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

9,914 篇 会议
568 篇 期刊文献
36 篇 学位论文
35 册 图书

馆藏范围

10,553 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

5,926 篇 工学
- 3,987 篇 计算机科学与技术...
- 2,475 篇 信息与通信工程
- 2,006 篇 电气工程
- 1,915 篇 软件工程
- 1,252 篇 控制科学与工程
- 347 篇 电子科学与技术（可...
- 344 篇 机械工程
- 238 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...
- 92 篇 土木工程
- 81 篇 建筑学
- 80 篇 安全科学与工程
1,160 篇 理学
- 587 篇 数学
- 328 篇 物理学
- 180 篇 系统科学
- 172 篇 统计学（可授理学、...
- 162 篇 生物学
1,124 篇 管理学
- 1,007 篇 管理科学与工程(可...
- 296 篇 工商管理
- 186 篇 图书情报与档案管...
166 篇 医学
- 139 篇 临床医学
- 73 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
38 篇 教育学
36 篇 农学
25 篇 文学
16 篇 军事学
4 篇 艺术学

主题

1,895 篇 quality of servi...
964 篇 internet
872 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
437 篇 throughput
368 篇 delay
367 篇 resource managem...
343 篇 web and internet...
339 篇 routing
290 篇 real-time system...
267 篇 streaming media
245 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...
10 篇 school of inform...
9 篇 department of sy...
9 篇 shanghai jiao to...
9 篇 beijing jiaotong...
9 篇 china industrial...
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

10,256 篇 英文
205 篇 其他
90 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 10553 条记录，以下是431-440 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：

Efficiency and Reliability Enhancement in HVDC-VSC Power Transmission network with control and Planning Strategies 7

Efficiency and Reliability Enhancement in HVDC-VSC Power Tra...

引用

7th International conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Satish, Y. Shyam, P. Aravind, S. Chandana, V. Geetha Lakshmi, V. Sai Prasad v Potluri Siddhartha Institute of Technology Dept of Electrical and Electronics Engineering Vijayawada India

ISBN: (纸本)9798350372816

The significant roles, technical advantages, and high efficiency of High Voltage Direct Current (HVDC) systems have led to their global application. In most cases, the HVDC network improves the utilization of HVAC systems by connecting two distinct but complementary technical features. A regulated converter circuit serves as the join point system for connecting HVAC lines to HVDC. There are detrimental impacts on the electrical power quality of the systems linked on either end of the HVDC network, despite the use's significance and the link's considerable advantages. Both conventional and alternative approaches have been considered and implemented to improve the electrical grid's subpar performance. On the other hand, the system typically has to synthesise the assumption of load circumstances in order to make the improvement. This study introduces a novel approach that makes use of a real-time control mechanism. With the help of the EMTDC model, the controller is utilized, and its capacity to monitor setpoints associated with active power, reactive power, and other variables that are appropriate is evaluated. Considering the effectiveness of the suggested superior outcomes are achieved by the controller proposed in the work, which had a greater margin of stability and a shorter time having optimized response for the system. © 2024 IEEE.

关键词： HVDC power transmission

来源：评论

学校读者我要写书评

暂无评论

Hybrid Feature Selection Framework for Building Resource Efficient Intrusion Detection systems Model in the internet of Things 23

Hybrid Feature Selection Framework for Building Resource Eff...

引用

8th International conference on Sustainable Information Engineering and Technology, SIET 2023

作者： Fatyanosa, Tirana Noor Data, Mahendra Faculty of Computer Science Brawijaya University Malang East Java Indonesia

