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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Noreen Fatima Sajjad Afrakhteh Libertario Demi Dept. of Information Engineering and Computer Science University of Trento Italy

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Accurate left ventricle (LV ) segmentation remains challenging due to the complex anatomical variability and imaging artifacts present in echocardiograms. Our ultimate objective is to develop a robust segmentation method for accurate segmentation of the LV , thereby enhancing the estimation of clinical indices. In this study, we introduce a novel hybrid generative adversarial network (GAN) architecture called patch-based GAN for cardiac image segmentation. Our contribution involves using two backbone models: UNET and a patch-based neural network (PBNN). UNET is employed for precise feature extraction and spatial preservation, aiding in constructing the latent space for the generator (G). Meanwhile, PBNN enhances the discriminator’s ability to accurately distinguish between the generated mask and the ground truth mask. The proposed patch-based GAN framework allows the network to learn from both the input data and adversarial feedback, improving its ability to handle variations and artifacts in echocardiograms. The experiment is conducted on the CAMUS dataset, comprising an echocardiographic dataset from 500 patients in 2-chamber (2CH) and 4-chamber (4CH) views at end-diastolic (ED) and end-systolic (ES) phases. The proposed method achieves high accuracy in LV endocardium segmentation, with mean Dice values of 0.96 and 0.94 for the 2CH view and 0.959 and 0.953 for the 4CH view at ED and ES phases.

关键词： Image segmentation Accuracy Neural networks Imaging Estimation Generative adversarial networks Feature extraction Hybrid power systems Generators Frequency control

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A Novel High Frame Rate and High Contrast Coherent Plane Wave Compounding Approach Utilizing Euclidean Distance Transform

A Novel High Frame Rate and High Contrast Coherent Plane Wav...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Sajjad Afrakhteh Libertario Demi Dept. of Information Engineering and Computer Science University of Trento Italy

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

To address the challenge of reduced image quality in plane-wave imaging (PWI), coherent plane-wave compounding (CPWC) has been introduced. CPWC combines plane wave images from various directions (i.e., with different angles) to enhance image quality. However, the number of angles required to achieve satisfactory image quality directly impacts the maximum attainable frame rate in CPWC. Consequently, there exists a tradeoff between image quality, particularly contrast, and frame rate. In this study, our goal is to mitigate this compromise by enhancing image contrast while simultaneously improving the frame rate of CPWC imaging. Our proposed technique includes skeleton-based spatial filtering of each beamformed radio frequency (RF) image at each angle before coherent compounding. For this purpose, we introduce a novel filtering technique based on the Euclidean distance transform (EDT). EDT assigns the minimum distance from each foreground pixel to the background. Given that lower contrast in CPWC imaging stems from information leakage (i.e., higher sidelobe levels), we propose using the EDT to reduce this effect, thereby improving contrast. We implemented our proposed technique using the Plane Wave Imaging Challenge in Medical Ultrasound (PICMUS) datasets.

关键词： Image quality Radio frequency Ultrasonic imaging Filtering Databases Transforms Euclidean distance information leakage Frequency control Biomedical imaging

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Blockchain Technology for Enhancing Trust and Security in Mobile Networks 2

Blockchain Technology for Enhancing Trust and Security in Mo...

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2nd IEEE International Conference on Networking and Communications, ICNWC 2024

作者： Vadakkethil Somanathan Pillai, Sanjaikanth E. Pawar, Priyanka University Of North Dakota School of Electrical Engineering and Computer Science Grand ForksND United States University of the Cumberlands Dept. of Information Technology WilliamsburgKY United States

ISBN: (纸本)9798350365269

Blockchain technology, the backbone of popular cryptocurrencies like Bitcoin, has garnered massive interest in recent years for its capability to revolutionize traditional economic structures. However, Blockchain applications extend beyond simple finance and hold promising implications for mobile enterprises. One primary mission in cellular networks is maintaining accuracy and protection among customers and service providers. Traditional methods of securing records, including centralized databases, are susceptible to cyber assaults and data breaches. Cellular network security can be improved by using the decentralized, immutable structure that Blockchain technology provides. By leveraging Blockchain, cellular networks can utilize the core features of the distributed ledger, consensus, and encryption to create a more secure environment. The distributed ledger ensures that transactions among customers and service providers are recorded and verified using a network that doesn't rely on a central authority. The consensus mechanism ensures that any change or update to the network is agreed upon by the majority, making it exceedingly difficult for hackers to manipulate the system. © 2024 IEEE.

