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IEEE Electron Devices technology and Manufacturing Conference (EDTM)

作者： Huanmei Yuan Yang Char Shunqi Dai Cristine Jin Estrada Yuqing Zhang Annan Xiong Hao Bai Guangyu Du Songhua Cai Zhimin Li Songcen Xu Mansun Chan Department of Electronic & Computer Engineering Hong Kong University of Science & Technology Kowloon Hong Kong China ACCESS - AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing China Department of Applied Physics The Hong Kong Polytechnic University Kowloon Hong Kong China

To overcome the crosstalk problem originating from the sneak path current, a simple structure of $\text{Cu}/\text{Al}_{2}\mathrm{O}_{3}$ /Cu memristor was fabricated in this paper. Results showed that the device presented good bipolar resistive switching characteristic (BRS) as well as the endurance and retention performance. Most importantly, the complimentary resistance switching characteristic (CRS) appeared in this device by adjusting the testing parameters, which is important in crossbar array applications.

关键词： Resistance Performance evaluation Fluctuations Crosstalk Memristors Switches Manufacturing

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Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm

Detection of retinal microlesions through YOLOR-CSP architec...

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International Joint Conference on Neural Networks (IJCNN)

作者： Alejandro Pereira Carlos Santos Marilton Aguiar Daniel Welfer Marcelo Dias Marcelo Ribeiro Reza Ahmadi Computer Science Federal University of Pelotas - UFPel Pelotas Brazil Federal Institute of Education Science and Technology Farroupilha - IFFar Alegrete Brazil Postgraduate Program in Computing Federal University of Pelotas - UFPel Pelotas Brazil Department of Applied Computing Federal University of Santa Maria - UFSM Santa Maria Brazil Geobotica Brisbane Australia

Diabetic retinopathy affects millions of working-age people worldwide. Of the countries in Latin America, Brazil has the highest incidence of cases. Diabetic retinopathy is detected through images of the fundus that contain lesions such as hard exudates, soft exudates, microaneurysms, and hemorrhages. Early identification of these lesions prevents the progression of the disease, which leads to a decrease in visual capacity. In addition, the early identification of these lesions allows the screening of patients who need priority care. The detection of these lesions occurs through the processing and analysis of fundus images using deep learning models. In this work, we present a new method that uses the You Only Learn One Representation with Cross Stage Partial Network (YOLOR-CSP) architecture combined with the Slicing Aided Hyper Inference (SAHI) framework to detect lesions. The proposed method was trained, adjusted, and evaluated using the Dataset for Diabetic Retinopathy (DDR) and the Indian Diabetic Retinopathy Image Dataset (IDRiD). The proposed method obtained in the data set DDR mAP equal to 38.08%, in the validation set, and 22.25% in the test set with SGD optimizer. The presented results were superior in the detection of eye fundus lesions in comparison with similar works found in the state-of-the-art literature.

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Day-ahead inflow forecasting using causal empirical decomposition

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Journal of Hydrology 2022年第PartA期613卷

作者： Yousefi, Mojtaba Cheng, Xiaomei Gazzea, Michele Wierling, August Hubert Rajasekharan, Jayaprakash Helseth, Arild Farahmand, Hossein Arghandeh, Reza Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Science Bergen5063 Norway Smart Innovation Norway Halden1783 Norway Department of Electric Power Engineering Norwegian University of Science and Technology Trondheim7034 Norway Energy systems SINTEF Trondheim7034 Norway

It is essential to have accurate and reliable daily-inflow forecasting to improve short-term hydropower scheduling. This paper proposes a Causal multivariate Empirical mode Decomposition (CED) framework as a complementary pre-processing step for a day-ahead inflow forecasting problem. The idea behind CED is combining physics-based causal inference with signal processing-based decomposition to get the most relevant features among multiple time-series to the inflow values. The CED framework is validated for two areas in Norway with different meteorological and hydrological conditions. The validation results show that using CED as a pre-processing step significantly enhances (up to 70%) the forecasting accuracy for various state-of-the-art forecasting methods. © 2022 The Author(s)

关键词： Forecasting

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Transmon probe for quantum characteristics of magnons in antiferromagnets

arXiv

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arXiv 2023年

作者： Azimi-Mousolou, Vahid Bergman, Anders Delin, Anna Eriksson, Olle Pereiro, Manuel Thonig, Danny Sjöqvist, Erik Department of Applied Mathematics and Computer Science Faculty of Mathematics and Statistics University of Isfahan Isfahan81746-73441 Iran Department of Physics and Astronomy Uppsala University Box 516 UppsalaSE-751 20 Sweden Department of Applied Physics School of Engineering Sciences KTH Royal Institute of Technology AlbaNova University Center StockholmSE-10691 Sweden KTH Royal Institute of Technology StockholmSE-10044 Sweden School of Science and Technology Örebro University ÖrebroSE-701 82 Sweden

The detection of magnons and their quantum properties, especially in antiferromagnetic (AFM) materials, is a substantial step to realize many ambitious advances in the study of nanomagnetism and the development of energy efficient quantum technologies. The recent development of hybrid systems based on superconducting circuits provides the possibility of engineering quantum sensors that exploit different degrees of freedom. Here, we examine the magnon-photon-transmon hybridisation based on bipartite AFM materials, which gives rise to an effective coupling between a transmon qubit and magnons in a bipartite AFM. We demonstrate how magnetically invisible magnon modes, their chiralities and quantum properties such as nonlocality and two-mode magnon entanglement in bipartite AFMs can be characterized through the Rabi frequency of the superconducting transmon qubit. © 2023, CC BY.

