Georgios Kormpakis, Panagiotis Kapsalis, Konstantinos A. Psilopanagiotis, Sotiris Pelekis, Evangelos Karakolis, H. Doukas
{"title":"An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics","authors":"Georgios Kormpakis, Panagiotis Kapsalis, Konstantinos A. Psilopanagiotis, Sotiris Pelekis, Evangelos Karakolis, H. Doukas","doi":"10.1109/IISA56318.2022.9904353","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904353","url":null,"abstract":"One of the main challenges of today’s societies is the avoidance of the climate change since the climate crisis in now more evident than ever. Buildings have a large share of total energy consumption and, thus, it is obvious that actions should be taken to reduce their needs. Taking into consideration that nowadays data related to building’s metrics are available in significantly higher rate than in the past, due to the advance of the related technologies, it is necessary to find ways to exploit them in order to draw useful inferences regarding their consumptions and how they can be reduced. For that reason, in this paper we present a Visualisation Engine, which offers a variety of visualisations over stored data. With the usage of the proposed Visualisation Engine, we envision to be able to conduct sufficient research over the data, to generate insightful information regarding their behaviour, and to assist the development of useful solutions towards the direction of more energy efficient buildings.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"41 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":"122683057","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":"Improved Untyped IntelliSense for JavaScript with Type Carriers and Binders","authors":"Anthony Savidis, Marios Ntoulas","doi":"10.1109/IISA56318.2022.9904413","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904413","url":null,"abstract":"In general, IntelliSense refers to source-code editing facilities that assist software developers in navigating, understanding, avoiding errors, and speeding-up the overall programming process. It is essentially the crossroad of context-sensitive help, intelligent recommendations, auto corrections and adaptive prompting for the programming task. We focus on untyped languages, in particular JavaScript, where the quantity of untyped code constantly grows, even though typing frameworks like Type Script are popular, and the recent ECMA 6 standard favors for typed classes. We present an improved technique for editing-time type inference, built on top of Visual Studio Code IDE and its Language Server Protocol. We introduce type carriers and binders that can capture all possible types of variables, returning results correctly matching the particular source location from which a query is made. We show how this approach offers more informative and descriptive feedback, effectively improving the overall intelligence of JavaScript editors.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"65 6 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":"131293893","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":"Improved Untyped IntelliSense for JavaScript with Type Carriers and Binders","authors":"Anthony Savidis, Marios Ntoulas","doi":"10.1109/IISA56318.2022.9904370","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904370","url":null,"abstract":"In general, IntelliSense refers to source-code editing facilities that assist software developers in navigating, understanding, avoiding errors, and speeding-up the overall programming process. It is essentially the crossroad of context-sensitive help, intelligent recommendations, auto corrections and adaptive prompting for the programming task. We focus on untyped languages, in particular JavaScript, where the quantity of untyped code constantly grows, even though typing frameworks like Type Script are popular, and the recent ECMA 6 standard favors for typed classes. We present an improved technique for editing-time type inference, built on top of Visual Studio Code IDE and its Language Server Protocol. We introduce type carriers and binders that can capture all possible types of variables, returning results correctly matching the particular source location from which a query is made. We show how this approach offers more informative and descriptive feedback, effectively improving the overall intelligence of JavaScript editors.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"56 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":"126525273","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":"Thing Ontologies for the Semantic Web of Things","authors":"Aimilios Tzavaras, N. Mainas, E. Petrakis","doi":"10.1109/IISA56318.2022.9904401","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904401","url":null,"abstract":"The Web of Things (WoT) Thing Description (TD) of W3C is a JSON template representation of Thing properties (e.g. purpose, data types, and operations). In recent work, we proposed that Things can be treated as Web services, and be described using OpenAPI. OpenAPI specification provides a method for documenting RESTful services so that a user or another service can comprehend their purpose and reuse them in applications. The resulting descriptions by either approach (i.e. W3C and OpenAPI) can be semantically extended using ontologies or can be mapped to an ontology to allow a machine to better understand the inherent meaning of Thing descriptions and interact with them. Then, Things can be discovered (i.e. queried) using Semantic Web query languages (e.g. SPARQL) and checked by reasoners (e.g. Pellet) for consistency or, to infer new properties. In this work, both approaches are discussed and compared in terms of the completeness of their representation.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"19 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":"124053302","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}
