, highlighting how a new IoT application can be built today using a multi-tier architecture. We believe that such a tiered architecture can be very useful for the rapid development of smart home applications. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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11 pages, 2323 KiB  
Article
Design of PI Fuzzy Logic Gain Scheduling Load Frequency Control in Two-Area Power Systems
by Tawfiq Hussein and Awad Shamekh
Designs 2019, 3(2), 26; https://doi.org/10.3390/designs3020026 - 1 Jun 2019
Cited by 12 | Viewed by 5728
Abstract
In this paper the use of the proportional integral (PI) algorithm incorporated with the fuzzy logic technique has been proposed as advanced gain scheduling load frequency control (GLFC) in two-area power systems. The proposed controller comprises two-level control systems, such that it consists [...] Read more.
In this paper the use of the proportional integral (PI) algorithm incorporated with the fuzzy logic technique has been proposed as advanced gain scheduling load frequency control (GLFC) in two-area power systems. The proposed controller comprises two-level control systems, such that it consists of a pure integral compensator which is connected in parallel with a PI controller. However, and based on load demand, the PI parameters are updated online by means of fuzzy logic rules. With this control technique it becomes possible to eliminate steady state errors as well as to maintain good transient responses. The task of keeping a stable and overall satisfactory mode of operation in interconnected electric power systems is the main goal of any control strategy. This should be guaranteed over a wide range of operating conditions and particularly in sudden and drastic load changes. Therefore, the suggested approach has been examined following abnormal changes in loading conditions to clarify its reliability. The report also investigates the performance of the pure integral (I) controller and GLFC in individual configurations to highlight the advantages of the offered algorithm over the standard ones. The criterion of integral square error (ISE) has been exploited in the performance assessment for the designed controllers. Several simulation scenarios have been conducted, using the MATLAB–Simulink package, to illustrate the proficiency of the developed technique. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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7 pages, 1477 KiB  
Article
Design of a Pixelated Imaging System for Fast Neutron Sources
by John Chatzakis, Iraklis Rigakis, Syed Hassan, Eugene Laurence Clark, Paul Lee and Michael Tatarakis
Designs 2019, 3(2), 25; https://doi.org/10.3390/designs3020025 - 23 May 2019
Viewed by 2761
Abstract
Imaging detectors that use X-ray radiation and pulsed neutron sources have increased in sophistication in recent years due to the use of solid-state detectors. A key method for neutron detection is the nuclear activation of materials by neutrons. Neutron activation can generate radionuclides [...] Read more.
Imaging detectors that use X-ray radiation and pulsed neutron sources have increased in sophistication in recent years due to the use of solid-state detectors. A key method for neutron detection is the nuclear activation of materials by neutrons. Neutron activation can generate radionuclides whose decay produces secondary particle emission that can be detected without interference from the X-rays and other prompt radiation sources and offers advantages over neutrons detection using scintillators. In this paper, we present the design of an imaging system for fast neutron sources. The imaging system utilizes a microcontroller network that communicates using a modified SPI protocol. This network communicates with an interface unit and passes an image to a personal computer. A computer program has been developed to reconstruct the image. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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12 pages, 2813 KiB  
Article
Social Media Monitoring: An Innovative Intelligent Approach
by Emmanouil Perakakis, George Mastorakis and Ioannis Kopanakis
Designs 2019, 3(2), 24; https://doi.org/10.3390/designs3020024 - 20 May 2019
Cited by 18 | Viewed by 13429
Abstract
Digital marketers have a range of tools at their disposal for understanding customers and prospects on social media. These tools allow for better social media monitoring and analysis through the provision of vital insights. The use of artificial intelligence (AI) to such analysis [...] Read more.