关键词： Hybrid systems

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On the Particle Approximation of Lagged Feynman-Kac Formulae

arXiv

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arXiv 2024年

作者： Awadelkarim, Elsiddig Caffarel, Michel Moral, Pierre Del Jasra, Ajay Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia University of Toulouse CNRS-Lab. de Chimie et Physique Quantiques Toulouse31062 France Centre de Recherche Inria Bordeaux Sud-Ouest Talence33405 France School of Data Science The Chinese University Hong Kong Shenzhen China

In this paper we examine the numerical approximation of the limiting invariant measure associated with Feynman-Kac formulae. These are expressed in a discrete time formulation and are associated with a Markov chain and a potential function. The typical application considered here is the computation of eigenvalues associated with non-negative operators as found, for example, in physics or particle simulation of rare-events. We focus on a novel lagged approximation of this invariant measure, based upon the introduction of a ratio of time-averaged Feynman-Kac marginals associated with a positive operator iterated l ∈ N times;a lagged Feynman-Kac formula. This estimator and its approximation using Diffusion Monte Carlo (DMC) have been extensively employed in the physics literature. In short, DMC is an iterative algorithm involving N ∈ N particles or walkers simulated in parallel, that undergo sampling and resampling operations. In this work, it is shown that for the DMC approximation of the lagged Feynman-Kac formula, one has an almost sure characterization of the L1-error as the time parameter (iteration) goes to infinity and this is at most of O(exp{−κl}/N), for_ κ > 0. In addition a non-asymptotic in time, and time uniform L1−bound is proved which is O(l/√N). We also prove a novel central limit theorem to give a characterization of the exact asymptotic in time variance. This analysis demonstrates that the strategy used in physics, namely, to run DMC with N and l small and, for long time enough, is mathematically justified. Our results also suggest how one should choose N and l in practice. We emphasize that these results are not restricted to physical applications;they have broad relevance to the general problem of particle simulation of the Feynman-Kac formula, which is utilized in a great variety of scientific and engineering fields. © 2024, CC BY.

关键词： Eigenvalues and eigenfunctions

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Summary of Energy *** Conference 2022

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Energy Informatics 2022年第SUPPL 4期5卷 1-4页

作者： Ma, Zheng Jørgensen, Birte Holst Chen, Guangchao Madsen, Henrik Duan, Hongbo da Silva, Luiz Carlos Pereira Jørgensen, Bo Nørregaard SDU Center for Energy Informatics The Maersk Mc-Kinney Moller Institute University of Southern Denmark Odense Denmark Department of Wind Energy Society Market and Policy Technical University of Denmark Lyngby Denmark College of Materials Sciences and Opto-Electronic Technology University of Chinese academy of sciences Beijing China Department of Applied Mathematics and Computer Science Technical University of Denmark Lyngby Denmark School of Economics & Management University of Chinese Academy of Sciences Beijing China Campinas Brazil

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Performance Evaluation of Popular Deep Neural Networks for Neural Machine Translation

Performance Evaluation of Popular Deep Neural Networks for N...

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Frontiers of Information technology (FIT)

作者： Muhammad Naeem Abu Bakar Siddique Raja Hashim Ali Usama Arshad Zain ul Abideen Talha Ali Khan Muhammad Huzaifa Shah Ali Zeeshan Ijaz Nisar Ali Faculty of Computer Science & Engineering GIK Institute of Engg. Sciences & Technology Topi Pakistan Dept. of Technology & Software Engineering University of Europe for Applied Sciences Berlin Germany BCMaterials Basque Center for Materials Applications & Nanostructure Leioa Basque Country Spain Faculty of Electronic Systems Engineering University of Regina Regina Canada

The field of Neural Machine Translation (NMT) has shown impressive performance for quick and easy communication in various languages spoken all over the world. NMT helps us by improving communication between different languages. For this purpose, different sequential models are used such as Recurrent Neural Network (RNN), Long Short Term Memory (LSTM), and Gated Recurrent Units (GRU). Analysis among these different models are important for making language translation better and choose the best model for the right job. This research investigates the performance of these models on two distinct language datasets, English-to-German and English-to-Urdu. Based on accuracy metrics, the findings reveal that GRU having test accuracy (88.22% ) outperforms RNN (87.21% ), and LSTM (85.70% )demonstrating the highest translation accuracy, followed by RNN and LSTM exhibiting comparatively lower accuracy levels.

