ID 原文 译文
1663 采用电流源阵列 QN旋转游走版图布局方案，能够减小电流源系统失配的一次误差，而且版图布线简单，由寄生效应引起的电流源失配较小，利于 DAC 非线性的优化。 A layout plan for the current array, QNrotary walk scheme is utilized for optimizing the nonlinearity of DAC. The metal con-nection in this layout scheme is relatively simple and the current mismatch caused by parasitic effect is small.
1664 基于 0.18μm CMOS，采用“6 + 4”的分段结构，设计了一种 10 位 500MS/s 分段电流舵 DAC， With the seg-mented structure of 6 bit thermometer code and 4 bit binary code, a 10 bit DAC is realized in a 0. 18μm CMOS by using the above layout plan.
1665 流片测试结果表明，在输入频率为 1.465MHz，采样速率为 500MS/s 的条件下，无杂散动态范围(Spurious Free Dynamic Range，SFDR)为 64.9dB，有效位数(EffectiveNumber of Bits，ENOB)为 8.8 bit，微分非线性误差(Differential Non-linearity，DNL)和积分非线性误差(Integral Non-line-arity，INL)分别为 0.77LSB 和 1.12LSB。 The measurement results show that the differential non-linearity (DNL)and the integral non-linearity(INL)of the DAC with QNrotary layout scheme are 0. 77 LSB and 1. 12 LSB. With 500MS /s sampling rate and1. 465MHz input frequency, the spurious free dynamic range (SFDR)and the effective number of bits (ENOB)are 64. 9dBand 8. 8bit, respectively.
1666 DKCHER 算法是基于超扩展规则的求差知识编译算法，也是目前为止表现最好的 EPCCL 理论编译算法。 DKCHER is a knowledge compilation algorithm of computing difference based on hyper extension rule, which is the best EPCCL compiler so far.
1667 本文通过研究 DKCHER 算法的执行流程，设计了一种新的启发式策略 MOVR(maximum occurrence number of varia-bles in middle result)，用于动态地从输入子句集中选择所包含变量在中间结果中出现次数最多的子句。 We research the executing process of DKCHER algorithm in this paper, and designMOVR (maximum occurrence number of variables in middle result)heuristics, which is used to dynamically select the clause with maximum occurrence number of variables in middle result.
1668 将 MOVR 启发式策略与 DKCHER 算法相结合，设计了 MOVR_DKCHER 算法。 By combining MOVR heuristics with DKCHER, MOVR_DKCHER algorithm is designed.
1669 实验结果表明，MOVR 启发式策略能够显著提高DKCHER 算法的编译效率和编译质量，编译效率平均可提升 70 倍左右，最高可以提高 237 倍。 Experimentally, MOVR heuristics can significantly improve the compilation effi-ciency and compilation quality of DKCHER, in which the compilation efficiency of DKCHER can be averagely improved a-bout 70 times, and the improvement can be up to 237 times at most.
1670 Web 应用程序时刻面临着来自网络空间中诸如 SQL 注入等代码注入式攻击的安全威胁。 Web applications are constantly exposed to security threats from code injection attacks such as SQL injec-tion in cyberspace.
1671 大多数针对SQL 注入攻击的检测方法执行效率较低，检测精度也不够高，特别是实现方法不易被重用。 At present, most detection methods against SQL injection attacks have low execution efficiency and low detection accuracy, and are not easy to be reused.
1672 根据注入型脆弱性特征提出了一种基于 AOP(Aspect-Oriented Programming)和动态污点分析的 SQL 注入行为检测方法，并通过方面(aspect)模块化单元对污点分析过程进行了封装，使得安全这类典型的程序横切关注点从基层子系统中分离，提高了检测代码的可重用性。 According to the characteristics of injection vulnerability, a SQL injection behavior detection method based on aspect-oriented programming and dynamic taint analysis is proposed, the taint analysis process is encapsulated by the aspect unit, so that the typical program cross cutting-concerns are separated from the base sys-tem, which improves the reusability of detection code.