{"title":"[Copyright notice]","authors":"","doi":"10.1109/iisa52424.2021.9555566","DOIUrl":"https://doi.org/10.1109/iisa52424.2021.9555566","url":null,"abstract":"","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"41 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":"116693640","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}
Emmanouil Skondras, A. Michalas, D. Vergados, E. T. Michailidis, N. I. Miridakis
{"title":"A Network Slicing Algorithm for 5G Vehicular Networks","authors":"Emmanouil Skondras, A. Michalas, D. Vergados, E. T. Michailidis, N. I. Miridakis","doi":"10.1109/IISA52424.2021.9555500","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555500","url":null,"abstract":"Fifth generation (5G) vehicular networks support various services with strict Quality of Service (QoS) constraints. Network access technologies such as the LTE Vehicle to Everything (LTE-V2X) and the IEEE 802.11ac/ax provide network access to users, while Software Defined Networking (SDN) provides centralized control of the heterogeneous network environment. In this environment, each vehicle could serve multiple passengers with multiple services. Therefore, the design of efficient resource allocation schemes for 5G vehicular infrastructures is needed. This paper describes a network slicing scheme for 5G systems that aims to optimize the performance of modern vehicular services. In particular, the throughput that each user obtains for his services is considered. If the available connection throughput is above a predefined service threshold, then the necessary telecommunication resources from the current Point of Access (PoA) are allocated to support the user’s services. On the contrary, if the available connection throughput is lower than the aforementioned threshold, additional resources from a Virtual Resource Pool (VRP) located at the SDN controller are committed by the PoA in order to satisfy the required services. Performance evaluation shows that the suggested method outperforms existing algorithms in terms of throughput, end to end delay, jitter and packet loss ratio.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"30 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":"114497279","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":"Personalized Academic Thesis Management","authors":"Eythymios Tsatsaris, E. Sakkopoulos","doi":"10.1109/IISA52424.2021.9555563","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555563","url":null,"abstract":"Academic thesis is an integral part of most academic programs across disciplines. In lots of disciplines actually is also the longest and most important project during students’ life. However, our research finds that thesis management has not received the proper attention in learning management systems beyond mainly the inclusion of thesis in grading management systems. Grading of thesis is only the last step. Actually, thesis management should start when students shall choose the subject for their thesis and their thesis supervisor, it continues with thesis task and milestone progress management and finally closes with thesis submission, defense and grading. The proposed personalized software solution is a four-step system that (a) proposes thesis topics based on personalized profiles, (b) manages applications for thesis to the supervisor, (c) allows thesis progress management and (d) provides functions for its final delivery.The solution is scalable and dynamic so it can support a whole academic institution, any specific department, any laboratory or research group of scientists/supervisors and individual thesis supervisors. The approach has been evaluated in a real life online service by graduate and postgraduate students during their thesis selection process. Analysis of user experience has shown that the proposed approach matches thesis topics to student’s actual choices with accuracy greater than 75% within just the top 5 thesis topics suggested to each student. Moreover, usability of the system has been graded as “A” or “Excellent” based on SUS methodology.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"71 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":"114879241","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":"Genetic Algorithm Based Quantum Circuits Optimization for Quantum Computing Simulation","authors":"Lu Wei, Zhong Ma, Yuqing Cheng, Qianyu Liu","doi":"10.1109/IISA52424.2021.9555575","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555575","url":null,"abstract":"Quantum computing simulation platform can simulate the computation results of the quantum computer based on traditional computers, which is an effective way to promote the development of quantum computing software, algorithms and hardware at the current immature stage of the real quantum computer. Since quantum computers have exponential calculation acceleration compared with traditional computers, the main problems in implementing quantum computing simulation on traditional computers are low computational efficiency and long time-consuming. A quantum circuit which is a sequence of quantum gates acting on a collection of qubits is the general quantum computing model. So by the means of quantum circuit optimization, the calculation speed can be significantly increased while keeping the calculation result unchanged. The existing empirical rules of quantum circuit optimization methods have limitations and there is no common and automatic quantum circuit optimization method. In this paper, a general and automatic quantum circuit optimization method based on the genetic algorithm is proposed, by which the equivalent optimal quantum circuit is obtained through a finite number of searching in a large searching space. This method is not limited by the hardware of the quantum computing simulation and the composition of the quantum circuit. The experimental results show that for the QFT algorithm of 29 qubits, the running time can be shortened by 41.4% and for the variational circuit of 6 qubits, the running time can be shortened by 18.8% compared with the state-of-the-art quantum circuit optimization method. So this method can improve the quantum computing simulation capability and operating efficiency and provide a rapid development way for quantum algorithms and applications.