检索结果-内蒙古大学图书馆

Young Scientists Forum

作者： Wang Shu-tao Peng Tao Cheng Qi Wang Gui-chuan Kong De-ming Wang Yu-tian Yanshan Univ Sch Elect Engn Hebei Prov Key Lab Measurement Technol & Instrume Qinhuangdao 066004 Hebei Peoples R China

ISBN: (数字)9781510619784

ISBN: (纸本)9781510619784

Carmine is a widely used food pigment in various food and beverage additives. Excessive consumption of synthetic pigment shall do harm to body seriously. The food is generally associated with a variety of colors. Under the simulation context of various food pigments' coexistence, we adopted the technology of fluorescence spectroscopy, together with the PSO-SVM algorithm, so that to establish a method for the determination of carmine content in mixed solution. After analyzing the prediction results of PSO-SVM, we collected a bunch of data: the carmine average recovery rate was 100.84%, the root mean square error of prediction (RMSEP) for 1.03e-04, 0.999 for the correlation coefficient between the model output and the real value of the forecast. Compared with the prediction results of reverse transmission, the correlation coefficient of PSO-SVM was 2.7% higher, the average recovery rate for 0.6%, and the root mean square error was nearly one order of magnitude lower. According to the analysis results, it can effectively avoid the interference caused by pigment with the combination of the fluorescence spectrum technique and PSO-SVM, accurately determining the content of carmine in mixed solution with an effect better than that of BP.

关键词： fluorescence spectroscopy carmine particle swarm optimization algorithm support vector machine

来源：评论

学校读者我要写书评

暂无评论

Research on Dynamic Scheduling of Automatic Rail-guided Vehicle

Research on Dynamic Scheduling of Automatic Rail-guided Vehi...

引用

2018 1st International Conference on Engineering,Communication and Computer Sciences(ICECCS 2018)

作者： Zhixing Song School of North China Electric Power University

With the rapid development of artificial intelligence, intelligent processing systems have slowly entered our lives. The control of intelligent machines through computers can improve the efficiency of work. The RGV is an unmanned, smart car that can run freely on a fixed track. According to the working conditions of RGV, the corresponding model is established, and three sets of data are given for specific analysis and calculation.

关键词： RGV Priority particle swarm optimization algorithm Exhaustive method

来源：评论

学校读者我要写书评

暂无评论

Quantitative Evaluation of Reserve Projects Based on the Grid Contribution

Quantitative Evaluation of Reserve Projects Based on the Gri...

引用

2018 3rd International Conference on Electrical, Automation and Mechanical Engineering(EAME 2018)

作者： Zifa Liu Dong Peng Xuyang Wang Zhe Zhang Yawei Xue Hui Li North China Electric Power University State Grid Economic and Technological Research Institute CO.LTD

The comprehensive evaluation of electric construction project is one of the main tasks in the early stage of the project. In order to accurately embody the nature, content, and scale of the reserve projects, a quantitative evaluation method for reserve projects based on the contribution of power grid is proposed in this paper. An evaluation index system and its quantitative calculation method are established, And the optimal weight of each index is determined by utilizing the combination assigning method and particle swarm optimization algorithm. Then the contribution evaluation model of power grid reserve project is constructed based on the contribution and project investment. The dynamic sorting method for power grid reserve projects is determined by analyzing the coupling relationship and decoupling method in the reserve projects. Finally, the distribution network expansion projects in a certain city are taken as an example, and the results are presented to illustrate the usefulness of proposed method.

关键词： reserve project quantitative evaluation combination weighting method particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

K-Means Clustering Efficient algorithm with Initial Class Center Selection

K-Means Clustering Efficient Algorithm with Initial Class Ce...

引用

2018 3rd International Workshop on Materials Engineering and Computer Sciences(IWMECS 2018)

作者： Huang Suyu Hu Pingfang School of Computer Science Wuhan Donghu University

The algorithm herein adopts density-based method and max-min distance method to define initial clustering center to eliminate the need for defining clustering center in advance in k-means algorithm,and normalize the data set to reduce the influence of fluctuation of attribute value for each dimension of sample set on accuracy of clustering ***,it obtains dissimilarity matrix and takes advantage of good global convergence ability of particle swarm optimization algorithm to improve proneness of K-means algorithm to be trapped in local *** effectiveness of the algorithm was verified via ***,although the algorithm herein performs well in part of small low dimensional data set,while how to effectively make cluster analysis on large high dimensional data still needs to be further researched.

