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 篇 会议

馆藏范围

11 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7 篇 工学
- 6 篇 计算机科学与技术...
- 6 篇 软件工程
- 2 篇 控制科学与工程
- 1 篇 机械工程
- 1 篇 信息与通信工程
- 1 篇 交通运输工程
- 1 篇 生物工程
3 篇 管理学
- 2 篇 管理科学与工程(可...
- 1 篇 图书情报与档案管...
2 篇 理学
- 1 篇 数学
- 1 篇 生物学
1 篇 法学
- 1 篇 社会学

主题

4 篇 vehicles
2 篇 roads
2 篇 delays
1 篇 global positioni...
1 篇 intrusion detect...
1 篇 traffic signals
1 篇 routing
1 篇 decision support...
1 篇 simulation
1 篇 safety
1 篇 traffic control
1 篇 big data
1 篇 algorithms
1 篇 intelligent vehi...
1 篇 parametric subha...
1 篇 connected vehicl...
1 篇 markov processes
1 篇 iterative method...
1 篇 optimization
1 篇 switches

机构

5 篇 key lab of urban...
4 篇 research institu...
4 篇 jiangsu province...
3 篇 china automotive...
3 篇 school of comput...
3 篇 beijing key labo...
3 篇 beijing advanced...
2 篇 school of inform...
2 篇 beijing key labo...
2 篇 ministry of publ...
2 篇 institute of int...
2 篇 beijing key labo...
2 篇 jiangsu province...
1 篇 xueyuan road no....
1 篇 key lab. of urba...
1 篇 china automotive...
1 篇 beijing key labo...
1 篇 department of cp...
1 篇 ministry the key...
1 篇 key lab of urban...

作者

5 篇 daxin tian
4 篇 guo peng
4 篇 haiying xia
4 篇 wang wenyang
4 篇 tian daxin
4 篇 zhang haijun
3 篇 duan xuting
3 篇 rong hui
3 篇 yunpeng wang
2 篇 guohui zhang
2 篇 jiajie wang
2 篇 zheng kunxian
1 篇 jian wang
1 篇 liu wenhao
1 篇 fengtian cai
1 篇 liang zijun
1 篇 yong yuan
1 篇 qin chenchen
1 篇 hong chen
1 篇 zhou yulin

语言

11 篇 英文

检索条件"机构=Key Lab. of Urban ITS Technology Optimization and Integration"

共 11 条记录，以下是1-10 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：

The design and optimization of overlapping phase combination for isolated intersection 4

The design and optimization of overlapping phase combination...

引用

4th International Conference on Transportation Information and Safety, ICTIS 2017

作者： Liang, Zijun Chen, Hong Qin, Chenchen Zhou, Yulin Fang, Wei Chang'An University Xi'an China Key Lab of Urban ITS Technology Optimization and Integration Ministry Hefei China Institute of Intelligent Machines Chinese Academy of Sciences Heifei China

ISBN: (纸本)9781538604373

To reduce the waste of green time as a result of unbalance of non-conflict streams, a method of overlapping phase was introduced. The design and optimization for overlapping phase combination is proposed in the paper. There are two steps of optimization in the process. Firstly to select a best group among the possible phase combination including overlapping phase by calculating the minimal cycle flow ratio of the group, secondly to use the object of minimum total delay based Particle Swarm optimization approach to obtain optimal green time for each phase. The method is applied at the intersection of Xiuning Road and Hezuohua Road in Hefei, China. It shows that the waste of green time is diminished by overlapping phase. The total delay is reduced in large scale. The result was proved by simulation of Vissim and showed the method is effective in upgrading the traffic signal control program. © 2017 IEEE.

关键词： Traffic signals

来源：评论

学校读者我要写书评

暂无评论

The design and optimization of overlapping phase combination for isolated intersection

The design and optimization of overlapping phase combination...

引用

International Conference on Transportation Information and Safety (ICTIS)

作者： Zijun Liang Hong Chen Chenchen Qin Yulin Zhou Wei Fang Ministry The key Lab of Urban ITS Technology Optimization and Integration Hefei China Chang'an University Xi-an China Institute of Intelligent Machines Chinese Academy of Sciences Heifei China

关键词： Delays optimization Roads Switches Safety

来源：评论

学校读者我要写书评

暂无评论

A route travel time distribution prediction method based on Markov chain

A route travel time distribution prediction method based on ...

引用

IEEE International Smart Cities Conference (ISC2)

作者： Daxin Tian Yong Yuan Haiying Xia Fengtian Cai Yunpeng Wang Jiajie Wang Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China Research Institute of Highway Ministry Transport Beijing China

Predicting the travel time in real time is challenging due to dynamic changes of the traffic. With the help of GPS, wireless mobile communication, and big data technologies, several link travel time distribution capturing algorithms have emerged to generate the prediction of the route travel time distribution in short term. In this paper, we propose a data fusion model which can combine the historical and real time distribution to predict the link level travel time distribution. In the model, the route is represented with Markov chain, where the Markov state is identified by the travel time of probe vehicles. Experimental results prove that the proposed method has high accuracy in predicting route travel time distribution, and it is robust in spite of the fluctuation of real-time data.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

A method of visual management platform for connected vehicles data

A method of visual management platform for connected vehicle...

