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

49 篇 会议
44 篇 期刊文献

馆藏范围

93 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

66 篇 工学
- 44 篇 计算机科学与技术...
- 41 篇 软件工程
- 14 篇 信息与通信工程
- 12 篇 控制科学与工程
- 11 篇 电气工程
- 9 篇 机械工程
- 8 篇 生物工程
- 7 篇 电子科学与技术（可...
- 5 篇 化学工程与技术
- 5 篇 生物医学工程（可授...
- 3 篇 仪器科学与技术
- 2 篇 力学（可授工学、理...
- 2 篇 光学工程
- 2 篇 材料科学与工程（可...
- 2 篇 动力工程及工程热...
- 2 篇 建筑学
- 2 篇 土木工程
- 2 篇 水利工程
36 篇 理学
- 12 篇 生物学
- 11 篇 数学
- 7 篇 物理学
- 5 篇 化学
- 5 篇 统计学（可授理学、...
- 3 篇 大气科学
- 2 篇 海洋科学
16 篇 管理学
- 9 篇 管理科学与工程(可...
- 7 篇 图书情报与档案管...
7 篇 医学
- 6 篇 临床医学
- 4 篇 基础医学(可授医学...
- 3 篇 药学(可授医学、理...
3 篇 农学
2 篇 法学
1 篇 经济学
1 篇 艺术学

主题

4 篇 machine learning
3 篇 deep learning
3 篇 feature extracti...
2 篇 power demand
2 篇 internet of thin...
2 篇 object detection
2 篇 reinforcement le...
2 篇 motion planning
2 篇 recommender syst...
2 篇 brain modeling
2 篇 cameras
2 篇 resource managem...
2 篇 5g mobile commun...
2 篇 contrastive lear...
2 篇 computational mo...
2 篇 extraction
2 篇 emotion recognit...
2 篇 accuracy
2 篇 collaboration
2 篇 streaming media

机构

20 篇 school of artifi...
17 篇 key laboratory o...
8 篇 school of comput...
7 篇 china light indu...
7 篇 state key labora...
5 篇 china national l...
3 篇 gaoling school o...
3 篇 information secu...
3 篇 college of infor...
3 篇 guizhou universi...
3 篇 beijing key labo...
2 篇 institute of ind...
2 篇 oil production p...
2 篇 tsinghua univers...
2 篇 institute of com...
2 篇 school of comput...
2 篇 graduate school ...
2 篇 school of artifi...
2 篇 key laboratory o...
2 篇 artificial intel...

作者

12 篇 lian xiaoqin
11 篇 gao chao
7 篇 xiaoqin lian
7 篇 gong yonggang
6 篇 chao gao
5 篇 li jin
5 篇 xu jiping
5 篇 guan wenyang
5 篇 wu yelan
4 篇 zhao zhiyao
4 篇 jiping xu
4 篇 wenyang guan
4 篇 li jian
4 篇 yonggang gong
4 篇 zhiyao zhao
3 篇 yu chongchong
3 篇 yuan xin
3 篇 yelan wu
3 篇 mi jiachen
3 篇 feng zhiyong

语言

87 篇 英文
6 篇 其他

检索条件"机构=Big Data and Industrial Intelligence Networking Technology Laboratory"

共 93 条记录，以下是21-30 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 thermodynamic simulation modeling and air temperature control of solar greenhouse

Research on thermodynamic simulation modeling and air temper...

