Papers by Dimitrios Tzovaras
A Fuzzy Knowledge-based System for UV Exposure Management
Decentralising Access Control for IoT Environment
A Decentralized Secured Data sharing Framework for IoT Networks
Springer eBooks, 2022
Aiming to address the needs of the ageing workforce in the context of shift work, we introduce a ... more Aiming to address the needs of the ageing workforce in the context of shift work, we introduce a Participatory Work Orchestration Support Tool, with the aim of supporting decision making in deriving the periodic shift schedule of an organization. The proposed tool comprises two main components, an extensive and intuitive web-based platform that enables managers to gain an overview of their workforce and schedule, and an optimizing shift scheduler that works in the background to propose suggestions to the managers to improve scheduling, based on considerations of worker welfare and specifically targeting the ageing workforce. Preliminary testing of the tool in simulation yields encouraging results.
Journal of Alzheimer's Disease, Feb 16, 2021
Background: Electroencephalography (EEG) has been used to assess brain activity while users are p... more Background: Electroencephalography (EEG) has been used to assess brain activity while users are playing an immersive serious game. Objective: To assess differences in brain activation as measured with a non-intrusive wearable EEG device, differences in game performance and correlations between EEG power, game performance and global cognition, between cognitively impaired and non-impaired older adults, during the administration of a novel self-administered serious game-based test, the Virtual Supermarket Test (VST). Methods: 43 older adults with subjective cognitive decline (SCD) and 33 older adults with mild cognitive impairment (MCI) were recruited from day centers for cognitive disorders. Global cognition was assessed with the Montreal Cognitive Assessment (MoCA). Brain activity was measured with a non-intrusive wearable EEG device in a resting state condition and while they were administered the VST. Results: During resting state condition, the MCI group showed increased alpha, beta, delta, and theta band power compared to the SCD group. During the administration of the VST, the MCI group showed increased beta and theta band power compared to the SCD group. Regarding game performance, alpha, beta, delta, and theta rhythms were positively correlated with average duration, while delta rhythm was positively correlated with mean errors. MoCA correlated with alpha, beta, delta, and theta rhythms and with average game duration and mean game errors indicating that elevated EEG rhythms in MCI may be associated with an overall cognitive decline. Conclusion: VST performance can be used as a digital biomarker. Cheap commercially available wearable EEG devices can be used for obtaining brain activity biomarkers.
Improvement of the Workers’ Satisfaction and Collaborative Spirit Through Gamification
Lecture Notes in Computer Science, 2017
Supporting the use of technology into industrial environments is an issue of mass appeal within t... more Supporting the use of technology into industrial environments is an issue of mass appeal within the Industry 4.0 initiative, with a lot of promising research especially into interaction, production and training sections. In this paper, a Social Collaboration platform is introduced which creates an online community for workers as well as an Augmented Reality (AR) tool for production and training purposes both of which constitute gamified applications on which a customizable Gamification platform is applied according to impending needs. These tools have been implemented in order to become of daily use to employees in factories and incentivize them to promote collaboration, engagement, participation and work satisfaction. Every promoted industrial behavior can be described and awarded based on the offered rule engine. Thus, two gamified processes are offered regarding Social Collaboration and AR training to employees of industrial environments, so that an inference is drawn concerning participation, satisfaction and self-fulfillment. The use of the platforms is illustrated in this paper by two examples consisting one use case for a section in social collaboration and a second use case of training through AR.
Springer eBooks, 2022
Modern augmented and virtual reality (AR/VR) technology open multiple new capabilities in the way... more Modern augmented and virtual reality (AR/VR) technology open multiple new capabilities in the way people interact, collaborate and deliver or receive information via digital interfaces. Industry workers and operators may especially benefit from such solutions that allow them to get trained, onsite or remotely, using digital copies of the workplace environment. This paper presents the development of AR/VR-based collaborative and telepresence tools, along with a web-based platform for knowledge exchange and interaction, as part of the Ageing@Work project, that enable easy transfer of know-how from experienced (possibly older) to novice workers. The remote collaboration tools facilitate variability in location and working hours, and thus promote age-neutralizing means of participation and cooperation, whereas the knowledge transfer tools support the ageing worker's leadership characteristics within the workplace community, allowing the company or work site to capitalize on her/his experience and expertise gained through the years. The tools were developed in accordance to a user-centred design process and were evaluated by 126 participants in total through online surveys in two pilot sites with regard to core Industry 4.0 processes of mining and machines production, as well as through off-pilot studies. This paper presents analytic outcomes of the assessment of knowledge transfer tools illustrating very positive results on the level of technology acceptance, and the overall potential of the developed solutions to support healthy and productive ageing of workers with enhanced workability.
