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

18,408 篇 会议
214 册 图书
195 篇 期刊文献

馆藏范围

18,814 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

13,443 篇 工学
- 9,749 篇 计算机科学与技术...
- 6,614 篇 软件工程
- 3,603 篇 控制科学与工程
- 2,471 篇 信息与通信工程
- 2,308 篇 电气工程
- 1,742 篇 光学工程
- 1,518 篇 机械工程
- 1,119 篇 生物工程
- 910 篇 电子科学与技术（可...
- 863 篇 生物医学工程（可授...
- 785 篇 仪器科学与技术
- 574 篇 动力工程及工程热...
- 543 篇 交通运输工程
- 513 篇 安全科学与工程
- 502 篇 材料科学与工程（可...
- 454 篇 化学工程与技术
- 349 篇 土木工程
- 335 篇 网络空间安全
5,374 篇 理学
- 2,372 篇 物理学
- 2,288 篇 数学
- 1,232 篇 生物学
- 598 篇 统计学（可授理学、...
- 590 篇 系统科学
- 449 篇 化学
2,427 篇 管理学
- 1,726 篇 管理科学与工程(可...
- 830 篇 图书情报与档案管...
- 687 篇 工商管理
1,095 篇 医学
- 972 篇 临床医学
- 561 篇 基础医学(可授医学...
- 362 篇 药学(可授医学、理...
363 篇 法学
259 篇 经济学
253 篇 农学
218 篇 教育学
64 篇 军事学
25 篇 艺术学
20 篇 文学
3 篇 哲学

主题

1,582 篇 computer vision
370 篇 deep learning
314 篇 computer archite...
282 篇 cameras
255 篇 object detection
253 篇 computational mo...
238 篇 control systems
236 篇 computer science
220 篇 image segmentati...
211 篇 feature extracti...
209 篇 internet of thin...
187 篇 access control
173 篇 machine vision
158 篇 neural networks
137 篇 artificial intel...
132 篇 face recognition
130 篇 process control
130 篇 real-time system...
129 篇 data mining
128 篇 support vector m...

机构

47 篇 chitkara univers...
46 篇 school of comput...
43 篇 school of contro...
29 篇 maharishi school...
24 篇 karnataka bangal...
21 篇 school of comput...
19 篇 maharishi school...
17 篇 chitkara univers...
17 篇 college of compu...
15 篇 university of ch...
15 篇 school of comput...
14 篇 south china univ...
14 篇 dept. of compute...
14 篇 department of co...
14 篇 chitkara univers...
14 篇 college of compu...
13 篇 school of comput...
12 篇 school of comput...
12 篇 centre of interd...
12 篇 school of comput...

作者

19 篇 wang lei
18 篇 li yang
17 篇 wang wei
16 篇 yang yang
14 篇 liu yang
13 篇 wang hui
13 篇 ryszard tadeusie...
13 篇 marcin korytkows...
12 篇 wang ping
12 篇 wang jian
12 篇 sato jun
12 篇 jacek m. zurada
11 篇 zhang tao
11 篇 sakaue fumihiko
11 篇 zhang lei
11 篇 huang tinglei
11 篇 liu lei
10 篇 lei wang
10 篇 li xin
10 篇 wang jing

语言

17,964 篇 英文
746 篇 其他
119 篇 中文
16 篇 俄文
7 篇 西班牙文
2 篇 法文
2 篇 土耳其文

检索条件"任意字段=Proceedings of the 3rd International Conference on Control and Computer Vision"

共 18817 条记录，以下是4461-4470 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：

A Confrontational Bare Bones Particle Swarm Optimization Algorithm 3

A Confrontational Bare Bones Particle Swarm Optimization Alg...