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"24 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":"127471553","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":"Smart Home Assistance for humans with episodic memory decline problems using a fuzzy rule-based mechanism: The case of stove usage","authors":"K. Chrysafiadi, Evangelia-Aikaterini Tsichrintzi","doi":"10.1109/IISA52424.2021.9555557","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555557","url":null,"abstract":"Nowadays, the fast pace of life is causing problems to many people concerning lapses of attention or episodic memory decline. These problems are to blame for many annoying incidents, like forgetting where the car is parked, to extremely serious situations, like an accident due to a fire provoked from a possible failure to remember to turn off the oven. In view of these problems, the aim of this paper is to assist humans with episodic memory decline problems or lapses of attention in carrying out everyday tasks and protect them from the dangers that their memory impairment may cause at home. Particularly, this paper presents a fuzzy inference system for smart homes that monitors the user’s everyday activity and calculates the degree of the emergency that is caused by an inconsistency in the monitored person’s actions and generates the appropriate alert. The input of the fuzzy inference system consists of variables that are associated with the monitored person’s activity like time, moves and apparatus and performs goal recognition and problem diagnosis in the sequence of actions. The presented system uses fuzzy sets and fuzzy rules to generate alert messages that notify the monitored person about the next action that s/he has to do in order to complete a particular activity. This paper presents of stove usage as a case study of research.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"16 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":"127206700","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}
Christina Saravanos, G. Drakopoulos, Andreas Kanavos, E. Kafeza, C. Makris
{"title":"Discovering Influential Twitter Authors Via Clustering And Ranking On Apache Storm","authors":"Christina Saravanos, G. Drakopoulos, Andreas Kanavos, E. Kafeza, C. Makris","doi":"10.1109/IISA52424.2021.9555528","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555528","url":null,"abstract":"Nowadays several millions of people are throughout the day active, while hundreds of new accounts are created daily on social media. Thousands of short-length posts or tweets are posted on Twitter, a popular micro-blogging platform by a vast variety of authors and thus creating a widely diverse social content. The emerged diversity not only does indicate a remarkable strength, but also reveals a certain kind of difficulty when attempting to find Twitter’s authoritative and influencing authors. This work introduces a two-step algorithmic approach for discovering these authors. A set of metrics and features are, firstly, extracted from the social network e.g. friends and followers and the content of the tweets written by the author are extracted. Then, Twitter’s most authoritative authors are discovered by employing two distinct approaches, one which relies on probabilistic while the other applies fuzzy clustering. In particular, the former, initially, employs the Gaussian Mixture Model to identify the most authoritative authors and then introduces a novel ranking technique which relies on computing the cumulative Gaussian distribution of the extracted metrics and features. On the other hand, the latter combines the Gaussian Mixture Model with fuzzy c-means and subsequently the derived authors are ranked via the Borda count technique. The results indicate that the second scheme was able to find more authoritative authors in the benchmark dataset. Both approaches were designed, implemented, and executed on a local cluster of the Apache Storm framework, a cloud-based platform which supports streaming data and real-time scenarios.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"14 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":"131809045","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}
Eva Kokotsaki, Galateia Kapellakou, Anastasios Giannaros, S. Sioutas
