检索结果-内蒙古大学图书馆

2010 IEEE/RSJ International Conference on intelligent Robots and systems

作者： Fredy Tungadi Wen Lik Dennis Lui Lindsay Kleeman Ray Jarvis Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University Australia

This paper describes a probabilistic online map merging system for a single mobile robot. It performs intermittent exploration by fusing laser scan matching and omnidirectional vision. Moreover, it can also be adapted to a multi-robot system for large scale environments. Map merging is achieved by means of a probabilistic Haar-based place recognition system using omnidirectional images and is capable of discriminating new and previously visited locations in the current or previously collected maps. This dramatically reduces the search space for laser scan matching. The combination of laser range finding and omnidirectional vision is very attractive because they reinforce one another when there is sufficient structure and visual information in the environment. In other cases, they complement one another, leading to improved robustness of the system. This is the first system to combine a probabilistic Haar-based place recognition system using omnidirectional images with laser range finding to merge maps. The proposed system is also algorithmically simple, efficient and does not require any offline processing. Experimental results of the approach clearly illustrate that the proposed system can perform both online map merging and exploration robustly using a single robot configuration in a real indoor lab environment.

关键词： Merging Simultaneous localization and mapping Laser modes Probabilistic logic

来源：评论

学校读者我要写书评

暂无评论

Computationally effective stereovision SLAM

Computationally effective stereovision SLAM

引用

IEEE International Conference on Imaging systems and Techniques

作者： Nalpantidis, Lazaros Sirakoulis, Georgios Ch. Carbone, Andrea Gasteratos, Antonios Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace University Campus Kimmeria GR-67100 Xanthi Greece Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace University Campus Kimmeria GR-67100 Xanthi Greece Autoagent Laboratory for Cognitive Robotics Department of Computer and Systems Science University of Rome La Sapienza Via Ariosto 25 00185 Rome Italy

ISBN: (纸本)9781424464944

In this paper a visual Simultaneous Localization and Mapping (SLAM) algorithm suitable for indoor area measurement applications is proposed. The algorithm is focused on computational effectiveness. The only sensor used is a stereo camera placed onboard a moving robot. The algorithm processes the acquired images calculating the depth of the scenery, detecting occupied areas and progressively building a map of the environment. The stereo vision-based SLAM algorithm embodies a custom-tailored stereo correspondence algorithm, the robust scale and rotation invariant feature detection and matching Speeded Up Robust Features (SURF) method, a computationally effective v-disparity image calculation scheme, a novel map-merging module, as well as a sophisticated Cellular Automata (CA)-based enhancement stage. The proposed algorithm is suitable for autonomously mapping and measuring indoor areas using robots. The algorithm is presented and experimental results for self-captured image sets are provided and analyzed. © 2010 IEEE.

关键词： Stereo vision

来源：评论

学校读者我要写书评

暂无评论

Preface

Communications and Control Engineering

引用

Communications and Control engineering 2011年第9780857292551期 vii-xi页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore

来源：评论

学校读者我要写书评

暂无评论

Editorial Special issue on approximate dynamic programming and reinforcement learning

引用

控制理论与应用（英文版） 2011年第3期 309-309页

作者： Silvia Ferrari Jagannathan Sarangapani Frank L. Lewis Laboratory for Intelligent Systems and Control(LISC)Department of Mechanical Engineering & Materials Science Box 90300 Duke University Durham NC 27708-0005 Department of Electrical & Computer Engineering University of Missouri-Rolla MO 65401 U.S.A. Automation and Robotics Research Institute The University of Texas at Arlington 7300 Jack Newell Blvd. S Ft. Worth Texas 76118-7115 U.S.A.

We are extremely pleased to present this special issue of the Journal of Control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.

关键词： reinforcement learning dynamic programming optimal control effective approach prior knowledge Control Theory real-time control law problems special search future ADP basis

来源：评论

学校读者我要写书评

暂无评论

Particle swarm optimization of high-frequency transformer

Particle swarm optimization of high-frequency transformer

引用

36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010

作者： Qin, Hengsi Kimball, Jonathan W. Venayagamoorthy, Ganesh K. Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO 65409-0040 United States Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology Rolla MO 65409-0040 United States

ISBN: (纸本)9781424452262

A high frequency transformer is a critical component in a dual active bridge converter (DAB) used in a power electronics-based solid state transformer. Operation of a DAB converter requires its transformer to have a specific amount of winding leakage inductance. The demand for high efficiency requires minimization of transformer copper loss and core loss. Furthermore, available window area limits the winding arrangement of transformer. A hybrid of particle swarm optimization (PSO) and differential evolution (DE) is proposed to solve this multi-objective problem with constraints. DE provides diversity to pbest of each particle, which is missing in standard PSO. The differential evolution particle swarm optimization (DEPSO) algorithm is applied to find optimal transformer designs for DAB converters. Results show the DEPSO method is a generic effective way to find optimal high frequency transformer design. © 2010 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

Building detection in satellite images by textural features and Adaboost

Building detection in satellite images by textural features ...

