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

33,159 篇 会议
831 篇 期刊文献
229 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

34,221 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

20,136 篇 工学
- 17,854 篇 计算机科学与技术...
- 7,807 篇 软件工程
- 4,543 篇 电气工程
- 2,839 篇 信息与通信工程
- 1,459 篇 控制科学与工程
- 745 篇 电子科学与技术（可...
- 685 篇 动力工程及工程热...
- 468 篇 机械工程
- 381 篇 生物工程
- 339 篇 石油与天然气工程
- 302 篇 仪器科学与技术
- 248 篇 生物医学工程（可授...
- 247 篇 环境科学与工程（可...
- 247 篇 网络空间安全
- 217 篇 力学（可授工学、理...
- 205 篇 建筑学
- 192 篇 材料科学与工程（可...
- 190 篇 安全科学与工程
- 185 篇 土木工程
4,376 篇 理学
- 2,838 篇 数学
- 884 篇 物理学
- 531 篇 系统科学
- 471 篇 生物学
- 424 篇 统计学（可授理学、...
- 229 篇 化学
3,202 篇 管理学
- 2,473 篇 管理科学与工程(可...
- 1,262 篇 工商管理
- 964 篇 图书情报与档案管...
287 篇 经济学
- 281 篇 应用经济学
287 篇 医学
- 217 篇 临床医学
191 篇 法学
98 篇 农学
97 篇 教育学
77 篇 文学
10 篇 艺术学
9 篇 军事学
1 篇 哲学

主题

4,289 篇 grid computing
4,219 篇 distributed comp...
2,063 篇 concurrent compu...
2,043 篇 cloud computing
2,017 篇 parallel process...
1,844 篇 computational mo...
1,619 篇 computer archite...
1,403 篇 computer science
1,362 篇 application soft...
1,288 篇 resource managem...
1,257 篇 computer network...
988 篇 processor schedu...
782 篇 scalability
777 篇 distributed comp...
765 篇 high performance...
760 篇 peer to peer com...
682 篇 costs
670 篇 distributed data...
666 篇 algorithm design...
651 篇 middleware

机构

52 篇 department of co...
47 篇 school of comput...
46 篇 institute of com...
45 篇 college of compu...
39 篇 huazhong univ sc...
34 篇 china electric p...
34 篇 shanghai jiao to...
33 篇 school of comput...
32 篇 school of comput...
31 篇 univ chinese aca...
31 篇 department of co...
27 篇 inria
27 篇 tsinghua univ de...
27 篇 university of ch...
25 篇 shandong provinc...
24 篇 tsinghua univers...
23 篇 huazhong univers...
23 篇 institute of par...
23 篇 nanjing univ sta...
23 篇 college of intel...

作者

69 篇 jin hai
51 篇 hai jin
49 篇 rajkumar buyya
39 篇 fahringer thomas
37 篇 zomaya albert y.
33 篇 liu yang
31 篇 li dongsheng
29 篇 dongsheng li
29 篇 m. takizawa
27 篇 duerr frank
26 篇 li li
25 篇 xhafa fatos
23 篇 wei li
22 篇 wang lei
22 篇 yang yang
20 篇 lei wang
20 篇 xuejun yang
19 篇 dongarra jack
18 篇 singh bhim
18 篇 bala piotr

语言

33,791 篇 英文
251 篇 其他
143 篇 中文
43 篇 俄文
2 篇 乌克兰文
1 篇 德文
1 篇 西班牙文
1 篇 法文
1 篇 葡萄牙文
1 篇 土耳其文

检索条件"任意字段=International Conference on Parallel Distributed and Grid Computing"

共 34221 条记录，以下是4751-4760 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：

distributed Unsupervised Learning-Based Task Offloading for Mobile Edge computing Systems 15th

Distributed Unsupervised Learning-Based Task Offloading for ...

