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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Moore, Joshua Abdalla, Aly S. Ueltschey, Charles Marojevic, Vuk Mississippi State University Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798331517786

With the rise of 5G and open radio access networks (O-RAN), there is a growing demand for customizable experimental platforms dedicated to security testing, as existing testbeds do not prioritize this area. Traditional, hardware-dependent testing methods pose challenges for smaller companies and research institutions. The growing wireless threat landscape highlights the critical need for proactive security testing, as 5G and O-RAN deployments are appealing targets for cybercriminals. To address these challenges, this article introduces the Soft Tester UE (soft T-UE), a software-defined test equipment designed to evaluate the security of 5G and O-RAN deployments via the Uu air interface between the user equipment (UE) and the network. The outcome is to deliver a free, open-source, and expandable test instrument to address the need for both standardized and customizable automated security testing. By extending beyond traditional security metrics, the soft T-UE promotes the development of new security measures and enhances the capability to anticipate and mitigate potential security breaches. The tool's automated testing capabilities are demonstrated through a scenario where the Radio Access Network (RAN) under test is evaluated when it receives fuzzed data when initiating a connection with an UE. © 2024 IEEE.

关键词： Radio access networks

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On SINR Loss-Based Robust ABF Under Mismatch and Signal Contamination 58

On SINR Loss-Based Robust ABF Under Mismatch and Signal Cont...

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58th Asilomar Conference on Signals, Systems and computers, ACSSC 2024

作者： Bondre, Akshay S. Richmond, Christ D. School of Electrical Computer and Energy Engineering Arizona State University Tempe United States Duke University Department of Electrical and Computer Engineering Durham United States

ISBN: (纸本)9798350354058

The widely used diagonal loading approach for robust adaptive beamforming (RABF) is based on maximizing the signal-to-interference plus noise ratio (SINR) while constraining the gain against white noise of the desired beamforming weight vector. Alternatively, the SINR loss-constrained beamformer (SLCB) proposed by Richmond maximizes the gain against white noise while constraining the SINR loss relative to the optimal Capon beamformer. This paper investigates certain aspects of the SLCB under non-ideal conditions such as steering vector mis-match and unavailability of signal-free training data (challenges common to sonar processing). Under the ideal assumption of known data covariance, the expression for the output SINR under array position errors provided by Gilbert and Morgan is utilized to demonstrate the utility of the SLCB as well as the diagonal loading approach. In a practical scenario, the SLCB requires an estimate of the SINR loss based on the sample covariance matrix. The distribution for such an SINR loss estimate is derived under the scenario of steering vector mismatch, and the effect of the presence of the desired signal in the data covariance is discussed. An approach for estimating the interference-only covariance matrix, motivated by maximum likelihood estimation is also outlined. © 2024 IEEE.

关键词： White noise

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Silicon Photonic Adiabatic Low-pass/high-pass Filters Using Sub-wavelength Grating Waveguides

Silicon Photonic Adiabatic Low-pass/high-pass Filters Using ...

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2024 IEEE Photonics Conference, IPC 2024

作者： Hammood, Mustafa Lin, Stephen Chrostowski, Lukas Jaeger, Nicolas A. F. University of British Columbia Department of Electrical and Computer Engineering Vancouver Canada

We present the design of, and design methodology for, a low-pass/high-pass adiabatic filter on a silicon-on-insulator platform using sub-wavelength grating waveguides. We experimentally demonstrate a filter that has &... 详细信息

ISBN: (纸本)9798350361957

关键词： Low pass filters

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Adaptive Coordination of Time Overcurrent Relays (OCR) in a Radial Distribution Network with Distributed Generation using a Modified LINKNET Pairing Algorithm 10

Adaptive Coordination of Time Overcurrent Relays (OCR) in a ...

