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In order to solve the problems of long updating time, high packet loss rate, poor security and large storage space after updating, a dynamic updating algorithm of Marine algae statistical database is proposed. The wavelet packet is used to decompose the data three times, and the feature vector of the data is extracted by reconstructing the decomposition coefficient. Adopts adaptive threshold time cleaning stale data, using the reader to read data buffer queue, determine the data label is expected expiration time, current time is greater than or equal to a label expected expiration time, thinks that the label has expired, will delete the data, the complete statistical database of Marine algae cleaning and dynamic update for the first time. The extracted data characteristics were treated as individual, the data to be updated and its update weight were determined according to the matching contribution value of each individual, and the new data was used to replace the data with the large contribution value to obtain the dynamic update result of the Marine algae statistical database. Experiments show that the algorithm can reduce the updating time and packet loss rate of Marine algae statistical database, improve the storage space after updating, and the safety factor can reach up to 0.98.The proposed algorithm can greatly improve the feasibility of dynamic updating of Marine algae statistical database and provide reference for big data research. [ABSTRACT FROM AUTHOR]

In the present research, a physical-geometric-feature of continuous yarn in a plain woven fabric was created and its FE model was analysed by considering the two key issues of woven fabric, the crimp and inter-yarn friction. The basic parameters of Young's modulus of single yarn and the inter-yarn friction coefficient were investigated for practical fabrics in tensile and pull-out tests. FE analysis indicated that the stress-strain curves of the FE model were effective in evaluating the equivalent modulus of a woven fabric by comparing with a tensile experiment on Twaron CT® Plain Woven Fabric. In addition, a simplified three dimensional model of the unit cell of plain woven fabric (UCPW) was employed to quantitively investigate two important fabric characteristics -- the crimp rate of the yarn and inter-yarn friction-to determine their influence on the mechanical properties of the fabrics. Furthermore, we used FE analysis to evaluate how the crimp rate and inter-yarn friction affected the mechanical properties by determining the equivalent modulus of single yarn and UCPW in both uniaxial and biaxial tensile loading. The stresses at representative nodal points and the mechanical interaction between yarns were also investigated from a microscopic perspective, and their deformation mechanisms were also analysed and discussed. [ABSTRACT FROM AUTHOR]