D. Koukopoulos, Panagiotis Dafiotis, Stella Sylaiou, Konstantinos Koukoulis, C. Fidas
A successful system design may lead to a successfully implemented system. This paper demonstrates the followed evaluation procedure for the creation of a system dedicated to art schools. Specifically, we focus on meeting the needs of art teachers, art students, and visitors who are the stakeholders of such a system. Art teachers need to be able to initiate art exhibitions for their students and assess them, art students to create virtual exhibitions, and art exhibition visitors to have immersive and interactive experiences. This evaluation is a part of an EU-funded research project, namely CREAMS which aims to design, develop end evaluate a framework and open-source tools based on virtual, augmented, and mixed reality for the creation of virtual exhibitions for art students. Here, we present the followed user-centered design methodology that we followed to reach the first system design. The methodology begins with the literature review and continues with the filtering of review findings by experts, the creation of the corresponding mockups, the evaluation of the mockups by the end users, the specification of quantitative and qualitative metrics on employing XR technologies in Higher Education Institutions and concludes with the identification of a set of specifications that drives the development of a specific conceptual system design.
{"title":"Evaluating the Design of an Art Student Framework Supporting XR Exhibitions: Evaluating an Art Student Framework","authors":"D. Koukopoulos, Panagiotis Dafiotis, Stella Sylaiou, Konstantinos Koukoulis, C. Fidas","doi":"10.1145/3575879.3576003","DOIUrl":"https://doi.org/10.1145/3575879.3576003","url":null,"abstract":"A successful system design may lead to a successfully implemented system. This paper demonstrates the followed evaluation procedure for the creation of a system dedicated to art schools. Specifically, we focus on meeting the needs of art teachers, art students, and visitors who are the stakeholders of such a system. Art teachers need to be able to initiate art exhibitions for their students and assess them, art students to create virtual exhibitions, and art exhibition visitors to have immersive and interactive experiences. This evaluation is a part of an EU-funded research project, namely CREAMS which aims to design, develop end evaluate a framework and open-source tools based on virtual, augmented, and mixed reality for the creation of virtual exhibitions for art students. Here, we present the followed user-centered design methodology that we followed to reach the first system design. The methodology begins with the literature review and continues with the filtering of review findings by experts, the creation of the corresponding mockups, the evaluation of the mockups by the end users, the specification of quantitative and qualitative metrics on employing XR technologies in Higher Education Institutions and concludes with the identification of a set of specifications that drives the development of a specific conceptual system design.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126990861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Educational Data Mining tools exploit the data automatically logged in e-learning platforms such as moodle to address a variety of education-related questions including the (early) prediction and visualization of student participation and performance data. Efficient tools are available to these ends; they offer a wide spectrum of functionalities at the cost of certain limitations or constraints. A synergistic approach that uses more than one tool is therefore proposed in this paper to answer the double need of the teacher for visualization of current and prediction of future student participation and performance outcomes. Moreover, the feasibility of early and accurate prediction is investigated through a case study on a postgraduate course semester module, aiming at an early warning system for students at risk of failure. Case study results indicate that timely and accurate prediction is possible early enough in the semester to allow enough time for supportive measures within the same term. The combined use of tools can also offer a multi-faceted visualization that dynamically monitors variables of interest at the individual and the class level, including current performance data that feed prediction. More research is certainly necessary, however, to offer to the teachers – end users tools with truly user-friendly interfaces.