ISBN: (纸本)9798400708503

The internet of Things (IoT) infrastructure exhibits numerous security vulnerabilities which have led to an increasing number of cyber-attacks. This problem has led to the development of Intrusion Detection systems (IDSs) explicitly tailored for detecting cyber-attacks on IoT infrastructure, particularly IDSs that utilize machine learning models. To achieve high-performance machine learning models, the training data is pivotal. However, IoT infrastructure has limited computational resources, especially CPU, memory, and power. One solution is reducing the amount of data by selecting only certain features that have a significant impact on the quality of the machine learning models. This study proposes a novel hybrid framework to select the important features to build an efficient IDS model for IoT using the XGBoost algorithm. The performance of the proposed framework was rigorously tested using the network TON-IoT dataset, which is specifically designed to develop IDSs for IoT infrastructure. The experimental results show that our proposed framework yields machine-learning models with optimal performance while conserving computational resources. Through the implementation of our framework, we achieve a substantial reduction in features by 78.95%, coupled with a 3.18% Macro F1-score improvement. Furthermore, the framework also yields significant reductions in training, validation, and testing durations by 53.25%, 41.94%, and 47.06%, respectively. Also, it yields a model with impressive reductions in memory usage by 81.82%. © 2023 ACM.

关键词： internet of things

来源：评论

学校读者我要写书评

暂无评论

performance Optimization in Transition Toward Open Industrial control systems 31

Performance Optimization in Transition Toward Open Industria...

引用

31st International conference on Software, Telecommunications and Computer networks, SoftCOM 2023

作者： Sverko, Mladen Grbac, Tihana Galinac Huljenic, Darko Danieli-Systec D.o.o. Part of Danieli C. S.p.A. Labin Croatia Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Juraj Dobrila University of Pula Department of Engineering Pula Croatia Ericsson Nikola Tesla D.d Zagreb Croatia

ISBN: (纸本)9798350301076

Digital transformation implies the comprehensive availability of data generated by the underlying process through-out the entire enterprise. In this regard, production facilities, i.e. industrial control systems (ICS) face significant challenges arising from the gradual transition toward a smart factory concept under the Industry 4.0 paradigm. This is particularly emphasized on the production floor which includes legacy devices with a lifetime spanning decades. Thus, a gradual and partial ICS transformation is required through multiple iterations over a long period of time. Such transition results in parallel data flows and increased network traffic over TCP/IP due to the partial integration of legacy systems into the Industrial internet of Things (IIoT) network. In this paper, we propose traffic load reduction via optimal structuring of data flow sent via TCP/IP network. We have validated our approach by conducting performance tests on real hardware devices evaluating the device behavior in relation to different payloads and data transmission cycles. © 2023 University of Split, FESB.

关键词： Legacy systems

来源：评论

学校读者我要写书评

暂无评论

Using a Convolutional Neural network to Map Defects in Wide Bandgap Semiconductors at a Wafer Scale 76

Using a Convolutional Neural Network to Map Defects in Wide ...

引用

76th Annual IEEE National Aerospace and Electronics conference (NAECON)

作者： Gallagher, James C. Mahadik, Nadeemullah A. Stahlbush, Robert E. Hobart, Karl D. Mastro, Michael A. US Naval Res Lab Elect Sci & Technol Div Washington DC 20375 USA

ISBN: (纸本)9798350367638;9798350367621

Wide bandgap semiconductors theoretically have the potential to surpass current Si-based technology in high-power electronics applications due to improvements in size, weight, and power. However, the current state-of-the-art wafers present significant challenges: they contain a large number of threading dislocations, basal plane dislocations, stacking faults, polytype inclusions, and screw dislocations. These structural imperfections are detrimental as they can induce electron and hole carrier scattering, subsequently impairing device performance. Addressing this critical issue, this research introduces a new approach using a convolutional neural network (CNN). This machine learning model is specifically trained to accurately identify and quantify dislocation defects. The ability to precisely and efficiently count dislocations represents a significant step towards enhancing quality control processes in the manufacturing of wide bandgap semiconductor-based electronic devices. By mitigating the adverse effects of dislocations on device performance, our findings contribute to the advancement of novel semiconductor devices, enabling a pivotal shift from traditional Si-based systems.

关键词： Stacking faults

来源：评论

学校读者我要写书评

暂无评论

Illuminating the Future: A Smart Street Light controlling and Monitoring System Using internet of Things Enabled Smart Sensors 9

Illuminating the Future: A Smart Street Light Controlling an...

