检索结果-内蒙古大学图书馆

New advanced computing Architecture for Cryptography Design and Analysis by D-Wave Quantum Annealer

Tsinghua Science and Technology 2022年第4期27卷 751-759页

作者： Xiangmin Ji Baonan Wang Feng Hu Chao Wang Huanguo Zhang College of Computer Information Science Fujian Agriculture and Forestry UniversityFuzhou 350002China School of Cyber Science and Engineering Wuhan UniversityWuhan 430072China College of Computer Science and Technology Shanghai University of Electric PowerShanghai 200090China International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai UniversityShanghai 200444 State Key Laboratory of Cryptology Beijing 100878China laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai UniversityShanghai 200444 State Key Laboratory of Cryptology Beijing 100878and also with Center for Quantum ComputingPeng Cheng LaboratoryShenzhen 518000China School of Cyber Science and Engineering Wuhan UniversityWuhan 430072

Universal quantum computers are far from achieving practical *** D-Wave quantum computer is initially designed for combinatorial ***,exploring the potential applications of the D-Wave device in the field of cryptography is of great ***,although we optimize the general quantum Hamiltonian on the basis of the structure of the multiplication table(factor up to 1005973),this study attempts to explore the simplification of Hamiltonian derived from the binary structure of the integers to be factored.A simple factorization on 143 with four qubits is provided to verify the potential of further advancing the integer-factoring ability of the D-Wave ***,by using the quantum computing cryptography based on the D-Wave 2000 Q system,this research further constructs a simple version of quantum-classical computing architecture and a Quantum-Inspired Simulated Annealing(QISA)*** functions and a high-performance platform are introduced,and additional balanced Boolean functions with high nonlinearity and optimal algebraic immunity can be *** comparison between QISA and Quantum Annealing(QA)on six-variable bent functions not only shows the potential speedup of QA,but also suggests the potential of architecture to be a scalable way of D-Wave annealer toward a practical cryptography design.

关键词： Quantum Annealing(QA) factorization Boolean functions brain-inspired cognition

来源：评论

学校读者我要写书评

暂无评论

Nurturing the marriages of single atoms with atomic clusters and nanoparticles for better heterogeneous electrocatalysis

引用

Interdisciplinary Materials 2022年第1期1卷 51-87页

作者： Lei Zhang Jiawei Zhu Xin Li Shichun Mu Francis Verpoort Junmin Xue Zongkui Kou John Wang Department of Materials Science and Engineering National University of SingaporeSingaporeSingapore State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhanChina School of Physical&Mathematical Sciences Nanyang Technological UniversitySingaporeSingapore

Single-atom catalysts,featuring some of the most unique activities,selectivity,and high metal utilization,have been extensively studied over the past *** their high activity,selectivity,especially towards small molecules or key intermediate conversions,they can be synergized together with other active species(typically other single atoms,atomic clusters,or nanoparticles)in either tandem or parallel or both,leading to much better performance in complex catalytic *** there have been reports on effectively combining the multiple components into one single catalytic entity,the combination and synergy between single atoms and other active species have not been reviewed and examined in a systematic ***,in this overview,the key synergistic interactions,binary complementary effects,and the bifunctional functions of single atoms with other active species are defined and discussed in *** integration functions of their marriages are in-vestigated with particular emphasis on the homogeneous and heterogeneous combinations,spatial distribution,synthetic strategies,and the thus-derived outstanding catalytic performance,together with new light shined on the catalytic mechanisms by zooming in several case *** dynamic nature of each of the active species and in particular their interactions in such new catalytic entities in the heterogeneous electrocatalytic processes are visited,on the basis of the in situ/operando ***,we feature the current chal-lenges and future perspectives of these integrated catalytic entities that can offer guidance for advanced catalyst design by the rational combination and synergy of binary or multiple active species.

