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

8,827 篇 会议
1,582 篇 期刊文献
22 册 图书
8 篇 学位论文

馆藏范围

10,438 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,163 篇 工学
- 2,180 篇 计算机科学与技术...
- 1,698 篇 电气工程
- 866 篇 信息与通信工程
- 489 篇 软件工程
- 273 篇 控制科学与工程
- 130 篇 仪器科学与技术
- 86 篇 电子科学与技术（可...
- 52 篇 机械工程
- 46 篇 交通运输工程
- 38 篇 网络空间安全
- 37 篇 测绘科学与技术
- 18 篇 生物医学工程（可授...
- 16 篇 航空宇航科学与技...
- 15 篇 动力工程及工程热...
- 14 篇 石油与天然气工程
- 12 篇 材料科学与工程（可...
- 12 篇 环境科学与工程（可...
401 篇 管理学
- 365 篇 管理科学与工程(可...
- 39 篇 图书情报与档案管...
- 19 篇 工商管理
- 14 篇 公共管理
228 篇 理学
- 89 篇 数学
- 50 篇 系统科学
- 29 篇 物理学
- 19 篇 地球物理学
- 17 篇 生物学
- 12 篇 化学
74 篇 医学
- 49 篇 临床医学
- 21 篇 基础医学(可授医学...
53 篇 文学
- 51 篇 新闻传播学
13 篇 农学
12 篇 经济学
7 篇 教育学
5 篇 艺术学
3 篇 法学
1 篇 哲学
1 篇 军事学

主题

10,439 篇 distributed data...
1,628 篇 data models
1,133 篇 servers
802 篇 computational mo...
727 篇 big data
713 篇 cloud computing
698 篇 computer archite...
647 篇 training
594 篇 protocols
546 篇 database systems
543 篇 computer science
513 篇 data privacy
492 篇 data mining
441 篇 scalability
363 篇 conferences
349 篇 query processing
344 篇 monitoring
339 篇 federated learni...
321 篇 optimization
314 篇 bandwidth

机构

18 篇 university of ch...
17 篇 tsinghua univers...
16 篇 department of co...
16 篇 institute of com...
15 篇 xidian univ stat...
14 篇 ibm thomas j. wa...
13 篇 school of comput...
13 篇 nanyang technol ...
13 篇 ibm research
12 篇 huazhong univers...
12 篇 argonne national...
12 篇 cent south univ ...
11 篇 city univ hong k...
11 篇 south china univ...
11 篇 school of comput...
10 篇 department of co...
10 篇 huazhong univ sc...
10 篇 department of co...
10 篇 graz university ...
10 篇 rmit university

作者

15 篇 jun wang
14 篇 yong chen
12 篇 jing zhang
12 篇 liu yang
12 篇 hui li
12 篇 s.h. son
12 篇 hai jin
10 篇 alfredo cuzzocre...
10 篇 li li
10 篇 yang yang
10 篇 yijie wang
10 篇 fatos xhafa
9 篇 lei wang
9 篇 kalman graffi
8 篇 li yang
8 篇 li zhang
8 篇 wei li
8 篇 gagan agrawal
8 篇 jeremy kepner
8 篇 wuhui chen

语言

10,342 篇 英文
55 篇 其他
40 篇 中文
2 篇 俄文

检索条件"主题词=distributed databases"

共 10439 条记录，以下是4931-4940 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：

Scalable Image Processing with Apache Spark and Convolutional Neural Networks

Scalable Image Processing with Apache Spark and Convolutiona...

