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     We have proposed a universal decoding system, creatingcoding table dynamically with integrity definition through defining each field 'srule and constraints, inserting them into system table of DBS. This method improvesthe reliability of the coding system greatly and secures the reliability ofdatabase system.
     将编码表的各种定义 ,包括对各字段中的编码段的规则和约束直接写入数据库系统中的系统表 ,以动态生成具有完整性限定的编码表的方法提出 ,使通用编码系统的可靠性得以极大的提高 ,从而保证使用这一开发工具开发的数据库管理系统的可靠性得以保证。
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     An Improved Segment Vocoder
     一种改进的音声码器编码方法
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     texture coding;
     纹理编码 ;
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     3. entropy coding.
     熵编码
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     Arbitrarily Shaped Image Segments Coding Using Subband-DCT
     使用子带DCT的任意形状图像编码
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     4.The facial segment.
     4.面
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Internal transcription control regions (promotors) are located at the 5' and 3' ends of the mature tRNA coding section of the tRNA gene.
      
We amplify a short, non-coding section of the mitochondrial DNA genome, termed the control region.
      


We have proposed a universal decoding system, creatingcoding table dynamically with integrity definition through defining each field 'srule and constraints, inserting them into system table of DBS. This method improvesthe reliability of the coding system greatly and secures the reliability ofdatabase system. It also provides a simple and reliable method for creatingtables dynamically in other areas.

将编码表的各种定义 ,包括对各字段中的编码段的规则和约束直接写入数据库系统中的系统表 ,以动态生成具有完整性限定的编码表的方法提出 ,使通用编码系统的可靠性得以极大的提高 ,从而保证使用这一开发工具开发的数据库管理系统的可靠性得以保证。这也为在其他领域动态生成表提供一种简洁可靠的方法。

With the help of examination theory and education mathematics, the requirements of the test paper are analyzed in details. The mathematical model of intelligent test paper generation system is set up. The method of test paper auto-generation based on immune genetic algorithm (IGA) is proposed. Segmented coding, crossover and mutation in segment, evaluation function of genetic are developed. Instance analysis to intelligent system of test paper generation from test item pool about analog electronic technology...

With the help of examination theory and education mathematics, the requirements of the test paper are analyzed in details. The mathematical model of intelligent test paper generation system is set up. The method of test paper auto-generation based on immune genetic algorithm (IGA) is proposed. Segmented coding, crossover and mutation in segment, evaluation function of genetic are developed. Instance analysis to intelligent system of test paper generation from test item pool about analog electronic technology is present. The experimental results show that the IGA algorithm can solve the test paper auto-generation problem in test item pool effectively, and has better performances of quick convergence to genetic algorithm.

 根据教育考试理论与统计学,分析了自动组卷目标要求,建立了智能组卷系统的数学模型.提出了一种基于免疫遗传算法的智能组卷算法,提出了分段编码、段内遗传操作、误差加权适应度评估方法.通过应用实例分析,实验结果表明所提出新组卷算法的组卷成功率高、组卷速度快.

Based on the analysis of the characteristics of the test paper, a theoretical model of intelligent test paper generation system is established. Then the method of test paper auto-generation based on Adaptive Hybrid Evolutionary Mechanism (AHEM) is proposed. The experimental results show that new method can solve the problem of test paper auto-generation effectively and efficiently.

分析了组卷目标要求,建立了智能组卷系统问题求解的理论模型。结合组卷问题求解领域知识与专家选题思想,提出了一种基于自适应混合进化机制的智能组卷方法,采用了基于题型的分段编码、段内进化算子、误差加权适应度评估方法。通过实例分析,实验结果表明所提出的新组卷方法具有组卷成功率高和组卷速度快的优点。

 
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