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

11,585 篇 会议
132 册 图书
109 篇 期刊文献

馆藏范围

11,826 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,895 篇 工学
- 6,204 篇 计算机科学与技术...
- 4,536 篇 软件工程
- 2,116 篇 信息与通信工程
- 989 篇 控制科学与工程
- 823 篇 电气工程
- 760 篇 生物工程
- 512 篇 机械工程
- 509 篇 电子科学与技术（可...
- 507 篇 生物医学工程（可授...
- 394 篇 光学工程
- 373 篇 安全科学与工程
- 360 篇 动力工程及工程热...
- 352 篇 仪器科学与技术
- 326 篇 交通运输工程
- 301 篇 化学工程与技术
- 260 篇 网络空间安全
- 242 篇 环境科学与工程（可...
3,224 篇 理学
- 1,806 篇 数学
- 841 篇 生物学
- 672 篇 物理学
- 530 篇 统计学（可授理学、...
- 324 篇 系统科学
- 288 篇 化学
2,392 篇 管理学
- 1,404 篇 管理科学与工程(可...
- 1,193 篇 图书情报与档案管...
- 822 篇 工商管理
493 篇 医学
- 432 篇 临床医学
- 417 篇 基础医学(可授医学...
358 篇 法学
- 294 篇 社会学
282 篇 经济学
- 278 篇 应用经济学
211 篇 教育学
208 篇 农学
66 篇 艺术学
42 篇 文学
34 篇 军事学
2 篇 哲学
2 篇 历史学

主题

593 篇 cloud computing
286 篇 computational mo...
245 篇 accuracy
240 篇 information tech...
203 篇 deep learning
196 篇 feature extracti...
190 篇 global positioni...
187 篇 internet of thin...
178 篇 real-time system...
166 篇 machine learning
154 篇 data mining
151 篇 computer archite...
148 篇 security
141 篇 optimization
132 篇 big data
130 篇 predictive model...
127 篇 ubiquitous compu...
114 篇 information syst...
113 篇 wireless sensor ...
112 篇 support vector m...

机构

41 篇 al-farahidi univ...
39 篇 faculty of compu...
34 篇 university of ch...
31 篇 school of comput...
27 篇 department of in...
27 篇 department of co...
26 篇 faculty of infor...
24 篇 institute of com...
23 篇 the islamic univ...
19 篇 school of inform...
19 篇 chitkara centre ...
18 篇 chitkara univers...
18 篇 department of in...
17 篇 school of comput...
16 篇 college of techn...
16 篇 sri sairam engin...
16 篇 state key labora...
15 篇 school of inform...
15 篇 beijing universi...
14 篇 college of infor...

作者

35 篇 china
20 篇 liu yang
18 篇 dhabliya dharmes...
18 篇 dharmesh dhabliy...
17 篇 yang yang
13 篇 li yang
13 篇 wang wei
12 篇 li li
11 篇 wang hui
10 篇 zhang lei
9 篇 haungs a.
9 篇 fürst p.
9 篇 fan k.l.
9 篇 bourbeau e.
9 篇 fritz a.
9 篇 halve l.
9 篇 de clercq c.
9 篇 böttcher j.
9 篇 ha minh m.
9 篇 günther c.

语言

11,511 篇 英文
281 篇 其他
63 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=4th International Multi-Conference on Computing in the Global Information Technology"

共 11826 条记录，以下是4961-4970 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：

An Orchestration Algorithm for 5G Network Slicing Based on GA-PSO Optimization 10th

An Orchestration Algorithm for 5G Network Slicing Based on G...

引用

10th international conference on Computer Engineering and Networks, CENet 2020

作者： Wang, Wenge Shen, Jing Zhao, Yujing Wang, Qi Guo, Shaoyong Feng, Lei State Grid Henan Electric Power Company Information and Communication Company Zhengzhou450052 China State Grid Henan Electric Power Company Zhengzhou450052 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9789811584619

Network slicing is an important technology for implementing on-demand networking based on the 5G network architecture of SDN/NFV. By analyzing the main scenarios of 5G, a network slice orchestration algorithm based on GA-PSO optimization under the SDN/NFV architecture is proposed. this algorithm uses the particle swarm optimization algorithm to quickly converge on the characteristics of the global optimal solution, and design the evaluation function of network slice performance. Moreover, the ability of genetic algorithm to quickly search randomly is used to update and optimize the network slice, and the particle swarm is used to chase the local optimal solution and the global optimal solution to obtain the optimal network slice. Simulation experiment results show that the algorithm can realize the personalized creation of network slices in multi-service scenarios, give full play to the advantages of SDNs centralized control mode, and reduce network energy consumption while improving network resource utilization. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Research on Intelligent Vehicle Infrastructure Cooperative System Based on 5G Mobile Edge computing 6

Research on Intelligent Vehicle Infrastructure Cooperative S...

