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

60,811 篇 会议
2,740 篇 期刊文献
1,002 册 图书
9 篇 学位论文
1 件 标准
1 篇 专利

馆藏范围

64,563 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

32,804 篇 工学
- 26,987 篇 计算机科学与技术...
- 15,246 篇 软件工程
- 11,166 篇 信息与通信工程
- 5,633 篇 电气工程
- 3,711 篇 控制科学与工程
- 2,811 篇 电子科学与技术（可...
- 1,199 篇 动力工程及工程热...
- 1,064 篇 机械工程
- 898 篇 仪器科学与技术
- 871 篇 生物工程
- 669 篇 生物医学工程（可授...
- 531 篇 安全科学与工程
- 506 篇 交通运输工程
- 498 篇 网络空间安全
- 471 篇 光学工程
- 426 篇 建筑学
- 327 篇 材料科学与工程（可...
- 325 篇 土木工程
8,471 篇 理学
- 5,975 篇 数学
- 1,474 篇 统计学（可授理学、...
- 1,182 篇 系统科学
- 1,127 篇 物理学
- 1,036 篇 生物学
5,453 篇 管理学
- 3,988 篇 管理科学与工程(可...
- 1,966 篇 工商管理
- 1,751 篇 图书情报与档案管...
784 篇 法学
- 499 篇 社会学
616 篇 医学
- 466 篇 临床医学
- 400 篇 基础医学(可授医学...
576 篇 经济学
- 573 篇 应用经济学
203 篇 文学
187 篇 农学
167 篇 教育学
107 篇 军事学
19 篇 艺术学
3 篇 哲学

主题

7,052 篇 computer network...
4,719 篇 computer archite...
4,375 篇 computer science
4,163 篇 distributed comp...
3,711 篇 wireless sensor ...
2,958 篇 application soft...
2,785 篇 protocols
2,611 篇 computational mo...
2,335 篇 hardware
2,298 篇 neural networks
2,193 篇 bandwidth
2,151 篇 delay
2,137 篇 distributed comp...
2,042 篇 routing
1,862 篇 costs
1,616 篇 resource managem...
1,609 篇 intelligent netw...
1,513 篇 network topology
1,424 篇 control systems
1,406 篇 throughput

机构

92 篇 school of comput...
66 篇 ibm thomas j. wa...
59 篇 department of co...
59 篇 department of co...
49 篇 school of comput...
45 篇 school of electr...
36 篇 school of comput...
36 篇 department of sy...
32 篇 college of compu...
32 篇 department of el...
29 篇 inria
29 篇 school of comput...
29 篇 department of el...
28 篇 department of el...
28 篇 ibm thomas j. wa...
28 篇 department of co...
27 篇 department of el...
27 篇 department of sy...
27 篇 department of co...
27 篇 shandong provinc...

作者

50 篇 m. takizawa
27 篇 li li
26 篇 kowalski dariusz...
24 篇 kuhn fabian
24 篇 yu wang
24 篇 santoro nicola
24 篇 s.k. das
23 篇 k.g. shin
23 篇 peleg david
23 篇 p.k. srimani
23 篇 jun wang
23 篇 klaus wehrle
23 篇 duato j.
22 篇 dhabaleswar k. p...
22 篇 l.m. ni
21 篇 sens pierre
21 篇 xiaodong lu
19 篇 guohong cao
19 篇 y. shibata
18 篇 torsten hoefler

语言

61,679 篇 英文
2,441 篇 其他
439 篇 中文
48 篇 葡萄牙文
7 篇 法文
3 篇 德文
3 篇 西班牙文
3 篇 日文
3 篇 俄文

检索条件"任意字段=International Symposium on Computer Networks and Distributed Systems"

共 64565 条记录，以下是1291-1300 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：

Quantitative Scalability of Nodes and Geographical Coverage in LEACH Protocol 6

Quantitative Scalability of Nodes and Geographical Coverage ...

引用

6th international Conference on Pattern Analysis and Intelligent systems, PAIS 2024

作者： Mir, Foudil Meziane, Farid Bounceur, Ahcene Laouid, Abdelkader Faculty of Exact Sciences Bejaia06000 Algeria University of Derby Data Science Research Centre Derby United Kingdom Kfupm Information And Computer Science Department Dhahran Saudi Arabia University of El Oued Liap Laboratory El Oued39000 Algeria

ISBN: (纸本)9798350350265

Energy optimisation using clustering remains a constant challenge in wireless sensor networks (WSNs). The high volume of data generated within these networks leads to excessive energy consumption when transferring it to the processing center. Therefore, clustering protocols, in particularly hierarchical routing protocols dedicated to WSNs, must imperatively integrate energy efficiency mechanisms in order to extend the functional lifetime of the nodes and the network. In this paper, we focus on an in-depth analysis of scalability in the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The LEACH protocol, renowned for its random and distributed approach to WSNs energy optimisation, forms the focus of our analysis and exploration. Our study focuses in particular on the quantitative scalability of nodes and the scalability of geographical coverage. The aim is to improve our understanding of the behaviour of the LEACH protocol in large-scale environments, particularly with regard to node and network lifetime and energy management parameters. © 2024 IEEE.

