基于多信号模型的现场可更换模块测试性建模与分析

基于多信号模型的测试性建模与分析为测试性设计提供了一条崭新的思路,但测试性建模过程所需的测试性信息却难以准确、完备地获取,进而使测试性建模过程变得非常困难,指出正确获取测试性信息的关键是要消除产品设计人员和建模人员之间存在的知识隔层;分析了多信号模型的8个要素,结合工程实践给出了测试性信息的获取方法和测试性建模的工程化操作流程,工程化操作流程包括:确定结构层次、故障模式影响分析、信号流分析、测试分析共4个步骤;以某现场可更换模块为例,完成了测试性建模与分析;结果表明,给出的测试性信息获取方法和工程化操作流程在实际工作中是可行的、有效的;测试性建模、分析的结果能够在设计阶段较准确的评估测试性设计是否满足既定的指标,并为测试性设计的进一步改进指明方向。

基于知识结构的适应性诊断测试系统开发

构建以知识结构为基础的信息技术化适性诊断系统。在研究过程中,先以专家知识结构出题,每个试题皆让100位以上的学生预先测试,分析学生的知识结构,系统以此学生知识结构出题,并于学生作答完毕后加以诊断,提供学习诊断报告。最后以专家知识结构结合学生知识结构的补教教学结构进行补充学习,达到因材施测与因材施教的目标。研究发现,该系统具有节省试题、缩短施测时间及高预测率的功效。

Parallel Test Tasks Scheduling and Resources Configuration Based on GA-ACA

A Genetic Algorithm-Ant Colony Algorithm(GA-ACA),which can be used to optimize multi-Unit Under Test(UUT)parallel test tasks sequences and resources configuration quickly and accurately,is proposed in the paper.With the establishment of the mathematic model of multi-UUT parallel test tasks and resources,the condition of multi-UUT resources mergence is analyzed to obtain minimum resource requirement under minimum test time.The definition of cost efficiency is put forward,followed by the design of gene coding and path selection project,which can satisfy multi-UUT parallel test tasks scheduling.At the threshold of the algorithm,GA is adopted to provide initial pheromone for ACA,and then dual-convergence pheromone feedback mode is applied in ACA to avoid local optimization and parameters dependence.The practical application proves that the algorithm has a remarkable effect on solving the problems of multi-UUT parallel test tasks scheduling and resources configuration.

Computer-based Test of Spoken English Translation Accuracy Evaluation System with Wireless Mobile Terminal

In order to improve the accuracy of spoken English translation evaluation and artificial intelligence, the design of wireless mobile terminal lest of spoken English translation accuracy evaluation system is researched. The system uses four layer construction design as wireless information collection layer, the mobile terminal information fusion layer, network data transmission layer, human computer interactive application layer. The original collection of computer-based spoken English translation information is taken based on host computer communication sensing information processing technology, Bus data transmission of English translation accuracy evaluation system is taken based on B/S structure, the test design process and remote scheduling information fusion are constructed based on LabWindows/CVl and B/S structure mining system, information data processing and cross compiler operation of the spoken English translation test evaluation system are completed in application layer, in the embedded kernel and on the wireless mobile terminal, the evaluation system is developed. The test results show that the integrated scheduling ability of spoken English translation test information system designed in this paper is better than traditional method, the cost time is less, and the control quality of the system is high.

A Comparative Analysis on Testing Stability of Seed Coat Neps (SCN) Number and Size with AFIS and Premier aQura

This paper makes a comparative analysis of testing stability of seed coat neps (SCN) number and size with Advanced Fiber Information System (AFIS) and aQura.After testing the number and size of SCN in sliver produced by two different experiments (twelve plans in each experiment)with AFIS and aQura,the test results are analyzed with the theory of statistical analysis and the following conclusions are drawn:(1) the testing stability of SCN number and size of aQura is better than that of AFIS;(2) to get a reliable testing stability of SCN number,more than 24 samples should be tested on aQura,while more than 130 samples on AFIS;(3) for SCN size test,more than 10 and 12 samples should be tested on aQura and AFIS,respectively;(4) the basic reason for higher testing stability of SCN number and size on aQura is that the weight of the samples is greater than that on AFIS.