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

316 篇 会议
128 篇 期刊文献
2 册 图书

馆藏范围

446 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

264 篇 工学
- 199 篇 计算机科学与技术...
- 151 篇 软件工程
- 48 篇 信息与通信工程
- 37 篇 控制科学与工程
- 24 篇 生物工程
- 23 篇 电子科学与技术（可...
- 19 篇 机械工程
- 18 篇 电气工程
- 10 篇 动力工程及工程热...
- 9 篇 力学（可授工学、理...
- 8 篇 仪器科学与技术
- 7 篇 农业工程
- 6 篇 土木工程
- 6 篇 网络空间安全
- 5 篇 建筑学
- 5 篇 化学工程与技术
- 5 篇 交通运输工程
- 5 篇 核科学与技术
116 篇 理学
- 70 篇 数学
- 27 篇 物理学
- 25 篇 生物学
- 19 篇 系统科学
- 12 篇 统计学（可授理学、...
- 5 篇 化学
62 篇 管理学
- 41 篇 管理科学与工程(可...
- 23 篇 图书情报与档案管...
- 10 篇 工商管理
9 篇 法学
- 8 篇 社会学
8 篇 农学
- 8 篇 作物学
5 篇 经济学
- 5 篇 应用经济学
5 篇 医学
2 篇 文学
2 篇 军事学
2 篇 艺术学
1 篇 教育学

主题

18 篇 computational mo...
15 篇 deep learning
15 篇 algorithm design...
15 篇 training
14 篇 benchmark testin...
14 篇 cloud computing
13 篇 computer archite...
12 篇 feature extracti...
11 篇 scalability
11 篇 laboratories
11 篇 servers
10 篇 throughput
10 篇 clustering algor...
9 篇 parallel process...
9 篇 concurrent compu...
9 篇 costs
9 篇 distributed proc...
9 篇 kernel
9 篇 hardware
9 篇 distributed data...

机构

134 篇 science and tech...
52 篇 college of compu...
23 篇 national laborat...
22 篇 science and tech...
16 篇 science and tech...
14 篇 school of comput...
14 篇 national laborat...
12 篇 national key lab...
10 篇 laboratory of di...
9 篇 national laborat...
8 篇 school of comput...
8 篇 national key lab...
7 篇 national univers...
7 篇 department of co...
7 篇 national laborat...
7 篇 college of compu...
7 篇 laboratory of so...
7 篇 college of scien...
6 篇 national laborat...
6 篇 college of compu...

作者

35 篇 liu jie
32 篇 jie liu
19 篇 yijie wang
15 篇 zhigang luo
15 篇 wang yijie
15 篇 peng yuxing
14 篇 qinglin wang
13 篇 naiyang guan
13 篇 zuocheng xing
12 篇 wang huaimin
11 篇 chen xinhai
11 篇 chunye gong
11 篇 kai lu
10 篇 yuxing peng
10 篇 dou yong
10 篇 huaimin wang
10 篇 wang qinglin
9 篇 xiaodong wang
9 篇 li dongsheng
9 篇 xuhui huang

语言

420 篇 英文
25 篇 中文
1 篇 其他

检索条件"机构=Science and Technology on Parallel and Distribution Processing Laboratory"

共 446 条记录，以下是251-260 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：

Notice of Retraction: parallel block multigrid preconditioner for 3D Navier-Stokes equations on unstructured grids

Notice of Retraction: Parallel block multigrid preconditione...

引用

International Conference on Computer Application and System Modeling (ICCASM)

作者： Zongzhe Li Lu Yao Wei Cao Yongxian Wang Zhenghua Wang School of Computer Science Parallel and Distributed Processing for National Laboratory National University of Defense Technology Changsha Hunan China

This article has been retracted by the publisher.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Discrete Data Dividing Approach for Erasure-Code-Based Storage Applications

A Discrete Data Dividing Approach for Erasure-Code-Based Sto...

引用

2014 IEEE 8th International Symposium on Service Oriented System Engineering

作者： Weidong Sun Yijie Wang Yongquan Fu Xiaoqiang Pei Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan P. R. China

Erasure codes are promising for improving the reliability of the storage system due to its space efficiency compared to the replication methods. Traditional erasure codes split data into equalsized data blocks and encode strips in different data blocks. This brings heavy repairing traffic when clients read parts of the data, since most strips read for repairing are not in the expected blocks. This paper proposes a novel discrete data dividing method to completely avoid this problem. The key idea is to encode strips from the same data block. We could see that for repairing failed blocks, the strips to be read are either in the same data block with corrupted strips or from the encoded strips. Therefore, no data is wasted. We design and implement this data layout into a HDFS-like storage system. Experiments over a small-scale testbed shows that the proposed discrete data divided method avoids downloading data blocks that are not needed for clients during the repairing operations.