引用

15th EAI international conference on Communications and Networking, ChinaCom 2020

作者： Wei, Jianming Liu, Qiuming Liu, Shumin Zeng, Yiping Xiong, Xin Department of Software Engineering Jiangxi University of Science and Technology Nanchang China

ISBN: (纸本)9783030677190

Mobile edge computing has emerged as a new paradigm to enhance computing capabilities by offloading complicated tasks to nearby cloud server. To conserve energy as well as maintain quality of service, algorithms with low time complexity for task offloading is required. In this paper, a multi-user with multiple tasks scenario is considered, taking full account of factors including data size, bandwidth, channel state information, we propose a distributed unsupervised learning-based offloading algorithm for task offloading, where distributed parallel networks are employed to guarantee the robustness of algorithm. Additionally, we exploit a memory pool to store input data and corresponding decisions as key-value pairs. Based on the experience mechanism, the proposed algorithm can omit the step of data calibration compared with supervised learning method. To further reduce the communication cost, we analyze four bandwidth allocation schemes. Results reveal that the channel state-based strategy cost 3% less than data size-based, mixed and user size-based. Besides, the proposed algorithm can save 14, 18% cost than local and edge schemes respectively. Numerous results show that the proposed algorithm can achieve near-optimal decisions timely as well as having high reliability. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Improved parallel ZF-VBLAST Detector for MIMO System 4

Improved Parallel ZF-VBLAST Detector for MIMO System

引用

4th international conference on Communications, Signal Processing, and their Applications, ICCSPA 2020

作者： Alfawaz, Oruba Eddin, Maha Alaa Alnajjar, Khawla A. El-Moursy, Ali A. University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates University of Sharjah Department of Computer Engineering Sharjah United Arab Emirates

ISBN: (纸本)9781728165356

The rapid growth of data traffic in the last decade is expected to continue in the next generation (5G) system. In order to service the high demand of data rates in 5G, complex communication architectures are needed such as multiple input multiple output (MIMO) technology. The main idea of MIMO is to increase the number of antennas in both sides (transmitter Tx and receiver Rx) that can achieve high throughput and energy efficiency. Receivers complexity and speed are some of the important requirements in MIMO systems. We focus on Vertical Bell Laboratories Layered Space Time (VBLAST) receiver. Using large number of antennas with VBLAST technique can increase the complexity of the system and the required time to recover the original signal. However, parallel computing can be used to divide the tasks of complex algorithm and distribute them among different microprocessors to run in an acceptable execution time. In this paper, we perform deep performance and time analysis to decide the opportunities of parallelization. We achieved speed up of 11.4X in the computation time of ZF-VBLAST algorithm for different sizes of MIMO systems using multi-threaded implementation. © 2021 IEEE.

关键词： MIMO systems

来源：评论

学校读者我要写书评

暂无评论

parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization 27

Parallel Hierarchical Clustering using Rank-Two Nonnegative ...

引用

27th IEEE international conference on High Performance computing, Data, and Analytics (HiPC)

作者： Manning, Lawton Ballard, Grey Kannan, Ramakrishnan Park, Haesun Wake Forest Univ Winston Salem NC 27101 USA Oak Ridge Natl Lab Oak Ridge TN USA Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9781665422925

Nonnegative Matrix Factorization (NMF) is an effective tool for clustering nonnegative data, either for computing a flat partitioning of a dataset or for determining a hierarchy of similarity. In this paper, we propose a parallel algorithm for hierarchical clustering that uses a divide-and-conquer approach based on rank-two NMF to split a data set into two cohesive parts. Not only does this approach uncover more structure in the data than a flat NMF clustering, but also rank-two NMF can be computed more quickly than for general ranks, providing comparable overall time to solution. Our data distribution and parallelization strategies are designed to maintain computational load balance throughout the data-dependent hierarchy of computation while limiting interprocess communication, allowing the algorithm to scale to large dense and sparse data sets. We demonstrate the scalability of our parallel algorithm in terms of data size (up to 800 GB) and number of processors (up to 80 nodes of the Summit supercomputer), applying the hierarchical clustering approach to hyperspectral imaging and image classification data. Our algorithm for Rank-2 NMF scales perfectly on up to 1000s of cores and the entire hierarchical clustering method achieves 5.9x speedup scaling from 10 to 80 nodes on the 800 GB dataset.

