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arXiv 2023年

作者： Alexandre, David Hang, Hsueh-Ming Peng, Wen-Hsiao Electrical Engineering and Computer Science International Graduate Program Institute of Electronics Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan

Typical video compression systems consist of two main modules: motion coding and residual coding. This general architecture is adopted by classical coding schemes (such as international standards H.265 and H.266) and deep learning-based coding schemes. We propose a novel B-frame coding architecture based on two-layer Conditional Augmented Normalization Flows (CANF). It has the striking feature of not transmitting any motion information. Our proposed idea of video compression without motion coding offers a new direction for learned video coding. Our base layer is a low-resolution image compressor that replaces the full-resolution motion compressor. The low-resolution coded image is merged with the warped high-resolution images to generate a high-quality image as a conditioning signal for the enhancement-layer image coding in full resolution. One advantage of this architecture is significantly reduced computational complexity due to eliminating the motion information compressor. In addition, we adopt a skip-mode coding technique to reduce the transmitted latent samples. The rate-distortion performance of our scheme is slightly lower than that of the state-of-the-art learned B-frame coding scheme, B-CANF, but outperforms other learned B-frame coding schemes. However, compared to B-CANF, our scheme saves 45% of multiply–accumulate operations (MACs) for encoding and 27% of MACs for decoding. The code is available at https://***. Copyright © 2023, The Authors. All rights reserved.

关键词： Image coding

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A Two-Stage Noisy Label Learning Framework with Uniform Consistency Selection and Robust Training

SSRN

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SSRN 2024年

作者： Zhang, Qian Chen, Qiu School of Information Technology Jiangsu Open University Nanjing210036 China Department of Electrical Engineering and Electronics Graduate School of Engineering Kogakuin University Tokyo163-8677 Japan

Deep neural networks suffer from overfitting when training samples contain inaccurate annotations (noisy labels), leading to suboptimal performance. In addressing this challenge, current methods for learning with noisy labels employ specific criteria, such as small loss, historical prediction, etc., to distinguish clean and noisy instances. Subsequently, semi-supervised learning techniques are introduced to boost performance. Most of them are one-stage frameworks that aim to achieve optimal sample partitioning and robust SSL training within a single iteration, thereby increasing training difficulty and complexity. To address this limitation, we propose a novel two-stage noisy label learning framework called UCRT, which consists of uniform consistency selection and robust training. In the first stage, the emphasis lies on creating a more uniform and accurate clean set, while the second stage uniformly extends this clean set to improve model performance by introducing SSL techniques. Comprehensive experiments conducted on both synthetic and real-world noisy datasets demonstrate the stability of UCRT across various noise types, showcasing superior performance compared with state-of-the-art methods. The code will be available at: https://***/LanXiaoPang613/UCRT. © 2024, The Authors. All rights reserved.

关键词： Deep neural networks

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Development of LED Lighting for Microalgae Propagation with Emission Spectrum Having Broader Emission Peaks

Development of LED Lighting for Microalgae Propagation with ...

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Sustainable Smart Lighting World Conference & Expo (LS18), IEEE

作者： Nobuaki Hosoda Takashi Murata Takayuki Misu Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan Department of Applied Chemistry and Bioscience Faculty of Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan Department of Electrical and Electronic Engineering Faculty of Engineering Kanagawa Institute of Technology Atsugi Kanagawa Japan

ISBN: (数字)9798331540197

ISBN: (纸本)9798331540203

In this study, we aimed to develop LED lighting with an emission spectrum effective for microalgae propagation, and fabricated LED lighting with Phosphor layer RGB, which has peaks in the red, green, and blue wavelength bands, and Phosphor layer RG’B’, which has broader peaks in the red, green, and blue wavelength bands. In order to examine the effect of microalgae propagation, Closterium ehrenbergii samples prepared at different dilution rates were irradiated with LED illumination light of Phosphor layer RG’B’ and Phosphor layer RGB, respectively, for 7 days, and their propagation rates were compared. The results of the experiment showed that Phosphor layer RG’B’ produced a higher propagation rate than Phosphor layer RGB.

关键词： Phosphors Lighting Light emitting diodes

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A Zero Harmonic Distortion Master Converter for Medium Voltage Microgrids

A Zero Harmonic Distortion Master Converter for Medium Volta...