关键词： Strips Decoding Encoding Distributed databases Writing Reliability Magnetic heads

来源：评论

学校读者我要写书评

暂无评论

Research of Context Situation Awareness technology

Research of Context Situation Awareness Technology

引用

IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW)

作者： Dianxi Shi Zhendong Wu Bo Ding Huining Yan National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China

Context situation, which means a snapshot of the status of the real world, is formed by integrating a large amount of contexts collected from various resources. How to get the context situation and use the situation to provide better services is a challenging issue. In this paper, we focused on this challenge on the basis of the mobile cloud computing architecture. An abstract model is proposed in this paper to uniformly collect the context and send them to cloud. A rule-based large-scale context aggregation algorithm is also proposed which utilizes the MapReduce computing paradigm. Finally, a large-scale context management framework based on the abstract model and the context aggregation algorithm is proposed, and a real-time traffic demo is implemented to verify the validity of the framework.

关键词： Context Mobile handsets Real time systems Sensors Servers Mobile communication Context modeling

来源：评论

学校读者我要写书评

暂无评论

High-performance Audio Matching with Features Learned by Convolutional Deep Belief Network

High-performance Audio Matching with Features Learned by Con...

引用

2016 IEEE 13th International Conference on Signal processing（ICSP2016）

作者： Weijiang Feng Naiyang Guan Zhigang Luo Institute of Software College of Computer National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology

Audio matching automatically retrieves all excerpts that have the same content as the query audio clip from given audio recordings. The extracted feature is critical for audio matching and the Chroma Energy Normalized Statistics(CENS) feature is the state-of-the-arts. However, CENS might behave unsatisfactorily on some audio because it is a handcraft feature. In this paper, we propose to utilize the features learned by Convolutional Deep Belief Network(CDBN) to enhance the performance of audio matching. Benefit from the strong generalization ability of CDBN, our method works better than CENS based methods on most audio datasets. Since the features learned by CDBN are binary-valued, we can develop a more efficient audio matching algorithm by taking the advantage of this property. Experimental results on both TIMIT dataset and a simulated music dataset confirm effectiveness of the proposed CDBN based method comparing with the traditional CENS feature based algorithm.

关键词： audio matching convolutional deep belief network content-based audio retrieval

来源：评论

学校读者我要写书评

暂无评论

App-Net: A Hybrid Neural Network for Encrypted Mobile Traffic Classification

App-Net: A Hybrid Neural Network for Encrypted Mobile Traffi...

引用

IEEE Conference on Computer Communications Workshops, INFOCOM Wksps

作者： Xin Wang Shuhui Chen Jinshu Su College of Computer Science and Technology National University of Defense Technology National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (数字)9781728186955

ISBN: (纸本)9781728186962

With the exponential growth of mobile traffic data, mobile traffic classification is in a great need. It is an essential step to improve the performance of network services such as QoS and security monitoring. However, the widespread use of encrypted protocols, especially the TLS protocol, has posed great challenges to traditional traffic classification techniques. As the rule-based deep packet inspection approaches are ineffective for encrypted traffic classification, various machine learning methods have been studied and used. Recently, deep learning solutions which enable automatic feature extraction are also proposed to classify encrypted traffic. In this paper we propose App-Net, an end-to-end hybrid neural network, to learn effective features from raw TLS flows for mobile app identification. App-Net is designed by combining RNN and CNN in a parallel way. So that it can learn a joint flow-app embedding to characterize both flow sequence patterns and unique app signatures. We evaluate App-Net on a real-world dataset that covering 80 apps. The results show that our method can achieve an excellent performance and outperform the state-of-the-art methods.

关键词： Cryptography Feature extraction Payloads Recurrent neural networks Machine learning Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Flexible Virtual Channel Power-Gating for High-Throughput and Low-Power Network-on-Chip

Flexible Virtual Channel Power-Gating for High-Throughput an...

引用

Euromicro Symposium on Digital System Design

作者： Feng Wang Xiantuo Tang Qinglin Wang Zuocheng Xing Hengzhu Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan P. R. China

Power-gating is a representative circuit level technique to mitigate leakage power. While in low-power Network-on-Chip (NoC) design, the former fine-grained power-gating methods will decrease network performance due to serial wake-up latency and head-of-line blocking. Therefore, we propose a flexible Virtual Channel (VC) management scheme for fine-grained power-gating to achieve high throughput and low-power. The proposed power-gating method with the early wake-up is evaluated by using some synthetic workloads. When compared with an optimized early wake-up power-gating technique, it can improve performance effectively in medium and high network loads, and increases the network throughput by 15.7%~44.1% for different synthetic loads, while keeps network power consumption as low as the optimized method. For the PARSEC application traces of token based protocol, it can significantly decrease packet latency by 20.3% on average, however only increases less than 3.6% peak power when compared with the optimized method.

