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

77 篇 会议
10 篇 期刊文献

馆藏范围

87 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

51 篇 工学
- 29 篇 计算机科学与技术...
- 23 篇 软件工程
- 15 篇 控制科学与工程
- 10 篇 信息与通信工程
- 9 篇 生物工程
- 5 篇 电子科学与技术（可...
- 3 篇 机械工程
- 3 篇 建筑学
- 3 篇 土木工程
- 2 篇 光学工程
- 2 篇 材料科学与工程（可...
- 2 篇 化学工程与技术
- 2 篇 交通运输工程
- 2 篇 生物医学工程（可授...
- 1 篇 仪器科学与技术
- 1 篇 冶金工程
- 1 篇 动力工程及工程热...
- 1 篇 船舶与海洋工程
- 1 篇 航空宇航科学与技...
25 篇 理学
- 16 篇 数学
- 9 篇 生物学
- 8 篇 统计学（可授理学、...
- 5 篇 系统科学
- 2 篇 物理学
- 2 篇 化学
- 1 篇 天文学
14 篇 管理学
- 9 篇 管理科学与工程(可...
- 7 篇 图书情报与档案管...
- 3 篇 工商管理
2 篇 军事学
1 篇 法学
- 1 篇 社会学

主题

5 篇 reinforcement le...
3 篇 5g mobile commun...
3 篇 data mining
3 篇 information and ...
3 篇 correlation
2 篇 object detection
2 篇 interoperability
2 篇 probes
2 篇 task analysis
2 篇 indexes
2 篇 automation
2 篇 redundancy
2 篇 resource managem...
2 篇 interference
2 篇 computational mo...
2 篇 unmanned aerial ...
2 篇 itemsets
2 篇 measurement unce...
2 篇 semantics
2 篇 feature extracti...

机构

23 篇 cetc key laborat...
9 篇 cetc key laborat...
7 篇 state key labora...
7 篇 key laboratory o...
5 篇 northwestern pol...
4 篇 china cetc key l...
3 篇 linköping univer...
3 篇 huawei technolog...
3 篇 school of electr...
3 篇 school of comput...
3 篇 china electronic...
3 篇 state key labora...
3 篇 department of el...
3 篇 20th institute k...
3 篇 school of automa...
2 篇 centre for wirel...
2 篇 department of co...
2 篇 school of engine...
2 篇 department of el...
2 篇 hangzhou dianzi ...

作者

9 篇 yang feng
8 篇 nan ma
7 篇 wanyong tian
7 篇 chen chilian
6 篇 li fuqiang
6 篇 zhao lulu
6 篇 wang zhigang
6 篇 chen liang
5 篇 lulu zhao
5 篇 jianqiao chen
5 篇 chilian chen
5 篇 tian wanyong
4 篇 li yafeng
4 篇 guo chubing
4 篇 baoling liu
4 篇 ke liangjun
4 篇 chubing guo
4 篇 feng yang
4 篇 fuqiang li
3 篇 jianjun li

语言

86 篇 英文
1 篇 其他
1 篇 中文

检索条件"机构=Key Laboratory of Technology on Data link"

共 87 条记录，以下是41-50 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：

UAV Attitude Angle Estimation Based on Door Frame Deformation in Image 3

UAV Attitude Angle Estimation Based on Door Frame Deformatio...

引用

3rd IEEE International Conference on Electronic Information and Communication technology, ICEICT 2020

作者： Hui, Guobao Hu, Junfeng Zhao, Xi Cetc Key Laboratory of Data Link Technology Xian China

ISBN: (纸本)9781728190457

In this paper, we introduce a new method for calculating position angle of the barrier-wearing drone through the rectangular change in the image. This method only uses the visual deformation information of rectangular frame to calculate the angle between UAV navigation direction and door frame plane. There is a certain geometric transformation relationship between the change of view angle and the deformation of rectangle. In this paper, we infer the relationship between deformed graphic and UAV attitude under a series of assumptions. This method does not consider the distortion and rotation of rectangle, which are generally very sensitive to noise working conditions. No complicated mathematical computation is involved in the implementation and the required computational storage space is much cheaper compared to the current methods. Experiments with simulated images indicate the effectiveness of the proposed method. © 2020 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Research of occupancy-based skyline pattern mining 4

