检索结果-内蒙古大学图书馆

A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Qu, Xiujie Huo, Haili Lian, Sitong Zhao, Fei Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China

Because of the differences of imaging time, position between sensor and target position, scaling, rotation, translation, and other transformations between the series of images will be generated by the imaging system. The conventional phase correlation algorithm has been widely applied because of its advantages of high speed, precision, and weak influence of the geometric distortion when computing these changing parameters. However, when the scaling factor and the rotation angle are too large, it is difficult to use the conventional phase correlation method for high precision registration. To solve this problem, this paper presents a novel method, which combines the speeded up robust features algorithm and the phase correlation method under the log polar. Through local region extraction and reusing a two-step iterative phase correlation algorithm, this method avoids excessive computation and the demand of characteristics of the image and effectively improves the accuracy of registration. A plurality of visible light image simulation verifies that this is a fast, accurate, and robust algorithm, even when the image has large angle rotation and large multiple scaling.

关键词： IMAGE registration FEATURE extraction (Data processing) computer algorithms CORRELATION (Statistics) TRANSFORMATIONS (Mathematics)

来源：评论

学校读者我要写书评

暂无评论

Keyword Search over Probabilistic XML Documents Based on Node Classification

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-11页

作者： Zhao, Yue Yuan, Ye Wang, Guoren Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China

This paper describes a keyword search measure on probabilistic XML data based on ELM (extreme learning machine). We use this method to carry out keyword search on probabilistic XML data. A probabilistic XML document differs from a traditional XML document to realize keyword search in the consideration of possible world semantics. A probabilistic XML document can be seen as a set of nodes consisting of ordinary nodes and distributional nodes. ELM has good performance in text classification applications. As the typical semistructured data;the label of XML data possesses the function of definition itself. Label and context of the node can be seen as the text data of this node. ELM offers significant advantages such as fast learning speed, ease of implementation, and effective node classification. Set intersection can compute SLCA quickly in the node sets which is classified by using ELM. In this paper, we adopt ELM to classify nodes and compute probability. We propose two algorithms that are based on ELM and probability threshold to improve the overall performance. The experimental results verify the benefits of our methods according to various evaluation metrics.

关键词： KEYWORD searching PROBABILITY theory XML (Document markup language) ELECTRONIC data processing SET theory computer algorithms

来源：评论

学校读者我要写书评

暂无评论

Particle Swarm Optimization Based Selective Ensemble of Online Sequential Extreme Learning Machine

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-10页

作者： Liu, Yang He, Bo Dong, Diya Shen, Yue Yan, Tianhong Nian, Rui Lendasse, Amaury Ocean Univ China Sch Informat Sci & Engn Qingdao 266100 Peoples R China China Jiliang Univ Sch Mech & Elect Engn Hangzhou 310018 Zhejiang Peoples R China Univ Iowa Dept Mech & Ind Engn Iowa City IA 52242 USA Univ Iowa Iowa Informat Initiat Seamans Ctr 3131 Iowa City IA 52242 USA Arcada Univ Appl Sci Helsinki 00550 Finland

A novel particle swarm optimization based selective ensemble (PSOSEN) of online sequential extreme learning machine (OS-ELM) is proposed. It is based on the original OS-ELM with an adaptive selective ensemble framework. Two novel insights are proposed in this paper. First, a novel selective ensemble algorithm referred to as particle swarm optimization selective ensemble is proposed, noting that PSOSEN is a general selective ensemble method which is applicable to any learning algorithms, including batch learning and online learning. Second, an adaptive selective ensemble framework for online learning is designed to balance the accuracy and speed of the algorithm. Experiments for both regression and classification problems with UCI data sets are carried out. Comparisons between OS-ELM, simple ensemble OS-ELM (EOS-ELM), genetic algorithm based selective ensemble (GASEN) of OS-ELM, and the proposed particle swarm optimization based selective ensemble of OS-ELM empirically show that the proposed algorithm achieves good generalization performance and fast learning speed.

关键词： PARTICLE swarm optimization MACHINE learning DISTANCE education computer algorithms REGRESSION analysis DATA security BIG data

来源：评论

学校读者我要写书评

暂无评论

RBF neural network based second-order sliding mode guidance for Mars entry under uncertainties

引用

AEROSPACE SCIENCE AND TECHNOLOGY 2015年第Jun.期43卷 226-235页

作者： Li, Shuang Jiang, Xiuqiang Nanjing Univ Aeronaut & Astronaut Coll Astronaut Nanjing 210016 Jiangsu Peoples R China Nanjing Univ Aeronaut & Astronaut Space New Technol Lab Nanjing 210016 Jiangsu Peoples R China

There are usually larger uncertainties in the atmosphere density of Mars and the aerodynamic parameters of entry vehicles, which inevitably degrades the performance of entry guidance and control algorithms. This paper studies the robust Mars atmospheric entry guidance design based on the radial basis function neural network (RBF-NN) and second-order sliding mode control (SOSMC). First, second-order sliding mode guidance (SOSMG) law is developed to robustly follow the pre-designed nominal trajectory under larger uncertainties and effectively reduce the longitudinal error. Then, the RBF neural network is included into the second-order sliding surface guidance law to online approximate the bounded uncertain terms and further improve the guidance accuracy. Finally, the effectiveness of the guidance algorithm proposed in this paper is confirmed by Monte Carlo simulations. (C) 2015 Elsevier Masson SAS. All rights reserved.

