检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,293 篇 会议
9 篇 期刊文献
1 册 图书

馆藏范围

1,303 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

751 篇 工学
- 679 篇 计算机科学与技术...
- 314 篇 软件工程
- 246 篇 信息与通信工程
- 243 篇 电气工程
- 154 篇 仪器科学与技术
- 42 篇 电子科学与技术（可...
- 26 篇 控制科学与工程
- 10 篇 生物医学工程（可授...
- 9 篇 生物工程
- 8 篇 机械工程
- 7 篇 动力工程及工程热...
- 5 篇 光学工程
- 5 篇 网络空间安全
- 4 篇 力学（可授工学、理...
- 4 篇 建筑学
- 4 篇 土木工程
- 3 篇 航空宇航科学与技...
- 3 篇 环境科学与工程（可...
104 篇 理学
- 71 篇 数学
- 13 篇 物理学
- 13 篇 生物学
- 13 篇 系统科学
- 7 篇 统计学（可授理学、...
- 3 篇 地球物理学
32 篇 管理学
- 19 篇 管理科学与工程(可...
- 15 篇 图书情报与档案管...
- 11 篇 工商管理
10 篇 医学
- 8 篇 临床医学
4 篇 经济学
- 4 篇 应用经济学
4 篇 法学
- 3 篇 法学
2 篇 文学
1 篇 农学
1 篇 军事学

主题

142 篇 parallel process...
110 篇 computer archite...
74 篇 computational mo...
69 篇 concurrent compu...
69 篇 multicore proces...
64 篇 computer network...
60 篇 distributed comp...
58 篇 application soft...
56 篇 hardware
53 篇 graphics process...
50 篇 network topology
48 篇 routing
48 篇 graphics process...
48 篇 instruction sets
48 篇 kernel
42 篇 parallel program...
41 篇 bandwidth
41 篇 protocols
40 篇 scalability
40 篇 delay

机构

5 篇 sharif univ tech...
4 篇 school of comput...
4 篇 department of el...
3 篇 national institu...
3 篇 state key labora...
3 篇 bauhaus univ wei...
3 篇 departamento de ...
3 篇 shenzhen univ pe...
3 篇 services computi...
3 篇 department of co...
3 篇 department matem...
3 篇 faculty of media...
3 篇 cnr ist informat...
3 篇 college of compu...
3 篇 tech univ berlin
3 篇 pontifical catho...
3 篇 russian acad sci...
3 篇 abo akad univ fa...
3 篇 pontifical catho...
3 篇 univ fed rio gra...

作者

14 篇 kotenko igor
12 篇 bagherzadeh nade...
7 篇 nader bagherzade...
7 篇 saenko igor
7 篇 griebler dalvan
6 篇 mencagli gabriel...
6 篇 schepke claudio
6 篇 marco danelutto
6 篇 mauricio marin
6 篇 gross tom
6 篇 marco aldinucci
6 篇 danelutto marco
5 篇 ortega julio
5 篇 fernandes luiz g...
5 篇 j. duato
5 篇 julio ortega
5 篇 igor kotenko
5 篇 jin hai
5 篇 daneshtalab maso...
5 篇 m. danelutto

语言

1,298 篇 英文
4 篇 其他
1 篇 中文

检索条件"任意字段=11th Euromicro Conference on Parallel, Distributed and Network-Based Processing"

共 1303 条记录，以下是31-40 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Proceedings of the 17th euromicro International conference on parallel, distributed and network-based processing, PDP 2009: Preface from the organizing chair

Proceedings of the 17th Euromicro International Conference o...

引用

Proceedings of the 17th euromicro International conference on parallel, distributed and network-based processing, PDP 2009 2009年 x页

作者： Gross, Tom

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the 17th euromicro International conference on parallel, distributed and network-based processing, PDP 2009: Preface from the program chairs

Proceedings of the 17th Euromicro International Conference o...

引用

Proceedings of the 17th euromicro International conference on parallel, distributed and network-based processing, PDP 2009 2009年 xi页

作者： Baz, Didier El Spies, François Gross, Tom

来源：评论

学校读者我要写书评

暂无评论

14th euromicro International conference on parallel, distributed, and network-based processing - Copyright Page

14th Euromicro International Conference on Parallel, Distrib...

