Human error data is an important issue of human reliability analysis (HRA).
人误数据是人员可靠性分析(HRA)的一个非常重要的方面。
Repeatability: Automated data collections can be repeated over and over with similar inputs without fear of human error.
可重复性：自动数据收集可以使用类似的输入再三重复，而不用担心人为错误。
Finally, it assists with data entry and verification during test execution to reduce human error.
最后，它还可以在测试执行过程中帮助数据输入和验证，从而减少人工差错。
Oracle and DB2 UDB both provide effective mechanisms and capabilities for securing data from loss due to media corruption or human error.
Oracle和DB 2UDB都提供了一些有效的机制和功能，来保护数据不会由于媒介损坏或人为错误而丢失。
By automating this data entry and data validation process for the tester, IBM Rational Manual tester reduces human error.
通过为测试人员将数据输入和数据验证过程自动化，IBMRationalManualTester减少了人的错误。
In order to conduct the human reliability analysis and manage the human error events more effectively and accurately, a human reliability analysis and its data management system were developed.
再者通过建立具有一定规模的人员可靠性数据库，以便为今后进一步的研究提供良好的数据支持。
Results of implementation based on this method during phantom data and human vision experiments reveal that it is effective to reduce the correction error, which leads to accurate realignment.
仿真实验及实际的视觉实验数据分析结果表明，该方法具有较高的校正精度，是一种有效的功能磁共振数据运动校正方法。
The features of complex man-machine systems are described in this paper. The definition, taxonomy, data collection and accident model of human error in the systems are also explored.
本文描述了复杂人——机系统的特征，探讨了该系统中人因失误的定义、分类、数据采集和事故模型。
The features of complex man-machine systems are described in this paper. The definition, taxonomy, data collection and accident model of human error in the systems are also explored.
本文描述了复杂人——机系统的特征，探讨了该系统中人因失误的定义、分类、数据采集和事故模型。
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