Digital marketers have a range of tools at their disposal for understanding customers and prospects on social media. These tools allow for better social media monitoring and analysis through the provision of vital insights. The use of artificial intelligence (AI) to such analysis enables for marketing tasks automation, accuracy improvement and human efforts reduction. In this respect, this paper proposes an AI-powered social media monitoring platform, which has been designed with an innovative approach, towards enabling digital marketers to better understand customers with intelligent insights in a manner like never before. The proposed platform helps by analyzing insights for effective online reputation management and competitors monitoring. In addition, this paper elaborates on contributions in respect to social media monitoring issues, mentions analysis uncovering knowledge, smarter insights and personalized advice to help in improving brands web and social presence, negative and positive conversations, competitors analysis ensuring brands are on top of the marketing game and social media strategy improvement. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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18 pages, 2919 KiB  
Article
Increasing Usability of Homecare Applications for Older Adults: A Case Study
by Christos Panagopoulos, Andreas Menychtas, Panayiotis Tsanakas and Ilias Maglogiannis
Designs 2019, 3(2), 23; https://doi.org/10.3390/designs3020023 - 9 May 2019
Cited by 20 | Viewed by 5517
Abstract
As the world’s population is ageing, the field dealing with technology adoption by seniors has made headway in the scientific community. Recent technological advances have enabled the development of intelligent homecare systems that support seniors’ independent living and allow monitoring of their health [...] Read more.
As the world’s population is ageing, the field dealing with technology adoption by seniors has made headway in the scientific community. Recent technological advances have enabled the development of intelligent homecare systems that support seniors’ independent living and allow monitoring of their health status. However, despite the amount of research to understand the requirements of systems designed for the elderly, there are still unresolved usability issues that often prevent seniors from enjoying the benefits that modern ICT technologies may offer. This work presents a usability assessment of “HeartAround”, an integrated homecare solution incorporating communication functionalities, as well as health monitoring and emergency response features. An assessment with the system usability scale (SUS) method, along with in-depth interviews and qualitative analysis, has provided valuable insights for designing homecare systems for seniors, and validated some effective practical guidelines. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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Review

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45 pages, 7931 KiB  
Review
An Overview of AI Methods for in-Core Fuel Management: Tools for the Automatic Design of Nuclear Reactor Core Configurations for Fuel Reload, (Re)arranging New and Partly Spent Fuel
by Ephraim Nissan
Designs 2019, 3(3), 37; https://doi.org/10.3390/designs3030037 - 15 Jul 2019
Cited by 17 | Viewed by 9710
Abstract
An important aspect of managing a nuclear reactor is how to design refuellings, and from the 1980s to the present different artificial intelligence (AI) techniques have been applied to this problem. A section of the reactor core resembles a symmetrical grid; long fuel [...] Read more.
An important aspect of managing a nuclear reactor is how to design refuellings, and from the 1980s to the present different artificial intelligence (AI) techniques have been applied to this problem. A section of the reactor core resembles a symmetrical grid; long fuel assemblies are inserted there, some of them new, some of them partly spent. Rods of “burnable poisons” dangle above, ready to be inserted into the core, in order to stop the reactor. Traditionally, manual design was made by shuffling positions in the grid heuristically, but AI enabled to automatically generate families of candidate configurations, under safety constraints, as well as in order to optimize combustion, with longer cycles of operation between shutdown periods, thus delaying the end-of-cycle point (except in France, where shutdown is on an annual basis, and Canada, where individual fuel assemblies are replaced, with no need for shutdown for rearranging the entire batch). Rule-based expert systems, the first being FUELCON,1 were succeeded by projects combining neural and rule-based processing (a symbolic-to-neural compilation of rules we did not implement), and later on, genetic algorithms in FUELGEN.2 In the literature, one also comes across the application of fuzzy techniques, tabu search, cellular automata and simulated annealing, as well as particle swarms. Safety regulations require simulating the results using a parameter prediction tool; this is done using either nodal algorithms, or neural processing. Full article
(This article belongs to the Special Issue Artificial Intelligence Supported Design and Innovation)
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