S. Lycourghiotis, Vassiliki Mpelogianni, P. Groumpos
{"title":"Smart Cities and Intelligent Transportation in Traditional Cities. Ten Design Principles and One Case Study","authors":"S. Lycourghiotis, Vassiliki Mpelogianni, P. Groumpos","doi":"10.1109/IISA52424.2021.9555519","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555519","url":null,"abstract":"The integration of Intelligent Transport Systems (ITS) and Smart City (SC) technologies is by no means an easy process especially in cities that have been designed in the past and face multiple problems. The use of new technologies often proves ineffective without the simultaneous redesign of public transport, public spaces and city processes. With this paper, an attempt is made to crystallize ten design principles for the effective integration of new ITS and SC technologies in traditional cities. The central dimension of public space, urban pollution, access for pedestrians, cyclists and the disabled, anti-ghetto and decentralization renovations, waste management and public consultation are emphasized. Through the brief presentation of the conclusions, an attempt is made to reveal the philosophy of the proposed principles by suggesting an implementation plan for the city of Patras.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126958237","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}
Iliana Paliari, Aikaterini Karanikola, S. Kotsiantis
{"title":"A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting","authors":"Iliana Paliari, Aikaterini Karanikola, S. Kotsiantis","doi":"10.1109/IISA52424.2021.9555520","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555520","url":null,"abstract":"The term time series refers to historical data comprise of observations that are made in a fixed time step, successively, over a period of time. This work focuses on the training and application of modern Machine Learning approaches, like Deep Neural Network techniques, to model and predict general time series obtained from several open databases. The selection of the data that were used in the experiments was focused on specific economic and social phenomena, intending to predict their evolution over time. The main and final goal remains the comparison of the aforementioned predicting approaches, as well as the optimization of them in order to improve their accuracy.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126958256","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}
Konstantinos I. Kotsopoulos, M. Katsounas, A. Sofios, C. Skaloumbakas, Alexandros Papadopoulos, Athanasios Kanelopoulos
{"title":"VRESS: Designing a platform for the development of personalized Virtual Reality scenarios to support individuals with Autism.","authors":"Konstantinos I. Kotsopoulos, M. Katsounas, A. Sofios, C. Skaloumbakas, Alexandros Papadopoulos, Athanasios Kanelopoulos","doi":"10.1109/IISA52424.2021.9555542","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555542","url":null,"abstract":"In this study, VRESS, the designing of a platform for the development of personalized Virtual Reality scenarios to support individuals with Autism that would be able to practice and develop their social skills participating in selected Social Stories is presented. The platform will be integrated with biobehavioral monitoring modules through sensors such as heart rate and eye gaze recognition, offering multimodal interfaces that will offer important feedback so for the further customization of the scenarios as well as for the clinical research. The implementation methodology includes reiterative research and development cycles and participation of autistic people and their carers. The involvement of the beneficiaries and the contribution of their parents, educators as well as the expertise of psychologists, cognitive and social scientists are considered key to the success of this study.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122011909","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}
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, G. Tsihrintzis
{"title":"Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization","authors":"Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, G. Tsihrintzis","doi":"10.1109/IISA52424.2021.9555512","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555512","url":null,"abstract":"The doctrine of the “one size fits all” approach has been overcome in the field of disease diagnosis and patient management and has been replaced by a more per patient approach known as “personalized medicine”. Biomarkers are the key variables in the research and development of new methods of training prognostic models and neural networks in the scientific field of machine learning and artificial intelligence [1] [2]. Important biomarkers related to metabolism are the metabolites. Metabolomics refers to the systematic study of unique chemical fingerprints that are left behind by specific cellular processes. The metabolic profile can provide a snapshot of cell physiology and, by extension, metabolomics provide a direct “functional reading of the physiological state” of an organism. The goal of this paper is to employ current machine learning methodologies, specifically neural networks, to formulate a general evaluation chart of the nutritional biomarkers, to investigate how to best predict body mass index and to discover dietary patterns.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122090142","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}
{"title":"Data Mining for Targeted Inspections Against Undeclared Work by Applying the CRISP-DM Methodology","authors":"Eleni Alogogianni, M. Virvou","doi":"10.1109/IISA52424.2021.9555543","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555543","url":null,"abstract":"Undeclared work is a complex and explicitly hidden socio-economic problem that can take various forms and its consequences are substantial to states, employees and businesses. Thus, inspection authorities need to use their resources more effectively and cleverly to tackle this unlawful phenomenon successfully. This study presents the use of an advanced machine learning method – Associative Classification – through a data mining application following the CRISP-DM methodology, for more effective selection methods of on-site labour inspections against undeclared work. The study proves that the produced classifier can, on the one hand highly contribute in scheduling targeted inspections of increased efficiency and, on the other hand offer actionable and comprehensible knowledge to the labour inspectors regarding the employers’ illegal practices related to undeclared work and other labour law infringements.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125874051","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}
