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Digital, Volume 1, Issue 4 (December 2021) – 4 articles

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25 pages, 339 KiB  
Review
Augmented Reality in Food Promotion and Analysis: Review and Potentials
by Georgios D. Styliaras
Digital 2021, 1(4), 216-240; https://doi.org/10.3390/digital1040016 - 04 Dec 2021
Cited by 11 | Viewed by 6465
Abstract
The paper presents the current state of using augmented reality (AR) in the sectors of food analysis and food promotion through products and orders. Based on an extensive literature review, 34 indicative augmented reality applications of various purposes, target audiences and implementations have [...] Read more.
The paper presents the current state of using augmented reality (AR) in the sectors of food analysis and food promotion through products and orders. Based on an extensive literature review, 34 indicative augmented reality applications of various purposes, target audiences and implementations have been selected and presented. Applications are research-based, commercial, or oriented just for entertainment. Eight classification criteria are defined, especially for these applications, and used for presenting them, including content, context, execution scenario, markers, devices supported, implementation details and appeals based on evaluation, downloads, or sales. Additionally, 16 implementation and supportive platforms that have been used in the presented applications are described. The paper discusses advantages and limitations of current applications leading to proposals of further use of augmented reality in these food sectors towards a uniform handling of all parameters related to food processing, from production until consumption. These parameters include content use, design considerations, implementation issues, use of AR markers, etc. Full article
18 pages, 722 KiB  
Article
Improving Readability of Online Privacy Policies through DOOP: A Domain Ontology for Online Privacy
by Dhiren A. Audich, Rozita Dara and Blair Nonnecke
Digital 2021, 1(4), 198-215; https://doi.org/10.3390/digital1040015 - 22 Nov 2021
Cited by 3 | Viewed by 3255
Abstract
Privacy policies play an important part in informing users about their privacy concerns by operating as memorandums of understanding (MOUs) between them and online services providers. Research suggests that these policies are infrequently read because they are often lengthy, written in jargon, and [...] Read more.
Privacy policies play an important part in informing users about their privacy concerns by operating as memorandums of understanding (MOUs) between them and online services providers. Research suggests that these policies are infrequently read because they are often lengthy, written in jargon, and incomplete, making them difficult for most users to understand. Users are more likely to read short excerpts of privacy policies if they pertain directly to their concern. In this paper, a novel approach and a proof-of-concept tool are proposed that reduces the amount of privacy policy text a user has to read. It does so using a domain ontology and natural language processing (NLP) to identify key areas of the policies that users should read to address their concerns and take appropriate action. Using the ontology to locate key parts of privacy policies, average reading times were substantially reduced from 29–32 min to 45 s. Full article
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10 pages, 1944 KiB  
Communication
Ωto_abR: A Web Application for the Visualization and Analysis of Click-Evoked Auditory Brainstem Responses
by Aristotelis Ballas and Panagiotis Katrakazas
Digital 2021, 1(4), 188-197; https://doi.org/10.3390/digital1040014 - 02 Oct 2021
Cited by 2 | Viewed by 3328
Abstract
Since its inception by Jewett and Williston in the late 1960s, the auditory brainstem response (ABR) has been an indispensable diagnostic tool, used by audiologists around the world. Click-evoked ABR testing proves to be a reliable tool, as it provides an objective representation [...] Read more.
Since its inception by Jewett and Williston in the late 1960s, the auditory brainstem response (ABR) has been an indispensable diagnostic tool, used by audiologists around the world. Click-evoked ABR testing proves to be a reliable tool, as it provides an objective representation of the auditory function, an estimate of hearing thresholds and the ability to pinpoint a potential issue in the auditory neural pathway. The present study describes state-of-the-art ABR analytics-related platforms and provides an overview of their functionality. In conjunction, we introduce the design and development of a newly developed, user-friendly web application, built in R language. This application provides several well-known and newly key characteristics for the analysis of ABR waveforms. These include absolute peak latencies, amplitudes, and interpeak latencies. Full article
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15 pages, 532 KiB  
Article
SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture
by Panagiotis Radoglou Grammatikis, Panagiotis Sarigiannidis, Christos Dalamagkas, Yannis Spyridis, Thomas Lagkas, Georgios Efstathopoulos, Achilleas Sesis, Ignacio Labrador Pavon, Ruben Trapero Burgos, Rodrigo Diaz, Antonios Sarigiannidis, Dimitris Papamartzivanos, Sofia Anna Menesidou, Giannis Ledakis, Achilleas Pasias, Thanasis Kotsiopoulos, Anastasios Drosou, Orestis Mavropoulos, Alba Colet Subirachs, Pol Paradell Sola, José Luis Domínguez-García, Marisa Escalante, Molinuevo Martin Alberto, Benito Caracuel, Francisco Ramos, Vasileios Gkioulos, Sokratis Katsikas, Hans Christian Bolstad, Dan-Eric Archer, Nikola Paunovic, Ramon Gallart, Theodoros Rokkas and Alicia Arceadd Show full author list remove Hide full author list
Digital 2021, 1(4), 173-187; https://doi.org/10.3390/digital1040013 - 30 Sep 2021
Cited by 22 | Viewed by 5014
Abstract
The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such [...] Read more.
The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid resiliency, taking full advantage of the Software-Defined Networking (SDN) technology. The proposed architecture called SDN-microSENSE architecture consists of three main tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing. The first tier is responsible for evaluating dynamically the risk level of each Smart Grid asset. The second tier undertakes to detect and correlate security events and, finally, the last tier mitigates the potential threats, ensuring in parallel the normal operation of the Smart Grid. It is noteworthy that all tiers of the SDN-microSENSE architecture interact with the SDN controller either for detecting or mitigating intrusions. Full article
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