检索结果-内蒙古大学图书馆

An adaptive differential evolution approach for the maximal synchronization problem of feeder buses to metro

Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3548-3555页

作者： Shen, Yindong Wang, Siqi Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan Hubei430074 China School of Automation Huazhong University of Science and Technology Wuhan430074 China

This paper presents an adaptive differential evolution approach (DEMS for short) for the maximal synchronization between two most popular transit modes (i.e., bus and metro). Given a metro station, suppose the timetable of the metro system is precompiled, the DEMS approach is to produce timetables for the bus lines passing through the transfer points around the metro station. The objective is to achieve a maximal synchronization amongst the buses and metro. This is helpful to increase the ridership of metro systems and enhance the service level of an entire public transport system. In this paper, three types of simultaneous arrival are first defined, before an integer programming model is built for the maximal synchronization problem. Then, the DEMS approach is devised to solve the problem. Experiments on benchmark instances and a case study on a realworld problem demonstrate that the proposed DEMS approach can produce good results and is promising with good behavior of convergence. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Buses

来源：评论

学校读者我要写书评

暂无评论

Improved multi-step iterative algorithms for the fixed points of strongly pseudo-contractive mappings 11th

Improved multi-step iterative algorithms for the fixed point...

引用

11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Liu, Jiangrong Zhou, Kang Zeng, Shan Qi, Huaqing Song, Bosheng Wu, Tingfang Department of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036132

In Banach Spaces, we introduce a new improved multi-step iterative algorithm for the fixed points of strongly pseudo-contractive mappings, by proving the convergence for modified Mann iterative sequence, and that the multi-step iterative sequence and Mann iterative scheme are equivalent. We prove the convergence of iterative sequences generalized by the improved multi-step iterative algorithms. The results extend and improve the corresponding related results. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Banach spaces

来源：评论

学校读者我要写书评

暂无评论

The instantaneous linear motion information measurement method based on inertial sensors for ships

引用

AIP Conference Proceedings 2018年第1期1967卷

作者： Xu Yang Jing Huang Chen Gao Wei Quan Ming Li Yanshun Zhang 1School of Instrumentation Science & Optoelectronics Beihang University Beijing 100191 China 2Tianjin Zhong Wei Aerospace Data System Technology Co. Ltd Tianjin 300301 China 3Tianjin Key Laboratory of Intelligent Information Processing in Remote Sensing Tianjin 300100 China 4Military Representative Office Positioned in 699 Factory of PLA Beijing 100039 and China

Ship instantaneous line motion information is the important foundation for ship control, which needs to be measured accurately. For this purpose, an instantaneous line motion measurement method based on inertial sensors is put forward for ships. By introducing a half-fixed coordinate system to realize the separation between instantaneous line motion and ship master movement, the instantaneous line motion acceleration of ships can be obtained with higher accuracy. Then, the digital high-pass filter is applied to suppress the velocity error caused by the low frequency signal such as schuler period. Finally, the instantaneous linear motion displacement of ships can be measured accurately. Simulation experimental results show that the method is reliable and effective, and can realize the precise measurement of velocity and displacement of instantaneous line motion for ships.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An image threshold segmentation algorithm with hybrid evolutionary mechanisms based on membrane computing 11th

An image threshold segmentation algorithm with hybrid evolut...

引用

11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Liu, Shuo Zhou, Kang Zeng, Shan Qi, Huaqing Wu, Tingfang Department of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036101

Focused on the contradiction between selective pressure and population diversity in the optimization algorithm using hybrid evolutionary mechanisms, this paper proposes a membrane image threshold segmentation algorithm based on the idea of membrane computing. The proposal uses a hybrid tissue P system of three one-level-membranestructure (OLMS) membranes in which genetic algorithm (GA) and particle swarm optimal algorithm (PSO) are used as evolution operator. The proposed algorithm uses the communication rules and transfer rules to establish the interactions among the membranes, and then enhances the diversity of population in the system and improves the convergence of the algorithm. After comparing with the conventional methods, simulation results and dynamic behavior analysis show that the proposal evidently improve the validity and feasibility of the image segmentation algorithm. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Automatic Detection of Follicle in Ultrasound Images of Cattle Ovarian using MCL Method

Automatic Detection of Follicle in Ultrasound Images of Catt...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Jun Liu Hao Chen Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781509018987

This paper proposed a new full automated detection algorithm for ultrasound follicle images. The proposed algorithm uses multiple concentric layers (MCL) technology, which is based on the presence of concentric layers surrounding a focal area in the follicle region. The algorithm experiment is based on three processes, which include image preprocessing, detection of focal areas and multiple concentric layers criterion. The results are compared with the edge based method and demonstrate that the proposed algorithm is more effective in follicle detection.

关键词： ROI Ultrasound Image Follicle detection MCL

来源：评论

学校读者我要写书评

暂无评论

Prediction and Analysis of Hot Region in Protein-Protein Interactions

Prediction and Analysis of Hot Region in Protein-Protein Int...

引用

IEEE International Conference on Bioinformatics and Biomedicine

作者： Xiaoli Lin Xiaolong Zhang Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China 430065

ISBN: (纸本)9781509016129

Proteins play a crucial role in every organism, which perform a vast amount of functions. The hot regions in protein-protein interactions consist of hot spot residues in protein-protein binding sites which are called interfaces, can help proteins to perform their biological function. Residue based computational prediction of hot regions might be useful to understand the molecular mechanism and is crucial in drug design and protein design. However, it is very challenging to identify the hot regions in protein-proteins. In this paper, we have proposed a support vector machine based on ensemble learning system for predicting hot spot residues, and predicted hot regions in protein-protein interactions. The efficiency of our method is analyzed in identifying hot spots and hot regions in protein-protein interactions and the results obtained are compared with the existing techniques. The results demonstrate that the proposed method is superior to identify the hot spots and hot regions in the protein interfaces.