引用

2022 International Workshop on Automation, Control, and Communication Engineering, IWACCE 2022

作者： Lian, Xiaoqin Yu, Xiaokun Gao, Chao Gong, Yonggang Wu, Yelan Guan, Wenyang Li, Jin School of Artificial Intelligence Beijing Technology and Business University Beijing100048 China Key Laboratory of Industrial Internet and Big Data China National Light Industry Beijing Technology and Business University Beijing100048 China

ISBN: (纸本)9781510660915

The solar greenhouse is an infrastructure widely used in agricultural production, and the precise control of its temperature can stabilize yield and production quality. To improve the air temperature control performance without affecting the actual production, a method for simulation modeling of the greenhouse and its air temperature control was proposed based on the thermodynamic principle. Firstly, by combining the following main influencing factors: the heat gained from solar radiation, the heat transferred via ventilation, conduction, long-wave radiation, and the heat storaged by wall, a mathematical model of the greenhouse was constructed. Secondly, a classical proportion-integrationdifferentiation (cPID) controller was deployed for the air temperature control of the greenhouse based on ventilation. Then an enhancement for cPID, a single neuron proportion-integration-differentiation (SNPID) controller was proposed to improve the control effect, and the former cPID controller acted as a comparison. Next, a MATLAB/Simulink simulation was carried out based on the solar greenhouse model and the PID controller models. As the experimental results show, with sunlight input and Gaussian noise interference in the controlled greenhouse model, the maximum positive and negative temperature offset of SNPID are both smaller than the cPID results, and after interference at the simulated time t=3.33 h, the adjustment time of SNPID is shortened by at least 45.0% compared with cPID. The temperature curve under SNPID control is closer to the target and more stable than the curve of cPID. Thus, the accuracy and robustness of control in this greenhouse are improved. © 2022 SPIE. All rights reserved.

关键词： Greenhouses

来源：评论

学校读者我要写书评

暂无评论

Research on recognition method of adolescent schizophrenia based on EEG feature fusion 17

Research on recognition method of adolescent schizophrenia b...

引用

17th International Conference on Complex Medical Engineering, CME 2023

作者： Lian, Xiaoqin Wang, Zitong Cai, Mohao Gao, Chao Guan, Wenyang Gong, Yonggang School of Artificial Intelligence Beijing Technology and Business University Beijing100048 China China National Light Industry Beijing Technology and Business University Key Laboratory of Industrial Internet and Big Data Beijing100048 China

ISBN: (纸本)9798350316117

Schizophrenia is a common mental illness, and adolescent schizophrenia has a higher recurrence rate and disability rate than adult schizophrenia. In order to improve the recognition accuracy of adolescent schizophrenia, this study proposed a classification method of adolescent schizophrenia combined with artificial intelligence technology. In this method, the pre-processed original electroencephalogram (EEG) signals are decomposed by Discrete Wavelet Transform (DWT) and Ensemble Empirical Mode Decomposition (EEMD), respectively, and then the decomposed signals are extracted and the extracted features are fused. Finally, five machine learning models are used for classification. The results show that compared with DWT or EEMD methods alone, the feature fusion method proposed in this paper exhibits a higher accuracy in classification, in which the K-Nearest Neighbours (KNN) model achieves the best classification performance. The identification accuracy, recall, precision, F1 score, and Kappa coefficient of the model were 97.48%, 95.71%, 99.56%, 97.59%, and 0.9494, respectively, which proved that the proposed method could effectively distinguish adolescent schizophrenia patients from healthy adolescents, and could assist doctors in disease analysis, providing a new method for the diagnosis of adolescent schizophrenia. © 2023 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

A Robot Control Method based on Motor Imagery EEG Signals 5

A Robot Control Method based on Motor Imagery EEG Signals

引用

5th International Symposium on Robotics and Intelligent Manufacturing technology, ISRIMT 2023

作者： Lian, Xiaoqin Cai, Mohao Gao, Chao Wangl, Zitong Wu, Yelan Guan, Wenyang Gong, Yonggang School of Artificial Intelligence Beijing Technology and Business University Beijing100048 China China National Light Industry Beijing Technology and Business University Key Laboratory of Industrial Internet and Big Data Beijing100048 China

