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

15,415 篇 会议
108 册 图书
104 篇 期刊文献

馆藏范围

15,626 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,112 篇 工学
- 5,185 篇 计算机科学与技术...
- 3,974 篇 软件工程
- 3,849 篇 控制科学与工程
- 2,643 篇 电气工程
- 1,579 篇 信息与通信工程
- 1,267 篇 机械工程
- 1,258 篇 电子科学与技术（可...
- 970 篇 动力工程及工程热...
- 751 篇 生物工程
- 705 篇 生物医学工程（可授...
- 624 篇 仪器科学与技术
- 542 篇 化学工程与技术
- 515 篇 交通运输工程
- 469 篇 光学工程
- 375 篇 安全科学与工程
- 348 篇 力学（可授工学、理...
- 309 篇 材料科学与工程（可...
- 298 篇 土木工程
4,154 篇 理学
- 2,108 篇 数学
- 1,204 篇 物理学
- 809 篇 生物学
- 722 篇 系统科学
- 525 篇 统计学（可授理学、...
- 486 篇 化学
1,746 篇 管理学
- 1,341 篇 管理科学与工程(可...
- 580 篇 工商管理
- 491 篇 图书情报与档案管...
504 篇 医学
- 459 篇 临床医学
- 410 篇 基础医学(可授医学...
- 302 篇 药学(可授医学、理...
243 篇 经济学
230 篇 法学
205 篇 农学
104 篇 教育学
53 篇 军事学
36 篇 文学
18 篇 艺术学

主题

817 篇 control systems
701 篇 automatic contro...
313 篇 computer science
304 篇 computational mo...
275 篇 mathematical mod...
259 篇 automation
231 篇 real-time system...
223 篇 computer archite...
202 篇 neural networks
198 篇 internet of thin...
159 篇 monitoring
150 篇 optimization
149 篇 deep learning
148 篇 process control
146 篇 switches
146 篇 automatic voltag...
145 篇 stability analys...
141 篇 accuracy
141 篇 cloud computing
137 篇 application soft...

机构

105 篇 school of automa...
85 篇 lovely professio...
34 篇 school of electr...
31 篇 department of co...
29 篇 department of el...
29 篇 mlr institute of...
28 篇 department of el...
27 篇 chitkara univers...
24 篇 college of medic...
24 篇 department of el...
23 篇 department of el...
21 篇 college of elect...
21 篇 radiology techni...
20 篇 galgotias univer...
19 篇 centro de invest...
19 篇 school of optica...
19 篇 college of elect...
18 篇 new horizon coll...
17 篇 department of au...
17 篇 school of electr...

作者

25 篇 singh bhim
22 篇 g. silva-navarro
20 篇 mengchu zhou
19 篇 k.g. shin
19 篇 wang wei
17 篇 loukianov alexan...
15 篇 kang hee-jun
15 篇 wang jing
15 篇 yang yang
15 篇 m. a. reyes-barr...
14 篇 silva-navarro g.
14 篇 j.a. moreno-cade...
14 篇 valeriy vyatkin
14 篇 l. leija
13 篇 alexander g. lou...
13 篇 liu yang
12 篇 leija l.
12 篇 liu jun
12 篇 manish gupta
10 篇 flores-nava l.m.

语言

13,474 篇 英文
2,044 篇 其他
185 篇 中文
2 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15627 条记录，以下是1821-1830 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：

Research on Inverter control System of Flip Fixture 2

Research on Inverter Control System of Flip Fixture

引用

2nd international conference on electrical engineering and control science, IC2ECS 2022

作者： Wang, Shangang Zhang, Shuang Fu, Hudai Yi, Wan Wang, Ye Changchun Institute of Technology School of Mechatronic Engineering Changchun130012 China

ISBN: (纸本)9798350399165

This paper draws on the strategic goal of 'Made in China 2025' to promote the process of industrialization and modernization and realize part of the intelligent transformation of the traditional factory production model. The inverter control system of the flip fixture is designed to realize automation based on the requirements of the enterprise. This paper introduces the control system of the flip fixture. The programmable controller 6ES7 214-1AD23-OXB8 is used as the main control device. And the inverter is used to control the direction, speed, frequency and amplitude of the motor. In this way, the period of the moving magnetic field is set to control the motor speed smoothly. The control system achieves the automatic flipping of the flip fixture through the inverter, which reflects the safety, efficiency and reliability. © 2022 IEEE.