关键词： atomic clusters binary/multiple synergy heterogeneous catalysis nanoparticles single atoms

来源：评论

学校读者我要写书评

暂无评论

ThicknesVAE: Learning a Latera Prior for Clothed Human Body Reconsuction

ThicknesVAE: Learning a Latera Prior for Clothed Human Body ...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wu, Xiaotao Fan, Zhaoxin He, Huiguang Shen, Dinggang School of Biomedical Engineering State Key Laboratory of Advanced Medical Materials and Devices ShanghaiTech University Shanghai201210 China NeuBCI Group State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology Institute of Automation Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Institute of Artificial Intelligence Beihang University Beijing100191 China Beijing Academy of Blockchain and Edge Computing China Shanghai United Imaging Intelligence Co. Ltd. Shanghai200232 China Shanghai Clnical Research and Trial Center Shanghai201210 China

ISBN: (纸本)9798350368741

Sandwich-like structures have shown remarkable efficacy in clothed human reconstruction. However, these approaches often generate unrealistic side geometries due to inadequate handling of lateral regions. This paper addresses this limitation by incorporating the side geometry of clothed humans as a prior. We propose ThicknessVAE, a novel two-stage method that makes two key contributions: (1) We learn a prototype from point clouds for the lateral regions of clothed humans to extract common and detailed geometric features. (2) We utilize this prototype as a prior to transform geometric features into a thickness map associated with clothed human images, enabling refined normal integration for sandwich-like reconstruction methods. By seamlessly integrating our model into the sandwich-like reconstruction pipeline, we achieve highly realistic side views. Both qualitative and quantitative experiments demonstrate that our approach is comparable to state-of-the-art methods in terms of side-view realism. © 2025 IEEE.

关键词： 3D Human Reconsruction Normal Integraton Prior Learning

来源：评论

学校读者我要写书评

暂无评论

Body Shape Recognition and Prototype Construction Based on LightGBM Algorithm

Body Shape Recognition and Prototype Construction Based on L...

引用

2021 International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2021

作者： Wang, Lanmin Wang, Hongmin Liu, Li Liu, Hao School of Textile Science and Engineering Tiangong University Tianjin China School of Fashion Art and Engineering Beijing Institute of Fashion Technology Beijing China Institute of Smart Wearable Electronic Textiles Tiangong University Tianjin China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781643682549

The regional characteristics of middle-aged women in Xinjiang are obvious, and the phenomenon of incompatible clothing is prominent. In order to avoid the information loss of principal component analysis or factor analysis during body type classification, this study uses the LightGBM algorithm to establish a body type recognition model based on the results of K-Means clustering, and compares it with random forest and linear regression recognition models. It is found that the LightGBM model has the best body type recognition effect. it is good. Through correlation analysis and regression analysis, regression equations between variables are obtained. Based on the new cultural prototype, Liu Ruipu women's clothing prototype, and Donghua prototype, a clothing prototype suitable for middle-aged women in Xinjiang is established. Through virtual fitting evaluation and actual fitting, the experimental prototypes established based on the Donghua prototype and the Liu Ruipu prototype can meet the needs of middle-aged women for the comfort and aesthetics of clothing. The experimental prototype established by the Donghua prototype has the best effect. © 2022 The authors and IOS Press.

关键词： K-means clustering

来源：评论

学校读者我要写书评

暂无评论

Generative artificial intelligence and its applications in materials science:Current situation and future perspectives

引用

Journal of Materiomics 2023年第4期9卷 798-816页

作者： Yue Liu Zhengwei Yang Zhenyao Yu Zitu Liu Dahui Liu Hailong Lin Mingqing Li Shuchang Ma Maxim Avdeev Siqi Shi School of Computer Engineering and Science Shanghai UniversityShanghai200444China State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai200444China Materials Genome Institute Shanghai UniversityShanghai200444China Shanghai Engineering Research Center of Intelligent Computing System Shanghai200444China Australian Nuclear Science and Technology Organisation Sydney2232Australia School of Chemistry The University of SydneySydney2006Australia

