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5th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2025

作者： Abdel-Ghaffar, Khaled A. S. University of California Dept. Electrical and Computer Engineering DavisCA95616 United States

ISBN: (纸本)9798331519957

The undetected error probability of cyclic redundancy checks (CRC) combined with an error-correcting code in a concatenated coding scheme is considered. It is shown that this probability depends very much on the encoding of the cyclic redundancy checked sequences into codewords in the error-correcting code. Furthermore, it is proved that the average undetected error probability of the concatenated code over all linear encoders of the error-correcting code is about 1/2 of that of the error-correcting code, where is the degree of the CRC polynomial. In particular, for any CRC polynomial of degree , there exists an encoding function of the error-correcting code such that the undetected error probability of the concatenated scheme is at most 1/2 of that of the error-correcting code. © 2025 IEEE.

关键词： Concatenated codes

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Observation-Transformed Distributed Detection in Sensor Networks 59

Observation-Transformed Distributed Detection in Sensor Netw...

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59th Annual Conference on Information sciences and Systems, CISS 2025

作者： Cao, Lei Viswanathan, Ramanarayanan University of Mississippi Dept. of Electrical and Computer Engineering OxfordMS38677 United States

ISBN: (纸本)9798331513269

Distributed detection (DD) plays a crucial role in sensor networks, where sensors gather data from a region of interest and report their observations to a fusion center (FC). The FC then makes a decision regarding a specific task, such as determining the presence or absence of a target. Given the constraints imposed by the transmission power, bandwidth, and noise impact in both sensing and data reporting channels, what should be reported from the sensors significantly affects the final detection accuracy. Existing methods include observation-untransformed DD (UDD), codewords-based DD (CDD), and quantized-but-uncoded DD (QDD). In this paper, we attempt to find the optimal sensor decision rule, i.e., the best transform for the observed data to be reported, by formulating the task as a functional optimization problem. To bypass the difficulty of theoretically solving the problem, we present two methods: an approximation function and a numerical solution for the Gaussian noise case. Our simulation results demonstrate that a variation of the hyperbolic tangent function can be an effective approximation of the optimal transform. This work could lead to further studies on the optimal design for distributed detection. © 2025 IEEE.

关键词： Hyperbolic functions

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DURATION-BASED INVESTIGATION OF USER CONTENT CHOICES IN THE EXIT OF FILTER BUBBLES 6

DURATION-BASED INVESTIGATION OF USER CONTENT CHOICES IN THE ...

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6th International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2024

作者： Bunza, Rabiatu DEPT. OF COMPUTER SCIENCE FACULTY OF SCIENCE AND ENGINEERING SWANSEA UNIVERSITY United Kingdom

ISBN: (纸本)9798350394634

Content personalization on social platforms has been linked to the creation of filter bubbles. The algorithms provide content recommendations based on the user’s browsing history and interests, which limits content diversity. Studies have been conducted on platforms such as Facebook and YouTube to investigate user awareness and strategies to exit filter bubbles. However, no study has employed a multi-platform, user-centered perspective in investigating filter bubble exit through change in search content, as well as the duration of the content transition across multiple platforms. This study examines the duration of user exit of filter bubbles, across three social platforms;TikTok, YouTube Shots, and Instagram Reels, as well as the impact of word similarity on the duration of the transition between contents, across the platforms. The methodology applied involved triggering the filter bubble effect through user interactions with the search content across the different platforms. Findings revealed that the mean time of a transition between search terms on TikTok is significantly higher than the mean time on Instagram reels, and YouTube shorts. Similarly, the study identified differences in the duration of transition across the different platforms, due to the similarity of the search terms. Apart from improving user awareness of a filter bubble exit strategy, this study contributes to Human-computer Interaction research by highlighting some design implications for future social media application design. © 2024 IEEE.

关键词： Social networking (online)

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High-Power Dual-Polarized Reconfigurable Reflectarray with All-Metal Antenna and Stacked Phase Shifters

High-Power Dual-Polarized Reconfigurable Reflectarray with A...