{"title":"Educational Data Mining-based visualization and early prediction of student performance: a synergistic approach","authors":"Vissarion Siafis, M. Rangoussi","doi":"10.1145/3575879.3576000","DOIUrl":"https://doi.org/10.1145/3575879.3576000","url":null,"abstract":"Educational Data Mining tools exploit the data automatically logged in e-learning platforms such as moodle to address a variety of education-related questions including the (early) prediction and visualization of student participation and performance data. Efficient tools are available to these ends; they offer a wide spectrum of functionalities at the cost of certain limitations or constraints. A synergistic approach that uses more than one tool is therefore proposed in this paper to answer the double need of the teacher for visualization of current and prediction of future student participation and performance outcomes. Moreover, the feasibility of early and accurate prediction is investigated through a case study on a postgraduate course semester module, aiming at an early warning system for students at risk of failure. Case study results indicate that timely and accurate prediction is possible early enough in the semester to allow enough time for supportive measures within the same term. The combined use of tools can also offer a multi-faceted visualization that dynamically monitors variables of interest at the individual and the class level, including current performance data that feed prediction. More research is certainly necessary, however, to offer to the teachers – end users tools with truly user-friendly interfaces.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125790410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Poli, S. Nomikos, D. Papachristos, Konstantinos Malagas
Today's technology dominates and influences every aspect of daily life. People with disabilities (PwD) benefit from new technologies and enjoy high-quality services according to their needs. The shopping experience of those people is essential and significantly influences their well-being and new technologies contribute to this issue. The objective of the current research is the examination of PwD's behaviors toward smart packaging use and in general the acceptance of technology in the shopping of products (inside and outside the home). The study was applied in Greek reality. The snowball sampling method was used to easily reach more participants. A questionnaire was used to collect the study's data and these were analyzed using descriptive and inductive statistics (the latter to examine the relationships between variables). The study is focused on the following three (3) groups and the sample sizes: (a) Deaf (n=108), (b) Blind (n=96), and (c) People with physical disabilities (n=105). The study found that PwD tends to accept technology for shopping and use smart packaging, although they face significant accessibility and autonomy problems in shopping areas (e.g. supermarkets). In addition, some demographics and other variables (gender, solar generation, sign - communication & reading (deaf), work occupation (blind), and ability to drive (deaf)) impact the shopping experience of PwD. The current study provides useful insights for practitioners and academicians to improve their relevant knowledge.
{"title":"Evaluation of the Relationship between the Smart Packaging Technology and Disability in Greece","authors":"Maria Poli, S. Nomikos, D. Papachristos, Konstantinos Malagas","doi":"10.1145/3575879.3575969","DOIUrl":"https://doi.org/10.1145/3575879.3575969","url":null,"abstract":"Today's technology dominates and influences every aspect of daily life. People with disabilities (PwD) benefit from new technologies and enjoy high-quality services according to their needs. The shopping experience of those people is essential and significantly influences their well-being and new technologies contribute to this issue. The objective of the current research is the examination of PwD's behaviors toward smart packaging use and in general the acceptance of technology in the shopping of products (inside and outside the home). The study was applied in Greek reality. The snowball sampling method was used to easily reach more participants. A questionnaire was used to collect the study's data and these were analyzed using descriptive and inductive statistics (the latter to examine the relationships between variables). The study is focused on the following three (3) groups and the sample sizes: (a) Deaf (n=108), (b) Blind (n=96), and (c) People with physical disabilities (n=105). The study found that PwD tends to accept technology for shopping and use smart packaging, although they face significant accessibility and autonomy problems in shopping areas (e.g. supermarkets). In addition, some demographics and other variables (gender, solar generation, sign - communication & reading (deaf), work occupation (blind), and ability to drive (deaf)) impact the shopping experience of PwD. The current study provides useful insights for practitioners and academicians to improve their relevant knowledge.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to study the energy efficiency optimization techniques applied to the design and architecture of wireless cellular networks to achieve the reduction of gas emissions in the environment and the improvement of the energy efficiency of mobile networks. The urgent need to reduce energy consumption and protect the environment have now oriented research into new techniques for optimizing the energy efficiency of wireless networks and are a key factor in their design and implementation
{"title":"Optimization techniques for the energy efficiency of wireless networks","authors":"K. Mavrommatis","doi":"10.1145/3575879.3575986","DOIUrl":"https://doi.org/10.1145/3575879.3575986","url":null,"abstract":"This paper aims to study the energy efficiency optimization techniques applied to the design and architecture of wireless cellular networks to achieve the reduction of gas emissions in the environment and the improvement of the energy efficiency of mobile networks. The urgent need to reduce energy consumption and protect the environment have now oriented research into new techniques for optimizing the energy efficiency of wireless networks and are a key factor in their design and implementation","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124333437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Georgios Roussos, John Aliprantis, Georgios Alexandridis, G. Caridakis
Augmented Reality technologies can be considered to be a fascinating choice for educators seeking resources and methods to stimulate their students about the topic they teach. In recent years, the increasing number of relevant educational applications indicates that this new technology has the potential of becoming a leading educational method in schools and universities. The current work overviews the importance and impact of this technology in widening primary students’ knowledge and how it can be used by teachers worldwide to motivate and broaden educational horizons. Furthermore, this work examines a wide number of augmented reality applications for the Android mobile operating system, available online for educational purposes and analyzes the ways in which they can be helpful for schoolteachers, lecturers, and parents.
