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

1,737 篇 会议
23 篇 期刊文献
7 册 图书

馆藏范围

1,767 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,206 篇 工学
- 1,097 篇 计算机科学与技术...
- 694 篇 软件工程
- 221 篇 信息与通信工程
- 163 篇 电气工程
- 122 篇 电子科学与技术（可...
- 97 篇 控制科学与工程
- 82 篇 生物工程
- 61 篇 动力工程及工程热...
- 49 篇 机械工程
- 46 篇 生物医学工程（可授...
- 31 篇 交通运输工程
- 30 篇 光学工程
- 29 篇 仪器科学与技术
- 25 篇 环境科学与工程（可...
- 24 篇 化学工程与技术
- 20 篇 网络空间安全
- 17 篇 力学（可授工学、理...
- 17 篇 材料科学与工程（可...
497 篇 理学
- 320 篇 数学
- 96 篇 生物学
- 83 篇 系统科学
- 78 篇 物理学
- 72 篇 统计学（可授理学、...
- 34 篇 化学
269 篇 管理学
- 182 篇 管理科学与工程(可...
- 121 篇 图书情报与档案管...
- 116 篇 工商管理
62 篇 医学
- 55 篇 临床医学
36 篇 法学
- 35 篇 社会学
32 篇 经济学
- 32 篇 应用经济学
8 篇 教育学
6 篇 农学
3 篇 文学
2 篇 军事学

主题

198 篇 computer archite...
80 篇 hardware
79 篇 computational mo...
66 篇 high performance...
57 篇 cloud computing
50 篇 grid computing
41 篇 distributed comp...
41 篇 field programmab...
40 篇 bandwidth
37 篇 kernel
37 篇 graphics process...
34 篇 resource managem...
34 篇 computer network...
33 篇 performance eval...
32 篇 throughput
31 篇 computer science
31 篇 application soft...
31 篇 analytical model...
30 篇 program processo...
29 篇 supercomputers

机构

26 篇 college of compu...
19 篇 university of ch...
14 篇 school of comput...
10 篇 college of compu...
9 篇 school of comput...
9 篇 college of compu...
8 篇 school of comput...
7 篇 school of data a...
7 篇 school of comput...
7 篇 institute of com...
6 篇 computer network...
6 篇 tsinghua univers...
6 篇 school of cyber ...
6 篇 changsha univers...
5 篇 university of sc...
5 篇 skl of computer ...
5 篇 computer science...
5 篇 school of comput...
5 篇 hubei province k...
5 篇 zhongguancun lab...

作者

11 篇 duan yucong
7 篇 zhang tao
7 篇 li kenli
7 篇 xu xiaolong
6 篇 wang wei
6 篇 gao guang r.
5 篇 li peng
5 篇 yunquan zhang
5 篇 liu qin
5 篇 wang dong
5 篇 bader david a.
5 篇 liu ruicheng
5 篇 zhang rui
5 篇 wan shouhong
5 篇 wu jigang
5 篇 panda dhabaleswa...
5 篇 zhang jie
5 篇 wang xiaoliang
5 篇 chen long
5 篇 li wei

语言

1,717 篇 英文
46 篇 其他
3 篇 中文
1 篇 波兰文

检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

共 1767 条记录，以下是111-120 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：

Optimizing the Resource and Job Management System of an Academic HPC & Research computing Facility 21

Optimizing the Resource and Job Management System of an Acad...

