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12th electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024

作者： Ariefianto, Rizki Mendung Setyawan, Indra Nurwati, Tri Hasanah, Rini Nur Muhammad Ramli, Makbul Anwari Universitas Brawijaya Department of Electrical Engineering Malang Indonesia King Abdulaziz University Department of Electrical and Computer Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798350379914

Solar energy converted by PV systems is very promising as the primary electricity source in rural areas. However, the varying characteristics of nature make the optimal efficiency of PV systems hard to achieve. Maximum Power Point Tracking (MPPT), as a strategy to help PV systems extract solar power efficiently, faces an issue in reaching the Global Maximum Power Point (GMPP). Many metaheuristic-based algorithms have been developed to ensure the maximum power of PV systems can be achieved. This study aims to evaluate the performance of a metaheuristic-based MPPT called Gravitational Search Optimization (GSO), which is applied to PV systems. As a comparison, Particle Swarm Optimization (PSO), another MPPT strategy, was employed. The results show that the GSO exhibits superior tracking ability and convergence rate compared to the PSO. This means that GSO has proven its capability to reach GMPP, leading to beneficial improvements in overall PV system performance. © 2024 IEEE.

关键词： Solar energy

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Two-step registration of rigid and non-rigid MR-iUS for brain shift compensation using transfer learning 20

Two-step registration of rigid and non-rigid MR-iUS for brai...

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20th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2024

作者： Jalalzadeh, Amir Hossein Talebi, Seyed Saeid Kamangar, Mehrdad Hashemi Shahed University Engineering Faculty Department of Biomedical Engineering Tehran Iran Noshirvani University Department of Electrical and Computer Engineering Babol Iran Shomal University Engineering Faculty Department of Electrical and Electronic Engineering Amol Iran

ISBN: (纸本)9798350383942

Accurate removal of brain tumors is always one of the most important challenges for surgeons, as the continuous change of the brain state after opening the skull and releasing the resulting pressure causes the tumor state to change. By registration of preoperative MR images on intraoperative ultrasound images, the extent of this change is estimated and a new image of the brain is created. The result shows the changes and shifts in the brain, and the surgeon removes the tumor based on this image. Image registration using new deep learning methods has attracted the attention of many researchers due to its high efficiency and accuracy. In this paper, the images of 22 male and female patients with grade 2 glioma tumors were used to evaluate the proposed method. MR images of the patients were taken before surgery, while ultrasound images were taken during surgery and after cranial incision. The deep network used in this paper to compensate for non-rigid changes is voxel morph. All images were fed to the pre-trained network in pairs, and the results are reported for each individual. The average error of all images for the proposed method is 3.56 ± 1.72. This shows the improvement in performance compared to the previous methods since in this work the landmarks were not used in training phase. © 2024 IEEE.

关键词： Tumors

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Deep Hypernetwork-based Robust Localization in Millimeter-Wave Networks 35

Deep Hypernetwork-based Robust Localization in Millimeter-Wa...

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Klus, Roman Talvitie, Jukka Domae, Benjamin Cabric, Danijela Valkama, Mikko Tampere University Department of Electrical Engineering Tampere Finland University of California Electrical and Computer Engineering Department Los Angeles United States

ISBN: (纸本)9798350362244

Wireless localization and sensing are increasingly important capabilities when the networks are evolving towards the 6t h generation era. While the physics-inspired geometrical models are known to perform well in line-of-sight (LoS) dominant scenarios, harnessing the power of artificial intelligence (AI) to improve robustness, efficiency, and performance in more complex propagation scenarios is an intriguing prospect. To this end, the hypernetwork (HN) is an emerging neural network (NN) architecture, where one model is used to parameterize the weights of the other, promising dynamic weight adaptation among other performance improvements. In this work, we propose the concept of Hypernetwork Localization (HypLoc) - a hybrid HN-based architecture for localization in beamforming millimeter-wave (mmWave) networks, while combining angle-of-arrival (AoA), time-of-flight (ToF), and received power (RP) as representative measurements. Considering a realistic urban vehicular environment, we first demonstrate the baseline effectiveness of HypLoc with a fixed and known gNodeB (gNB) deployment scenario. We then also study a scenario where the factory pre-training covers multiple different gNB deployment constellations and show that the proposed HypLoc clearly outperforms the traditional NNs. Finally, we also show that the HypLoc adapts faster and requires less training data when adapting to a previously unseen deployment scenario. Overall, the proposed approach facilitates efficient factory pre-training when operating under multiple different gNB deployment options. © 2024 IEEE.

关键词： Mobile telecommunication systems

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Byzantine-Resilient Collaborative Hierarchical Non-Bayesian Learning 58

Byzantine-Resilient Collaborative Hierarchical Non-Bayesian ...

