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Construction of Ship Target Image Library Based on 3DS MAX and ap algorithm

Modern Electronic Technology 2023年第2期7卷 20-25页

作者： Chao Ji Weixing Xia Zhengping Tang Department of Navigation and Communication Navy Submarine AcademyQingdaoShandong266041China

To achieve accurate classification and recognition of ship target types,it is necessary to establish a sample library of ship targets to be *** the basis of exploring the principles of building a ship target image library,the paper determines the sample *** 3DS MAX software as the platform,combined with the accurate 3D model of the ship in an offline state,the software fully utilizes its own rendering and animation functions to achieve the automatic generation of multi-view and multi-scale views of ship *** reduce the storage capacity of the image database,a construction method of the ship target image database based on the ap algorithm is *** algorithm can obtain the optimal cluster number,reduce the data storage capacity of the image database,and save the calculation amount for the subsequent matching calculation.

关键词： ap algorithm Ship target image library 3DS MAX Image recognition

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Knowledge mapping of research on securing the supply chain for critical minerals: A scientometrics and text mining approach

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JOURNAL OF CLEANER PRODUCTION 2024年 434卷

作者： Liu, Wei Li, Xin Wang, Junbo Zhong, Jingyi Wang, Minxi Yang, Jianbo Chengdu Univ Technol Coll Management Sci Chengdu 610059 Peoples R China Tsinghua Univ Sch Environm Beijing 100084 Peoples R China Tianfu Coll SWUFE Chengdu 610052 Peoples R China China Enfei Engn Corp Beijing 100011 Peoples R China

As clean energy technologies proliferate globally, demand for critical minerals has surged, sparking widespread concern about the security of the critical minerals supply chain. However, given the traditional scientometric methods lack of consideration of the importance of keywords and thematic analysis means cannot adaptively extract the core theme, this paper extracts the literature related to critical mineral supply chain security (CMSCS) from the Web of Science literature database system during 1995-2022. We first use scientometrics to analyze the publication volume, author collaboration, institutional collaboration, and national collaboration of CMSCS;secondly, we use cosine distance and nearest neighbor classification algorithms to analyze the dynamic development status of CMSCS, and finally, we utilize the TF-IDF algorithm and the Latent Dirichlet Allocation (LDA) text mining method to model the topics in this field. The results show that (1) global research on CMSCS is rapidly developing. China currently has the most literature in the field of CMSCS. The US, China, and the United Kingdom have the most influential research. (2) The authors collaborated to form nine core teams. The core institutions are the Chinese Academy of Sciences (CAS), Massachusetts Institute of Technology (MIT), and Politecnico di Milano. Most collaborative teams or institutions have strong internal collaborative links. (3) The research hotspots of CMSCS are influenced by national policies, technological development, and social consumption demand, "circular economy", "lithium battery", "recycling potential", and "recycling technology" are the directions that need to be focused on in the future. (4) Supply chain risk assessment, resilience enhancement, and recycling are important topics for future research in this field. In addition, future research on CMSCS should focus on assessing the vulnerability, resilience, and robustness of the critical mineral supply chain from the perspective o

关键词： Critical mineral Supply chain security Knowledge map LDA Text mining ap algorithm

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ap Based CBR for Endpoint Carbon Content Prediction of BOF Steelmaking 8

AP Based CBR for Endpoint Carbon Content Prediction of BOF S...

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8th International Conference on Information Science and Technology (ICIST)

作者： Cheng, Yuan Xing, Jun Dong, Jie Wang, Zhisen Wang, Xinzhe Dalian Polytech Univ Sch Infounat Sci & Engn Dalian Peoples R China

ISBN: (纸本)9781538637821

The endpoint carbon content of steelmaking is an important criterion for steel quality. Aiming at increasing the accuracy of endpoint carbon content prediction in basic oxygen furnace (BOF) steelmaking, this paper uses case-based reasoning (CBR) method to predict the endpoint carbon content of BOF steelmaking. In CBR, case retrieval makes a significant impact on reasoning result. Therefore, we apply affinity propagation (ap) clustering algorithm and waterfilling algorithm to enhance the case retrieval so as to improve the accuracy and stability of endpoint carbon content prediction. Through the simulation experiment, this paper compares the new model we proposed with the widely used method at present. The results show that the improved CBR can obviously improve the accuracy of endpoint carbon content prediction.

关键词： BOF steelmaking CBR ap algorithm waterfilling algorithm

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Research on Trajectory Clustering algorithm for Public Opinion Users

Research on Trajectory Clustering Algorithm for Public Opini...

