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Future Internet, Volume 12, Issue 7 (July 2020) – 6 articles

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Open AccessArticle
An IoT-Based Framework for Smart Water Supply Systems Management
Future Internet 2020, 12(7), 114; https://doi.org/10.3390/fi12070114 - 07 Jul 2020
Viewed by 97
Abstract
The world’s population growth and climate changes increase the demand for high-quality water. This fact forces humankind to create new water management strategies. Smart cities have successfully applied the Internet of Things (IoT) technology in many sectors. Moreover, Complex Event Processing (CEP) can [...] Read more.
The world’s population growth and climate changes increase the demand for high-quality water. This fact forces humankind to create new water management strategies. Smart cities have successfully applied the Internet of Things (IoT) technology in many sectors. Moreover, Complex Event Processing (CEP) can analyze and process large data sets produced by IoT sensors in real-time. Traditional business processes are too rigid in expressing the dynamic behavior of water supply systems. Every execution path must be explicitly specified. On the other hand, declarative business processes allow execution paths that are not prohibited by the rules, providing more flexibility for water supply managers. This paper joins together IoT, CEP, and declarative processes to create a powerful, efficient, and flexible architecture (REFlex Water) to manage water supply systems. To the knowledge of the authors, REFlex Water is the first solution to combine these technologies in the context of water supply systems. The paper describes the REFlex Water architecture and demonstrates its application to a real water system from a Brazilian municipality. Results are promising, and the managers from the Brazilian water company are expanding the use of REFlex Water to other sectors of their water supply system. Full article
(This article belongs to the Special Issue Internet of Things for Smart City Applications)
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Open AccessReview
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
Future Internet 2020, 12(7), 113; https://doi.org/10.3390/fi12070113 - 07 Jul 2020
Viewed by 150
Abstract
Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial Intelligence (AI) applications. Their ability to go beyond human precision has made these networks a milestone in the history of AI. However, while on the one hand they present [...] Read more.
Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial Intelligence (AI) applications. Their ability to go beyond human precision has made these networks a milestone in the history of AI. However, while on the one hand they present cutting edge performance, on the other hand they require enormous computing power. For this reason, numerous optimization techniques at the hardware and software level, and specialized architectures, have been developed to process these models with high performance and power/energy efficiency without affecting their accuracy. In the past, multiple surveys have been reported to provide an overview of different architectures and optimization techniques for efficient execution of Deep Learning (DL) algorithms. This work aims at providing an up-to-date survey, especially covering the prominent works from the last 3 years of the hardware architectures research for DNNs. In this paper, the reader will first understand what a hardware accelerator is, and what are its main components, followed by the latest techniques in the field of dataflow, reconfigurability, variable bit-width, and sparsity. Full article
(This article belongs to the collection Featured Reviews of Future Internet Research)
Open AccessArticle
A Study on Design Requirement Development and Satisfaction for Future Virtual World Systems
Future Internet 2020, 12(7), 112; https://doi.org/10.3390/fi12070112 - 06 Jul 2020
Viewed by 153
Abstract
Virtual worlds have become global platforms connecting millions of people and containing various technologies. For example, No Man’s Sky (nomanssky.com), a cross-platform virtual world, can dynamically and automatically generate content with the progress of user adventure. AltspaceVR (altvr.com) is a social virtual reality [...] Read more.
Virtual worlds have become global platforms connecting millions of people and containing various technologies. For example, No Man’s Sky (nomanssky.com), a cross-platform virtual world, can dynamically and automatically generate content with the progress of user adventure. AltspaceVR (altvr.com) is a social virtual reality platform supporting motion capture through Microsoft’s Kinect, eye tracking, and mixed reality extension. The changes in industrial investment, market revenue, user population, and consumption drive the evolution of virtual-world-related technologies (e.g., computing infrastructure and interaction devices), which turns into new design requirements and thus results in the requirement satisfaction problem in virtual world system architecture design. In this paper, we first study the new or evolving features of virtual worlds and emerging requirements of system development through market/industry trend analysis, including infrastructure mobility, content diversity, function interconnectivity, immersive environment, and intelligent agents. Based on the trend analysis, we propose a new design requirement space. We, then, discuss the requirement satisfaction of existing system architectures and highlight their limitations through a literature review. The feature-based requirement satisfaction comparison of existing system architectures sheds some light on the future virtual world system development to match the changing trends of the user market. At the end of this study, a new architecture from an ongoing research, called Virtual Net, is discussed, which can provide higher resource sufficiency, computing reliability, content persistency, and service credibility. Full article
(This article belongs to the Special Issue VR, AR, and 3-D User Interfaces for Measurement and Control)
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Open AccessArticle
Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics
Future Internet 2020, 12(7), 111; https://doi.org/10.3390/fi12070111 - 01 Jul 2020
Viewed by 249
Abstract
This paper presents a study related to human psychophysiological activity estimation based on a smartphone camera and sensors. In recent years, awareness of the human body, as well as human mental states, has become more and more popular. Yoga and meditation practices have [...] Read more.
