检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Farokhmanesh, F. Höhlein, K. Neuhauser, C. Necker, T. Weissmann, M. Miyoshi, T. Westermann, R. Technical University of Munich Department of Computer Science School of Computation Information and Technology Germany University of Vienna Department of Meteorology and Geophysics Austria RIKEN Center for Computational Science Kobe Japan

We present neural dependence fields (NDFs) – the first neural network that learns to compactly represent and efficiently reconstruct the statistical dependencies between the values of physical variables at different spatial locations in large 3D simulation ensembles. Going beyond linear dependencies, we consider mutual information as an exemplary measure of non-linear dependence. We demonstrate learning and reconstruction with a large weather forecast ensemble comprising 1000 members, each storing multiple physical variables at a 250 × 352 × 20 simulation grid. By circumventing compute-intensive statistical estimators at runtime, we demonstrate significantly reduced memory and computation requirements for reconstructing the major dependence structures. This enables embedding the estimator into a GPU-accelerated direct volume renderer and interactively visualizing all mutual dependencies for a selected domain point. Copyright © 2023, The Authors. All rights reserved.

关键词： Weather forecasting

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based activity recognition and fine motor identification using 2D skeletons of cynomolgus monkeys

引用

Zoological Research 2023年第5期44卷 967-980页

作者： Chuxi Li Zifan Xiao Yerong Li Zhinan Chen Xun Ji Yiqun Liu Shufei Feng Zhen Zhang Kaiming Zhang Jianfeng Feng Trevor W.Robbins Shisheng Xiong Yongchang Chen Xiao Xiao School of Information Science and Technology Micro Nano System Center Fudan UniversityShanghai 200433China Department of Anesthesiology Huashan HospitalKey Laboratory of Computational Neuroscience and Brain-Inspired IntelligenceMinistry of EducationBehavioral and Cognitive Neuroscience CenterInstitute of Science and Technology for Brain-Inspired IntelligenceMOE Frontiers Center for Brain ScienceFudan UniversityShanghai 200433China Kuang Yaming Honors School Nanjing UniversityNanjingJiangsu 210023China Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200433China State Key Laboratory of Primate Biomedical Research Institute of Primate Translational MedicineKunming University of Science and TechnologyKunmingYunnan 650500China New Vision World LLC. Aliso ViejoCalifornia 92656USA Behavioural and Clinical Neuroscience Institute University of CambridgeCambridgeCB21TNUK

Video-based action recognition is becoming a vital tool in clinical research and neuroscientific study for disorder detection and ***,action recognition currently used in non-human primate(NHP)research relies heavily on intense manual labor and lacks standardized *** this work,we established two standard benchmark datasets of NHPs in the laboratory:Monkeyin Lab(Mi L),which includes 13 categories of actions and postures,and MiL2D,which includes sequences of two-dimensional(2D)skeleton ***,based on recent methodological advances in deep learning and skeleton visualization,we introduced the Monkey Monitor Kit(Mon Kit)toolbox for automatic action recognition,posture estimation,and identification of fine motor activity in *** the datasets and Mon Kit,we evaluated the daily behaviors of wild-type cynomolgus monkeys within their home cages and experimental environments and compared these observations with the behaviors exhibited by cynomolgus monkeys possessing mutations in the MECP2 gene as a disease model of Rett syndrome(RTT).Mon Kit was used to assess motor function,stereotyped behaviors,and depressive phenotypes,with the outcomes compared with human manual *** Kit established consistent criteria for identifying behavior in NHPs with high accuracy and efficiency,thus providing a novel and comprehensive tool for assessing phenotypic behavior in monkeys.

关键词： Action recognition Fine motor identification Two-stream deep model 2D skeleton Non-human primates Rett syndrome

来源：评论

学校读者我要写书评

暂无评论

Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM

引用

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 1932-1933页

作者： Roccapriore, Kevin M. Schwarzer, Max Greaves, Joshua Farebrother, Jesse Agarwal, Rishabh Bishop, Colton Ziatdinov, Maxim Mordatch, Igor Cubuk, Ekin D. Courville, Aaron Castro, Pablo Samuel Bellemare, Marc G. Kalinin, Sergei V. Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN United States Montréal QC Canada Department of Computer Science and Operations Research Université de Montréal Montréal QC Canada Google Research Brain Team School of Computer Science McGill University Montréal QC Canada Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN United States Department of Materials Science and Engineering University of Tennessee United States

