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

2,697 篇 会议
32 篇 期刊文献
25 册 图书

馆藏范围

2,754 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,680 篇 工学
- 1,476 篇 计算机科学与技术...
- 671 篇 软件工程
- 489 篇 信息与通信工程
- 355 篇 电气工程
- 91 篇 控制科学与工程
- 82 篇 网络空间安全
- 65 篇 生物工程
- 56 篇 电子科学与技术（可...
- 42 篇 动力工程及工程热...
- 40 篇 仪器科学与技术
- 34 篇 机械工程
- 28 篇 建筑学
- 26 篇 交通运输工程
- 26 篇 安全科学与工程
- 25 篇 环境科学与工程（可...
- 24 篇 光学工程
- 20 篇 生物医学工程（可授...
- 17 篇 材料科学与工程（可...
323 篇 理学
- 191 篇 数学
- 67 篇 生物学
- 47 篇 系统科学
- 45 篇 统计学（可授理学、...
- 44 篇 物理学
216 篇 管理学
- 143 篇 管理科学与工程(可...
- 85 篇 图书情报与档案管...
- 73 篇 工商管理
50 篇 法学
- 34 篇 社会学
28 篇 医学
- 21 篇 临床医学
- 17 篇 基础医学(可授医学...
23 篇 经济学
- 20 篇 应用经济学
14 篇 教育学
11 篇 农学
6 篇 文学
3 篇 军事学
2 篇 艺术学

主题

285 篇 distributed comp...
267 篇 cloud computing
135 篇 social networkin...
103 篇 computer archite...
93 篇 protocols
91 篇 computer network...
88 篇 computer science
87 篇 peer to peer com...
82 篇 computational mo...
75 篇 security
69 篇 mobile computing
66 篇 routing
66 篇 servers
61 篇 resource managem...
60 篇 peer-to-peer com...
59 篇 internet of thin...
59 篇 grid computing
57 篇 application soft...
56 篇 quality of servi...
51 篇 software enginee...

机构

29 篇 daffodil interna...
21 篇 beijing univ pos...
13 篇 state key labora...
12 篇 daffodil interna...
10 篇 daffodil interna...
10 篇 shandong provinc...
8 篇 institute of com...
8 篇 school of inform...
5 篇 shenyang institu...
5 篇 tokyo denki univ...
5 篇 rissho universit...
5 篇 department of co...
4 篇 univ chinese aca...
4 篇 nokia research c...
4 篇 beijing univ pos...
4 篇 center for compu...
4 篇 university of ch...
4 篇 hosei univ
4 篇 department of co...
4 篇 department of co...

作者

12 篇 abujar sheikh
12 篇 hossain syed akh...
12 篇 sheikh abujar
11 篇 syed akhter hoss...
8 篇 masum abu kaisar...
8 篇 abu kaisar moham...
7 篇 wehrle klaus
7 篇 dustdar schahram
7 篇 kao odej
7 篇 buyya rajkumar
6 篇 m. takizawa
6 篇 yang yang
6 篇 t. enokido
6 篇 wang ying
6 篇 rothermel kurt
5 篇 wu budan
5 篇 wirtz hanno
5 篇 truong hong-linh
5 篇 ramachandran k.i...
5 篇 bhuiyan md. rafi...

语言

2,730 篇 英文
17 篇 其他
5 篇 中文
2 篇 法文

检索条件"任意字段=11th International Conference on Distributed Computing and Networking"

共 2754 条记录，以下是2641-2650 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：

Understanding Brand's Association: Fine-Grained Multi-Modal Content Discovery for Brands

Understanding Brand's Association: Fine-Grained Multi-Modal ...

引用

international conference on Behavior, Economic and Social computing (BESC)

作者： Shuhan Qi Chengkai Huang Yifan Li School of Computer Science and Technology Harbin Institute of Technology Shenzhen Shenzhen China School of Computer Science and Engineering The University of New South Wales Sydney Australia

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

With the increasing popularity of short video plat-forms, the massive UGC provides high-quality materials for brand advertising. Recently, personalized content discovery methods have been proposed to recommend appropriate posts for brands to attract potential consumers. However, there are some drawbacks of them. Firstly, these methods only use images but ignore the multimodal information, which is not suitable for video-based brand advertising. Secondly, the generated features of brands are too coarse to distinguish the subtle differences from similar brands. In this paper, we propose a fine-grained multimodal content discovery (FGMCD) framework, which uses a large number of multimodal data to recommend informative videos for brands. Further, we designed a new hierarchical model, which adopts fine-grained features of different levels to make distinctions of similar brands exactly. We also collect a high-quality dataset with 50 car brands from Instagram and the experiments show the effectiveness of our method.

