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Consumer Communications and Networking Conference, CCNC IEEE

作者： Ioannis Mavromatis Adrian Sanchez-Mompo Francesco Raimondo James Pope Marcello Bullo Ingram Weeks Vijay Kumar Pietro Carnelli George Oikonomou Theodoros Spyridopoulos Aftab Khan Bristol Research and Innovation Laboratory (BRIL) Toshiba Europe Ltd. Bristol UK Department of Electrical and Electronic Engineering University of Bristol Bristol UK Department of Engineering Mathematics University of Bristol Bristol UK School of Computer Science and Informatics Cardiff University Cardiff UK

Data integrity becomes paramount as the number of Internet of Things (ioT) sensor deployments increases. Sensor data can be altered by benign causes or malicious actions. Mechanisms that detect drifts and irregularities can prevent disruptions and data bias in the state of an IoT application. This paper presents LE3D, an ensemble framework of data drift estimators capable of detecting abnormal sensor behaviours. Working collaboratively with surrounding ioT devices, the type of drift (natural/abnormal) can also be identified and reported to the end-user. The proposed framework is a lightweight and unsupervised implementation able to run on resource-constrained IoT devices. Our framework is also generalisable, adapting to new sensor streams and environments with minimal online reconfiguration. We compare our method against state-of-the-art ensemble data drift detection frameworks, evaluating both the real-world detection accuracy as well as the resource utilisation of the implementation. Experimenting with real-world data and emulated drifts, we show the effectiveness of our method, which achieves up to 97% of detection accuracy while requiring minimal resources to run.

关键词： Performance evaluation Data privacy Scalability Data integrity Distributed databases Detectors Internet of Things

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Assessing the Electrical Energy Consumption for Designing and Developing an Energy Management System in an Educational Building in Romania

Assessing the Electrical Energy Consumption for Designing an...

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International Universities Power engineering Conference (UPEC)

作者： Timea Farkas Gianfranco Chicco Levente Czumbil Andrei Ceclan Alexandru-George Berciu Alexis Polycarpou Dan D. Micu Energy Transition Research Center Technical University of Cluj-Napoca Cluj-Napoca Romania Dipartimento Energia “Galileo Ferraris” Politecnico di Torino Torino Italy Department of Electrical Engineering Computer Engineering and Informatics Frederick University Nicosia Cyprus

The building sector along with more and more inside or nearby-supplied EV mobility are a key pillar in the efforts of decarbonisation and achieving a Net Zero Emissions scenario by 2050 and even earlier. Without immediate action in the energy management and control automated systems, the building sector will not align with the decarbonisation goals. Energy management systems play a crucial role in managing energy usage and rely on forecasting algorithms and energy management schemes. A case study on a demo site pilot was conducted on the main building of the Faculty of Building engineering Services at the Technical University of Cluj-Napoca, Romania. The study aims to assess electrical energy consumption and bidirectional flows, and to identify key correlations between factors, using multilinear regression as well as consumption pattern identification. Two scenarios are proposed and assessed.

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Enhancing Security on Indonesian E-health Cloud

Enhancing Security on Indonesian E-health Cloud

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Advanced Technologies in Intelligent Control, Environment, Computing & Communication engineering (ICATIECE), International Conference on

作者： Sarah Syahwenni Utari RB Madhumala Sri Chusri Haryanti Ummi A. Rachmawati Sri Puji Utami Atmoko Iswandi Department of Informatics Universitas YARSI Jakarta Indonesia Department of Information Science & Engineering DSATM Bangalore India Department of Computer Science Universitas Muhammadiyah Bangka Belitung Bangka Indonesia

ISBN: (纸本)9781665493970

The cloud computing adoption in e-health has improved health services and research. An e-health cloud deployment model for Indonesia have been proposed. In this work, we simulated the e-health cloud model and implemented virtual firewalls to enhance its security. We examined the performance of the firewalls under a distributed denial of service (DDoS) attacks. The virtualization environment for the cloud utilized Proxmox VE, and the firewalls applied a modified ConfigServer & Firewall (CSF). DDoS-blocking scripts are modified to block IPs from attackers. First, we investigated the cloud without virtual firewalls. The average time a server could survive a DDoS attack is examined. Second, the virtual firewall capability is verified. The result shows that the average time of a server surviving a DDoS attack is 197.26 seconds, with a standard deviation is 52.99 seconds. The virtual firewall managed to block the attacker's IP address, and the server could cope a DDoS attack.

关键词： Cloud computing Firewalls (computing) Computational modeling Denial-of-service attack Servers Security IP networks

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Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches

Benchmarking Advanced Text Anonymisation Methods: A Comparat...