关键词： Blockchain

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Application of Tensor Completion for Reducing the Beamforming Time in Ultrafast Ultrasound Imaging: A Doppler Ultrasound Assessment

Application of Tensor Completion for Reducing the Beamformin...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Sajjad Afrakhteh Federico Mento Libertario Demi Dept. of Information Engineering and Computer Science University of Trento Italy

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Doppler ultrasound is a non-invasive technique used to measure blood flow in blood vessels. However, this application requires a large number of temporal frames for precise blood flow measurements, posing challenges for beamforming time, even with a simple delay and sum (DAS) beamformer. Therefore, in this study, we aim to address this issue by proposing a post-processing solution and evaluating its effectiveness for Doppler ultrasound. In this study, We introduce sparse beamforming as a method to reduce beamforming time in preprocessing followed by applying tensor completion (TC) to reconstruct the missing information of the 3-dimensional (3D) beamforming data. We applied the proposed technique to the carotid artery data, demonstrating the feasiblity of improving the beamforming computational complexity by 4 to 5 times, while achieving comparable doppler velocity estimates to the original case (i.e., without sparse beamforming).

关键词： Ultrasonic imaging Tensors Array signal processing Ultrasonic variables measurement Time measurement Doppler effect Computational complexity Image reconstruction Carotid arteries Blood flow

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Network Traffic Prediction with Decomposition and Multi-Scale Autocorrelation in Large-Scale Cloud Data Centers 21

Network Traffic Prediction with Decomposition and Multi-Scal...

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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Wang, Meijia Yuan, Haitao Kuang, Zhenwei Ma, Hanbo Bi, Jing Zhang, Jia Zhou, MengChu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing University of Technology Faculty of Information Technology Beijing100124 China Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9798350365221

As the Internet and big data technologies advance, a tremendous amount of data is generated daily. Efficient network operations are essential for handling such data. Accurately predicting future network traffic in real-time enables prompt response from cloud infrastructure and efficient traffic scheduling and allocation, ultimately reducing costs, preventing economic losses, and optimizing the performance of downstream facilities. However, predicting network traffic in large-scale data centers is challenging due to the multidimensional, nonlinear, and high-volatility nature of the time series. Traditional prediction methods, e.g., regression algorithms, struggle to capture non-linear features effectively. Many deep learning models face issues such as gradient explosion or vanishing during their training. Current commonly used prediction methods fail to fully uncover vital information about the frequency domain features in the time series. To do so, this work proposes a novel network traffic prediction model that combines a Savitzky Golay filter, sequence decomposition, multi-scale attention, a temporal convolutional network, an autocorrelation mechanism, and bidirectional long short-term memory. It can accurately predict future network traffic by adaptively extracting important features without requiring excessive feature engineering of the original data. It performs end-to-end sequence prediction, feature selection, and automatic learning of data features and temporal dependencies to achieve accurate time series prediction and avoid redundant data processing. Experiments involving ablation studies and comparisons with advanced prediction models are performed with the Google cluster trace. Experimental results show that the proposed model improves the prediction accuracy by at least 38.52% over the state-of-the-art models. © 2024 IEEE.

关键词： Autocorrelation

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Registered-backoff-time (RBT) based channel access with grouping control for the trigger RAW mode of IEEE 802.11ah IoT Network

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computer Networks 2024年 242卷

作者： Huang, Chung-Ming Hsieh, Chia-Han Dept. of Computer Science Information Engineering National Cheng Kung University Tainan Taiwan

This work proposes the Trigger RAW -centric Registered Backoff Time (RBT) -based channel access with the Grouping Control (TRC-RBT-GC) method to tackle the load balance problem in the IEEE 802.11ah network for Internet of Things (IoTs). The main feature of the proposed method is twofold: (1) Each STA generates a RBT value registers it to AP such that AP can schedule STAs to access channel according to STAs’ RBT values. (2) Each RAW consists of a Claiming RAW a Data RAW. Those STAs that only have the uplinked data can deliver their intentions of uplinking data to AP in their respective claiming slot of the Claiming RAW. AP then schedules the STAs that have successfully delivered their intentions of uplinking data based on their RBT values in their respective data slot of the Data Raw. When a data slot of the Data RAW has some remaining time after all of the AP-scheduled STAs have finished their channel access, if there are some STAs failed delivering their intentions of uplinking data to AP, then these STAs can try to access channel in the remaining time of their respective data slot using the regular CSMA/CA scheme based on their RBT values. The simulation results show that the proposed TRC-RBT-GC method can achieve load balance among RAW's slots the system performance can be improved a lot. © 2024 Elsevier B.V.

关键词： Internet of things

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Renewable Energy Efficiency of Unmanned Aerial Vehicles Operating with Wireless Sensor Networks and Mobile Ad Hoc Networks 2

Renewable Energy Efficiency of Unmanned Aerial Vehicles Oper...

