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Defensive pressure affects basketball technical actions but not the time-motion variables

Journal of Sport and Health Science 2016年第3期5卷 375-380页

作者： Jaime Sampaio Roland Leser Arnold Baca Julio Calleja-Gonzalez Diogo Coutinho Bruno Goncalves Nuno Leite Research Centre in Sports Sciences Health Sciences and Human Development CIDESD Creative Lab Research Community Sport Sciences Department University of Trás-Os-Montes e Alto Douro Centre for Sport Science and University Sports University of Vienna Faculty of Sport Sciences University of the Basque Country

Background: Novel player tracking technologies can change the understanding of performance determinants in team sports by allowing to accurately measuring the activity demands. The aim of this study was to identify how the defensive pressure affects the time-motion variables and the technical actions in ***: Twenty international male players(age: 16.05 ± 2.09 years, weight: 73.13 ± 8.10 kg, height: 183.10 ± 5.88 cm) played two 10 min basketball quarters, where they used a man-to-man 1/4-court defense until the 4th min(F1/4), changed to man-to-man full court(FULL) for 3 min and, from the 7th to the 10 th min returned to 1/4-court defense(S1/4). A computerized notational analysis was performed using Simi Scout and positional data were captured with the Ubisense Real Time Location System(mean sampling rate 3.74 ± 0.45 Hz per transmitter/player).Results: The time-motion variables presented similar results between defensive conditions, showing a total distance covered around 90 m/***, results suggested possible vertical jump impairments in S1/4 periods. There was more distance covered while jogging in the offensive court(38.15 ± 12.17 m/min offensive court vs. 32.94 ± 10.84 m/min defensive court, p < 0.05) and more distance covered while running in the defensive court(16.41 ± 10.27 m/min offensive court vs. 19.56 ± 10.29 m/min defensive court, p < 0.05).Conclusion: These results suggest how to improve task representativeness during specific conditioning or game-based training situations and also to help coaches' strategic decisions during the games.

关键词： Activity demands Performance analysis Performance indicators Team sports

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t-SNE:A study on reducing the dimensionality of hyperspectral data for the regression problem of estimating oenological parameters

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Artificial Intelligence in Agriculture 2023年第1期7卷 58-68页

作者： Rui Silva Pedro Melo-Pinto CITAB-Centre for the Research and Technology of Agro-Environmental and Biological Sciences Inov4Agro-Institute for InnovationCapacity Building and Sustainability of Agri-Food ProductionUniversidade de Trás-os-Montes e Alto DouroQuinta dos PradosVila Real 5000-801Portugal Departamento de Engenharias Escola de Ciências e TecnologiaUniversidade de Trás-os-Montes e Alto DouroQuinta dos PradosVila Real 5000-801Portugal

In recent years there is a growing importance in using machine learning techniques to improve procedures in precision agriculture:in this work we perform a study on models capable of predicting oenological parameters from hyperspectral images of wine grape berries,a specially relevant topic to boost production tasks for ***,we explore the capabilities of a novel technique mostly used for visualization,t-Distributed Stochastic Neighbor Embedding(t-SNE),for reducing the dimensionality of the highly complex hyperspectral data and compare its performance with Principal Component Analysis(PCA)method,which despite the introduction of many nonlinear dimensionality reduction techniques over the years,had achieved the best results for real-world data across several studies in *** we explore the potential of kernel t-SNE,an extension to the t-SNE method that allows for the usage of the technique in streaming data or online *** results show that,in a direct comparison,t-SNE achieves better metrics than PCA for most of the data sets in this work and that the regressor(Support Vector Regression,SVR)performs better with the t-SNE reduced features as inputs,accomplishing better predictions with lower error *** the results with current literature,our shallow learning model paired with t-SNE achieves either better or on par results than those reported,even competing with more advanced models that use deep learning techniques,which should propel the introduction of t-SNE in more studies that require dimensionality reduction.

