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37th AAAI Conference on Artificial Intelligence, AAAI 2023

作者： Mao, Huisheng Zhang, Baozheng Xu, Hua Yuan, Ziqi Liu, Yihe State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing100084 China Beijing100084 China School of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang050018 China

ISBN: (纸本)9781577358800

Improving model robustness against potential modality noise, as an essential step for adapting multimodal models to real-world applications, has received increasing attention among researchers. For Multimodal Sentiment Analysis (MSA), there is also a debate on whether multimodal models are more effective against noisy features than unimodal ones. Stressing on intuitive illustration and in-depth analysis of these concerns, we present Robust-MSA, an interactive platform that visualizes the impact of modality noise as well as simple defence methods to help researchers know better about how their models perform with imperfect real-world data. Copyright © 2023, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Sentiment analysis

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High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization

High-Fidelity and High-Speed Wavefront Shaping through Compl...

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2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Yu, Li-Yu You, Sixian Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02142 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02142 United States

ISBN: (纸本)9781957171289

We introduce a sparsity-constrained optimization framework that accounts for the constraints on wavefront shaping and the light scattering nature in complex media to achieve high-fidelity light manipulation at a frame rate of 22 kHz. Our method demonstrates an 89% and 126% increase in projection accuracy and speckle suppression, respectively. © 2023 The Author(s).

关键词： Constrained optimization

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Multi-User Visible Light Communications with Probabilistic Constellation Shaping and Precoding

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IEEE Transactions on Communications 2025年

作者： Nguyen, Thang K. Pham, Thanh V. Le, Hoang D. Nguyen, Chuyen T. Pham, Anh T. The Department of Computer Science and Engineering The University of Aizu Fukushima Japan The Department of Mathematical and Systems Engineering Shizuoka University Shizuoka Japan The School of Electrical and Electronic Engineering of Hanoi University of Science and Technology Hanoi Viet Nam

This paper proposes a joint design of probabilistic constellation shaping (PCS) and precoding to enhance the sum-rate performance of multi-user visible light communications (VLC) broadcast channels subject to signal amplitude constraint. In the proposed design, the transmission probabilities of bipolar M-pulse amplitude modulation (M-PAM) symbols for each user and the transmit precoding matrix are jointly optimized to improve the sum-rate performance. The joint design problem is shown to be a complex multivariate non-convex problem due to the non-convexity of the objective function. To tackle the original non-convex optimization problem, the firefly algorithm (FA), a nature-inspired heuristic optimization approach, is employed to solve a local optima. The FA-based approach, however, suffers from high computational complexity. Thus, using zero-forcing (ZF) precoding, we propose a low-complexity design, which is solved using an alternating optimization approach. Additionally, considering the channel uncertainty, a robust design based on the concept of end-to-end learning with autoencoder (AE) is also presented. Simulation results reveal that the proposed joint design with PCS significantly improves the sum-rate performance compared to the conventional design with uniform signaling. For instance, the joint design achieves 17.5% and 19.2% higher sum-rate for 8-PAM and 16-PAM, respectively, at 60 dB peak amplitude-to-noise ratio. Some insights into the optimal symbol distributions of the two joint design approaches are also provided. Furthermore, our results show the advantage of the proposed robust design over the non-robust one under uncertain channel conditions. © 1992-2012 IEEE.

关键词： Convex optimization

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Bistatic Scattering Analysis of Vegetation Using Fast Hybrid Method of Full Wave Simulations

Bistatic Scattering Analysis of Vegetation Using Fast Hybrid...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2023

作者： Jeong, Jongwoo Tsang, Leung Colliander, Andreas Yueh, Simon University of Michigan Department of Electrical Engineering and Computer Science Ann ArborMI48105 United States California Institute of Technology Jet Propulsion Laboratory PasadenaCA91109 United States

ISBN: (纸本)9781665442282

Bistatic scattering analysis of vegetation is an important element in developing remote sensing applications for microwave measurements. Previously, we applied the hybrid method (HM) to full wave simulations of realistic vegetation geometries. However, HM was limited to solving a relatively small number of scatterers. To accelerate the solving of the Foldy-Lax multiple scattering equations, the fast hybrid method (FHM) was applied to solving a much larger number of corn plants in a vegetation field. The FHM procedure for scattering is described in this paper. A bistatic scattering analysis of 49 corn plants by FHM showed good agreement with FEKO. The CPU time and memory of the FHM required less than 190 seconds and 570 Mbytes, respectively, and the computation can be readily performed on a standard laptop. © 2023 IEEE.