引用

Communication, Computer Sciences and Engineering (IC3SE), International Conference on

作者： Deepika Sharma Ruchira Rawat Zaid Alsalami Narender Chinthamu Neeraj Varshney Manish Saraswat Department of Computer Science and IT Noida International University U. P Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Department of computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Enterprise Architect MIT CTO Dallas Texas USA Department of Computer Engineering and Applications GLA University Mathura Lloyd Institute of Engineering & Technology Greater Noida

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

This research presents a new framework called Spark-CNN that incorporates Apache Sparks distributed computing capabilities with Convolutional Neural Networks (CNNs) for images work processing. The results of experimental evaluation show that the proposed framework is indeed effective in handling large-scale image datasets, wherein substantial improvements have been noted regarding reduced processing time, scalability and accuracy. In Trial 1, Spark-CNN outperformed standalone –Spark (180 minutes), and all CNNs (240minutes) with an estimated processing season of 120 mins. Scale2 demonstrated the scalability of analyzing 2, sustaining constant processing times despite an increase in image dataset size from 1 million to 10 million. Further, in the third examination, Spark-CNN got an accuracy of 89%, surpassing standalone CNNs with a percentage score of 85%. Comparing the Trial 4 with Horovod-CNN, Spark-CNN showed a cutthroat processing time (120 minutes) and enhanced accuracy (89% vs., Trial 5 presented the influence of cluster setup on Spark-CNN revealing reduced execution times and better precision with growing numbers of executors beneficiaries per agent. These results establish Spark-CNN as a robust and effective solution to address scalable image processing challenges across different areas.

关键词： Deep learning Accuracy Image analysis Scalability distributed databases Cluster computing Big Data

来源：评论

学校读者我要写书评

暂无评论

Design and Verification of Logic Block Circuit in an SOI-Based FPGA

Design and Verification of Logic Block Circuit in an SOI-Bas...

引用

2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology(第十届固态和集成电路技术国际会议 ICSICT-2010)

作者： Xiaowei Han Stanley L. Chen Lihua Wu Yan Zhao Yan Li Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 P.R. China

A novel logic block circuit consisting of two multimode logic cells is proposed for the design of a tile-based FPGA fabricated with a 0.5um SOI-CMOS logic process. Each logic cell contains two 3-LUTs. The proposed 3-LUT based logic cell circuit increases logic density by about 12％ compared with a traditional 4-LLJT implementation. The logic block can be used in two functional modes: LUT mode and distributed RAM mode, the latter of which can be configured in two modes: Single-Port RAM and DualPort RAM. Comparing with the published data on the CLB in Xilinx Spartan FPGA, the maximum LUT logic propagation delay has about 20％ improvement and the distributed RAM average access time has about 21％ improvement.

关键词： Random access memory Field programmable gate arrays Table lookup Routing distributed databases Logic gates

来源：评论

学校读者我要写书评

暂无评论

International workshop on hot topics in Peer-to-Peer systems - HOTP2P

International workshop on hot topics in Peer-to-Peer systems...

引用

International Symposium on Parallel and distributed Processing (IPDPS)

来源：评论

学校读者我要写书评

暂无评论

Fuzzy conceptual-based search engine using conceptual semantic indexing

Fuzzy conceptual-based search engine using conceptual semant...

引用

Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： M. NikRavesh BISC Program Computer Sciences Division EECS Department University of California Berkeley CA USA

Retrieving relevant information is a crucial component of cased-based reasoning systems for Internet applications such as search engines. The task is to use user-defined queries to retrieve useful information according to certain measures. Even though techniques exist for locating exact matches, finding relevant partial matches might be a problem. It may not be also easy to specify query requests precisely and completely - resulting in a situation known as a fuzzy-querying. It is usually not a problem for small domains, but for large repositories such as World Wide Web, a request specification becomes a bottleneck. Thus, a flexible retrieval algorithm is required, allowing for imprecise specification or search. Therefore, we envision that non-classical techniques such as fuzzy logic based-clustering methodology based on perception, fuzzy similarity, fuzzy aggregation, and FLSI for automatic information retrieval and search with partial matches are required.

关键词： Search engines Indexing Internet Information retrieval Expert systems Fuzzy logic distributed databases Web sites Multimedia databases Machine learning

来源：评论

学校读者我要写书评

暂无评论

Blockchain Smart Contract for Scalable Data Sharing in IoT: A Case Study of Smart Agriculture

Blockchain Smart Contract for Scalable Data Sharing in IoT: ...