{"title":"The application of Blockchain technology in Copyright field: formalities and “smart contracts”","authors":"Eva Kokotsaki, Galateia Kapellakou, Anastasios Giannaros, S. Sioutas","doi":"10.1109/IISA52424.2021.9555572","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555572","url":null,"abstract":"Blockchain technology is being successfully applied in the cultural sector to enable the lawful distribution of works. This paper studies copyright related issues regarding the two basic characteristics of the specific technology: its nature as a ledger where information related to ownership is registered and the fact that it provides smart contracts functionality. We are addressing questions related to the legitimacy of the existence of a registry (ledger) and the significance of smart contracts for copyright law.","PeriodicalId":437496,"journal":{"name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"115 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288089","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":"Sharpness Enhancement of Stereo Images Using a Depth-Based Per-Pixel Regularization","authors":"J. Andrade","doi":"10.1109/IISA52424.2021.9555517","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555517","url":null,"abstract":"Blur is one of the causes of visual discomfort in stereopsis. The application of 2D image sharpening algorithms to the left and right view can produce an interdifference which causes eyestrain and visual fatigue for the viewer. Additionally, it has been shown, through subjective tests, that the perception of sharpness is affected by depth. A 3D sharpness enhancement method for stereo images that incorporates binocular vision cues as well as depth information is presented. The proposed algorithm decomposes each of the input stereo images into a base and a detail layer. The visibility thresholds maps given by the Binocular Just Noticeable Difference (BJND), which include binocular mechanisms such as luminance and contrast masking are used as guidance maps in the computation of the base layer; additionally, the depth of objects in the scene is used to provide a per-pixel depth-weighted regularization to the computation of the base layer. The detail layer, defined using the input images and the computed base layer is boosted and then added to the base layer to provide the final sharpness enhanced images. The proposed sharpness enhancement method results in a low interdifference error of corresponding positions of the stereo pair and in an enhanced subjective visual quality. Comparative quantitative results in terms of interdifference using a publicly available dataset show that the proposed algorithm outperforms state-of-the-art algorithms. Qualitative and subjective evaluation results are also included in order to show the perceived visual quality improvement provided by the proposed algorithm.","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":"130584557","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}
Nikolaos Tsatsakis, N. Papadakis, Panagiotis Bariamis
{"title":"“Coordinates’ Line Subtitles”: a Spicy Feature in VR360 Videos for Events“ Locations","authors":"Nikolaos Tsatsakis, N. Papadakis, Panagiotis Bariamis","doi":"10.1109/IISA52424.2021.9555503","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555503","url":null,"abstract":"VR360 videos for events locations (venues) and their surrounding areas are capable to provide a sensory and cognitive foretaste of the experience of the events, and at the same time constitute an effective means of inspiration for the creation and implementation of novel cultural and other events to the place where the video was captured. The above have been evaluated via the design and implementation of an innovative “Events’ spatiotemporal map” service for the region of Crete, where VR360 videos of events’ locations have been proved to promote the touristic and cultural experience.The documentation of the VR360 videos has followed narration and subtitling based on three main techniques: a) fictional description of the place and its use, b) the “truthful cinema” approach, i.e. through scenarios about the history and the activities of the place that are spontaneous, active and without mediation, and c) indirectly, through the description of a certain event that is taking place in the filmed location. According to Todorov the typology of the stories in either approach is comprised of three types: omniscient, objective and with point of view (subjective). During our research for the “Events’ spatiotemporal map” we elaborated on another way of VR360 videos documentation, the “coordinates’ line subtitles” which will result in a new type of narration, the one we have defined as “google-tive”. The narration/subtitles will include information from the Google maps service, mainly toponyms and POIs, correlated with “hidden” spatial information to VR360 video scenes.In this paper we set the theoretical bases of the new type of VR360 subtitling and present the implementation of the dataflow assisting the creation of “coordinates’ line subtitles” by use of the Google Places’ API to retrieve Points of Interest around events’ locations.","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":"133469953","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}
Elias Dritsas, M. Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
{"title":"Aspect-Based Community Detection of Cultural Heritage Streaming Data","authors":"Elias Dritsas, M. Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas","doi":"10.1109/IISA52424.2021.9555549","DOIUrl":"https://doi.org/10.1109/IISA52424.2021.9555549","url":null,"abstract":"Twitter is considered a major and very popular social network providing an abundance of data generated by users’ interactions through tweets. After an appropriate analysis of this information, sets consisting of users who share similar attributes, and preferences can be identified. Massive cultural content management is important because reviews can be analyzed for extracting significant representations. In this study, an aspect mining method of a cultural heritage approach by incorporating big data methods, is proposed. We propose the combination of a community detection algorithm, i.e., the Parallel Structural Clustering Algorithm for Networks (PSCAN), with topic modelling methods, i.e., the Latent Dirichlet Allocation (LDA), for performing large-scale data analysis in Twitter.","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":"124633893","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}