关键词： control systems

来源：评论

学校读者我要写书评

暂无评论

The Preparation Method, Resistive Switching Mechanism and Application Prospects of Memristor 7

The Preparation Method, Resistive Switching Mechanism and Ap...

引用

7th international conference on electrical, Mechanical and Computer engineering, ICEMCE 2023

作者： Li, Jiao Zhao, Ximei Lei, Tengfei Chai, Lin Wang, Shi Yu, Yuna Collaborative Innovation Center of Memristive and Computing Application Qilu Institute of Technology Jinan250200 China School of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China College of Computer and Communication Engineering Qilu Institute of Technology Jinan250200 China

ISBN: (纸本)9798350382877

Memristors have also become one of the most promising research hotspots for solving data storage and computing problems faced in the big data era. As an emerging electronic device, memristor has potentially important applications in information storage and processing. This paper constructs a rod-shaped TiO2-x nanoscale memristor with FTO/TiO2-x/Cu structure, whose reliability is based on the memory behavior and its conversion mechanism. Research progress including materials, preparation methods, resistive switching mechanism and application prospects are described. First, the constituent materials of memristor are introduced, focusing on metal oxides and organic materials such as titanium oxide (TiO2). The choice of these materials is critical to memristor performance and applications. Secondly, the advantages and limitations of the preparation methods are discussed. Then the resistance switching mechanism of memristor was studied in depth, focusing on the generation principle and adjustment mechanism of memristor effect. These include important concepts such as charge migration, Schottky barrier formation and oxygen vacancy drift, which help to understand the electrical properties of memristors. In addition, we explore the prospects of memristors in practical applications. Finally, past and current work in this field is summarized, and the prospects and challenges of memristorrelated research are prospected. © 2023 IEEE.

关键词： Memristors

来源：评论

学校读者我要写书评

暂无评论

Optimization Scheme for Power Transmission in Wireless Sensor Network

Optimization Scheme for Power Transmission in Wireless Senso...

引用

2023 international conference on Power, Instrumentation, Energy and control, PIECON 2023

作者： Yadav, Anshul Kumar Sharma, Akshita Yadav, Anurag Vijayvargiya, Ankit Saxena, Aakash Kumar, Rajesh Electrical Engineering Swami Keshvanand Institute of Technology Management and Gramothan Jaipur India VIT Bhopal University School of Computing Science and Engineering Madhya Pradesh India Electrical Engineering Malaviya National Institute of Technology Jaipur India

ISBN: (纸本)9798350399769

Wireless Sensor Networks (WSNs) are networks of sensors that can sense a dynamic process and send the measured data over a common channel to a central base station. As the number of devices increases exponentially, the energy efficiency of WSN clusters needs to be considered. The transmission power refers to the total allowable output power of the sensors to send information packets. Consider the power transmission problem for a fully connected cluster, with the goal of finding the minimum transmission power for each node in a given cluster without disrupting the network. In order to obtain a more effective optimal solution for the mentioned problem, ten different cases are studied using five optimization algorithms. The optimization algorithm is repeatedly tested to find the global minima of the fitness function. The study emphasises that the artificial ecosystem optimizer is the best fit for the mentioned model in all 10 cases. The average energy saved in transmission by the best performing algorithm is about 6.4 dBm. © 2023 IEEE.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Follow me droney! Will UWB technology do it right? 12

Follow me droney! Will UWB technology do it right?

引用

12th Asia conference on Mechanical and Aerospace engineering, ACMAE 2021

作者： Hanzel, Krzysztof Department of Electronics Electrical Engineering and Microelectronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

Object tracking for consumer drones is currently a rapidly developing technology. Its implementation is currently carried out with the use of object-in-image detection, which often limits the latest possibilities of this technology. The disadvantage of such a solution is also the increase in energy demand and the need to provide additional computing power, or delays resulting from the transfer of this operation to the control device. The proposed solution to this problem in this article is the use of UWB (Ultra-wideband) technology, which is increasingly appearing in consumer devices. The possible yield related to the accuracy of determining the position of the object as well as the experimentally determined frequency of receiving information about the position was presented. Additional advantages, such as resistance to NLOS (non-line of sight) conditions, were also presented. © Published under licence by IOP Publishing Ltd.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Intelligent Network Architecture for Home Automation and Efficient Solution for Appliance control in Smart Grid 4

Intelligent Network Architecture for Home Automation and Eff...