ISBN: (纸本)9798350316087

In recent years, brain-computer interface (BCI)-based research has become a research direction that has attracted much attention in the field of artificial intelligence, especially the brain-computer interface-based human-computer interaction system has a wide range of development forward. In this paper, a new recognition method is proposed for the problem of low accuracy of multi-classification recognition of EEG signals based on motor imagery, and the method is combined with Nao robot control to realize a human-computer interaction system based on brain-computer interface. In this study, the EEG data collected by EMOTIV EPOC FlEX was used as the experimental basis, and firstly, the wavelet packet decomposition was used to process the EEG signals, extract the four important frequency bands of EEG signals, namely, Alpha, Beta, Theta, and Gamma, and compute the differential entropy (DE) features of each band respectively, and reconstructed the three-dimensional according to the spatial characteristics of the brain electrodes EEG feature cube, and input the features into the convolutional neural network of the visual geometry group network for four classifications. Finally, the robot is controlled to realize different limb movements according to different classification results, thus realizing the function of human-machine interaction system and laying a technical foundation for intelligent control based on EEG signals. © 2023 IEEE.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Sensor Placement Optimization and Rapid Deployment of a Class of Visual Sensor Networks 42

Sensor Placement Optimization and Rapid Deployment of a Clas...

引用

42nd Chinese Control Conference, CCC 2023

作者： Deng, Heng Zhou, Jiahui Zhao, Zhiyao Zhang, Liguo Beijing University of Technology Key Laboratory of Computational Intelligence and Intelligent Systems Faculty of Information Technology Beijing100124 China China National Light Industry Beijing Technology and Business University Key Laboratory of Industrial Internet and Big Data Beijing100048 China

ISBN: (纸本)9789887581543

To achieve the purpose of large-scale visual tracking of targets based on Visual Sensor Networks (VSNs), this paper proposes a sensor placement optimization method to provide a suitable sensor configuration that satisfies the requirements of maximal network coverage and minimal reconstruction error as closely as possible. In the proposed method, some necessary models are established as the mathematical basis of the optimization process. Then, a multi-objective optimization function is designed to balance the coverage and reconstruction error, followed by an intelligent optimization algorithm that combines the advantages of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Additionally, a dimensionality reduction technique is used to represent the sensor location information using a one-dimensional forward distance, which makes the search process simpler and increases execution speed. Finally, comprehensive comparison experiments are carried out in various settings to show the reliability and effectiveness of the optimization algorithms. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

AdaBoost-SVM Face Recognition Algorithm Based on LBP and Gabor Feature Fusion 5

AdaBoost-SVM Face Recognition Algorithm Based on LBP and Gab...

引用

5th International Conference on big data and Artificial intelligence and Software Engineering, ICBASE 2024

作者： Lian, Xiaoqin Liu, Chunquan Gao, Chao Ma, Guochun Gong, Yonggang Li, Jin Beijing Technology and Business University School of Computer and Artificial Intelligence Beijing100048 China China National Light Industry Beijing Technology and Business University Key Laboratory of Industrial Internet and Big Data Beijing100048 China

ISBN: (纸本)9798331506612

In recent years, facial recognition technology has seen rapid advancements and is now extensively utilized in security surveillance and financial transactions. The face recognition process usually includes image preprocessing, feature extraction, and classification. However, it is often difficult for a single feature to fully capture the complex features of a human face, thus affecting the accuracy of recognition. To address this issue, this study presented an AdaBoost-SVM face recognition algorithm that fuses local binary pattern and Gabor features, which can enable comprehensive extraction of facial features from images and enhance recognition accuracy. This method first performs bilateral filtering on the face image to reduce noise and retain edge information. Then, it extracts the local binary pattern and Gabor features and weights the fusion. Finally, it uses the AdaBoost-SVM classifier for identification. Moreover, the algorithm performance was comprehensively evaluated using the ten-fold cross-validation method. The experimental results demonstrated that this method achieves recognition accuracy of 98.75% and 96.25% on ORL and Yale A face databases respectively, and still performs well in complex lighting and expression-changing environments, significantly improving the accuracy of face recognition and its robustness. © 2024 IEEE.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Research on Forecasting Method of Meteorological Drought Index Based on Time Series Analysis 4

Research on Forecasting Method of Meteorological Drought Ind...

