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

1,526 篇 会议
4 册 图书
2 篇 期刊文献

馆藏范围

1,532 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,137 篇 工学
- 965 篇 计算机科学与技术...
- 824 篇 软件工程
- 269 篇 信息与通信工程
- 207 篇 控制科学与工程
- 170 篇 生物工程
- 150 篇 电气工程
- 91 篇 电子科学与技术（可...
- 84 篇 动力工程及工程热...
- 81 篇 生物医学工程（可授...
- 75 篇 机械工程
- 66 篇 光学工程
- 64 篇 安全科学与工程
- 54 篇 交通运输工程
- 38 篇 化学工程与技术
- 34 篇 环境科学与工程（可...
- 29 篇 仪器科学与技术
537 篇 理学
- 258 篇 数学
- 180 篇 生物学
- 120 篇 物理学
- 77 篇 统计学（可授理学、...
- 69 篇 系统科学
- 41 篇 化学
317 篇 管理学
- 208 篇 管理科学与工程(可...
- 138 篇 图书情报与档案管...
- 122 篇 工商管理
70 篇 法学
- 59 篇 社会学
59 篇 医学
- 55 篇 临床医学
- 51 篇 基础医学(可授医学...
- 34 篇 药学(可授医学、理...
52 篇 经济学
- 52 篇 应用经济学
24 篇 农学
19 篇 教育学
6 篇 文学
5 篇 军事学

主题

35 篇 software
32 篇 internet of thin...
32 篇 computer softwar...
27 篇 application soft...
26 篇 computer archite...
24 篇 software enginee...
24 篇 real-time system...
20 篇 deep learning
20 篇 cloud computing
20 篇 computer vision
19 篇 computational mo...
17 篇 costs
17 篇 convolutional ne...
16 篇 feature extracti...
16 篇 machine learning
16 篇 training
15 篇 programming
15 篇 recommender syst...
14 篇 computer science
14 篇 object detection

机构

22 篇 wuhan donghu uni...
17 篇 school of comput...
8 篇 school of cyber ...
8 篇 school of inform...
8 篇 university of ta...
8 篇 school of electr...
7 篇 school of comput...
7 篇 college of compu...
6 篇 school of electr...
6 篇 school of electr...
6 篇 school of automa...
6 篇 school of inform...
5 篇 chitkara univers...
5 篇 beijing key labo...
5 篇 beijing universi...
4 篇 college of engin...
4 篇 school of comput...
4 篇 school of big da...
4 篇 school of comput...
4 篇 beijing engineer...

作者

8 篇 lian ren-zun
7 篇 zhang bo
5 篇 wang jing
5 篇 li zixin
5 篇 li jiawen
5 篇 li jianqiang
4 篇 mirchandani sanj...
4 篇 liang meiyu
4 篇 zhang rui
4 篇 surendran r.
4 篇 chen xiangning
4 篇 li weixin
4 篇 li jian
4 篇 zhang li
4 篇 liu hai
4 篇 meiyu liang
3 篇 wang lei
3 篇 yawen li
3 篇 li yang
3 篇 dai fei

语言

1,513 篇 英文
16 篇 中文
14 篇 其他
3 篇 土耳其文
1 篇 德文

检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 条记录，以下是11-20 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：

Prescribed-Time Order-Preserved Consensus of Multi-agent systems 8th

Prescribed-Time Order-Preserved Consensus of Multi-agent Sy...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Zhai, Wenbiao Jia, Xinchun Li, Hongpeng Wang, Yan School of Automation and Software Engineering Shanxi University Taiyuan030031 China School of Mathematical Sciences Shanxi University Taiyuan030006 China

ISBN: (纸本)9789819602933

this paper investigates the prescribed-time (Pre-T) order-preserved (OP) consensus of multi-agent systems (MASs). First, we use a distinctive approach to define the neighbors of each agent based on the differences among agents in the index space. then, based on a time-varying scaling function (TVSF), a Pre-T controller is proposed for each agent. By using the monotone system theory, it is demonstrated that the MAS in the index space can achieve the order-preserved consensus at any Pre-T with the proposed Pre-T controller, irrespective of each agent’s initial and control conditions. Finally, numerical examples are presented to demonstrate the effectiveness of our provided method. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： System theory

