{"title":"Vectorising k-Truss Decomposition for Simple Multi-Core and SIMD Acceleration","authors":"Amir Mehrafsa, S. Chester, Alex Thomo","doi":"10.1109/IISA56318.2022.9904350","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904350","url":null,"abstract":"In this paper we tackle truss decomposition of large graphs, which is one of the popular tools for discovering dense hierarchical subgraphs in social and web networks; such subgraphs form the basis of community discovery, one of the cornerstones of modern graph analytics. Our goal is to offer a simple vectorisation approach which can be easily implemented in widely popular Python vector libraries, such as NumPy. This way has two advantages: (1) non-experts with basic knowledge of Python can implement our algorithm, and (2) they can obtain multi-threaded and SIMD parallelism “for free” without them needing to know about computer architecture or sophisticated C++ libraries for multi-threaded processing. We believe this is an important paradigm setting approach that opens the way for applying similar techniques to other problems that might seem at first remote to vectorisation and/or parallelisation.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127692552","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 Chroni, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos
{"title":"Digital Image Watermarking using Self Inverting Permutations - A Comparative Study","authors":"Maria Chroni, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos","doi":"10.1109/IISA56318.2022.9904398","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904398","url":null,"abstract":"In this work we present a comparative study of two watermarking techniques, both based on frequency domain transformations but differing on watermark construction. Many state-of-the-art approaches utilize binary images as watermarks. An alternative way of watermark construction, which incorporates error correction properties, proposes the transformation of an integer number w into a self-inverting permutation (SiP). SiP can be represented in a two dimensional (2D) object, since images are 2D structures, and that constitutes a watermark. Through this study, we highlight the importance of developing robust digital image watermarking systems through their operation in real attack scenarios. Moreover, through the conduction of a series of experiments required for the comparative study, there are provided further insights regarding the strengths and weaknesses of each approach. Several image sizes have been tested along with a range of evaluation metrics for imperceptibility evaluation. In addition, robustness of both of the techniques has also been confirmed by applying a variety of attacks on the resulting images.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122276560","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":"Question Answering Using Semantic Query Graphs: A Replication Study","authors":"Alexandru Ianta, Eleni Stroulia","doi":"10.1109/IISA56318.2022.9904390","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904390","url":null,"abstract":"Semantic methods for natural language question answering are better suited for domain-specific applications than their deep-learning counterparts because they can utilize domain-specific structured data and do not require the large training datasets typically necessary for deep learning. Zou et al. describe a method for RDF-based question answering in which the input question is transformed into a semantic query graph that is subsequently mapped to a subgraph of the domain knowledge graph containing the answer. In this work we replicate this approach and evaluate it using the Question Answering over Linked Data (QALD) dataset. Of the 131 relevant questions in this dataset, the method answers 41 questions, 23 of which are answered correctly, achieving an Fl-score of 0.201. Integration of state-of-the-art named entity recognition (NER) techniques provide a path forward for improving performance.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129142846","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}
Christos-Panagiotis Balatsouras, Aristeidis Karras, Christos N. Karras, D. Tsolis, S. Sioutas
{"title":"WiCHORD: A Chord Protocol Application on P2P LoRa Wireless Sensor Networks","authors":"Christos-Panagiotis Balatsouras, Aristeidis Karras, Christos N. Karras, D. Tsolis, S. Sioutas","doi":"10.1109/IISA56318.2022.9904339","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904339","url":null,"abstract":"On the modern era of Internet of Things (IoT) and Industry 4.0 there is a growing need for reliable wireless long range communications. LoRa is an emerging technology for effective long range communications which can be directly applied to IoT applications. Wireless sensor networks (WSNs) are by far an efficient infrastructure where sensors act as nodes and exchange information among themselves. Distributed applications such as Peer-to-Peer (P2P) networks are inextricably linked with Distributed Hash Tables (DHTs) whereabouts DHTs offer effective and speedy data indexing. A Distributed Hash Table structure known as the Chord algorithm enables the lookup operation of nodes which is a major algorithmic function of P2P networks. In the context of this paper, the inner workings of Chord protocol are highlighted along with an introduced modified version of it for WSNs. Additionally, we adapt the proposed method on LoRa networks where sensors function as nodes. The outcomes of the proposed method are encouraging as per complexity and usability and future directions of this work include the deployment of the proposed method in a large scale environment, security enhancements and distributed join, leave and lookup operations.