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TechRxiv 2022年

作者： Gupta, Ishu Gurnani, Deeksha Gupta, Neha Singla, Caffy Thakral, Prateek Singh, Ashutosh Kumar Cloud Computing Research Center Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung Taiwan Department of Computer Applications National Institute of Technology Kurukshetra136119 India Department of Computer Science & Engineering Jaypee University of Information Technology Himachal Pradesh Solan India

This paper is about preserving the Cloud data whose idea is to cure everyday problems with computing. Cloud computing is fundamentally pooling the resources virtually and the resources like storage are provided to the end-users through the web. Information preservation, security, uniform quality, and interoperability are some issues related to cloud computing. However, the most essential issue is Security and how it is ensured by a cloud supplier. Security of data can be offered by means of cryptography. This paper presents an improved composite data protection mechanism to protect data on the cloud from illegitimate access. © 2022, CC BY.

关键词： Cryptography

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Efficient Exploitation for Off-Policy Reinforcement Learning via a Novel Multi-scale Tabular Buffer

Efficient Exploitation for Off-Policy Reinforcement Learning...

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Information engineering (ACIE), IEEE Asia Conference on

作者： Shicheng Guo Wei Xue Wei Zhao Yuanxia Shen Gaohang Yu School of Computer Science and Technology Anhui University of Technology Maanshan 243032 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei 230088 China Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet Maanshan 243032 China School of Sciences Hangzhou Dianzi University Hangzhou 310018 China

This paper is concerned with sample efficiency in off-policy reinforcement learning. For efficient exploitation of samples, we propose a novel method for updating buffer that allows important samples to remain in the buffer longer. Specifically, we first propose a new metric to determine the importance of a sample, which takes into account the value of the state and the period confidence level. Secondly, based on this metric, the multi-scale tabular buffer method is proposed, which sets multiple tables in the original buffer, and the size of the tables changes with time. Experiments show that the proposed method outperforms some state-of-the-art methods on a range of benchmark tasks. In particular, on some tasks, our method only requires half of samples to achieve the state-of-the-art performance.

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ANTARCTICA AND THE SOUTHERN OCEAN

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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 2023年第9期104卷 S322-S365页

作者： Clem, Kyle R. Raphael, Marilyn N. School of Geography Environment and Earth Sciences Victoria University of Wellington Wellington New Zealand Scripps Institution of Oceanography University of California San Diego La Jolla California Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder Colorado Earth Science Observation Center Cooperative Institute for Research in Environmental Sciences (ESOC/CIRES) University of Colorado Boulder Boulder Colorado Argentine Naval Hydrographic Service Buenos Aires Argentina Department of Earth and Environmental Science Temple University Philadelphia Pennsylvania Department of Meteorology University of Valparaíso Valparaíso Chile Center for Climate and Resilience Research (CR)2 Santiago Chile British Antarctic Survey Cambridge United Kingdom Science Systems and Applications Inc. Lanham Maryland NASA Goddard Space Flight Center Greenbelt Maryland Royal Netherlands Meteorological Institute (KNMI) DeBilt The Netherlands Department of Marine Sciences University of Gothenburg Gothenburg Sweden Department of Geography Ohio University Athens Ohio NASA Jet Propulsion Laboratory Pasadena California NOAA/OAR Earth System Research Laboratory Global Monitoring Division Boulder Colorado University of Colorado Boulder Boulder Colorado National Oceanography Centre Southampton United Kingdom. Antarctic Meteorological Research and Data Center Space Science and Engineering Center University of Wisconsin-Madison Madison Wisconsin Department of Physical Sciences School of Arts and Sciences Madison Area Technical College Madison Wisconsin Australian Bureau of Meteorology and Institute for Marine and Antarctic Studies (IMAS) University of Tasmania Hobart Australia Earth Science and Observation Center CIRES University of Colorado Boulder Colorado University of St. Andrews St Andrews United Kingdom Princeton University Princeton New Jersey Australian Antarctic Division Australian Antarctic Program Partnership (AAPP) and Australian Centre fo