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2025 United States National Committee of URSI National Radio science Meeting, USNC-URSI NRSM 2025

作者： Hossain, Muhammad Mubasshir Valera, Tatiana Venkatakrishnan, Satheesh B. Volakis, John L. Electrical and Computer Engineering Dept. Florida International University MiamiFL United States

ISBN: (纸本)9781946815200

High-power all-metal antenna arrays with dual-polarization and wide-angle scanning capabilities are well-suited for directed energy applications. Keeping this in consideration, a dual-polarized reconfigurable reflectarray is proposed to maximize the effective isotropic radiated power (EIRP) of a high-power phased array system. © 2025 USNC-URSI.

关键词： Reflection

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Back EMF Protection Circuit Design and Modeling Method of the PMSM of the Small Autonomous Underwater Vehicle by Underwater Discharge

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Transactions of the Korean Institute of electrical Engineers 2022年第5期71卷 471-478页

作者： Cho, Won-Hyo Lee, Byoung Kuk Dept. of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

In this paper, we identify the electric power problem of the high-speed underwater discharge in a small autonomous underwater vehicle(AUV) and propose a circuit design method to protect it. High-speed underwater discharge of an AUV arouse propeller rotates due to the water flow. Excessive initial propeller rotation generates a back EMF of the motor and causes a voltage increase at the DC terminal of the inverter. To figure out this problem, a simulation was performed to limit the back EMF in a simplified environment. Then, a simulation-based controller protection circuit was proposed. Finally, the validity of the proposed simulation and the superiority of the protection circuit were confirmed through the actual underwater discharge test. Copyright © The Korean Institute of electrical Engineers

关键词： Autonomous underwater vehicles

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Robust Image Based Visual Servoing of Omnidirectional Mobile Manipulator

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Transactions of the Korean Institute of electrical Engineers 2022年第1期71卷 132-139页

作者： Jo, Kangmin Chwa, Dongkyoung Dept. of Electrical and Computer Engineering Ajou University Korea Republic of

This paper proposes robust image based visual servoing of an omnidirectional mobile manipulator using integral sliding mode control to compensate for the uncertainty that may occur while performing the image-based visual servoing. The stability of the overall omnidirecitonal mobile manipulator system using the proposed method is proven by the Lyapunov stability analysis by showing that the error stays on the sliding surface always and asymptotically converges to zero. In order to solve the singularity problem that can occur when controlling the omnidirectional mobile robot and the manipulator at the same time, a switching technique is proposed in such a way that the omnidirectional mobile robot and manipulator operate sequentially to prevent the abnormal operation of the manipulator and solve the singularity problem. The validity of the proposed robust image based visual servoing method is verified through simulation results. © 2022 Korean Institute of electrical Engineers. All rights reserved.

关键词： Manipulators

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Robust Tracking Control of 6 DOF Manipulator using Artificial Neural Network based Integral Sliding Mode Control

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Transactions of the Korean Institute of electrical Engineers 2022年第1期71卷 140-156页

作者： Hwang, Junha Chwa, Dongkyoung Dept. of Electrical and Computer Engineering Ajou University Korea Republic of

This paper proposes a robust tracking control method for a six degree-of-freedom manipulator using artificial neural network based integral sliding mode control. The proposed method is designed to consider all of the actual manipulator's weight, length, and moment of inertia, while maintaining the robustness against the disturbance and the uncertainty of the system model. The trajectory tracking error can be effectively reduced by using the proposed method even in this situation. Both the simulation and experimental results are provided to verify the validity of the proposed method. © 2022 Korean Institute of electrical Engineers. All rights reserved.

关键词： Neural networks

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Incorporating Multi-Source Transfer Learning into an Unscented Kalman Filter for Object Tracking 59

Incorporating Multi-Source Transfer Learning into an Unscent...