关键词： Throughput Radiation detectors Routing Process control Pipelines Power demand Ports (Computers)

来源：评论

学校读者我要写书评

暂无评论

A Semantic-based Meteorology Grid Service Registry, Discovery and Composition Framework

A Semantic-based Meteorology Grid Service Registry, Discover...

引用

International Conference on Semantics, Knowledge and Grid (SKG)

作者： Kaijun Ren Kaijun Ren Nong Xiao Nong Xiao Junqiang Song Junqiang Song Weimin Zhang Weimin Zhang Tao Chen Tao Chen National Laboratory for Parallel and Distributed Processingm College of Science National University of Defense Technology Changsha Hunan China National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China

Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Hard Contrastive Learning for Video Captioning

Hard Contrastive Learning for Video Captioning

引用

IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Lilei Wu Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Laboratory of Software Engineering for Complex Systems National University of Defense Technology Changsha China

ISBN: (纸本)9781665487900

Maximum likelihood estimation has been widely adopted along with the encoder-decoder framework for video captioning. However, it ignores the structure of sentences and restrains the diversity and distinction of generated captions. To address this issue, we propose a hard contrastive learning (HCL) method for video captioning. Specifically, built on the encoder-decoder framework, we introduce mismatched pairs to learn a reference distribution of video descriptions. The target model on the matched pairs is learned on top the reference model, which improves the distinctiveness of generated captions. In addition, we further boost the distinctiveness of the captions by developing a hard mining technique to select the hardest mismatched pairs within the contrastive learning framework. Finally, the relationships among multiple relevant captions for each video is consider to encourage the diversity of generated captions. The proposed method generates high quality captions which effectively capture the specialties in individual videos. Extensive experiments on two benchmark datasets, i.e., MSVD and MSR-VTT, show that our approach outperforms state-of-the-art methods.

关键词： Maximum likelihood estimation Visualization Video description Benchmark testing

来源：评论

学校读者我要写书评

暂无评论

OpenMP-Based Monte Carlo Dose Calculation for Radiotherapy Treatment Planning on the Intel MIC Architecture

OpenMP-Based Monte Carlo Dose Calculation for Radiotherapy T...

引用

IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Qinglin Wang Jie Liu Peizhen Xie Chunye Gong Yuan Li Zuocheng Xing School of Computer Science National University of Defense Technology Changsha China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China

Monte Carlo (MC) simulation plays an important part in dose calculation for radiotherapy treatment planning. Since the accuracy of MC simulation relies on the number of simulated particles histories, it's very time-consuming. The Intel Many Integrated Core (MIC) architecture, which consists of more than 50 cores and supports many parallel programming models, provides an efficient alternative for accelerating MC dose calculation. This paper implements the OpenMP-based MC Dose Planning Method (DPM) for radiotherapy treatment problems on the Intel MIC architecture. The implementation has been verified on the target MIC coprocessor including 57 cores. The results demonstrate that the OpenMP-based DPM implementation exhibits very accurate results and achieves the maximum speedup of 10.53 times in comparison to the original DPM one on a Xeon E5-2670 CPU. Additionally, speedup and efficiency of the implementation running on the different number of cores in MIC are also reported.

关键词： Microwave integrated circuits Instruction sets Computer architecture Photonics Computational modeling History Interpolation

来源：评论

学校读者我要写书评

暂无评论

Optimizing One by One Direct Convolution on ARMv8 Multi-core CPUs

Optimizing One by One Direct Convolution on ARMv8 Multi-core...

引用

IEEE International Conference on Joint Cloud Computing (JCC)

作者： Qinglin Wang Dongsheng Li Songzhu Mei Siqi Shen Xiandong Huang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China School of Computer Science National University of Defense Technology Changsha China

ISBN: (数字)9781728169811

ISBN: (纸本)9781728169828

Convolutional layers are ubiquitous in a variety of deep neural networks. Due to the lower computation complexity and the smaller number of parameters, convolutions with small filter sizes are often used, such as one by one convolution. Nevertheless, these small convolution operations are still time-consuming. A common approach to implementing convolutions is to transform them into matrix multiplications, known as GEMM-based convolutions. The approach maybe incurs additional memory overhead and calls matrix multiplication routines, which are not optimized for matrices generated by convolutions. In this paper, we present a new parallel one by one direct convolution implementation on ARMv8 multi-core CPUs, which doesn't incur any additional memory space requirement. Our implementation is verified on two ARMv8 CPUs, Phytium FT-1500A and FT-2000plus. In terms of performance and scalability, our implementation is better than GEMM-based implementations in all the tests on Phytium FT-1500A. On Phytium FT-2000plus, our approach gives much better performance and scalability than GEMM-based approaches in most cases.

关键词： Convolution Registers Layout Neural networks parallel processing Computer architecture Tensile stress

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45页 << < 22 23 24 25 26 27 28 29 30 31 > >>

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：