Rob Savaglio, J. Brown, B. Kapralos, Ann LeSage, Beatriz Franco Arellano, J. Hughes, Joanne Arcand
{"title":"Enhancing the accessibility of serious games: A case study with Foodbot Factory","authors":"Rob Savaglio, J. Brown, B. Kapralos, Ann LeSage, Beatriz Franco Arellano, J. Hughes, Joanne Arcand","doi":"10.1109/IISA52424.2021.9555496","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555496","url":null,"abstract":"Foodbot Factory, a nutrition-based serious game for students in grades 4-6, is intended to be used in Canadian classrooms and for online-learning. However, it was not developed with accessibility in mind, and must be updated to ensure it is inclusive and considers the needs of all learners. Plans for the implementation of these updates are discussed, detailing the use of in-game dialogue to facilitate user-customization.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127215668","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}
{"title":"Exploring Aspects Regarding Reasoning in Neuro-Symbolic Rules and Connectionist Expert Systems","authors":"J. Prentzas, I. Hatzilygeroudis","doi":"10.1109/IISA52424.2021.9555527","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555527","url":null,"abstract":"Neuro-symbolic approaches combine neural and symbolic methods. This paper explores aspects regarding the reasoning mechanisms of two neuro-symbolic approaches, that is, neurules and connectionist expert systems. Both of them provide reasoning and explanation facilities. Neurules are a type of neuro-symbolic rules tightly integrating the neural and symbolic components and giving pre-eminence to the symbolic component. Connectionist expert systems give pre-eminence to the connectionist component. The aspects explored in this paper have not been previously addressed. As far as neurules are concerned, an aspect playing a role in conflict resolution (i.e., order of neurules) is explored. Experimental results show an improvement in reasoning efficiency. As far as connectionist expert systems are concerned, variations of the reasoning mechanism are explored. Experimental results show that none of the alternative versions of the reasoning mechanism outperforms the others in all cases.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129134397","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}
{"title":"Optical Frequency Hopping Techniques for Secure Fiber-Optic networks","authors":"Charalampos Papapavlou, Konstantinos Paximadis, Giannis Tzimas, Ioanna Savelona","doi":"10.1109/IISA52424.2021.9555565","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555565","url":null,"abstract":"Optical networks’ physical layer is vulnerable to a variety of attacks, such as jamming, eavesdropping, and, finally, interception. Optical technology may have focused mainly on the more bandwidth race, but the issue of securing the physical layer needs the proper attention. In this paper we survey on recent progress in Optical Frequency Hopping (OFH) techniques used for securing fiber-optic networks and discuss up to date experimental demonstrations. Furthermore, we study on how this technique can effectively improve security for a variety of optical network technologies. Finally, we comment on OFH research challenges and address fields of possible future interest.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756538","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}
Márcio Mendonça, R. H. Palácios, E. Papageorgiou, I. R. Chrun, L. R. Cintra, Konstantinos Papageorgiou
{"title":"Applied Artificial Neural Networks and Genetic Algorithms in Simulation Strategy for Trajectory in Collaborative Robotic","authors":"Márcio Mendonça, R. H. Palácios, E. Papageorgiou, I. R. Chrun, L. R. Cintra, Konstantinos Papageorgiou","doi":"10.1109/IISA52424.2021.9555541","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555541","url":null,"abstract":"This work proposes a solution for collaborative robotics, presenting some precautions with this new perspective of robotics and norm, trajectory planning and observed singularities. Also, it compares techniques for solving three degrees-of-freedom (DOF) robotic manipulator inverse kinematics based on genetic algorithms (GAs) and artificial neural networks (ANNs). In addition, a decision tree was included to increase the arm motion's safety when an object appears in its trajectory, simulating an environment in which collaborative robots work side by side with human beings. Fifth-order polynomials were also compared in trajectory planning, and the analysis showed that the fifth-order polynomial presented a trajectory solution. According to the results obtained from ANN and GA performance, the efficacy of the proposed methodology was demonstrated. The proposed research study demonstrates unique potential, especially in initial 3D tests, providing robust results with a time-sufficient solution. To conclude this scientific investigation, conclusions and possible future developments of this research are summarized.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115352587","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}
A. Torres, B. Kapralos, C. Silva, Eva Peisachovich, A. Dubrowski
{"title":"A Scenario Editor to Create and Modify Virtual Simulations and Serious Games for Mental Health Education","authors":"A. Torres, B. Kapralos, C. Silva, Eva Peisachovich, A. Dubrowski","doi":"10.1109/IISA52424.2021.9555531","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555531","url":null,"abstract":"Despite the potential of virtual simulations and serious games in health care education, their development is not a trivial process. Typically, they focus on one virtual scenario (e.g., training for a particular health care condition) and do not allow the scenario to be modified simply. This paper presents an overview of a Scenario Editor that allows for developing new or modifying existing virtual simulations and serious game scenarios using a graphical user interface. Our focus in scenario design is currently on mental health education, where interactions occur between an avatar representing the patient and the trainee taking on the health care professional’s role. The Scenario Editor allows health care educators, who may have limited computer science/programming experience, to develop or modify customized virtual learning experiences intuitively.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125306175","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}