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

7,062 篇 会议
92 篇 期刊文献
52 册 图书

馆藏范围

7,206 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,971 篇 工学
- 3,416 篇 计算机科学与技术...
- 1,570 篇 信息与通信工程
- 1,428 篇 软件工程
- 1,054 篇 电气工程
- 242 篇 控制科学与工程
- 125 篇 电子科学与技术（可...
- 94 篇 网络空间安全
- 78 篇 动力工程及工程热...
- 74 篇 仪器科学与技术
- 64 篇 生物工程
- 54 篇 机械工程
- 38 篇 安全科学与工程
- 34 篇 建筑学
- 34 篇 土木工程
- 34 篇 交通运输工程
- 33 篇 测绘科学与技术
- 31 篇 生物医学工程（可授...
566 篇 管理学
- 418 篇 管理科学与工程(可...
- 187 篇 图书情报与档案管...
- 144 篇 工商管理
520 篇 理学
- 314 篇 数学
- 95 篇 物理学
- 74 篇 生物学
- 73 篇 系统科学
- 66 篇 统计学（可授理学、...
100 篇 法学
- 52 篇 社会学
- 49 篇 法学
63 篇 医学
- 37 篇 基础医学(可授医学...
- 31 篇 公共卫生与预防医...
42 篇 经济学
- 41 篇 应用经济学
26 篇 文学
25 篇 教育学
12 篇 农学
6 篇 军事学
2 篇 艺术学

主题

1,160 篇 distributed comp...
419 篇 software enginee...
362 篇 cloud computing
360 篇 artificial intel...
312 篇 computer archite...
303 篇 computer network...
284 篇 social networkin...
269 篇 protocols
247 篇 computer science
239 篇 computational mo...
221 篇 wireless sensor ...
215 篇 scalability
207 篇 resource managem...
205 篇 peer to peer com...
196 篇 routing
190 篇 bandwidth
190 篇 servers
188 篇 application soft...
187 篇 distributed data...
166 篇 grid computing

机构

110 篇 beijing univ pos...
90 篇 state key labora...
12 篇 department of co...
11 篇 college of compu...
10 篇 tsinghua univers...
10 篇 beijing universi...
10 篇 poznan supercomp...
10 篇 school of comput...
10 篇 department of co...
10 篇 beijing universi...
9 篇 inria
9 篇 research institu...
9 篇 school of comput...
9 篇 rissho universit...
9 篇 tsinghua univ pe...
9 篇 institute of net...
9 篇 school of cyber ...
9 篇 institute of com...
8 篇 georgia inst tec...
8 篇 department of co...

作者

25 篇 yang yang
16 篇 huang lican
16 篇 lican huang
14 篇 wehrle klaus
13 篇 gao zhipeng
12 篇 dustdar schahram
12 篇 buyya rajkumar
12 篇 rothermel kurt
11 篇 duerr frank
11 篇 wu jan-jan
11 篇 rajkumar buyya
11 篇 wang wei
11 篇 liu pangfeng
11 篇 teruhisa hochin
11 篇 qi qi
10 篇 ming chen
10 篇 hoefler torsten
10 篇 m. takizawa
10 篇 cheng shiduan
10 篇 schahram dustdar

语言

6,885 篇 英文
277 篇 其他
50 篇 中文

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

共 7206 条记录，以下是1991-2000 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：

LSOF: Novel Outlier Detection Approach Based on Local Structure

LSOF: Novel Outlier Detection Approach Based on Local Struct...

引用

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

作者： Renmin Wang Qingsheng Zhu College of Computer Science Chongqing University Chongqing China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

Many local outlier detection algorithms have been proposed inspired by the idea of local outlier factor (LOF). However, they often have low detection performance and are sensitive to neighborhood size because there is a major defect in their calculation formulas of outlier degree and the kNN (k-nearest neighbors) method is widely used to quantify a neighborhood of an instance. To address these issues, we define a novel nearest neighbors tree (NNT) to measure a neighborhood of an instance. Meanwhile, we propose a local structure outlier factor (LSOF), which score each local structure instead of each data point and report the top-scored local structures as anomalous local structures, where outliers and groups of outliers are easily divided according to characteristics of the NNT. Our experimental results demonstrate that the competitive behavior of our method on both synthetic and real-world datasets.