关键词： ensemble learning protein-protein interactions hot region hot spot binding sites

来源：评论

学校读者我要写书评

暂无评论

Intrusion detection of specific area based on video

Intrusion detection of specific area based on video

引用

International Congress on Image and Signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Hang Chen Dongfang Chen Xiaofeng Wang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial Wuhan China College of Co mputer Science and Technology Wuhan University of Science and Technology

ISBN: (纸本)9781509037117

In order to solve the problems of object detection and object tracking under complex scenes in video, this paper proposes a way to improve Gaussian Mixture Model algorithm based on the traditional Gaussian Mixture Model. When the model is updated, according to the characteristics of continuous video frame, the background model is divided into static regions and dynamic regions, and the background is updated in different strategies. Then, this paper presents an algorithm for the intrusion detection. Intrusion is judged by whether the centroid of the target is in the specific area. If the centroid is located outside the area, it shows that the target does not invade the specific area, otherwise the target invades the specific area. If so, the system triggers alarm and label information appear on the video frames. Experiments show that this algorithm can realize the intrusion detection of specific area.

关键词： Kalman filters Gaussian mixture model Object detection Intrusion detection Target tracking Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

An attribute reduction framework for inconsistent decision tables from view of the boundary region

An attribute reduction framework for inconsistent decision t...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jin Qian Yu-Hui Chang Ping Lv Jiangsu Key Laboratory of Big Data Analysis Technology/B-DAT Nanjing University of Information Science & Technology Nanjing China Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City Jiangsu University of Technology Changzhou China

ISBN: (纸本)9781509003914

Attribute reduction is one of the key issues for data preprocess in data mining. Many heuristic attribute reduction algorithms based on discernibility matrix have been proposed for inconsistent decision tables. However, these methods are usually computationally time-consuming. To address this issue, the derived consistent decision tables are defined for different definitions of relative reducts. The computations for different reducts of the original inconsistent decision tables are converted into the computations for their corresponding reducts of the derived consistent datasets. The relative discernibility object pair and the more optimal relative discernibility degree from view of the boundary region are designed to accelerate the attribute reduction process. An efficient attribute reduction framework using relative discernibility degree is proposed for large datasets. Experimental results show that our attribute reduction algorithms are effective and feasible for large inconsistent datasets.

关键词： Cybernetics Acceleration Time complexity Rough sets Heuristic algorithms Data mining Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Cyber-physical System Security for Networked Industrial Processes

引用

International Journal of Automation and computing 2015年第6期12卷 567-578页

作者： Shuang Huang Chun-Jie Zhou Shuang-Hua Yang Yuan-Qing Qin School of Automation Huazhong University of Science and Technology Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Computer Science Loughborough University

Cyber-physical systems(CPSs) are integrations of networks, computation and physical processes, where embedded computing devices continually sense, monitor, and control the physical processes through networks. Networked industrial processes combining internet, real-time computer control systems and industrial processes together are typical CPSs. With the increasingly frequent cyber-attack, security issues have gradually become key problems for CPSs. In this paper, a cyber-physical system security protection approach for networked industrial processes, i.e., industrial CPSs, is proposed. In this approach, attacks are handled layer by layer from general information technology(IT) security protection, to active protection, then to intrusion tolerance and physical security protection. The intrusion tolerance implemented in real-time control systems is the most critical layer because the real time control system directly affects the physical layer. This novel intrusion tolerance scheme with a closed loop defense framework takes into account the special requirements of industrial CPSs. To illustrate the effectiveness of the CPS security protection approach, a networked water level control system is described as a case study in the architecture analysis and design language(AADL) environment. Simulation results show that 3 types of injected attacks can be quickly defended by using the proposed protection approach.

关键词： Critical infrastructures cyber-physical systems(CP

来源：评论

学校读者我要写书评

暂无评论

UNSUPERVISED PERSON RE-IDENTIFICATION WITH LOCALITY-CONSTRAINED EARTH MOVER'S DISTANCE

UNSUPERVISED PERSON RE-IDENTIFICATION WITH LOCALITY-CONSTRAI...

引用

IEEE International Conference on Image processing

作者： Dan Wang Canxiang Yan Shiguang Shan Xilin Chen Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Institute of Deep Learning Baidu Inc.

ISBN: (纸本)9781467399623

The difficult acquisition of labeled data and the misalignment of local matching are major obstacles to apply person re-identification in real scenarios. To alleviate these problems, we propose an unsupervised method, called locality-constrained Earth Mover's Distance (LC-EMD), to learn the optimal measure between image pairs. Specifically, Gaussian mixture models (GMMs) are learned as signatures. By imposing locality constraints, LC-EMD can naturally achieve partial matching between Gaussian components. Moreover, LC-EMD has the analytical solution which can be efficiently computed. Experiments on two public datasets demonstrate LC-EMD is robust to misalignment and performs better than other unsupervised methods.

关键词： Identification of persons Distance learning Gaussian mixture model Distance learning Misalignment Mixture models EARTHMOVER

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：