关键词： Visualization Social computing Social networking (online) Computational modeling Feature extraction Automobiles Web sites Multimedia communication Advertising

来源：评论

学校读者我要写书评

暂无评论

A novel approach of Load Balancing in Content Delivery Networks by optimizing the surrogate server

A novel approach of Load Balancing in Content Delivery Netwo...

引用

international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Pulkit Varshney Sanchit Gaur Satya Pal Airtel X Labs NSUT Delhi India Oracle NSUT Delhi India Car Dekho IIM Rohtak Delhi India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

the new load balancing methods plan to disseminate the load to the proxy servers ideally and amplify usage of the network, avoiding traffic and delay along the way. In this paper, we are proposing a novel approach for optimizing the router request time to minimize the delay, which exploits the adaptability and programmability of Software-Defined networking. It is done by creating CDNs and balancing load using surrogate networks. It will lower the load on the original server. the load balancing is done using shortest path selection through the utilization of neural networks as a machine learning technique to choose the node with the highest energy level and determine the fastest route for data transfer. this enhancement work in this paper is done for specific types of networks like wireless networks during the session layer transmission. In the selection process of the node for data transfer, we could use a neural network instead of a decision tree. the paper concludes with the evaluation of achieved results and the comparison against the of performance metrics of other pre-existing approaches.

关键词： Cloud computing Wireless networks Neural networks Load management Data transfer Delays Servers

来源：评论

学校读者我要写书评

暂无评论

Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks

Learning Influential Relationships for Implicit Influence Ma...

引用

international conference on Behavior, Economic and Social computing (BESC)

作者： Shiqing Wu Guandong Xu University of Technology Sydney Sydney Australia The Education University of Hong Kong Hong Kong SAR China

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

Social networks have been a common medium for spreading information among users. Inspired by this phenomenon, business companies consider ‘hiring’ some influential users in the social network to expand product promotion or brand influence. this problem can be computationally modeled as the Influence Maximization (IM) problem, which aims to find the best set of influential users to activate under a limited budget. Most existing solutions to the IM problem assume that the topological structure of a target network and the influential probabilities among users are provided in advance. However, acquiring complete influential relationships among users in an online social network can be challenging in many real-world applications. In this paper, we model the IM problem in such unknown social networks as the Implicit Influence Maximization (IIM) problem. To solve the IIM, we propose an ensembling approach consisting of two major components, i.e., Edge Explorer and Influence Probability Estimator. the Edge Explorer explores influential edges among users, while the Influence Probability Estimator estimates the influence probabilities associated with edges. the experimental results illustrate the effectiveness of the proposed approach.

关键词： Social computing Social networking (online) Network topology Computational modeling Companies Topology Business

来源：评论

学校读者我要写书评

暂无评论

Replica placement in peer-assisted clouds: an economic approach 11

Replica placement in peer-assisted clouds: an economic appro...

引用

Proceedings of the 11th IFIP WG 6.1 international conference on distributed applications and interoperable systems

作者： Ahmed Ali-Eldin Sameh El-Ansary Center of Informatics Science Nile University

ISBN: (纸本)9783642213861

We introduce NileStore, a replica placement algorithm based on an economical model for use in Peer-assisted cloud storage. the algorithm uses storage and bandwidth resources of peers to offload the cloud provider's resources. We formulate the placement problem as a linear task assignment problem where the aim is to minimize time needed for file replicas to reach a certain desired threshold. Using simulation, We reduce the probability of a file being served from the provider's servers by more than 97.5% under realistic network conditions.

关键词： cloud storage peer to peer computing

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-based Multi-task Network for Intelligent Management of Garbage Deposit Points

Deep Learning-based Multi-task Network for Intelligent Manag...