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130682193","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":"Mobile student information services: A case study in Greek Open University","authors":"G. Kastanas, E. Sakkopoulos","doi":"10.1109/IISA56318.2022.9904343","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904343","url":null,"abstract":"The use of mobile devices is an integral part of our daily lives and they help us stay in touch with anything that interests and concerns us. This led to the emergence of the need for ubiquity, a term which is strongly associated with the modern world. Cutting edge software technologies have contributed a lot in this direction. This need is closely associated with the academic world which, by its very nature, requires constant and rapid exchange of information. To fulfill this demand, we developed a mobile application, which aims to provide ongoing information to the students of HOU (Hellenic Open University).This approach gives the opportunity to students to stay in touch with upcoming events, courses, posts and assignment grades. The functions of the application include automated user login procedures, background data fetching services and notifications features. Great importance was also given to securing the user’s credentials. An evaluation period followed the development of the application, during which students used the application and rated its features and performance. The feedback was great and the app’s user experience achieved a high score in system usability scale (SUS), i.e. 96.55%.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129173877","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}
Arne Koschel, Irina Astrova, Stephan-Tobias Alsleben, Jannis Bellok, Niklas Meyer, Sebastian Meyer
{"title":"Evaluating Time Series Database Management Systems for Insurance Company","authors":"Arne Koschel, Irina Astrova, Stephan-Tobias Alsleben, Jannis Bellok, Niklas Meyer, Sebastian Meyer","doi":"10.1109/IISA56318.2022.9904360","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904360","url":null,"abstract":"This paper provides the criteria and sources of information that an insurance company should consider when evaluating time series databases for its needs. The company wanted to select either QuestDB or Graphite in order to replace InfluxDB. Selecting a new database is an important process. Like any other successful database management system, the database selected today begins to define the legacy of the company’s future. There are many different parameters that can be used by the company to evaluate the time series database alternatives, and there is no single most correct process for conducting this evaluation. Not only are there many possible pertinent evaluation criteria, but there also is typically a degree of uncertainty about the requirements and characteristics of the target application environment. This paper focuses on evaluation criteria, with emphasis on horizontal scalability and performance.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147401","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}
Vasileios Triantafyllou, Konstantinos I. Kotsopoulos, D. Tsolis, Dimitrios Tsoukalos
{"title":"Practical Techniques for Aerial Photogrammetry, Polygon Reduction and Aerial 360 Photography for Cultural Heritage Preservation in AR and VR Applications","authors":"Vasileios Triantafyllou, Konstantinos I. Kotsopoulos, D. Tsolis, Dimitrios Tsoukalos","doi":"10.1109/IISA56318.2022.9904357","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904357","url":null,"abstract":"In this paper we present the methods and practical techniques we developed for the production of 3d models as end products to be used in Virtual Reality and Augmented Reality for Cultural Heritage applications as well as Aerial 360 Panoramic Images and virtual tour production for the project Digital Aitoloakarnania. We primarily focus on biased polygon reduction or polyreduction and procedural uv scaling techniques on polygonal models initially generated with photogrammetry.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126077359","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}
Celina Da Silva, A. Torres, B. Kapralos, Eva Peisachovich, C. Anyinam, S. Coffey, L. Graham, A. Dubrowski