Research of occupancy-based skyline pattern mining

引用

4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Zhang, Kai Hu, Kun 20th Institute Xi’an China Key Laboratory of Technology on Data link School of Computer Science Northwestern Polytechnical University Xi’an China

ISBN: (纸本)9781665432030

The DOFRA algorithm uses user-specified minimum support threshold and occupancy threshold to find frequent and complete patterns. This process requires constant modification of threshold to adapt to different datasets. From a macro point of view, there is a negative correlation between the pattern support and the pattern length (occupancy), and user-specified minimum threshold mining has a large deviation to the result. In this article, by designing an efficient Pattern-extension-list (PEL) structure to replace the occupancy upper bound calculation in the DOFRA algorithm, a skyline mining algorithm based on the occupancy upper bound calculation (SOPM-occubound) is proposed. Two types of Skyline algorithms based on the PEL structure, SOPM (candidate set) and SOPM-occumax (without candidate itemsets), are used to mine occupancy-based skyline patterns (OBSPs). The advantage of SOPM is that the unreasonable setting of the threshold results in the problem of extremely different data excavated, and it can effectively find the most representative modes in the two dimensions of support and occupancy, and dominate other modes. Finally, the experimental results on several real and simulated datasets show that SOPM algorithm based on PEL structure is superior to SOPM-occubound in terms of running time and memory usage, and SOPM-occumax algorithm does not generate candidate item sets, thus it is the most efficient. ©2021 IEEE

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Depth-First Uncertain Frequent Itemsets Mining based on Ensembled Conditional Item-Wise Supports

Depth-First Uncertain Frequent Itemsets Mining based on Ense...

引用

Intelligent Supercomputing and BioPharma (ISBP), International Conference on

作者： Wanyong Tian Fuqiang Li Yibo Liu Zichen Wang Tao Zhang Key Laboratory of Technology on Data Link China Electronics Technology Group Corporation 20th Institute Xi’an China School of Computer Science Northwestern Polytechnical University Xi’an China

Uncertain frequent pattern mining is usually challenged by the single probabilistic frequent threshold or the single expected support as the measurements of frequent itemsets. A promising solution based on multiple expected minimum support has been introduced in more recent studies to distinguish the mining values of each item, but the intrinsic combinatorial explosion still limited this strategy to be further improved for more generic scenarios. In this paper, a novel mining scheme for uncertain frequent itemsets is proposed. By ensembling multiple conditional item-wise supports, the problems of information redundancy as well as loss caused by a single probabilistic frequent threshold can be effectively improved. Furthermore, by using a variety of pruning strategies based on the property of sorted downward closure and the concept of least minimum probabilistic frequent threshold, an UFP-ECIS (Uncertain Frequent Pattern Mining with Ensembled Conditional Item-wise Supports) algorithm is also introduced. Substantial experiments have been proved to demonstrate that the proposed mining scheme and algorithm has enhanced the information precision of the uncertain frequent itemsets mining.

关键词： Itemsets Redundancy Measurement uncertainty Probabilistic logic Explosions

来源：评论

学校读者我要写书评

暂无评论

Index system construction and weight distribution method based on improved credibility

Index system construction and weight distribution method bas...

