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Your search keyword '"Kouzinopoulos, Charalampos S."' showing total 26 results
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26 results on '"Kouzinopoulos, Charalampos S."'

1. IoT Solutions for Large Open-Air Events

Author

Sottile, Francesco, primary, Foglietti, Jacopo, additional, Pastrone, Claudio, additional, Spirito, Maurizio A., additional, Defina, Antonio, additional, Eisenhauer, Markus, additional, Devasya, Shreekantha, additional, Schoneveld, Arjen, additional, Frey, Nathalie, additional, Pierre-Yves, Hors, additional, Remagnino, Paolo, additional, Oghaz, Mahdi Maktabdar, additional, Haddad, Karim, additional, Kouzinopoulos, Charalampos S., additional, Stavropoulos, Georgios, additional, Munoz, Patricio, additional, Carra, Sébastien, additional, Kool, Peeter, additional, and Rosengren, Peter, additional

Published
2022
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4. Emergency Evacuation Simulation in Open Air Events Using a Floor Field Cellular Automata Model

Author

Strongylis, Dionysios, Kouzinopoulos, Charalampos S., Stavropoulos, Georgios, Votis, Konstantinos, Tzovaras, Dimitrios, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Moura Oliveira, Paulo, editor, Novais, Paulo, editor, and Reis, Luís Paulo, editor

Published
2019
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5. A Hybrid Parallel Implementation of the Aho-Corasick and Wu-Manber Algorithms Using NVIDIA CUDA and MPI Evaluated on a Biological Sequence Database

Author

Kouzinopoulos, Charalampos S., Assael, John-Alexander M., Pyrgiotis, Themistoklis K., and Margaritis, Konstantinos G.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computational Engineering, Finance, and Science
Abstract

Multiple matching algorithms are used to locate the occurrences of patterns from a finite pattern set in a large input string. Aho-Corasick and Wu-Manber, two of the most well known algorithms for multiple matching require an increased computing power, particularly in cases where large-size datasets must be processed, as is common in computational biology applications. Over the past years, Graphics Processing Units (GPUs) have evolved to powerful parallel processors outperforming Central Processing Units (CPUs) in scientific calculations. Moreover, multiple GPUs can be used in parallel, forming hybrid computer cluster configurations to achieve an even higher processing throughput. This paper evaluates the speedup of the parallel implementation of the Aho-Corasick and Wu-Manber algorithms on a hybrid GPU cluster, when used to process a snapshot of the Expressed Sequence Tags of the human genome and for different problem parameters.

Published
2014

6. Using Blockchains to Strengthen the Security of Internet of Things

Author

Kouzinopoulos, Charalampos S., Spathoulas, Georgios, Giannoutakis, Konstantinos M., Votis, Konstantinos, Pandey, Pankaj, Tzovaras, Dimitrios, Katsikas, Sokratis K., Collen, Anastasija, Nijdam, Niels A., Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Gelenbe, Erol, editor, Campegiani, Paolo, editor, Czachórski, Tadeusz, editor, Katsikas, Sokratis K., editor, Komnios, Ioannis, editor, Romano, Luigi, editor, and Tzovaras, Dimitrios, editor

Published
2018
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7. Simulating Heterogeneous Clouds at Scale

Author

Filelis-Papadopoulos, Christos K., Giannoutakis, Konstantinos M., Gravvanis, George A., Kouzinopoulos, Charalampos S., Makaratzis, Antonios T., Tzovaras, Dimitrios, Lynn, Theo, Series Editor, Morrison, John P., editor, and Kenny, David, editor

Published
2018
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14. Energy Autonomous Wireless Sensing Node Working at 5 Lux from a 4 cm 2 Solar Cell.

Author

Meli, Marcel Louis, Favre, Sebastien, Maij, Benjamin, Stajic, Stefan, Boebel, Manuel, Poole, Philip John, Schellenberg, Martin, and Kouzinopoulos, Charalampos S.

