CAJ | 학술논문

对数据库查询指向性信息特征进行差分累积函数特征挖掘可以提高数据库的层析集成性能，通过数据库层析集成，应用在飞行姿态控制数据库控制系统中，提高数据指向精度，进而提高导航精度。提出一种基于差分累积函数特征挖掘的控制数据库层析集成算法，对数据库查询指向性信息特征进行差分累积函数特征挖掘，通过分层特征分解的方法，提取数据库的层析特征，通过内存管理机制，对所有数据实现统一管理，提高数据调度和控制精度。仿真实验表明，算法能提高数据库的层析集成性，提高数据指向精度，控制品质得到改善，姿态的控制精度提高25.86%，CPU利用率最高，实时性和鲁棒性较好。
대수거고사순지향성신식특정진행차분루적함수특정알굴가이제고수거고적층석집성성능，통과수거고층석집성，응용재비행자태공제수거고공제계통중，제고수거지향정도，진이제고도항정도。제출일충기우차분루적함수특정알굴적공제수거고층석집성산법，대수거고사순지향성신식특정진행차분루적함수특정알굴，통과분층특정분해적방법，제취수거고적층석특정，통과내존관리궤제，대소유수거실현통일관리，제고수거조도화공제정도。방진실험표명，산법능제고수거고적층석집성성，제고수거지향정도，공제품질득도개선，자태적공제정도제고25.86%，CPU이용솔최고，실시성화로봉성교호。
The differential accumulation function feature mining can improve the performance of database tomography inte?grated directional information features of the database query, with the database was integrated, it is applied in the flight atti?tude control database control system, improve data pointing accuracy, and improve the precision of navigation. A control da?tabase chromatography integrated algorithm based on differential accumulation function characteristics of mining is pro?posed, directivity information characteristics of differential accumulation function feature mining of database query method, through the hierarchical feature decomposition of feature extraction of chromatography database, the memory management mechanism is used to realize the unified management of all data, improve the data scheduling and control precision. Simula?tion results show that the algorithm can improve the chromatography, integrated database, improve data pointing accuracy, control quality is improved, control precision of attitude is increased by 25.86%, CPU has the highest utilization rate, it has good real-time and robustness.