引用

4th International Conference on Artificial intelligence and Computer Engineering, ICAICE 2023

作者： Gao, Chao Hu, Xiangyu Bai, Mengting Mi, Jiachen Lian, Xiaoqin Li, Jin School of Computer and Artificial Intelligence Beijing Technology and Business University Beijing100048 China Key Laboratory of Industrial Internet and Big Data China National Light Industry Beijing Technology and Business University Beijing100048 China

ISBN: (纸本)9798400708831

Drought is a kind of natural disaster, which has adverse effects on agricultural production, water supply and environmental ecosystem. Thus it is of great practical significance to accurately forecast meteorological drought index. In this study, the scPDSI was selected as the evaluation indicator of meteorological drought, and the scPDSI of the Greater Khingan Mountains forest area in China was predicted based on ARIMA model. The experimental results show that the ARIMA model with the optimal order is ARIMA (3,1,3). The correlation coefficient of each ARIMA (3,1,3) model is greater than 0.910, the MAE is less than 0.470, and the MSE is less than 0.520 both on the training set and the test set, indicating that there is a strong correlation between the predicted value and the actual value and each model has high prediction accuracy. Therefore, the ARIMA model can be used for accurate prediction of scPDSI, and then provide technical support for drought early warning. © 2023 ACM.

关键词： Time series analysis

来源：评论

学校读者我要写书评

暂无评论

Research on EEG Emotion Recognition Based on Multi-scale Residual Convolutional Neural Network 5

Research on EEG Emotion Recognition Based on Multi-scale Res...

引用

5th International Conference on big data and Artificial intelligence and Software Engineering, ICBASE 2024

作者： Lian, Xiaoqin Shi, Ziqi Gao, Chao Ma, Guochun Wu, Yelan Guan, Wenyang Beijing Technology and Business University School of Computer and Artificial Intelligence Beijing100048 China China National Light Industry Beijing Technology and Business University Key Laboratory of Industrial Internet and Big Data Beijing100048 China

ISBN: (纸本)9798331506612

Emotion recognition based on EEG signals has become an essential method in fields such as human-computer interaction and disease assessment. To further improve the recognition effect of human emotions, this paper fused the spatial and frequency information in EEG signals. It proposed a multi-scale residual convolutional neural network (ECA-Resnet-CNN) with an ECA attention mechanism to perform multi-scale information fusion on the constructed original features. The method first divides the EEG signals into six frequency bands;then, the differential entropy features are extracted from each frequency band and converted into a spatial-band three-dimensional feature matrix;then, the deep information of the three-dimensional feature matrix is extracted through a multi-scale residual convolutional neural network;finally, the weights of different channels of the feature map are adjusted by introducing the ECA attention mechanism, and the emotion classification is completed. The results show that on the Deap dataset, the arousal dimension and valence dimension binary classification accuracy of this method can reach 97.16% and 96.30% respectively, which is a significant improvement compared with the existing mainstream emotion recognition models, proving the effectiveness of this method. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

DASCDC: Dual Attention-based Sparse Common Deep Clustering Method 9

DASCDC: Dual Attention-based Sparse Common Deep Clustering M...