Generative Artificial Intelligence(GAI)is attracting the increasing attention of materials community for its excellent capability of generating required *** the introduction of Prompt paradigm and reinforcement learning from human feedback(RLHF),GAI shifts from the task-specific to general pattern gradually,enabling to tackle multiple complicated tasks involved in resolving the structure-activity ***,we review the development status of GAI comprehensively and analyze pros and cons of various generative models in the view of *** applications of task-specific generative models involving materials inverse design and data augmentation are also *** ChatGPT as an example,we explore the potential applications of general GAI in generating multiple materials content,solving differential equation as well as querying materials ***,we summarize six challenges encountered for the use of GAI in materials science and provide the corresponding *** work paves the way for providing effective and explainable materials data generation and analysis approaches to accelerate the materials research and development.

关键词： Machine learning Artificial intelligence Generative artificial intelligence Materials science Novel materials discovery Deep learning

来源：评论

学校读者我要写书评

暂无评论

Naming Functions in Stripped Binaries Via Contextual Semantics

SSRN

引用

SSRN 2024年

作者： Xia, Bing Ge, Yunxiang Yin, Jiabin Yang, Ruinan Pang, Jianmin Tang, Chongjun ZhongYuan University of Technology Henan Zhengzhou450007 China Henan Key Laboratory of Cyberspace Situation Awareness Henan Zhengzhou450007 China Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou450007 China

Context:Predicting function names in stripped binaries is a critical challenge in reverse engineering due to their lack of explicit semantic information. Existing machine learning approaches often suffer from poor generalization, especially in dealing with long-tail distributions of function names. Objective:This study introduces BContext2Name, a novel machine-learning model designed to improve the prediction of function names in stripped binaries. The primary goals are to enhance accuracy, address the long-tail effect, and improve generalization capabilities for unknown binaries. Method:BContext2Name incorporates multi-label learning, allowing it to generate multiple related labels from function context information, thus providing richer insights into binary function names. The model also utilizes enhanced control flow graphs to simulate function execution behavior, aiding in the understanding of function semantics. We evaluated the model using 72,074 binary functions from the GNU repository, covering a wide range of applications. Result:Our evaluation shows that BContext2Name surpasses current state-of-the-art methods in predictive accuracy. Specifically, it achieves an F1 score that is 3.55% higher than the XFL method and 15.23% higher than the Nero method. The model also demonstrates better generalization capabilities. Ablation studies confirm the significant impact of multi-label learning on the model's performance enhancement. Conclusion:BContext2Name sets a new benchmark in function name prediction for stripped binaries. By integrating multi-label learning with enhanced control flow graph analysis, the model not only improves prediction accuracy but also addresses key challenges in binary analysis, such as the long-tail effect and generalization issues. This approach represents a significant advancement in machine learning applications for reverse engineering, offering deeper insights into binary code functionalities. © 2024, The Authors. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

引用

2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

来源：评论

学校读者我要写书评

暂无评论

Anti-obfuscation Binary Code Clone Detection Based on Software Gene

Anti-obfuscation Binary Code Clone Detection Based on Softwa...

引用

2021国际计算机前沿大会

作者： Ke Tang Fudong Liu Zheng Shan Chunyan Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing

Information technology facilitates people's lives greatly,while it also brings many security issues,such as code plagiarism,software in-fringement,and malicious *** order to solve the problems,reverse engineering is applied to analyze abundant binary code manually,which costs a lot of ***,due to the maturity of different obfuscation techniques,the disassembly code generated from the same function differs greatly in the opcode and control flow graph through different obfuscation *** paper propose a method inspired by natural language processing,to realize the semantic similarity matching of binary code in basic block granularity and function *** the similarity matching task of binary code obtained by different obfuscation options of LLVM,the indicator reaches 99%,which is better than the existing technologies.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High-Order Local Discontinuous Galerkin Method with Multi-Resolution WENO Limiter for Navier-Stokes Equations on Triangular Meshes