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

作者： McLaughlin, Connor Ding, Matthew Erdogmus, Deniz Su, Lili Northeastern University Department of Electrical and Computer Engineering BostonMA United States University of California Department of Electrical Engineering and Computer Sciences BerkeleyCA United States

ISBN: (纸本)9798350354058

Non-Bayesian learning is a computationally efficient approximation of Bayesian learning over multi-agent networks. As the network scale increases, existing fully distributed solutions start to lag behind real-world challenges such as slow information propagation and external adversarial attacks. In this paper, we consider a hierarchical system architecture in which the agents are clustered into M sub-networks, and a parameter server exists to facilitate the information exchange among sub-networks. Utilizing a hierarchical structure to speed up con-vergence and enhance adversarial resilience is largely under-explored. Byzantine resilience suffers the curse of dimensionality - no Byzantine consensus algorithms can withstand a fraction of Byzantine agents exceeding either one-third of the total agents or the reciprocal of the input dimension plus one, whichever is smaller. To get around this, we solve the non-Bayesian learning problem by running multiple scalar dynamics. We propose a novel Byzantine-resilient gossiping-type rule at the parameter server to facilitate information propagation across sub-networks. We show that under some technical conditions, each normal agent can asymptotically identify the underlying truth hypothesis with probability one. Notably, our theory implies that even if there exists a sub-network whose majority of agents are Byzantine, our algorithm still enables successful learning for normal agents in such sub-networks. © 2024 IEEE.

关键词： Adversarial machine learning

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Human autonomy teaming-based safety-aware navigation through bio-inspired and graph-based algorithms

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Biomimetic Intelligence & Robotics 2024年第4期4卷 76-91页

作者： Timothy Sellers Tingjun Lei Chaomin Luo Zhuming Bi Gene Eu Jan Department of Electrical and Computer Engineering Mississippi State UniversityStarkville 39762USA Department of Civil and Mechanical Engineering Purdue University Fort WayneFort Wayne 46805USA Department of Computer Science Asia UniversityTaichung 413305TaiwanChina

In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring *** Autonomy Teaming(HAT)is crucial for promoting safe and efficient human-robot collaboration in dynamic indoor *** paper introduces a framework designed to address these precision gaps,enhancing safety and robotic interactions within such *** to our approach is a hybrid graph system that integrates the Generalized Voronoi Diagram(GVD)with spatio-temporal graphs,effectively combining human feedback,environmental factors,and key *** integral component of this system is the improved Node Selection Algorithm(iNSA),which utilizes the revised Grey Wolf Optimization(rGWO)for better adaptability and ***,an obstacle tracking model is employed to provide predictive data,enhancing the efficiency of the *** insights play a critical role,from supplying initial environmental data and determining key waypoints to intervening during unexpected challenges or dynamic environmental *** simulation and comparison tests confirm the reliability and effectiveness of our proposed model,highlighting its unique advantages in the domain of *** comprehensive approach ensures that the system remains robust and responsive to the complexities of real-world applications.

关键词： Human autonomy teaming(HAT) Robot path planning Generalized Voronoi diagram(GVD) Spatio-temporal graphs Bio-inspired algorithms

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Visual Question Answering with Cascade of Self- and Co-Attention Blocks 27th

Visual Question Answering with Cascade of Self- and Co-At...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Mishra, Aakansha Anand, Ashish Guha, Prithwijit Department of Computer Science and Engineering IIT Guwahati Guwahati India Department of Electrical Engineering IIT Guwahati Guwahati India

ISBN: (纸本)9783031784941

Recent advancements in Visual Question Answering (VQA) have been driven by the integration of complex attention mechanisms. This work introduces a novel approach aimed at enhancing multi-modal representations through dense interactions between visual and textual inputs in an alternating fashion. The proposed model features an attention framework that incorporates both self-attention and co-attention mechanisms, strategically applied to image and text modalities. Self-attention modules capture contextual dependencies among objects in images and words in questions, crucial for accurate inference of answers. Meanwhile, co-attention mechanisms facilitate effective cross-modal interactions between images and text. To extract fine-grained information from both modalities, we introduce a Cascade of Self- and Co-Attention blocks (CSCA). This architecture is evaluated extensively on prominent benchmarks including VQA2.0, TDIUC, and GQA datasets. Experimental results, including comprehensive ablation studies, highlight the effectiveness of the model’s key components and the cascading nature of attention mechanisms in enhancing performance across diverse VQA tasks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Question answering

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High-Boost-Gain Split-Source Inverter With Shared-Ground and No Shoot-Through Issue

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IEEE Transactions on Industrial Informatics 2024年第3期20卷 3252-3265页

作者： Ahmed, Hafiz Furqan Moursi, Mohamed Shawky El Hosani, Khalifa Al Alzaabi, Omar Zahawi, Bashar National Sun Yat-sen University Department of Electrical Engineering Kaohsiung804201 Taiwan Khalifa University Advanced Power and Energy Center Department of Electrical Engineering and Computer Science Abu Dhabi127788 United Arab Emirates Mansoura University Faculty of Engineering Mansoura35516 Egypt

In this article, we propose an improved high-boost-gain split-source inverter (SSI) for renewable energy generation. The proposed inverter retains the features of the existing SSIs, such as single-stage boost inversion with a reduced number of passive components and elimination of the inverse modulation-duty relationship constraint of the impedance-source inverters. It also provides additional features that include higher boost inversion ability than existing SSIs to connect low-voltage renewable energy sources to the grid, no voltage-source short-circuit issue, which increases the robustness of the proposed inverter and pulsewidth modulation dead times can be relieved, and the negative input dc-terminal and ac-neutral are electrically connected in the proposed inverter, resulting in a constant common-mode voltage and elimination of leakage ground currents for grid-interfaced PV power systems. A detailed circuit operation and analysis is provided, and experiments are performed on a 400-VA prototype inverter to confirm the working of the proposed topology. © 2005-2012 IEEE.

