Stability Precision Error Correction of Photoelectric Detection by Unmanned Aerial Vehicle

For getting clear images and overcoming shaking caused by various disturbances, real-time compensation of pointing errors will improve the overall stability performance of photoelectric detection by unmanned aerial vehicle. However, the compensation will be greatly deteriorated by error-causing sources, and the error correction process is of great importance. In this research, the problem of stability precision error correction is comprehensively studied. First, by modeling overall kinematics, error-causing sources, and error compensation, the error correction process is mathematically modeled and simulated. Then, by using simulation data regression, error correction models including the global function model and parametric model are established. The models are validated by carrying out both simulations and validation experiments. At last, the performances of the error correction models are compared and analyzed, which concerns the factors of parameter identification, model simplicity, and final improvement effect. Results show that the final stability precision can be greatly improved over 20%, and the parametric model outperforms the global function model comprehensively. It can be concluded that, either in simulation environment or real application scenarios, the obtained models and related analysis results are effective in improving the system stability performance.

Environmental Quality, Corruption and Industry Growth: The Global Perspective

This paper investigates the causal relationship between environmental quality and corruption for 129 countries, using the panel cointegration and panel-based error correction models for the period 2002-2015. In the paper, we use EPI, EHI, and EVI to represent environmental quality, which are more reasonable and comprehensive. We further take industry growth into consideration and investigate its impact on environmental quality. Our results corroborate that there exists a long-term equilibrium cointegrated relationship among the variables, both of corruption and industry growth have a negative effect on environmental quality and the corruption can seriously decrease environmental quality in the long term, while industry growth weakens environmental quality no matter in the short or long run.

Relações entre índices preço-lucro e retornos dos títulos públicos

<p>The ratios P/E1 and P/E10 or the cyclically adjusted price-to-earnings ratio are widely disseminated in the literature based on the U.S. stock market. This paper develops a method to construct P/E ratios for the Brazilian stock market. The purpose of this paper is to analyze the long-term relationships between both P/E1 and P/E10 and interest rates corresponding to the returns of treasury bonds, in order to test the Fed Model. In general, the period considered was from December 2004 to June 2018. Autoregressive distributed lags models were estimated, which can be represented as conditional error correction models. Results show significant long-term relationships between both P/E1 and P/E10 and the relevant interest rates, suggesting that the Fed Model is in line with the behavior of the Brazilian financial market.</p>