引用

International Conference on Connected Vehicles and Expo (ICCVE)

作者： Yunpeng Wang Yuzhou Li Daxin Tian Jian Wang Jiajie Wang School of Information Engineering Academy of Armored Forces Engineering Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Key Lab. of Urban ITS Technology Optimization and Integration Ministry of Public Security of China Hefei China

At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data. Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.

关键词： Data visualization Big data Vehicles Databases Connected vehicles Market research

来源：评论

学校读者我要写书评

暂无评论

A Modified Asynchronous PSO Algorithm

A Modified Asynchronous PSO Algorithm

引用

Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Daxin Tian Junjie Hu Haiying Xia He Liu The Ministry of Public Security of China Key Lab of Urban ITS Technology Optimization and Integration Hefei Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China Research Institute of Highway Ministry Transport Beijing China Department of CPLA The Quartermaster Equipment Institute of the General Logistics Beijing China

ISBN: (纸本)9781467372121

To analyze the convergence of PSO algorithm, a method based on two order constant coefficient recursive method is proposed in this paper. A new way to modify PSO and APSO algorithm achieved by adjusting the progress of algorithm is also proposed, thus forming MPSO and MAPSO algorithm, and this paper also presents Auto-regulative PSO algorithm which can automatically adjust parameters in the iterations. Ten basic functions are used for experiments to study the performance of the algorithms, and the results of experiments prove that Auto-regulative PSO algorithm and MAPSO are superior to MPSO and APSO respectively.

关键词： particle swarm optimisation iterative methods iterative methods Particle swarm optimization parametric subharmonic oscillator Methylprednisolone Suleptanate algorithms

来源：评论

学校读者我要写书评

暂无评论

A Novel Intrusion Detection System Based on Advanced Naive Bayesian Classification 1st

A Novel Intrusion Detection System Based on Advanced Naive B...

引用

1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Wang, Yunpeng Li, Yuzhou Tian, Daxin Wang, Congyu Wang, Wenyang Hui, Rong Guo, Peng Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Intrusion Detection System is a pattern recognition task whose aim is to detect and report the occurrence of abnormal or unknown network behaviors in a given network system being monitored. In this paper, we propose a machine learning model, advanced Naive Bayesian Classification (NBC-A) which is based on NBC and ReliefF algorithm, to be used in the novel IDS. We use ReliefF algorithm to give every attribute of network behavior in KDD’99 dataset a weight that reflects the relationship between attributes and final class for better classification results. The novel IDS has a higher True Positive (TP) rate and a lower False Positive (FP) rate in detection performance. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

An Evaluation Model for Epidemic Routing in VANETs

An Evaluation Model for Epidemic Routing in VANETs

引用

Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Daxin Tian Yue Yang Haiying Xia Guohui Zhang Ministry of Public Security of China Key Lab of Urban ITS Technology Optimization and Integration Hefei China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China Research Institute of Highway Ministry Transport Beijing China School of Information Engineering Academy of Armored Forces Engineering Beijing China

ISBN: (纸本)9781467372121

Epidemic routing has emerged as a promising candidate for providing message dissemination method in vehicular ad hoc networks. In this paper, we present a novel model to evaluate the capacity of epidemic routing in vehicular networks with considering the traffic signal control as a significant factor in urban area. Our study reveal that epidemic routing can behave differently in various traffic signal control situations where messages can be forwarded by vehicles passing through the intersections from other directions. The simulation results prove the accuracy of the model.

关键词： Roads Vehicles Delays Routing Turning Simulation Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

A Vehicular Positioning Enhancement with Connected Vehicle Assistance Using Extended Kalman Filtering 1st

A Vehicular Positioning Enhancement with Connected Vehicle A...

引用

1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Tian, Daxin Liu, Wenhao Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach called CV-IMM-EKF. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Global positioning system

来源：评论

学校读者我要写书评

暂无评论

REFF: REliable and Fast Forwarding in Vehicular Ad-hoc Network 1st

REFF: REliable and Fast Forwarding in Vehicular Ad-hoc Netwo...

引用

1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Tian, Daxin Dai, Ziyi Zheng, Kunxian Zhou, Jianshan Duan, Xuting Guo, Peng Rong, Hui Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Vehicular Ad-Hoc Network (VANET) has emerged as an increasingly dominant technology for future connected vehicle and vehicular networks, where the focus of the development of VANET lies in the standardization of message transmission and dissemination via multi-hop broadcasting. However, the current communication protocols concerning VANET face many challenges, including data flooding and collision, transmission delay and other problems. Most of the challenges are closely related to next-hop selection. Therefore, this paper proposes a new routing protocol named REliable and Fast Forwarding (REFF) to optimize the selection of nodes in VANET. In this protocol, node filtering and node evaluation are two main steps. Distance between previous node and candidate node, relative velocity between previous node and candidate nodes, included angle between direction of target node’s velocity and candidate node’s velocity and transmission power of candidate node are adopted as indexes to help select a specific node as the next hop using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). By using this technique, the number of candidates as next-hop is largely reduced, avoiding the data flooding and resulting transmission relay. In addition, simulations based on experiments are done to verify the feasibility. The results show that message achieves a faster and more reliable transmission using REFF. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish 1st

Modeling and Simulation on Cooperative Movement of Vehicle G...

引用

1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Tian, Daxin Kang, Lu Zheng, Kunxian Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No.37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No.68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No.30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No.37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the cooperative movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicles

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2页 << < 1 2 > >>

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：