Wyniki wyszukiwania - BazTech

1

Zarządzanie wielowarstwowymi rozproszonymi zasobami w sieciach 5G-Advanced i 6G z zachowaniem bezpieczeństwa i prywatności danych

Wichary Tomasz, Batalla Jordi Mongay

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2023

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nr 4

399--402

PL

Następne generacje sieci mobilnych 5G-Advanced, 6G stwarzają nowe możliwości zastosowań dla przemysłu, gdzie wykorzystywane są inteligentne systemy sterowania aplikacjami przetwarzające informacje w czasie rzeczywistym. Przetwarzanie brzegowe umożliwia przybliżenie aplikacji do użytkownika końcowego np. urządzeń Internetu rzeczy i jednocześnie wprowadzania wysoce rozproszoną architekturę i złożoność operacyjną. Cały ekosystem wymaga orkiestracji od końca do końca, inteligentnego zarządzania i automatyzacji z uwzględnieniem aspektów bezpieczeństwa. W tym artykule przedstawiamy model reprezentacji zasobów w różnych warstwach oraz ich wzajemne relacje dla konkretnej realizacji sieci.

EN

New generations of 5G-Advanced, 6G mobile networks are creating new application opportunities for industry with intelligent application control systems that process information in real time. Edge processing enables applications to be brought closer to the end user, e.g., Internet of Things devices, while introducing highly distributed architecture and operational complexity. The entire ecosystem requires E2E orchestration, intelligent management, and automation with security constraints.

2

SmokeFinder - wspomagany algorytmami sztucznej inteligencji system wizyjnej detekcji dymu

Zuchniak Konrad, Kosk Eryk, Jaglarz Piotr

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2023

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nr 4

194--197

PL

SmokeFinder to system umożliwiający stałe analizowanie obrazu pochodzącego z kamer obserwacyjnych w celu wyszukiwania dymu w lesie. W przypadku wykrycia nawet niewielkich słupków dymu do operatora systemu wysyłane są ostrzeżenia. Zaawansowane algorytmy uczenia maszynowego analizują dane zebrane z kamery obserwacyjnej w czasie rzeczywistym. W przypadku wykrycia dymu ustalana jest jego lokalizacja. Dane z wielu kamer są łączone w celu usprawnienia akcji gaśniczej. W przypadku potwierdzenia zagrożenia automatycznie zaalarmowane zostaną odpowiednie lokalne jednostki straży pożarnej.

EN

SmokeFinder is a system that allows to constantly analyze the image from surveillance cameras in order to search for smoke in the forest. If even small pillars of smoke are detected, alerts are sent to the system operator. Advanced machine learning algorithms analyze the data collected from the observation camera in real time. If smoke is detected, its location is determined. Data from multiple cameras are combined to improve firefighting. If the threat is confirmed, the relevant local fire departments will be automatically alerted.

3

Attacks against communication and computing task classification and mitigation techniques

Younes Salmi, Bogucka Hanna

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2023

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nr 4

186--189

EN

Machine learning-based classification algorithms allow communication and computing (2C) task allocation to network edge servers. This article considers poisoning of classifiable 2C data features in two scenarios: noise-like jamming and targeted data falsification. These attacks have a fatal effect on classification in the feature areas with unclear decision boundary. We propose training and noise detection using the Silhouette Score to detect and mitigate attacks. We demonstrate effectiveness of our methods.

PL

Algorytmy klasyfikacji oparte na uczeniu maszynowym umożliwiają zoptymalizowaną alokację zadań telekomunikacyjnych i obliczeniowych (2C) do serwerów brzegowych sieci. W artykule omówiono ataki zatruwające, które mają negatywny wpływ na klasyfikację zadań 2C w obszarach, w których granica decyzyjna jest niejasna. Proponujemy metodę trenowania modelu oraz wykorzystanie testu Silhouette do wykrywania i unikania ataków. Wykazujemy skuteczność tych metod wobec rozważanych ataków.

4

Remote sensing detection and resource utilisation of urban sewage sludge based on mobile edge computing

Hu Weijie, Zhou Youfei, Lu Junying, Sheng Jun, Jin Zechen

Ecological Chemistry and Engineering. S

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2023

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Vol. 30, nr 2

275--282

EN

Improper disposal of municipal sewage sludge poses a significant threat to effective environmental protection. With the continuous advancement of artificial intelligence technology and the Internet of Things (IoT), remote sensing detection technology is emerging as a promising research avenue to address this issue. However, the current state of real-time detection technology is inadequate, hindering comprehensive and stable monitoring operation. Additionally, the rational use of network resources remains suboptimal. To address this challenge, this study proposes a resource optimisation technology for the current insufficient intelligent monitoring system of urban sewage sludge. By leveraging IoT and wireless technology, water meter data can be collected with minimal earth construction compared to traditional PLC collection. This is followed by utilising Faster R-CNN to plan the network transmission of sewage remote sensing information resources. Finally, the architecture collection module’s scalability is enhanced by incorporating edge computing and reserving sensor ports to meet future plant expansion demands. The experiment demonstrates the significant potential of this technology in application and resource optimisation. In actual parameter tracking tests, the proposed method effectively monitors sewage sludge, providing policy guidance and measure optimisation for relevant authorities, ultimately contributing to pollution-free urban development.