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applications and resource estimates for open system simulation on a quantum computer

arXiv

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arXiv 2024年

作者： Mozgunov, Evgeny Marshall, Jeffrey Anand, Namit Center for Quantum Information Science & Technology University of Southern California United States Department of Electrical & Computer Engineering University of Southern California United States Quantum Artificial Intelligence Laboratory NASA Ames Research Center Moffett Field CA94035 United States USRA Research Institute for Advanced Computer Science Mountain ViewCA94043 United States KBR Inc. 601 Jefferson St. HoustonTX77002 United States

We present two applications where open system quantum simulation is the preferred approach on a quantum computer. We choose concrete parameters for the problems in such a way that the application value, which we call utility, can be obtained from the solution directly. The scientific utility is exemplified by a computation of nonequilibrium behavior of Ca3Co2O6, which is studied in $2M MagLab experiments. For industrial utility, we develop a methodology that allows researchers of various backgrounds to estimate the economic value of an emerging technology consistently. Our approach predicts $400M utility for the applications of materials with a Metal-Insulator Transition. We focus on the transport calculation in the Hubbard model as the simplest problem that needs to be solved in a large-scale material search. The resource estimates for both problems suffer from a large required runtime, which motivates us to propose novel algorithm optimizations, taking advantage of the translation invariance and the parallelism of the T-gate application. Finally, we introduce several planted solution problems and their obfuscated versions as a benchmark for future quantum devices. © 2024, CC BY.

关键词： Metal insulator transition

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A Reference Vector-Assisted Many-Objective Optimization Algorithm with Adaptive Niche Dominance Relation

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Intelligent Automation & Soft Computing 2024年第2期39卷 189-211页

作者： Fangzhen Ge Yating Wu Debao Chen Longfeng Shen School of Computer Science and Technology Huaibei Normal UniversityHuaibei340604China School of Physic and Electronic Information Huaibei Normal UniversityHuaibei340604China Anhui Engineering Research Center for Intelligent Computing and Application on Cognitive Behavior(ICACB) Huaibei Normal UniversityHuaibei340604China Anhui Province Key Laboratory of Intelligent Computing and Applications Huaibei Normal UniversityHuaibei340604China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei230000China

It is still a huge challenge for traditional Pareto-dominatedmany-objective optimization algorithms to solve manyobjective optimization problems because these algorithms hardly maintain the balance between convergence and diversity and can only find a group of solutions focused on a small area on the Pareto front,resulting in poor performance of those *** this reason,we propose a reference vector-assisted algorithmwith an adaptive niche dominance relation,for short *** new dominance relation forms a niche based on the angle between candidate *** comparing these solutions,the solutionwith the best convergence is found to be the non-dominated solution to improve the selection *** reproduction,a mutation strategy of k-bit crossover and hybrid mutation is used to generate high-quality *** 23 test problems with up to 15-objective,we compared the proposed algorithm with five state-of-the-art *** experimental results verified that the proposed algorithm is competitive.

关键词： Many-objective optimization evolutionary algorithm Pareto dominance reference vector adaptive niche

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Observation of Su-Schrieffer-Heeger Topological Model Band Structure in Integrated LNOI Coupled Ring Cavities

Observation of Su-Schrieffer-Heeger Topological Model Band S...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Hiep X. Dinh Armandas Balcytis Tomoki Ozawa Yasutomo Ota Toshihiko Baba Satoshi Iwamoto Arnan Mitchell Thach G. Nguyen Integrated Photonics and Applications Centre RMIT University Melbourne VIC Australia Advanced Institute for Materials Research Tohoku University Sendai Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan Department of Electrical and Computer Engineering Yokohama National University Yokohama Japan Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan

We report synthetic frequency dimension Su-Schrieffer-Heeger model and its band structure observation using coupled ring cavities on an integrated photonic chip. Intra-cell and inter-cell couplings between hybridized ... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Structural rings Band structures Couplings Frequency modulation Scalability Electro-optic modulators Ring lasers