{"title":"International Educated Nurse-Centered Virtual Serious Game","authors":"Celina Da Silva, A. Torres, B. Kapralos, Eva Peisachovich, C. Anyinam, S. Coffey, L. Graham, A. Dubrowski","doi":"10.1109/iisa56318.2022.9904347","DOIUrl":"https://doi.org/10.1109/iisa56318.2022.9904347","url":null,"abstract":"To address the education needs of International Educated Nurse (IEN) students in Ontario, Canada, we developed a freely available, open-access, editable virtual serious game (VSG) to teach entry to practice nursing competencies. IENs are an underutilized healthcare provider resource in Ontario and Canada in general. Most IENs are not successful in completing the Internationally Educated Nurses Competency Assessment Program (IENCAP); moreover, there are no open-access educational resources available from the College of Nurses of Ontario (CNO). The open-access VSG closed this gap and championed diversity and inclusivity while embracing IEN students’ voices to meet their learning needs and prepare them to practice as a Registered Nurse (RN) or Registered Practical Nurse (RPN) in Ontario. Additionally, the project supported ecampus Ontario and our universities vision for made-in Ontario digital tools for virtual learning, supportive education for labour market reskilling, lifelong learning, and global outreach.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127573896","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}
Elissaios Sarmas, Themistoklis Koutsellis, Christopher Ververidis, Thomas Papapolyzos, Stylianos Choumas, Anastasios Bitsikas, H. Doukas
{"title":"Comparison of Machine Learning Classifiers for Exchange Rate Trend Forecasting","authors":"Elissaios Sarmas, Themistoklis Koutsellis, Christopher Ververidis, Thomas Papapolyzos, Stylianos Choumas, Anastasios Bitsikas, H. Doukas","doi":"10.1109/IISA56318.2022.9904380","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904380","url":null,"abstract":"The market of foreign exchange is one of the largest markets worldwide. However, predicting the price of exchange currency pairs is a very difficult problem due to the fact that exchange rate time series demonstrate a highly non-linear and non-stationary behavior, being affected by a series of parameters which are difficult to model efficiently. This study attempts to compare five machine learning and neural network classifiers: Logistic Regression model, Support Vector Classifier, Gaussian Naive Bayes, Random Forest and Multi-layer Perceptron. The most highly correlated features are evaluated and compared for predicting the day ahead trend of the Euro-United States Dollar (EUR-USD) currency pair. Results indicate that model selection is not as significant as the combination of the most important features for the accuracy of the prediction.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122222326","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}
Ioannis Chrysakis, P. Papadakos, T. Patkos, G. Flouris, Georgios Samaritakis, Dimitris Angelakis, Nikoleta Tsampanaki, N. Basina, Pavlos Baritakis, Ariadne Pratikaki, Ilias Loulakakis, Bart Lyrarakis
{"title":"The MiB System: An interactive storytelling experience in the wine industry","authors":"Ioannis Chrysakis, P. Papadakos, T. Patkos, G. Flouris, Georgios Samaritakis, Dimitris Angelakis, Nikoleta Tsampanaki, N. Basina, Pavlos Baritakis, Ariadne Pratikaki, Ilias Loulakakis, Bart Lyrarakis","doi":"10.1109/IISA56318.2022.9904362","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904362","url":null,"abstract":"The wine industry has evolved over time to tackle the emerging needs of both wine professionals and consumers. Especially during the last decades, there is a growing need for transparency to ensure consumers buy safe, healthy, and environmentally-friendly food products. These details include for example information about the winemaking process, farm practices, or the prevailing weather conditions throughout the year. However, this kind of information does not exist in an integrated information system that could give additional value to both wine producers and consumers. In the frame of the MiB (Message-In-a-Bottle) project we developed an information system (called MiB) that exploits heterogeneous data (e.g., tracebility) from various sources (e.g., sensors, ERP systems) for creating a meaningful story for each wine label. The system is planned to go into the market through the Lyrarakis S.A. winery, one of the industry partners of the project. This paper describes the MiB system which offers a rich ecosystem of services and applications that provide: a) a storytelling-based presentation of wine labels (Main Application); b) wine suggestions based on a food selection, or vice-versa (Le Sommelier Application); c) an interactive authentication and counterfeit report mechanism for wine bottles (Authentication Application); d) an Augmented Reality experience (AR application); and e) a data entry tool (Admin UI Application). These functionalities constitute a robust and powerful tool for wine producers, professionals and consumers.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126275721","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}