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In order to overcome the problems of low evaluation accuracy and poor correlation in the selection of evaluation parameters in existing benefit evaluation methods, a wind power generation energy storage investment benefit evaluation method based on the improved minimum cross entropy method is proposed. Firstly, in order to clarify the output characteristics of wind power generation, a wind power generation characteristic model is constructed. Then, based on the output characteristics of wind power generation, investment benefit evaluation indicators are determined from the perspectives of economic benefits, cost benefits, and environmental benefits. Finally, the continuous function improved minimum cross entropy method is introduced to calculate the weight of the evaluation index. An investment benefit evaluation model is then built. The test results show that the proposed method can improve the accuracy of investment benefit evaluation, with an evaluation accuracy of over 95%, and the parameter correlation in the evaluation is high.

As a type of autonomous underwater vehicle (AUV), underwater gliders (UG) are getting increasing attention in ocean exploration. To save energy and satisfy the mission requirements of a longer voyage, shape optimization for UGs has become a key technique and research focus. In this paper, a conventional UG, including its fuselage and hydrofoil, is optimized, which aims to decrease the average resistance in one motion cycle. To operate the optimization progress for the complex object, multiple free form deformation (FFD) volumes are established for geometric parameterization. High-fidelity simulation models are employed for objective function evaluation and gradients calculation. And sequential quadratic programming (SQP) method is adopted as an optimization algorithm. The optimization results show that there exists a UG with symmetrical and non-horizontal hydrofoils that has lower resistance.

In China, where financing constraints are commonly seen in many companies, but at the same time, OFDI companies are experiencing increasing cash flows, the question that whether OFDI will influence a company's financing constraints draws researchers' attention. This paper-based on empirical analysis finds that: 1) OFDI mediates Chinese companies' financing constraints by lowering their outside financing cost, optimising the channels and the quality of their external financing, and enhancing the supplementing ability of outside funding to companies' cash flows; 2) compared with state-owned companies, OFDI's financing constraint mediating effect is more substantial in private-owned companies; for targeted countries' income levels. OFDI in developed countries has a more significant mediating effect; compared with other motivations, OFDI, which is market-oriented, has the most substantial mediating effect. And this result is mainly achieved through OFDI's 'contact effect', which draws closer the topographical coldness between the host OFDI country and the OFDI investor, mediates information asymmetry, and lowers outside investors' risk premium. The analysis in this paper extends research on OFDI's economic consequences in emerging economies and offers instructions for the government to guide the investment behaviour of listed companies.

The method of piston pin's strength calculation base on FEA is proposed to solve the pin's failure. The pin's circular deformation is measured by node displacements, and the conventional static strength analysis is replaced by multi-case fatigue calculation. Compared with the conventional strength verification method, the FEA result is more accurate with the reality.