关键词： Vegetation

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Analysis of 10 kV SiC MOSFET Module Baseplate Parasitic Capacitance Impact on Switching Loss 10

Analysis of 10 kV SiC MOSFET Module Baseplate Parasitic Capa...

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10th IEEE Workshop on Wide Bandgap Power Devices and Applications, WiPDA 2023

作者： Chen, Ruirui Lin, Min Li, Dingrui Gao, Zihan Wang, Fred Bai, Hua Tolbert, Leon M. The University of Tennessee Min H. Kao Department of Electrical Engineering and Computer Science KnoxvilleTN United States Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798350337136

The parasitic capacitance of a power module baseplate provides a path for displacement current during the switching transient of the power module, which causes extra switching loss and EMI noise. It becomes an increasing concern especially for emerging 10 kV SiC MOSFET modules due to their high voltage and fast switching speed. This paper presents an in-depth analysis of 10 kV SiC MOSFET module baseplate parasitic capacitance impact on switching loss. The turn-on switching energy is divided into four parts, and the module baseplate parasitic capacitance impact on each part of the energy is analyzed. In addition to a constant capacitive energy (i.e., 1 2 CV2), the module baseplate parasitic capacitance also introduces extra V-I overlap energy during voltage fall stage of the turn-on switching transient because it increases voltage fall time. This portion of loss is modeled and quantified. The module baseplate parasitic capacitance impact on switching loss is experimentally evaluated at 6 kV dc voltage and 0 to 50 A currents. This 10 kV SiC MOSFET module baseplate capacitance contributed loss is in the 5-10% range. © 2023 IEEE.

关键词： Capacitance

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Development of a Grid-Connected Microinverter Based on the Integration of the CUK Converter with a Switchgear Structure 2

Development of a Grid-Connected Microinverter Based on the I...

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2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Subhamathi, A.S.F. Anuradha, T. Suganya, A.V. Shanthi, K. Umamaheswari, P. Jose Anand, A. Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Tamilnadu Coimbatore641021 Department of Electrical and Electronics Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Electrical and Electronics Engineering Sri Muthukumaran Institute of Technology Kanchipuram Chennai600069 Department of Computer Science and Business Systems Veltechmultech Dr Rangarajan Dr Sakunthala Engineering College Tamil Nadu Chennai600062 India Department of Electronics and Communication Engineering KCG College of Technology Karapakkam Chennai600 097

ISBN: (纸本)9798350327533

The main focus of this research work is on designing the dimensions of the proposed DC-DC and DC-AC converters. Since it is an unprecedented DC-DC converter, it is important to enable the DC-DC converter to enable simulations in PSIM software. In addition, the size of the proposed DC-AC converter was provided for the purpose of making simulations and specifying the actual components for implementing the 180 W prototype, with the current flowing into the phase. In addition, simulation results are obtained, which show that it is possible to find the maximum power point of the PV module by implementing the MPPT algorithm without having to measure the current of the PV module. © 2024 IEEE.

关键词： Cuk converter

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Overview of bioinformatic tools to study viral infections

Overview of bioinformatic tools to study viral infections

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Zulian, Verdiana Garbuglia, Anna Rosa Fiscon, Giulia Paci, Paola National Institute for Infectious Diseases Lazzaro Spallanzani Irccs Virology Laboratory Rome Italy Sapienza University of Rome Department of Computer Control and Management Engineering Italy National Research Council Institute for Systems Analysis and Computer Science 'Antonio Ruberti' Rome Italy

ISBN: (纸本)9798350337488

microRNAs play an important role in post-transcriptional gene regulation. Recently, viral microRNAs have been discovered in several viruses, including Hepatitis B virus. This brief work explores bioinformatics tools for viral/host miRNA research and provides insights into the roles of miRNAs in HBV infection, offering an overview of this field, in order to facilitate the selection of the most suitable bioinformatics tools according to individual needs and research goals. © 2023 IEEE.