引用

Artificial Intelligence and Internet of Things (GCAIoT), IEEE Global Conference

作者： Mohsin Ur Rahman Fabrizio Baiardi Laura Ricci University of Pisa Pisa Italy Linguistics University of Pisa Pisa Italy

ISBN: (数字)9781728184203

ISBN: (纸本)9781728184210

The emerging Smart Agriculture based on Internet of Things (IoT) is facing major challenges like data sharing, storage, and monitoring, primarily due to the distributed nature of IoT and massive scale. We performed a review of the literature and found that blockchain performance, scalability, cost, and throughput are the major challenges in adopting blockchain for smart agriculture. To overcome these challenges, this paper proposes a scalable and distributed data sharing system integrating access control for smart agriculture. We demonstrate our approach in a smart agriculture setting, which consists of four tiers that are: smart agriculture, smart contract, Interplanetary File System (IPFS) and agriculture stakeholders (remote users). This paper explains in detail the different components of our proposed architecture. Our approach uses anonymous identities to ensure users' privacy. Our approach is fully scalable because a large number of resource owners can use their data sharing smart contracts to create, update or delete data sharing policies. In addition, our approach does not require transaction fees when the smart contract receives a large number of policy evaluation requests. For the sake of simplicity, we publish and test a single data sharing smart contract. However, in practice, multiple smart contracts need to be deployed to allow each resource owner to securely share agriculture data with stakeholders. Finally, we evaluate the performance of our proposed system on the EOS blockchain to show that the resource consumption (in terms of computing power and network bandwidth) introduced by our framework are insignificant compared to its scalability, cost and security benefits.

关键词： Scalability Smart contracts distributed databases Blockchain Agriculture Internet of Things Stakeholders

来源：评论

学校读者我要写书评

暂无评论

Cross-Source ML Model Training

Cross-Source ML Model Training

引用

International Conference on Data Engineering

作者： Wenbo Sun Rihan Hai Delft University of Technology Delft The Netherlands

ISBN: (数字)9798350317152

ISBN: (纸本)9798350317169

Machine learning (ML) often operates on data fragmented across silos through two paradigms: distributed or centralized. This study illuminates the underexplored signifi-cance of data integration (DI) metadata in both methodologies. Our contribution is threefold. First, we formalize the complex relationships of data sources with DI metadata. Second, we propose an approach that transforms DI metadata into matrix representations, and streamlines data transformation and linear algebra operations over source datasets. Third, we present an optimization method, effectively deciding between factorization versus materialization. By leveraging logic-based pruning rules and an ML-based cost estimator, our approach outperforms state-of-the-art baselines and makes the trade-off of factorization and materialization with up to 90.5% accuracy.

关键词： Training Soft sensors Optimization methods distributed databases Data integration Transforms Machine learning

来源：评论

学校读者我要写书评

暂无评论

DIDA: distributed In-Network Defense Architecture Against Amplified Reflection DDoS Attacks

DIDA: Distributed In-Network Defense Architecture Against Am...

引用

IEEE Conference on Network Softwarization (NetSoft)

作者： Xin Zhe Khooi Levente Csikor Dinil Mon Divakaran Min Suk Kang National University of Singapore Trustwave

ISBN: (数字)9781728156842

ISBN: (纸本)9781728156859

With each new DDoS attack potentially becoming a higher intensity attack than the previous ones, current ISP measures of over-provisioning or employing a scrubbing service are becoming ineffective and inefficient. We argue that we need an in-network solution (i.e., entirely in the data plane), to detect DDoS attacks, identify the corresponding traffic and mitigate promptly. In this paper, we propose the first distributed in-network defense architecture, DIDA, to cope with the sophisticated amplified reflection DDoS (AR-DDoS) attacks. We leverage programmable stateful data planes and efficient data structures and show that it is possible to keep track of per-user connections in an automated and distributed manner without overwhelming the network controller. Building on top of this data, DIDA can easily detect if unsolicited attack packets are sent towards a victim within an ISP network. Once an attack is detected, the routers at the network edge automatically block the malicious sources. We prototype DIDA in P4. Our preliminary experiments show that DIDA can detect and mitigate 99.8% of amplification attacks containing 7, 000 different sources while requiring less than 1% of the memory of current programmable switches.

