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arXiv 2024年

作者： Varotto, Matteo Valentin, Stefan Tomasin, Stefano Dep. of Computer Science Darmstadt University of Applied Sciences Germany Dep. of Information Engineering Dep. of Mathematics University of Padova Italy

Cellular networks are potential targets of jamming attacks to disrupt wireless communications. Since the fifth generation (5G) of cellular networks enables mission-critical applications, such as autonomous driving or smart manufacturing, the resulting malfunctions can cause serious damage. This paper proposes to detect broadband jammers by an online classification of spectrograms. These spectrograms are computed from a stream of in-phase and quadrature (IQ) samples of 5G radio signals. We obtain these signals experimentally and describe how to design a suitable dataset for training. Based on this data, we compare two classification methods: a supervised learning model built on a basic convolutional neural network (CNN) and an unsupervised learning model based on a convolutional autoencoder (CAE). After comparing the structure of these models, their performance is assessed in terms of accuracy and computational complexity. © 2024, CC BY.

关键词： Convolution

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Detecting 5G Signal Jammers Using Spectrograms with Supervised and Unsupervised Learning

Detecting 5G Signal Jammers Using Spectrograms with Supervis...

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IEEE International Conference on Communications Workshops, ICC

作者： Matteo Varotto Stefan Valentin Stefano Tomasin Dep. of Computer Science Darmstadt University of Applied Sciences Germany Dep. of Information Engineering Dep. of Mathematics University of Padova Italy

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

关键词： Wireless communication 5G mobile communication Computational modeling Data models Convolutional neural networks Synchronization Jamming

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A Region-Wide Cost-Benefit Assessment of Residential V2G Participation in Demand Response

A Region-Wide Cost-Benefit Assessment of Residential V2G Par...

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Canadian Conference on Electrical and computer engineering (CCECE)

作者： Khunsha Nasr Hany Farag Shivam Saxena Dep. Of Electrical Engineering and Computer Science York University Toronto Canada Dep. Of Electrical Engineering and Computer Engineering University of New Brunswick Fredericton Canada

ISBN: (数字)9798350371628

ISBN: (纸本)9798350371635

Participation of Electric Vehicles (EVs) in providing grid services is becoming popular for the economic benefits to their stakeholders, i.e., Local Distribution Companies (LDCs), ratepayers, and EV owners. Battery Electric Vehicles can be effectively used for power system applications such as demand response and peak shaving. However, there is a lack of region-wide cost-benefit analysis of Vehicle to Grid (V2G) participation in providing grid services. Thus, this paper introduces a model that could be utilized to perform residential V2G mainly to evaluate its effect on non-participating ratepayers as a measure of fairness. The developed model yields the benefit-to-cost ratios (BCRs) for LDCs (administrators), ratepayers (those who don’t participate in V2G), and EV owners (participants).

关键词： Vehicle-to-grid Sensitivity analysis Particle measurements Demand response US dep.rtment of Defense Power systems Stakeholders

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Recurrent Penalized Splines for Real-Time Forecasting of the Parameters of Technical systems

Recurrent Penalized Splines for Real-Time Forecasting of the...

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2023 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2023

作者： Kochegurova, Elena Kaida, Anastasiia Galkina, Maria Tomsk Polytechnic University Information Systems and Technologies Dep. Tomsk Russia Tomsk Polytechnic University School of Nuclear Science and Engineering Tomsk Russia

ISBN: (纸本)9781665475952

Forecasting time series (TS) from their historical data is used in many preventive monitoring and decision support systems in industry. For systems operating in real-time, an urgent problem is to reduce forecasting time without compromising other quality indexes (accuracy and trend continuation). The purpose of this paper is to describe a forecasting model based on a recurrent penalized P-spline. The spline model has a compact computational scheme where the efficiency is achieved by using a short input of historical data a simple mathematical description. The model was compared to 11 most well-known forecasting algorithms. The performance of the proposed model compared quite well to the competitive forecasting algorithms. The model was used to forecast a real-world TS of a technological parameter of a boiler plant. © 2023 IEEE.

关键词： Decision support systems

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A Proposed Approach for Risk Planning and Management 25

A Proposed Approach for Risk Planning and Management

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Al Refai, Mohammed N. Al-Smadi, Yazan Al-Momani, Adai Jamhawi, Zeyad M. Otoom, Ahmed Ali Atoum, Issa Yaseen, Ahid Ababneh, Jafar Kanan, Mohammad Zarqa University Software Engineering Dep. Zarqa Jordan Zarqa University Department of Computer Science Zarqa Jordan Applied Science Private University Department of Computer Science Amman Jordan Applied Science Private University Department of Cyber Security Amman Jordan Philadelphia University Faculty of Information Technology Software Engineering Department Jordan Zarqa University Department of Cyber Security Zarqa Jordan University of Business and Technelogy Dep. of Industry Engineering Jeddah21432 Saudi Arabia

ISBN: (纸本)9798331540012

Project Risk management is the process of identifying, evaluating, avoiding, or reducing risks. Where there is no software project without risks existence are natural in the context of project planning and management. This study focuses on proposing an enhanced risk management approach where testing phases were added to make the risk management process more effective by proposing solutions to many mistakes and challenges that occur through dealing with risks. The proposed approach focuses on dealing with risks that cannot be easily defined, more accurate risk evaluation, planning, and managing risk coordinated with a contingency plan. © 2024 IEEE.