来源：评论

学校读者我要写书评

暂无评论

A CFD Based Optimization of Natural Ventilation Strategy for Yungang Grottoes 8th

A CFD Based Optimization of Natural Ventilation Strategy for...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Xu, Xinrui Yan, Hongbin Liu, Tingzhang Zhang, Shaoyou Gao, Lunrui Department of Automation College of Mechatronics Engineering and Automation Shanghai University Shanghai China Cultural Heritage Protection and Monitoring Center Yungang Research Institute Shanxi Datong China

ISBN: (纸本)9789819602933

Natural ventilation is not only an energy-saving ventilation method, but also the most common way to protect cultural relics. this study aims to explore the reasonable natural ventilation modes by switching doors and windows on the eave of cave 9 and cave 10, which are located in Yungang Grottoes. Using the data at 10:00 a.m. on August 21, 2023, 324 different natural ventilation strategies are carried out to simulate the humidity field and the velocity field through the CFD software FLUENT. Finally, the random forest algorithm is used to analyze the importance of doors and windows to the environment changes inside the cave. In conclusion, transom window 2, transom window 6 and door 1 are the main factors that influence the humidity field while transom window 2 and door 1 are also the decisive factors that affect velocity field. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Caves

来源：评论

学校读者我要写书评

暂无评论

Distributed MPC Compensation-Based LFC for Heterogeneous Multi-area Interconnected Power systems 8th

Distributed MPC Compensation-Based LFC for Heterogeneous Mul...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Chi, Xiaobo Li, Xinyi Liu, Xiaolin Jia, Xinchun School of Automation and Software Engineering Shanxi University Taiyuan030031 China School of Mathematical Sciences Shanxi University Taiyuan030006 China The Key Laboratory of Complex Systems and Data Science Ministry of Education Taiyuan030006 China

ISBN: (纸本)9789819602247

this paper addresses the distributed load frequency control (LFC) problem for multi-area interconnected power systems (MAIPSs) with thermal and wind power generations, considering both inter-area and intra-area transmission delays and random packet losses induced by communication networks. Firstly, a heterogeneous framework of MAIPSs is constructed, where a networked distributed model predictive control (DMPC) scheme is proposed to compensate for transmission delays and random packet losses. Based on this framework, we then developed a distributed closed-loop LFC system model for heterogeneous MAIPS. Subsequently, a Luenberger observer is constructed to estimate the system state of the local area, and a networked feedback controller is designed to ensure stability with a certain H∞ performance level for the networked MAIPSs. Moreover, stability conditions and controller design criteria are provided by using the Lyapunov-Krasovskii stability theory. Finally, the control performance of the proposed method is verified through an example of a two-area interconnected power system. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

Dynamic Event-Triggered Load Frequency Control for Multi-Area Power systems Under Switching Cyber-Attacks 8th

Dynamic Event-Triggered Load Frequency Control for Multi-Are...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Wang, Yan Jia, Xinchun Lv, Teng Wang, Zhongbao School of Automation and Software Engineering Shanxi University Taiyuan030006 China School of Mathematical Sciences Shanxi University Taiyuan030006 China

ISBN: (纸本)9789819602247

In this paper, the decentralized dynamic event-triggered load frequency control problem for multi-area power systems under switching cyber-attacks is investigated. A new switching cyber-attack model including Denial of Service (DoS) attacks and deception attacks occurring in the sensor-to-controller channel is considered, which is characterized by being composite in both the spatial and temporal domains. the attack model is characterized by compositing in the spatial and temporal domains. To reduce the network communication burden and mitigate the impact of switching cyber-attacks on the closed-loop system, we design a decentralized dynamic event-triggering mechanism (DETM) that dynamically adjusts threshold parameters using hyperbolic tangent functions related to output measurement deviations. Further, a decentralized secure LFC scheme is developed based on periodic sampling, which can reduce the consumption of communication resources under switching network attacks and protect the security and frequency stability of the power system. Finally, the effectiveness of the proposed method is verified by a simulation case of the ieee 39 BUS test system containing 10 generating units. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Frequency stability

