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This paper considers the delay-dependent stability problem of recurrent neural networks with interval time-varying delays. An appropriate Lyapunov–Krasovskii functional is constructed and the combination method of Wirtinger inequality and reciprocally convex optimization technique is employed. Combing a new activation function segmentation method of the boundary condition and the orthogonal complement lemma, three further improved delay-dependent stability criteria are established. Finally, two numerical examples show the effectiveness of our proposed method by comparison with the recent existing works.

In this paper, the multi-body dynamics software EXCITE was used to simulate the connecting rod big end bearing of two-stroke marine diesel engine. The result showed the stress analysis of connecting rod big end bearing. The purpose is to provide a theoretical basis for the actual conditions of connecting rod big end bearing, and to improve the design of the crankshaft structure.

Modal analysis of crankshaft for two-stroke marine diesel engine is carried out on the block lanczos method. The finite element models of crankshaft is created in ANSYS. The crankshaft first 13 natural frequencies and mode shapes are shown as the result and lay the foundation for optimal design of the crankshaft and dynamic response.

Taking into account the formation of thermal NO, the local balance method and Extended Zeldovich model were used in the paper to simulate the combustion and emission of a marine diesel engine with the AVL FIRE software and to verify the model. The effects of exhaust gas recirculation(EGR) ratios of 0%, 10%and 20% on combustion and emission of a diesel engine were discussed. The purpose of the paper provided a theoretical basis for the marine diesel engine upgrade of Chinese small and medium sized vessels, especially fishing vessel engine. The results show that with the increasing of EGR ratio,the cylinder pressure and combustion temperatures decreases and the peak of soot also shown a downward trend and more gentle, under the same load conditions.

The structure, characteristics and principles of BP neural network model are described in this paper. First, three impact factors of the dissolved oxygen are selected as the sample input of network, and then the parameters of BP neural network are selected, such as network structure, learning algorithm, output layer transfer function, learning rate and so on. Finally, the BP neural network model is established and trained, in order to approach compensate the effects of improves non-linearity. The simulation results show that BP neural network is practical and dependable in the field of dissolved oxygen modeling and has nice applied prospect.

With the rapid development of computer technology and Internet, all kinds of distant educations based on Internet have been coming out constantly. To reduce the cost of exam and alleviate the burden of teachers, the crew examination system was designed and implemented. This system is an online examination system which integrates computer network technology, database technology and ASP technology. The B/S model was adopted in this system and using ASP visit ODBC accesses database. This system includes two functions: examination system and management system. Test library management, random questions, online testing, automatic scoring, scores query and other functions were achieved. Crew examination system realizes the change from traditional test’s way to the way based on Internet.