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作者： Fuyu Lu Yonglin Leng Xiaohong Sun Information Construction and Management Center Bohai University College of Information Science and Technology Bohai University College of Mangement Bohai University

Clustering movement trajectories to get the motion feature of object is one of the goals of the trajectory *** at the large scale trajectory data,to address the low efficiency of clustering,this paper proposes a hierarchical trajectory clustering algorithm based on time series(HTCTS).The algorithm first divides trajectory data by time interval,and then respectively cluster the sub ***,for all cluster subset,HTCTS executes cluster algorithm again to produce the final clustering *** experimental results show that HTCTS algorithm in clustering efficiency and quality is superior than the trajectory clustering algorithms which cluster the whole dataset directly.

关键词： Trajectory clustering ap algorithm Public Opinion Similarity

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Attribute Extracting from Wikipedia Pages in Domain Automatically

Attribute Extracting from Wikipedia Pages in Domain Automati...

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International Conference on Information Technology and Intelligent Transportation Systems (ITITS)

作者： Su, Fenglong Rong, Chuanzhen Huang, Qingquan Qiu, Jiyuan Shao, Xinhong Yue, Zhenjun Xie, Qinghua PLA Univ Sci & Technol Inst Commun Engn Nanjing Jiangsu Peoples R China PLA Univ Sci & Technol Inst Natl Def Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783319387710;9783319387697

In the age of Big Data, input determines output. There is a large amount of data on the internet, but little knowledge. So researchers develop different kinds of methods to automatically extract knowledge from different data platforms. The traditional methods of supervised learning cost more time and labor, which are willing to be gradually replaced by the semi-supervised and unsupervised learning methods. In this paper we proposed a new semi-supervised method to complete this task, which costs just little, called TSVM (Transductive Support Vector Machine). In order to improve the accuracy and the intelligent level, we also add the Word Embeddings to the semi-supervised method. The ap (Affinity Propagation) algorithm makes a contribution to the word clustering automatically. Experimental results demonstrate a better performance to extract the attribute information in the military transportation domain from the Wikipedia compared with the traditional supervised leaning method.

关键词： Attribute extraction Word embedding Semi-supervised learning ap algorithm Information extraction Word clustering

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Location Searching Method of Smart Power Terminal Based On Mobile Positioning Technology

Location Searching Method of Smart Power Terminal Based On M...

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International Conference on Smart Grid and Electrical Automation (ICSGEA)

作者： Zhao, Yun Xiao, Yong Lin, Weibin CSG Elect Power Res Inst Guangzhou 510663 Guangdong Peoples R China

ISBN: (纸本)9781538628133

This paper proposed the Location Searching Method of Smart Power Terminal base on Mobile Positioning Technology. For those occasions in the scope of work that is improper to deploy ap but require only precise position, its applicability could be figured out from position accuracy, scalability and expenditure as well as providing parameters for the engineering practice. From the results of calculations, with the increase of amount of known ap locations the position accuracy rises as well, while the standard deviation of position error become smaller and smaller which represents better outcome of the stability of position algorithm. The errors of model calculations have reached more than 80% that indicating a relatively high accuracy of position algorithm to achieve the expected requirements.

关键词： Location Searching Mobile Positioning Power Terminal ap algorithm WiFi Communication

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SAR Raw Data ap Compression algorithm based on 2D Real-valued Discrete Gabor Transform

SAR Raw Data AP Compression Algorithm based on 2D Real-value...

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3rd International Symposium on Test Automation and Instrumentation

作者： Zhang Aihong Luo Haifang Song Hong-mei Zhang Bo Daqing Vocat Coll Heilongjing Daqing 163255 Peoples R China

ISBN: (纸本)9787510020841

In this paper, amplitude-phase(ap) algorithm for synthetic aperture radar (SAR) raw data and Two-Dimensional Real valued Discrete Gabor Transform (2D-RDGT) are studied and ap-Gabor compression algorithm is proposed. In this method, the raw data is divided into blocks at first, each block of raw data is converted into amplitude data and phase data of the same size at polar coordinates, then each block is transformed into time-frequency domain by 2D-RDGT and the desired bits are allocated to each frequency plane, finally each frequency plane is quantized with BAQ(Block Adaptive Quantization). The same raw data is experimented with this method and other existing methods. The experiment results show that this algorithm is superior to existing algorithms in the data domain and the images domain.

