Inherent Rules and Development Path for Marine Cultural Industry Cluster

Marine cultural industry is a special part of cultural industry and is a frontier research field of local cultural industry. Using theoretical study combined with field survey,this paper listed Lu Jiazhi,Daishan Dongsha Town,Putuo Mountain,Zhujiajian,Shenjiamen,Changzhi Island,Mayi Island,Taiyang Valley,Zhujiajian Baishan,and Taohua Island in Zhoushan Islands. From three core rules of cultural industry cluster,namely,rules of combination and extension of industry chain,rules of location advantage and selection,and rules of industrial agglomeration and linkage,to fully reveal inherent rules and development ideas for marine cultural industry cluster in Zhoushan Islands. It came up with recommendations for developing marine cultural industry cluster in accordance with resource endowment characteristics of each island. It is of certain directive significance for the development of marine cultural industry cluster in Zhoushan Islands.

Hydraulic metal structure health diagnosis based on data mining technology

In conjunction with association rules for data mining, the connections between testing indices and strong and weak association rules were determined, and new derivative rules were obtained by further reasoning. Association rules were used to analyze correlation and check consistency between indices. This study shows that the judgment obtained by weak association rules or non-association rules is more accurate and more credible than that obtained by strong association rules. When the testing grades of two indices in the weak association rules are inconsistent, the testing grades of indices are more likely to be erroneous, and the mistakes are often caused by human factors. Clustering data mining technology was used to analyze the reliability of a diagnosis, or to perform health diagnosis directly. Analysis showed that the clustering results are related to the indices selected, and that if the indices selected are more significant, the characteristics of clustering results are also more significant, and the analysis or diagnosis is more credible. The indices and diagnosis analysis function produced by this study provide a necessary theoretical foundation and new ideas for the development of hydraulic metal structure health diagnosis technology.