引用

Communications in Computational Physics 2023年第5期33卷 1217-1239页

作者： Yizhou Lu Jun Zhu Shengzhu Cui Zhenming Wang Linlin Tian Ning Zhao State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsJiangsu 210000P.R.China Key Laboratory of Mathematical Modeling and High Performance Computing of Air Vehicles Nanjing University of Aeronautics and AstronauticsJiangsu 210000P.R.China Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design Nanjing University of Aeronautics and AstronauticsJiangsu 210000P.R.China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsJiangsu 210000P.R.China

In this paper,a new multi-resolution weighted essentially non-oscillatory(MR-WENO)limiter for high-order local discontinuous Galerkin(LDG)method is designed for solving Navier-Stokes equations on triangular *** MR-WENO limiter is a new extension of the finite volume MR-WENO *** new limiter uses information of the LDG solution essentially only within the troubled cell itself,to build a sequence of hierarchical L^(2)projection polynomials from zeroth degree to the highest degree of the *** an example,a third-order LDGmethod with associated same orderMR-WENO limiter has been developed in this paper,which could maintain the original order of accuracy in smooth regions and could simultaneously suppress spurious oscillations near strong shocks or contact *** linear weights of such new MR-WENO limiter can be any positive numbers on condition that their summation is *** is the first time that a series of different degree polynomials within the troubled cell are applied in a WENO-type fashion to modify the freedom of degrees of the LDG solutions in the troubled *** MR-WENO limiter is very simple to construct,and can be easily implemented to arbitrary high-order accuracy and in higher dimensions on unstructured *** spatial reconstruction methodology improves the robustness in the numerical simulation on the same compact spatial stencil of the original LDG methods on triangular *** classical viscous examples are given to show the good performance of this third-order LDG method with associated MR-WENO limiter.

关键词： Local discontinuous Galerkin method multi-resolution WENO limiter triangular meshes Navier-Stokes equations

来源：评论

学校读者我要写书评

暂无评论

Personalized Federated Learning with Collaborative Aggregation Networks for Multi-Site Brain Disorder Diagnosis 4

Personalized Federated Learning with Collaborative Aggregati...

引用

4th International Conference on Industrial Automation, Robotics and Control engineering, IARCE 2024

作者： Si, Qian Li, Yang School of Cyber Science and Technology Beihang University Beijing China Department of Automation Science and Electrical Engineering The Beijing Advanced Innovation Center for Big Data and Brain Computing State Key Laboratory of Virtual Reality Technology and Systems Beijing China Advanced Institute of Information Technology Peking University Beijing China Beihang University Beijing China

ISBN: (纸本)9798350380323

In multi-site brain disease diagnosis studies, traditional centralized training methods necessitate sharing medical data, posing significant privacy risks. Federated learning (FL) offers a privacy-preserving solution by enabling global model training through aggregating locally trained models from multiple data centers without sharing raw data. However, current FL approaches rely on a server-based network topology, where central server failure disrupts training. Additionally, data heterogeneity across sites often slows convergence and reduces accuracy. To overcome these issues, we introduce a decentralized personalized federated learning collaborative aggregation network (pFedCAN). This framework has two core components: (1) separating local models into shared and personalized layers, and (2) forming a collaborative aggregation network via similarity detection in the shared layers. Specifically, each center trains its local model, then separates it into shared and personalized layers. The shared layer is exchanged with other centers, while the personalized layer remains local. Data centers analyze similarities in received shared layers to build a collaborative network, where shared layers from similar centers are aggregated to refine the model. This approach flexibly adapts to varying levels of data heterogeneity, enhancing model training efficiency. Validation on public datasets, ABIDE I and ADHD, shows that the proposed method outperforms current leading techniques. © 2024 IEEE.

关键词： Federated learning

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：