来源：评论

学校读者我要写书评

暂无评论

Climatic Efficiency Analysis of Ten Leading UK Offshore Wind Farms: A Data-Driven Approach 8th

Climatic Efficiency Analysis of Ten Leading UK Offshore Win...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Ma, Liyang Li, Chenyi Zhang, Long Department of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom

ISBN: (纸本)9789819602315

As wind energy becomes increasingly important in global energy systems, accurately evaluating the performance of wind farms is essential for understanding wind generation efficiency and fostering sustainable development. the aim of this paper is to assess wind power generation efficiency under different climatic wind conditions. A data-driven approach is used to simulate the power generation of ten leading wind farms in the UK, using real wind data and geographic information while considering wake effects. Furthermore, to evaluate whether these wind farms perform optimally when climate-related wind patterns change, we modify the layouts of the wind farms and compare their performance with the original designs. Extensive results from 15 years (2008 to 2023) of wind data show that the originally designed layouts of these ten leading wind farms will no longer be optimal when the wind resource changes. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Offshore wind farms

来源：评论

学校读者我要写书评

暂无评论

Low-Voltage Ride-through Strategy for Doubly-Fed Induction Generator Using Dual Series Dynamic Braking Resistors 8th

Low-Voltage Ride-Through Strategy for Doubly-Fed Induction G...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Sun, Tingting School of Electrical and Energy Engineering Nantong Institute of Technology Nantong226002 China

ISBN: (纸本)9789819602247

With the series dynamic braking resistor (SDBR) applied to assist the low-voltage ride-through (LVRT) of the doubly-fed induction generator (DFIG), its fixed resistance value fails to achieve satisfactory LVRT performances under different fault scenarios. In this paper, a novel dual SDBR scheme is designed to adapt to different scenarios and achieve optimal overall LVRT performance. Two different resistance values of the SDBR are selected and applied separately based on switching criterions considering voltage drop depth. With this scheme, the large SDBR resistance is applied under comparatively severe voltage drops to limit the inrush stator current, while the small SDBR resistance is applied under comparatively minor voltage drops to support the grid frequency during the LVRT. Feasibility and effectiveness of the dual SDBR scheme is verified based on simulation results of a DFIG-integrated power system. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Asynchronous generators

来源：评论

学校读者我要写书评

暂无评论

thermal Monitoring of Li-Ion Batteries Using Convolutional Neural Networks and Fibre Bragg Grating Sensors 8th

Thermal Monitoring of Li-Ion Batteries Using Convolutional ...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Zhang, Li Li, Kang Ma, Jingjie Jia, Xingyu Liu, Shiyun School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai201418 China School of Electronic and Electrical Engineering University of Leeds LeedsLS2 9JT United Kingdom School of Industrial and Information Engineering Politecnico di Milano Milan20133 Italy

ISBN: (纸本)9789819602315

thermal safety of Li-ion Batteries is an important issue in their applications in electric vehicles and grid-tied energy storage. thermal monitoring of Li-ion Batteries is crucial in preventing thermal failures and prolong lifetime. However, the existing temperature monitoring method are sensitive to corrosion and electromagnetic radiation, without considering the aging factor and non-electric features leading to low accuracy for full life cycle thermal monitoring of batteries under different operating conditions. To tackle the challenges, this paper presents a thermal model using convolutional neural networks incorporating FBG sensors. In order to more accurate, the attribute information fusion of non-electric variables (wavelengths) and the electric variables (voltage, current, state of charge) is developed for battery temperature monitoring in the proposed method. the experimental results based on different cells indicate that the proposed model has desirable accuracy which achieves the root mean squared error around 0.2∘C on the validation data. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

CAN Bus Attack Detection Based on Entropy and CNN-SVM 8th

CAN Bus Attack Detection Based on Entropy and CNN-SVM

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Wang, Ziqing Fang, Yuanjie Yue, Mingfei Wang, Jing College of Electrical Engineering Anhui Polytechnic University Anhui Wuhu241000 China School of Electronic Engineering Chaohu University Anhui Chaohu238024 China

