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

9,895 篇 会议
567 篇 期刊文献
36 篇 学位论文
35 册 图书

馆藏范围

10,533 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

5,914 篇 工学
- 3,976 篇 计算机科学与技术...
- 2,469 篇 信息与通信工程
- 2,004 篇 电气工程
- 1,904 篇 软件工程
- 1,247 篇 控制科学与工程
- 345 篇 电子科学与技术（可...
- 344 篇 机械工程
- 237 篇 动力工程及工程热...
- 214 篇 交通运输工程
- 193 篇 仪器科学与技术
- 152 篇 石油与天然气工程
- 138 篇 生物工程
- 101 篇 航空宇航科学与技...
- 95 篇 环境科学与工程（可...
- 93 篇 生物医学工程（可授...
- 91 篇 土木工程
- 81 篇 建筑学
- 80 篇 安全科学与工程
1,157 篇 理学
- 586 篇 数学
- 326 篇 物理学
- 179 篇 系统科学
- 172 篇 统计学（可授理学、...
- 162 篇 生物学
1,119 篇 管理学
- 1,003 篇 管理科学与工程(可...
- 293 篇 工商管理
- 183 篇 图书情报与档案管...
164 篇 医学
- 138 篇 临床医学
- 72 篇 基础医学(可授医学...
106 篇 法学
- 74 篇 社会学
102 篇 经济学
- 97 篇 应用经济学
37 篇 教育学
36 篇 农学
25 篇 文学
16 篇 军事学
4 篇 艺术学

主题

1,893 篇 quality of servi...
964 篇 internet
868 篇 internet of thin...
753 篇 traffic control
732 篇 bandwidth
648 篇 control systems
626 篇 telecommunicatio...
520 篇 ip networks
479 篇 protocols
436 篇 throughput
368 篇 delay
367 篇 resource managem...
343 篇 web and internet...
338 篇 routing
285 篇 real-time system...
267 篇 streaming media
243 篇 monitoring
238 篇 network topology
231 篇 delays
227 篇 network servers

机构

14 篇 chitkara univers...
13 篇 tsinghua univers...
12 篇 department of co...
11 篇 china electric p...
11 篇 school of electr...
11 篇 beijing universi...
10 篇 state key labora...
9 篇 department of sy...
9 篇 shanghai jiao to...
9 篇 beijing jiaotong...
9 篇 china industrial...
9 篇 school of inform...
9 篇 northeastern uni...
8 篇 department of el...
8 篇 chinese acad sci...
8 篇 university of ch...
8 篇 nanyang technol ...
8 篇 beijing univ pos...
8 篇 electronics and ...
8 篇 state key labora...

作者

14 篇 singh bhim
12 篇 murata m
11 篇 mellouk abdelham...
11 篇 liu yang
10 篇 chuang lin
9 篇 polese michele
9 篇 zhang lei
8 篇 kim jw
8 篇 liu yan
8 篇 zhang hongke
8 篇 chen cailian
8 篇 barolli leonard
8 篇 samouylov konsta...
7 篇 zarai faouzi
7 篇 s. jagannathan
7 篇 wolfgang kellere...
7 篇 li jun
7 篇 yan zhang
6 篇 kirichek ruslan
6 篇 ikenaga takeshi

语言

10,302 篇 英文
139 篇 其他
87 篇 中文
3 篇 西班牙文
2 篇 捷克文
2 篇 土耳其文
1 篇 葡萄牙文
1 篇 俄文
1 篇 乌克兰文

检索条件"任意字段=Conference on Internet Quality and Performance and Control of Network Systems"

共 10533 条记录，以下是301-310 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：

B-DT: A Bagged-Decision Tree Detection and Characterization of the IoT-SCADA network Communication Traffic

B-DT: A Bagged-Decision Tree Detection and Characterization ...

引用

IEEE International conference on Communications (IEEE ICC)

作者： Ahakonye, Love Allen Chijioke Nwakanma, Cosmas Ifeanyi Lee, Jae Min Kim, Dong-Seong Kumoh Natl Inst Technol Gumi IT Convergence Engn Gumi South Korea Kumoh Natl Inst Technol Gumi ICT Convergence Res Ctr Gumi South Korea

ISBN: (纸本)9798350333077

Accelerated transformation in industrial control systems (ICS) such as Supervisory control and Data Acquisition (SCADA) from conventional specialized serial-based to internet protocols (TCP/IP) reliant standard communication protocols such as IEC-60870-5-104 have increased vulnerability to attacks and intrusions. Maintaining the reliability and availability of SCADA systems demands versatile and robust security solutions. This study proposes a monitoring technique to detect and characterize network traffic communication in the IEC-60870-5-104 SCADA network. The proposed anomaly detector employs a Bagged-Decision Tree algorithm (B-DT) for detecting and characterizing IEC-60870-5-104-based SCADA network communication traffic. The proposed B-DT significantly detects and characterizes various network categories and application types. The Matthew correlation coefficient (MCC) validated the predictive performance of the proposed model.