引用

6th international conference on Transportation information and Safety, ICTIS 2021

作者： Chen, Xiaowei Zhang, Qingyu Jin, Zhigang Zhang, Sulin Li, Jinliang Zhang, Jia Automotive Data China Automotive Technology & Research Center Co. Ltd Tianjin China Automotive Data Center China Automotive Technology & Research Center Co. Ltd Tianjin China

ISBN: (纸本)9781665497138

Intelligent vehicle-infrastructure cooperative system plays an increasingly greater role in the intelligent traffic system, this paper designs an intelligent vehicle-infrastructure cooperative system based on 5G mobile edge computing in order to improve the network latency of data transmission and asymmetric cryptographic algorithm was used to ensure the security of data. the system consists of four function modules: road side unit, on board unit, mobile edge computing equipment, central cloud platform, to realize the fusion processing of vehicle-road-edge-central cloud four-level data. the adaptive cruise model based on safe time distance of self-driving vehicle was used to verify the feasibility and effectiveness of the system. Compared with the 4G vehicle-infrastructure cooperative system, the data transmission delay is reduced by 60% to 80%. thus the short delay, high reliability and high speed vehicle-infrastructure cooperative system are realized, and provides a useful reference for the design and development of an efficient, safe and environmentally friendly intelligent traffic system. © 2021 IEEE.

关键词： Mobile edge computing

来源：评论

学校读者我要写书评

暂无评论

Design of multi-AGV System with Tracking, Collision Avoidance and Coordination 21

Design of Multi-AGV System with Tracking, Collision Avoidanc...

引用

Proceedings of the 2021 4th international conference on Algorithms, computing and Artificial Intelligence

作者： Tongpo Zhang Wuyan Zhao Xu Zhu Enggee Lim Fei Ma Limin Yu Electrical and Electronic Engineering Department Xi-an Jiaotong-Liverpool University China Department of Electric and information Engineering Harbin Institute of Technology China Mathematical Sciences Department Xi-an Jiaotong-Liverpool University China

ISBN: (纸本)9781450385053

With the develop of industrial automation, a mature and adaptive tracking and collision avoidance in multi-AGV coordination system has a pressing demand. Most of the research focuses on a part of a multi-AGV coordination system such as tracking algorithms, collision avoidance methods and mechanism of coordination. In this paper, efforts have been made to design a AGV system covering a whole set of tracking, collision avoidance and formation functionalities with performance analysis. there are three major aspects for the construction, including collision avoidance, tracking, and coordination. Collision avoidance is integrated in the navigation algorithm, which is based on the map of surrounding environments built by Simultaneous Localization and Mapping (SLAM). It is expected to be smooth and automatic by timely adjusting velocity and distance between obstacles. Tracking of AprilTag is the second key function to complete the system. Every slave AGV is able to track the master AGV according to the visual information provided by the AprilTag, and maintain a specified distance to form a designated pattern. the coordination function is that the AGV system consist a cluster of vehicles in master or slave mode traversing an optimized path toward given destinations. the effectiveness of the system design is demonstrated through experiments. the paper provided the detailed design procedure, numerical analysis of the measurement data and recommendations for further improvement of the system design.

关键词： AGV tracking AprilTag collision avoidance path planning AGV coordination

来源：评论

学校读者我要写书评

暂无评论

Risk Prediction Pattern Matching Method of Construction Project Management System in Big Data Era 4th

Risk Prediction Pattern Matching Method of Construction Proj...

引用

4th EAI international conference on Advanced Hybrid information Processing, ADHIP 2020

作者： Li, Qiu-yi Fuzhou University of International Studies and Trade Fuzhou350202 China

ISBN: (纸本)9783030678708

In view of the influence of the scale of pattern information set on the pattern matching of risk prediction, aiming at improving the performance of pattern matching of risk prediction, this paper puts forward the method of pattern matching of risk prediction of construction project management system in the era of big data. In the era of big data, the central idea of risk prediction pattern matching algorithm is analyzed. Based on the description of risk prediction pattern matching algorithm, the specific implementation steps of risk prediction pattern matching algorithm are designed, the design of risk prediction pattern matching algorithm is completed, and the risk prediction pattern matching process of construction project management system is combined to achieve the risk prediction pattern matching. the experimental results show that, under different experimental platforms, compared with other risk prediction pattern matching methods, the accuracy of risk prediction pattern matching method of construction project management system in the era of big data is higher. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Research on multi-source Heterogeneous Big Data in Extra-large Enterprises 20

Research on Multi-source Heterogeneous Big Data in Extra-lar...

