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arXiv 2023年

作者： Cho, Junwoo Yun, Seok-Bae Yang, Hyunmo Park, Eunbyung Nam, Seungtae Hong, Youngjoon Department of Artificial Intelligence Sungkyunkwan University Korea Republic of Department of Mathematics Sungkyunkwan University Korea Republic of Department of Mathematical Sciences KAIST Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

Physics-informed neural networks (PINNs) have recently emerged as promising data-driven PDE solvers showing encouraging results on various PDEs. However, there is a fundamental limitation of training PINNs to solve multi-dimensional PDEs and approximate highly complex solution functions. The number of training points (collocation points) required on these challenging PDEs grows substantially, but it is severely limited due to the expensive computational costs and heavy memory overhead. To overcome this issue, we propose a network architecture and training algorithm for PINNs. The proposed method, separable PINN (SPINN), operates on a per-axis basis to significantly reduce the number of network propagations in multi-dimensional PDEs unlike point-wise processing in conventional PINNs. We also propose using forward-mode automatic differentiation to reduce the computational cost of computing PDE residuals, enabling a large number of collocation points (> 107) on a single commodity GPU. The experimental results show drastically reduced computational costs (62× in wall-clock time, 1, 394× in FLOPs given the same number of collocation points) in multi-dimensional PDEs while achieving better accuracy. Furthermore, we present that SPINN can solve a chaotic (2+1)-d Navier-Stokes equation significantly faster than the best-performing prior method (9 minutes vs 10 hours in a single GPU), maintaining accuracy. Finally, we showcase that SPINN can accurately obtain the solution of a highly nonlinear and multi-dimensional PDE, a (3+1)-d Navier-Stokes equation. For visualized results and code, please see https://***/***/. Copyright © 2023, The Authors. All rights reserved.

关键词： Navier Stokes equations

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Pulsed Homodyne Measurement of Multi-Mode Squeezed Vacua for Large Scale Quantum Computation

Pulsed Homodyne Measurement of Multi-Mode Squeezed Vacua for...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Nomura, Takefumi Endo, Mamoru Kashiwazaki, Takahiro Umeki, Takeshi Nehra, Rajveer Takase, Kan Asavanant, Warit Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan NTT Device Technology Labs. NTT Corporation 3-1 Morinosato Wakamiya Kanagawa Atsugi243-0198 Japan Department of Electrical and Computer Engineering University of Massachusetts-Amherst AmherstMA01003 United States Department of Physics University of Massachusetts-Amherst AmherstMA01003 United States

Optical quantum computers require a large number of squeezed vacua. In this research, 36 squeezed spectral modes were produced with type-0 lithium niobate waveguide, thus demonstrating its scalability as a resource fo... 详细信息

ISBN: (纸本)9781957171395

关键词： Quantum computers

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Two-Layer SVM, Towards Deep Statistical Learning 1

Two-Layer SVM, Towards Deep Statistical Learning

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1st International engineering Conference on electrical, Energy, and Artificial Intelligence, EICEEAI 2022

作者： Kazemi, Alireza Boostani, Reza Odeh, Mahmoud Al-Mousa, Mohammad Rasmi Shiraz University Shiraz Faculty of Science Mathematics Department Fars Iran Electrical and Computer Engineering School Shiraz University Shiraz CSEandIT Dept. Fars Iran Zarqa University Department of Management Information System Jordan Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan

ISBN: (纸本)9798350332742

Support Vector Machine (SVM) is originally a binary large-margin classifier emerged from the concept of structural risk minimization. Multiple solutions such as one-versus-one and one-versus-all have been proposed for creating multi-class SVM using elementary binary SVMs. Also multiple solutions have been proposed for SVM model selection, adjusting margin-parameter C and the Gaussian kernel variance. Here, an improved classifier named SVM-SVM is proposed for multi-class problems which increases accuracy and decreases dependency to margin-parameter selection. SVM-SVM adopts two K-class one-vs-one SVMs in a cascaded two-layer structure. In the first layer, input features are fed to one-vs-one SVM with non-linear kernels. We introduce this layer as a large-margin non-linear feature transform that maps input feature space to a discriminative K(K-1)/2 dimensional space. To assess our hierarchical classifier, some datasets from the UCI repository are evaluated. Standard one-vs-one SVM and one-vs-one fuzzy SVM are used as reference classifiers in experiments. Results show significant improvements of our proposed method in terms of test accuracy and robustness to the model (margin and kernel) parameters in comparison with the reference classifiers. Our observations suggest that a multi-layer (deep) SVM structures can gain the same benefits as is seen in the deep neural nets (DNNs). © 2022 IEEE.