来源：评论

学校读者我要写书评

暂无评论

Quantum Spin Ice in Three-Dimensional Rydberg Atom Arrays

引用

Physical Review X 2025年第1期15卷 011025-011025页

作者： Jeet Shah Gautam Nambiar Alexey V. Gorshkov Victor Galitski Joint Quantum Institute Department of Physics University of Maryland College Park Maryland 20742 USA Joint Center for Quantum Information and Computer Science NIST/University of Maryland College Park Maryland 20742 USA Center for Computational Quantum Physics The Flatiron Institute New York New York 10010 USA

Quantum spin liquids are exotic phases of matter whose low-energy physics is described as the deconfined phase of an emergent gauge theory. With recent theory proposals and an experiment showing preliminary signs of Z2 topological order [G. Semeghini et al., science 374, 1242 (2021)], Rydberg atom arrays have emerged as a promising platform to realize a quantum spin liquid. In this work, we propose a way to realize a U(1) quantum spin liquid in three spatial dimensions, described by the deconfined phase of U(1) gauge theory in a pyrochlore lattice Rydberg atom array. We study the ground state phase diagram of the proposed Rydberg system as a function of experimentally relevant parameters. Within our calculation, we find that by tuning the Rabi frequency, one can access both the confinement-deconfinement transition driven by a proliferation of “magnetic” monopoles and the Higgs transition driven by a proliferation of “electric” charges of the emergent gauge theory. We suggest experimental probes for distinguishing the deconfined phase from ordered phases. This work serves as a proposal to access a confinement-deconfinement transition in three spatial dimensions on a Rydberg-based quantum simulator.

关键词： Ground state

来源：评论

学校读者我要写书评

暂无评论

Uncovering Hidden Assembly Artifacts: When Unitigs are not Safe and Bidirected Graphs are not Helpful (ABSTRACT) 26th

Uncovering Hidden Assembly Artifacts: When Unitigs are not S...

引用

26th International Conference on Research in computational Molecular Biology, RECOMB 2022

作者： Rahman, Amatur Medvedev, Paul Department of Computer Science and Engineering Penn State University Park United States Department of Biochemistry and Molecular Biology Penn State University Park United States Center for Computational Biology and Bioinformatics Penn State University Park United States

Recent assemblies by the T2T and VGP consortia have achieved significant accuracy but required a tremendous amount of effort and resources. © 2022, The Author(s), under exclusive license to Springer Nature Switze... 详细信息

ISBN: (纸本)9783031047480

关键词： computers

来源：评论

学校读者我要写书评

暂无评论

A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World 26th

A Fast, Provably Accurate Approximation Algorithm for Spars...

引用

26th International Conference on Research in computational Molecular Biology, RECOMB 2022

作者： Chowdhury, Agniva Bose, Aritra Zhou, Samson Woodruff, David P. Drineas, Petros Computer Science and Mathematics Division Oak Ridge National Laboratory Oak RidgeTN United States Computational Genomics IBM T.J. Watson Research Center Yorktown HeightsNY United States School of Computer Science Carnegie Mellon University PittsburghPA United States Department of Computer Science Purdue University West LafayetteIN United States

ISBN: (纸本)9783031047480

Principal component analysis (PCA) is a widely used dimensionality reduction technique in machine learning and multivariate statistics. To improve the interpretability of PCA, various approaches to obtain sparse principal direction loadings have been proposed, which are termed Sparse Principal Component Analysis (SPCA). In this paper, we present ThreSPCA, a provably accurate algorithm based on thresholding the Singular Value Decomposition for the SPCA problem, without imposing any restrictive assumptions on the input covariance matrix. Our thresholding algorithm is conceptually simple;much faster than current state-of-the-art;and performs well in practice. When applied to genotype data from the 1000 Genomes Project, ThreSPCA is faster than previous benchmarks, at least as accurate, and leads to a set of interpretable biomarkers, revealing genetic diversity across the world. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Mixed Reality Based Teleoperation of Surgical Robotics

Mixed Reality Based Teleoperation of Surgical Robotics

引用

International Symposium on Medical Robotics (ISMR)

作者： An Chi Chen Muhammad Hadi Peter Kazanzides Ehsan Azimi Laboratory for Computational Sensing and Robotics Johns Hopkins University Baltimore MD USA Computer Science Department Laboratory for Computational Sensing and Robotics Johns Hopkins University Baltimore MD USA Computer Science Department Malone Center for Engineering in Healthcare Johns Hopkins University Baltimore MD USA

Many surgical robotic systems are controlled by mechanical based devices that require the operator to remain at a fixed location away from the robot. This restriction in mobility and physical barrier between the surgeon and the robot may reduce procedural efficiency. Thus, we propose an alternative teleoperation approach and mixed reality based system that uses the surgeon's tracked hand poses to control the robot through the use of an untethered head mounted display. We conducted a controlled user study to assess the efficacy of our system. Our experimental results indicate that, for the ring-wire task we tested, there is not a considerable difference in the performance of users compared to existing mechanical based teleoperation devices.

