2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)最新文献_第4页

AitoloakarnaniaFortifications: An AR application for the promotion of the fortifications of Aitoloakarnania Aitoloakarnania防御工事:用于促进Aitoloakarnania防御工事的AR应用程序

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904396

Dimitrios Tsoukalos, Vasileios Triantfyllou, Konstantinos I. Kotsopoulos, D. Tsolis

引用次数: 0

Vessel’s trim optimization using IoT data and machine learning models 利用物联网数据和机器学习模型进行船舶内饰优化

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904361

T. Panagiotakopoulos, Ioannis Filippopoulos, Christos Filippopoulos, Evangelos Filippopoulos, Z. Lajic, A. Violaris, Sotirios Panagiotis Chytas, Y. Kiouvrekis

引用次数: 1

Human-Robot Co-Teaching in Online University Course during Covid-19 新型冠状病毒肺炎期间高校网络课程人机协同教学

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904335

Anna-Maria Velentza, I. Lefkos, Nikolaos Fachantidis

{"title":"Human-Robot Co-Teaching in Online University Course during Covid-19","authors":"Anna-Maria Velentza, I. Lefkos, Nikolaos Fachantidis","doi":"10.1109/IISA56318.2022.9904335","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904335","url":null,"abstract":"Online lectures are extensively used in the academic area. Especially due to the Covid-19 lockdown restriction measures, the educational institutions were forced to conduct online classes. Consequently, it is important to determine how these classes can become more enjoyable while at the same time delivering the academic objectives to the students and how academic tutors can optimally interact with students. This paper specifically looks at the performance of social robots in place of university co-tutors, in the field of engineering, measuring the students’ enjoyment and understanding of the basic principles of the lecture’s content. Inspired by previous educational studies which have evidenced beneficial effects for both students and tutors after taught/conducting lectures with two collaborative tutors, the goal of this research is a) to test the students’ evaluation of two collaborative human tutors in comparison with one individual human when teaching academic lectures during online lectures, and b) to investigate the effect of a social robot co-tutor after comparing students understanding and level of enjoyment after attending a lecture given by human-human or human-robot co-tutors. The lectures took place via an online educational platform during an actual university course. Results indicated that students evaluated higher the co-tutor lectures in comparison with the individual tutor lectures, while they equally enjoyed and gained knowledge from both human-human and human-robot cotutored lectures.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"37 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":"125753335","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}

引用次数: 0

Bitcoin Price Prediction and Automated Trading via LSTM Networks and Reinforcement Learning 基于LSTM网络和强化学习的比特币价格预测和自动交易

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904355

Ioannis Ntourmas, Dionisios N. Sotiropoulos

引用次数: 0

An Environmentally-sustainable Dimensioning Workbench towards Dynamic Resource Allocation in Cloud-computing Environments 面向云计算环境下动态资源分配的环境可持续维度工作台

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904367

Andreas Karabetian, Athanasios Kiourtis, K. Voulgaris, Panagiotis Karamolegkos, Yannis Poulakis, Argyro Mavrogiorgou, D. Kyriazis

{"title":"An Environmentally-sustainable Dimensioning Workbench towards Dynamic Resource Allocation in Cloud-computing Environments","authors":"Andreas Karabetian, Athanasios Kiourtis, K. Voulgaris, Panagiotis Karamolegkos, Yannis Poulakis, Argyro Mavrogiorgou, D. Kyriazis","doi":"10.1109/IISA56318.2022.9904367","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904367","url":null,"abstract":"With the exponential growth in data generated every year, Big Data has become one of the core research subjects in the overall computing domain. But when considering big data scenarios in a cloud centric environment, the need for a resource management mechanism is of vital importance. Under those circumstances, intelligent allocation of resources can have a direct and noticeable impact on application performance. The aim of this paper is to present a solution on dynamic resource allocation for efficient cloud scalability. This is made possible by using machine learning algorithms as well as user feedback, in order to generate an adequate resource forecasting model. The efficiency of the tool is evaluated by repeatedly executing extensive analysis of various datasets provided by the end users, exploiting the cloud computing paradigm for their analytic purposes. The given solution is able to learn and enhance its knowledge graph considering user feedback, as well as previously executed processes in our cloud environment. To this extent, the forecasting model will attempt to estimate optimal resource allocation for each user scenario.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"136 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":"134639066","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}