5

The performance of IIoT communication standards

Walczak Maciej, Hetmańczyk Mariusz

Diagnostyka

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2023

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Vol. 24, No. 3

art. no. 2023307

EN

The requirements of Industry 4.0 determine the necessity to change thinking in the field of production development, adopted management methods and modernisation of production resources. When planning the implementation of a new production system (or retrofit), it is possible to use the RAMI 4.0 reference model, which was published in April 2015 by the VDI/VDE Society Measurement and Automatic Control. A key aspect of modern industrial systems is connectivity and trouble-free data exchange. In the case of data exchange, the basic element holding back the development of Industry 4.0 is the lack of standardisation, as well as the lack of interoperability between IIoT network nodes. Modern IIoT applications require high network throughput, low latency and reliability. In view of such guidelines, efficient communication standards and specialised equipment are required. Edge Computing is one of the most important technology trends of the 21st century that will play a key role in the IIoT market. Due to the diversity of available technologies and solutions, no universal standards have been developed to date that can be referred to when planning, building and implementing new applications. The article presents an overview of the most popular industrial communication protocols and their systematisation in terms of meet the requirements for IIoT devices.

6

Decentralized device authentication for cloud systems with blockchain using skip graph algorithm

Sammy F., Vigila S. Maria Celestin

Computer Assisted Methods in Engineering and Science

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2023

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Vol. 30, no. 2

203--221

EN

Cloud computing provides centralized computing services to the user on demand. Despite this sophisticated service, it suffers from single-point failure, which blocks the entire system. Many security operations consider this single-point failure, which demands alternate security solutions to the aforesaid problem. Blockchain technology provides a corrective measure to a single-point failure with the decentralized operation. The devices communicating in the cloud environment range from small IoT devices to large cloud data storage. The nodes should be effectively authenticated in a blockchain environment. Mutual authentication is time-efficient when the network is small. However, as the network scales, authentication is less time-efficient, and dynamic scalability is not possible with smart contract-based authentication. To address this issue, the blockchain node runs the skip graph algorithm to retrieve the registered node. The skip graph algorithm possesses scalability and decentralized nature, and retrieves a node by finding the longest prefix matching. The worst time complexity is O(log n) for maximum n nodes. This method ensures fast nodal retrieval in the mutual authentication process. The proposed search by name id algorithm through skip graph is efficient compared with the state-of-art existing work and the performance is also good compared with the existing work where the latency is reduced by 30–80%, and the power consumption is reduced by 32–50% compared to other considered approaches.

7

Implementacja architektury system SyMEC

Bęben Andrzej, Burakowski Wojciech, Sosnowski Maciej, Więcek Dariusz, Olender Paweł, Belter Bartosz, Krakowiak Bartosz, Hoeft Michał, Miszewski Mariusz, Chomicki Adrian

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2022

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nr 4

315--319

PL

W artykule przedstawiono docelową architekturę systemu obliczeń na brzegu sieci, która została opracowana, zaimplementowana i wdrożona w ramach projektu SyMEC. W szczególności przedstawiono główne elementy opracowanego systemu, podstawowe realizowane procesy dotyczące zarządzania cyklem życia oferowanych aplikacji i usług MEC, a także doświadczenia wynikające z implementacji prototypu systemu SyMEC i jego wdrożenia w krajowej sieci badawczej PL-LAB 2020. W podsumowaniu przedstawiono kierunki dalszego rozwoju system SyMEC.

EN

The article presents the final design of the edge computing system developed by the SyMEC project. We describe the main elements of the developed system, the fundamental processes related to the lifecycle management of the MEC applications and services, and the experiences coming from the system deployment in the PL-LAB 2020 research network. The summary presents further research directions.

8

An architectural design for measurement uncertainty evaluation in cyber-physical systems

Pilar von Pilchau Wenzel, Gowtham Varun, Gruber Maximilian, Riedl Matthias, Koutrakis Nikolaos-Stefanos, Tayyub Jawad, Hähner Jörg, Eichstädt Sascha, Uhlmann Eckart, Polte Julian, Frey Volker, Willner Alexander

Annals of Computer Science and Information Systems

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2020

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Vol. 22

53--57

EN

Several use cases from the areas of manufacturing and process industry, require highly accurate sensor data. As sensors always have some degree of uncertainty, methods are needed to increase their reliability. The common approach is to regularly calibrate the devices to enable traceability according to national standards and Syst\`eme international (SI) units - which follows costly processes. However, sensor networks can also be represented as Cyber Physical Systems (CPS) and a single sensor can have a digital representation (Digital Twin) to use its data further on. To propagate uncertainty in a reliable way in the network, we present a system architecture to communicate measurement uncertainties in sensor networks utilizing the concept of Asset Administration Shells alongside methods from the domain of Organic Computing. The presented approach contains methods for uncertainty propagation as well as concepts from the Machine Learning domain that combine the need for an accurate uncertainty estimation. The mathematical description of the metrological uncertainty of fused or propagated values can be seen as a first step towards the development of a harmonized approach for uncertainty in distributed CPS in the context of Industrie 4.0. In this paper, we present basic use cases, conceptual ideas and an agenda of how to proceed further on.