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Dynamic Schedule Computation for Time-Aware Shaper in Converged IoT-Cloud Environments
No full textOver the last years, we have seen the emergence of (hyper-)distributed applications, which tend to be provisioned over resources that span IoT devices, IoT gateways, and compute nodes from edge computing infrastructures. The deployment and orchestration of such services benefits from types of IoT middleware, known as Virtual Objects (VOs). However, in order to reap the benefits of VOs, low-latency communication is required between the IoT devices and their associated VOs. To this end, we utilize Time-Sensitive Networking (TSN), which has paved the way for the timely delivery of delay-sensitive traffic. Our main contribution lies in the design and evaluation of a TSN scheduler, which is compliant with the Time-Aware Shaper (TAS). In this respect, we present a constraint programming formulation for the TSN scheduling problem at hand. A salient feature of the proposed TSN scheduler is its ability to compute the schedule periods both efficiently and at small time-scales. The latter is of crucial importance for dynamic conditions, where the association of IoT devices and their virtual counterparts is subject to change.182024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN
University Students Using ChatGPT in Project-Based Learning
No full textRecently, ChatGPT emerged as a disruptive technology that can also transform education. During a university course on e-commerce that is based on project-based learning, students were challenged to use ChatGPT in implementing their personal project. About half of the students chose to ask ChatGPT for help in constructing their questionnaire for their personal online market research survey. Only few of them asked ChatGPT a sequence of multiple revised prompts. These students achieved excellent grades in their projects. Students who used ChatGPT believed that it is an easy-to-use, useful, and helpful assistance. However, they would like extra training on how to efficiently use ChatGPT and other generative artificial intelligence tools.2247 CCIS2739Digital Transformation in Higher Education. Empowering Teachers and Students for Tomorrow’s Challenge
On Green Hydrogen Generation Technologies: A Bibliometric Review
No full textGreen hydrogen, produced by water electrolysis with renewable energy, plays a crucial role in the revolution towards energy sustainability, and it is considered a key source of clean energy and efficient storage. Its ability to address the intermittency of renewable sources and its potential to decarbonize sectors that are difficult to electrify make it a strategic component in climate change mitigation. By using a method based on a bibliometric review of scientific publications, this paper represents a significant contribution to the emerging field of research on green hydrogen and provides a detailed review of electrolyzer technologies, identifying key areas for future research and technology development. The results reflect the immaturity of a technology which advances with different technical advancements, waiting to find the optimal technical solution that allows for its massive implementation as a source of green hydrogen generation. According to the results found in this article, alkaline (ALK) and proton exchange membrane (PEM) electrolyzers seem to be the ones that interest the scientific community the most. Similarly, in terms of regional analysis, Europe is clearly committed to green hydrogen, in view of the analysis of its scientific results on materials and electrolyzer capacity forecasts for 2030.146252
ClusterSlice: A Zero-Touch Deployment Platform for the Edge Cloud Continuum
No full textWe demonstrate ClusterSlice, an open-source solution for automated Kubernetes-center deployments for the edge continuum. ClusterSlice is an infrastructure-as-a-service, platform-as-a-service, and application-as-a-service solution, supporting: (i) declarative deployment slice definitions; (ii) infrastructure-on-demand capabilities over multiple heterogeneous domains; (iii) composable Kubernetes deployments, supporting multi-clustering as well as various Kubernetes flavors and intra-cluster/inter-cluster network plugins; (iv) configurable application deployment; and (v) experimentation automation.1001022024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN
Exploring the Educational Potential of Augmented Reality
No full textAugmented reality (AR) has gained prominence recently due to rapid technological advancements. The increasing reliance on this technology has been accelerated by global events, such as the COVID-19 pandemic; however, its effectiveness in educational practices remains debatable. Based on an analysis of existing research, this paper discusses how AR has impacted educational processes, examining its effects on learning outcomes, advantages, challenges, and trends in educational settings. This paper provides insights for educators, policymakers, and technology developers to harness AR's full potential in education.2372382024 IEEE International Conference on Advanced Learning Technologies (ICALT) Proceeding
A bibliometric analysis of a top field journal in the economics of education