关键词： Pulse width modulation

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Analysis of switching surge and harmonics using hybrid method in short transmission line on Resistive load in MATLAB 3

Analysis of switching surge and harmonics using hybrid metho...

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3rd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2024

作者： Tamta, Mahashree Jain, Sandeep Kumar Thakur, Padmanabh Bansal, R.C. Vivekananda Global University Department of Electrical Engineering Jaipur India Department of Electrical Engineering Dehradun India University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates University of Pretoria Department of Electrical Electronic and Computer Engineering Pretoria South Africa

ISBN: (纸本)9798350309409

In this work, firstly a simulation model has been developed to increases the energy security to load side, and for the characterization and harmonic analysis of the load voltage during the condition of the faults. For this, primary line, backup line and MOSFET have been considered in this model. The MOSFET is used in the model to transfer the control from primary to backup line automatically under the condition of the fault and then automatically switching it back once the fault is cleared. A hybrid method has also been developed, considering the RMS of the Fundamental component of voltage, at each instant i.e. 200 samples/cycle, for the detection of magnitude of faults and for the estimation of the fault durations. It is shown that the proposed hybrid approach is proficient in the detection of fault and estimates the fault duration without producing any error. In addition to this the estimation of duration, time of occurrence and magnitude of harmonics are relatively compared with the event of voltage interruption using the proposed hybrid method and MATLAB's FFT tool. © 2024 IEEE.

关键词： MATLAB

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Optimal Multi-Bitrate Video Caching and Processing in Edge Computing: A Stackelberg Game Approach

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IEEE Internet of Things Journal 2025年第13期12卷 25059-25076页

作者： Guo, Min Zhang, Di Xing, Weiwei Shao, Xun Liu, Zhi Zhang, Yaoxue Beijing Jiaotong University School of Software Engineering Beijing100044 China Toyohashi University of Technology Department of Electrical and Electronic Information Engineering Aichi441-8580 Japan The University of Electro-Communications Department of Computer and Network Engineering Tokyo182-8585 Japan Tsinghua University Department of Computer Science and Technology Beijing100084 China

By caching and transcoding video files on edge servers, video edge caching (VEC) can alleviate network congestion and improve user experience. To achieve this, VEC needs to address resource allocation and pricing problems and develop caching and transcoding strategies. However, existing works have not effectively coordinated and resolved these issues. Towards this end, we propose a game-theoretic multi-bitrate video caching and processing method for VEC. Specifically, to address these interdependent issues concurrently, we first incorporate multidimensional strategies into the system model and formalize the profit maximization problems of the network service provider and multiple video providers (VPs) as a constrained multi-objective optimization problem. Second, we transform the problem into a Stackelberg game and identify a Nash equilibrium as the solution. To solve the game problem, we decompose the game process into two stages focusing on resource competition and price determination, respectively. Then, we address the problems of transcoding and caching strategies development, and resource allocation in parallel across varying resource price conditions. The transcoding strategy is determined based on the constraints imposed by delay, value, and the source video. For the caching strategy development and resource allocation, we transform them into two grouped knapsack problems and apply the "dominant strategy» from game theory to identify the "feasible strategy» of VPs. Finally, we determine the resource prices in a traversal manner. Theoretical analysis shows that our proposed method achieves the optimal solution. Experimental results show that our algorithm achieve a 6.04% increase in overall profit compared to the greedy strategy algorithm. © 2025 IEEE.

关键词： Costs

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State of the Art on Auto Electrification 25

State of the Art on Auto Electrification

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Shaout, Adnan Albadi, Abdullah Shaout, Abdel-Rahman The Uinversity of Michigan-Dearborn The Department of Electrical and Computer Engineering DearbornMI United States Oakland University The Department of Electrical and Computer Engineering RochesterMI United States

ISBN: (纸本)9798331540012

This paper presents a full analysis of the state of electrification technologies today, including a synopsis of recent developments and new trends. Electrification is essential to the transformation of many industries, as well as transportation, manufacturing, and residential uses given that the world is moving more and more toward sustainable energy. This paper compiles data from a variety of sources, including academic journals, business analyses, and technology advancements, to provide a comprehensive overview of the most recent advancements in electrification. This review includes the delineating essential tenets of electrification and its importance in accomplishing objectives related to energy efficiency and environmental sustainability. The changing picture of electrified transportation is then examined, including electric vehicles, charging infrastructure, and creative mobility alternatives. © 2024 IEEE.

关键词： Electrification

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