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International Conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Dimitris Asimopoulos Ilias Siniosoglou Vasileios Argyriou Thomai Karamitsou Eleftherios Fountoukidis Sotirios K. Goudos Ioannis D. Moscholios Konstantinos E. Psannis Panagiotis Sarigiannidis R&D Department MetaMind Innovations P.C. Kozani Greece Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Sidroco Holdings Ltd. Nicosia Cyprus Department of Networks and Digital Media Kingston University Kingston upon Thames United Kingdom Physics Department Aristotle University of Thessaloniki Thessaloniki Greece Department of Informatics and Telecommunications Department University of Peloponnese Tripoli Greece Department of Applied Informatics School of Information Sciences University of Macedonia Thessaloniki Greece

ISBN: (数字)9798350385427

ISBN: (纸本)9798350385434

In the realm of data privacy, the ability to effectively anonymise text is paramount. With the proliferation of deep learning and, in particular, transformer architectures, there is a burgeoning interest in leveraging these advanced models for text anonymisation tasks. This paper presents a comprehensive benchmarking study comparing the performance of transformer-based models and Large Language Models(LLM) against traditional architectures for text anonymisation. Utilising the CoNLL-2003 dataset, known for its robustness and diversity, we evaluate several models. Our results showcase the strengths and weaknesses of each approach, offering a clear perspective on the efficacy of modern versus traditional methods. Notably, while modern models exhibit advanced capabilities in capturing contextual nuances, certain traditional architectures still keep high performance. This work aims to guide researchers in selecting the most suitable model for their anonymisation needs, while also shedding light on potential paths for future advancements in the field.

关键词： Deep learning Data privacy Circuits and systems Benchmark testing Transformers Robustness Task analysis

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Parametric Analysis of Transimpedance Converters with Extended Functionality

Parametric Analysis of Transimpedance Converters with Extend...

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International Conference on Modern Problems of Radio engineering, Telecommunications and computer Science

作者： Nazar Barylo Roman Holyaka Oksana Boyko Oleh Adamiak Mykola Brych Yurii Shliusar Department of Electronic Engineering Lviv Polytechnic National University Lviv Ukraine Department of Electronic Means of Information and Computer Technologies Lviv Polytechnic National University Lviv Ukraine Department of Medical Informatics Danylo Halytsky Lviv National Medical University Lviv Ukraine Department of Telecommunications Lviv Polytechnic National University Lviv Ukraine

ISBN: (数字)9798331520564

ISBN: (纸本)9798331520571

This paper presents the results of a study on modified transimpedance amplifier circuits aimed at expanding their functionality. Using SPICE simulations, the impact of varying reference voltages on the output signal of the amplifiers was analyzed, allowing for the isolation and quantitative evaluation of the contributions of the photodiode and photo resistive conversion mechanisms. The results demonstrate that the proposed modifications enable the acquisition of informative signals carrying information about the photodiode and photoresistive components of the photocurrent. Additionally, it was found that the modifications affect the stability of transient processes and the impedance characteristics of the amplifiers. Based on the conducted research, a method for in-situ diagnostics of organic structures with the selection of the photodiode and photoresistive components of organic photostructures has been developed.

关键词： Electric potential Analytical models Circuits Transfer functions Frequency conversion Photodiodes Photoconductivity Impedance Transient analysis Integrated circuit modeling

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Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels

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Journal of Optical Communications 2024年第0期45卷 s475-s493页

作者： Zaki Rashed, Ahmed Nabih Ahammad, S.K. Hasane Daher, Malek G. Zyoud, Samer H. Sorathiya, Vishal Montalbo, Francis Jesmar P. Asaduzzaman, Sayed Rehana, Hasin Zuhayer, Asif Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf32951 Egypt Department of ECE Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522302 India Physics Department Islamic University of Gaza P.O. Box 108 Gaza Palestine Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Ajman University Ajman United Arab Emirates School of Physics Universiti Sains Malaysia Penang11800 Malaysia Faculty of Engineering and Technology Parul Institute of Engineering and Technology Parul University Waghodia Road Gujarat Vadodara391760 India College of Informatics and Computing Sciences Batangas State University Batangas4200 Philippines Department of Computer Science and Engineering Rangamati Science and Technology University Rangamati Bangladesh Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Electronics & Telecommunication Engineering Chittagong University of Engineering and Technology Chattogram4349 Bangladesh

This study clarifies the data error rates optimization for OFC/OWC channels based on different transmission codes. These codes that are namely multi bits/symbol digital pulse interval modulation (DPIM), multi bits/symbol pulse position modulation (PPM), nonreturn to zero inverted (NRZI), 4 bit data symbol/5 bit code (4B5B), and Manchester for upgrading optical wired/wireless communication systems. The optical power through OFC/OWC channels, S/N ratio, the output power at the receiver side are stimulated with high bit transmission rates. The effects of coding complexity on the Q-factor, BER, optical power, and electrical received power are also stimulated using both DPIM and PPM coding. © 2022 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Bit error rate