关键词： low-rank approximation distributed-memory parallel algorithms scalable clustering

来源：评论

学校读者我要写书评

暂无评论

Logit Calibration for Non-IID and Long-Tailed Data in Federated Learning

Logit Calibration for Non-IID and Long-Tailed Data in Federa...

引用

IEEE international conference on Big Data and Cloud computing (BdCloud)

作者： Huan Wang Lijuan Wang Jun Shen School of Cyber Engineering Xidian University Xi'an China School of Computing & Information Technology University of Wollongong Wollongong Australia

Federated learning (FL) strives to enable collaborative training of deep models on the distributed clients of different data without centrally aggregating raw data and hence improving data privacy. Nevertheless, a central challenge in training classification models in the federated system is learning with non-IID data. Most of the existing work is dedicated to eliminating the heterogeneous influence of non-IID data in a federated system. However, in many real-world FL applications, the co-occurrence of data heterogeneity and long-tailed distribution is unavoidable. The universal class distribution is long-tailed, causing them to become easily biased towards head classes, which severely harms the global model performance. In this work, we also discovered an intriguing fact that the classifier logit vector (i.e., pre-softmax output) introduces a heterogeneity drift during the learning process of local training and global optimization, which harms the convergence as well as model performance. Therefore, motivated by the above finding, we propose a novel logit calibration FL method to solve the joint problem of non-IID and long-tailed data in federated learning, called Federated Learning with Logit Calibration (FedLC). First, we presented a method to mitigate the local update drift by calculating the Wasserstein distance among adjacent client logits and then aggregating similar clients to regulate local training. Second, based on the model ensemble, a new distillation method with logit calibration and class weighting was proposed by exploiting the diversity of local models trained on heterogeneous data, which effectively alleviates the global drift problem under long-tailed distribution. Finally, we evaluated FedLC using a highly non-IID and long-tailed experimental setting, comprehensive experiments on several benchmark datasets demonstrated that FedLC achieved superior performance compared with state-of-the-art FL methods, which fully illustrated the effectiveness of

关键词： Training Data privacy Federated learning distributed databases Collaboration Data models Calibration

来源：评论

学校读者我要写书评

暂无评论

Data-Centric distributed computing on Networks of Mobile Devices 26th

Data-Centric Distributed Computing on Networks of Mobile Dev...

引用

26th international conference on parallel and distributed computing (Euro-Par)

作者： Sanches, Pedro Silva, Joao A. Teofilo, Antonio Paulino, Herve Univ NOVA Lisboa Fac Ciencias & Tecnol NOVA Lab Comp Sci & Informat Dept Informat Caparica Portugal Inst Politecn Lisboa ISEL ADEETC Lisbon Portugal

ISBN: (纸本)9783030576752;9783030576745

In the last few years, we have seen a significant increase both in the number and capabilities of mobile devices, as well as in the number of applications that need more and more computing and storage resources. Currently, in order to deal with this growing need for resources, applications make use of cloud services. This raises some problems, namely high latency, considerable use of energy and bandwidth, and the unavailability of connectivity infrastructures. Given this context, for some applications it makes sense to do part, or all, of the computations locally on the mobile devices themselves. In this paper we present OREGANO, a framework for distributed computing on mobile devices, capable of processing batches or streams of data generated on mobile device networks, without requiring centralized services. Contrary to current state-of-the-art, where computations and data are sent to worker mobile devices, OREGANO performs computations where the data is located, significantly reducing the amount of exchanged data.