引用

4th international conference on Computer Science and Application Engineering, CSAE 2020

作者： Yuan, Lufeng Gao, Xiaoxin Wang, Sining Wang, Jun Beijing China-Power Information Technology Co. Ltd Beijing China

ISBN: (纸本)9781450377720

Extra-large enterprises, due to their huge scale and complex businesses, face serious challenges in the big data time. this paper introduces the Operating and Monitoring information System (OMIS) in the State Grid Corporation of China to try to use big data in the extra-large enterprises. OMIS consists of full coverage data flow path, compound general library of model and algorithm, multi-mode computing platform and interface components. It solves a series of key problems that are data barrier, transmission, analysis, computing, usability in extra large enterprises. OMIS has connected headquarters, provinces and cities, covered 27 provinces. Benefited from interface components, a programme for data extraction, model train and parallel computing can be implemented by several codes conveniently in OMIS. In the experiments, OMIS can extract 1.73TB line loss data in about 93 hours from 27 provinces, provide multiple algorithms to detect abnormal low-voltage substation areas, support high performance computing by parallelization. Finally, OMIS reaches 3.71 speedup ratio on five nodes. © 2020 ACM.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

An Efficient Unsupervised Domain Adaptation Deep Learning Model for Unknown Malware Detection 1

引用

4th EAI international conference on Security and Privacy in New computing Environments, SPNCE 2021

作者： Wang, Fangwei Chai, Guofang Li, Qingru Wang, Changguang Key Lab of Network and Information Security of Hebei Province Hebei Normal University Shijiazhuang050024 China College of Computer and Cyberspace Security Hebei Normal University Shijiazhuang050024 China

ISBN: (数字)9783030967918

ISBN: (纸本)9783030967901

Emerging malware and zero-day vulnerabilities present new challenges to malware detection. Currently, numerous proposed malware detection approaches are based on supervised learning. However, these methods rely on a large amount of labeled data, which is usually difficult to obtain. Moreover, since the newly emerging malware has a different data distribution from the original training samples, the detection performance of the model will degrade when facing new malware. To solve the problems mentioned above, this paper proposes an unsupervised domain adaptation-based malware detection method to align the joint distribution of known malware and unknown malware. First, the distribution divergence between the source and target domain is minimized by adversarial learning to learn shared feature representations. Second, to further obtain semantic information of unlabeled target domain data, this paper reduces the class-level distribution divergence by aligning the class centers of labeled source data and pseudo-labeled target data. To improve the ability of the model for extracting feature information, this paper mainly uses a residual network with a self-attention mechanism as a pre-trained model. Extensive experiments are conducted on two datasets. the experimental results illustrate that the proposed method outperforms the state-of-art detection methods with an accuracy of 95.63% and a recall of 95.30% in detecting unknown malware. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Track slab crack detection based on full convolutional neural network 4

Track slab crack detection based on full convolutional neura...

引用

2021 4th international conference on Advanced Algorithms and Control Engineering, ICAACE 2021

作者： Li, Wenju Chen, Huiling Zhang, Yaoxing Shi, Yanjiao School of Computer Science and Information Engineering Shanghai Institute of Technology Shanghai China School of Railway Transportation Shanghai Institute of Technology Shanghai China

In recent years, with the rapid development of railway industry, railway safety has become an issue of increasing concern to people. the crack is the biggest threat to the safety of the railway. Because the pictures can only be collected at night, the pictures collected have many problems such as noise and uneven illumination. In order to solve these problems, this paper proposed a method of track slab crack image segmentation based on full convolutional neural network. In this method,VGG-16 is used as the backbone network, and the dilated convolution is added into the backbone network. then the spatial pyramid pooling method is used to extract more global and local feature information. In addition, the HED network is used to obtain multiple output results. Finally, in order to make the model more discriminative to the characteristics of each channel, SE module is added. Experimental results show that the proposed method reaches 81.84%,67.68% and 84.55% in precision, IoU and F1-score respectively in the self-made data set, which is superior to the traditional segmentation method and U-Net method, and can meet the needs of practical engineering. © Published under licence by IOP Publishing Ltd.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem 8th

Multi-class Bagged Proximal Support Vector Machines for the ...