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59th Annual Conference on Information sciences and Systems, CISS 2025

作者： Alotaibi, Omar Mark, Brian L. George Mason University Dept. of Electrical and Computer Engineering FairfaxVA United States

ISBN: (纸本)9798331513269

We develop a framework for incorporating Bayesian transfer learning into an unscented Kalman filter (UKF) to track a nonlinear dynamic motion model in a multi-source system consisting of two or more sensors. This framework extends a previous UKF-based transfer learning scheme for object tracking in a two-sensor system. Our objective is to extend the application of transfer learning to leverage knowledge gained from several source sensors. To achieve this aim, we generalize the transfer learning approach to online multi-source Bayesian transfer learning. The extended framework is approximated via a UKF, where the predicted observation densities of one or more sources are transferred to a primary sensor experiencing higher measurement noise intensity. By leveraging knowledge from multiple sources instead of a single source, the tracking performance of the primary sensor is able to achieve a higher level of estimation accuracy. The performance gain increases proportionally with the number of source sensors. Our numerical results demonstrate the effectiveness of multi-source Bayesian transfer learning in improving tracking accuracy. © 2025 IEEE.

关键词： Contrastive Learning

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A DYC system for 4WID Electric Vehicles via Fuzzy-Nonsingular Fast Terminal Sliding Mode Control

A DYC system for 4WID Electric Vehicles via Fuzzy-Nonsingula...

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2025 IEEE International Conference on Mechatronics, ICM 2025

作者： Eun Lee, Jung Woo Kim, Byeong Electronic and Computer Engineering University of Ulsan City of Ulsan Dept. of Electrical Korea Republic of

ISBN: (纸本)9798331533892

In this paper, we introduce a novel Direct Yaw Moment Control (DYC) system designed to bolster the stability of four-wheel independent drive (4WID) electric vehicles in diverse extreme driving conditions. Our proposed system is developed based on the design of Non-singular Fast Terminal Sliding Mode Control (NFTSMC) methods to calculate two optimal additional yaw moments, each targeting specific control objectives: the desired yaw rate and the desired sideslip angle. These calculated values are then intelligently weighted in real time using a Fuzzy Logic system to determine the final additional yaw moment applied to the vehicle. The stability of the NFTSMC methods is rigorously ensured through the Lyapunov theory. Simulation results underscore the efficacy of our proposed DYC system, particularly in navigating through extreme driving scenarios. Comparisons with no control and fixed weight-based SMC strategies demonstrated significant improvements in both yaw rate and sideslip angle tracking performance. The proposed method not only amplifies control effectiveness, ensuring swift convergence and high precision, but also substantially mitigates chattering phenomena, as evidenced by yaw moment and torque observations. © 2025 IEEE.

关键词： Lyapunov methods

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Denoising Task-Based Functional Magnetic Resonance Imaging Data Using Hybrid Deep Neural Network Model

Denoising Task-Based Functional Magnetic Resonance Imaging D...

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2023 International Conference on Intelligent Computing, Communication, Networking and Services, ICCNS 2023

作者： Kashfolayat, Sahar Shiri, Hamid Baniasadi, Amirali Univ. of Victoria Dept. of Electrical and Computer Engineering Victoria Canada Univ. of Tabriz Dept. of Electrical and Computer Engineering Tabriz Iran

ISBN: (纸本)9798350339291

We present a hybrid deep neural network model for Denoising task-based fMRI data. This model is based on the Deep Neural Network (DNN) model [1] and improves its performance by utilizing different layers for Grey Matter and non-Grey Matter related data. The preprocessed data passes through GM and non-GM masks. Then it is fed to the network and passes through temporal filters along with an LSTM layer. The result will be classified using time-distributed fully-connected layers -since the input data is a time-series of voxel values-which have different structures for GM and non-GM input data. This hybrid mechanism helps the model to reduce the correlation between non-GM processed data and the design matrix significantly. We also increase the correlation of GM output, which is equivalent to better cost function and less noise. This new self-supervised model is tested using simulated data and the HCP database [2]. We succeed in denoising task better than the DNN model by an average of at least 4%. © 2023 IEEE.

关键词： Neural network models

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