引用

euromicro conference on parallel, distributed and network-based processing

Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. the papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. they reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.

关键词：

来源：评论

学校读者我要写书评

暂无评论

15th euromicro International conference on parallel, distributed and network-based processing - Copyright

15th EUROMICRO International Conference on Parallel, Distrib...

引用

euromicro conference on parallel, distributed and network-based processing

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Noise-based Approach Augmented with Neural Cleanse and JPEG Compression to Counter Adversarial Attacks on Image Classification Systems 33

A Noise-Based Approach Augmented with Neural Cleanse and JPE...

引用

33rd euromicro International conference on parallel, distributed, and network-based processing, PDP 2025

作者： Kotenko, Igor Saenko, Igor Lauta, Oleg Vasiliev, Nikita Sadovnikov, Vladimir Laboratory of Computer Security Problems Saint-Petersburg Russia Admiral Makarov State University of Maritime and Inland Shipping Department of Telecommunications and Information Security Saint-Petersburg Russia

ISBN: (纸本)9798331524937

Adversarial attacks are now becoming quite a dangerous means of disrupting image processing systems that use machine learning methods for decision making. therefore, developing effective countermeasures against adversarial attacks is becoming quite an important area of cybersecurity. the paper proposes a noise-based approach to countering adversarial attacks that is augmented with neural-cleanse and jpeg-compression technologies. the idea of the proposed approach is that adding noise distorts the effect of an adversarial attack, and neural cleaning and jpeg compression eliminate the consequences of such an effect. the paper examines the three most well-known types of adversarial attacks: Fast Gradient Sign Method, Zeroth Order Optimization and One Pixel Attack. these attacks manipulate input data, resulting in misclassification or incorrect predictions by exploiting high-frequency components that are undetectable to humans. the research was carried out on two datasets: MNIST-JPG and PC Parts Images. Two types of noise were used: Gaussian and Poisson. During the experiments, optimal parameters for these types of noise were found, ensuring maximum accuracy of image recognition after exposure to adversarial attacks. © 2025 IEEE.

关键词： Disinfection

来源：评论

学校读者我要写书评

暂无评论

HPC and GPU solutions for radio interferometry using RICK 33

HPC and GPU solutions for radio interferometry using RICK

引用

33rd euromicro International conference on parallel, distributed, and network-based processing, PDP 2025

作者： De Rubeis, Emanuele Gheller, Claudio Lacopo, Giovanni Tornatore, Luca Elahi, Pascal Jahan Cytowski, Maciej Taffoni, Giuliano Varetto, Ugo Università di Bologna Istituto di Radioastronomia Dipartimento di Fisica e Astronomia INAF via Gobetti 93/2 BolognaI-40129 Italy Istituto di Radioastronomia INAF Via P. Gobetti 101 Bologna40129 Italy Università degli studi di Trieste INAF Astronomical Observatory of Trieste Trieste Italy INAF Astronomical Observatory of Trieste via GB Tiepolo 11 Trieste34143 Italy Pawsey Supercomputing Centre 1 Bryce Avenue KensingtonWA6151 Australia

ISBN: (纸本)9798331524937

Since the last decade, radio astronomy has started a new era: the advent of the Square Kilometer Array (SKA), preceded by its pathfinders, will produce a huge amount of data that will be hard to process with a traditional approach. this means that the current state-of-the-art software for data reduction and imaging will have to be re-modeled to face such data challenge. In order to manage such an increase in data size and computational requirements, scientists need to exploit modern high-performance computing (HPC) architectures. In particular, heterogeneous systems, based on complex combinations of CPUs, accelerators, high-speed networks and composite storage devices need to be used in an efficient and effective way. In this paper, we present an overview on Radio Imaging Code Kernels (RICK;[1];[2];[3]), a code able to perform the most computationally demanding steps of w-stacking gridder algorithm exploiting distributed parallelism and GPU acceleration. GPU offloading is possible through CUDA, HIP, and OpenMP, aiming at the largest possible usability among multiple architectures. After detailing the (multi-)GPU approach to the problem and listing all the new code implementations, we analyze its performances considering both the computational and communication workload. We will show how the full, distributed GPU offload of the code, first of its kind and crucial to deal with increasingly large interferometric data, represents not only an extremely fast and optimized approach, but also the greenest one if compared to its parallel CPU counterpart. this code, now publicly available, has been tested with a wide variety of modern interferometers and SKA pathfinders. this represents, to date, the first example of radio imaging software fully enabled to GPUs, becoming a potential state-of-the-art approach for the upcoming SKA. Finally, we will also present the future perspectives about the code, planned to be converted into a library and possibly be used by any of the most