Applied Sciences
In this paper, an innovative approach concerning the investigation of the human heart is introduc... more In this paper, an innovative approach concerning the investigation of the human heart is introduced, employing state-of-the-art technologies. In particular, sophisticated algorithms were developed to automatically reconstruct a 3D model of a human heart based on DICOM data and to segment the main parts that constitute it. Regarding the reconstructed 3D model, a diagnosis of the examined patient can be derived, whereas in the present study, a clinical case involving the coarctation of the aorta was inspected. Moreover, numerical approaches that are able to simulate flows on complex shapes were considered. Thereupon, the outcomes of the computation analysis coupled with the segmented patient-specific 3D model were inserted in a virtual reality environment, where the clinicians can visualize the blood flow at the vessel walls and train on real-life medical scenarios, enhancing their procedural understanding prior to the actual operation. The physical model was 3D-printed via the MultiJ...
IEEE Journal of Translational Engineering in Health and Medicine
This work involved human subjects in its research. Approval of all ethical and experimental proce... more This work involved human subjects in its research. Approval of all ethical and experimental procedures and protocols was granted by the OCARIoT Ethical Board, composed of the local ethics committees at each pilot site (CEIC Hospital Clínico San Carlos-Spain, Lawyer and Ethics Advisor-Greece and UNIFOR Ethics Committee-Brazil). Besides, two independent and external Ethics Advisor per region (both Europe and Brazil) were appointed as experienced in the ethics of working with humans and data protection in a research project.
Zenodo (CERN European Organization for Nuclear Research), Jun 20, 2022
Anomaly detection is concerned with identifying rare events/ observations that differ substantial... more Anomaly detection is concerned with identifying rare events/ observations that differ substantially from the majority of the data. It is considered an important task in the energy sector to enable the identification of non-standard device conditions. The use of anomaly detection techniques in small-scale residential and industrial settings can provide useful insights about device health, maintenance requirements, and downtime, which in turn can lead to lower operating costs. There are numerous approaches for detecting anomalies in a range of application scenarios such as prescriptive appliance maintenance. This work reports on anomaly detection using a data set of fridge power consumption that operates on a near zero energy building scenario. We implement a variety of machine and deep learning algorithms and evaluate performances using multiple metrics. In the light of the present state of the art, the contribution of this work is the development of a inference pipeline that incorporates numerous methodologies and algorithms capable of producing high accuracy results for detecting appliance failures.
IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume
This paper will present a system designed to utilize innovative spatial interconnection technolog... more This paper will present a system designed to utilize innovative spatial interconnection technologies for multiple sites and events of environmental, cultural and tourist interests. The system will discover and consolidate semantic information from multiple sources, providing the end-user the ability to organize and implement integrated routes and enhanced tours. The system, called e-xnilatis, will use innovative methods and techniques, including: semi-automated searching and extraction of real-time knowledge from online resources, automated discovery of points of interest as well as events and traffic, semantic integration, classification and hierarchy of information from different sources, spatial representation of content, personalized user experience and Augmented Reality (AR) for the interconnection of the digital environment with the natural
KnE Social Sciences
This paper investigated the role of interactive tourist mobile apps in tourism development. The r... more This paper investigated the role of interactive tourist mobile apps in tourism development. The researchers presented the e-Tracer application, which was developed taking into consideration the recent advantages in mobile computing, the importance of user-generated content and the needs of northern Greece and the lower Balkan countries. Apart from crowd-based content creation, a new generation of apps for tourism development may include additional components like serious games for tourists, map-based navigation systems and augmented/virtual reality applications, in order to offer memorable user experiences for tourists. An agile content management system design methodology was followed by taking into account the needs of alternative tourist destinations, small to medium sized real-world museums and driver rest areas located around highways which connect cross-country destinations in the lower Balkan countries and Turkey. This work positioned the role of interactive crowd-enhanced pl...
Zenodo (CERN European Organization for Nuclear Research), Jun 20, 2022
Prescriptive maintenance has recently attracted a lot of scientific attention. It integrates the ... more Prescriptive maintenance has recently attracted a lot of scientific attention. It integrates the advantages of descriptive and predictive analytics to automate the process of detecting non nominal device functionality. Implementing such proactive measures in home or industrial settings may improve equipment dependability and minimize operational expenses. There are several techniques for prescriptive maintenance in diverse use cases, but none elaborates on a general methodology that permits successful prescriptive analysis for small size industrial or residential settings. This study reports on prescriptive analytics, while assessing recent research efforts on multi-domain prescriptive maintenance. Given the existing state of the art, the main contribution of this work is to propose a broad framework for prescriptive maintenance that may be interpreted as a high-level approach for enabling proactive buildings.