引用

IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Liang Chen Wang Sule Lulu Zhao Key Laboratory of Technology on Data link China Electronics Technology Group Corporation (CETC) 20th Institute Xi'an China

In this paper, we construct a comprehensive operational effectiveness assessment index system from the perspective of operational effectiveness and system performance. The selected indicators in this index system affect the assessment results deeply. Then, we assess the reliability of the index system. We test the proposed method in a simulation scenario using single-factor tests. A mean value of the sensitivity of single indicator is calculated by repeating the test several times, in which the value of a single index changes while others keep constant. Finally, we reconstruct an effectiveness assessment index system by eliminating the indicators which have little impact on the effectiveness values. The proposed method provides a new way to assess the index system of a target system objectively and comprehensively and to distribute the index weights reasonably. The assessment result shows the objectivity and reliability of the proposed method.

关键词： Sensitivity analysis System performance Indexes Reliability

来源：评论

学校读者我要写书评

暂无评论

BEBLID-SLAM: An Efficient Feature-Based Monocular SLAM System

BEBLID-SLAM: An Efficient Feature-Based Monocular SLAM Syste...

引用

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Feng Yang Baibing Jie Hongxuan Song Haotian Li Key Laboratory of Information Fusion Technology Ministry of Education Northwestern Polytechnical University Xi’an China CETC Key Laboratory of Data Link Technology Northwestern Polytechnical University Xi’an China

ISBN: (纸本)9781665465373

The feature matching quality plays an important role in the robustness and location accuracy of feature-based Simultaneous Localization and Mapping (SLAM) system, in which descriptor is significant of tracking and re-localization. In this paper, we propose an efficient feature-based Monocular SLAM system, BEBLID-SLAM, which use BEBLID descriptor for feature matching in ORB-SLAM pipeline. In the proposed system, adopting histogram equalization to preprocess input images and offline training Bag-of-Words for BEBLID is respectively adopted to preprocess input images and realize re-localization and loop closure. Moreover, we valided that our algorithm has outstanding performance in robustness and accuracy than the popular algorithms in the public dataset EuRoC

关键词： Training Histograms Simultaneous localization and mapping Automation data preprocessing Pipelines Robustness

来源：评论

学校读者我要写书评

暂无评论

Object Recognition Through UAV Observations Based on Yolo and Generative Adversarial Network 6th

Object Recognition Through UAV Observations Based on Yolo an...

引用

6th EAI International Conference on IoT as a Service, IoTaaS 2020

作者： Li, Bo Gan, Zhigang Neretin, Evgeny Sergeevich Yang, Zhipeng School of Electronics and Information Northwestern Polytechnical University Xi’an China CETC Key Laboratory of Data Link Technology Xi’an China Moscow Aviation Institute Moscow Russia

ISBN: (纸本)9783030675134

Aiming at the object recognition through UAV, an intelligent object recognition model based on YOLO and Generative adversarial network is proposed in this paper. Firstly, the solution is given, and an object recognition model that can realize intelligent recognition is established. Then, in order to improve the resolution of the identified images, an image resolution enhancement model based on generative adversarial networks is built. After that, the structure and parameters of the recognition model and image resolution enhancement model are adjusted through the simulation experiments to improve the accuracy and robustness of the object recognition. Finally, the object recognition model based on YOLO and generative adversarial network in this paper is verified through UAV. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Object recognition

来源：评论

学校读者我要写书评

暂无评论

Redundancy Reduction of Musculoskeletal Model for Robots with Group Sparse Neural Network 6

Redundancy Reduction of Musculoskeletal Model for Robots wit...

引用

6th International Conference on Control and Robotics Engineering, ICCRE 2021

作者： Zhong, Shanlin Zhang, Jinhan Nie, Xiangli Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Science Beijing China CETC Key Laboratory of Data Link Technology Xi'an China

ISBN: (纸本)9780738126128

Creating robots with similar behavior and appearance to humans has been a long-term dream for roboticists. However, the highly redundant characteristic of the muscle system brings tremendous difficulty for the control and manufacture of the musculoskeletal robot. In this paper, we propose a heuristic pruning-based recurrent neural network method with group sparse regularization to reduce redundancy of muscles in musculoskeletal model, which can maintain the motion accuracy of musculoskeletal robots without activating the redundant muscles. Experiments on an upper extremity musculoskeletal model validate the effectiveness of the proposed method. © 2021 IEEE.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Design of real-time vehicle detection based on YOLOv4 10