关键词： Servers Computer crime distributed databases Memory management Protocols Materials handling IP networks

来源：评论

学校读者我要写书评

暂无评论

Interactive 3-D presentation of medical images on network using VRML 2.0

Interactive 3-D presentation of medical images on network us...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： H. Sato M. Shimanuki T. Akatsuka Department of Information Engineering Faculty of Engineering Yamagata University Yonezawa Yamagata Japan

Recently many researchers have been studying the feasibility of a support system for medical diagnosis through the World Wide Web, and there have been many attempts to construct a distributed database of medical images connected by the computer network. In these cases, the efficient and easy presentation of three-dimensional (3-D) medical images should be a quite important tool. The authors made a 3-D presentation system through the World Wide Web with a practical example image. The target 3-D object is a human head reconstructed from 177 MRI cross section slices, and the data for this display are described by the VRML 2.0 format. The observer can see the 3-D head model from any viewpoint, furthermore, he can operate the model through the network in a simple manner. Now, VRML is a popular and standard language to describe 3-D object, so one doesn't need to prepare the special software or special instruments. However, one needs some procedure to use it more efficiently. Here, the authors present an interactive 3-D presentation procedure for medical images on the network using VRML 2.0, and it is mentioned the presentation procedure is quite useful for remote medial service, teaching procedure for medical students and explanation for patients.

关键词： Biomedical imaging Medical diagnostic imaging Web sites Head Medical diagnosis distributed databases Image databases Computer networks Humans Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Applying Twister to Scientific Applications

Applying Twister to Scientific Applications

引用

IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

作者： Bingjing Zhang Yang Ruan Tak-Lon Wu Judy Qiu Adam Hughes Geoffrey Fox Pervasive Technology Institute Indiana University Bloomington USA Indiana University Bloomington Bloomington IN US

Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale data. The Twister MapReduce Framework, which not only supports the traditional MapReduce programming model but also extends it by allowing iterations, addresses these problems. This paper describes how Twister is applied to several kinds of scientific applications such as BLAST, MDS Interpolation and GTM Interpolation in a non-iterative style and to MDS without interpolation in an iterative style. The results show the applicability of Twister to data parallel and EM algorithms with small overhead and increased efficiency.

关键词： Interpolation distributed databases Programming Algorithm design and analysis Computer architecture Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Big Spatial Data Systems - A review

Big Spatial Data Systems - A review

引用

International Conference on Engineering Technology and their Applications (IICETA)

作者： Noor Alsaedi Ali Sadeq Abdulhadi Jalal Information and Communication Engineering Dept. Collage of Information Engineering Al-Nahrain University Baghdad Iraq

ISBN: (数字)9781665472159

ISBN: (纸本)9781665472166

With the accelerated growth of big spatial data volume produced by various devices, a plethora of development research to handle big spatial data has been done in the past decade. This research reviews the fundamental components and characteristics included in analytic systems for effectively managing big spatial data. After that, an overview of recent researches on big spatial data is discussed using four main components: source, storage, processing, and visualization. The components are then described in detail, including examples of how they are used in existing work. Afterward, some researchers’ work on systems of big spatial data is discussed showing how they support these four components. Furthermore, a comparison between these works is given in terms of the important performance metrics. Finally, this paper addresses the future research directions.

关键词： Soft sensors Query processing Data visualization distributed databases Throughput Reliability engineering Spatial databases

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 << < 490 491 492 493 494 495 496 497 498 499 > >>

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：