关键词： Uncertainty Sliding mode Neural network aerodynamic parameters Mars computer algorithms Guidance accuracy of guidance Radial basis function networks entry

来源：评论

学校读者我要写书评

暂无评论

Michaelis-Menten reaction scheme as a unified approach towards the optimal restart problem

引用

Physical Review E 2015年第6期92卷 060101(R)-060101(R)页

作者： Tal Rotbart Shlomi Reuveni Michael Urbakh School of Chemistry Tel-Aviv University Tel-Aviv 69978 Israel Department of Systems Biology Harvard Medical School 200 Longwood Avenue Boston Massachusetts 02115 USA

We study the effect of restart, and retry, on the mean completion time of a generic process. The need to do so arises in various branches of the sciences and we show that it can naturally be addressed by taking advantage of the classical reaction scheme of Michaelis and Menten. Stopping a process in its midst—only to start it all over again—may prolong, leave unchanged, or even shorten the time taken for its completion. Here we are interested in the optimal restart problem, i.e., in finding a restart rate which brings the mean completion time of a process to a minimum. We derive the governing equation for this problem and show that it is exactly solvable in cases of particular interest. We then continue to discover regimes at which solutions to the problem take on universal, details independent forms which further give rise to optimal scaling laws. The formalism we develop, and the results obtained, can be utilized when optimizing stochastic search processes and randomized computer algorithms. An immediate connection with kinetic proofreading is also noted and discussed.

关键词： RESEARCH Enzyme kinetics Chemical kinetics Molecular dynamics computer algorithms Michaelis-Menten mechanism

来源：评论

学校读者我要写书评

暂无评论

Numerical Reconstruction of Spring-Mass System from Two Nondisjoint Spectra

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-7页

作者： Pickmann, Hubert Egana, Juan C. Soto, Ricardo L. Univ Tarapaca Dept Matemat Arica 1010069 Chile Univ Catolica Norte Dept Matemat Antofagasta 1270709 Chile

A new numerical procedure is presented to reconstruct a fixed-free spring-mass system from two auxiliary spectra, which are nondisjoint. The method is amodification of the fast orthogonal reduction algorithm, which is less computationally expensive than others in the literature. Numerical results are obtained, showing the accuracy of the algorithm.

关键词： NUMERICAL analysis SPECTRUM analysis computer algorithms computer research ORTHOGONAL curves

来源：评论

学校读者我要写书评

暂无评论

Multi-objective design of advanced power distribution networks using restricted-population-based multi-objective seeker-optimisation-algorithm and fuzzy-operator

引用

IET GENERATION TRANSMISSION & DISTRIBUTION 2015年第11期9卷 1195-1215页

作者： Kumar, Deepak Samantaray, Subhransu Ranjan Kamwa, Innocent Indian Inst Technol Sch Elect Sci Bhubaneswar Orissa India Hydroquebec IREQ Power Syst & Math Varennes PQ Canada

This study proposes a method for designing advanced power distribution system (PDS) including distributed generations, using a combination of fundamental loop generator and multi-objective seeker-optimisation algorithm (MOSOA). The proposed approach reduces the searching space using fundamental loop generator technique to obtain initial feasible solutions which is further improved by SOA to generate new set of solutions with improved aptitude. The proposed methodology uses a contingency-load-loss-index for reliability evaluation, which is independent of the estimation of failure rate and fault repair duration of feeder branches. This planning strategy includes distribution automation devices such as automatic reclosers (RAs) to enhance the reliability of PDS. The proposed algorithm generates a set of non-dominated solution by simultaneous optimisation of two conflicting objectives (economic cost and system reliability) using Pareto-optimality-based trade-off analysis including a fuzzy-operation to automatically select the most suitable solution over the Pareto-front. The performance of the proposed approach is assessed and illustrated on 54-bus and 100-bus PDS, considering realtime design practices. Extensive comparisons are made against some well-known and efficient MO algorithms such as fast non-dominated sorting genetic algorithm-II, MO particle-swarm-optimisation and MO immunised-particleswarm-optimisation. Simulation results show that the proposed approach is accurate and efficient, and a potential candidate for large-scale PDS planning.