引用

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

作者： Yezhen Wang Haobin Zheng Changjiang Mao Jing Zhang Xiao Ke College of Computer and Data Science Fuzhou University Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Key Laboratory of Spatial Data Mining & Information Sharing Ministry of Education Fuzhou

ISBN: (纸本)9781728194202

With the economic and social development and the substantial improvement of material conditions, the generation of domestic waste has grown rapidly and has become a constraint factor for the development of new urbanization. In the past few years, research on the domestic waste industry has been limited to intelligent waste sorting, neglecting the role of intelligent management of waste storage sites. To relieve it, We propose a deep learning-based multi-task network for intelligent management of garbage deposit points, which combines algorithms such as YoloV5,Deepsort, Insightface, and Openpose to achieve waste bin detection, waste bin status recognition and analysis, face recognition, action recognition, and multiple object tracking based on real-time surveillance video. Besides, we propose a new dataset named Waste Bin Status, which provides a meaningful addition to the existing field of waste bin identification. Experiments on WBS dataset validate that our method is superior to other methods for garbage point status identification. Moreover, our network is trained to work with different scenarios of garbage deposits, demonstrating state-of-the-art performance in real-world tests.

关键词： Industries Face recognition Surveillance Education Streaming media Multitasking Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Smart Home Gardening Management System: A Cloud-Based Internet-of-things (IoT) Application in VANET

Smart Home Gardening Management System: A Cloud-Based Intern...

引用

international conference on computing and networking Technology (ICCNT)

作者： Sachin Sharma Abhinav Sharma Tanya Goel Rohan Deoli Seshadri Mohan Graphic Era Deemed to be University Dehradun India University of Arkansas at Little Rock Little Rock Arkansas USA

ISBN: (数字)9781728168517

ISBN: (纸本)9781728168524

the Cloud-based techniques emerging Internet of things (IoT) with Wireless Sensor Networks (WSNs) are enabling many new applications and new opportunities to people in VANET scenario. this paper presents a smart home gardening system; which is able to gather real-time data with various parameters used in gardening system. the technology used in this paper is going to help the society in terms of economic impact. Home gardening is considered an essential new trend for the awareness of the society towards environment. the efficient wireless communication using smart sensors facilitates cost effective solutions to real-time home gardening management system. Precision home gardening management system may optimize resources utilizations, smart sensors deployment and improves society awareness towards pollution free environment. this paper presents the design, implementation and validation process of new innovative technologies which can gather data related to home gardening like humidity, temperature, fertilizers compositions, and many more, push gathered data into VANET cloud for analysis, generate alerts and notify it to user for appropriate actions. In this paper, we present Cloud-based IoT technologies in VANET implementation for smart home gardening management system, which primarily focuses on real-world challenge of developing pollution free smart home in cities. We demonstrate the implementation of proposed system and discuss the results.

关键词： Internet of things Sensors Smart homes Temperature sensors Smart cities Cloud computing Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Enabling Prioritized Cloud I/O Service in Hadoop distributed File System

Enabling Prioritized Cloud I/O Service in Hadoop Distributed...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Tsozen Yeh Yifeng Sun Department of CSIE Fu Jen Catholic University New Taipei City Taiwan

ISBN: (纸本)9781479961245

Cloud computing has become more and more popular nowadays. Both governments and enterprises provide service through the construction of public and private clouds accordingly. Among the platforms used in cloud computing, Hadoop is considered one of the most practical and stable systems. Nevertheless, as with other regular software, Hadoop still needs to rely on the underlying operating system to communicate with hardware to function appropriately. For modern computer systems, CPUs excessively outrun hard drives (hard disks). the computer hard disk has become a major bottleneck to the overall system performance. Consequently, computer programs can execute faster if their corresponding I/O operation can be completed sooner. this is important in particular when we want to expedite the execution of urgent programs in a busy system. Unfortunately, under the current Hadoop environment, users cannot prioritize operation of disk and memory for programs which they would like them to run faster. With the help of prioritized I/O service we developed earlier, we proposed and implemented a Hadoop environment with the ability of providing prioritized I/O service. Our Hadoop environment could accelerate the execution of programs with high priority assigned by users. We evaluated our design by executing prioritized programs in environments with different busy levels. Experimental results show that programs can improve their performance by up to 33.79% if executed with high priority.