Subjects
SOLAR cells, ENERGY harvesting, CAPACITIVE sensors, LIGHT sources, ENERGY storage, TACTILE sensors, LIGHT emitting diodes
Abstract

Harvesting energy for IoT nodes in places that are permanently poorly lit is important, as many such places exist in buildings and other locations. The need for energy-autonomous devices working in such environments has so far received little attention. This work reports the design and test results of an energy-autonomous sensor node powered solely by solar cells. The system can cold-start and run in low light conditions (in this case 20 lux and below, using white LEDs as light sources). Four solar cells of 1 cm2 each are used, yielding a total active surface of 4 cm2. The system includes a capacitive sensor that acts as a touch detector, a crystal-accurate real-time clock (RTC), and a Cortex-M3-compatible microcontroller integrating a Bluetooth Low Energy radio (BLE) and the necessary stack for communication. A capacitor of 100 μF is used as energy storage. A low-power comparator monitors the level of the energy storage and powers up the system. The combination of the RTC and touch sensor enables the MCU load to be powered up periodically or using an asynchronous user touch activity. First tests have shown that the system can perform the basic work of cold-starting, sensing, and transmitting frames at +0 dBm, at illuminances as low as 5 lux. Harvesting starts earlier, meaning that the potential for full function below 5 lux is present. The system has also been tested with other light sources. The comparator is a test chip developed for energy harvesting. Other elements are off-the-shelf components. The use of commercially available devices, the reduced number of parts, and the absence of complex storage elements enable a small node to be built in the future, for use in constantly or intermittently poorly lit places. [ABSTRACT FROM AUTHOR]

Published
2023
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25. AMANDA : an autonomous self-powered miniaturized smart sensing embedded system

Author

Kouzinopoulos, Charalampos S., Vujicic, Oskar, Tzovaras, Dimitrios, Bembnowicz, Pawel, Meli, Marcel, Bellanger, Mathieu, Kauer, Matthias, De Vos, Julien, Pasero, Denis, and Schellenberg, Martin

Subjects
Energy harvesting, Low power, Wireless, 004: Informatik, ComputingMilieux_LEGALASPECTSOFCOMPUTING, 7. Clean energy, Photovoltaic, 621.3: Elektrotechnik und Elektronik
Abstract

​© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works., This paper introduces an Autonomous Smart Sensing Card (ASSC), an embedded system that will be powered indoors and outdoors by harvested energy, have miniaturized dimensions and serve multi-sensorial IoT applications for smart living and working environments. It will consist of a combination of newly developed and optimized off-the-shelf or close-tocommercialization technologies such as PV harvesters, energy storage and power management units, MCUs and sensors, all packed with a form factor under 3mm in thickness. The system will introduce technical breakthroughs that will boost further miniaturization, a small footprint, ultra-low power consumption as well as short- and long-range communications.

26. AMANDA: An Autonomous Self-Powered Miniaturized Smart Sensing Embedded System

Author

Kouzinopoulos, Charalampos S., Tzovaras, Dimitrios, Bembnowicz, Pawel, Meli, Marcel, Bellanger, Mathieu, Kauer, Matthias, Vos, Julien De, Pasero, Denis, Schellenberg, Martin, and Vujicic, Oskar

Subjects
—Electronic smart systems, Embedded systems, Sensors, Microelectronics, Miniaturization, Autonomous operation, Energy harvesting, 7. Clean energy
Abstract

This paper introduces an Autonomous Smart Sensing Card (ASSC), an embedded system that will be powered indoors and outdoors by harvested energy, have miniaturized dimensions and serve multi-sensorial IoT applications for smart living and working environments. It will consist of a combination of newly developed and optimized off-the-shelf or close-tocommercialization technologies such as PV harvesters, energy storage and power management units, MCUs and sensors, all packed with a form factor under 3mm in thickness. The system will introduce technical breakthroughs that will boost further miniaturization, a small footprint, ultra-low power consumption as well as short- and long-range communications.

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