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2nd International Conference on Smart Technologies for Power and Renewable Energy, SPECon 2024

作者： Ahmad, Wakeel Ahmed, Sarfaraz Ahmad, Adeel Siddiqui, Shams Tabrez Khamruddin, Mohammad Khan, Haneef Jazan University College of Applied Industrial Tech Deptartment of Electrical Engineering Technology Jazan Saudi Arabia Jazan University College of Computer Science and Information Technology Dept. of Cnet Jazan Saudi Arabia Aligarh Muslim University Faculty of Science Department of Computer Science U.P Aligarh India Jazan University College of Computer Science and Information Technology Department of Computer Science Jazan Saudi Arabia

ISBN: (纸本)9798350383041

The amalgamation of Unmanned Aerial Vehicles (UAVs) into Wireless Sensor Networks (WSNs) and Mobile Ad Hoc Networks (MANETs) provides significant prospects to improve network capabilities. This study examines the energy renewable efficiency and performance of UAVs operating in WSNs and MANETs. The assessment considers a variety of elements that influence energy consumption, including the possibility of integrating renewable energy, energy management measures, and the impact on overall network performance. This seeks to provide insights into optimizing energy usage and improving the operating efficiency of UAVs in these dynamic network situations through extensive analysis and evaluation. A special emphasis is placed on the management of mobility, the optimization of energy usage, and the effectiveness of routing protocols. The paper explores existing protocols such as LEACH, AODV and OLSR highlighting their benefits and challenges for UAV's. A comparative analysis evaluates adapted protocols based on metrics such as energy efficiency, latency, and reliability. © 2024 IEEE.

关键词： Wireless sensor networks

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Analysis of Common Mode Currents and Harmonic Pollution at Supplying Induction Motors from Static Converters with Variable Modulation Frequency

Analysis of Common Mode Currents and Harmonic Pollution at S...

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2023 Power Quality and Electromagnetic Compatibility at Low-Frequency, PQEMC-LF 2023

作者： Nuca, Iurie Wan, Lu Nicolae, Petre - Marian Nicolae, Ileana - Diana Grassi, Flavia Wu, Xinglong University of Craiova Electrical Engineering Energetic and Aeronautics Dept. Craiova Romania Politecnico di Milano Department of Electronics Information and Bioengineering Milan Italy University of Craiova Computer Science and Information Technology Dept. Craiova Romania

ISBN: (纸本)9798350341331

The problems of Electromagnetic Compatibility (EMC) in three-phase systems are less studied than single-phase or direct current, due to the smaller ratio of emissions relative to the rated power of such systems. This paper is focused on the problem of emissions in three-phase variable frequency drive systems in the low-frequency EMC range, specifically on the common mode current through the connected ground wire between the static converter and power grid. The common mode current is determined to be variable depending on switching frequency. For a deeper understanding Fast Fourier Transform was used to decompose the signal. Main parameter to understand the magnitude of common mode current was the RMS of the current. The decomposition showed a significant DC component which cannot be picked up by the used RF probe, thus presenting a noise offset necessary to be considered when calculating the total effective value of common mode current. The analysis was made on the time-domain representation and the frequency behavior of the converter. The paper suggests that the standard measurement in the low-frequency range and the picked-up signal are investigated enough, as there is a disparity in the impact of emissions in the low-frequency range compared to what off-the-shelf devices have to offer, which are standard compliant, but still present considerable emissions. © 2023 IEEE.

关键词： Static converters

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

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1st International Conference on Robotics, engineering, science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

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SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation

arXiv

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arXiv 2025年

作者： Guo, Yu-Ren Tai, Wen-Kai Dept. of Computer Science and Information Engineering National Taiwan University of Science and Technology Taiwan

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing (NLP) and multimodal learning, with successful applications in text generation and speech synthesis, enabling a deeper understanding and generation of multimodal content. In the field of sound effects (SFX) generation, LLMs have been leveraged to orchestrate multiple models for audio synthesis. However, due to the scarcity of annotated datasets, and the complexity of temproal modeling. current SFX generation techniques still fall short in achieving high-fidelity audio. To address these limitations, this paper introduces a novel framework that integrates LLMs with existing sound effect databases, allowing for the retrieval, recombination, and synthesis of audio based on user requirements. By leveraging this approach, we enhance the diversity and quality of generated sound effects while eliminating the need for additional recording costs, offering a flexible and efficient solution for sound design and application. Copyright © 2025, The Authors. All rights reserved.

关键词： Natural language processing systems

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