引用

3rd international conference on Electrical Engineering and control Technologies, CEECT 2021

作者： Guo, Jia Sato, Yuji Hubei University of Economics School of Information and Communication Engineering Wuhan China Hosei University Faculty of Computer and Information Science Tokyo Japan

ISBN: (纸本)9781665440417

Optimization problems are common and important in artificial intelligence. Population-based methods are usually used in solving these problems. However, in recent years, optimization problems become complicated and high dimensional. Traditional methods are difficult to present effective results when searching in the high dimensional hyper-cube. To cross these shortcomings, a novel confrontational bare bones particle swarm optimization (CBBPSO) algorithm is proposed in this paper. Different from traditional population-based algorithms, the global worst particle is also recorded by the CBBPSO. A new confrontation operator is proposed. The confrontation operator offers every particle a second choice. In each iteration, each particle can move to the global best particle or the global worst particle. To verify the optimization ability of the proposed method, five famous benchmark functions from CEC2005 are used in the experiment. Experimental results show that the CBBPSO can solve high-dimensional optimization problems. © 2021 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Noise Reduction Method for Long Period Magnetotelluric Signals Based on VMD-Wavelet Thresholding

Noise Reduction Method for Long Period Magnetotelluric Signa...

引用

computer Science, Electronic Information Engineering and Intelligent control Technology (CEI), IEEE international conference on

作者： Xin Ke Zhihua Li School of Automation China University of Geosciences (Wuhan) Wuhan China

ISBN: (数字)9798350372052

ISBN: (纸本)9798350372069

This article proposes a noise reduction method for long-period magnetotelluric (MT) data that combines Variational Mode Decomposition (VMD) with wavelet thresholding (WT). Firstly, the signal is decomposed and combined with correlation coefficients to screen component signals. Then, the outliers of the component signals are identified and replaced using the median absolute deviation. The filtered component signals are denoised and reconstructed using wavelet thresholding to obtain denoised magnetotelluric signals.

关键词： Correlation coefficient computer science Magnetic separation Noise reduction Signal to noise ratio Intelligent control

来源：评论

学校读者我要写书评

暂无评论

Emergency Braking control Design for a Dual Cart-Trolley Overhead Crane

Emergency Braking Control Design for a Dual Cart-Trolley Ove...

引用

Electrical, computer, Communications and Mechatronics Engineering (ICECCME), international conference on

作者： Shivani Raj B. Sandeep Reddy Department of Mechanical Engineering Indian Institute of Technology Guwahati Guwahati India

Overhead cranes are machines typically used in transportation industries for carrying heavy loads. The typical problem in overhead cranes, also known as the anti-swing control problem, deals with minimizing the payload swing during the travel of the overhead crane. However, recent literature has reported another problem keeping in view industrial safety requirements- namely, the emergency braking problem. This problem deals with the development of control laws to ensure sufficiently fast cart braking to avoid collisions with objects in the path of the crane or payload while maintaining minimal payload swing. This problem is difficult given its contradictory objectives, i.e. quick cart braking and minimization of payload swing. In this paper, we propose a dual cart-trolley system- i.e. a trolley inside a cart to which the payload is suspended and we demonstrate emergency braking to avoid collisions with objects for such a system. The system is modeled as a single pendulum ignoring effects of payload swing relative to the cable to maintain simplicity. A sliding mode controller is used to achieve emergency braking in the presence of external disturbances, parameter uncertainties and varying initial conditions. The future prospects of this work are enormous. Given that this system falls in the same class of systems as drones carrying payloads, and drones often require halting in emergency scenarios, this work may be applied to drones in the future.

关键词：

来源：评论

学校读者我要写书评

暂无评论

New Benchmarks and Optimization Model for the Storage Location Assignment Problem 3

New Benchmarks and Optimization Model for the Storage Locati...

引用

3rd international conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2022

作者： Oxenstierna, Johan Malec, Jacek Krueger, Volker Dept. of Computer Science Lund University Lund Sweden Kairos Logic AB Lund Sweden

The Storage Location Assignment Problem (SLAP) is of primary significance to warehouse operations since the cost of order-picking is strongly related to where and how far vehicles have to travel. Unfortunately, a generalized model of the SLAP, including various warehouse layouts, order-picking methodologies and constraints, poses a highly intractable problem. Proposed optimization methods for the SLAP tend to be designed for specific scenarios and there exists no standard benchmark dataset format. We propose new SLAP benchmark instances on a TSPLIB format and show how they can be efficiently optimized using an Order Batching Problem (OBP) optimizer, Single Batch Iterated (SBI), with a Quadratic Assignment Problem (QAP) surrogate model (QAP-SBI). In experiments we find that the QAP surrogate model demonstrates a sufficiently strong predictive power while being 50-122 times faster than SBI. We conclude that a QAP surrogate model can be successfully utilized to increase computational efficiency. Further work is needed to tune hyperparameters in QAP-SBI and to incorporate capability to handle more SLAP scenarios. Copyright © 2022 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Distributed Parametric Model Predictive control of Street Lighting

Distributed Parametric Model Predictive Control of Street Li...