引用

21st IEEE international symposium on Parallel and Distributed computing (ISPDC)

作者： Varrette, Sebastien Kieffer, Emmanuel Pinel, Frederic Univ Luxembourg Luxembourg Fac Sci Technol & Med FSTM 2 Ave Univ L-4365 Esch Sur Alzette Luxembourg

ISBN: (数字)9781665488020

ISBN: (纸本)9781665488020

high performance computing (HPC) is nowadays a strategic asset required to sustain the surging demands for massive processing and data-analytic capabilities. In practice, the effective management of such large scale and distributed computing infrastructures is left to a Resource and Job Management System (RJMS). This essential middleware component is responsible for managing the computing resources, handling user requests to allocate resources while providing an optimized framework for starting, executing and monitoring jobs on the allocated resources. The University of Luxembourg has been operating for 15 years a large academic HPC facility which relies since 2017 on the Slurm RJMS introduced on top of the flagship cluster Iris. The acquisition of a new liquid-cooled supercomputer named Aion which was released in 2021 was the occasion to deeply review and optimize the seminal Slurm configuration, the resource limits defined and the sustaining fairsharing algorithm. This paper presents the outcomes of this study and details the implemented RJMS policy. The impact of the decisions made over the supercomputers workloads is also described. In particular, the performance evaluation conducted highlights that when compared to the seminal configuration, the described and implemented environment brought concrete and measurable improvements with regards the platform utilization (+12.64%), the jobs efficiency (as measured by the average Wall-time Request Accuracy, improved by 110.81%) or the management and funding (increased by 10%). The systems demonstrated sustainable and scalable HPC performances, and this effort has led to a negligible penalty on the average slowdown metric (response time normalized by runtime), which was increased by 0.59% for job workloads covering a complete year of exercise. Overall, this new setup has been in production for 18 months on both supercomputers and the updated model proves to bring a fairer and more satisfying experience to the end users.

关键词： Slurm Fairsharing Workload analysis

来源：评论

学校读者我要写书评

暂无评论

UNVEILING THE POWER OF high-QUALITY OCT: AN EFFECTIVE FUNDUS-BASED MODALITY FUSION NETWORK FOR FOVEA LOCALIZATION 21

UNVEILING THE POWER OF HIGH-QUALITY OCT: AN EFFECTIVE FUNDUS...

引用

21st IEEE international symposium on Biomedical Imaging (ISBI)

作者： He, Huaqing Lin, Li Cai, Zhiyuan Cheng, Pujin Tang, Xiaoying Southern Univ Sci & Technol Dept Elect & Elect Engn Shenzhen Peoples R China Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China

ISBN: (纸本)9798350313345;9798350313338

Accurately locating the fovea, the central point of the macula, is crucial for the development of computer-aided diagnosis systems in the field of retinal diseases. However, achieving accurate localization can be challenging, especially with poor-quality fundus images. To address this, we propose a multi-modal fusion network that leverages high-quality optical coherence tomography (OCT) for robust fovea localization. We demonstrate that the quality of OCT data is more critical for model performance than merely increasing the quantity of data. Our multi-modal framework demonstrates modality robustness, enabling stable performance even in the absence of the OCT modality during training. By employing the dual representation of Convolution Neural Network and Vision Transformer networks, our approach effectively extracts both global information of the fundus and local information of the macula region, facilitating the interaction and fusion of features. This comprehensive approach enhances the reliability and robustness of retinal image analysis, with a focus on the importance of OCT data quality. Our approach establishes new state-of-the-art results on the GAMMA dataset. We make our code available at https://***/HuaqingHe/EFMFuse.

关键词： Fovea localization OCT multi-modality fusion data quality deep learning

来源：评论

学校读者我要写书评

暂无评论

Autonomous cruise control of intelligent high-speed train with online energy-saving optimization 21

Autonomous cruise control of intelligent high-speed train wi...

引用

21st IEEE international symposium on Parallel and Distributed Processing with Applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Zhou, Feng Liang, Hongkun Tao, Kewu Li, Shuo Changsha University of Science and Technology College of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350329223

The rapid development of intelligent transportation technology has promoted the progress of multiple trains cooperative technology. This paper proposes an online cooperative cruise control method based on improved particle swarm optimization (IPSO) and deep feedforward neural network (DFNN), which enables each train to adaptively adjust the controller according to its own state information, ensuring speed synchronization and maintaining safe distance intervals between trains. Through the collection of information from the train's big data, the optimal time-varying cooperative control gain is fitted to achieve efficient, safe, and real-time control of multiple high-speed trains. © 2023 IEEE.