引用

9th IEEE International Conference on Behavioural and Social Computing, BESC 2022

作者： Dong, Yao Shi, Jin Deng, Yahan Dong, Yongfeng Wang, Ziqiu School of Artificial Intelligence Hebei University of Technology Tianjin300401 China Hebei Province Key Laboratory of Big Data Computing Tianjin300401 China Data Driven Industrial Intelligent Hebei Engineering Research Center Tianjin300401 China

ISBN: (数字)9798350398144

ISBN: (纸本)9798350398144

Graph convolutional network (GCN) has been successfully applied in deep clustering on the high dimensional dataset, which is usually processed by extracting the feature and structure information. However, it lacks an effective fusion mechanism of common information between the feature and structure information and does not perform well on the sparse dataset. Therefore, we propose a dual attention-based sparse common deep clustering method(DASCDC). Firstly, we advance a sparse feature representation method with an adversarial loss function to solve the data sparsity problem and improve the discriminator's performance. Then, an information interaction operator is designed to deeply mine the common information and enhance the information fusion capability. Finally, considering the different contribution degrees of various neighbour nodes and information, we promote a dual self-attention mechanism from the node and model levels. Experiment results indicate that the proposed DASCDC algorithm overperforms other state-of-art deep clustering algorithms on non-graph and graph datasets with high dimension and sparsity. © 2022 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Research on the Application of Business data Fusion in the Engineering Management of Oil and Gas Storage and Transportation Station 4

Research on the Application of Business Data Fusion in the E...

引用

4th International Conference on Computer Science and Management technology, ICCSMT 2023

作者： Xie, Rui Fan, Bo Ma, Jianlin Pan, Meng Southwest Pipeline Ltd. PipeChina ChengDu610213 China School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu610031 China Chengdu Aerospace Science and Industry Big Data Institute Ltd. Casic Chengdu610213 China National Engineering Laboratory of Industrial Big-Data Application Technology Casic Chengdu610218 China

ISBN: (纸本)9798400709517

Due to challenges such as complex contractor personnel, a large amount of scattered form data, a cumbersome business implementation process, low levels of digitalization and security, and difficult management in the engineering management business of oil and gas storage and transportation stations, this paper proposes a study on business data fusion application in the engineering management of oil and gas storage and transportation stations. Focused on the business processes and data of engineering management in oil and gas storage and transportation stations, this research establishes and analyzes an architecture for engineering management business in these stations. Using an Artifact-centric data fusion method, the research constructs an information model for the engineering management business, identifying the data topics for this area. Finally, the research applies and verifies the study of business data fusion through real-world business management scenarios. As researchers in the field of business data fusion, this study utilizes digital technologies and methods to enhance the overall safety management of engineering operations, thereby promoting the transformation and upgrading of engineering management business in oil and gas storage and transportation stations © 2023 ACM.

关键词： Information management

来源：评论

学校读者我要写书评

暂无评论

Research on information interoperability of grains and oil supply chain based on identification resolution system of industrial internet

Research on information interoperability of grains and oil s...

引用

2022 International Symposium on Artificial intelligence Control and Application technology, AICAT 2022

作者： Xu, Boyu Xu, Jiping Chai, Senchun Jin, Jian Yu, Chongchong Wang, Zhaoyang School of Artificial Intelligence Beijing Technology and Business University China China Key Laboratory of Light Industry Internet and Big Data China School of Automation Beijing Institute of TechnologyChina China Institute of Industrial Internet and Internet of Things China Academy of Information and Communications Technology China

ISBN: (纸本)9781510656710

The grains and oils supply chain has many characteristics, such as long life cycle, complex links, multiple sources of information, fragmented data, and many risk factors, etc. Based on the industrial Internet identification resolution system, the method and technology of information exchange in the whole supply chain of grains and oils are studied. Through the analysis of my country's industrial Internet identification resolution system, design identification and resolution connection middleware architecture. The identification resolution system is the nerve hub that supports the interconnection of all things in industry. By opening up the data of the whole supply chain of grains and oils, it will realize the extensive interconnection of upstream and downstream industries and cross-fields. It breaks the "information island"and ensures the quality and safety of the whole life cycle of grains and oils. On this basis, a feasible information exchange framework for the whole supply chain of grains and oils is constructed. This has practical implications. © 2022 SPIE.

关键词： Food safety

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10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：