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

Advancing Safety and Efficiency in Human-Robot Interaction 2

Advancing Safety and Efficiency in Human-Robot Interaction

引用

2nd international Conference on distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Kurian, Smitha Faiz, Mohammed Mohammed Mustafa, C. Zubair, Mohammed Ahamed, Sagheer Hkbk College of Engineering Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350382952

The modern-day studies in video surveillance, fireplace detection, face reputation, crowd detection, augmented reality-based totally navigation, and artificial intelligence programs. In video surveillance, deep mastering-based totally anomaly detection algorithms, consisting of convolution and recurrent neural networks, revolutionize performance in item segmentation and tracking. Fire detection studies introduces algorithms combining static and dynamic functions, making use of deep studying for precise scene identification. Face reputation advancements include algorithms primarily based on invariant features, rework domain strategies, and the implementation of YOLO.V3 for actual-time popularity. Crowd detection studies unveils algorithms using pre-educated 2D convolution neural networks and hybridized YOLOv4 fashions for real-time monitoring. Augmented fact-based totally navigation leverages ORB-SLAM algorithms for indoor placement. Lastly, the paper introduces the Network-in-the-Loop (N-HiL) framework, incorporating algorithms to evaluate wireless conversation effects on robotic systems. This summary succinctly offers key algorithms and studies findings, presenting insights into the trendy technology in protection and surveillance. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent systems for Autonomous IoT Network Management Using distributed Reinforcement Learning 3

Multi-Agent Systems for Autonomous IoT Network Management Us...

引用

3rd international Conference on Intelligent systems, Advanced Computing, and Communication, ISACC 2025

作者： Neelamegam, G. Venkatesan, Rajaram Ramya, S.R. Ramya, R.S. Akshya, J. Sundarrajan, M. Choudhry, Mani Deepak VSB College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Coimbatore India Builders Engineering College Department of Artificial Intelligence and Data Science Tamil Nadu Tirupur India Dr NGP Institute of Technology Department of Computer Science and Engineering Tamil Nadu Coimbatore India Sri Ramakrishna Engineering College Department of Computer Science and Engineering Tamil Nadu Coimbatore India SRM Institute of Science and Technology Department of Computational Intelligence Tamil Nadu Chennai India SRM Institute of Science and Technology Department of Networking and Communications Tamil Nadu Chennai India SRM Institute of Science and Technology Department of Computing Technologies Tamil Nadu Chennai India

ISBN: (纸本)9798331523893

The ever-growing complexity of IoT networks ignited by their wide scale adoption in applications such as smart cities, the industrial automation, and health care, compelled to develop sophisticated yet resource efficient and scalable network management solution. Centralized systems are traditional in architecture, which leads to higher latency and bottlenecks, while decentralized systems can distribute workloads however the lack of adaptability to real time, along with the difficulty of extracting maximum resource usage, are limitations. In recent years, reinforcement learning (RL) based approaches have taken shape as a promising alternative to facilitate the automated learning and optimisation of task management. However, there are two challenges for existing RL based methods: slow convergence, inefficient priority assignment of tasks, and poor coordination amongst agents in the case of dynamic, large scale IoT environment. To solve these challenges, in this research we propose a distributed reinforcement learning based multi agent framework for managing IoT network. The framework also integrates a task prioritization mechanism to dynamically choose an optimal task allocation solution. Further validation was performed in a simulated IoT environment where real world inspired datasets were used. The proposed framework demonstrated 30% more task throughput than centralized, 25% less latency than decentralized, and 40% more energy efficiency than current RL based systems. The system was further validated using advanced visualizations such as anomaly detection maps and resource allocation efficiency graphs, demonstrating its capacity to manage dynamic load of tasks and resource allocation. The proposed framework addresses the critical limitations of current methods, through scalable, adaptive, and energy efficient framework for managing IoT network, and accordingly helps advancing the intelligent and autonomous IoT systems. © 2025 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Deep Quantization of Graph Neural networks with Run-Time Hardware-Aware Training 20th

Deep Quantization of Graph Neural Networks with Run-Time Har...