关键词： parallel architectures

来源：评论

学校读者我要写书评

暂无评论

Benchmarking Quantum Convolutional Neural networks for Signal Classification in Simulated Gamma-Ray Burst Detection 33

Benchmarking Quantum Convolutional Neural Networks for Signa...

引用

33rd euromicro International conference on parallel, distributed, and network-based processing, PDP 2025

作者： Farsian, Farida Parmiggiani, Nicolo Rizzo, Alessandro Panebianco, Gabriele Bulgarelli, Andrea Schilliro, Francesco Burigana, Carlo Cardone, Vincenzo Cappelli, Luca Meneghetti, Massimo Murante, Giuseppe Sarracino, Giuseppe Scaramella, Roberto Testa, Vincenzo Trombetti, Tiziana OACT INAF Via S. Sofia 78 Catania Italy OAS INAF Via Pietro Gobetti 93/3 Bologna Italy IRA INAF Via Pietro Gobetti 101 Bologna Italy OAR INAF Via Frascati 33 Monteporzio Catone Italy OATs INAF Via Tiepolo 11 Trieste Italy OACN INAF Via Moiariello 16 Napoli Italy

ISBN: (纸本)9798331524937

this study evaluates the use of Quantum Convolutional Neural networks (QCNNs) for identifying signals resembling Gamma-Ray Bursts (GRBs) within simulated astrophysical datasets in the form of light curves. the task addressed here focuses on distinguishing GRB-like signals from background noise in simulated Cherenkov Telescope Array Observatory (CTAO) data, the next-generation astrophysical observatory for very high-energy gamma-ray science. QCNNs, a quantum counterpart of classical Convolutional Neural networks (CNNs), leverage quantum principles to process and analyze high-dimensional data efficiently. We implemented a hybrid quantum-classical machine learning technique using the Qiskit framework, with the QCNNs trained on a quantum simulator. Several QCNN architectures were tested, employing different encoding methods such as Data Reuploading and Amplitude encoding. Key findings include that QCNNs achieved accuracy comparable to classical CNNs, often surpassing 90%, while using fewer parameters, potentially leading to more efficient models in terms of computational resources. A benchmark study further examined how hyperparameters like the number of qubits and encoding methods affected performance, with more qubits and advanced encoding methods generally enhancing accuracy but increasing complexity. QCNNs showed robust performance on time-series datasets, successfully detecting GRB signals with high precision. the research is a pioneering effort in applying QCNNs to astrophysics, offering insights into their potential and limitations. this work sets the stage for future investigations to fully realize the advantages of QCNNs in astrophysical data analysis. © 2025 IEEE.

关键词： network coding

来源：评论

学校读者我要写书评

暂无评论

Validator's Opinion Dynamic in a Practical Byzantine Fault Tolerant network 11

Validator's Opinion Dynamic in a Practical Byzantine Fault T...

引用

11th Vienna International conference on Mathematical Modelling, MAthMOD 2025

作者： Guedjali, Rachid Georges, Jean-Philippe Kubler, Sylvain Université de Lorraine CNRS CRAN NancyF-54000 France University of Luxembourg SnT L-1359 Luxembourg

Byzantine Fault Tolerance (BFT) is a key framework for improving the resilience of distributed systems, particularly in blockchain networks. However, a major drawback of current consensus mechanisms is their inability to adapt to changing validator behavior. this paper introduces a novel probabilistic opinion dynamics model aimed at analyzing and predicting validator behavior in BFT-based blockchain systems. the model simulates the evolution of validator states and opinions to detect security vulnerabilities and anomalies that could compromise the network's integrity. By monitoring the proportion of validators exhibiting similar behaviors or voting patterns, the model enables early detection of suspicious activities, allowing timely interventions through appropriate countermeasures. Simulation results demonstrate the model's effectiveness in identifying and mitigating various forms of attacks, including transient and persistent threats, thereby enhancing the security and overall of the blockchain network. Copyright © 2025 the Authors.