引用

Electrical, computer, Communications and Mechatronics Engineering (ICECCME), international conference on

作者： Husam I. Shaheen Marina Gapit Ana Martinović Vinko Lešić Laboratory for Renewable Energy Systems University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

Designing a distributed Model Predictive control (MPC) system for street lighting is characterized by optimization computational complexity, communication burden, lack of tailored reference setpoint of each lamp, etc. This paper proposes a distributed-MPC approach for street lighting with an adaptive dimming profile. The street is first divided into zones and each zone may contain one or more lamps. The adaptive dimming profile is generated within a simulation environment based on the local data of weather, pedestrian, traffic, and original dimming profile. Each zone has its own MPC controller which calculates optimal lighting control actions, and it may have its own reference setpoint. These zones, and thus the controllers, communicate with each other mutually and iteratively toward a joint lighting energy efficiency goal of the whole street. Only essential data is transmitted to the central controller. To verify the validity and effectiveness of the proposed approach, a one year simulation is conducted using MATLAB/Simulink environment. Simulation results show that the proposed distributed-MPC algorithm can save up to 34.85% of the operating costs. The results also showed that the proposed algorithm can achieve a good performance of the whole system with limited burden of communications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3D Object Detection Algorithm Based on Point Cloud Multi-View Fusion 3

3D Object Detection Algorithm Based on Point Cloud Multi-Vie...

引用

3rd international conference on computer Engineering and Intelligent control, ICCEIC 2022

作者： Liu, Yuan Fang, Zhanlei Li, Yanqiang Wang, Kang Wang, Yong Zhang, Chao Jinan China School of Control Sciences and Engineering Shandong University Jinan China

The 3D object detection algorithm based on a single view of point cloud has limitations and cannot meet the requirements of complex scenes such as autonomous driving. And most of the existing point cloud multi-view fusion algorithms only focus on two views, and the fusion method is inefficient and simple. In order to coordinate the multiple view representations of point clouds, make full use of the advantages of different views, and alleviate their respective shortcomings in the 3D object detection task, we propose a multi-view fusion detection algorithm, namly PVR-SSD (Point-Voxel-Range Single Stage object Detector). PVR-SSD takes the point-based anchor-free center assignment algorithm as the backbone, and performs point cloud multi-view fusion in two parts. In the downsampling part, a point-range segmentation network is used for selective downsampling to increase the proportion of foreground points, especially small object points. In the feature fusion part, a point-voxel-range feature fusion module is designed, and an attention mechanism is introduced to adaptively aggregate multi-view features with the point-based view as an intermediate carrier. Finally, all-round evaluations on the highly competitive KITTI dataset demonstrate the effectiveness of the proposed algorithm. © 2022 Copyright for this paper by its authors.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Handover Enhancement in Wireless Communication-Based Train control Systems 3

Handover Enhancement in Wireless Communication-Based Train C...

引用

3rd international conference on Electrical, Communication and computer Engineering, ICECCE 2021

作者： Nyandika Kimwele Okeyo School of Computing and Information Technology Jomo Kenyatta University of Agriculture and Technology Kenya

ISBN: (纸本)9781665438971

The paper introduces handover system by use of two radio connections fitted in the train operating on different channels as well as use of the train's location and directional information to aid in reducing ping pong during handover. The paper formulates the Global Systems for Mobiles Railway (GSM-R) algorithm to help make decisions on when to handover with the objective of minimizing the handoff latency. These measures allow seamless connection to the network while moving along the railway boundaries which improves communication. This reduces outage duration. Simulation of the system is done using MATLAB. The algorithm used is disruption free and quite effective in high speed train travel, and the handoff decision is very efficient and more exact. This will therefore significantly improve service availability and reduce latency in data communication. © 2021 IEEE.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Which performs better, linear scanning or the KNN searching algorithm based on 2D grids?