关键词： Anomaly detection Clustering algorithms Computer science distributed processing Big Data Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Effective Straggler Mitigation with Cross-Layer Interference-Aware Optimization

Effective Straggler Mitigation with Cross-Layer Interference...

引用

international conference on Parallel and distributed Systems (ICPADS)

作者： Laiping Zhao Yiming Li Francoise Fogelman-Soulié Tianjin Key Laboratory of Advanced Networking College of Intelligence and Computing Tianjin University China Tianjin University Tianjin China

ISBN: (纸本)9781728125848

In-memory data processing frameworks (e.g., Spark) make big data analysis greatly simpler and efficient. However, stragglers that take much longer to finish than other tasks significantly degrade performance. There exist multiple factors that cause stragglers, either from the hardware resource layer or application layer, e.g. hardware heterogeneity, interference, data locality and data skew. While state-of-the-art straggler mitigation techniques have presented partial solutions on data skew and data locality, we find that the other factors can also result in serious problems. We present Clio, a cross-layer interference-aware optimization system that can effectively mitigate stragglers for data processing frameworks. Clio supports the scheduling of both map and reduce tasks. It heuristically dispatches intermediate data in proportion to the actual computing ability of each worker node, which is estimated considering various straggler factors, to balance the completion times of tasks in a much finer way. We implement Clio in Apache Spark, and evaluate its performance using both synthetic and real datasets. Experiment results show that, Clio can speed up the execution of applications by up to 67%, compared with the existing algorithms.

关键词： Straggler mitigation Spark Scheduling Key partitioning locality data Religious Missions application layer Skew Automatic data processing data processing Frameworks

来源：评论

学校读者我要写书评

暂无评论

A Top-k Concast Service for Multiple Tiny Data Retrieval in NDN 1

A Top-k Concast Service for Multiple Tiny Data Retrieval in ...

引用

1st IEEE international conference on Hot Information-Centric networking (HotICN)

作者： Liao, Zhuhua Zhang, Jian Teng, Zengde Liu, Yizhi Yi, Aiping Hunan Univ Sci & Technol Coll Comp Sci & Engn Xiangtan Peoples R China Univ Hunan Prov Key Lab Knowledge Proc & Networked Mfg Xiangtan Peoples R China

ISBN: (纸本)9781538648704

Offering a paradigm for retrieving and aggregating multiple data from multiple sources is a crucial requirement in a large content-centric network. However, the major hindrances to this paradigm are network's dynamic feature, traffic balance, wired forwarding and the absence of cooperation between communications and computations. In this paper, we present a scalable and top-k Concast service on Named Data networking (NDN). The service enables cooperation between top-k tiny data discovering and aggregating among multiple routers and paths for a user's Interest that contained a hierarchical name and other constraints. Specifically, multiple types and strategies of tiny data aggregation for merging and processing the positive data and suppressing the negative, futile data, as well as a determination of response completeness are introduced for enhancing relevant results recall and sharing. The experimentation demonstrated the top-k Concast service can effectively improve the service quality, reduce network traffic and shorten response time.