ISBN: (纸本)9789819602933

the intelligent development of automobiles has increased the dependence on automotive bus networks, such as real-time power control and maneuvering control of automobiles, all of which require the use of in-vehicle networks as a medium for information transfer. Due to the lack of security measures such as information authentication and identity authentication in Controller Area Network (CAN), it is easy to be invaded by hackers. therefore, in order to improve the security communication guarantee of in-vehicle CAN network, this paper proposes a dual detection method based on the combination of information entropy and CNN-SVM. the method judges the suspicious traffic by preliminary detection based on information entropy, and then further makes more accurate attack judgment on the suspicious traffic based on the deep detection method of CNN extracting features and SVM for classification. the experimental results show that the dual detection model improves the detection effect and has better performance compared with the single model. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

Battery State of Energy Estimation Method Based on Conditional Selection Neural Network Model 8th

Battery State of Energy Estimation Method Based on Condition...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Liu, Kaituo Li, Yihuan Peng, Qiao School of Control and Computer Engineering North China Electric Power University Beijing102206 China Group of Information Technology Analytics and Operations Queen’s University Belfast BelfastBT9 5EE United Kingdom

ISBN: (纸本)9789819602315

there are differences in the discharge data of batteries at different life stages. Considering these differences, this paper proposes a conditional selection neural network model for estimating the SOE. It can flexibly select the appropriate network for prediction based on a set selection mechanism under different conditions, thereby improving the model’s applicability and generalization ability. Firstly, the concept of Squeeze-and-Excitation is incorporated into the CNN and the resulting SE-CNN model is pretrained. Next, a selection mechanism is designed according to the degree of battery aging, thus the training data is divided into four parts based on the number of discharge cycles to further train the pre-trained network to form a "four-in-one" CS-SE-CNN model. During SOE estimation, the CS-SE-CNN model selects the prediction network based on the number of discharge cycles in the input data. the results demonstrate that the proposed method exhibits high accuracy and robustness in estimating the SOE of lithium-ion batteries. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： State of charge

来源：评论

学校读者我要写书评

暂无评论

Classification of Awareness in Disorders of Consciousness Using Common Spatial Pattern 13

Classification of Awareness in Disorders of Consciousness Us...

引用

13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Lee, Chaewon Lee, Sunho Annen, Jitka Jeong, Ji-Hoon Massimini, Marcello Casarotto, Silvia Boly, Melanie Bodart, Olivier thibaut, Aurore Rosanova, Mario Laureys, Steven Gosseries, Olivia Lee, Minji Dept. Data Science The Catholic University of Korea Bucheon Korea Republic of Dept. Biomedical Software Engineering The Catholic University of Korea Bucheon Korea Republic of Dept. GIGA-Research & Neurology University and University Hospital of Liege Liege Belgium Dept. Data Analysis University of Ghent GhentB9000 Belgium Dept. Computer Science Chungbuk National University Cheongju Korea Republic of Dept. Biomedical and Clinical Sciences "L. Sacco" University of Milan Milan Italy Wisconsin Institute for Sleep and Consciousness Dept. Psychiatry University of Wisconsin Madison United States Coma Science Group GIGA-Consciousness GIGA Research Center University of Liège Liège Belgium Centre du Cerveau Neurology department University Hospital of Liège Liège Belgium

ISBN: (纸本)9798331521929

Advances in intensive care have improved the survival rate of patients with severe acute brain injury, but diagnostic errors for patients with disorders of consciousness are still high. Accurate diagnosis of these patients is very important because effective treatment can vary depending on the diagnosis. In this study, we propose a framework for classifying unresponsive wakefulness syndrome and minimally conscious state, focusing on awareness. In particular, power spectral density and common spatial patterns were used together, considering that spatial information is a key feature in consciousness. the 16 patients with unresponsive wakefulness syndrome and 14 with minimally conscious state underwent resting-state electroencephalography measurements. In addition, we compared the performance by utilizing each frequency (delta, theta, alpha, beta, gamma bands) related to consciousness. As a result, the highest accuracy of 95.06% was achieved by the EEGNet classifier, especially in the beta frequency band. We demonstrated that spatial information is very important in consciousness, as we observed that classification performance improved when common spatial patterns were used. these results provide insight into various frameworks for diagnosing patients with disorders of consciousness and may help patients survive by increasing the diagnosis rate in the future. © 2025 ieee.

关键词： Electroencephalography

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154页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：