关键词： raw data compression time-frequency analysis Gabor transform ap algorithm adaptive bit allocation

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Evolutionary and variable step size strategies for multichannel filtered-x affine projection algorithms

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IET SIGNAL PROCESSING 2013年第6期7卷 471-476页

作者： Gonzalez, Alberto Albu, Felix Ferrer, Miguel de Diego, Maria Univ Politecn Valencia Inst Telecommun & Multimedia Applicat iTEAM E-46071 Valencia Spain Valahia Univ Targoviste Dept Elect & Telecommun Targoviste Romania

This study is focused on the necessity to improve the performance of the affine projection (ap) algorithm for active noise control (ANC) applications. The proposed algorithms are evaluated regarding their steady-state behaviour, their convergence speed and their computational complexity. To this end, different strategies recently applied to the ap for channel identification are proposed for multichannel ANC. These strategies are based either on a variable step size, an evolving projection order, or the combination of both strategies. The developed efficient versions of the ap algorithm use the modified filtered-x structure, which exhibits faster convergence than other filtering schemes. Simulation results show that the proposed approaches exhibit better performance than the conventional ap algorithm and represent a meaningful choice for practical multichannel ANC applications.

关键词： active noise control computational complexity convergence evolutionary computation filtering theory multichannel ANC applications filtering schemes ap algorithm channel identification computational complexity convergence speed steady-state behaviour active noise control applications multichannel filtered-x affine projection algorithms evolutionary strategies variable step size strategies

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Feature-reduction and semi-simulated data in functional connectivity-based cortical parcellation

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Neuroscience Bulletin 2013年第3期29卷 333-347页

作者： Xiaoguang Tian Cirong Liu Tianzi Jiang Joshua Rizak Yuanye Ma Xintian Hu Kunming Institute of Zoology Chinese Academy of Sciences The University of Queensland Queensland Brain Institute LIAMA Center for Computational Medicine National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Yunnan Key Lab of Primate Biomedical Research State Key Laboratory of Brain and Cognitive Science Institute of Biophysics Chinese Academy of Sciences Kunming Bio-International

Recently, restingstate functional magnetic resonance imaging has been used to parcellate the brain into functionally distinct regions based on the information available in functional connectivity maps. However, brain voxels are not independent units and adjacent voxels are always highly correlated, so functional connectivity maps contain redundant information, which not only impairs the computational efficiency during clustering, but also reduces the accuracy of clustering results. The aim of this study was to propose featurereduction approaches to reduce the redundancy and to develop semisimulated data with defined ground truth to evaluate these approaches. We proposed a featurereduction approach based on the Affinity Propagation algorithm （apA） and compared it with the classic feature reduction approach based on Principal Component Analysis （PCA）. We tested the two approaches to the parcellation of both semisimulated and real seed regions using the Kmeans algorithm and designed two experiments to evaluate their noise resistance. We found that all functional connectivitymaps （with/without feature reduction） provided correct information for the parcellation of the semi simulated seed region and the computational efficiency was greatly improved by both feature reduction approaches. Meanwhile, the apAbased featurereduction approach outperformed the PCA based approach in noiseresistance. The results suggested that functional connectivity maps can provide correct information for cortical parcellation, and featurereduction does not significantly change the information. Considering the improvement in computational efficiency and the noiseresistance, featurereduction of functional connectivity maps before cortical parcellation is both feasible and necessary.

关键词： cortical parcellation resting-state fMRI functional connectivity feature reduction stimulateddata ap algorithm

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SAR Raw Data ap Compression algorithm based on 2D Real-valued Discrete Gabor Transform

SAR Raw Data AP Compression Algorithm based on 2D Real-value...

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第三届国际自动化测试与仪器仪表学术会议

作者： Zhang Aihong~1 Luo Haifang~1 Song Hong-mei~2 Zhang Bo~3 (1.Daqing Vocation college,Heilongjing Daqing,163255,China 2.Institute of Electronics,Chinese Academy of Sciences 100190,China 3.Beijing Institute of Machinery & Equipment,Being 101100,China)

In this paper,amplitude-phase(ap)algorithm for synthetic aperture radar(SAR)raw data and Two-Dimensional Real valued Discrete Gabor Transform(2D-RDGT)are studied and ap-Gabor compression algorithm is *** this method,the raw data is divided into blocks at first,each block of raw data is converted into amplitude data and phase data of the same size at polar coordinates,then each block is transformed into time-frequency domain by 2D-RDGT and the desired bits are allocated to each frequency plane,finally each frequency plane is quantized with BAQ(Block Adaptive Quantization).The same raw data is experimented with this method and other existing *** experiment results show that this algorithm is superior to existing algorithms in the data domain and the images domain.

关键词： raw data compression time-frequency analysis Gabor transform ap algorithm adaptive bit allocation

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