Which performs better, linear scanning or the KNN searching ...

引用

Robotics, Automation and Intelligent control (ICRAIC), international conference on

作者： Tong Ji Yifeng Lin Yuer Yang Hui Liu College of Information Science and Technology Jinan University Guangzhou China College of Cyber Security Jinan University Guangzhou China Department of Computer Science The University of Hong Kong Hong Kong China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China

The K-nearest neighbor (KNN) algorithm is widely used in navigation, such as traffic management, driverless vehicles, and logistics planning. While it offers powerful instance-based learning, its performance can be influenced by data distribution and distance metric choice, and scalability can be an issue with large datasets. In this paper, we compare KNN with linear scanning in 2D grid-based search algorithms. KNN excels in accuracy, multidimensional feature processing, flexibility, and stepwise optimization, making it a strong choice for efficient and accurate 2D grid data search. Especially when the dimension of the grid is 200 * 200 and the grade is 1, the performance of KNN is 99.70% better than linear scanning. However, we acknowledge that KNN’s performance hinges on distance metric selection, and different metrics may perform differently in various applications. KNN is also sensitive to noise and outliers, which highlights the need for future enhancements and optimizations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application of AI techniques for Face Mask Detection 4

Application of AI techniques for Face Mask Detection

引用

4th international conference on Advances in Computing, Communication control and Networking, ICAC3N 2022

作者： Arora, Metrey Arora, Yogesh Arora, Mamta Manav Rachna University Computer Science Department Haryana Faridabad India

ISBN: (纸本)9781665474368

Covid-19 is a completely new problem, and we have seen it move to a brand new level. After the 3rd wave of Covid-19 in India and predictions of another wave this year it is a major concern and still many people are not following basic precautionary measures like wearing a mask in public locations this can be solved by our face mask detection program we want to be short a good way to respond to new facts, which they are all around us. Growing a secure environment can be paramount the human to make lifestyles as smooth as ever. Alternatives have to be taken to protect all who go back and to maintain them our loved ones who have no troubles. New era packages are being made each day to satisfy regulations and regulations but, the face mask becomes a new well known used for regular existence, but, to create a more secure surroundings that contributes to public protection, a want to be diagnosed at some stage in date and motion towards people who do not put on masks in public locations or offices. Many sections of the general public appear to simply accept Covid adherence protection gear. A face masks detector is among the most crucial equipment. This software allows one to find out who does not have the desired face masks. Those applications with them current tracking systems and neural network algorithm to see if an individual has put on a mask or not. About this, we'll do discussion in short the synthetic intelligence and its small additives specifically device gaining knowledge of and in-intensity analysing, in-intensity reading frameworks followed with the aid of the usage of simplicity implementation of face masks detection machine. © 2022 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

An Enhanced Puma Optimizer for Cloud Computing Task Scheduling

An Enhanced Puma Optimizer for Cloud Computing Task Scheduli...

引用

Robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Li Bang Wu Shaobo Li Fengbin Wu Rongxiang Xie College of Computer Science and Technology Laboratory of Public Big Data Guizhou University State Key Guizhou China State Key Laboratory of Public Big Data Guizhou University Guizhou China College of Computer Science and Technology Guizhou University Guizhou China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

Aiming at the lack of accuracy of puma optimizer in cloud task scheduling, an improved task scheduling method based on puma optimizer is proposed by combining the intermediate point sample learning strategy and S-shaped transfer function (MSPO). Among them, the middle point sample learning strategy improves the searching ability of the algorithm, while the S-shaped transfer function reduces the response time of the system, thus speeding up the execution speed of the algorithm. By testing different scale problems, it is proved that MSPO can effectively reduce the cost of consumption.

关键词： Cloud computing Costs Processor scheduling Metaheuristics Transfer functions Scheduling Time factors

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 << < 443 444 445 446 447 448 449 450 451 452 > >>

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：