关键词： IEC-60870-5-104 Decision Trees Machine Learning network Communication IoT-SCADA

来源：评论

学校读者我要写书评

暂无评论

Enhancing Real-Time Streaming quality through a Multipath Redundant Communication Framework 23

Enhancing Real-Time Streaming Quality through a Multipath Re...

引用

23rd International-Federation-for-Information-Processing (IFIP) networking conference (IFIP networking)

作者： Ito, Koki Nakazato, Jin Fontugne, Romain Tsukada, Manabu Esaki, Hiroshi Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan Internet Initiative Japan Inc Tokyo Japan

ISBN: (纸本)9798350390605;9783903176638

Recently, as networks operate as the infrastructure of modern society, the demands placed on the network by applications have become more complex. In particular, there is an increasing annual demand for high-capacity and low-latency services, including real-time streaming. 5G has been launched to meet this demand, but its stability varies depending on location and time and can only sometimes be considered sufficient. One method to improve communication stability is multipath redundant communication, and much research has been conducted in this area. However, most of this research has focused on TCP-based communication and cannot be applied effectively to real-time UDP streaming. Hence, we propose a multipath redundant communication framework to improve the quality of real-time media streaming communication. Our proposed system is verified using multipath redundant communication and multiple mobile networks from a vehicle moving in an urban area. The experiments use a real-time streaming application based on WebRTC, and the framework significantly reduced packet loss and improved bitrate compared to existing multipath redundant communication systems without interfering with the congestion control mechanisms of the application.

关键词： 5G multipath redundant communication mobile network vehicular communication UDP streaming

来源：评论

学校读者我要写书评

暂无评论

Botnet Detection by including payload information of packets through machine learning

Botnet Detection by including payload information of packets...

引用

control Instrumentation System conference (CISCON) - Guiding Tomorrow - Emerging Trends in control, Instrumentation, and systems Engineering

作者： Samarendranath, B. Rao, Dinesh B. Balachandra, M. Prathiksha Manipal Acad Higher Educ Manipal Sch Informat Sci Manipal 576104 Karnataka India Manipal Acad Higher Educ Manipal Inst Technol Dept Informat & Commun Technol Manipal 576104 Karnataka India

ISBN: (数字)9798350375480

ISBN: (纸本)9798350375480;9798350375497

Botnets are collections of compromised devices manipulated by malicious entities. To safeguard against their varied and constantly evolving threats, it is essential to have sophisticated detection techniques in place. In this work, we investigate the utilization of machine learning methodologies for identifying botnets using CTU-13, a large repository that contains a wide range of botnet examples. By extracting features from the packet payloads and the header data, we are able to distinguish between botnet and harmless network traffic. We utilize a range of supervised machine learning techniques, including a Convolutional Neural network (CNN), to identify botnet behavior. With rigorous evaluation, we see the nuanced performance of various machine learning models. In particular, we find that the naive Bayes classifier is very effective in detecting botnets, while CNN shows remarkable accuracy, especially when it is asked to classify botnet data converted to images. We also explore preprocessing techniques that improve the quality of textual data. This helps to improve feature extraction as well as model performance, emphasizing the importance of proper data preparation for cybersecurity analyses. These insights not only shed light on how effective machine learning can be in detecting botnets but also provide actionable recommendations for improving cyber security strategies.

关键词： Botnets CTU-13 dataset Convolutional Neural network (CNN) Cyber security Data pre-processing Machine learning malicious network traffic

来源：评论

学校读者我要写书评

暂无评论

A High-Precision Edge Detection Algorithm Based on Improved Sobel Operator-Assisted HED 14

A High-Precision Edge Detection Algorithm Based on Improved ...

引用

14th IEEE International conference on Cyber Technology in Automation, control, and Intelligent systems, CYBER 2024

作者： Yuan, Yeborui Chen, Wenyuan Tang, Jie Yang, Jia School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Shenyang Institute of Automation Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang State Key Laboratory of Robotics 110016 China University of Chinese Academy of Sciences Beijing100049 China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin300384 China

ISBN: (纸本)9798331506056

In response to the problem of poor detection performance of the traditional Sobel operator in edge detection, a high-precision edge detection algorithm based on Sobel operator-assisted Holistically-nested Edge Detection (HED) network was proposed, which is named ISAHED here. The algorithm is designed as follows. Firstly, an improved Sobel operator based on the traditional Sobel operator was proposed through adding gradient direction. Then, the image output by the improved Sobel operator is taken as the ground-truth image and as the end-to-end comparison object in a HED-like network. Finally, the ISAHED algorithm outputs edge images with better quality through iterative learning of the HED-like neural network. The experimental results prove that the proposed ISAHED algorithm has better edge detection performance by visually observing the final edge images and further evaluating the values of FOM. This work provides an important reference for the further development of the edge detection technology. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Optimizing Multi-Criteria Recommender systems for the Travel and Tourism Sector: A Hybrid Approach Using ANFIS and Particle Swarm Optimization 10

Optimizing Multi-Criteria Recommender Systems for the Travel...