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Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction

arXiv

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arXiv 2024年

作者： Papoutsellis, Evangelos da Costa-Luis, Casper Deidda, Daniel Delplancke, Claire Duff, Margaret Fardell, Gemma Gillman, Ashley Jorgensen, Jakob S. Kereta, Zeljko Ovtchinnikov, Evgueni Pasca, Edoardo Schramm, Georg Thielemans, Kris Finden Ltd Rutherford Appleton Laboratory Harwell Campus United Kingdom Scientific Computing Department Science & Technology Facilities Council Harwell Campus United Kingdom National Physical Laboratory Electricité de France Research and Development France Australian e-Health Res. Ctr. CSIRO BrisbaneQLD Australia Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark Department of Computer Science University College London United Kingdom Department of Imaging and Pathology Division of Nuclear Medicine KU Leuven Leuven Belgium Institute of Nuclear Medicine University College London United Kingdom

We introduce a stochastic framework into the open- source Core Imaging Library (CIL) which enables easy development of stochastic algorithms. Five such algorithms from the literature are developed, Stochastic Gradient Descent, Stochastic Average Gradient (-Amélioré), (Loopless) Stochastic Variance Reduced Gradient. We showcase the functionality of the framework with a comparative study against a deterministic algorithm on a simulated 2D PET dataset, with the use of the open-source Synergistic Image Reconstruction Framework. We observe that stochastic optimisation methods can converge in fewer passes of the data than a standard deterministic algorithm1. © 2024, CC BY.

关键词： Positron emission tomography

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Text-Guided Graph Temporal Modeling for Few-Shot Video Classification

SSRN

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SSRN 2024年

作者： Fuqin, Deng Jiaming, Zhon Li, Nannan Lanhui, Fu Jiang, Bingchun Yi, Ningbo Feng, Qi He, Xin Lun, Lam Tin School of Intelligent Manufacturing the Wuyi University Jiangmen China School of Computer Science and Engineering Faculty of Innovation Engineering Macau University of Science and Technology China School of Textile Materials and Engineering the Wuyi University Jiangmen China School of Applied Physics and Materials Science the Wuyi University Jiangmen China School of Mechanical and Electrical Engineering Guangdong University of Science and Technology Dongguan China Shenzhen Vatop Semicon Tech Co. Ltd. Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society School of Science and Engineering The Chinese University of Hong Kong Shenzhen China

Large-scale pre-trained models and graph neural networks have recently demonstrated remarkable success in few-shot video classification tasks. However, they generally suffer from two key limitations: i) the temporal relations between adjacent frames tends to be ambiguous due to the lack of explicit temporal modeling. ii) the absence of multi-modal semantic knowledge in query videos results in inaccurate prototypes construction and an inability to achieve multi-modal temporal alignment metrics. To address these issues, we develop a Text-guided Graph Temporal Modeling (TgGTM) method that consists of two crucial components: a text-guided feature refinement module and a learnable query text-token contrastive objective. Specifically, the former leverages the temporal masking layer to guide the model in learning temporal relationships between adjacent frames. Additionally, it utilizes multi-modal information to refine video prototypes for comprehensive few-shot video classification. The latter addresses the feature discrepancy between multi-modal support features and single-modal query features by aligning a learnable query text-token with corresponding base class text descriptions. Extensive experiments on three commonly used benchmarks demonstrate the effectiveness of our proposed method, which significantly outperforms existing state-of-the-art methods under various settings. A detailed ablation showcases the importance of learning temporal relationships between adjacent frames and obtaining query text-token. The source code and models will be publicly available at https://***/JiaMingZhong2621/TgGTM. © 2024, The Authors. All rights reserved.

关键词： Semantics

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Design and Security Analysis of Isoidentity based Isobeta Cryptosystem 1

Design and Security Analysis of Isoidentity based Isobeta Cr...

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1st IEEE International Conference on Automation, Computing and Renewable Systems, ICACRS 2022

作者： Bhosale, Nilesh Pohane, Rupesh Meshram, Siddhant Meshram, Akshaykumar Adak, Malabika Reddy, K.T.V. Department of Applied Mathematics Yeshwantrao Chavan College of Engineering M.S. Nagpur441110 India Department of Mathematics Suryodaya College of Engineering and Technology M.S. Nagpur India Computer Science Department New York University Room 305 251 Mercer Street New YorkNY10012 United States M. S. Wardha442004 India

ISBN: (纸本)9781665460842

Digital data protection frameworks inclusive of cryptographic mechanisms and signature crypto mechanisms are essential for stable data communication in open network systems. An extensive open-key folder is not necessary for ID-based crypto mechanisms like ID-based crypto mechanisms, the ID- basedsignature mechanisms, else ID-basedkey circulation mechanisms are between the enhanced an opposing for create stable and protected digital data communication for enormous-scale open network systems recommended by Shamir. This article suggests an isoidentity based isobeta crypto mechanism build on the generalized isodiscrete isologarithm isoproblem and isointeger isofactorization isoproblem that is one of the initial implementations of Shamir's for security norms. Also, we examine the security adverse a conjuration of certain clients in the suggested mechanism, and demonstrate the probability of establishing a higher secure mechanism. © 2022 IEEE

关键词： Cryptography

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