引用

20th international symposium on Applied Reconfigurable Computing (ARC)

作者： Hansson, Olle Grailoo, Mahdieh Gustafsson, Oscar Nunez-Yanez, Jose Linkoping Univ Dept Elect Engn S-58183 Linkoping Sweden

ISBN: (纸本)9783031556722;9783031556739

In this paper, we investigate the benefits of hardware-aware quantization in the gFADES hardware accelerator targeting Graph Convolutional networks (GCNs). GCNs are a type of Graph Neural networks (GNNs) that combine sparse and dense data compute requirements that are challenging to meet in resource-constrained embedded hardware. The gFADES architecture is optimized to work with the pruned data representations typically present in graph neural networks for the graph structure and features. It is described in High-Level Synthesis (HLS) which enables efficient design-space exploration of mixed precision hardware configurations. In this work, the mixed-precision design is embedded in the forward pass of the PyTorch back-propagation training loop to enable run-time hardware-aware training. It uses different data types to represent adjacency, feature, weight, internal, and output values which allows for a fine-grained optimization at the tensor level. The resulting hardware configuration after training reduces precision to a 4-bit data type for all inputs. It achieves little to no degradation in the classification accuracy, when training on the Planetoid database dataset, compared to the original 32-bit floating-point. The optimized hardware design running on an AMD/Xilinx Zynq Ultrascale+ FPGA device achieves over 600x speedup compared to the optimized PyTorch software implementation running on the multi-core ARM CPU in the processing system.

关键词： Neural networks FPGA GNN quantization low precision

来源：评论

学校读者我要写书评

暂无评论

Home Assistant platform under DDoS attacks for IPv4 and IPv6 networks 17

Home Assistant platform under DDoS attacks for IPv4 and IPv6...

引用

17th IEEE international Scientific Conference on Informatics, INFORMATICS 2024

作者： Simon, Marek Huraj, Ladislav Hrinkino, Dominik University of SS. Cyril and Methodius Institute of Computer Technologies and Informatics Trnava Slovakia

ISBN: (纸本)9798350387674

This study investigates the resistance of the Home Assistant platform under different types of distributed Denial of Service (DDoS) attacks, namely TCP SYN flood, UDP flood, and ICMP flood, in IPv4 and IPv6 network environments. With the increasing number of IoT devices, the security of smart home systems is becoming an issue of paramount importance. The study focuses on the impact of these attacks on the security and availability of the Home Assistant platform, testing different attack intervals to assess the resistance of the system. The results show differences in the performance and vulnerability of IPv4 and IPv6 networks to high-frequency attacks. The findings highlight the need for robust mitigation strategies to improve the security and reliability of smart home systems. © 2024 IEEE.

关键词： Smart homes

来源：评论

学校读者我要写书评

暂无评论

distributed Control for Traffic Light in Smart Cities: Parameters and Algorithms 1

引用

20th international symposium on distributed Computing and Artificial Intelligence, DCAI 2023

作者： Uribe-Chavert, Pedro Posadas-Yagüe, Juan-Luis Poza-Lujan, Jose-Luis Doctoral School Universitat Politècnica de València. Camino de vera sn 46022 Valencia Spain Research Institute of Industrial Computing and Automatics. Universitat Politècnica de València. Camino de vera sn 46022 Valencia Spain

ISBN: (数字)9783031383335

ISBN: (纸本)9783031383328

This article focuses on communicating and transmitting meaningful parameters between junctions in traffic control systems. Decisions taken at one junction can have a domino effect on subsequent junctions, and good communication can allow for better coordination and optimisation of traffic throughout the system. Traffic control algorithms must know the parameters to determine how distributed the control should be, and the distance the information will be sent to control nodes is necessary. In this article, we present an orientation to the distribution of the control algorithms that support the architecture presented in previous works. We review the consequences of having isolated control per junction, collaborative control where information is shared, and consensual control where information is known by all nodes involved at various junctions. The article also describes the proposed control methods adapted to the architecture presented in previous works and presents the tested algorithms. Finally, conclusions and possible lines of progress are presented. The goal of this article is to contribute to the optimisation and coordination of traffic control systems in smart cities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

SentinelMet: Enhancing Metaverse Security through Deep Learning Techniques in 6G 18

SentinelMet: Enhancing Metaverse Security through Deep Learn...