{"title":"Augmented Reality in Primary Education: Adopting the new normal in learning by easily using AR-based Android applications","authors":"Georgios Roussos, John Aliprantis, Georgios Alexandridis, G. Caridakis","doi":"10.1145/3575879.3576016","DOIUrl":"https://doi.org/10.1145/3575879.3576016","url":null,"abstract":"Augmented Reality technologies can be considered to be a fascinating choice for educators seeking resources and methods to stimulate their students about the topic they teach. In recent years, the increasing number of relevant educational applications indicates that this new technology has the potential of becoming a leading educational method in schools and universities. The current work overviews the importance and impact of this technology in widening primary students’ knowledge and how it can be used by teachers worldwide to motivate and broaden educational horizons. Furthermore, this work examines a wide number of augmented reality applications for the Android mobile operating system, available online for educational purposes and analyzes the ways in which they can be helpful for schoolteachers, lecturers, and parents.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eleni Boumpa, Vasileios Tsoukas, Vasileios Chioktour, M. Kalafati, G. Spathoulas, Athanasios Kakarountas
This paper presents the work conducted on providing an efficient solution to the Vehicle Routing Problem considering all stages of a delivery process. The results are promising when compared to real-life data and depict the benefits of the application of ML algorithms in all stages of the process. A platform capable to monitor the various stages of the process was developed, and a number of ML models were incorporated to provide the best solution to a multiobjective problem. The results indicate on average a maximum of 25% distance saving, and a maximum of 14% regarding the total delivery time.
{"title":"Smart Delivery for Goods Exploiting ML Algorithms","authors":"Eleni Boumpa, Vasileios Tsoukas, Vasileios Chioktour, M. Kalafati, G. Spathoulas, Athanasios Kakarountas","doi":"10.1145/3575879.3576009","DOIUrl":"https://doi.org/10.1145/3575879.3576009","url":null,"abstract":"This paper presents the work conducted on providing an efficient solution to the Vehicle Routing Problem considering all stages of a delivery process. The results are promising when compared to real-life data and depict the benefits of the application of ML algorithms in all stages of the process. A platform capable to monitor the various stages of the process was developed, and a number of ML models were incorporated to provide the best solution to a multiobjective problem. The results indicate on average a maximum of 25% distance saving, and a maximum of 14% regarding the total delivery time.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130694343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evanthia Sdoukou, A. Milidonis, Dimitrios Psilias, Konstantinos Efstathiou, I. Voyiatzis
The use of Unmanned Aerial Vehicles (UAVs) is growing at a fast pace, as they tend to play an important role in areas such as surveillance, delivery of goods, etc. Τhis is mainly based on their ability to perform flights at low cost with fast deployment. Moreover, they can transmit data produced by embedded sensors and carry packages of different size and weight. Based on these characteristics, the approach of building custom UAVs, for different applications is very common. Since each application requires specific hardware for the UAVs’ efficient operation, the selection of the appropriate parts is not an easy task. In this paper, all the necessary information of the basic UAV hardware parts is presented. Using this information, an approach is suggested, for selecting the most suited hardware parts for the most common application domains.
{"title":"Hardware Selection Approach For Custom UAVs","authors":"Evanthia Sdoukou, A. Milidonis, Dimitrios Psilias, Konstantinos Efstathiou, I. Voyiatzis","doi":"10.1145/3575879.3575978","DOIUrl":"https://doi.org/10.1145/3575879.3575978","url":null,"abstract":"The use of Unmanned Aerial Vehicles (UAVs) is growing at a fast pace, as they tend to play an important role in areas such as surveillance, delivery of goods, etc. Τhis is mainly based on their ability to perform flights at low cost with fast deployment. Moreover, they can transmit data produced by embedded sensors and carry packages of different size and weight. Based on these characteristics, the approach of building custom UAVs, for different applications is very common. Since each application requires specific hardware for the UAVs’ efficient operation, the selection of the appropriate parts is not an easy task. In this paper, all the necessary information of the basic UAV hardware parts is presented. Using this information, an approach is suggested, for selecting the most suited hardware parts for the most common application domains.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132997371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agriculture is a high-priority sector since it creates economic opportunities and generates the majority of the world’s food. In 2050, agricultural products will be in exceptionally high demand due to a 30% increase in the world’s population. Human resources for agriculture development are disappearing as young people migrate to major cities, while agricultural land is being abused for rapid expansion. To satisfy the food demand, the major portion of agricultural tasks must be automated. Agricultural research has revealed that the Internet of Things (IoT) technology might be the future of modern and automated agriculture research. The aforementioned technology faces a number of common obstacles, including internet requirements, data transfer, and privacy concerns. TinyML is an emerging technology that delivers low-cost and highly efficient devices capable of locally running complex machine learning models and neural networks, while overcoming the majority of the aforementioned IoT issues. As a comprehensive solution for autonomously watering plants, a TinyML-based system capable of monitoring ambient conditions and plants’ soil moisture is presented in this work.