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10th International Conference on Automation, Robotics, and Applications, ICARA 2024

作者： Alejandre, Jussel D. Pacis, Michael C. Mapua University Department of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9798350394245

With the increasing demand of the grid as of today, power system structures continuously complexing that's why protection and coordination is a seemingly tedious task for relay engineers. This research aims to design an adaptive coordination that when a change in network topology occur, relay engineers can learn the primary and backup relay pairings of the power system and the relay settings fit for these pairing. The proposed design modified the LINKNET algorithm to adapt in a change in network topology that is originally designed for a fixed topology. The program is coded using Python programming language which is best for adapting Artificial Neural Network on the system, especially for the relay setting optimization. Simulated over 32 test cases of n - 1 contingency, the program was able to provide the primary and backup relay pairings and the optimal relay settings. The tests backed-up by statistical analysis using Mann - Whitney U test provided results of the time of operation for some cases are lower than 0.05 and some cases are larger than 0.05 with the reference case without the n - 1 contingency or no change in network topology. The program created was able to provide the desired relay pairings with optimal settings fir for coordination. This program helps relay engineers to ease their tasks as complex power systems increasingly prevalent. The program provided results that are validated in ETAP illustrating Time - Current Characteristic Curve that shows that when primary protection fails to trip, backup relays were the next to execute. © 2024 IEEE.

关键词： Network topology

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ResNet-Based Detection of SYN Flood DDoS Attacks 5

ResNet-Based Detection of SYN Flood DDoS Attacks

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Bazzi, Hiba S. Nassar, Ali H. Haidar, Imane M. Haidar, Ali M. Doughan, Ziad Beirut Arab University Department of Electrical and Computer Engineering Dibbieh Lebanon

ISBN: (纸本)9798350383522

This paper presents a novel approach to detect SYN flood Distributed Denial of Service (DDoS) attacks using the ResNet-50 architecture. DDoS attacks, known for their ability to disrupt normal network traffic through overwhelming floods, have evolved in complexity, rendering traditional detection methods inadequate. Our methodology is threefold: data acquisition from both simulated and real-world environments, data processing where network traffic data is converted into 2D images, and attack detection using a Convolutional Neural Network model. The model's performance was rigorously evaluated, demonstrating exceptional accuracy of 97.5%, which indicates the model's effectiveness in controlled environments. The ResNet-50 based model shows promising results in accurately classifying network traffic and identifying DDoS attacks. This not only validates the effectiveness of deep learning in cybersecurity but also opens avenues for more robust and adaptable network defense mechanisms. © 2024 IEEE.

关键词： Artificial intellegence Convolution neural network cybersecurity Machine learning network security

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A Joint Resource Allocation Algorithm for D2D Communication

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computers, Materials & Continua 2022年第2期70卷 3751-3762页

作者： Abdul Kadir Hamid Lamia Osman Widaa Fahd N.Al-Wesabi Imran Khan Anwer Mustafa Hilal Manar Ahmed Hamza Abu Sarwar Zaman Mohammed Rizwanullah Department of Electrical&Computer Engineering University of SharjahSharjahUnited Arab Emirates Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKSA&Faculty of Computer and ITSana’a UniversityYemen Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The emergence of multimedia services has meant a substantial increase in the number of devices in mobile networks and driving the demand for higher data transmission *** result is that,cellular networks must technically evolve to support such higher rates,to be equipped with greater capacity,and to increase the spectral and energy *** with 4G technology,the 5G networks are being designed to transmit up to 100 times more data volume with devices whose battery life is 10 times ***,this new generation of networks has adopted a heterogeneous and ultra-dense architecture,where different technological advances are combined such as device-to-device(D2D)communication,which is one of the key elements of 5G *** has immediate applications such as the distribution of traffic load(data offloading),communications for emergency services,and the extension of cellular coverage,*** this communication model,two devices can communicate directly if they are close to each other without using a base station or a remote access ***,eliminating the interference between theD2Dand cellular communication in the *** interference management has become a hot issue in current *** order to address this problem,this paper proposes a joint resource allocation algorithm based on the idea of mode selection and resource *** results showthat the proposed algorithm effectively improves the systemperformance and reduces the interference as compared with existing algorithms.

关键词： D2D communication resource allocation wireless networks mobile communication

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Learning Enabled Control for Optimal EPO Dosage in Virtual CKD Patients: Case of Bleeding and Missing Dosage 46

Learning Enabled Control for Optimal EPO Dosage in Virtual C...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Affan, Affan Inanc, Tamer University of Louisville Electrical and Computer Engineering Department KY United States