关键词： Project management

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Standardization Review on 5G LAN-Type Service 15

Standardization Review on 5G LAN-Type Service

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Kyung, Yeunwoong Lee, Donghun Lee, Jaewook Kim, Youngjun Ko, Haneul Oh, Seungmin Lee, Jaehwan Kongju National University Div. of Info. & Comm. Eng. Cheonan Korea Republic of Pukyong National University Dep. of Info. and Comm. Engineering Busan Korea Republic of School of Computer Science and Eng. Kyungnam University Changwon Korea Republic of Kyung Hee University Dep. of Electronic Eng. Yongin-si Korea Republic of Kongju National University Dep. of Computer Science and Eng. Cheonan Korea Republic of

ISBN: (纸本)9798350364637

The 5G LAN-type service refers to a service that supports communication between users within a group through the 5G system. It provides functions similar to those of traditional Local Area Networks (LAN) or Virtual Private Networks (VPN), but it gains attention across various services due to the enhanced performance of 5G such as high throughput, low latency, mobility management, and security. The 3rd Generation Partnership Project (3GPP) introduced the 5G LAN-type service in Release 16 and defined the architecture, protocols, and requirements to support the 5G LAN-type service. In this paper, we briefly examine the architecture and components of the 5G network based on the 3GPP standard and introduce the structure and protocols for supporting 5G LAN-type services in a 5G network. © 2024 IEEE.

关键词： 5G mobile communication systems

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PDU Set-Based Traffic Handling for XR Service Support in 5G User Plane 15

PDU Set-Based Traffic Handling for XR Service Support in 5G ...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Kyung, Yeunwoong Lee, Donghun Lee, Jaewook Ko, Haneul Oh, Seungmin Lee, Jaehwan Kim, Youngjun Kongju National University Div. of Info. & Comm. Eng. Cheonan Korea Republic of Pukyong National University Dep. of Info. and Comm. Engineering Busan Korea Republic of Kyung Hee University Dep. of Electronic Eng. Yongin-si Korea Republic of Kongju National University Dep. of Computer Science and Eng. Cheonan Korea Republic of School of Computer Science and Eng. Kyungnam University Changwon Korea Republic of

ISBN: (纸本)9798350364637

To support XR services, the 3GPP standards intro-duce a protocol data unit (PDU) set, which is the minimum group of packets needed to carry a video frame, and also define the relative importance of different PDU sets. This allows the network operator to handle network traffic based on the importance of PDU sets. 3GPP standards define two options for PDU set-based traffic handling in the user plane: 1) gNB-based and 2) UPF-based. This paper introduces a basic concept of PDU set and specifies two procedures for PDU set-based traffic handling in the user plane. © 2024 IEEE.

关键词： 5G mobile communication systems

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An Enhanced Subject-Indep.ndent Approach for Hand-Based Micro Activities Recognition

An Enhanced Subject-Independent Approach for Hand-Based Micr...

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Omni-layer Intelligent systems (COINS), International Conference on

作者： Florenc Demrozi Fadi Al Machot Dep. of Electrical Engineering and Computer Science University of Stavanger Norway Dep. of Data Science Norwegian University of Life Sciences Norway

ISBN: (数字)9798350349597

ISBN: (纸本)9798350349603

Human activity recognition (HAR) is crucial in various fields, including healthcare, assistive technologies, and human-computer interaction. Recognizing hand-based micro activities presents a unique challenge due to their complexity and variability. In this paper, we propose a novel HAR methodology to identify 24 distinct hand-based Activities of Daily Living (ADLs) using data from a wrist-weared inertial sensor. Our approach, tested on a dataset of 30 participants, employs a unique two- level segmentation and lightweight machine-learning model to handle the complex dynamics of micro-ADLs. The experimental outcomes, showcasing an overall accuracy of 84% and precision, recall, and F1-Scores above 83% underscore the method's efficacy and subject-indep.ndent reliability compared to the existing literature on micro-ADL recognition.

关键词： Human computer interaction Inertial sensors Tiny machine learning Medical services Assistive technologies Complexity theory Human activity recognition

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One-Class Classification as GLRT for Jamming Detection in Private 5G Networks

arXiv

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arXiv 2024年

作者： Varotto, Matteo Valentin, Stefan Ardizzon, Francesco Marzotto, Samuele Tomasin, Stefano Dep. of Computer Science Darmstadt University of Applied Sciences Germany Dep. of Information Engineering University of Padova Italy

Fifth-generation (5G) mobile networks are vulnerable to jamming attacks that may jeopardize valuable applications such as industry automation. In this paper, we propose to analyze radio signals with a dedicated device to detect jamming attacks. We pursue a learning approach, with the detector being a convolutional neural network (CNN) implementing a generalized likelihood ratio test (GLRT). To this end, the CNN is trained as a two-class classifier using two datasets: one of real legitimate signals and another generated artificially so that the resulting classifier implements the GLRT. The artificial dataset is generated mimicking different types of jamming signals. We evaluate the performance of this detector using experimental data obtained from a private 5G network and several jamming signals, showing the technique's effectiveness in detecting the attacks. © 2024, CC BY-NC-ND.

关键词： 5G mobile communication systems

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One-Class Classification as GLRT for Jamming Detection in Private 5G Networks

One-Class Classification as GLRT for Jamming Detection in Pr...

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IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Matteo Varotto Stefan Valentin Francesco Ardizzon Samuele Marzotto Stefano Tomasin Dep. of Computer Science Darmstadt University of Applied Sciences Germany Dep. of Information Engineering University of Padova Italy

ISBN: (数字)9798350393187

ISBN: (纸本)9798350393194

关键词： Wireless communication Accuracy 5G mobile communication Supervised learning Detectors Signal processing Threat assessment Convolutional neural networks Jamming Unsupervised learning

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