Anastasiou Konstantinos, Dimitris Tsipianitis, P. Groumpos
{"title":"Design of digital Arduino based sensor for safety belt tensioning in automotive transferring using LabVIEW","authors":"Anastasiou Konstantinos, Dimitris Tsipianitis, P. Groumpos","doi":"10.1109/IISA56318.2022.9904374","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904374","url":null,"abstract":"Safe driving, in a fast-moving world, is a must for the life of any person. Cars and means of transport in general, are evolving to be more efficient, easy to use and user friendly more than ever before and this is happening on an extraordinary rate. But what about driver safety? The safety of the driver is depended, almost exclusively on the airbags and the seat belt which in both cases a measure is triggered upon impact or an intense acceleration of the car or more specifically the driver’s body. Studies have shown that when these safety measures are used the injury and fatality rates lessen. However, there are cases where, the design of the above (in this paper we are talking only about the seatbelt) can be “sacrificing” from the user friendly and easy to use features that were previously mentioned on a car. So, in this paper, an Arduino based system implemented on LabVIEW is proposed as a solution.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"2015 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":"121529631","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}
Evgenia Paxinou, Konstantinos Mitropoulos, H. Tsalapatas, D. Kalles
{"title":"A Distance Learning VR Technology Tool for Science Labs","authors":"Evgenia Paxinou, Konstantinos Mitropoulos, H. Tsalapatas, D. Kalles","doi":"10.1109/IISA56318.2022.9904341","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904341","url":null,"abstract":"Distance learning technology and online learning are here to stay. The pandemic crisis made that very clear but the increasing number of the students who are grown up as “digital natives” and want to communicate and learn mostly through technology, make institutions to rethink their instructional approaches in ways that are innovative and technologically modern. It now seems quite feasible to use digital technology in order to organize a virtual classroom and teach a topic that is traditionally taught through lectures in a physical classroom. But, what about the distance teaching of a laboratory course where physical presence in the lab was, until recently, necessary and sometimes mandatory? In this work we propose a solution to this new demand. We present an educational interactive activity that uses desktop immersive virtual reality (VR) technology to familiarize students with the use of laboratory instruments, specifically of a photonic microscope. To that end we also record and analyze students’ actions in an Analytics Platform. The presented VR activity is an example of how instructors in Natural and Physical Sciences can expand their options of engaging their students in the laboratory courses. This approach can also be adopted in a flipped or blended classroom, in pandemic or normal situation, to prepare students for their experiments in a stimulating, safe, low-budget and time-flexible way. Additionally, the instructors may have immediate access to valuable information on their students’ engagement with the subject matter, as the learning analytics back-end offers them a clear view of the most difficult steps of an experiment, thus allowing them to improve their instructional approaches in their on-site labs.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"281 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":"122940244","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}
Evangelos Karakolis, K. Alexakis, Panagiotis Kapsalis, S. Mouzakitis, J. Psarras
{"title":"An end-to-end approach for scalable real time Anomaly detection in smart buildings","authors":"Evangelos Karakolis, K. Alexakis, Panagiotis Kapsalis, S. Mouzakitis, J. Psarras","doi":"10.1109/IISA56318.2022.9904410","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904410","url":null,"abstract":"Internet of things (IoT) along with big data technologies can accrue significant added value in several domains and improve people’s everyday life. One of the domains that can be benefitted the most by the aforementioned technologies is Smart Buildings. This is because, several aspects of people’s everyday lives can be improved through IoT services, such as energy consumption, health, heating, building security and more. IoT services can be divided to near real-time, and static based on the time that they require in order to return results. Significant amount of research papers has been dedicated to the second for services such as energy forecasting, while for near real-time services there are not so many publications, while, most of the existing ones focusing mostly on obtaining meaningful results. In this publication we propose a conceptual architecture for building a near real-time Anomaly Detection service for smart buildings using the Fog Computing paradigm, to achieve scalability and low latency. Moreover, we provide a technical glance of the proposed solution, suggesting specific technologies for each functionality as well as restrictions for each technology. It is worth mentioning that the proposed approach can be easily adapted for other near real-time services with little modifications.