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PTST: A polar topological structure toolkit and database

arXiv

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arXiv 2025年

作者： Du, Guanshihan Yao, Yuanyuan Zhou, Linming Huang, Yuhui Tanwani, Mohit Tian, He Chen, Yu Song, Kaishi Li, Juan Gao, Yunjun Das, Sujit Wu, Yongjun Chen, Lu Hong, Zijian State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and Engineering Zhejiang University Zhejiang Hangzhou310058 China College of Computer Science Zhejiang University Zhejiang Hangzhou310058 China Zhejiang Key Laboratory of Advanced Solid State Energy Storage Technology and Applications Taizhou Institute of Zhejiang University Zhejiang Taizhou318000 China Materials Research Centre Indian Institute of Science Bangalore560012 India Center of Electron Microscopy School of Materials Science and Engineering Zhejiang University Hangzhou310027 China Institute of Fundamental and Transdisciplinary Research Zhejiang University Hangzhou310058 China Pico Electron Microscopy Center Hainan University Haikou570228 China College of Materials Science and Engineering Zhejiang University of Technology Hangzhou310014 China School of Engineering Hangzhou City University Zhejiang Hangzhou310015 China

Ferroelectric oxide superlattice with complex topological structures such as vortices, skyrmions, and flux-closure domains have garnered significant attention due to their fascinating properties and potential applications. However, progress in this field is often impeded by challenges such as limited data-sharing mechanisms, redundant data generation efforts, high barriers between simulations and experiments, and the underutilization of existing datasets. To address these challenges, we have created the "Polar Topological Structure Toolbox and Database" (PTST). This community-driven repository compiles both standard datasets from high-throughput phase-field simulations and user-submitted nonstandard datasets. The PTST utilizes a Global–Local Transformer (GL-Transformer) to classify polarization states by dividing each sample into spatial sub-blocks and extracting hierarchical features, resulting in ten distinct topological categories. Through the PTST web interface, users can easily retrieve polarization data based on specific parameters or by matching experimental images. Additionally, a Binary Phase Diagram Generator allows users to create strain and electric field phase diagrams within seconds. By providing ready-to-use configurations and integrated machine-learning workflows, PTST significantly reduces computational load, streamlines reproducible research, and promotes deeper insights into ferroelectric topological transitions. © 2025, CC BY-NC-ND.

关键词： Ferroelectric materials

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Revolutionizing Prostate Cancer Diagnosis: Harnessing the Potential of Transfer Learning for MRI-Based Classification

Revolutionizing Prostate Cancer Diagnosis: Harnessing the Po...

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Smart Electronics and Communication (ICOSEC), International Conference on

作者： Sheshang Degadwala Dhairya Vyas Sanjay Trivedi Harsh Dave Patel Khush Nilaykumar Pankaj Dalal Department of Computer Engineering Sigma University Gujarat India The Maharaja Sayajirao University of Baroda Vadodara Gujarat India Surgeon Department of surgery GJPIASR Anand Gujrat Smt.B.K.Shah Medical Institute & Research Center Vadodara Gujarat India Charotar University of Science and Technology Changa India Computer Science & Applications Sigma University Vadodara Gujrat

This study introduces a novel framework that harnesses the potential of transfer learning for MRI -based classification in prostate cancer diagnosis. The study explores the challenges of accurately classifying prostate cancer from MRI images and proposes a methodology that integrates pre-trained deep neural networks with a large, annotated dataset. The framework demonstrates superior performance compared to conventional methods, achieving higher Accuracy, Precision, Recall, Fl-Score. The approach exhibits robustness across different MRI scanners and patient populations, highlighting its potential for real-world clinical applications. Additionally, this study emphasizes the interpretability of the model through visualization techniques, aiding clinicians in understanding the underlying pathology and making informed treatment decisions. Overall, this research contributes to the revolutionization of prostate cancer diagnosis, offering improved accuracy and efficiency in clinical settings and paving the way for advanced computer-aided diagnostic systems.

