Editorial

Dear Readers, It gives me great pleasure to announce the tenth regular issue of 2023. In this issue, various topical aspects of computer science are covered by 18 authors from 8 countries in 6 articles. As always, I would like to thank all the authors for their sound research and the editorial board for their highly valuable review effort and suggestions for improvement. These contributions, together with the generous support of the consortium members, sustain the quality of our journal. In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in receiving high-quality proposals for special issues on new topics and trends. Please consider yourself and encourage your colleagues to submit high-quality articles or special issue proposals for our journal. As we want to secure the financial support also for the years to come, we are looking for institutions and libraries to financially support our diamond open access journal as consortium members, who will then benefit from the research community, international visibility, and the opportunity to manage special issues and focused topics within the journal. Please think about the possibility of such financial participation by your institution, we would be very grateful for any kind of support. In this regular issue, I am very pleased to introduce the following 6 accepted articles: In a collaboration between researchers from Palestine and Jordan, Rasha R. Atallah, Ahmad Sami Al-Shamayleh, and Mohammed A. Awadallah look into the impact of plastic surgery on face recognition models and propose a model based on an artificial neural network with model-agnostic meta-learning (ANN-MAML) for plastic surgery face recognition which results in an accuracy of 90% in all evaluation experiments. In another research collaboration between colleagues from Tunisia and the Kingdom of Saudi Arabia, Samar Bouazizi, Emna Benmohamed, and Hela Ltifi propose in their article an advanced approach to recognize human emotions by using electroencephalogram (EEG) signals and focus their analysis on two specific classes of emotion recognition: H/L Arousal and H/L Valence. Anderson Melo de Morais, Fernando Antonio Aires Lins, and Nelson Souto Rosa from Brazil report on their survey on integration of consensus mechanisms into IoT-based blockchains, analyzing eight dimensions that help understand existing proposals: ease of integration, scalability, latency, throughput, power consumption, configuration issues, integrated algorithms, and adversary tolerance. In the next article Aymane Ezzaim, Aziz Dahbi, Abdelfatteh Haidine, and Abdelhak Aqqal from Morocco carry out a systematic mapping of the literature on AI-based adaptive learning environments and approaches. They examine 93 articles published between 2000 and 2022 and discuss the findings, including the types of AI algorithms used, the objectives targeted by these systems as well as the factors related to adaptation. Sergio-Daniel Sanchez-Solar, Gustavo Rodriguez-Gomez, and Jose Martinez-Carranza from México present their research on the control of a spherical robot rolling over irregular surfaces, which is achieved by controlling two motors for longitudinal and lateral motion in this non-holonomic system, and showed improvements by tuning the controller’s gains using stochastic signals for the longitudinal controller. Last but not least, Layse Santos Souza and Michel S. Soares from Brazil propose in their article the joint use of the SmartCitySysML with TCPN (Timed Coloured Petri Nets) to refine and formally model SysML diagrams that specify internal behavior, and then verify the developed model to prove behavioral properties of an urban traffic signal control system. Enjoy Reading! Cordially, Christian Gütl, Managing Editor Graz University of Technology, Graz, Austri

Editorial

Dear Readers, At the end of this year, it gives me great pleasure to announce the eleventh regular issue of 2023. In this issue, various topical aspects of computer science are covered in 6 articles by 18 authors from 7 countries (Argentina, Brazil, China, France, Germany, Spain, and Turkey). I would like to thank all the authors for their sound research and the editorial board for the highly valuable review effort and comments for improvement. These contributions, together with the generous support of the consortium members, sustain the quality of our journal. I am looking forward to continuing my work as Managing Editor-in-Chief with the J.UCS community. In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends. Please consider yourself and encourage your colleagues to submit high-quality articles or special issue proposals for our journal. Finally, we are looking for further financial support from potential consortium members to cover the costs of publishing the journal next year. In this regular issue, I am very pleased to introduce the following 6 accepted articles: F. Kebire Bardak, M. Nuri Seyman, and Feyzullah Temurtaş from Turkey present in their research a hybrid algorithm for emotion classification based on electroencephalogram signals, which is composed of a radial basis function neural network and a probabilistic neural network. In a collaborative research effort between Spain and France, Anita Herrera, Ángel Arroyo, Alfredo Jiménez and Álvaro Herrero conduct a comprehensive review of the different techniques and models with regard to Artificial Intelligence when applied to the tourism industry. In a collaboration between researchers from Brazil and Germany, Ana Cristina Alves de Oliveira, Marco Aurélio Spohn, Christof Fetzer, Le Quoc Do, and André Martin aim to address the cost problem of DaaS by developing a model that optimizes the cost of querying distributed data sources over virtual machines spread across multisite data centers. Herminia Beatriz Parra and Marcela Vegetti from Argentina present in their article OntoFoCE, Ontology for Electronic Mail Forensics, which is a specific ontology for the forensic analysis of emails to help the computer expert in validating an email presented as judicial evidence. Valdicélio Santos and Michel S. Soares from Brazil propose a framework, and then the design and further evaluation of a web-based application to support software architects in using the activities and tasks of the architecture conceptualization clause based on the ISO/IEC/IEEE 42020 framework. Last but not least, Yunwu Xu and Yan Li from China contribute to the improvement of an existing wireless sensor network coverage optimization method which is based on the pigeon-inspired optimization algorithm. Season greetings to all of you, relaxing holidays and ‘Enjoy Reading’! Cordially, Christian Gütl, Managing Editor Graz University of Technology, Graz, Austri