关键词： Real time control

来源：评论

学校读者我要写书评

暂无评论

NCA 2022 - 2022 IEEE 21st international symposium on Network computing and Applications

NCA 2022 - 2022 IEEE 21st International Symposium on Network...

引用

21st IEEE international symposium on Network computing and Applications, NCA 2022

ISBN: (纸本)9798350397307

The proceedings contain 38 papers. The topics discussed include: a zero trust approach for the cybersecurity of industrial control systems;ALDER: unlocking blockchain performance by multiplexing consensus protocols;bi-objective optimization of availability and cost for cloud services;Bluetooth peer-to-peer location certification with a gamified mobile application;byzantine fault-tolerant causal broadcast on incomplete graphs;detecting causality in the presence of byzantine processes: there is no holy grail;comparison of machine learning-based anomaly detectors for controller area network;data-driven method for in-band network telemetry monitoring of aggregated traffic;deep packet inspection at scale: search optimization through locality-sensitive hashing;deep reinforcement learning for downlink resource allocation in vehicular small cell networks;and causal ordering properties of byzantine reliable broadcast primitives.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic aggregation of subtask accesses for nested OpenMP-style tasks 34

Automatic aggregation of subtask accesses for nested OpenMP-...

引用

34th IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Shaaban, Omar Aguilar, Jimmy Beltran, Vicenc Carpenter, Paul Ayguade, Eduard Labarta Mancho, Jesus Barcelona Supercomp Ctr Barcelona Spain

ISBN: (数字)9781665451550

ISBN: (纸本)9781665451550

Task-based programming is a high performance and productive model to express parallelism. Tasks encapsulate work to be executed across multiple cores or offloaded to GPUs, FPGAs, other accelerators or other nodes. In order to maintain parallelism and afford maximum freedom to the scheduler, the task dependency graph should be created in parallel and well in advance of task execution. A key limitation with OpenMP and OmpSs-2 tasking is that a task cannot be created until all its accesses and its descendents' accesses are known. Current approaches to work around this limitation either stop task creation and execution using a taskwait or they substitute "fake" accesses known as sentinels. This paper proposes the auto clause, which indicates that the task may create subtasks that access unspecified memory regions or it may allocate and return memory at addresses that are of course not yet known. Unlike approaches using taskwaits, there is no interruption to the concurrent creation and execution of tasks, maintaining parallelism and the scheduler's ability to optimize load balance and data locality. Unlike existing approaches using sentinels, all tasks can be given a precise specification of their own data accesses, so that a single mechanism is used to control task ordering, program data transfers on distributed memory and optimize data locality, e.g. on NUMA systems. The auto clause also provides an incremental path to develop programs with nested tasks, by removing the need for every parent task to have a complete specification of the accesses of its descendent tasks. This is redundant information that can be time consuming and error-prone to describe. We present a straightforward runtime implementation that achieves a 1.4 times speedup for n-body with OmpSs-2@Cluster task offloading to 32 nodes and <4% slowdown for three benchmarks with task offloading to 8 nodes. All code is open source.

关键词： HPC Runtime Systems OpenMP OmpSs-2 Task Parallelism Distributed computing

来源：评论

学校读者我要写书评

暂无评论

BAFD: A Bidirectional Adaptive Fault Diagnosis Algorithm For Multiprocessor Systems 21

BAFD: A Bidirectional Adaptive Fault Diagnosis Algorithm For...