No full textBibliometric analysis, an approach introduced by the library and information sciences, attempts to unravel the relationships between a large number of scientific literature by using quantitative methods. Economics of Education Review was founded in 1981 to meet the needs of a growing number of research in the economics of education. The journal has evolved to become a top field journal that focuses on high quality research in an interdisciplinary field that combines educational studies and economics. It specializes in human capital production and the returns to human capital as well as in education policy and finance. We examine collaboration patterns using an approach introduced by the library and information sciences. The current research shows hidden patterns among scientific actors to offer a comprehensive understanding of the knowledge structure of this top field journal by employing network analysis such as bibliographic coupling, co-authorship and co-citation analysis. It also presents a thematic overview by analyzing author keyword co-occurrence and by classifying articles into six thematic clusters to highlight past themes and current trends in the field of economics of education. Our results suggest a shift in the focus of research, with more topics on measuring the impact of preschool programs, quality education, higher education attainment, gender, race and peer effects playing an important role in this area of scientific research.4018911
The Significance of CSR in the Pursuit of Business Excellence and Competitiveness: Evidence from the Greek Supermarket Industry
No full textA primary management concern when CSR is used as a tool to build business excellence is whether it will result in a discernible influence on the competitiveness of firms. This concern is more pronounced in the hypercompetitive, customer-centric grocery industry. Despite the existing body of research, no study has combined CSR’s effects on competitiveness and business excellence into a model. The current study proposes and validates a data-driven conceptual model that aims to assess whether the integration of CSR into supermarkets’ (S/Ms’) business excellence practices can enhance their competitiveness. Relationships among the validated constructs were examined using structural equation modeling. Findings indicated that the competitiveness of supermarkets can be enhanced by incorporating CSR into the process of pursuing business excellence, but CSR may be deprioritized in favor of more pressing performance-related issues. Large S/M firms could mentor and advocate for smaller stores and encourage CSR integration through government initiatives.1610400
A pragmatical approach to anomaly detection evaluation in edge cloud systems
No full textAnomaly detection (AD) has been recently employed in the context of edge cloud computing, e.g., for intrusion detection and identification of performance issues. However, state-of-the-art anomaly detection procedures do not systematically consider restrictions and performance requirements inherent to the edge, such as system responsiveness and resource consumption. In this paper, we attempt to investigate the performance of change-point based detectors, i.e., a class of lightweight and accurate AD methods, in relation to the requirements of edge cloud systems. Firstly, we review the theoretical properties of two major categories of change point approaches, i.e., Bayesian and cumulative sum (CUSUM), also discussing their suitability for edge systems. Secondly, we introduce a novel experimental methodology and apply it over two distinct edge cloud test-beds to evaluate the performance of such mechanisms in real-world edge environments. Our experimental results provide important insights and trade-offs for the applicability and the online performance of the selected change point detectors.16IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshop
Outlier detection in maritime environments using AIS data and deep recurrent architectures
No full textA methodology based on deep recurrent models for maritime surveillance, over publicly available Automatic Identification System (AIS) data, is presented in this paper. The setup employs a deep Recurrent Neural Network (RNN)-based model, for encoding and reconstructing the observed ships’ motion patterns. Our approach is based on a thresholding mechanism, over the calculated errors between observed and reconstructed motion patterns of maritime vessels. Specifically, a deep-learning framework, i.e. an encoder-decoder architecture, is trained using the observed motion patterns, enabling the models to learn and predict the expected trajectory, which will be compared to the effective ones. Our models, particularly the bidirectional GRU with recurrent dropouts, showcased superior performance in capturing the temporal dynamics of maritime data, illustrating the potential of deep learning to enhance maritime surveillance capabilities. Our work lays a solid foundation for future research in this domain, highlighting a path toward improved maritime safety through the innovative application of technology.420427Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024
Solar eclipses and the origins of critical thinking and complexity
No full textThis paper relates curiosity to economic development through its impact on human capital formation and technological advancement in pre-modern times. More specifically, we propose that exposure to inexplicable phenomena prompts curiosity and thinking in an attempt to comprehend these mysteries, thus raising human capital and technology, and, ultimately, fostering growth. We focus on solar eclipses as one particular trigger of curiosity and empirically establish a robust relationship between their number and several proxies of economic prosperity. We also offer evidence compatible with the human capital and technological increases we postulate, finding a more intricate thinking process and more developed technology among societies more exposed to solar eclipses. Among other factors, we study the development of written language, the playing of strategy games and the accuracy of folkloric explanations for eclipses, as well as the number of tasks undertaken in a society, their relative complexity and broad technological indicators. Lastly, we document rising curiosity both at the social and individual levels: societies incorporate more terms related to curiosity and eclipses in their folklore, and people who observed a total solar eclipse during their childhood were more likely to have entered a scientific occupation.1346601545157