引用

10th International conference on Signal Processing and Intelligent systems, ICSPIS 2024

作者： Khosravi, Arash Azarnik, Ahmad Mahallat Institute of Higher Education Faculty of Engineering Mahallat Iran

ISBN: (纸本)9798331532543

The rapid expansion of the internet has revolutionized knowledge sharing and decision-making processes, leading to the emergence of recommender systems that help users navigate vast amounts of information online. These systems are particularly valuable in the travel and tourism sector, where users face challenges in selecting suitable hotels, routes, and experiences based on complex factors like personal preferences and budget constraints. This research presents a multi-criteria recommender system designed specifically for the travel industry, leveraging a combination of filtering methods applied to TripAdvisor data. The system enhances recommendation accuracy by considering user preferences, service quality, and the experiences of similar users. To optimize performance further, the study integrates clustering algorithm with the Adaptive Neuro-Fuzzy Inference System (ANFIS) to model complex data relationships. Additionally, Particle Swarm Optimization (PSO) is employed to enhance ANFIS parameters, leading to improved accuracy and prediction outcomes. The results demonstrate significant enhancements in predictive performance, the ANFIS + PSO approach demonstrates superior accuracy and stability, making it highly recommended for future applications that require reliable predictive performance. This research highlights the importance of optimization techniques like PSO in enhancing the capabilities of adaptive and intelligent modeling systems. © 2024 IEEE.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Coordinating the SDN and TDMA planes in software-defined tactical MANETs with adaptive coding and modulation

Coordinating the SDN and TDMA planes in software-defined tac...

引用

International conference on Military Communications and Information systems (ICMCIS)

作者： Papageorgiou, Yiannis Loevenich, Johannes F. Karaliopoulos, Merkouris Rettore, Paulo H. L. Lopes, Roberto Rigolin F. Koutsopoulos, Iordanis Athens Univ Econ & Business Dept Informat Athens Greece Univ Osnabruck Dept Math Comp Sci Bonn Germany Fraunhofer FKIE Dept Commun Syst Bonn Germany Thales Deutschland Secure Commun Informat SIX Ditzingen Germany

ISBN: (纸本)9798350343854

In this paper, we investigate a tactical mobile ad hoc network (MANET) enhanced with software defined networking (SDN) functionality. Radio transmissions of network links are orchestrated using time division multiple access (TDMA) and are subject to adaptive modulation and coding (AMC) to address the dynamic variations in the quality of MANET links. A significant challenge within these networks is meeting the quality of service (QoS) demands of end-user data traffic while maintaining the SDN control plane's responsiveness to MANET topology alterations. To address this challenge, we propose a novel approach that concurrently determines the optimal placement of the SDN controller and the transmission scheduling of links in the MANET. The management of residual resources has a direct impact on both performance metrics. Building upon previous research, we present a more comprehensive model of the quality variations of tactical MANET links, elucidating how these variations dictate transmission modes over each link through software-defined radio (SDR) technology and influence the slot allocation process. We contrast our joint optimization algorithm with alternative techniques that manage these two network control mechanisms independently. Numerical evaluations suggest that our proposed algorithm achieves superior performance in comparison with the techniques considered.

关键词： Tactical networks Mobility network Modeling Scheduling controller Placement Problem

来源：评论

学校读者我要写书评

暂无评论

A Resources Allocation Scheme For Joint Optical Wireless Transport networks 6

A Resources Allocation Scheme For Joint Optical Wireless Tra...

引用

6th International conference on Artificial Intelligence, Big Data, Computing and Data Communication systems, icABCD 2023

作者： Molefe, Mlungisi Sibiya, Khulekani Nleya, Bakhe Durban University of Technology Dept. of electronic and computer engineering Durban South Africa