引用

作者： Feng, Hao Chen, Lin Wu, Jiong Hainan University School of Computer Science and Technology Haikou570100 China

ISBN: (纸本)9798350329223

>A multiprocessor system is a computer system with multiple processors that are connected to solve specific problems. However, processor failures are inevitable in multiprocessor systems, which seriously affect the reliability and security of the systems. To maintain the reliability, fault tolerance and security of the system, we need to replace the faulty processors with fault-free processors. Therefore, the technology of quickly detecting faulty processor nodes is crucial for the design of multiprocessor systems. In this paper, we first introduce a novel cycle partitioning strategy based on bidirectional diagnosis results for PMC model, and then determine the fault bound T of a system with N processors. Secondly, we design an adaptive fault diagnosis algorithm based on this partitioning strategy, which requires at most 2 N+2 (T-1) tests to locate all fault nodes. In the experiment, the algorithm accurately detects all faulty processors with a random distribution, and it accomplishes fault diagnosis tasks with high efficiency even if the number of faulty processors exceeds the fault bound T. Compared to similar algorithms, HTAD, this algorithm exhibits better performance. © 2023 IEEE.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

Ultra-Low Latency and Extreme-Throughput Echo state Neural Networks on FPGA 21st

Ultra-Low Latency and Extreme-Throughput Echo State Neural ...

引用

21st international symposium on Applied Reconfigurable computing, ARC 2025

作者： Jafari, Atousa Platzner, Marco Computer Science Department Paderborn University Paderborn Germany

ISBN: (纸本)9783031879944

Echo state networks, as a popular form of reservoir computing models, are recurrent neural networks that consist of three layers, and only the output layer needs to be trained. Compared to other recurrent neural network models, echo state networks offer comparable performance for many tasks but lead to reduced computational requirements, making them highly suitable for resource-constrained edge implementations. In this paper, we present and compare two streamlining dataflow accelerators for echo state networks on FPGA. Our accelerators rely on a direct logic implementation style with fully unrolled computations and are fully quantized to avoid floating-point calculations. After proposing a taxonomy of DNN implementation styles on FPGA, we present a tool flow to automatically create such FPGA accelerators for echo state networks. We then discuss two accelerator versions, one employing DSP blocks available in FPGAs and the other one converting multiplications into add/shift operations mapped solely to LUTs. We evaluate our accelerators on three time-series forecasting tasks and report the achieved accuracy as well as the resource requirements, the latency, the throughput, and the required energy. Our designs achieve extreme-throughput and ultra-low latency, reaching up to 100 Megasamples/s and 9.5 ns, respectively, which significantly outperforms related FPGA-based implementations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

An Efficient Decentralized Mutual Authentication Scheme Between Avatars for Metaverse 21

An Efficient Decentralized Mutual Authentication Scheme Betw...

引用

作者： Huang, Peng Xu, Zisang Liang, Wei Xu, Jianbo Zheng, Bin Changsha University of Science and Technology School of Computer and Communication Engineering Changsha China Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China

ISBN: (纸本)9798350329223

With the development of network technology and the blockchain, the metaverse as an emerging network paradigm has received extensive attention. In metaverse, users can create multiple virtual avatars to obtain different experiences such as extreme sports, interstellar travel, etc. Different from the traditional network model, there are frequent interactions between avatars in metaverse, leading to heavy authentication requirements. However, existing authentication schemes between different avatars mostly require real-time participation of third-party entity (TPE) such as trusted authority (TA) and server. Therefore, when facing high-concurrency authentication requirements between avatars in metaverse, existing schemes are prone to forming computational or communication bottlenecks at TPE, resulting in low authentication efficiency. To address this issue, the paper proposed an elliptic curve cryptography (ECC)-based mutual authentication scheme for avatars in metaverse without real-time participation of TPE, which can effectively avoid computational and communication bottlenecks formed at TPE and improve authentication efficiency. The security of our proposed scheme is proved under the real-or-random (ROR) model and informal security analysis. performance analysis and evaluation show that compared with current existing schemes, the proposed scheme has higher authentication efficiency. © 2023 IEEE.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

A Novel Method to Predict Chronic Kidney Disease using Optimized Deep Learning Algorithm 21

A Novel Method to Predict Chronic Kidney Disease using Optim...