Identifying immersive environments’ most relevant research topics: an instrument to query researchers and practitioners

This paper provides an instrument for ascertaining researchers’ perspectives on the relative relevance of technological challenges facing immersive environments in view of their adoption in learning contexts, along three dimensions: access, content production, and deployment. It described its theoretical grounding and expert-review process, from a set of previously-identified challenges and expert feedback cycles. The paper details the motivation, setup, and methods employed, as well as the issues detected in the cycles and how they were addressed while developing the instrument. As a research instrument, it aims to be employed across diverse communities of research and practice, helping direct research efforts and hence contribute to wider use of immersive environments in learning, and possibly contribute towards the development of news and more adequate systems.The work presented herein has been partially funded under the European H2020 program H2020-ICT-2015, BEACONING project, grant agreement nr. 687676.info:eu-repo/semantics/publishedVersio

Editorial

Dear Readers, It gives me great pleasure to announce the third regular issue of 2023. In this issue, 4 papers by 11 authors from 5 countries cover various topical aspects of computer science. In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends. As always, I would like to thank all the authors for their sound research and the editorial board for their extremely valuable review effort and suggestions for improvement. These contributions, together with the generous support of the consortium members, sustain the quality of our journal. In the third regular issue, I am very pleased to introduce the following 4 accepted articles: Gerardo Matturro from Uruguay reports on his research findings on undergraduate software engineering over a seven-year period, specifically on students' motivation to participate in research projects, skills acquired, and their perceptions of benefits. Uma Priya D and P. Santhi Thilagam from India propose an approach to cluster heterogeneous JSON documents using the similarity fusion method based on structural, semantic and contextual measures of JSON schemas. Zeinab Rahimi and Mehrnoush Shamsfard from Iran present a hybrid contradiction detection approach that can detect seven categories of contradictions in Persian texts: Antonymy, negation, numerical, factive, structural, lexical and world knowledge, which is based on a novel data mining method and a transformer-based deep neural method for contradiction detection. In their joint research between Estonia, Spain and India, Shashi Kant Shankar, Adolfo Ruiz-Calleja, Luis P. Prieto, María Jesús Rodríguez-Triana, Pankaj Chejara, and Sandesh Tripathi discuss a modular and modifiable infrastructure for data preparation, organization, and fusion to partially support the development of context-aware multimodal learning analytics solutions. Enjoy Reading!Cordially,&nbsp

Editorial

Dear Readers, It gives me great pleasure to announce the fourth regular issue of 2023. I would like to thank all the authors for their sound research papers and the editorial board and our guest reviewers for their extremely valuable reviews and suggestions for improvement. These contributions and the generous support of the consortium members enable us to run our journal and maintain its quality. I would also like to thank our broader community for reading and incorporating sound J.UCS papers into their research. Still, I would like to expand our editorial board: If you are a tenured associate professor or above with a good publication record, please apply to join our editorial board. We are also interested in receiving high-quality proposals for special issues on new topics and emerging trends. In this regular issue, I am very pleased to introduce five accepted papers involving 14 authors from four different countries.Seyedeh Mahsa Mirhoseini-Moghaddam, Mohammad Reza Yamaghani and Adel Bakhshipour from Iran look into fraud detection for Olive oil by applying smell and sight sensors resulting in an accurate, fast and non-destructive detection of adulteration in extra virgin olive oil. Fahimeh Ramazankhani, Mahdi Yazdian-Dehkordi and Mehdi Rezaeian report their research on kinship verification by analysing facial features based on various texture and color features and metric learning methods. Stefan Strydom, Andrei Michael Dreyer and Brink van der Merwe from South Africa contribute in their research to the International Classification of Disease (ICD) coding based on a transformer model applied to hospital discharge summaries. Fernando Terroso-Saenz and Andres Muñoz from Spain present their research on human mobility prediction using a long short-term memory and Gated Recurrent Unit neural network based on geo-data from cellular phones combined with data from road traffic sensors. Shefali Varshney, Rajinder Sandhu and P. K. Gupta from India report their research on cost-effective scheduling in fog computing based on the modified PROMETHEE technique. Enjoy Reading! Cordially, Christian Gütl, Managing Editor&nbsp

EmbodiMentor: a science fiction prototype to embody different perspectives using augmented reality

Conferência realizada na UTAD, Vila Real, de 1-3 de dezembro de 2016This paper describes the EmbodiMentor, an interaction concept and metaphor that aims to enable users to embody a different person or character’s perspective, specify or modify his/her/its emotional elements and conditioning elements, and experience the resulting changes. Its use case scenario is the education and training of foreign languages and intercultural communication skills, were contextualization and first person experiences in common settings are key for practical skill acquisitions. It was born as the micro-science-fiction prototype “Frances can’t sleep. She crawls out of bed and with her EmbodiMentor runs through a range of a client’s emotional states, pitching to each one. She then falls asleep.” The application of the science fiction prototyping concept has been proven a strong approach to develop and investigate innovative applications of emerging technologies.info:eu-repo/semantics/publishedVersio