ISBN: (纸本)9798350314809

As the future of networking dives into a new era of connecting every single physical device into the internet termed internet of Things (loT), this significantly means a rapid increase in the number of online connected devices, which leads to more bandwidth hungry and data consuming devices. The fifth generation (5G) of mobile communication has been deployed already in multiple countries, therefore researchers have migrated their focus to the sixth generation (6G) of mobile communication to cater for extensive coverage and massive number of loT devices. A promising architecture and technology to cope with massive number of online devices and extensive coverage is a joint optical wireless transport network which offers comparably ultra-high systems capacity and extremely low latency while maintaining an improved quality of service. Furthermore, an optical wireless transport network can accommodate high speed mobility for frequently moving end user devices which is essential for 6G. In this paper our focus is to explore and propose an ultimate optical wireless transport network architecture scheme that will cater for loT as well as networks beyond 5G. We thus propose an innovative Optical-Backhaul and Wireless Access (OBWA) network architecture as a favorable solution for future networks. We further present a joint channel and route allocation (JCRA) scheme for achieving optimal quality of experience. performance evaluation of the proposed JCRA scheme for OBW A network architecture show a significant improvement in the network throughput as well as the network end-to-end delay despite varying load traffic or varying flow channels. © 2023 IEEE.

关键词： network architecture

来源：评论

学校读者我要写书评

暂无评论

A Lightweight Obfuscated Malware Multi-class Classifier for IoT Using Machine Learning

A Lightweight Obfuscated Malware Multi-class Classifier for ...

引用

International conference on Computing, networking and Communications (ICNC)

作者： Cassel, William Majd, Nahid Ebrahimi Calif State Univ San Marcos Dept Comp Sci & Informat Syst San Marcos CA 92096 USA

ISBN: (纸本)9798350371000;9798350370997

The rapidly growing number of obfuscated malware attacks in the past few years has emerged as a significant threat for organizations and individuals, demanding prompt action to develop systems that accurately detect these attacks to block them or mitigate their impacts. These types of malwares use obfuscation techniques to hide their malicious functionalities from intrusion detection systems, which makes their detection more complicated than regular malwares. Most of the obfuscated malware detection systems primarily focus on binary classification. The existing multi-class classification methods mainly have used CNN-based deep learning to improve the model's accuracy. However, this approach is not suitable for resource constrained network nodes, such as IoT devices, which are widely used on the internet to monitor and control different environments. To tackle this issue, in this paper, we propose a lightweight model that accurately and efficiently classifies benign traffic vs. different classes of obfuscated malwares. Our proposed model uses a hybrid method of SMOTE oversampling to synthetically create training records for the minority classes in combination with undersampling the majority class via Tomek Links algorithm to increase the model's performance in malware classification. W applied this hybrid data augmentation technique to our training dataset extracted from CIC-MalMem2022 dataset to build a Random Forest model. Our experimental results demonstrated that the proposed model outperforms the state-of-the-art with 87.1% accuracy in classifying obfuscated malwares.

关键词： Obfuscated Malware Classification network security Machine Learning Data Augmentation

来源：评论

学校读者我要写书评

暂无评论

4th International conference on internet of Things and Smart City, IoTSC 2024

4th International Conference on Internet of Things and Smart...

引用

4th International conference on internet of Things and Smart City, IoTSC 2024

ISBN: (纸本)9781510681767

The proceedings contain 109 papers. The topics discussed include: real-time random body motion elimination based on phase compensation and recurrent neural network prediction;comprehensive calibration and test system for UAVs;exploring the learning approach of multi-UAV task allocation through Voronoi diagram generation;attention-based structural analysis point cloud completion network;consensus iterative learning control for multi-agent systems with non-repetitive perturbations;learn and evolve to optimize robot morphologies;detection of COVID-19 based on attention mechanism and residual network;multimodal fusion contrastive learning framework based on insole and wristband;deep reinforcement learning-based task offloading and service caching in vehicular edge computing;and detection performance analysis of focused beam-forming for acoustic long horizontal array.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data Fusion Algorithm in Agricultural internet of Things System 3

Data Fusion Algorithm in Agricultural Internet of Things Sys...

引用

3rd International conference on Integrated Circuits and Communication systems, ICICACS 2025

作者： Wang, Fang School of Business Changchun College of Electronic Technology Changchun China

ISBN: (纸本)9798331508456

Agricultural production relies on a large number of sensors to obtain environmental data, and how to effectively integrate this data has become a major challenge in current agricultural IoT applications. Therefore, this article proposes a novel data fusion algorithm. Firstly, the weighted average method is used to preliminarily fuse data from different types of sensors;Then, deep neural networks (DNNs) are used to further extract potential features from the fused data. Finally, the weighting strategy and network model were optimized through experiments. The experimental results indicate that the research method performs well in terms of accuracy, spatiotemporal consistency, and real-time performance. Compared with the weighted average method, this research method reduced the mean square error (MSE) by about 29% and increased the dynamic time warping (DTW) score by about 40.7%. The results verified that the method is practical in improving data quality and suitable for large-scale data processing in agricultural IoT. © 2025 IEEE.

关键词： Sensor data fusion

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 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：