引用

9th International conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024

作者： Sujatha, V. Sridevi, V. Sumitha, S. Vidhya, N. Amirtha, M. Dakshinamoorthi, D. S.A. Engineering College Department of Master of Computer Applications Chennai India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365092

The Smart Street Light controlling and Monitoring System using internet of Things (IoT) presents an innovative approach to urban lighting management, aiming to enhance energy efficiency, improve safety, and streamline maintenance operations. This system integrates IoT technology with advanced sensors, a central control unit, and intelligent algorithms to automate street lighting based on real-time environmental conditions and user-defined parameters. Through a network of interconnected devices, the system continuously monitors ambient light levels and detects motion to dynamically adjust street lighting intensity. Additionally, remote accessibility enables authorities to monitor system performance, adjust lighting schedules, and receive alerts for maintenance needs or malfunctions. By optimizing energy consumption and improving visibility, this system contributes to sustainable urban development and enhances overall quality of life in urban areas. © 2024 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Intelligent Agriculture Using Machine Learning and internet of Things

Intelligent Agriculture Using Machine Learning and Internet ...

引用

2023 International conference on Data Science and network Security, ICDSNS 2023

作者： Harakannanavar, Sunil S. Joshitha, T. Thejashree, V. Dedipya Nitte Meenakshi Institute of Technology Department of Electronics and Commuication Engineering Bangalore India

ISBN: (纸本)9798350301595

The paper highlights the application of smart farming in the agricultural sector, leveraging the capabilities of machine learning (ML) and the internet of Things (IoT). The paper proposes the use of ML and computer vision techniques to classify different sets of crop photographs. This technology aids in monitoring crop quality and evaluating yield by analyzing metrics such as crop health, disease detection, and growth patterns. The main challenges faced by the agricultural sector include identifying leaf diseases in affected areas and rapidly improving both crop output and quality. The IoT plays a crucial role in modernizing agriculture by providing farmers with a diverse range of technological tools for gathering information on external factors that impact crop growth, such as weather conditions, soil fertility, moisture levels, and temperature. Additionally, automated systems incorporating microcontrollers and wireless sensor networks are employed to monitor and control agricultural processes, optimizing efficiency and reducing manual labor. The paper emphasizes the potential of ML, computer vision, and IoT technologies in smart farming to address agricultural challenges, increase productivity, and optimize crop management practices. By leveraging these advancements, farmers can make data-driven decisions and improve the quality and quantity of their agricultural output. © 2023 IEEE.

关键词： internet of things

来源：评论

学校读者我要写书评

暂无评论

internet of Things control Center 4

Internet of Things Control Center

引用

4th International conference on Signal Processing and Communication, ICSPC 2023

作者： Thomas, Vibha Terence, Sebastian Agrawal, Bishnu Immaculate, Jude Karunya Instittue of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India Sales - Mcaps Microsoft Technology Center Bangalore India Karunya Institute of Technology and Sciences Dept. of Mathematics Coimbatore India

ISBN: (纸本)9798350300772

The internet of Things (IoT) is a global network of 'smart gadgets' that can sense their environment, connect to them, and communicate with people and other systems. This articles presents an IoT control center that provides a comprehensive solution for managing and controlling Io devices in a network. The control center offers a user-friendly interface that enables administrators to monitor and control a wide range of devices, from a single dashboard. The IoT control center uses machine learning algorithms to analyze real-time data, enhancing device performance. The IoT control center also ensures the security of the devices and the data they generate, with the capability to identify anomalies and suspicious activity in real-time. The IoT control center in this paper emphasizes on two main use-cases namely, Smart Agriculture System, Spatial Analysis, but isn't confined to just these two use cases, in fact, proselytizes as many use cases possible into a single control center. The system provides a centralized interface for administrators to monitor, analyze and automate connected devices, enabling efficient and effective device management. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Effluent water quality prediction method based on no-inflected point neural network

Effluent water quality prediction method based on no-inflect...