关键词： distributed databases Time factors Data aggregation Semantics Peer-to-peer computing conferences Internet

来源：评论

学校读者我要写书评

暂无评论

dMDS: Uncover the Hidden Issues of Metadata Server Design 4th

dMDS: Uncover the Hidden Issues of Metadata Server Design

引用

4th international conference on Advanced computing, networking and Informatics (ICACNI)

作者： Patgiri, Ripon Dev, Dipayan Ahmed, Arif Natl Inst Technol Silchar Dept Comp Sci & Engn Room CS30 Silchar 788010 Assam India PromptCloud Technol Pvt Ltd Bengaluru Karnataka India Natl Inst Technol Silchar Silchar Assam India

ISBN: (纸本)9789811033735;9789811033728

The Big Data is a huge unmanageable set of data that call for store, process, and analyze these data. The Big Data is going colossal per day as well as metadata size. It is the time to bring in the distributed Metadata Server (dMDS) to appease the hunger of data scientist to conquer the dilemma of storing, processing, and analyzing the hysterical data. The dMDS makes stride to carry out the intricate research problems of the file system in Big Data to make impeccable technology. In this study, we investigate properly to get the bottom of the things of Metadata Server (MDS).

关键词： Metadata server Metadata management MDS Large-scale computing Big Data Clustered file system distributed file system

来源：评论

学校读者我要写书评

暂无评论

TOSS: Traffic-aware distributed object-based storage using software-defined networks

TOSS: Traffic-aware distributed object-based storage using s...

引用

2018 IEEE international conference on Service Operations and Logistics, and Informatics, SOLI 2018

作者： Kanagavelu, Renuga Yongqing, Zhu Aung, Khin Mi Mi Computing Science Department A STAR Institute of High Performance Computing Singapore Singapore

ISBN: (纸本)9781538645222

As storage systems grow to Petascale, the demand for object storage increases. In a large scale heterogeneous object storage systems, efficient selection of storage targets for placing objects is critically important since the performance depends on even distribution of objects across storage targets. An efficient storage target selection for object placement depends not only on available storage target capacity but also network bandwidth. The storage target selection based either only on the available storage capacity or only on the available network bandwidth may not result in the optimal usage of storage/network resources to achieve the performance. The object placement under heterogeneous environment considering load balancing is a challenging problem. There is a need to orchestrate the network and storage resources with efficient object to storage mapping. In this paper, we present an efficient and scalable object placement strategy using software-defined networking (SDN) technique. We demonstrate the effectiveness of our method through simulation results and compare with distributed Hash Table (DHT) method. © 2018 IEEE.

关键词： Software defined networking

来源：评论

学校读者我要写书评

暂无评论

Design and Analysis of distributed Arithmetic based FIR Filter

Design and Analysis of Distributed Arithmetic based FIR Filt...

引用

2018 IEEE international conference on Advances in computing, Communication Control and networking, ICACCCN 2018

作者： Akhter, Shamim Kumar, Satyendra Bareja, DIvya ECE Department Jaypee Institute of Information Technology Noida India Jaypee Institute of Information Technology Noida India

ISBN: (纸本)9781538641194

In designing digital filters, Multiply-Accumulate (MAC) unit is used. MAC comprises of multiplier, adder and an accumulator. Faster adder and multiplier circuits are required for high speed MAC unit. But MAC based structures have disadvantages like high power dissipation, slow processing etc. The multiplication operation where input data is to be multiplied with the fixed coefficients considerably took large place to store their temporary data. So, memory based multiplication technique substitute multipliers to reduce area and latency of system. distributed Arithmetic (DA) is one of the memory based technique. DA based technique substitute multipliers in FIR filters. In this paper, detailed analysis is presented for designing 16-Tap FIR filter using DA and Off-Set Binary Coding (OBC)-DA in VHDL. Synthesis is done using Xilinx ISE for Virtex-4 ML 402. Area, delay and power analysis is performed using Synopsys Design Compiler for 32/28 nm std-cell. © 2018 IEEE.