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Annual IEEE Conference on Applied Power electronics Conference and Exposition (APEC)

作者： Gabriel V. Ramos Dener A. de L. Brandão Thiago M. Parreiras Danilo I. Brandao Braz de J. C. Filho Graduate Program in Electrical Engineering - Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Department of Electrical Engineering Centro Federal de Educação Tecnológica de Minas Gerais Belo Horizonte Brazil Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

This paper proposes the Zero Harmonic Distortion Converter (ZHD) as a master converter (MC) for medium voltage microgrids, delivering sinusoidal waveforms in both grid-connected and islanded mode without sinusoidal capacitive filtering elements. The ZHD MC ensures seamless transitions between modes using a simple control approach that eliminates the need off a voltage closed-loop control for grid-connected, islanded, and transition modes, using only a current closed-loop control for grid-connected operation. Simulation and hardware-in-the-loop results show the performance of the ZHD MC converter.

关键词： Electric potential Filtering Microgrids Medium voltage Power electronics Harmonic distortion Distributed power generation Reliability Voltage control

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Design a Multifunctional Software for the Analysis of Biomechanical Stability of Bipedal Stance

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SSRN 2024年

作者： Al-Ghali, Basma A. Jaber, Hussain A. Al-Saffar, Mais O. Çankaya, Ilyas Department of Biomedical Engineering College of Engineering Al-Nahrain University Baghdad Iraq Electrical and Electronics Engineering Department Graduate School of Natural Science Ankara Yıldırım Beyazıt University Ankara Turkey

Understanding the mechanisms of postural control is quite important for the evaluation of balance and stability, especially within both clinical and research environments. Center of pressure (CoP) signal is the commonly used for the assessment of postural stability. As the CoP signal is non-stationary, its analysis and interpretation are often challenging for clinicians and researches as well. This article describes a novel design of a computer-based application used for the analysis of CoP during standing stability tests. The application combines both traditional and advanced analytical techniques to evaluate postural control. The software was developed using python (ver 3.7.6), and the graphical user interface was built using tkinter library. The proposed software is designed to provide powerful tools for pre-processing, analyzing and visualizing CoP data in an easy to use and platform independent computer application. The software provides flexibility in importing data for different file formats (as a coordinate trace in anterio-posterior and mediolateral direction), different sampling frequencies, and various options of data filtering using low-pass Butterworth filter. Analysis methods incorporates standard measures including the mean and standard deviation of CoP displacements, ranges, and velocities, length of sway path, and the area of 95 % confidence ellipse. Furthermore, other advanced measures including approximate entropy (ApEn), wavelet transform of spectra, and DFA. The results are visualized numerically and graphically (CoP path, confidence ellipse area, and DFA) using matplotlib library. In addition, the user can export the statistical results as a text format. Converted to a standalone executable file using PyInstaller, this software offers a portable solution for CoP analysis over various computing environments. By combining traditional measures with nonlinear analytical techniques, this tool provides researchers and clinicians with a comprehensive

关键词： Butterworth filters

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Motor Imagery BCI Classification Using Synchrosqueezing Transform

Motor Imagery BCI Classification Using Synchrosqueezing Tran...

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IEEE Signal Processing and Communications Applications (SIU)

作者： Mosab A. A. YOUSIF Mahmut OZTURK Department of Biomedical Engineering Institute of Graduate Studies Istanbul University - Cerrahpasa Istanbul Turkey Department of Electrical and Electronics Engineering Engineering Faculty Istanbul University - Cerrahpasa Istanbul Turkey

Developments in sensors and computer technology have made easier to record and process Electrencephalography (EEG) signals. Obtaining brain-computer interfaces (BCI) with the help of EEG signals is getting more practical and cheaper. Analyzing the meaning of the brain signals by using BCIs is popular and promising research area last years. In this work, we propose a new method to detect and classify the motor imagery (MI) EEG signals. The used dataset contains the trials for the imagination of the movements. While recording the EEG signals, subjects imagined the movements of right fist and left fist several times in each experiments. Our approach employes synchrosqueezing transform (SST) to obtain time-frequency representation matrices of EEG signals for each trial. Principal component analysis has been used for dimension reduction and feature extraction. At the end, classification process has been figured out by using support vector machine (SVM). This algorithm has been applied to each of the selected EEG channels which are directly related to motor movements. Testing and training accuracies of our SST based approach are higher than 99% for each channels separately. Also, we obtained classification results using continuous wavelet transform (CWT) to compare with the SST-based approach. Classification results of each channel have showed the promising performance of SST-based approach obviously.

