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24th Pan-Hellenic Conference on informatics, PCI 2020

作者： G Chaidoulis, Ioannis Karanikolas, Nikitas School of Engineering Dept. of Informatics and Computer Engineering University of West Attica Lab Associate School of Pedagogical and Technological Education Dept. of Electrical and Electronics Greece School of Engineering Dept. of Informatics and Computer Engineering University of West Attica Egaleo Park Campus Ag. Spyridonos str Egaleo12243 Greece

ISBN: (纸本)9781450388979

Due to the unpredictable nature of the renewable energy sources it has become significant the energy storage systems and meeting the demand during peak hours. There are different types of energy storage systems, a lot of them are presented, with different operational capabilities, costs and limitations. This review tries also to note those already used in Greece and discuss the current state-of-the-art developments, key challenges and prospects of those systems. © 2020 ACM.

关键词： Renewable energy resources

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Time difference of arrival localization study for SAR systems over LoRAWAN 17

Time difference of arrival localization study for SAR system...

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17th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2020

作者： Bouras, Christos Gkamas, Apostolos Kokkinos, Vasileios Papachristos, Nikolaos Computer Engineering and Informatics Dept. Univ. of Patras Greece University Ecclesiastical Academy of Vella Greece

Over the last years we have seen a rapid expansion within the area of Internet of Things (IoT) applications. For many applications' use cases, such as rescue monitor systems, the problem of localization (i.e. determine the physical location of nodes) is critical. This paper studies and evaluates the usage of mathematical model of multilateration algorithms using Time Difference of Arrival (TDoA) as a solution for positioning over Long Range Wide Area Network (LoRaWAN). The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm's prediction, we can have an accuracy of 40-60m in location positioning ideal for search and rescue use cases. © 2020 The Authors.

关键词： Time difference of arrival

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Time-Delayed Reservoir Computing Based on Dual-Waveband Quantum-Dot Spin-Polarized Vertical Cavity Surface-Emitting Laser

arXiv

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arXiv 2022年

作者： Skontranis, M. Sarantoglou, G. Bogris, A. Mesaritakis, Charis University of the Aegean Dept. of Information and Communication Systems Engineering Palama 2 Karlovassi Samos 83200 Greece University of West Attica Dept. of Informatics and Computer Engineering Aghiou Spiridonos Egaleo Athens12243 Greece

In this work we present numerical results concerning a time-delayed reservoir computing scheme, where its single nonlinear node, is a Quantum-Dot spin polarized Vertical Cavity Surface-Emitting Laser (QD s-VCSEL). The proposed photonic neuromorphic scheme, exploits the complex temporal dynamics of multiple energy states present in quantum dot materials and uses emission from two discrete wavebands and two polarization states, so as to enhance computational efficiency. The benchmark task used for this architecture, is the equalization of a distorted 25Gbaud PAM-4 signal after 50Km of transmission at 1550nm. Results confirm that although typical ground-state emitting quantum-dot nodes offer limited performance, due to bandwidth limitations;by exploiting dual emission, we achieved a one-hundred-fold improvement in bit-error rate. This performance boost can pave the way for the infiltration of quantum-dot based devices in high-speed demanding neuromorphic driven applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

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Designing an innovative educational toolbox to support the transition to new technologies

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SN Social Sciences 2021年第3期1卷 1-22页

作者： Leligou, Helen C. Ponci, Ferdinanda De Rosa, Rosanna Karkazis, Panagiotis A. Psomopoulos, Constantinos S. Department of Industrial Design and Production Engineering University of West Attica Athens Greece RWTH Aachen University Aachen Germany Dept. of Social Sciences University of Naples Federico II Naples Italy Department of Informatics and Computer Engineering University of West Attica Athens Greece Department of Electrical and Electronics Engineering University of West Attica Athens Greece

Our economies and societies are becoming more and more knowledge based which implies that increasing numbers of people need to be educated and trained on new subjects and processes. Thus, the reduction of the effort needed to design and prepare educational and training programmes that meet the needs of the society and the market is of paramount importance. To achieve this goal, first, we define a learning programme model so that programme designers can easily exchange and re-use programme structures and learning materials. The proposed model additionally enables easier creation of interdisciplinary programmes which is another need of today’s market. Second, we deploy a web-based tool that adopts this model towards facilitating the re-use of structures and materials. Third, to reduce the time required for the training actors to sense the market needs, we propose the establishment of an educational programme marketplace. All three endeavours have been validated in the energy transition sector and (positively) evaluated by experts during an international workshop. © The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021.

关键词： Education resource re-use Educational programme modelling Effective programme design

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Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection

Automatic Interaction and Activity Recognition from Videos o...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Elena Merlo Marta Lagomarsino Edoardo Lamon Arash Ajoudani Human-Robot Interfaces and Interaction Laboratory Istituto Italiano di Tecnologia Genoa Italy Dept. of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Genoa Italy Dept. of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Dept. of Information Engineering and Computer Science University of Trento Trento Italy

This paper presents a new method to describe spatio-temporal relations between objects and hands, to recognize both interactions and activities within video demonstrations of manual tasks. The approach exploits Scene Graphs to extract key interaction features from image sequences while simultaneously encoding motion patterns and context. Additionally, the method introduces event-based automatic video segmentation and clustering, which allow for the grouping of similar events and detect if a monitored activity is executed correctly. The effectiveness of the approach was demonstrated in two multi-subject experiments, showing the ability to recognize and cluster hand-object and object-object interactions without prior knowledge of the activity, as well as matching the same activity performed by different subjects.