关键词： FIR filters

来源：评论

学校读者我要写书评

暂无评论

Load Analysis In SDN For distributed Topologies 2

Load Analysis In SDN For Distributed Topologies

引用

2nd IEEE international conference on Green computing and Internet of Things (ICGCIoT)

作者： Raj, Gaurav Sharma, Siddhant Choudhury, Tanupriya Amity Univ Noida Uttar Pradesh India UPES Dehra Dun India

ISBN: (纸本)9781538656570

The advent of internet has led to the formation of a totally digitized environment, where each and everything is constantly in connection & can be easily accessed from anywhere. Traditional IP networks are difficult to understand and manage. Configuring the networks as per the already defined policies & making changes to it to react to issues faced has become difficult. The vertical integration of current networks adds to the difficulties. Software-Defined Network (SDN) is a new paradigm that promises to change and solve the problem. SDN breaks network into traceable pieces, thus making it less demanding to make & present new changes in networking, making network management & network evolution simpler. In SDN, load balancing is a brilliant technology as it can save power & improve the utilization of resources. This research focuses on analyzing the load and data in SDN for various distributed network topologies. Various network emulator and packet tracker tools have been used in the paper for generating statics.

关键词： SDN Wireshark GNS3 OpenVSwiches

来源：评论

学校读者我要写书评

暂无评论

Dynamic Localization Algorithm for Wireless Sensor Networks

Dynamic Localization Algorithm for Wireless Sensor Networks

引用

international conference on Advanced computing and Intelligent Engineering (ICACIE)

作者： Choksi, Meghavi Pandey, Saurabh K. Zaveri, Mukesh A. Garg, Sanjay Nirma Univ Comp Sci & Engn Dept Ahmadabad Gujarat India Sardar Vallabhbhai Natl Inst Technol Dept Comp Engn Surat Gujarat India

ISBN: (纸本)9789811068720;9789811068713

Localization is required to maintain real-time position for processing in indoor and outdoor conditions. This may be utilized to support mobile computing and networking among nodes in wireless sensor networks. In this paper, a dynamic algorithm for location estimation is proposed for the wireless sensor networks. The algorithm is tested on the TinyOS-based emulation test bed for validation of the approach in real-time environment.

关键词： Localization Wireless sensor networks distributed computing

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of User Influence Algorithm under Big Data Processing Framework in Social Networks 3

Performance Analysis of User Influence Algorithm under Big D...

引用

3rd IEEE international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Quan, Yong Zhang, Liang Jia, Yan Zhou, Bin Natl Univ Def Technol Coll Comp Changsha Hunan Peoples R China

ISBN: (纸本)9781538643013

Social influence plays an essential role in spreading information within online social networks, and can be modeled or measured by analyzing various social networking data, such as published content, users' attributes or interactions among them. Because of the massive social data, researchers often fail to quantify user influence in an accurate and high efficient way. Big data technique can be adopted to alleviate this problem. In this paper, we introduce a kind of classical individual influence algorithm, and implement two parallel versions of this algorithm based on different big data processing framework Experiment results on a large-scale real dataset demonstrate that the computational efficiency of influence algorithm can be improved significantly in massive data sets by virtue of big data processing framework

关键词： influence measurement performance analysis big data technique distributed computing social networks

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network-Based Approach for Citrus Diseases Recognition

Convolutional Neural Network-Based Approach for Citrus Disea...

引用

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

作者： Caixia Dong Zheling Xu Luanyuan Dai Weinan Liu Quan Chen Yizhang Liu Changcai Yang Tengyue Zou College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China International Business Department Fuzhou Melbourne Polytechnic Fuzhou China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

For the development of agricultural modernization, an automatic recognition network for crop diseases with the advantages of high efficiency, non-destructiveness and continuity is indispensable. In this paper, we construct a 13-layers convolutional neural network for common citrus diseases recognition, which improving the efficiency and reducing overfitting by using a stack of small kernel and dropout, etc. Finally, we conduct comparative experiments with other networks. The experiment results show that the performances of our network are better than CNN and AlexNet. It indicates that the network we constructed is an effective citrus diseases recognition method, which can provide technical support for the identification and prevention of citrus diseases.

关键词： Diseases Agriculture Kernel Feature extraction Forestry Convolutional neural networks

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 << < 196 197 198 199 200 201 202 203 204 205 > >>

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：