关键词： Support vector machines

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Regional Style and Color Transfer

Regional Style and Color Transfer

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computer Vision, Image and Deep Learning (CVIDL), International Conference on

作者： Zhicheng Ding Panfeng Li Qikai Yang Siyang Li Qingtian Gong Fu Foundation School of Engineering and Applied Science Columbia University New York USA Electrical Engineering and Computer Science University of Michigan Ann Arbor USA Department of Computer Science University of Illinois Urbana-Champaign Urbana USA Lubin School of Business Pace University New York USA

ISBN: (数字)9798350373820

ISBN: (纸本)9798350373837

This paper presents a novel contribution to the field of regional style transfer. Existing methods often suffer from the drawback of applying style homogeneously across the entire image, leading to stylistic inconsistencies or foreground object twisted when applied to images with foreground elements such as person figures. To address this limitation, we propose a new approach that leverages a segmentation network to precisely isolate foreground objects within the input image. Subsequently, style transfer is applied exclusively to the background region. The isolated foreground objects are then carefully reintegrated into the style-transferred background. To enhance the visual coherence between foreground and background, a color transfer step is employed on the foreground elements prior to their reincorporation. Finally, we utilize feathering techniques to achieve a seamless amalgamation of foreground and background, resulting in a visually unified and aesthetically pleasing final composition. Extensive evaluations demonstrate that our proposed approach yields significantly more natural stylistic transformations compared to conventional methods.

关键词： Deep learning Image segmentation Visualization computer vision Image color analysis Animals Scalability

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Tunability of characteristics of novel PMMA/ZnO/SnO2 (PZS) polymer nanocomposites

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Materials Research Innovations 2025年

作者： Saini, Shivratan Hashmi, S.Z. Quraishi, A.M. Dalela, Saurabh Choudhary, B.L. Kumar, Shalendra Ahmad, M. Ayaz Khanna, Virat Alvi, P.A. Department of Physical Science Banasthali Vidyapith Banasthali India Department of Chemistry Banasthali Vidyapith Banasthali India Department of Electrical Engineering College of Engineering Qassim University Buraydah Saudi Arabia Department of Pure & Applied Physics University of Kota Kota India Dehradun India Department of Mathematics Physics and Statistics Faculty of Natural Sciences University of Guyana Georgetown Guyana University Centre for Research & Development Chandigarh University Mohali India

The present study explores the tunability of the structural, optical, chemical, and electrical properties of novel PMMA/ZnO/SnO₂ (PZS) polymer nanocomposites by systematically varying the composition of ZnO/SnO₂ nanofillers. The PZS polymer nanocomposites were fabricated via an uncomplicated chemical mixing route. The incorporation of ZnO and SnO₂ nanoparticles into the PMMA matrix enhances the material’s multifunctional characteristics, offering tailored structural, optical, and electrical characteristics. Analysis of XRD, FTIR, and Raman spectra confirms the successful integration of the nanofillers without compromising the polymer’s integrity, while UV-Vis spectroscopy reveals a significant modulation in optical bandgap, refractive index, and Urbach energy. Measurements of electrical parameters (i.e. dielectric constant and loss, dielectric modulus, and electrical conductivity) indicate a synergistic effect of ZnO and SnO₂, leading to improved charge transport, making PZS nanocomposites promising for flexible electronics and optoelectronic applications. This work highlights the tunability of PZS nanocomposites as an advanced material system with customisable properties for next-generation functional materials. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

关键词： II-VI semiconductors

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An Algorithm for Gate Resizing to Reduce Power Dissipation in Combinational Digital Designs 3

An Algorithm for Gate Resizing to Reduce Power Dissipation i...

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3rd IEEE International Conference on Electronics, Control, Optimization and computer Science, ICECOCS 2022

作者： Chabini, Noureddine Belkouch, Said Najoui, Mohamed Royal Military College of Canada Department of Electrical and Computer Engineering KingstonON Canada University of Cadi Ayyad National School of Applied Sciences Marrakech Morocco ENSAM-Rabat Mohammed v University in Rabat E2SN Team Rabat Morocco

ISBN: (数字)9781665457231

ISBN: (纸本)9781665457231

Large gates are fast but dissipate more power compared to small ones. To satisfy timing constraints, large gates can be used on critical paths while small ones can be used elsewhere. In this paper, we address the problem of assigning small gates on non-critical paths under timing constraints. This problem is NP-hard. We propose a heuristic to solve it. © 2022 IEEE.