{"title":"A TinyML-based System For Smart Agriculture","authors":"Vasileios Tsoukas, Anargyros Gkogkidis, Athanasios Kakarountas","doi":"10.1145/3575879.3575994","DOIUrl":"https://doi.org/10.1145/3575879.3575994","url":null,"abstract":"Agriculture is a high-priority sector since it creates economic opportunities and generates the majority of the world’s food. In 2050, agricultural products will be in exceptionally high demand due to a 30% increase in the world’s population. Human resources for agriculture development are disappearing as young people migrate to major cities, while agricultural land is being abused for rapid expansion. To satisfy the food demand, the major portion of agricultural tasks must be automated. Agricultural research has revealed that the Internet of Things (IoT) technology might be the future of modern and automated agriculture research. The aforementioned technology faces a number of common obstacles, including internet requirements, data transfer, and privacy concerns. TinyML is an emerging technology that delivers low-cost and highly efficient devices capable of locally running complex machine learning models and neural networks, while overcoming the majority of the aforementioned IoT issues. As a comprehensive solution for autonomously watering plants, a TinyML-based system capable of monitoring ambient conditions and plants’ soil moisture is presented in this work.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128518243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The massive release of software products has led to critical incidents in the software industry due to low-quality software. Software engineers lack security knowledge which causes the development of insecure software. Traditional solutions for analysing code for vulnerabilities suffer from high false positives and negative rates. Researchers over the last decade have proposed mechanisms for analysing code for vulnerabilities using machine learning. The results are promising and could replace traditional static analysis tools or accompany them in the foreseeable future to produce more reliable results. This survey presents the work done so far in vulnerability detection using Graph Neural Networks (GNNs). Presents the GNNs architectures, the graph representations, the datasets, and the results of these studies.
{"title":"A Survey on Vulnerability Prediction using GNNs","authors":"Evangelos Katsadouros, C. Patrikakis","doi":"10.1145/3575879.3575964","DOIUrl":"https://doi.org/10.1145/3575879.3575964","url":null,"abstract":"The massive release of software products has led to critical incidents in the software industry due to low-quality software. Software engineers lack security knowledge which causes the development of insecure software. Traditional solutions for analysing code for vulnerabilities suffer from high false positives and negative rates. Researchers over the last decade have proposed mechanisms for analysing code for vulnerabilities using machine learning. The results are promising and could replace traditional static analysis tools or accompany them in the foreseeable future to produce more reliable results. This survey presents the work done so far in vulnerability detection using Graph Neural Networks (GNNs). Presents the GNNs architectures, the graph representations, the datasets, and the results of these studies.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131292078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This publication aims to study the attacks that telecommunications networks face every day. Thus, the tools that have been developed through new technologies are presented in detail in order to successfully deal with these attacks. Some of these tools are more effective and others less effective depending on the form of attack. As a conclusion is that very significant steps have been taken in confronting with attacks by intruders by introducing a new and wide field of study in the networks.
{"title":"Confronting and intrusion detection techniques of cyber-attacks in wired and wireless communication networks","authors":"K. Mavrommatis","doi":"10.1145/3575879.3576007","DOIUrl":"https://doi.org/10.1145/3575879.3576007","url":null,"abstract":"This publication aims to study the attacks that telecommunications networks face every day. Thus, the tools that have been developed through new technologies are presented in detail in order to successfully deal with these attacks. Some of these tools are more effective and others less effective depending on the form of attack. As a conclusion is that very significant steps have been taken in confronting with attacks by intruders by introducing a new and wide field of study in the networks.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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