Motion beat induction based on short-term principal component analysis

2009 ◽  
Author(s):  
Jianfeng Xu ◽  
Koichi Takagi ◽  
Akio Yoneyama
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Short Term ◽  
Beat Induction

Principal Component Analysis the Economy of Shanghai in 2010

2011 ◽  
Vol 50-51 ◽  
pp. 404-408
Author(s):  
Xiao Qiang Guo ◽  
Zhen Dong Li ◽  
Dong Dong Hao ◽  
Xin Xie ◽  
Jian Min Wang
Keyword(s):  
Principal Component Analysis ◽  
Economic Development ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index ◽  
Short Term ◽  
Construction Costs ◽  
World Expo ◽  
Shanghai World Expo

This paper from the economic analysis, quantitative evaluation of the 2010 Shanghai World Exop impact. First, from the short-term and long-term benefits of the two considerations, the loss of earnings, base construction costs on the percentage of total funding, permanent building retained, the number of daily tours, the number of participating countries for the evaluation index, subjectively weight to the five indicators，calculate its scores to rank for five World Expos including Shanghai World Expo. Second, using principal component analysis, we get the five indicators of objective weighting and ranking for above five World Expos. The results show that the Shanghai World Expo will boost the economic development and has a huge influence on the economy

scholarly journals Finanças pessoais: uma análise do comportamento de estudantes de Ciências Contábeis

2018 ◽  
Vol 17 (3) ◽  
pp. 819-840
Author(s):  
Mariana Ferreira Soares Marques ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Personal Finance ◽  
Self Control ◽  
Accounting Students ◽  
Short Term ◽  
Resources Management ◽  
Credit Supply ◽  
Payment Methods

Resumo: A forma como as pessoas lidam com suas finanças pessoais é um tema cada vez mais relevante diante da complexidade dos meios de pagamento atuais, das formas de investimento existentes e da oferta do crédito restrita. Neste estudo propõe-se a analisar como os estudantes de Ciências Contábeis da Universidade Federal de Minas Gerais (UFMG) têm gerenciado suas finanças, a propensão ao endividamento ou à poupança desses indivíduos e a influência de aspectos comportamentais — o autocontrole, a visão de curto prazo, a preferência por crédito e a propensão a planejar — na gestão dos recursos. Foi realizado um estudo quantitativo, com a aplicação de questionários a 104 estudantes. Os resultados da pesquisa foram analisados por meio da análise fatorial, testes de correlação e de diferenças de médias. Observou-se, de forma geral, que os acadêmicos de Ciências Contábeis são altamente bancarizados e, em grande parte, possuem poupança e realizam depósitos regulares. Foi identificada uma maior propensão à poupança em alunos inseridos em famílias com renda superior a R$ 5.201,00 e uma aversão a crédito de estudantes que poupam com a finalidade de prevenir emergências. A idade dos alunos não esteve correlacionada a nenhum padrão de comportamento.Palavras-chave: Finanças Pessoais. Propensão ao endividamento. Propensão à poupança.Personal finance: an analysis of Undergraduate Accounting students behavior  Abstract: The ways in which people deal with money is relevant given the complexity of current payment methods, existing types of investment and the credit supply restrictions. This research's aim was to assess how Undergraduate Accounting students manage their finances, their propensity for getting into debt, propensity to save and analyze how behavioral aspects (self-control, short-term thinking, preference for credit and propensity to plan) influence resources’ management. We have applied a questionnaire to 104 students.  We used principal component analysis, correlations and tests of differences between means. The results suggest that Accounting students are highly banked and, most of them have savings account and make periodic deposits. We have identified a higher Propensity to save money in families with incomes greater than R$ 5.201,00 and debt aversion of students who save to prevent emergencies. Student's age was not correlated with any behavior pattern.Keywords: Personal Finance. Propensity to save. Propensity for getting into debt.

scholarly journals Principal component analysis identifies different representative match load profiles in international women’s field hockey based on playing positions. [El análisis de componentes principales identifica diferentes perfiles de rendimiento en función de las posiciones en partidos internacionales de hockey hierba femenino].

2021 ◽  
Vol 17 (64) ◽  
pp. 112-123
Author(s):  
Esther Morencos ◽  
Blanca Romero-Moraleda ◽  
Markel Rico-González ◽  
Daniel Rojas-Valverde ◽  
José Pino-Ortega
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Field Hockey ◽  
Short Term ◽  
Strength And Conditioning ◽  
World Series ◽  
Repeated Sprint ◽  
Hockey Players ◽  
High Degree

The aim of this study was to assess the principal components (PC) of women’s field hockey players´ TL distinguishing by playing positions (i.e., back, midfielder, forward). Data were collected from sixteen players belonging to the Spanish National women’s field hockey team during 13 official matches from the European Championship, World Series, and Pre-Olympic tournament. The Principal Component Analysis (PCA) grouped a total of 16 variables in five to six PC, explaining between 68.6 and 80% of the total variance. Different variables formed the PC that explain the player’s performance in different field positions. There were differences by positions in the distance covered at 21 to 24 km·h-1 (midfielders>forwards), decelerations from 5 to 4 m·s-2 (midfielders>forwards), and in maximum accelerations (midfielders>backs). Overall, strength and conditioning coaches should combine exercises which induce a high degree of aerobic endurance and power. However, some specification should be made by playing position: (1) defenders should perform training sessions with at least the same amount of volume as in the matches; (2) forwards should perform training efforts that ensure high repeated sprint ability; and (3) midfielders should perform a high training volume to develop high-intensity aerobic endurance, in combination with short-term efforts.

scholarly journals Short-Term Wind Speed Prediction Based on Principal Component Analysis and LSTM

2020 ◽  
Vol 10 (13) ◽  
pp. 4416 ◽  
Author(s):  
Dawei Geng ◽  
Haifeng Zhang ◽  
Hongyu Wu
Keyword(s):  
Principal Component Analysis ◽  
Wind Speed ◽  
Principal Component ◽  
Component Analysis ◽  
Batch Size ◽  
Support Vector ◽  
Short Term ◽  
Wind Speed Prediction ◽  
Speed Prediction ◽  
Lstm Network

An accurate prediction of wind speed is crucial for the economic and resilient operation of power systems with a high penetration level of wind power. Meteorological information such as temperature, humidity, air pressure, and wind level has a significant influence on wind speed, which makes it difficult to predict wind speed accurately. This paper proposes a wind speed prediction method through an effective combination of principal component analysis (PCA) and long short-term memory (LSTM) network. Firstly, PCA is employed to reduce the dimensions of the original multidimensional meteorological data which affect the wind speed. Further, differential evolution (DE) algorithm is presented to optimize the learning rate, number of hidden layer nodes, and batch size of the LSTM network. Finally, the reduced feature data from PCA and the wind speed data are merged together as an input to the LSTM network for wind speed prediction. In order to show the merits of the proposed method, several prevailing prediction methods, such as Gaussian process regression (GPR), support vector regression (SVR), recurrent neural network (RNN), and other forecasting techniques, are introduced for comparative purposes. Numerical results show that the proposed method performs best in prediction accuracy.

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