关键词： Mobile devices distributed computing Edge computing

来源：评论

学校读者我要写书评

暂无评论

System-level Implications of Serverless: Workload Characterizing and Performance Understanding

System-level Implications of Serverless: Workload Characteri...

引用

IEEE international conference on Big Data and Cloud computing (BdCloud)

作者： Deshi Deng Yanying Lin Kejiang Ye Shenzhen Institute of Advanced Technology Chinese Academy of Sciences University of Chinese Academy of Sciences

Serverless is a new online services paradigm of cloud computing for running extremely resilient and short-lived applications. Reducing the cost of running services is a critical goal of Serverless computing. However, most of the current state-of-the-art works optimize the Serverless performance via mitigating the cold-start overheads, the system-level resource overheads of typical real-world Serverless workloads is not fully explored. In this paper, we study the Serverless performance and overheads from the perspective of system-level resource analysis. We firstly present a Kmeans-based method to categorize Microsoft Azure workloads into four typical workloads and then introduce a Bayesian-based approach to fit these workloads into four time-series models respectively for online workload predicting. To investigate the system-level resource overheads, we replay the Azure workloads with the time series models in a Kubernetes cluster with 20 servers and profile application performance and system-level metrics. We highlight two observations via workload modeling and introduce three system-level implementations by analyzing the data profiled from the experiment cluster. In particular, we find that the task-balancing schedule could not guarantee fair resource usage among nodes, which leads to 3-4X resource utilization bias and interference among function instances.

关键词： Measurement Schedules Costs Time series analysis Stochastic processes Serverless computing Interference

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent Reinforcement Learning for Edge Resource Management with Reconstructed Environment

Multi-Agent Reinforcement Learning for Edge Resource Managem...

引用

IEEE international conference on Big Data and Cloud computing (BdCloud)

作者： WeiWei Miao Zeng Zeng Mingxuan Zhang Siping Quan Zhen Zhang Shihao Li Li Zhang Qi Sun Information and Telecommunication Branch State Grid Jiangsu Electric Power CO. LTD. Nanjing China State Grid Taizhou Power Supply Company Nanjing China

In edge computing it is pivotal to automatically manage the resources to increase efficiency with limited resources. Deep reinforcement learning, which aims to maximize the long term cumulative reward, has recently been adopted in such scenarios. However, training the policy in real-world edge computing environment is challenging since arbitrary exploration in real world could drastically impair user utilities. In this paper, we propose a novel imitation learning approach to construct a virtual environment, in which the policy can be trained freely without additional costs. Under the virtual environment, we use a multi-agent reinforcement learning to manage the edge resources. Our method adopts a decentralized, sequential approach to deal with the uncertainties in the environment. Specifically, we decompose the target reward function into separated global part and local parts, where the global part is shared by all agents for cooperation, and the local parts are owned by each individual edge to accelerate the model learning. Extensive experimental results demonstrate that the constructed environment is very close to the real environment. In addition, the proposed multi agent reinforcement learning algorithm can converge very fast in the training phase and outperforms other state-of-art methods significantly in a variety of scenarios.

关键词： Training Energy consumption Uncertainty Processor scheduling Virtual environments Reinforcement learning Trajectory

来源：评论

学校读者我要写书评

暂无评论

A PUF-based Lightweight Authenticated Metering Data Collection Scheme with Privacy Protection in Smart grid

A PUF-based Lightweight Authenticated Metering Data Collecti...

引用

IEEE international conference on Big Data and Cloud computing (BdCloud)

作者： Ya-Nan Cao Yujue Wang Yong Ding Haibin Zheng Zhenyu Guan Huiyong Wang Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin China Hangzhou Innovation Institute Beihang University Hangzhou China Cyberspace Security Research Center Pengcheng Laboratory Shenzhen China School of Cyber Science and Technology Beihang University Beijing China School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin China