引用

4th international conference on electrical, Computer and Telecommunication engineering, ICECTE 2022

作者： Al Mamun, Abdullah Jewel, Mehedi Hasan Paul, Parag Kumar Rahin, Saima Ahmed Bangladesh Army International University of Science and Technology Department of Electrical and Electronic Engineering Cumilla Bangladesh United International University Department of Computer Science and Engineering Dhaka Bangladesh United International University Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350320541

The field of 'Internet of Things' (IoT) technology is exploding because of the quick advancements in automation technologies, embedded systems, and networking. It has become an integral part of Home Automation which is the combination of sensor networks, cloud computing, monitoring, and control. This paper discusses networking and provides two distinct methods for managing network-connected appliances as well as two different strategies for controlling the connected appliances and devices resulting in the enhancement of the system's robustness and overall stability. LoRa and 2.4GHz Wi-Fi technology have been used for the networking architecture of the appliances. Direct load control and phase angle-based voltage control methods are designed and developed for controlling the connected appliances. The distinct wireless technologies increase the stability of data transmission while ensuring minimum power consumption. AC voltage control methodology followed in this research also improves the robustness of the control systems. A mobile application platform is also developed and presented in this paper which is used to monitor and control the appliances, also known as sensor nodes. © 2022 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Learning to Hybrid Offload in Space-Air-Ground Integrated Mobile Edge computing for IoT Networks 13

Learning to Hybrid Offload in Space-Air-Ground Integrated Mo...

引用

13th IEEE international conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Zhang, Xuhui Liu, Wenchao Xing, Huijun Jin, Zhenzhen Zang, Weilin Wang, Shuqiang Shen, Yanyan Xue, Liang The Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese Univ of Hong Kong Shenzhen China Chinese Academy of Sciences Shenzhen China SIAT Chinese Academy of Sciences Shenzhen China Shenzhen China SSE FNii The Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese Univ of Hong Kong Shenzhen China SUSTech Shenzhen China School of Information and Electrical Engineering Hebei University of Engineering Handan China

ISBN: (纸本)9798350315196

Recently, space-air-ground integrated network (SAGIN) has garnered considerable interest from both academia and industry due to its broad-coverage and high-reliability features collaborated by low earth orbit (LEO) satellites, unmanned aerial vehicles (UAVs), and ground devices. In the meantime, the integration of SAGIN with other emerging communication technologies is promising for research and applications. Mobile edge computing (MEC) enables the resource limited devices, i.e., the Internet of things (IoTs) devices, to offload their data packet to the data processing center for computing. In this paper, a space-air-ground integrated MEC network is studied, where the UAV and satellite are capable for providing computing services to IoT devices. All IoT devices could split their data packet for local computing and offloading. The IoT devices can communicate with the UAV by active mode and/or passive mode through backscatter communication. The utility efficiency maximization problem that jointly considers the data volume, time latency, and energy consumption is formulated. As the problem is nonconvex and can not be addressed by conventional methods, a deep reinforcement learning based method is proposed to acquire the data offloading policy. Numerous numerical results confirm the effectiveness and robustness of the proposed method compared to other benchmark methods. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Social Media Event Summarization using Neural Networks 3

Social Media Event Summarization using Neural Networks

引用

3rd international conference on Smart Technologies in computing, electrical and Electronics, ICSTCEE 2022

作者： Yadala, Sucharitha Gurram, Anitha Yamunadevi, S. Veeresh, U. Latha, S Bhargavi Chitti, T.N. VNR Vignana Jyothi Institute of Engineering and Technology Computer Science and Engineering Hyderabad India CMR Institute of Technology Computer Science and Engineering Hyderabad India Panimalar Engineering College Computer Science and Engineering Tamilnadu India School of Computer Science and Engineering REVA University Karnataka Bengaluru India Kalasalingam Academy of Research and Education Krishnankoil India

ISBN: (纸本)9781665456647

Micro blogging sites have become extremely popular, with a huge number of tweets being posted daily on a broad assortment of subjects. Recent studies have exposed that a significant part of these tweets are regarding 'events', and the discovery of new events in the tweet-stream has pulled in a lot of attention. In the Natural Language Processing (NLP) field, automatic text summarization is viewed as an extremely tricky problem. The content substance on the internet, specifically, is rising at an outstanding level. The capacity to decode through such immense volumes of data, to facilitate mine the require knowledge, is a foremost undertaking and needs an automatic system to serve with the present warehouse of data. A decent text summarization framework should comprehend the entire content, reorganize information, and create coherent, useful and amazingly tiny summaries to pass on the significant information of the innovative content. In this article, an inventive content summarization framework has been built, which combines RNN with LSTM and encoder-decoder structure. Our framework is assessed on the LCSTS dataset, which is an excellent corpus of Chinese short content summarization dataset created from 'SinaWeibo'. Empirical outcomes exhibit the adequacy of the proposed framework, which outperforms all the existing approaches. Particularly, the proposed framework enhances the semantic consistency by 5% in terms of human assessment. © 2022 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Application of Improved PilotNet Intelligent Traffic Algorithm Based on Baidu PaddlePaddle 6

Application of Improved PilotNet Intelligent Traffic Algorit...