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"41 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":"133534656","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":"Extreme value analysis for dietary intake based on weight class.","authors":"Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, G. Tsihrintzis","doi":"10.1109/IISA56318.2022.9904418","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904418","url":null,"abstract":"Biomarkers are metrics of biological variables that can identify a health state. They consist of measurement of a single variable or of a combination of variables as related to the health state that those variables represent. Biomarkers can provide an early warning of a health problem with regard to an individual patient or a group of patients and, thus, trigger actions and drive interventions. Nutritional biomarkers may be interpreted more broadly as a biological consequence of dietary intake or dietary patterns [1]. In a recent work, we established a strong connection via blood biomarkers and weight status as expressed by the body mass index (B.M.I) [2]. In this work, we are using mathematical and statistical paradigms, with a focus on the extreme value theory, in order to connect different dietary patterns between weight classes and the extreme values of those patterns. We also attempt to systematize the process of extreme value examination for medical-related data, to extract valued information and automate decision making. In our study, we use datasets derived from the Centers for Disease Control and Prevention.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"207 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":"131591696","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}
D. Miserlis, Yuvaraj Munian, W. Bohannon, Marissa Wechsler, M. Montero-Baker, Lucas Ferrer-Cardona, M. Davies, P. Koutakis, M. Alamaniotis
{"title":"Convolutional Neural Network Analysis of Tissue Remodeling and Myopathy in Peripheral Arterial Disease","authors":"D. Miserlis, Yuvaraj Munian, W. Bohannon, Marissa Wechsler, M. Montero-Baker, Lucas Ferrer-Cardona, M. Davies, P. Koutakis, M. Alamaniotis","doi":"10.1109/IISA56318.2022.9904385","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904385","url":null,"abstract":"One of the most widely spread vascular diseases worldwide and in the United States is Peripheral Arterial Disease The disease classification is based on clinical testing and the judgment of physicians. Our goal is to demonstrate the applicability of artificial neural networks as an objective diagnostic tool for medical use. Patients with Peripheral Arterial Disease have different levels of arterial damage, which results in a chronic lack of blood supply in the lower extremities. As a result, these patients develop structural changes in their tissues, with detrimental long-term effects. We are presenting the results obtained from the analysis of human muscle specimens, obtained from vascular patients, using several different convolution neural networks and transfer learning. We used the clinical classification standards to produce the labels for our dataset and we were able to successfully develop 11 different Artificial Neural Network Models for objective patient classification.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"170 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":"115102761","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":"A Repetitive Watermarking Scheme for Digital Images based on Self-Inverting Permutations","authors":"Maria Chroni, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos","doi":"10.1109/IISA56318.2022.9904378","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904378","url":null,"abstract":"In this work we present a novel watermarking scheme based on the repetitive application of watermarks inside a digital image. Our approach extends the technique proposed initially in [1] and [2] by implementing the corresponding approach repetitively over the wider area of the digital image and embedding the whole watermark in the corresponding cells instead of parts of it. The approach proposed in this work focuses mainly on securing the watermarked image against crop attacks and compression attacks that constitute the most important attacks through the attack vectors. Our approach provides a significant improvement over the computational cost required for the embed procedure of the watermark inside a digital image, achieving an adequately imperceptible and robust watermarking technique. The experimental results exhibited through the evaluation of our proposed model prove its potentials against these types of attacks and ensure that the embedded information will be successful extracted from the watermarked image after the deployment of such attacks.","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":"124216267","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}