This paper presents a study related to human psychophysiological activity estimation based on a smartphone camera and sensors. In recent years, awareness of the human body, as well as human mental states, has become more and more popular. Yoga and meditation practices have moved from the east to Europe, the USA, Russia, and other countries, and there are a lot of people who are interested in them. However, recently, people have tried the practice but would prefer an objective assessment. We propose to apply the modern methods of computer vision, pattern recognition, competence management, and dynamic motivation to estimate the quality of the meditation process and provide the users with objective information about their practice. We propose an approach that covers the possibility of recognizing pictures of humans from a smartphone and utilizes wearable electronics to measure the user’s heart rate and motions. We propose a model that allows building meditation estimation scores based on these parameters. Moreover, we propose a meditation expert network through which users can find the coach that is most appropriate for him/her. Finally, we propose the dynamic motivation model, which encourages people to perform the practice every day. Full article
(This article belongs to the Special Issue Recent Advances of Machine Learning Techniques on Smartphones)
Open AccessArticle
Investigating the Relationship between Personality and Technology Acceptance with a Focus on the Smartphone from a Gender Perspective: Results of an Exploratory Survey Study
Future Internet 2020, 12(7), 110; https://doi.org/10.3390/fi12070110 - 30 Jun 2020
Viewed by 248
Abstract
Prior research found that user personality significantly affects technology acceptance perceptions and decisions. Yet, evidence on the moderating influence of user gender on the relationship between personality and technology acceptance is barely existent despite theoretical consideration. Considering this research gap, the present study [...] Read more.
Prior research found that user personality significantly affects technology acceptance perceptions and decisions. Yet, evidence on the moderating influence of user gender on the relationship between personality and technology acceptance is barely existent despite theoretical consideration. Considering this research gap, the present study reports the results of a survey in which we examined the relationships between personality and technology acceptance from a gender perspective. This study draws upon a sample of N = 686 participants (n = 209 men, n = 477 women) and applied the HEXACO Personality Inventory—Revised along with established technology acceptance measures. The major result of this study is that we do not find significant influence of user gender on the relationship between personality and technology acceptance, except for one aspect of personality, namely altruism. We found a negative association between altruism and intention to use the smartphone in men, but a positive association in women. Consistent with this finding, we also found the same association pattern for altruism and predicted usage: a negative one in men and a positive one in women. Implications for research and practice are discussed, along with limitations of the present study and possible avenues for future research. Full article
(This article belongs to the Special Issue Selected Papers from the INSCI2019: Internet Science 2019)
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Open AccessArticle
Employing a Chatbot for News Dissemination during Crisis: Design, Implementation and Evaluation
Future Internet 2020, 12(7), 109; https://doi.org/10.3390/fi12070109 - 30 Jun 2020
Viewed by 499
Abstract
The use of chatbots in news media platforms, although relatively recent, offers many advantages to journalists and media professionals and, at the same time, facilitates users’ interaction with useful and timely information. This study shows the usability of a news chatbot during a [...] Read more.
The use of chatbots in news media platforms, although relatively recent, offers many advantages to journalists and media professionals and, at the same time, facilitates users’ interaction with useful and timely information. This study shows the usability of a news chatbot during a crisis situation, employing the 2020 COVID-19 pandemic as a case study. The basic targets of the research are to design and implement a chatbot in a news media platform with a two-fold aim in regard to evaluation: first, the technical effort of creating a functional and robust news chatbot in a crisis situation both from the AI perspective and interoperability with other platforms, which constitutes the novelty of the approach; and second, users’ perception regarding the appropriation of this news chatbot as an alternative means of accessing existing information during a crisis situation. The chatbot designed was evaluated in terms of effectively fulfilling the social responsibility function of crisis reporting, to deliver timely and accurate information on the COVID-19 pandemic to a wide audience. In this light, this study shows the advantages of implementing chatbots in news platforms during a crisis situation, when the audience’s needs for timely and accurate information rapidly increase. Full article
(This article belongs to the Special Issue Data Science and Knowledge Discovery)
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