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Pseudo-mutual gazing enhances interbrain synchrony during remote joint attention tasking

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Brain and Behavior 2023年第10期13卷 e3181页

作者： Chuang, Chun-Hsiang Hsu, Hao-Che Research Center for Education and Mind Sciences College of Education National Tsing Hua University Hsinchu Taiwan Institute of Information Systems and Applications College of Electrical Engineering and Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Computer Science and Engineering National Taiwan Ocean University Keelung Taiwan

Introduction: Mutual gaze enables people to share attention and increase engagement during social interactions through intentional and implicit messages. Although previous studies have explored gaze behaviors and neural mechanisms underlying in-person eye contact, the growing prevalence of remote communication has raised questions about how to establish mutual gaze remotely and how the brains of interacting individuals synchronize. Methods: To address these questions, we conducted a study using eye trackers to create a pseudo-mutual gaze channel that mirrors the gazes of each interacting dyad on their respective remote screens. To demonstrate fluctuations in coupling across brains, we incorporated electroencephalographic hyperscanning techniques to simultaneously record the brain activity of interacting dyads engaged in a joint attention task in player-observer, collaborative, and competitive modes. Results: Our results indicated that mutual gaze could improve the efficiency of joint attention activities among remote partners. Moreover, by employing the phase locking value, we could estimate interbrain synchrony (IBS) and observe low-frequency couplings in the frontal and temporal regions that varied based on the interaction mode. While dyadic gender composition significantly affected gaze patterns, it did not impact the IBS. Conclusion: These results provide insight into the neurological mechanisms underlying remote interaction through the pseudo-mutual gaze channel and have significant implications for developing effective online communication environments. © 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

关键词： cooperation and competition hyperscanning EEG interbrain synchrony joint attention mutual gaze phase locking value

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Manipulating Piezoelectric and Electro-Strain Properties of BiFeO3-BaTiO3-Based Ceramics Through Chemical Doping-Controlled Domain-Size engineering

SSRN

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SSRN 2025年

作者： Lin, Jiamin Liu, Bing Liu, Mengxiang Yang, Shan Zhou, Linming Hong, Zijian Zhu, Xiaoli Wu, Yongjun Li, Juan Huang, Yuhui School of Materials Science and Engineering State Key Laboratory of Silicon and Advanced Semiconductor Materials Cyrus Tang Center for Sensor Materials and Applications Institute of Fundamental and Transdisciplinary Research Zhejiang University Hangzhou310027 China Nanhu Brain-computer Interface Institute Zhejiang Hangzhou311100 China College of Electronic Information and Engineering Hangzhou Dianzi University Zhejiang Hangzhou310018 China Zhejiang Key Laboratory of Advanced Solid State Energy Storage Technology and Applications Taizhou Institute of Zhejiang University Zhejiang Taizhou318000 China School of Engineering Hangzhou City University Zhejiang Hangzhou310015 China College of Materials and Science Engineering Zhejiang University of Technology Zhejiang Hangzhou310006 China

Ferroelectric domains are crucial for the performance of piezoelectric ceramics, as the size and switching dynamics affect polarization response directly, manipulating both ferroelectric and piezoelectric properties. In this study, we achieved BiFeO3-BaTiO3 ceramics with domain sizes from macroscopic to nanoscale by incorporating a small amount of antiferroelectric phase. Contrary to the long-standing belief that smaller ferroelectric domains own lower polarization switching barriers and yield higher piezoelectricity, we found that in chemical doping-controlled domain size engineering, the smaller the domain size, the more difficult it is for polarization switching. Ceramics with the largest domain exhibited superior positive piezoelectric performance due to the sufficient polarization switching and reduced domain wall pinning, achieving a piezoelectric coefficient (d33) of 460 pC/N at 350°C. Middle-sized domains achieved optimal electro-strain performance determined by the trade-off between the domain walls pinning and the increased local tetragonal or orthorhombic symmetries, with a strain (0.29%) and an excellent piezoelectric strain coefficient (d33*) of 726.4 pm/V at 160°C. This work provides novel insights into how domain-size engineering affects domain switching and local distortion, offering guidance for performance optimization of piezoelectric ceramics. © 2025, The Authors. All rights reserved.

关键词： Piezoelectricity

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