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基于深度挖掘的体检信息智能管存平台研究
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作者 林伟锋 《信息技术》 2023年第10期157-162,共6页
由于传统方法未能剔除平台相似数据,导致信息管存平台存在数据容量小、扩展性能差、吞吐量低等问题,基于此,提出基于深度挖掘的体检信息智能管存平台。首先对平台整体构架进行设计,并在平台内设计了各种功能模块,利用深度挖掘算法对平... 由于传统方法未能剔除平台相似数据,导致信息管存平台存在数据容量小、扩展性能差、吞吐量低等问题,基于此,提出基于深度挖掘的体检信息智能管存平台。首先对平台整体构架进行设计,并在平台内设计了各种功能模块,利用深度挖掘算法对平台中的相似数据进行剔除,以此提升平台管存效率。实验结果表明,该体检信息管存平台数据容量大、扩展性能高、平台吞吐量大,具有一定应用价值。 展开更多
关键词 深度挖掘 体检信息 管存平台 设计方法 B/S开发模式
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Storage Management Strategy of Flash-Based Platform 被引量:1
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作者 王太勇 赵丽 +1 位作者 胡世广 王涛 《Transactions of Tianjin University》 EI CAS 2009年第4期266-271,共6页
Storage management strategy can be expressed by a file system. Commercial file system for embedded application is generally complicated and resource wasted. In this paper, a specified file system adapted to embedded s... Storage management strategy can be expressed by a file system. Commercial file system for embedded application is generally complicated and resource wasted. In this paper, a specified file system adapted to embedded system with flash-based memory is developed. To guarantee the average usage of flash storage sectors, the strategy of wear leveling and adaptive damage management is introduced, in which a dynamic storage space management mode and the strategy of first in first out (FIFO) are adopted. Moreover, the strategy of redundancy design and fast-calculation and tracing is also adopted to extend the life of kernel sector, which can guarantee the reliable service of system booting. The practical application in an embedded CNC (computerized numerical control) platform proves that the file system has effective performance. Furthermore, the flash file system can be transplanted to different embedded platforms by changing a few bottom hardware parameters with universality. 展开更多
关键词 storage management embedded system flash-based platform wear leveling
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