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Machine learning approaches for predicting Ankle Dorsi Plantar Moments in Cerebral Palsy gait analysis: A comparative study

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Gait & Posture 2024年 113卷 198-199页

作者： Mustafa Erkam Özates Firooz Salami Sebastian I. Wolf Yunus Ziya Arslan Turkish German University Department of Electrical and Electronics Engineering- Faculty of Engineering Istanbul Turkey Heidelberg University Hospital Clinic for Orthopedics and Trauma Surgery Heidelberg Germany Turkish German University Department of Robotics and Intelligent Systems- Institute of Graduate Studies in Science and Engineering- Istanbul Turkey

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Using a multi-angle optical coherence tomography (OCT) system for the suppression of artifacts in the dental OCT images 5

Using a multi-angle optical coherence tomography (OCT) syste...

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Optical Coherence Imaging Techniques and Imaging in Scattering Media V 2023

作者： Chang, Tzu-Hsuan Hua, Fang-Ying Li, Heng-Yu Chou, Yu-Ren Wang, Yin-Lin Lee, Hsiang-Chieh Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei10617 Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei10617 Taiwan Department of Dentistry National Taiwan University Hospital Taipei10617 Taiwan Department of Electrical Engineering National Taiwan University Taipei10617 Taiwan

ISBN: (数字)9781510664746

ISBN: (纸本)9781510664739

Due to the presence of highly scattered inclusions or impurities on the surface or inside of the tooth, resulting in loss of Optical Coherence Tomography (OCT) signal under the aforementioned defects including image-accurate assessment teeth. In this study, we developed a multi-view multiplexing algorithm based on the nearest point repeat (ICP) algorithm to reconstruct the missing information. The use of a biaxial angle stage allows for multi-view images to be obtained at varying degrees of control. The result of our proposed method is that it is possible to improve the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of dental OCT images. © 2023 SPIE. All rights reserved.

关键词： Optical tomography

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Multi-Objective Grey Wolf Optimizer for the Tuning Process of the FOPID Controller

Multi-Objective Grey Wolf Optimizer for the Tuning Process o...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Allan Christian Krainski Ferrari Gideon Villar Leandro Leandro Dos Santos Coelho Gilberto Reynoso Meza Eletrical Engineering Department Federal University of Paraná UFPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) Federal University of Paraná (UFPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná Curitiba Brazil

This article implements the multi-objective grey wolf optimizer (MOGWO) in the tuning process of the gains of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller applied in the control of a boiler system. For a sequence of 100 runs, this application had compared and analyzed with other implementation that uses MOGWO to optimize the gains of the classical Proportional-Integral-Derivative (PID) controller. In the computational simulation, the value hypervolume metric had used to analyze the performance of the controllers. In the results, the implementation of the FOPID showed superior to PID, where the comparison had validated by a hypothesis test. Despite the higher computational cost concerning the tuning process of the PID controller, this study proved that the FOPID controller can be advantageous for industrial applications.

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Reconfigurable Holographic Surface: A New Paradigm for Ultra-Massive MIMO

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Di, Boya Zhang, Hongliang Han, Zhu Zhang, Rui Song, Lingyang Peking University School of Electronics China University of Houston Department of Electrical and Computer Engineering HoustonTX United States Kyung Hee University Department of Computer Science and Engineering Seoul Korea Republic of The Chinese University of Hon g Kong School of Science and Engineering Guangdong Shenzhen China National University of Singapore Department of Electrical and Computer Engineering Singapore Singapore Peking University Shenzhen Graduate School School of Electronic and Computer Engineering China

Evolving from massive multiple-input multiple-output (MIMO) in current 5G communications, ultra-massive MIMO emerges as a seminal technology for fulfilling more stringent requirements of future 6G communications. However, widely-utilized phased arrays relying on active components make the implementation of ultra-massive MIMO in practice increasingly prohibitive from both cost and power consumption perspectives. In contrast, the development of reconfigurable holographic surface (RHS) provides a new paradigm to solve the above issue without the need of costly hardware components. By leveraging the holographic principle, the RHS serves as an ultra-thin and lightweight surface antenna integrated with the transceiver, which is a promising alternative to phased arrays for realizing ultra-massive MIMO. In this paper, we provide a comprehensive overview of the RHS, especially the RHS-aided communication and sensing. We first describe the basic concepts of RHS, and introduce its working principle and unique practical constraints. Moreover, we show how to utilize the RHS to achieve cost-efficient and high-performance wireless communication and sensing, and introduce the key technologies. In particular, we present the implementation of RHS with a wireless communication prototype, and report the experimental measurement results based on it. Finally, we outline some open challenges and potential future directions in this area. © 2015 IEEE.

关键词： Antenna phased arrays

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