引用

21st international Learning and Technology Conference, L and T 2024

作者： Preethi, I. Dharmarajan, K. Sharma, Bhisham Chowdhury, Subrata Dhaou, Imed Ben Vistas School of Computing Sciences Chennai India Vistas Department of Information Technology Chennai India Chitkara University Institute of Engineering and Technology Chitkara University Department of Computer Science and Engineering Punjab India Sreenivasa Institute of Technology and Management Studies Department of Computer Science and Engineering Andhra Pradesh Chittoor India Dar Al-Hekma University Hekma School of Engineering Computing Design Department of Computer Science Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

Chronic Kidney Disease (CKD), a significant global health issue and has a major impact on a vast number of people. In the early stages, it is impossible to identify the disease's symptoms. Very few people are aware of this illness and are able to foresee the symptoms earlier. The disorder is considered as potential risk factor. As a result, a potent deep learning framework is used in this paper to reduce the risk of acquiring these diseases as a way to prevent them. The machine learning algorithms used in early disease prediction, has been found to be computationally expensive, frequently overfit, and underperform in terms of accuracy since they must examine the large amount of clinical data until the model converges. Therefore, in this paper three novel work has been proposed an efficient novel hybrid feature selection strategy RFITLO algorithm is used to find the optimal features that gives the major contribution is classifying the CKD disease. Then two proposed classification algorithms namely Enhanced Multi-Layer Perceptron (HW-MLP) and Optimized Multi-Layer Perceptron (PKD-OMLP) are used in prediction model to capture the complex patterns and optimize the learning algorithm to predict the CKD at prior stage from the data gathered in Kaggle, Real Time and UCI Machine Learning Repository Dataset. In order to measure the classifications of disease, performance measures including accuracy, precision and recall are analyzed. The experimental findings show that the PKD-OMLP strategy produces better results than the proposed HW-MLP and other conventional approaches like Support Vector Machine (SVM), Linear Regression (LR) and Multi-Layer Perceptron (MLP). Among the preceding four models PKD-OMLP renders the best outcome as per its performance level producing a high accuracy of 94.89% on testing Real Time (RT) CKD dataset comparatively with other datasets such as Kaggle and UCI repository. Therefore, these proposed algorithms can support clinicians to enable secured an

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Virtual Reality-Based Interventions for Improving Learning Outcomes in Children with ADHD 19

Virtual Reality-Based Interventions for Improving Learning O...

引用

19th international Conference on Future Networks and Communications, FNC 2024 / 21st international Conference on Mobile Systems and Pervasive computing, MobiSPC 2024 / 14th international Conference on Sustainable Energy Information Technology, SEIT 2024

作者： Alobidi, Noof Alnanih, Reem Bakhsh, Helen Department of Computer Science Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia

The utilization of virtual reality (VR) has been increasingly applied in various fields, including medicine and education, to address the challenges faced by children with attention deficit hyperactivity disorder (ADHD) and provide solutions. This study investigates the impact of VR intervention on the academic performance of ADHD children. The researchers implemented a modified VR game specifically designed to accommodate the unique challenges and preferences of ADHD children. In evaluating the academic performance of ADHD children, a pre-test and post-test were performed on both the VR intervention group and the control group. The pre-test aimed to determine baseline academic performance, while the post-test assessed any improvements following the intervention. The study included a total of 20 participants, with 10 assigned to the VR intervention group and 10 to the control group. Moreover, the researchers recorded the behavior of the child during VR gameplay and performed post-gameplay interviews to assess the user experience of the VR environment. Quantitative analysis, including ANCOVA, reveals a statistically significant improvement in post-test scores among participants in the VR intervention group compared to the control group, suggesting the effectiveness of VR in improving learning outcomes. The results indicate high levels of enjoyment and engagement among participants, with positive emotional responses. Overall, the study underscores the potential of VR interventions as effective tools for addressing the educational needs of children with ADHD. © 2024 The Authors. Published by Elsevier B.V.

关键词： Virtual environments

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177页 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：