2019 First International Conference on Societal Automation (SA), 2019
Today's vehicles are increasingly "connected"; there is wireless data exchange with servers, infr... more Today's vehicles are increasingly "connected"; there is wireless data exchange with servers, infrastructure and other vehicles. Tomorrow's vehicles will be automated and autonomous, capable of sensing their environment and navigating through cities without human interference. Therefore, connected and autonomous vehicles come with the cost of a new set of threats pertaining to higher risks of cyberattacks. A cyber-attack in a Connected Vehicle (CV) can yield high recall costs, loss of property and even jeopardise human safety. Therefore, the need for cyber protection of CVs is becoming paramount. nIoVe introduces a holistic and multilayered cybersecurity solution for the Internet-of-Vehicles (IoV) by addressing secure-by-design aspects of CVs, along with cyber protection, threat response and attack recovery at vehicle, infrastructure and service/application layer of the whole IoV ecosystem at complex use cases.
Ubiquitous Computing and Ambient Intelligence, 2017
The GreenSoul (GS) framework aims to provide a low-cost energyefficient Information and Communica... more The GreenSoul (GS) framework aims to provide a low-cost energyefficient Information and Communications Technology (ICT) platform which seamlessly augments a traditional public-use building with a set of assets (apps, interactive interfaces, device adaptors, smart meters and a Decision Support Engine), which mediate in the interactions of users with their environments and the energy consuming devices or systems present in them. GreenSoul envisions public use buildings as ecosystems of GreenSoul-ed devices which cooperate with other devices, standard Smart Meters and, very importantly, with ecoeducated and eco-aware users to minimize the unnecessary energy consumption. GS architecture is supported by a socioeconomic behavioural model, which aids on behaviour understanding to turn energy consuming devices into active pro-sustainability agents that manifest to their surrounding users how well or badly they are being manipulated (energy-wise), offer tips about how to use them more efficiently and even adapt their own functioning to avoid energy waste.
2017 Global Internet of Things Summit (GIoTS), 2017
This paper presents the research objectives of the enCOMPASS project, which aims at implementing ... more This paper presents the research objectives of the enCOMPASS project, which aims at implementing and validating an integrated socio-technical approach to behavioural change for energy saving. To this end, innovative user-friendly digital tools will be developed to 1) make energy data consumption available and understandable for different types of users and stakeholders (household residents, office employees, school pupils, building managers, utilities, ICT providers) and to 2) empower them to collaborate in order to achieve energy savings and manage their energy needs in efficient, cost-effective and comfort-preserving ways. The project will demonstrate how this can be achieved with a novel approach that integrates user-centered visualisation of energy data from smart sensors and user-generated information with context-aware collaborative recommendations for energy saving, intelligent control and adaptive gamified incentives enabling effective and sustained behavioural change.
2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2019
The H2020 European research project GHOST-SafeGuarding Home IoT Environments with Personalised Re... more The H2020 European research project GHOST-SafeGuarding Home IoT Environments with Personalised Realtime Risk Control-aims to deploy a highly effective security framework for IoT smart home residents through a novel reference architecture for user-centric cyber security in smart homes providing an unobtrusive and user-comprehensible solution. The aforementioned security framework leads to a transparent cyber security environment by increasing the effectiveness of the existing cyber security services and enhancing system's self-defence through disruptive software-enabled network security solutions. In this paper, GHOST security framework for IoT-based smart homes is presented. It is aiming to address the security challenges posed by several types of attacks, such as network, device and software. The effective design of the overall multilayered architecture is analysed, with particular emphasis given to the integration aspects through dynamic and re-configurable solutions and the features provided by each one of the architectural layers. Additionally, real-life trials and the associated use cases are described showcasing the competences and potential of the proposed framework.
Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017
Human resources are one of the most important assets of an organization. The setup of a proper Hu... more Human resources are one of the most important assets of an organization. The setup of a proper Human Resource Management system undoubtedly represents one of the pillars upon which any organization should be built. Many effective standards and solutions have been proposed in the past decades. However, the ever changing environment and the emerging technologies, such as ontologies and linked data, lead to adapt them and consider new approaches. The solution proposed in this document aims to combine existing standards for manufacturing information and ontology modelling. As a result, the development of an ontology model enhancing the HR information flow with semantics, on the one hand, enables the use of common data formats and exchange protocols promoted by the world Wide Web Consortium (W3C) and exploitable on the Sematic Web. On the other hand, it lays the foundations for an automated decision making process based on inference rules and smart data management. A study has been performed in a real-life industry revealing highly notable results.
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2019
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Papers by Dimitrios Tzovaras