Design of real-time vehicle detection based on YOLOv4

引用

10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021

作者： Yang, Feng Zhang, Xingle Zhang, Shuxing Li, Chao Hu, Haiwei Northwestern Polytechnical University CETC Key Laboratory of Data Link Technology Xi'an710072 China Institute No.206 of China Arms Industry Group Corporation Xi'an710100 China

ISBN: (纸本)9781665440295

Intelligent Traffic System (ITS), whose key point is vehicle detection, can significantly reduce the incidence of traffic accidents through scientific traffic control. Traditional vehicle detection technology has unsatisfactory detection speed and accuracy. In order to obtain and process object feature information more efficiently, we use the convolutional neural network (CNN) with better performance. In addition, compared with traditional computers with large volume and high computing cost, the embedded platform is more suitable for deployment model in practical application. Based on the convolutional neural network YOLOv4, we deploy it on the embedded platform, and optimizes the Class-imbalance of BDD100K dataset used in the model and the lack of real-time performance of the model. After optimization, for the BDD100K dataset, the detection accuracy of the model is improved by 2.81%, and the detection speed is improved to 28.45 FPS, which can meet the requirements of real-time vehicle detection. © 2021 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Decentralized Collaborative Localization Based on Iterated Kalman Filter Using Relative and Absolute Observations

Decentralized Collaborative Localization Based on Iterated K...

引用

International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Tu, Kuo Liu, Huixia Hu, Jinwen Zhao, Chunhui Xu, Zhao Hou, Xiaolei Zhang, Yongping School of Automation Northwestern Polytechnical University Xi’an China No. 365 Institute of Northwestern Polytechnical University Xi’an China School of Electronics and Information Northwestern Polytechnical University Xi’an China Key Laboratory of Data Link Technology The 20th Research Institute of China Electronics Technology Group Corporation Beijing China

ISBN: (纸本)9789811694912

This paper proposes a robust algorithm which can realize distributed computing for the problem of multi-agent collaborative localization using relative and absolute observations. Firstly, the relative measurement model of agents is approximated by taking the state of their neighbors as prior knowledge, the approximation error can be modeled as the Gaussian distribution. This is very critical for the algorithm to achieve decentralized computing. Then the iterated kalman filtering algorithm is used to estimate the state for each agent using the information of itself and its neighbors. Finally, the proposed algorithm is compared with other existing approaches. Simulation results show that our algorithm provides better performance in positioning accuracy. © 2022, 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

Efficient Path Planning for UAV Swarm Under Dense Obstacle Environment 1

引用

International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Li, Menglei Zhao, Chunhui Hu, Jinwen Xu, Zhao Guo, Chubing Dou, Zengfa School of Automation Northwestern Polytechnical University Xi’an710129 China School of Electronics and Information Northwestern Polytechnical University Xi’an710129 China Key Laboratory of Data Link Technology The 20th Research Institute of China Electronics Technology Group Corporation Xi’an710068 China School of Artificial Intelligence Xidian University Xi’an710071 China

ISBN: (数字)9789811694929

ISBN: (纸本)9789811694912

This paper deals with the path planning problem of unmanned aerial vehicle (UAV) swarm in the dense-obstacle environment. A novel hierarchical path planning approach with two-level structure is proposed to obtain collision-free and smooth paths for UAV swarm. In the first level, an improved particle swarm optimization (PSO) method is proposed to generate a collision-free global optimal path to determine the overall movement orientation of UAV swarm. In the second level, the improved artificial potential field (APF) combined with consensus theory is used for local path planning of each UAV in the swarm with the turning points extracted from the global optimal path obtained previously as a series of destinations under the leader-follower formation control framework. Numerical simulations are implemented to prove the validity of our proposed algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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9页 << < 1 2 3 4 5 6 7 8 9 > >>

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：