关键词： Clustering algorithm particle swarm optimization algorithm dissimilarity matrix k-means

来源：评论

学校读者我要写书评

暂无评论

particle swarm optimization applied to Orbital Three-Player Conflict 8

Particle Swarm Optimization applied to Orbital Three-Player ...

引用

8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Liu, Yifang Li, Renfu Wang, Shuquan Huazhong Univ Sci & Technol Sch Aeronaut & Astronaut Wuhan Peoples R China Chinese Acad Sci Tech & Engn Ctr Space Utilizat Beijing Peoples R China

ISBN: (纸本)9781509007684

An orbital three-player conflict with impulsive thrust is studied in this work. Due to the absence of maneuver capabilities of the target spacecraft, a defender spacecraft is engaged to eliminate the threat of the attacker spacecraft to the target spacecraft. The orbital three-player conflict is divided into two layers. In the internal layer, the attacker spacecraft tries to intercept the target spacecraft, which is called orbital interception. In the external layer, the defender spacecraft tries to intercept the attacker spacecraft to protect the target spacecraft, which is called orbital anti-interception. Based on the natural cubic spline interpolation, a new algorithm for solving the lambert problem is present to model the behavior of both the orbital interception and the orbital anti-interception. The particle swarm optimization algorithm is employed to find the optimal anti-intercept orbit. Numerical simulations illustrate the effectiveness of the anti-intercept strategy.

关键词： orbital three-player conflict impulsive thrust particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Tomograph Based Concept Detection of Video Data Using PSO

Tomograph Based Concept Detection of Video Data Using PSO

引用

International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

作者： Lall, Priyanka Sorte, Swati GH Raisoni Coll Engn Dept Elect Engn Nagpur Maharashtra India

ISBN: (纸本)9781509032945

Concept detection has always been an important area of research in image and video processing. Concept detection mainly is improved by precising detection results by using range of methods available. One such method is proposed in this work by using spatio-temporal video slices or called as video tomographs. The video tomographs can be a replacement for conventional key frames. Video tomographs are capable of capturing motion information which was not the case with the previous methods use. The another key novelty of this work is the basic methodology that is assembled upon a particle swarm optimization technique, for purpose of calculating subset of the existing base detectors should be united for developing a finest detector for every concept.

关键词： video analysis supervised learning video tomograph concept detection particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Intellectual approaches to improvement of the classification decisions quality on the base of the SVM classifier 12th

Intellectual approaches to improvement of the classification...

引用

12th International Symposium on Intelligent Systems (INTELS)

作者： Demidova, L. Klyueva, I. Sokolova, Y. Stepanov, N. Tyart, N. Ryazan State Radio Engn Univ 59-1Gagarina Str Ryazan 390005 Russia Moscow Technol Inst 38ALeninskiy pr Moscow 119334 Russia

In this paper the hybrid and modified versions of the PSO algorithm applied to improvement of the search characteristics of the classical PSO algorithm in the development problem of the SVM classifier have been offered and investigated. A herewith two hybrid versions of the PSO algorithm assume the use of the classical "Grid Search" (GS) algorithm and the "Design of Experiment" (DOE) algorithm accordingly, and the modified version of the PSO algorithm realizes the simultaneous search of the kernel function type, the parameters values of the kernel function, and also the regularization parameter value. Besides, the questions of applicability of the k nearest neighbors (kNN) algorithm in the development problem of the SVM classifier have been considered. (C) 2017 The Authors. Published by Elsevier R.V.

关键词： support vector machine particle swarm optimization algorithm grid search algorithm hybrid algorithm classification optimization parameters of the kernel function regularization parameter separating hyperplane support vectors

来源：评论

学校读者我要写书评

暂无评论

Assessment of Distribution System Reliability using Artificial Bee Colony algorithm 2

Assessment of Distribution System Reliability using Artifici...