关键词： bioinformatics tools Hepatitis B virus microRNA target gene

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PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds

arXiv

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arXiv 2024年

作者： Wang, Yuandou Kanwal, Neel Engan, Kjersti Rong, Chunming Grosso, Paola Zhao, Zhiming Multiscale Networked Systems University of Amsterdam Netherlands Department of Electrical Engineering and Computer Science University of Stavanger Norway

Running deep neural networks for large medical images is a resource-hungry and time-consuming task with centralized computing. Outsourcing such medical image processing tasks to hybrid clouds has benefits, such as a significant reduction of execution time and monetary cost. However, due to privacy concerns, it is still challenging to process sensitive medical images over clouds, which would hinder their deployment in many real-world applications. To overcome this, we first formulate the overall optimization objectives of the privacy-preserving distributed system model, i.e., minimizing the amount of information about the private data learned by the adversaries throughout the process, reducing the maximum execution time and cost under the user budget constraint. We propose a novel privacy-preserving and cost-effective method called PriCE to solve this multi-objective optimization problem. We performed extensive simulation experiments for artifact detection tasks on medical images using an ensemble of five deep convolutional neural network inferences as the workflow task. Experimental results show that PriCE successfully splits a wide range of input gigapixel medical images with graph-coloring-based strategies, yielding desired output utility and lowering the privacy risk, makespan, and monetary cost under user’s budget. © 2024, CC BY-NC-ND.

关键词： Multiobjective optimization

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Software for Implementing the Directed Cone Optimization Method 14

Software for Implementing the Directed Cone Optimization Met...

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14th International Conference on Advanced computer Information Technologies, ACIT 2024

作者： Melnyk, Bohdan Stakhiv, Petro Melnyk, Nataliya Franko, Yuriy Seniv, Bohdan Martsenyuk, Yevgeniya Ivan Franko National University of Lviv Department of Information Systems of Management Lviv Ukraine Lviv Polytechnic National University Department of Theoretical and General Electrical Engineering Lviv Ukraine Ternopil Volodymyr Hnatiuk National Pedagogical University Department of Computer Technologies Ternopil Ukraine Banking Business Department of Financial Technologies Ternopil Ukraine Ukrainian National University Department of Computer Science West Ternopil Ukraine

ISBN: (纸本)9798350350036

The article is devoted to the development of software for the implementation of the stochastic optimization method. The classical method of the directed cone and its modification are considered. Its shortcomings in the process of searching for the global minimum are pointed out. To improve the search, it is proposed to use algorithms with adaptation of optimization parameters. The architecture of software implementation of optimization algorithms of the directed cone method is proposed. Appropriate software was developed. It was tested on the example of optimization of the structured cable system of the telecommunications network. For this, a corresponding optimization problem is formulated. The results of its solution and application of optimization algorithms are analyzed. © 2024 IEEE.

关键词： Optimization algorithms

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Character spotting and autonomous tagging: offline handwriting recognition for Bangla, Korean and other alphabetic scripts

Character spotting and autonomous tagging: offline handwriti...

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作者： Majid, Nishatul Smith, Elisa H. Barney Department of Physics and Engineering Fort Lewis College DurangoCO United States Department of Electrical and Computer Engineering Boise State University BoiseID United States Embedded Internet Systems Lab Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden

This paper demonstrates a framework for offline handwriting recognition using character spotting and autonomous tagging which works for any alphabetic script. Character spotting builds on the idea of object detection to find character elements in unsegmented word images. An autonomous tagging approach is introduced which automates the production of a character image training set by estimating character locations in a word based on typical character size. Although scripts can vary vividly from each other, our proposed approach provides a simple and powerful workflow for unconstrained offline recognition that should work for any alphabetic script with few adjustments. Here we demonstrate this approach with handwritten Bangla, obtaining a character recognition accuracy (CRA) of 94.8% and 91.12% with precision and autonomous tagging, respectively. Furthermore, we explained how character spotting and autonomous tagging can be implemented for other alphabetic scripts. We demonstrated that with handwritten Hangul/Korean obtaining a Jamo recognition accuracy (JRA) of 93.16% using a tiny fraction of the PE92 training set. The combination of character spotting and autonomous tagging takes away one of the biggest frustrations—data annotation by hand, and thus, we believe this has the potential to revolutionize the growth of offline recognition development. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Character recognition

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