关键词： CMOS integrated circuits

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CincyMedIR at TREC 2021 Clinical Trial Track 30

CincyMedIR at TREC 2021 Clinical Trial Track

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30th Text REtrieval Conference, TREC 2021

作者： Vu, Hoang Wu, Danny T.Y. Department of Biomedical Informatics University of Cincinnati College of Medicine CincinnatiOH United States Department of Electrical Engineering and Computer Science College of Engineering and Applied Science University of Cincinnati CincinnatiOH United States

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An overview of data integration principles for heterogeneous databases

An overview of data integration principles for heterogeneous...

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Proceedings of the International Convention MIPRO

作者： Aleksandar Stojanović Marko Horvat Ž eljko Kovač ević Department of Informatics and Computer Science Zagreb University of Applied Sciences Zagreb Croatia Department of Applied Computing University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9789532331035

ISBN: (纸本)9781665484343

Modern large-scale information systems often use multiple database management systems, not all of which are necessarily relational. In recent years, NoSQL databases have gained acceptance in certain domains while relational databases remain de facto standard in many others. Many "legacy" information systems also use relational databases. Unlike relational database systems, NoSQL databases do not have a common data model or query language, making it difficult for users to access data in a uniform manner when using a combination of relational and NoSQL databases or simply several different NoSQL database systems. Therefore, the need for uniform data access from such a variety of data sources becomes one of the central problems for data integration. In this paper we provide an overview of the main problems, methods, and solutions for data integration between relational and NoSQL databases, as well as between different NoSQL databases. We focus mainly on the problems of structural, syntactic, and semantic heterogeneity and on proposed solutions for uniform data access, emphasizing some of the more recent proposals.

关键词： NoSQL databases Soft sensors Semantics Data integration Relational databases Writing Syntactics

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Design of Miniaturized Metamaterial Reflector with Doubly Interdigital Structure for 5G Use Cases

Design of Miniaturized Metamaterial Reflector with Doubly In...

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International electrical engineering Congress (iEECON)

作者： Tanee Somwong Pongsathorn Chomtong Jirayut Khamsuthat Nonchanutt Chudpooti Prayoot Akkaraekthalin Department of Electronic and Telecommunications Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Teacher Training in Electrical Engineering Faculty of Technical Education King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This paper presents the design of a miniaturized metamaterial reflector composing of an open-loop transmission line unit cell structure. The transmission line ends are connected by using a double interdigital technique, resulting in a large capacitive value compared to the conventional methods. When combined with the open-loop line employing the trisection step-impedance structure with adjusting of the capacitive value, its second and third resonant frequencies will be controllable. As a result, this approach can reduce the unit cell size from a typical value of λ/2 to an approximate value of λ/16, therefore overall size of the reflector is significantly decreased. The designed unit cell is measured to be 1.05 cm × 1.0 cm. We implemented the proposed reflector on an FR-4 PCB with a relative permittivity of about 4.4, a substrate height (h) of 1.6 mm, and a loss tangent of about 0.02. The operating frequency range targets of 5G use cases were set to be at 1.8 GHz, 2.6 GHz and 3.5 GHz, respectively. When used with a dipole antenna, the bandwidths of 390 MHz, 604 MHz, and 1.1 GHz and the antenna gains of about 8.23 dB, 8.14 dB, and 8.19 dB were obtained at the operating frequencies, respectively.

关键词： Wireless communication 5G mobile communication Dipole antennas Simulation Resonant frequency Reflector antennas Transmission line measurements Metamaterials Gain Substrates

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Automatic Identification of Table Contents in Electronic Component Specifications of EDA 28th

Automatic Identification of Table Contents in Electronic Com...

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28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023

作者： Hong, Tzung-Pei Xu, Yi-Zhen Huang, Shi-Feng Chen, Yi-Ting Lee, Ming-Han Department of Computer Science and Information Engineering National University of Kaohsiung Kaohsiung Taiwan Graduate Institute of Statistics National Central University Taoyuan Taiwan Footprintku Inc. Kaohsiung Taiwan Department of Applied Mathematics National University of Kaohsiung Kaohsiung Taiwan

ISBN: (纸本)9789819717132

With the rapid advancement of technology, the electronics industry has flourished in recent decades. Electronic products such as computers, mobile phones, and smart televisions are ubiquitous in our daily lives. In the design, manufacturing, and maintenance processes of electronic products, a large number of electronic components are required. The relevant information of these components is usually recorded in the tables of electronic component specifications. In this paper, we design methods to recognize and extract contents from tables, which typically contain vital information about electronic components, such as their characteristics and packaging methods. Our approach utilizes text processing techniques to structurally process and analyze the extracted table content, enabling us to obtain the specific information we need. We categorize tables in PDFs into different types and explore relevant information from them using the procedure of each type. The experimental results demonstrate that our method can achieve a high accuracy rate of over 90% in recognizing table contents. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Specifications

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