关键词： Hyperspectral images Dimensionality reduction Regression T-SNE Support vector machines Wine grape berries

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Comparative Analysis of the Spatial-temporal Distribution and Influencing Factors of the Tourism Industry in Three Cities along Beijing-Hangzhou Grand Canal in China

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Journal of Resources and Ecology 2024年第4期15卷 1039-1053页

作者： ZHANG Shuying YU Wenting CUI Jiasheng LIU Jiaming CHAN Chung-shing Key laboratory of Regional Sustainable Development Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Beijing Institute of Graphic Communication Beijing 102600China Key lab for Resources Use&Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Department of Geography and Resource Management The Chinese University of Hong KongHong Kong 999077China

The temporal-spatial pattern of linear cultural heritage in the context of the tourism industry is closely linked to heritage *** the 1800 km long Beijing-Hangzhou Grand Canal as an example,this study compared the dynamic evolution of tourism businesses in Beijing,Liaocheng,and Yangzhou at three time points(2010,2015,and 2019)via nearest neighbor analysis,kernel density estimation,and the standard deviational ***,a Geo-detector was used to examine the influencing *** results reveal significant growth regardless of the quantity or agglomeration degree from 2010 to 2019,and the direction of industrial expansion is consistent with the flow direction of the ***,the explanatory powers of factors related to socioeconomic development and canal resources are obviously stronger than those of the natural *** findings of this study offer theoretical constructs and policy recommendations for the sustainable development of the Beijing-Hangzhou Grand Canal and other linear cultural heritage sites.

关键词： tourism industry linear cultural heritage temporal-spatial distribution Beijing-Hangzhou Grand Canal Geo-detector

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New Re-os Isotopic Constrains on the Formation of the Metalliferous Deposits of the Lower Cambrian Niutitang Formation

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Journal of Earth Science 2016年第2期27卷 271-281页

作者： Yong Fu Lin Dong Chao Li Wenjun Qu Haoxiang Pei Wenlang Qiao Bing Shen College of Resource and Environmental Engineering Guizhou University Guiyang 550012 China Key laboratory of Metallogeny and Mineral Assessment Institute of Mineral Resources Chinese Academy of Geological Sciences Beijing 100037 China Key laboratory of Orogenic Belts and Crustal Evolution MOE School of Earth and Space Science Peking University Beijing 100871 China Re-os lab National Research Center for Geoanalysis Chinese Academy of Geological Sciences Beijing 100037 China Institute of Guizhou Geological Survey Guiyang 550004 China

The Terreneuvian Epoch（541-521 Ma）is also an important period for metallogenesis in South China, as was represented by the widespread occurrences of Ni-Mo polymetallic layers on the antecedent shallow platform margin and the V-enriched black shales in deeper slope-basin settings. In this study, we have measured Re-os isochron ages of Ni-Mo polymetallic layers（Songlin, Niuchang, Sancha, Chuanpengwan）, V-rich black shales（Bahuang）, and non-metalliferous black shales（Shuidong） in the basal Niutitang Formation in Guizhou and Hunan province, South China. The Ni-Mo polymetallic layers and V-enriched black shales have similar Re-os isochron ages, suggesting concurrent deposition of these two types of metalliferous ores. This suggestion is consistent with the traditional stratigraphic correlation by using the nodular phosphorite bed directly underlying these metalliferous layers as a stratigraphic marker. Furthermore, the metalliferous ores and non-metalliferous black shales have similar initial ^（187）os/^（188） os ratios of 0.8-0.9, arguing for a dominant seawater origin with minor contribution of hydrothermal activity. Furthermore, Re-os isotopic data also imply that Ni-Mo and V ore might have derived from the same source. We suggest that the spatial distribution of metalliferous ores can be explained by the development of non-sulfidic anoxic-suboxic wedge（NSASW） in the slope-basin and sulfidic wedge in the previous platform margin. Upwelling of deep water first transects the mildly reduced, organic rich NSASW, in which V（V） is reduced to V（IV）, and is preferentially removed from seawater by organometallic complex formation. As a result, V-rich black shale deposits in the slope-basin of Yangtze Platform. Further movement of deep water into the sulfidic platform margin results in Ni-Mo polymetallic layer formation.

关键词： Niutitang Formation South China Ni-Mo polymetallic layer V-rich black shale Re-osisochron ages.