引用

8th international conference on Future Data and Security Engineering , FDSE 2021

作者： Do, thanh-Nghi College of Information Technology Can Tho University Cantho92000 Viet Nam Sorbonne University Pierre and Marie Curie University Paris 6 France

ISBN: (纸本)9783030913861

We propose the new multi-class of bagged proximal support vector machines (MC-Bag-PSVM) for handling the ImageNet challenging problem with very large number of images and a thousand classes. Our MC-Bag-PSVM trains in the parallel manner ensemble binary PSVM classifiers used for the One-Versus-All (OVA) multi-class strategy on multi-core computer with GPUs. the binary PSVM model is constructed by bagged binary PSVM models built in under-sampling training dataset. the numerical test results on ILSVRC 2010 dataset show that our MC-Bag-PSVM algorithm is faster and more accurate than the state-of-the-art linear SVM algorithm. An example of its effectiveness is given with an accuracy of 75.64% obtained in the classification of ImageNet-1000 dataset having 1,261,405 images in 2048 deep features into 1,000 classes in 29.5 min using a PC Intel(R) Core i7-4790 CPU, 3.6 GHz, 4 cores and Gigabyte GeForce RTX 2080Ti 11 GB GDDR6, 4352 CUDA cores. © 2021, Springer Nature Switzerland AG.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Application of Capsule Network to Tablet Identification 21

Application of Capsule Network to Tablet Identification

引用

Proceedings of the 2021 4th international conference on Algorithms, computing and Artificial Intelligence

作者： Wenliang He Minling Zhu Computer School Beijing Information Science & Technology University China

ISBN: (纸本)9781450385053

To address the problem of pill defect recognition, we propose to apply capsule neural network for pill defect recognition. the effects of dynamic routing iteration rounds and different compression function constant term schemes on the performance of the capsule neural network are investigated in the context of small data sets, and the model effects are verified experimentally. the experimental results show that both the number of dynamic routing iteration rounds and different compression function constant term schemes can affect the performance of the capsule neural network, and it is essential to choose an appropriate scheme in the process of training the model. the capsule neural network is found to be suitable for the field of pill defect recognition through *** CONCEPTS • computing methodologies∼Visual content-based indexing

关键词： capsule network image recognition Deep learning dynamic routing pill identification

来源：评论

学校读者我要写书评

暂无评论

Study of multi-unit UAV in the Optimal global Scheduling of High Voltage Tower Management Application 6th

Study of Multi-unit UAV in the Optimal Global Scheduling of ...

引用

6th international conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021

作者： Chang, Kuo-Chi Chu, Kai-Chun Chang, Fu-Hsiang Wang, Hsiao-Chuan Hsu, Tsui-Lien Lin, Yuh-Chung Sung, Tien-Wen Trong-the, Nguyen Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China School of Information Science and Engineering Fujian University of Technology Fuzhou China School of Management Fujian University of Technology Fuzhou China Department of Tourism Shih-Hsin University Taipei Taiwan Institute of Environmental Engineering National Taiwan University Taipei Taiwan Institute of Construction Engineering and Management National Central University Taoyuan Taiwan College of Mechanical and Electrical Engineering National Taipei University of Technology Taipei Taiwan Department of Business Administration North Borneo University College Kota Kinabalu Sabah Malaysia

ISBN: (纸本)9783030697167

In power grids and towers of tens of kilometers, it is impractical to use only one drone for inspection and cleaning operations. the joint operation of multiple UAVs complies with the effectiveness and efficiency arrangements. However, in the case of joint flight and operation of multiple UAVs, GOS becomes important, which is also the important core of this research. this study mainly applies the combined optimization of hyperbolic partial differential equations through the mathematical wave vibration model to achieve the GOS of multi-unit UAV collaborative power grids and towers detection and cleaning system. this study analyzed the flight position convergence, and found that the OCS of multi-unit UAV collaborative power grids and towers detection and cleaning system in this study is more capable of controlling the flight position than the previous method, and the data is similar to 90 m. Also, the time delay error is also compared. the result can also be seen that the OCS of this study is better than the traditional method by about 0.2 under the same iteration steps. To sum up the foregoing, this study believes that the OCS of multi-unit UAV collaborative power grids and towers detection and cleaning system in this study has better tracking and matching capabilities of position and flight speed of UAV, with less delay error and better convergence, so it can provide the robustness and reliability of OCS that meet our needs. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Internet of things

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 << < 491 492 493 494 495 496 497 498 499 500 > >>

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：