引用次数: 3

Recent Progress on Submarine Optical Amplifiers 海底光放大器研究进展

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904425

Charalampos Papapavlou, Konstantinos Paximadis, Giannis Tzimas

引用次数: 0

Cryptocurrency Price Prediction using Social Media Sentiment Analysis 使用社交媒体情绪分析预测加密货币价格

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904351

Sotirios Oikonomopoulos, Katerina Tzafilkou, Dimitrios Karapiperis, Vassilios S. Verykios

{"title":"Cryptocurrency Price Prediction using Social Media Sentiment Analysis","authors":"Sotirios Oikonomopoulos, Katerina Tzafilkou, Dimitrios Karapiperis, Vassilios S. Verykios","doi":"10.1109/IISA56318.2022.9904351","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904351","url":null,"abstract":"In a paper that was anonymously published and signed by the pseudonym Satoshi Nakamoto, Bitcoin was introduced to the world. Due to its enormous success, a great number of cryptocurrencies were created in the upcoming years. This exponential growth relies mostly on the extreme volatility of the market, which led many people to become interested and get involved, primarily for profit. Cryptocurrency enthusiasts tend to share and learn news and opinions on social media platforms, one of the most popular being Twitter. In this paper, we study the extent to which Twitter sentiment analysis can be used to predict price fluctuations for cryptocurrencies. Initially, we gathered tweets and price data of seven of the most popular cryptocurrencies, which were processed to perform sentiment analysis using Valence Aware Dictionary for Sentiment Reasoning (VADER). The time-series stationarity was determined with Augmented Dicky Fuller (ADF) Kwiatkowski Phillips Schmidt Shin (KPSS) tests and then Granger Causality testing took place. While price fluctuations seem to cause sentiment for Bitcoin, Cardano, XRP and Doge, predictability was found for Ethereum and Polkadot, based on a bullishness ratio. Finally, predictability of price returns is examined with Vector Autoregression (VAR) and highly accurate forecasts for two of the seven cryptocurrencies were achieved. More specifically, price forecasts of Ethereum’s and Polkadot’s prices reached 99.67% and 99.17% accuracy, respectively.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"22 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":"132174373","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}

引用次数: 3

Wafer Map Defect Pattern Recognition using Imbalanced Datasets 基于不平衡数据集的晶圆图缺陷模式识别

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904402

T. Tziolas, T. Theodosiou, K. Papageorgiou, A. Rapti, Nikos Dimitriou, D. Tzovaras, E. Papageorgiou

引用次数: 0

Lifting the Curse: Exploring Dimensionality Reduction on Text Clustering Applications 解除诅咒:探索文本聚类应用的降维

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904383

Leonidas Akritidis, Panayiotis Bozanis

{"title":"Lifting the Curse: Exploring Dimensionality Reduction on Text Clustering Applications","authors":"Leonidas Akritidis, Panayiotis Bozanis","doi":"10.1109/IISA56318.2022.9904383","DOIUrl":"https://doi.org/10.1109/IISA56318.2022.9904383","url":null,"abstract":"Nowadays, huge amounts of text are being generated on the Web by a vast number of applications. Examples of such applications include instant messengers, social networks, e-mail clients, news portals, blog communities, commercial platforms, and so forth. The requirement for effectively identifying documents of similar content in these services rendered text clustering one of the most emerging problems of the machine learning discipline. Nevertheless, the high dimensionality and the natural sparseness of text introduce significant challenges that threat the feasibility of even the most successful algorithms. Consequently, the role of dimensionality reduction techniques becomes crucial for this particular problem. Motivated by these challenges, in this article we investigate the impact of dimensionality reduction on the performance of text clustering algorithms. More specifically, we experimentally analyze its effects in the effectiveness and running times of eight clustering algorithms by employing six high-dimensional text datasets. The results indicate that, in most cases, dimensionality reduction may significantly improve the algorithm execution times, by sacrificing only small amounts of clustering quality.","PeriodicalId":217519,"journal":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","volume":"67 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":"126086914","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}

引用次数: 0

A web-based Building Automation and Control Service 基于网络的楼宇自动化和控制服务

2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2022-07-18 DOI: 10.1109/IISA56318.2022.9904364

Elissaios Sarmas, Nikos Dimitropoulos, Sofoklis Strompolas, Z. Mylona, Vangelis Marinakis, Athanasios Giannadakis, Alexandros Romaios, H. Doukas

引用次数: 2