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Although deep convolutional neural networks have made breakthroughs in the accuracy and speed of single-image super-resolution, there are still many unsolved problems: firstly, How to refine the texture problem when performing super-resolution processing at a larger magnification ratio. Secondly, the existing convolutional neural network image super-resolution algorithms are prone to overfitting and insufficient convergence of the loss function. Aiming at two problems, an image super-resolution method based on generative adversarial network is proposed. The feature map is spatially transformed on the network to solve the problem of refined texture, combined with CycleGAN and SRGAN, the network structure is improved and the loss function is optimized, and the SRCICGAN algorithm is proposed to restore the four times down-sampled image to solve the loss function problem. The experiment is compared with the latest six methods on three data sets. The PSNR and SSIM indicators are 1.92% and 5.49% higher in the Flickr2K data set, respectively, and better visual effects can be obtained in terms of detailed texture.

The load characteristic model based on demand response and the load optimization control method in three different scenarios are studied in this paper. Firstly, by decoupling rigid load and flexible load, according to different degree that flexible load participates in demand response, considering the influence of different control variables, three types of load characteristics models of electricity price load, direct control load and interruptible load are constructed. Secondly, based on the established the load characteristic model proposes a reasonable load control strategy optimization control method under the condition of different practical power supply gap constraints. Finally, through three cases of scenarios, we explored the control variables are direct control load and interruptible load control, the objective function is when the deviation between the actual load reduction amount and the power supply gap is the smallest, and the constraint condition considers the demand response contract. The feasibility of the constructed model and the optimization method is verified, which provides a reference for the promotion of user-side demand response in China.

Analysis of flight safety risk coupling plays an important role to prevent flight accidents. In this paper, a topological analysis based on fuzzy network theory is presented to reveal the complex coupling relationship of interrelated risks in flight safety system. The connotation of flight safety risk coupling is presented, and the integration research of fuzzy sets and complex network is introduced. Based on extracting the key flight accident causation factors, the model to analyze flight safety risk coupling is constructed. Finally, the key risk factors and important interactions are gained by analyzing the structural properties of flight safety risk network. The conclusion is that the proposed method based on fuzzy sets and complex network is helpful to reveal the coupling mechanism of flight safety risk factors, and the network theory-based analysis serves as a powerful complement to classical flight safety risk analysis.

Guided waves have the multi-modes and dispersive characteristic and the mode conversion at boundary or with defects in pipes, which make it very difficult to identify different guided waves mode reflection signals in pipes detection. The experiment method is using guided waves to detect two stainless steel pipes, one pipe has no defect and another pipe has a hole defect. The guided waves detection echo signals are obtained. By calculating the Chirplet match atom parameters and the time frequency distributions spectrum of guided waves detection echo signals, guided waves mode with T(0,1),F(1,2) and L(0,2) are respectively identified for no defect pipe detection, and defect echo consisted by two wave-packets with T(0,1) and F(1,2) mode is also identified for defect pipe detection. The results show that the matching pursuit method has a tremendous advantage to identify different guided waves modes signals in pipes non-destructive testing.

Job burnout can result in mental and physical exhaustion of the crew of ocean-going work, which influences the enthusiasm of the seamen and is not conducive to the development of shipping industry and maritime team stability. The specific factors are probe into in this paper from four aspects affecting the offshore crew burnout. The survey results are analyzed by AHP. The consequence shows job stress and interpersonal relationships are more significant on the offshore crew burnout effects. Based on the analysis, the prevention and control measures are provided at last, so as to control and solve the burnout problems of ocean crew effectively.

Safety Management Performance of Air Traffic Control is affected by many factors. Via questionnaire statistics analysis and Exploratory Factor Analysis (EFA) to optimize items and extract factors, the authors confirm five main effective factors at last, including work initiative, communication and exchange, team cohesion, system completeness and leadership management, and all of them have passed the reliability test and validity test so as to enhance the level of safety management of Air Traffic Control.

The electrical demulsification of emulsion in high voltage pulsed electric fields was studied under various conditions. The emulsion was a mixture of kerosene and water (1:1 by volume) with Span80 as emulsifier. As voltage applied ranges from 8 kV to 22 kV, the demulsification efficiency increased from 58.97% to 79.01%. In this experiment, the optimum voltage was 22 kV. Value of demulsification efficiency increased with operating time; while its increasing tendency slowed down dramatically after first 3 minutes. The increase of temperature resulted in decrease in the stability of the emulsion, and the electrical demulsification efficiency at 20degC was approximately 10% higher than that at 10degC under the conditions that other experimental factors remained unchanged. And it was observed that the demulsification efficiency was increasing along with the relative dielectric constant of the coating material for the metallic electrode.

The purpose of this paper is to analyze the current financial employee participation scheme in Ecuador. Private companies, according to the law, have to pay fifteen percent of their profits to employees. In some companies this procedure represents a minimum benefit to employees. However, in the Ecuadorian oil industry this matter is relevant and mentioned in the hiring process as the most important part of employees' compensation. Using references and data from different industries in the Ecuadorian market, this paper provides an analysis of this scheme as a mechanism of recognition and motivation for employees in private oil companies established in the country.