引用

IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)

作者： Melih Cetin Ugur Halici Örsan Aytekin Computer Vision and Intelligent Systems Research Laboratory Department of Electrical and Electronics Engineering Middle East Technical University Turkey

A method based on textural features and Adaboost for detecting buildings in satellite images is proposed. Several local textural features including mean and standard deviation of image intensity and gradient, Zernike moments, Circular-Mellin features, Haralick features, Fourier Power Spectrum, Wavelets, Gabor Filters, and a set features extracted from HSV color space are extracted. Adaboost learning algorithm is employed for both classification and determining the beneficial feature subset, due to its feature selector nature. Some operation including morphological operators are applied for post processing. The approach was tested on a set of satellite images having different types of buildings and promising experimental results are achieved.

关键词： Buildings Feature extraction Pixel Satellites Classification algorithms Remote sensing Image color analysis

来源：评论

学校读者我要写书评

暂无评论

Improved learning in grid-to-grid neural network via clustering

Improved learning in grid-to-grid neural network via cluster...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： W. White K. Iftekharuddin A. Bouzerdoum Intelligent Systems and Image Processing Laboratory Department of Electrical and Computer Engineering University of Memphis TN USA Department of Electrical and Computer Engineering University of Memphis TN USA School of Electrical Computer and Telecommunications Engineering University of Wollongong Wollongong NSW Australia

The maze traversal problem involves finding the shortest distance to the goal from any position in a maze. Such maze solving problems have been an interesting challenge in computational intelligence. Previous work has shown that grid-to-grid neural networks such as the cellular simultaneous recurrent neural network (CSRN) can effectively solve simple maze traversing problems better than other iterative algorithms such as the feedforward multi layer perceptron (MLP). In this work, we investigate improved learning for the CSRN maze solving problem by exploiting relevant information about the maze. We cluster parts of the maze using relevant state information and show an improvement in learning performance. We also study the effect of the number of clusters on the learning rate for the maze solving problem. Furthermore, we investigate a few code optimization techniques to improve the run time efficiency. The outcome of this research may have direct implication in rapid search and recovery, disaster planning and autonomous navigation among others.

关键词： Euclidean distance Kalman filters Training Navigation Artificial neural networks Testing

来源：评论

学校读者我要写书评

暂无评论

intelligent Coordinated Control of a Wind Farm and Distributed Smartparks

Intelligent Coordinated Control of a Wind Farm and Distribut...

引用

Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Pinaki Mitra Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

Energy storage is generally recommended in presence of an intermittent source like wind farm for a better control over the power generation from the wind turbine with the variation of the wind speed. In this paper, the potential of plug-in electric vehicle parking lot (SmartPark) as an energy storage in a power system with a large wind farm has been investigated. Also, a fuzzy logic based coordination controller of the wind farm and the distributed SmartParks has been proposed in this paper. The fuzzy controller uses the total state-of-charge of the SmartParks and the difference between instantaneous demand and the available wind power generation as the inputs and thereby generates the charging or discharging power commands of the SmartParks and the pitch angle reference for the wind turbine. A 12-bus multimachine power system with a 400 MW wind farm is used as a test system. Six SmartParks are also connected to the same bus where the wind farm is connected. The entire model is developed in Real-Time Digital Simulator (RTDS) for power system. The results demonstrate the action of the coordinated controller to reduce the oscillations in the tie-line power flow with the sudden variations of the wind speed.

关键词： Wind farms Wind power generation Wind speed Niobium Energy storage Inverters Vehicles

来源：评论

学校读者我要写书评

暂无评论

Multi Level Clustering of Phylogenetic Profiles

Multi Level Clustering of Phylogenetic Profiles

引用

IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Fotis E. Psomopoulos Pericles A. Mitkas Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute Thessaloniki Greece Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to infer gene function. However, the availability of several fully sequenced genomes has enabled alternative approaches, such as phylogenetic profiles. Phylogenetic profiles are vectors which indicate the presence or absence of a gene in other genomes. The main concept of phylogenetic profiles is that proteins participating in a common structural complex or metabolic pathway are likely to evolve in a correlated fashion. In this paper, a multi level clustering algorithm of phylogenetic profiles is presented, which aims to detect inter- and intra-genome gene clusters.

关键词： Phylogeny Bioinformatics Genomics Clustering algorithms Databases Proteins Biomedical engineering intelligent systems Computational intelligence Software engineering

来源：评论

学校读者我要写书评

暂无评论

Computationally effective stereovision SLAM

Computationally effective stereovision SLAM

引用

IEEE International Workshop on Imaging systems and Techniques (IST)

作者： Lazaros Nalpantidis Georgios Ch. Sirakoulis Andrea Carbone Antonios Gasteratos Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Xanthi Greece Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Autoagent Laboratory of Cognitive Robotics Department of Computer and Systems Science University of Roma La Sapienza Rome Italy

关键词： Simultaneous localization and mapping Area measurement Robustness computer vision Robot vision systems Cameras Robot sensing systems robotics and automation Image analysis Algorithm design and analysis

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：