引用

2022 International conference on internet of Things and Machine Learning, IoTML 2022

作者： Xue, Tonglai Gao, Tianyu Zhou, Meng Han, Fei Liu, Chun School of Electrical and Control Engineering North China University of Technology China School of Environmental Science and Engineering Hebei University of Science and Technology Shijiazhuang050018 China

ISBN: (纸本)9781510664913

In practice, the effluent quality is the most important indicator to measure the performance of wastewater treatment. However, most existing sensing technology are difficult to maintain the real-time accurate of online monitoring. In his paper, a novel no-inflection point neural network (NI-BP) with adaptive learning rate is proposed for wastewater quality indicators prediction. The proposed algorithm updates the weight parameters by an adaptive learning rate method when some inflection points are detected, it can increase the weight iteration step size and make the network converge quickly. In the simulation examples, the data from Benchmark simulation model NO.1 (BSM1) are used to demonstrate the effectiveness of the proposed method. The results show that the proposed NI-BP can significantly accelerate the model training efficiency and the prediction accuracy, simultaneously. © 2023 SPIE.

关键词： Wastewater treatment

来源：评论

学校读者我要写书评

暂无评论

Joint Energy Harvesting, Semantic Transmission Selection, Channel Allocation and Power control for Resource-Constrained IoT networks 99

Joint Energy Harvesting, Semantic Transmission Selection, Ch...

引用

IEEE 99th Vehicular Technology conference (VTC-Spring)

作者： Sang, Nguyen Huu Hai, Nguyen Duc Anh, Nguyen Duc Duy Luong, Nguyen Cong Gong, Shimin Niyato, Dusit PHENIKAA Univ Fac Comp Sci Hanoi 12116 Vietnam Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou 510275 Peoples R China Nanyang Technol Univ Coll Comp & Data Sciene Singapore 639798 Singapore

ISBN: (纸本)9798350387414

In this work, we propose the use of energy harvesting and semantic communication for internet of Things (IoT) systems. The system allows IoT devices to harvest energy from a base station and then uses the harvested energy for extracting and transmitting semantic information, i.e., scene graphs, to the base station. The proposed network thus copes with the energy and network resource constraints of the IoT devices. To maximize the total image data or scene graph transmitted to the base station, we formulate a problem that optimizes the energy harvesting duration, the selection of original image or portions of scene graphs, transmit power, and channel allocation to the IoT devices. Under the high dynamics and uncertainty of the context and size of the collected images as well as the wireless channels and computing resources, we propose two advanced deep reinforcement learning (DRL) algorithms, i.e., advantage Actor-Critic (A2C) and proximal policy optimization (PPO), to solve the problem. Simulation results are implemented on the real dataset clearly showing that the performance achieved by the proposed algorithms is much higher than that achieved by the baseline scheme. This implies that more original images or triplets are transmitted.

关键词： Semantic communication energy harvesting channel allocation power control IoT reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

A Smart Home Design with Intelligent Patient Monitoring Features by Using internet of Things (IoT) Enabled Communication Technology

A Smart Home Design with Intelligent Patient Monitoring Feat...

引用

2024 International conference on Innovative Computing, Intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Prince, P. Rajabhushanam, C. Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331543617

The integration of internet of Things (IoT) technology into smart home systems has revolutionized patient monitoring by providing real-time health insights and automated environmental adjustments. This study focuses on designing and evaluating a smart home system with intelligent patient monitoring features, aimed at enhancing patient safety, comfort, and healthcare delivery. The system employs a network of IoT-enabled devices, including wearable health sensors, environmental monitors, and smart cameras, to track vital signs such as ECG, SPO2, and body temperature, along with environmental parameters like air quality, humidity, and temperature. The system achieved a high accuracy rate, with vital sign sensors demonstrating over 98% reliability across various metrics. A communication framework using Wi-Fi and MQTT protocols ensures seamless data transfer and real-time responsiveness. Edge computing enables low-latency data processing, while cloud analytics provide predictive insights for early health issue detection. Key findings demonstrate the system's efficiency in emergency response, with an average detection-to-alert time of 1.4 seconds, and its ability to adapt the environment based on health conditions with over 95% precision. Automated features such as temperature control, fall detection, and personalized lighting enhance patient care and well-being. This work underscores the transformative potential of smart home technologies in healthcare, paving the way for future advancements in personalized health monitoring systems. © 2024 IEEE.

关键词： Electronic health record

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 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：