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| 1 | A Novel PF-LSSVR-based Framework for Failure Prognosis of Nonlinear Systems with Time-varying Parameters显示文摘Particle filtering (PF) is being applied successfully in nonlinear and/or non-Gaussian system failure prognosis. However, for failure prediction of many complex systems whose dynamic state evolution models involve time-varying parameters, the traditional PF-based prognosis framework will probably generate serious deviations in results since it implements prediction through iterative calculation using the state models. To address the problem, this paper develops a novel integrated PF-LSSVR framework based on PF and least squares support vector regression (LSSVR) for nonlinear system failure prognosis. This approach employs LSSVR for long-term observation series prediction and applies PF-based dual estimation to collaboratively estimate the values of system states and parameters of the corresponding future time instances. Meantime, the propagation of prediction uncertainty is emphatically taken into account. Therefore, PF-LSSVR avoids over-dependency on system state models in prediction phase. With a two-sided failure definition, the probability distribution of system remaining useful life (RUL) is accessed and the corresponding methods of calculating performance evaluation metrics are put forward. The PF-LSSVR framework is applied to a three-vessel water tank system failure prognosis and it has much higher prediction accuracy and confidence level than traditional PF-based framework. | CHEN Xiongzi YU Jinsong TANG Diyin WANG Yingxun | 2012 | Chinese Journal of Aeronautics2012，25，5： | 5 |
| 2 | Pinpointing and scheduling access conflicts to improve internal resource utilization in solid-state drives显示文摘Modern solid-state drives (SSDs)are integrating more internal resources to achieve higher capacity.Parallelizing accesses across internal resources can potentially enhance the performance of SSDs.However,exploiting parallelism inside SSDs is challenging owing to real-time access conflicts.In this paper,we propose a highly parallelizable I/O scheduler (PIOS)to improve internal resource utilization in SSDs from the perspective of I/O scheduling.Specifically, we first pinpoint the conflicting flash requests with precision during the address translation in the Flash Translation Layer (FTL).Then,we introduce conflict eliminated requests (CERs)to reorganize the I/O requests in the device-level queue by dispatching conflicting flash requests to different CERs.Owing to the significant performance discrepancy between flash read and write operations,PIOS employs differentiated scheduling schemes for read and write CER queues to always allocate internal resources to the conflicting CERs that are more valuable.The small dominant size prioritized scheduling policy for the write queue significantly decreases the average write latency.The high parallelism density prioritized scheduling policy for the read queue better utilizes resources by exploiting internal parallelism aggressively.Our evaluation results show that the paralle/izable I/O scheduler (PIOS)can accomplish better SSD performance than existing I/O schedulers implemented in both SSD devices and operating systems. | Xuchao XIE Liquan XIAO Dengping WEI Qiong LI Zhenlong SONG Xiongzi GE | 2019 | Frontiers of Computer Science2019，13，1： | 2 |
| 3 | A review of CAD-based robot path planning for spray painting 显示文摘 | CHEN Heping THOMAS F LI Xiongzi | 2009 | Industrial Robot:An International Journal2009，36，1： | 1 |
| 4 | A new chromosome fluorescence banding echnique combining DAPI staining with image analysis in plants 显示文摘 | LIUJY SHECW HUZL XIONGZY LIULH SONGYC | 2004 | Chromosoma2004，113，： | 1 |
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