引用

6th international conference on Information Communication and Signal Processing, ICICSP 2023

作者： He, Huifang Zhuang, Tingting School of Information Engineering Guangdong Engineering Polytechnic Guangzhou China School of Data Science and Engineering Xingzhi College South China Normal University Shanwei China

ISBN: (纸本)9798350339994

In view of the complexity of current traffic scenes, the rapid development of intelligent transportation applications and the improvement of domestic platforms, this paper combines the current mainstream deep learning algorithms to recognize the road line with the PilotNet model improved by BatchNorm and Dropout technologies under the Baidu PaddlePaddle framework, and to detect the traffic signs with the YOLOv3 Tiny model. Due to the limited hardware system resources and the real-time nature of automatic driving, finally, the two types of models are deployed to the Edge Board computing box. In the application of intelligent transportation, single-thread technology cannot respond to the real-time nature of automatic driving, and thread blocking has a great impact. After comparison, dual-thread technology is adopted. Data processing is carried out by capturing the moving image of the car and the control value, and the experiment is completed. In the experiments, the smart car can recognize the traffic signs at a speed of around 0.01s per frame and finish model loading and making decision after the recognition of traffic scenes in 34.86s, which shows that the trained neural network models all have lightweight characteristics and can meet the system application with limited resources. © 2023 IEEE.

关键词： Baidu PaddlePaddle Edge board intelligent transportation PiiotNet YOLOv3 Tiny

来源：评论

学校读者我要写书评

暂无评论

Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset

Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM...

引用

international conference on electrical engineering, computing science and automatic control (CCE)

作者： Zareen Tasnim Pear Hafsa Binte Kibria Department of Electrical & Computer Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh

ISBN: (数字)9798350377545

ISBN: (纸本)9798350377552

In the era of rapid technological advancements, data and information have become significant assets that require continuous protection from unauthorized access and malicious attacks. Network Intrusion Detection Systems (NIDS) can effectively manage the increasing data demands assuring robust security. However, traditional or manual methods are often inadequate to cope with the sophisticated and evolving nature of cyber threats due to their inability to quickly process large volumes of data. Traditional machine learning models are widely used for this purpose. Recently deep learning approaches have become popular in classification tasks showing promising results. This paper introduces a hybrid deep-learning approach for detecting various network intrusions using binary and multi-class (ten classes) classification on the well-known UNSW-NB15 dataset. The proposed hybrid CNN-LSTM model demonstrates significant improvements in intrusion detection, achieving an accuracy of 97.19% for binary classification and 87.70% for multi-class classification, particularly in handling complex attack patterns and reducing false positives. Evaluated using metrics such as precision, recall and F1-score, the model consistently performs robustly across nine distinct attack categories. These results highlight the model's effectiveness in establishing enhanced network security.

关键词： Deep learning Measurement Accuracy Transfer learning Network intrusion detection Telecommunication traffic Network security Feature extraction Convolutional neural networks Protection

来源：评论

学校读者我要写书评

暂无评论

Adaptive Bipartite Consensus of Linear Multi-agent Systems Under Jointly Connected Topologies

Adaptive Bipartite Consensus of Linear Multi-agent Systems ...

引用

international conference on Guidance, Navigation and control, ICGNC 2022

作者： Yuan, Yi Sainin, Mohd Shamrie Tang, Lili Faculty of Computing and Informatics Universiti Malaysia Sabah Kota Kinabalu Sabah88400 Malaysia College of Computer Science Hunan University of Technology Zhuzhou412008 China

ISBN: (纸本)9789811966125

In this paper, bipartite consensus is discussed for multi-agent systems (MASs) under jointly connected switching topologies. An adaptive bipartite consensus protocol is proposed for MASs under jointly connected topologies. Under the proposed protocol, bipartite consensus can be realized with some fully conditions. Finally, a simulation example is shown to verify the theoretical results. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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 << < 179 180 181 182 183 184 185 186 187 188 > >>

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：