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ProBLeSS: A Proactive Blockchain Based Spectrum Sharing Protocol Against SSDF Attacks in Cognitive Radio IoBT Networks

IEEE Networking Letters

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IEEE Networking Letters 2020年第2期2卷 67-70页

作者： Patnaik, Milan Prabhu, G. Rebeiro, Chester Matyas, Vashek Veezhinathan, Kamakoti Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai600036 India Faculty of Informatics Masaryk University Brno Czech Republic

Spectrum Sharing Data Falsification (SSDF) attacks can cause heavy performance degradation to Cognitive Radio (CR) based Internet of Battlefield Things (IoBT) networks. The challenge in such networks is to handle this security problem real time, in addition to spectrum sharing. This requires a robust CR architecture and protocol that can provide integrity of the spectrum sensing data being shared between Secondary Users (SUs) for collaborative spectrum decisions in protocols like PROLEMus. We propose one such protocol called Proactive Blockchain based Spectrum Sharing (ProBLeSS) protocol which leverages a blockchain to provide security against SSDF attacks in CR-IoBT networks. © 2019 IEEE.

关键词： Blockchain

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Wide-range Angle-sensitive Plasmonic Color Printing with a Lossy Resonator

Wide-range Angle-sensitive Plasmonic Color Printing with a L...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chowdhury, Sarah N. Simon, Jeffrey Nowak, Michal P. Prokopeva, Ludmila J. Pagadala, Karthik Fruhling, Colton Nyga, Piotr Bravo, Esteban Garcia Kildishev, Alexander V. Shalaev, Vladimir M. School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue University 1205 W State St West LafayetteIN47906 United States Institute of Optoelectronics Military University of Technology 2 Kaliskiego St Warsaw00-908 Poland Institute of Physics Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Toruń87-100 Poland Department of Computer Graphics Technology Purdue University 401 N. Grant St Knoy Hall West LafayetteIN47907 United States

We demonstrate a wide gamut of color generation by large-scale, lithography-free, and environment-friendly plasmonic structures with a resolution of 100 urn for macroscopic color printing by utilizing femtosecond lase... 详细信息

ISBN: (纸本)9781957171258

关键词： Color

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Research on the Application of computer Vision Based on Deep Learning in Autonomous Driving Technology

arXiv

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arXiv 2024年

作者： Zhang, Jingyu Cao, Jin Chang, Jinghao Li, Xinjin Liu, Houze Li, Zhenglin Division of the Physical Sciences The University of Chicago ChicagoIL United States Dallas TX United States The Kyoto College of Graduate Studies for Informatics Kyoto Japan Department of Computer Science Columbia University New YorkNY United States Department of Computer Science New York University New YorkNY United States Department of Computer Science and Engineering Texas A&M University College StationTX United States

This research aims to explore the application of deep learning in autonomous driving computer vision technology and its impact on improving system performance. By using advanced technologies such as convolutional neural networks (CNN), multitask joint learning methods, and deep reinforcement learning, this article analyzes in detail the application of deep learning in image recognition, real-time target tracking and classification, environment perception and decision support, and path planning and navigation. Application process in key areas. Research results show that the proposed system has an accuracy of over 98% in image recognition, target tracking and classification, and also demonstrates efficient performance and practicality in environmental perception and decision support, path planning and navigation. The conclusion points out that deep learning technology can significantly improve the accuracy and real-time response capabilities of autonomous driving systems. Although there are still challenges in environmental perception and decision support, with the advancement of technology, it is expected to achieve wider applications and greater capabilities in the future. potential. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Design and implementation of obstacle detection system for powered wheelchairs 7

Design and implementation of obstacle detection system for p...

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7th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2022

作者： Tatsis, Giorgos Koritsoglou, Kyriakos Fudos, Ioannis Karvounis, Evaggelos Votis, Konstantinos Tzovaras, Dimitrios Information Technologies Institute Centre for Research and Technology Hellas Ioannina Greece Information Technologies Institute Centre for Research and Technology Hellas Thermi57001 Greece University of Ioannina Dept of Computer Science and Engineering Ioannina Greece University of Ioannina Campus of Arta Department of Informatics and Telecommunications Arta Greece

ISBN: (数字)9798350398588

ISBN: (纸本)9798350398588

In this paper a detailed description of the design and implementation of a system capable of detecting various obstacles for wheelchairs is provided. This system is part of a larger project that its goal is to create intelligent applications for patients using powered wheelchairs. The system is implemented on an electric wheelchair using low-cost ultrasonic and infrared sensors. All tests took place in indoor environment inside our laboratories, and the performance of the system is found to be adequate for the purposes of our project. © 2022 IEEE.

关键词： Ultrasonic applications

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