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With the intensification of population aging, the importance of the pension industry has gradually been reflected. The purpose of this study is to find mainly challenges in the pension industry by analyzing the Australian Aged Care Quality Reports. In recent years, Aged Care Quality reports have played a positive role in improving the service quality of aged care institutions and strengthening risk management. This study found that the risk factors in the aged care quality report are the key factors for the upgrading of the pension industry. With the help of traditional text data analysis and mining methods, we can effectively provide new growth points and breakthrough links for the upgrading of the pension industry. This research found the upgrading of the pension industry in the construction of basic hardware and software facilities, the level of informatization and intelligence, the improvement of the quality of aged care services, the improvement of medical problems, and the training of professionals. The research methods proposed in this study are significant to the upgrading of the current pension industry.

The problem of population aging poses new challenges to the quality improvement and quality maintenance of the pension institution. The purpose of this study is to provide ideas for improving the service quality of senior care by analyzing the existing rating reports of the pension institution in Guilin. Since 2018, a rating system for pension institution has been established in various parts of China. These 1-5 star evaluation standards similar to hotel ratings have greatly improved the service quality of Pension institution. This study found that based on the current rating results of the pension institution in Guilin, combined with some of the characteristics of the pension institution themselves, and using traditional text mining and statistical analysis methods can help a pension institution improve their own ratings. Current statistics find that the higher ratings of pension institution have a lot to do with their own asset size, affiliation, time of establishment, geographical factors, and regulatory agencies. The results of this study can be used to improve the rating of Guilin pension institutions.

Waves in the ocean are a widespread phenomenon and their effective detection requires the use of high-resolution, large-area detection devices. Synthetic aperture radar (SAR), with its all-weather performance and high resolution, is often used for the detection and imaging of both land and ocean, as well as large-area, high-resolution SAR and interferometric SAR, which are all based on SAR enhancements. This has become an important area of research in marine sensors, and the use of multiple-input multiple-output (MIMO) reception modes for detection and imaging of large-area, high-resolution SAR data has become one of the research priorities for obtaining large-area, high-resolution SAR data. Oceanic internal waves generate internal mixing of seawater through unstable fragmentation, which is an important mechanism for maintaining the meridional overturning circulation within the ocean, and the strong currents and strong mixing processes generated by large amplitude internal waves carry enormous energy. The main objective of this paper is to investigate ocean turbulence observation techniques and data processing algorithms based on SAR sequence images. The research is of great significance for the development of marine science, and the technical areas studied are of great research significance for the development of the marine economy, breakthroughs in marine research technology, and the development of the marine industry.