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kernel-Based Semantic Relation Detection and Classification via Enriched Parse Tree Structure

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Journal of Computer Science & Technology 2011年第1期26卷 45-56页

作者：周国栋朱巧明 NLP lab School of Computer Science and TechnologySoochow University

This paper proposes a tree kernel method of semantic relation detection and classification （RDC） between named entities. It resolves two critical problems in previous tree kernel methods of RDC. First, a new tree kernel is presented to better capture the inherent structural information in a parse tree by enabling the standard convolution tree kernel with context-sensitiveness and approximate matching of sub-trees. Second, an enriched parse tree structure is proposed to well derive necessary structural information, e.g., proper latent annotations, from a parse tree. Evaluation on the ACE RDC corpora shows that both the new tree kernel and the enriched parse tree structure contribute significantly to RDC and our tree kernel method much outperforms the state-of-the-art ones.

关键词： semantic relation detection and classification convolution tree kernel approximate matching context sensitiveness enriched parse tree structure

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Learning Noun Phrase Anaphoricity in Coreference Resolution via label Propagation

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Journal of Computer Science & Technology 2011年第1期26卷 34-44页

作者：周国栋孔芳 NLP lab School of Computer Science and TechnologySoochow University

Knowledge of noun phrase anaphoricity might be profitably exploited in coreference resolution to bypass the resolution of non-anaphoric noun phrases. However, it is surprising to notice that recent attempts to incorporate automatically acquired anaphoricity information into coreferenee resolution systems have been far from expectation. This paper proposes a global learning method in determining the anaphoricity of noun phrases via a label propagation algorithm to improve learning-based coreference resolution. In order to eliminate the huge computational burden in the label propagation algorithm, we employ the weighted support vectors as the critical instances in the training texts. In addition, two kinds of kernels, i.e instances to represent all the anaphoricity-labeled NP , the feature-based RBF （Radial Basis Function） kernel and the convolution tree kernel with approximate matching, are explored to compute the anaphoricity similarity between two noun phrases. Experiments on the ACE2003 corpus demonstrate the great effectiveness of our method in anaphoricity determination of noun phrases and its application in learning-based coreference resolution.

关键词： coreference resolution anaphoricity determination label propagation RBF kernel convolution tree kernel

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Shadow geometry maps for alias-free shadows

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Science China(Information Sciences) 2013年第6期56卷 191-202页

作者： WANG Rui WU YingQing PAN MingHao CHEN Wei HUA Wei State Key lab of CAD & CG Zhejiang University

Shadow maps sample scene visibility in the light source space and offer an efficient solution to generate hard ***,they suffer from aliasing artifacts because of discretization errors,inadequate resolution and projection *** this paper,we propose the shadow geometry map method,where a shadow depth map is augmented by storing geometry information about *** leads to a new shadowrendering algorithm that combines a supersampling filter,a geometry-aware reconstruction kernel and an irregular sampling *** method produces high quality alias-free and subpixel supersampling shadow rendering and retains the simplicity and the efficiency of shadow *** show that the algorithm pipeline is efficiently parallelized using current programmable graphics hardware and that our method is capable of generating high quality hard shadows.

关键词： irregular shadow maps shadow geometry maps pixel and subpixel alias-free shadows

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Palmprint Recognition by Applying Wavelet-Based kernel PCA

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Journal of Computer Science & Technology 2008年第5期23卷 851-861页

作者： Murat Ekinci Murat Aykut Computer Vision lab Department of Computer Engineering Karadeniz Technical University

This paper presents a wavelet-based kernel Principal Component Analysis （PCA） method by integrating the Daubechies wavelet representation of palm images and the kernel PCA method for palmprint recognition. kernel PCA is a technique for nonlinear dimension reduction of data with an underlying nonlinear spatial structure. The intensity values of the palmprint image are first normalized by using mean and standard deviation. The palmprint is then transformed into the wavelet domain to decompose palm images and the lowest resolution subband coefficients are chosen for palm representation. The kernel PCA method is then applied to extract non-linear features from the subband coefficients. Finally, similarity measurement is accomplished by using weighted Euclidean linear distance-based nearest neighbor classifier. Experimental results on PolyU Palmprint Databases demonstrate that the proposed approach achieves highly competitive performance with respect to the published palmprint recognition approaches.