关键词： Stochastic models

来源：评论

学校读者我要写书评

暂无评论

HPC and GPU solutions for radio interferometry using RICK

HPC and GPU solutions for radio interferometry using RICK

引用

euromicro conference on parallel, distributed and network-based processing

作者： Emanuele De Rubeis Claudio Gheller Giovanni Lacopo Luca Tornatore Pascal Jahan Elahi Maciej Cytowski Giuliano Taffoni Ugo Varetto Dipartimento di Fisica e Astronomia Università di Bologna Istituto di Radioastronomia INAF via Gobetti 93/2 Bologna Italy Istituto di Radioastronomia INAF Via P. Gobetti 101 Bologna Italy INAF Astronomical Observatory of Trieste Università degli studi di Trieste Trieste Italy INAF Astronomical Observatory of Trieste via GB Tiepolo 11 Trieste Italy Pawsey Supercomputing Centre 1 Bryce Avenue Kensington WA Australia

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Since the last decade, radio astronomy has started a new era: the advent of the Square Kilometer Array (SKA), preceded by its pathfinders, will produce a huge amount of data that will be hard to process with a traditional approach. this means that the current state-of-the-art software for data reduction and imaging will have to be re-modeled to face such data challenge. In order to manage such an increase in data size and computational requirements, scientists need to exploit modern high-performance computing (HPC) architectures. In particular, heterogeneous systems, based on complex combinations of CPUs, accelerators, high-speed networks and composite storage devices need to be used in an efficient and effective way. In this paper, we present an overview on Radio Imaging Code Kernels (RICK; [1]; [2]; [3]), a code able to perform the most computationally demanding steps of w-stacking gridder algorithm exploiting distributed parallelism and GPU acceleration. GPU offloading is possible through CUDA, HIP, and OpenMP, aiming at the largest possible usability among multiple architectures. After detailing the (multi-)GPU approach to the problem and listing all the new code implementations, we analyze its performances considering both the computational and communication workload. We will show how the full, distributed GPU offload of the code, first of its kind and crucial to deal with increasingly large interferometric data, represents not only an extremely fast and optimized approach, but also the greenest one if compared to its parallel CPU counterpart. this code, now publicly available, has been tested with a wide variety of modern interferometers and SKA pathfinders. this represents, to date, the first example of radio imaging software fully enabled to GPUs, becoming a potential state-of-the-art approach for the upcoming SKA. Finally, we will also present the future perspectives about the code, planned to be converted into a library and possibly be used by any of the m

关键词： Performance evaluation Codes Radio astronomy High performance computing Graphics processing units Imaging Radio interferometry Computer architecture Software Usability

来源：评论

学校读者我要写书评

暂无评论

Benchmarking Quantum Convolutional Neural networks for Signal Classification in Simulated Gamma-Ray Burst Detection

Benchmarking Quantum Convolutional Neural Networks for Signa...

引用

euromicro conference on parallel, distributed and network-based processing

作者： Farida Farsian Nicoló Parmiggiani Alessandro Rizzo Gabriele Panebianco Andrea Bulgarelli Francesco Schilliró Carlo Burigana Vincenzo Cardone Luca Cappelli Massimo Meneghetti Giuseppe Murante Giuseppe Sarracino Roberto Scaramella Vincenzo Testa Tiziana Trombetti OACT INAF Via S. Sofia 78 Catania Italy OAS INAF Via Pietro Gobetti 93/3 Bologna Italy IRA INAF Via Pietro Gobetti 101 Bologna Italy OAR INAF Via Frascati 33 Monteporzio Catone Italy OATs INAF Via Tiepolo 11 Trieste Italy OACN INAF Via Moiariello 16 Napoli Italy

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

关键词： Observatories Accuracy Quantum advantage Gamma-ray bursts Qubit Benchmark testing Telescopes Encoding Convolutional neural networks Signal detection

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共131页 << < 1 2 3 4 5 6 7 8 9 10 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：