ISBN: (纸本)9798350371499

Traditional model-based control methods require predictive models to design control policies. These models often suffer limitations on dimensionality, uncertainty, and unmodeled dynamics. This affects the performance of control policy, especially, personalized drug dosing of erythropoietin (EPO) in chronic patients due to the narrow therapeutic window and highly nonlinear time-variant patient characteristics. It is more challenging in the events of bleeding and missing dosage. This paper investigates model-free Reinforcement Learning (RL) and adaptive model predictive control (AMPC) in the events of bleeding and missing dosages for precise EPO dosing in a virtual setting. In this research work, an AMPC policy and Deep Q-Network(DQN)-RL agent is trained for a virtual chronic kidney disease (CKD) patient to find the optimal EPO dosage to maintain the hemoglobin (Hgb) level between 10-12 g/dl. The simulation results show that AMPC and DQN-RL both can provide optimal results while meeting the constraints, however, DQN-RL is more computationally challenging and demands high *** relevance - This research work provides a framework to help clinicians in decision-making for personalized EPO dose guidance using model-free Reinforcement Learning (RL) and adaptive model predictive control (AMPC) in the events of bleeding and missing dosages. © 2024 IEEE.

关键词： Drug dosage

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Analysis and Desing of IPMSM for Reducing AC Copper Loss in EV Traction Motor 27

Analysis and Desing of IPMSM for Reducing AC Copper Loss in ...

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27th International Conference on electrical Machines and Systems, ICEMS 2024

作者： Wang, Chang-Hyeon Oh, Ho-Jin Yoon, Han-Joon Kim, Nam-Ho Jung, Sang-Yong Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9784886864406

This paper presents an analysis and design of an interior permanent magnet synchronous motor aimed at reducing AC copper loss in electric vehicle traction motors. Using the frozen permeability method, the AC copper loss was separated into field and armature components. The design was validated through finite element analysis, and performance improvements were confirmed by comparing the initial and Improved models. © 2024 The Institute of electrical Engineers of Japan.

关键词： Permanent magnets

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Recent Advancements on Cyber Security for Smart-Grids: A Survey

Recent Advancements on Cyber Security for Smart-Grids: A Sur...

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2023 International Conference in Advances in Power, Signal, and Information technology, APSIT 2023

作者： Samant, Indu Sekhar Panda, Subhasis Rout, Pravat Kumar Department of Computer Science Engineering Odisha India Department of Electrical Engineering Odisha India Department of Electrical and Electronics Engineering Odisha India

ISBN: (纸本)9798350339369

Smart grids are advanced power systems that have the potential to bring enormous benefits to power consumers and providers. Smart grids utilize advanced communication and information technologies to deliver power more efficiently, securely, and reliably. Cybersecurity is a critical concern in smart grid systems, as they rely heavily on networked technologies vulnerable to cyber threats. This paper provides an overview of recent advancements in cybersecurity for smart grids. The paper examines the threats and vulnerabilities of smart grids, reviews the state of art of cybersecurity for smart grids, and highlights some of the recent advancements that have been made to secure these systems. © 2023 IEEE.

关键词： Smart power grids

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Theoretical Performance Analysis of High-Efficiency InxGa1-xN/Si Tandem Solar Cells 3

Theoretical Performance Analysis of High-Efficiency InxGa1-x...

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3rd International Conference on Advancement in electrical and Electronic engineering, ICAEEE 2024

作者： Tanvir, Md. Farhan Jannatul Islam, A.S.M. Bhuiyan, Ashraful G. Khulna University of Engineering & Technology Department of Electrical and Electronic Engineering Khulna9203 Bangladesh

ISBN: (纸本)9798350388282

Owing to its intriguing optical and electrical characteristics, the In x Ga 1-xN alloy is being widely considered as a possible silicon (Si) combo for developing low-cost, high-efficiency multi-junction solar cells. This work reports the theoretical design and performance analysis of In x Ga 1-xN /Si double junction tandem solar cells utilizing the wxAMPS simulator. The variation of In concentration, active layer thicknesses, and doping levels are considered to achieve optimized In x Ga 1-xN /Si tandem solar cells that produce superior efficiency. Our proposed solar cells have an impressive efficiency (η) of 32.92%, a fill factor (FF) of 89.49%, a short-circuit current (J sc ) of 12.32 mA /cm 2 , and an excellent open-circuit voltage (V oc ) of 2.99 V. These findings of the In x Ga 1-xN /Si tandem solar cells would be helpful for rethinking the design paradigm of present multi-junction solar cells and provide a path to achieving superior efficiency with a low-cost In x Ga 1-xN /Si tandem structure. © 2024 IEEE.

关键词： Silicon

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