关键词： Performance evaluation Medical robotics Head Surgery Mixed reality Control systems Task analysis

来源：评论

学校读者我要写书评

暂无评论

Graph-based variant discovery reveals novel dynamics in the human microbiome

arXiv

引用

arXiv 2024年

作者： Muralidharan, Harihara Subrahmaniam Michaelis, Jacquelyn S. Ghurye, Jay Treangen, Todd Koren, Sergey Fedarko, Marcus Pop, Mihai Department of Computer Science University of Maryland College ParkMD United States Center for Bioinformatics and Computational Biology University of Maryland College ParkMD United States Department of Computer Science Rice University HoustonTX United States Genome Informatics Section Computational and Statistical Genomics Branch National Human Genome Research Institute National Institutes of Health BethesdaMD United States Department of Computer Science University of California San DiegoCA United States

Sequence differences between the strains of bacteria comprising host-associated and environmental microbiota may play a role in community assembly and influence the resilience of microbial communities to disturbances. Tools for characterizing strain-level variation within microbial communities, however, are limited in scope, focusing on just single nucleotide polymorphisms, or relying on reference-based analyses that miss complex functional and structural variants. Here, we demonstrate the power of assembly graph analysis to detect and characterize structural variants in almost 1,000 metagenomes generated as part of the Human Microbiome Project. We identify over nine million variants comprising insertion/deletion events, repeat copy-number changes, and mobile elements such as plasmids. We highlight some of the potential functional roles of these genomic changes. Our analysis revealed striking differences in the rate of variation across body sites, highlighting niche-specific mechanisms of bacterial adaptation. The structural variants we detect also include potentially novel prophage integration events, highlighting the potential use of graph-based analyses for phage discovery. © 2024, CC BY.

关键词： Microorganisms

来源：评论

学校读者我要写书评

暂无评论

Secure Location-based Authenticated Key Establishment Scheme for Maritime Communication

Secure Location-based Authenticated Key Establishment Scheme...

引用

IEEE International Conference on Communications (ICC)

作者： Saurabh Agrawal Anusha Vangala Ashok Kumar Das Neeraj Kumar Sachin Shetty Sajal K. Das Center for Security Theory and Algorithmic Research International Institute of Information Technology Hyderabad India Department of Computer Science Missouri University of Science and Technology Rolla Missouri USA Department of Computer Science and Engineering Thapar University Patiala India Department of Computational Modeling and Simulation Engineering Old Dominion University Suffolk Virginia USA

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Maritime communication helps vessels and ports plan their movements, exchange environmental information, and communicate among themselves. The vessels' movement and changing location are critical to keep them secure from data interception and data tampering by unauthorized parties during transmission. To secure maritime communication, we propose a novel lightweight authentication scheme sensitive to the current ship location. We assess the effectiveness of the proposed protocol in defending against a range of security threats while keeping communication and computation costs low, and meeting the desired security and functional requirements of anonymity and untraceability. The detailed security analysis using the widely accepted Scyther tool demonstrates that location-based keys as proposed in our protocol are secure against location inference and spoofing attacks among others.

关键词： Resistance Protocols Authentication Seaports Data aggregation Security Servers

来源：评论

学校读者我要写书评

暂无评论

Brain Tumor Detection Using ADARN Optimizer

Brain Tumor Detection Using ADARN Optimizer

引用

Disruptive Technologies (ICDT), International Conference on

作者： Rajiv Kumar Avinash Dwivedi Shivani Joshi Vikas Chandra Tripathi Department of Applied Computational Science and Engineering NVIDIA AI Learning & Research Center G L Bajaj Institute of Technology and Management Greater Noida India Department of Computer Science & Engineering Galgotias University Greater Noida Department of Computer Science and Engineering G L Bajaj Institute of Technology and Management Greater Noida India

The use of MRI scans to identify and categorise brain tumors is the main focus of this study. The goal is to develop a precise and reliable method for early identification and accurate categorisation of brain tumours, including pituitary neoplasms, meningiomas, and gliomas. Deep learning methods were utilized to analyze MRI image databases, resulting in a 96% identification accuracy for brain tumors and a 98% categorization accuracy for the three types. This research demonstrates the potential of deep learning techniques for accurate brain tumor identification and categorization. The early identification and precise categorization of brain tumors can assist medical professionals in making informed decisions about the best treatment options for patients, leading to better outcomes and survival rates. The article provides an extensive review of current methods for identifying and classifying brain tumors using MRI data. It emphasizes the critical importance of this field of study in improving patient outcomes and reducing unnecessary treatments.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：