The rapid development of information and communication technology has made great advancements to grid structure, but at the same time it has also brought new security and privacy challenges to smart grid. Metering data transmitted in insecure public networks are vulnerable to eavesdropping and tampering by other organizations or users. Also, smart meters exposed to the outside could be physically attacked. Many privacy-preserving authentication schemes in smart grid have been proposed in recent years. However, most of them cannot protect smart meters from physical attacks. In this paper, a new lightweight privacy-preserving authenticated data collection scheme (PAC) based on Physically Unclonable Functions (PUFs) is proposed. With the uniqueness property of PUFs, the proposed scheme can not only resist physical attacks, but also support key sharing and identity authentication. Security analysis shows that the proposed scheme can guarantee the privacy of users and resist traditional attacks such as man-in-the-middle attacks, replay attacks, impersonation attacks and physical attacks. Experimental performance indicates that the proposed scheme has high efficiency and low interaction.

关键词： Data privacy Authentication Resists Impersonation attacks Data collection Physical unclonable function Picture archiving and communication systems

来源：评论

学校读者我要写书评

暂无评论

A Droop-Based Frequency Controller for parallel Operation of VSCs and SG in Isolated Microgrids

A Droop-Based Frequency Controller for Parallel Operation of...

引用

international Middle-East Power System conference, MEPCON

作者： Wessam Arafa Hafez Karar Mahmoud Abdelfatah Ali Mostafa F. Shaaban Poria Hasanpor Divshali Matti Lehtonen Power and Electrical Machines Department Sohag University Sohag Egypt Electrical Engineering Department Aswan University Aswan Egypt Department of Electrical Engineering and Automation Aalto University Espoo Finland Department of Electrical Engineering South Valley University Qena Egypt Department of Electrical Engineering American University of Sharjah Sharjah UAE

ISBN: (纸本)9781665463645

Microgrids are a novel concept for modern power distribution networks that integrate renewable power sources and increase power control capabilities. This system's essential problem is controlling the frequency in island mode. Using the synchronous generator (SG) control approach, the microgrid frequency is more stable due to the inertial features of the SG. In this regard, this paper presents a control algorithm for voltage source converters (VSC)-based distributed generators (DGs), which emulates the principal behavior of synchronous machines and can support inertia to the grid and reduce frequency gradients considering the parallel operation of the SG. The controller is designed based on droop control theory, and a supervisory center controller is implemented to maintain system frequency close to a nominal value of the whole microgrid. The simulation results demonstrate that the system frequency is stabilized even in different and sudden load changes in the island mode where the microgrid is fed by multiple VSC units and a SG. The Simulink model of the system is designed using MATLAB Simulink Software.

关键词： Software packages Power system dynamics Microgrids Power system stability Frequency conversion Stability analysis Power conversion

来源：评论

学校读者我要写书评

暂无评论

Adjusting Control Method of AC Output Synchronization Based on Phase Lock Technology 5th

Adjusting Control Method of AC Output Synchronization Based ...

引用

5th international conference on Advanced Intelligent Systems and Informatics (AISI)

作者： Du, Rongyu Li, Wenrui Wang, Hongtu Xu, Jing Dong, Xiangluan Sun, Bo State Grid Liaoning Elect Power Supply Co Ltd State Grid Chaoyang Elect Power Supply Co Chaoyang Peoples R China Shenyang Inst Engn Grad Dept Shenyang Peoples R China

ISBN: (纸本)9783030311292;9783030311285

Uninterruptible Power Supply (UPS) can provide a stable, continuous and uninterrupted power supply and it has higher requirements for the power supply quality of UPS. In order to improve the reliability and engineering feasibility of uninterruptible power supply (UPS) redundant parallel operation system, a phase locking control method is proposed. This method adjusts the AC output by measuring the system frequency dynamics in real time to realize the seamless switching of the bypass input. There is no discontinuous process in this process, so as to provide stable, continuous and uninterrupted power.

关键词： Uninterruptible Power Supply Phase locking control Cycle synchronization

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500页 << < 472 473 474 475 476 477 478 479 480 481 > >>

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：