引用

2nd IEEE International Conference on Electrical, Computer and Communication Technologies (IEEE ICECCT)

作者： Dixit, Mukul Kundu, Prasanta Jariwala, Hitesh R. SV Natl Inst Technol Dept Elect Engn Surat 395007 India

ISBN: (纸本)9781509032396

This paper addresses the usefulness of Artificial Bee Colony (ABC) optimization algorithm for assessment of distribution system reliability. The penalty cost functions are formulated which is related to the failure rate and repair time of each distribution segment. And also, satisfy the reliability constraint such as SAIFI, SAIDI, CAIDI and AENS. The finest values of failure rate and repair time cost function are evaluated using ABC algorithm for reliability enhancement. The performance comparison between ABC and particle swarm optimization (PSO) algorithm also has been done in this paper. In addition, for showing the effectiveness of proposed methodology the numerical results have been compared to the different intelligent techniques that are available in the published literature.

关键词： artificial bee colony algorithm distribution system reliability particle swarm optimization algorithm reliability indices

来源：评论

学校读者我要写书评

暂无评论

The Container Truck Route optimization Problem by the Hybrid PSO-ACO algorithm 1

引用

13th International Conference on Intelligent Computing (ICIC)

作者： Liu, Yi Feng, Mao Shahbazzade, Sabina Hangzhou Dianzi Univ Hangzhou 310018 Zhejiang Peoples R China Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (数字)9783319633091

ISBN: (纸本)9783319633091;9783319633084

This paper mainly research on the container tuck route optimization problem with the integrated loading and unloading operation. Considered the disperse-stacking of containers in yards and the loading/unloading operations of each berth, the objective function of scheduling problem is the optimal rout of the container truck. In order to solve this problem, the hybrid swarm intelligence algorithm (PSO-ACO) is proposed, which combined the particle swarm optimization algorithm with the ant colony optimization algorithm. The hybrid swarm intelligence algorithm takes advantage of strong local search ability of ant colony optimization algorithm and the ACO's pheromone taxis, which can avoid the particle swarm optimization algorithm fall in the local optimum during the convergence. The results show that the mathematical model and hybrid algorithm have effective, reliability and stability in solving the container truck scheduling problem.

关键词： Container truck route Scheduling particle swarm optimization algorithm Ant colony optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization

引用

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES 2016年第4期28卷 381-394页

作者： Amirthalingam, Gandhimathi Radhamani, G. Bharathiar Univ Dept Comp Sci Coimbatore Tamil Nadu India Dr GR Damodaran Coll Sci Dept Comp Sci Coimbatore Tamil Nadu India

An effective fusion method for combining information from single modality system requires Multimodal biometric crypto system. Fuzzy vault has been widely used for providing security, but the disadvantage is that the biometric data are easily visible and chaff points generated randomly can be easily found, so that there is a chance for the data to be hacked by the attackers. In order to improve the security by hiding the secret key within the biometric data, a new chaff point based fuzzy vault is proposed. For the generation of the secret key in the fuzzy vault, grouped feature vectors are generated by combining the extracted shape and texture feature vectors with the new chaff point feature vectors. With the help of the locations of the extracted feature vector points, x and y co-ordinate chaff matrixes are generated. New chaff points can be made, by picking best locations from the feature vectors. The optimal locations are found out by using particle swarm optimization (PSO) algorithm. In PSO, extracted feature locations are considered particles and from these locations, best location for generating the chaff feature point is selected based on the fitness value. The experimentation of the proposed work is done on Yale face and IIT Delhi ear databases and its performance are evaluated using the measures such as Jaccard coefficient (JC), Genuine Acceptance Rate (GAR), False Matching Rate (FMR), Dice Coefficient (DC) and False Non Matching Rate (FNMR). The results of the implementation give better recognition of person by facilitating 90% recognition result. (C) 2015 Production and hosting by Elsevier B.V. on behalf of King Saud University.

关键词： Modified Region Growing method Local Gabor XOR Pattern Chaff points particle swarm optimization algorithm Fuzzy vault

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：