关键词： Cloud computing Computers Writing Operating systems Benchmark testing conferences

来源：评论

学校读者我要写书评

暂无评论

SmartMig: A Case for Page Migration and Self-Interleaving for On-Chip distributed Memory Systems

SmartMig: A Case for Page Migration and Self-Interleaving fo...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Weiwei Fu Mingmin Yuan Tianzhou Chen Qingsong Shi Li Liu Minghui Wu College of Computer Science Zhejiang University Hangzhou Zhejiang P.R. China School of Information Zhejiang Sci-Tech University Hangzhou Zhejiang P.R. China City College Zhejiang University Hangzhou Zhejiang P.R. China

ISBN: (纸本)9781479961245

this paper tries to optimize the placements of data pages, which have a strong impact on system performance. We find that both core-to-memory distance and contention on MCs and interconnects are critical. Migrating pages to their page access center can mini-mize average memory access distance, but may cause serious contention and congestion, necessitating further schemes for load balancing. Based on these observations, we propose a novel runtime mechanism called SmartMig, in which we mi-grate data pages to shorten memory access distance, while employ page self-interleaving to balance the load across the nodes. We propose models and algorithms to decide the fate of candidate pages. Simulation results show that SmartMig achieves performance improvements by 26.9% and 21.0% in terms of normalized IPC and average memory access latency, which is a result of significant reduction of core-to memory distance and load in balance.

关键词： System-on-chip Educational institutions Load management Runtime Routing conferences Load modeling

来源：评论

学校读者我要写书评

暂无评论

Geo-Cloudlet: Time and Power Efficient Geospatial Query Resolution using Cloudlet

Geo-Cloudlet: Time and Power Efficient Geospatial Query Reso...

引用

international conference on Advanced computing, ICAC

作者： Jaydeep Das Anwesha Mukherjee Soumya K. Ghosh Rajkumar Buyya Advanced Technology Development Centre Indian Institute of Technology Kharagpur West Bengal India Department of Computer Science Mahishadal Raj College Purba Medinipur West Bengal India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur West Bengal India Cloud Computing and Distributed Systems (CLOUDS) Lab School of Computing and Information Systems The University of Melbourne VIC Australia

ISBN: (数字)9781728152868

ISBN: (纸本)9781728152875

Geospatial data analysis is an emerging area of research today due to the potential to enable varied location-aware services. the existing centralized cloud-based analysis becomes time and computing-intensive for huge amount of geospatial data processing. this paper addresses the challenge of time and power-efficiency in QoS-aware geospatial query resolution. We propose a cloudlet based hierarchical paradigm, namely Geo-Cloudlet, where the cloudlets contain the geospatial data of the districts. the state and national level geospatial data are stored inside the state cloud and country cloud respectively. the query resolution is performed by either the cloudlet or by the state cloud or country cloud depending upon the geographical region related to the query. the experimental analysis illustrates that the proposed architecture Geo-Cloudlet reduces the latency up to 61.3% and power consumption up to 61.1% over the use of only remote cloud servers for geospatial query resolution.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scalable Graph Convolutional Network based Link Prediction on a distributed Graph Database Server

Scalable Graph Convolutional Network based Link Prediction o...

引用

IEEE international conference on Cloud computing, CLOUD

作者： Anuradha Karunarathna Dinika Senarath Shalika Madhushanki Chinthaka Weerakkody Miyuru Dayarathna Sanath Jayasena Toyotaro Suzumura University of Moratuwa Moratuwa Sri Lanka WSO2 Inc. USA Barcelona Supercomputing Center Barcelona Spain

ISBN: (数字)9781728187808

ISBN: (纸本)9781728187815

Graph Convolutional Networks (GCN) have become a popular means of performing link prediction due to the high accuracy offered by them. However, scaling such link prediction into large graphs of billions of vertices and edges with rich types of attributes is a significant issue to be addressed due to the storage and computation limitations of the machines. In this paper we present a scalable link prediction approach which conducts GCN training and link prediction on top of a distributed graph database server called JasmineGraph. We partition graph data and persist them in multiple workers. We implement parallel graph node embedding generation using GraphSAGE algorithm in multiple workers. Our approach avoids facing performance bottlenecks in GCN training using an intelligent scheduling algorithm. We show our approach scales well with an increasing number of partitions (2,4,8, and 16) using four real world data sets called Twitter, Amazon, Reddit, and DBLP-V11. JasmineGraph was able to train a GCN from the largest dataset DBLP-V11 (> 9.3GB) in 11 hours and 40 minutes time using 16 workers on a single server while the original GraphSAGE implementation could not process it at all. the original GraphSAGE implementation processed the second largest dataset Reddit in 238 minutes while JasmineGraph took only 100 minutes on the same hardware with 16 workers leading to 2.4 times improved performance.

关键词： Training Cloud computing Social networking (online) Scheduling algorithms distributed databases Prediction algorithms Servers

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276页 << < 261 262 263 264 265 266 267 268 269 270 > >>

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：