引用

18th IEEE international Conference on Advanced networks and Telecommunications systems, ANTS 2024

作者： Rajput, Dikshant Singh, Sunil K. Kumar, Sudhakar Vashisht, Harshit Chui, Kwok Tai Gupta, Brij B. Chandigarh College of Engineering and Technology Chandigarh India Hong Kong Hong Kong Asia University Department of Computer Science and Information Engineering Taichung413 Taiwan University of Economics and Human Science Warsaw Poland

ISBN: (纸本)9798350391725

With the increasing demand for robust security in the rapidly expanding metaverse within 6 G networks, advanced intrusion detection systems (IDS) are becoming essential. This paper introduces a novel hybrid intrusion detection framework that combines Gaussian Mixture Clustering with Random Forest classifiers and KMeans Clustering with Random Forest classifiers. These models are evaluated for their effectiveness in identifying complex intrusion patterns. The hybrid approaches demonstrated high detection rates, with the Gaussian Mixture Clustering ensemble achieving a detection rate of 99.5-99.6%, while the KMeans clustering model achieved a detection rate of {9 8 - 9 9 %}. Comparative analysis shows that these models enhance detection performance while maintaining robustness in a dynamic and diverse metaverse landscape. © 2024 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

Spiking Neural Network Model for Detection Spoofing Attacks in Vehicular Ad-Hoc networks 8

Spiking Neural Network Model for Detection Spoofing Attacks ...

引用

8th international Artificial Intelligence and Data Processing symposium, IDAP 2024

作者： Yalcin, Sercan Adiyaman University Department of Computer Engineering Adiyaman Turkey

ISBN: (纸本)9798331531492

The security and dependability of Vehicular Ad-hoc networks (VANETs) are seriously threatened by spoofing attacks. Malicious entities have the ability to undermine the integrity of vehicular communication through the forgery or falsification of communications, which can result in serious repercussions including infrastructure damage, traffic accidents, and privacy violations. To identify spoofing attacks in VANETs effectively, a Spiking Neural Network (SNN) model is introduced in this research. Their event-driven design allows for more effective processing of network traffic data since it complements the dynamic and asynchronous character of vehicular communication. Because of their sparse coding scheme, SNNs may be able to achieve reduced energy consumption and greater computing efficiency. Furthermore, SNNs have the ability to automatically represent temporal relationships in data, which is essential for accurately capturing how spoofing attacks change over time. Multiple layers of spiking neurons in the SNN architecture allow for the extraction of complex information from unprocessed network traffic data. Extensive experiments were conducted using the Python language to evaluate the performance of the model. With a detection accuracy of 97.8% and a low false negative rate of 0.01, the proposed SNN model outperformed conventional machine learning and deep learning approaches in recognizing spoofing attacks, demonstrating its efficacy in identifying hostile nodes. This study offers a reliable and effective method for identifying spoofing attacks in VANETs, which makes a substantial contribution towards the progress of network security. The SNN model has the potential to raise the general level of safety and dependability of intelligent transportation systems and provides a viable method for handling difficult problems in vehicular communication systems. © 2024 IEEE.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

The Automata-Based Model for Control of Large distributed systems 24th

The Automata-Based Model for Control of Large Distributed Sy...

引用

24th international Conference on distributed computer and Communication networks, DCCN 2021

作者： Zatuliveter, Yu. S. Fishchenko, E.A. Institute of Control Sciences of Russian Academy of Sciences 65 Profsoyuznaya street Moscow117997 Russia

ISBN: (纸本)9783030971090

With the increase in the size of distributed systems implemented in a global computer environment, mathematical methods for formalizing their development and functioning become one of the important problems. The article proposes the automata-based approach to distributed systems representation and control of their operation using balance-based equations. A feature of the automata-based model is that the control complexity in arbitrarily large distributed systems ceases to depend on the size of the distributed network systems and the problems they solve. © 2022, Springer Nature Switzerland AG.

关键词： computer control systems

来源：评论

学校读者我要写书评

暂无评论

Energy-Constrained Task Scheduling in Heterogeneous distributed systems 26

Energy-Constrained Task Scheduling in Heterogeneous Distribu...

引用

26th international Conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Chen, Chen Zhu, Jie Huang, Haiping Gao, Yingmeng Nanjing University of Posts & Telecommunications Nanjing210003 China Institute of Computing Technology Academy of Sciences State Key Laboratory Chinese of Computer Architecture Beijing100864 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China

ISBN: (纸本)9798350331684

The resource-constrained task scheduling problem has been one of the popular research topics in cloud computing systems. By employing the dynamic voltage and frequency scaling (DVFS) techniques, the task scheduling can be further constrained by energy consumption. The paper investigates the DAG task scheduling considering both the resource and energy constraints in heterogeneous distributed systems. The objective is to minimize the scheduling length. An energy-constrained task scheduling framework is employed, where tasks are initially scheduled according to their upward rank values. Then two heuristics are proposed to improve the initial solution, namely, the simulated annealing local search method and the frequency adjustment method. Experiments are conducted by testing a large number of instances with multiple parameter settings, and the results show that the proposed algorithms are effective and efficient. © 2023 IEEE.

关键词： Energy utilization

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 << < 126 127 128 129 130 131 132 133 134 135 > >>

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：