关键词： palmprint recognition kernel PCA wavelet transform biometrics pattern recognition

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Broad learning system based on the quantized minimum error entropy criterion

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Science China(Information Sciences) 2022年第12期65卷 204-219页

作者： Simin ZHANG Zhulin LIU C.L.Philip CHEN School of Computer Science and Engineering South China University of Technology Pazhou lab

The broad learning system(BLS) based on the minimum mean square error(MMSE) criterion can achieve outstanding performance without spending too much time in various machine learning ***, when data are polluted by non-Gaussian noise, the stability of BLS may be destroyed because the MMSE criterion is sensitive to outliers. Different from the MMSE criterion, the minimum error entropy(MEE) criterion utilizes the kernel function to capture high-dimensional information and decrease the negative influence of outliers, which will make BLS more discriminative and robust. Nevertheless, the computational complexity of MEE is high due to a double summation of the data size. To solve these issues, this paper proposes a new robust BLS variant based on the quantized minimum error entropy(QMEE) criterion, in which a quantization operation is used to reduce the computational complexity of MEE. The proposed model BLS-QMEE is optimized by the fixed-point iterative method, and a sufficient condition for its convergence is provided. Compared with the standard BLS and other existing robust variants of BLS, BLS-QMEE performs more satisfactorily without consuming too much time. The desirable performance of BLS-QMEE is verified by various experiments on function approximation, several public datasets, and a practical application.

关键词： broad learning system quantized minimum error entropy robustness minimum error entropy convergence

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Microbial enzymatic stoichiometry and the acquisition of C, N,and P in soils under different land-use types in Braziliansemiarid

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Soil Ecology Letters 2023年第3期5卷 101-108页

作者： Erika Valente de Medeiros Érica de Oliveira Silva Gustavo Pereira Duda Mario Andrade Lira Junior Uemeson Josédos Santos Claude Hammecker Diogo Paes da Costa Fabio Fernando Araujo Arthur Prudêncio de Araujo Pereira Lucas William Mendes Ademir Sergio Ferreira Araujo laboratory of Microbiology and Enzymology-LEMA Federal University of Agreste PernambucoGaranhuns 55292-270Brazil Federal Rural University of Pernambuco Rua Dom Manuel de Medeiross/nDois Irmãos52171-900RecifeBrazil Soil-Agrosystem-Hydrosystem Interaction lab-LISAH Place Pierre Viala234060 MontpellierFrance Universidade do Oeste Paulista Presidente PrudenteSPBrazil Departamento de Ciência Do Solo Universidade Federal Do CearáFortalezaCEBrazil Center for Nuclear Energy in Agriculture University of Sao PauloPiracicabaSPBrazil Soil Quality lab Agricultural Science CenterFederal University of PiauíTeresinaPI 60049-550Brazil

This study hypothesized that different land-use affect the microbial enzymatic stoichiometry and C-,N-,and P-acquisition in Brazilian semiarid ***,the enzymesβ-glucosidase(C-acquiring enzyme),urease(N-acquiring enzyme),and acid phosphatase(P-acquiring enzyme)were assessed in soil samples collected at 0−5 and 5−10 cm depth from a tropical dry forest,a protected area with Angico,a protected area with Ipê,scrub area,and an agricultural area with *** values of C-,N-,and P-acquiring enzymes were used to calculate the enzymatic C:N,C:P,and N:P *** values of C:P and N:P ratios were higher at 0−5 cm depth,while no significant variation,between soil depth,was observed for C:N *** values of C-and N-acquiring enzymes were higher at 0−5 cm in tropical dry forest areas and Angico forest,*** all land use types,the values of vectors L and A were higher than 1°and 45°,*** study showed that both land-use and soil depth influence the enzymatic stoichiometry,showing higher values of C-and N-acquiring enzymes in native and protected forests at soil surface.

关键词： C:N:P stoichiometry tropical forests soil depth Luvisols

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