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Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection

arXiv

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arXiv 2023年

作者： Merlo, Elena Lagomarsino, Marta Lamon, Edoardo Ajoudani, Arash Human-Robot Interfaces and Interaction Laboratory Istituto Italiano di Tecnologia Genoa Italy Dept. of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Genoa Italy Dept. of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Dept. of Information Engineering and Computer Science University of Trento Trento Italy

关键词： Anomaly detection

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Chaotic American zebra search optimization algorithm for benchmark challenges

Chaotic American zebra search optimization algorithm for ben...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Vikram Kumar Kamboj Ardhala Bala Krishna Chaman Verma Maria Simona Raboaca Constantin Filote Maria Stepanova Schulich School of Engineering University of Calgary Alberta Canada Dept. of Electrcical and Electronics Engineering Malla Reddy Engineering College for Women Hyderabad India Dept. of Media and Edu. Informatics Faculty of Informatics Eötvös Loránd University Budapest Hungary ICSI Energy Department National Research and Development Institute for Cryogenics and Isotopic Technologies Ramnicu Valcea Romania Faculty of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava Romania Engineering Business and Management Faculty Bauman Moscow State Technical University Russia

In this research, we presented a modification to the recently developed swarm premised American zebra search optimization algorithm (AZOA) using chaos. The particular Singer mapping was proposed by the so-called chaotic AZOA and was already known to perform better in optimization. Twelve uni, multi modal benchmark functions, three-bar truss and ten bar truss optimal structural designs were tested. The chaotic AZOA with Singer map would perform more effectively, more consistently, and quicker than the classical AZOA and other recent metaheuristics in optimization, according to the results, which also supported the viability of the modifications. It was discussed if the chaotic AZAO could be optimized with the original AZOA, and the chaotic AZOA was suggested for use in applications for actual engineering challenges.

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Exploring the Potential of DeepSeek-R1 Model in Transforming Healthcare Solutions: An Overview

Exploring the Potential of DeepSeek-R1 Model in Transforming...

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International Symposium on Digital Forensic and Security (ISDFS)

作者： Muhammad Raheel Raza Shahbaz Ahmed Fahad Ahmed Khokhar Asaf Varol Peter Faber Business School Australian Catholic University North Sydney Australia Department of Computer Science Universitat Koblenz Koblenz Germany Department of Informatics & Mathematics University of Florence Firenze FI Italy Department of Engineering Management & Technology College of Eng. & Comp. Science Uni. of Tennessee at Chattanooga Chattanooga TN US Dept. of Computer Engineering College of Eng. & Nat. Sciences Maltepe University Istanbul Turkiye

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

Over the past few decades, artificial intelligence (AI) has become more integrated into healthcare, with Large Language Models (LLMs) being a key component in improving healthcare decision-making. These LLMs' capacity to produce and interpret human-like texts has the potential to revolutionize healthcare procedures, where efficient data processing and communication are crucial. DeepSeek-Rl, created by DeepSeek AI, has drawn notice globally for its reasoning-based design that uses reinforcement learning (RL) to enhance problem-solving skills. Keeping this in view, the paper emphasizes the significance of the DeepSeek- Rl model and its application in the healthcare industry. Highlighting some hypothetical potential scenarios, we believe that DeepSeek models can playa crucial role in transforming existing medical approaches and revolutionizing the future of AI in health care.

关键词： Industries Biological system modeling Large language models Digital forensics Decision making Medical services Reinforcement learning Data processing Security Problem-solving

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Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features

Enhanced Alzheimer's disease and Frontotemporal Dementia EEG...

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Annual IEEE Symposium on computer-Based Medical Systems

作者： Andreas Miltiadous Katerina D. Tzimourta Vasileios Aspiotis Theodora Afrantou Markos G. Tsipouras Nikolaos Giannakeas Euripidis Glavas Alexandros T. Tzallas Dept. of Informatics and Telecommunications University of Ioannina Kostakioi Arta Greece Dept. of Electrical & Computer Engineering University of Western Macedonia Kozani Greece Faculty of Medicine University of Ioannina Ioannina Greece Dept. of Neurology AHEPA University Hospital Aristotle University of Thessaloniki Thessaloniki Greece

Alzheimer's disease and Frontotemporal dementia are the two most reported dementia cases. They both are neurodegenerative disorders without cure while existing treatments only halt their progress. Thus, early detection is of crucial importance. In this work, we utilize electroencephalographic signals of AD and FTD patients and propose a classification pipeline to distinguish them from healthy signals. This pipeline consists of Independent Component Analysis as a preprocessing stage, the extraction of time, frequency and complexity features, feature elimination through importance ranking and finally classification through utilizing Gradient Boosting Decision Trees. The proposed methodology achieved 92.27% F1 score in the Dementia versus Control problem, 83.06% in the AD versus Control and 80.67% in the FTD versus Control.

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Multicell converters for energy efficient power supplies in the ICT industry 12

Multicell converters for energy efficient power supplies in ...

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12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2020

作者： Chrysostomou, Michael Christofides, Nicholas Ioannou, Stelios Polycarpou, Alexis Frederick University Department of Electrical Engineering Computer Engineering and Informatics Y. Frederickou Str. Nicosia Cyprus University of Central Lancashire Electrical and Computer Engineering dept. Pyla Cyprus

ISBN: (纸本)9781839535635

The introduction of 5G technology in the telecommunications sector requires multiple base stations and micro-datacentres to serve the increased network speeds and latency requirements. As a result, this has led to a huge increase in the power requirements and consequently in the energy consumption. To meet the increased power requirements for the 5G ICT equipment, new high power and high efficiency power supplies should be sought in an attempt to retain the increase in energy and running costs. The work analyses how power supply systems in multicell structures can contribute to the problem. A new multicell structure is proposed and simulated in PSIM’s thermal module. It is proven that using multicell structures, high efficiency at varying load levels can be achieved. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： 5G mobile communication systems

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