关键词： ELECTRIC power distribution ELECTRIC power distribution -- Automation OPERATOR theory computer algorithms ELECTRIC power distribution -- Reliability FUZZY mathematics

来源：评论

学校读者我要写书评

暂无评论

The Research of Temperature Compensation for Thermopile Sensor Based on Improved PSO-BP Algorithm

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-6页

作者： Li, Yuanjiang Li, Yuehua Li, Feng Zhao, Bin Li, QingQing Nanjing Univ Sci & Technol Sch Elect Engn & Optoelect Technol Nanjing 210094 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Sch Elect & Informat Zhenjiang 212003 Peoples R China Zhenjiang HJ Technol Co Ltd Zhenjiang 212003 Peoples R China

When thermopile sensor is used for safety monitoring of equipment in industrial environments, particularly for measuring the thermal radiation information of device, the measured result of this kind of sensor is usually affected by ambient temperature due to its unique structure. An improved PSO-BP algorithm is proposed for temperature compensation of thermopile sensor and correcting the error in the condition of the system accuracy requirements reduced by temperature. The core of improved PSO-BP algorithm is to improve the certainty of initial weights and thresholds that belonged to BP neural network and then train the samples by using BP neural network for enhancing the generalization ability and stability of system. The experimental results show that the proposed PSO-BP network outperforms other similar algorithms with faster convergence speed, lower errors, and higher accuracy.

关键词： TEMPERATURE compensation in electronic circuits THERMOPILES PARTICLE swarm optimization BACK propagation (Artificial intelligence) computer algorithms HEAT radiation & absorption

来源：评论

学校读者我要写书评

暂无评论

An Image Filter Based on Shearlet Transformation and Particle Swarm Optimization Algorithm

引用

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-9页

作者： Hu, Kai Song, Aiguo Xia, Min Fan, Zhiyong Chen, Xiaoying Zhang, Ruidong Zheng, Zhichen Nanjing Univ Informat Sci & Technol Nanjing 210044 Jiangsu Peoples R China Southeast Univ Nanjing 210000 Jiangsu Peoples R China PLA Univ Sci & Technol Nanjing 210000 Jiangsu Peoples R China

Digital image is always polluted by noise and made data postprocessing difficult. To remove noise and preserve detail of image as much as possible, this paper proposed image filter algorithm which combined the merits of Shearlet transformation and particle swarmoptimization (PSO) algorithm. Firstly, we use classical Shearlet transformto decompose noised image into many subwavelets under multiscale and multiorientation. Secondly, we gave weighted factor to those subwavelets obtained. Then, using classical Shearlet inverse transform, we obtained a composite image which is composed of those weighted subwavelets. After that, we designed fast and rough evaluation method to evaluate noise level of the new image;by using this method as fitness, we adopted PSO to find the optimal weighted factor we added;after lots of iterations, by the optimal factors and Shearlet inverse transform, we got the best denoised image. Experimental results have shown that proposed algorithmeliminates noise effectively and yields good peak signal noise ratio (PSNR).

关键词： IMAGE analysis TRANSFORMATIONS (Mathematics) PARTICLE swarm optimization computer algorithms ELECTRONIC data processing

来源：评论

学校读者我要写书评

暂无评论

Hybrid modal-balanced truncation method based on power system transfer function energy concepts

引用

IET GENERATION TRANSMISSION & DISTRIBUTION 2015年第11期9卷 1186-1194页

作者： Varricchio, Sergio Luis Freitas, Francisco Damasceno Martins, Nelson CEPEL Elect Energy Res Ctr BR-20001970 Rio De Janeiro RJ Brazil Univ Brasilia Dept Elect Engn BR-70910900 Brasilia DF Brazil

The combined use of modal and balanced truncations methods is proposed for model order reductions. To efficiently combine these methods, a stopping criterion based on spectral energy concepts is also proposed. This criterion was implemented into the code of the widely known subspace accelerated dominant pole algorithm (SADPA), designed to compute a set of dominant poles and associated residues of transfer functions from large-scale, sparse, linear descriptor systems. The resulting enhanced SADPA code automatically stops once the computed set of dominant poles and associated residues is sufficient to build a modal reduced order model (ROM) whose energy content approaches that of the complete model within a specified tolerance and considering a frequency window of interest. The number of dominant poles in this set is much smaller than the number of poles of the full system model. Hence, their state-space realisation usually has a small enough dimension for the efficient application of the square root balanced truncation method. This new method, named hybrid modal-balanced truncation, produces ROMs whose order are much smaller than that of the modal ROMs and, most importantly, can also be applied to unstable models.

关键词： ELECTRIC power systems -- Research HYBRID systems TRANSFER functions (Mathematics) SUBSPACES (Mathematics) SPECTRAL energy distribution computer algorithms

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：