让“把”字句在英译汉机器翻译系统中成为可能

把字句像一个由动词支配的介词短语,且此动词位于把字句之后。这种句子结构是一个介词短语而非动词短语。在构建语法、明确阐述把字句结构的时候,应强调把字句显现出来的句法和语义。基于动词类型和动词后面的介词语义,可以确定两种把字句类型。可以通过限制把字句正式句型的变化形式来构建一个更好的机器翻译过程和结果。     

A Further Improved Approximation Algorithm for Breakpoint Graph Decomposition

Breakpoint graph decomposition is a crucial step in all recent approximation algorithms for SORTING BY REVERSALS, which is one of the best-known algorithmic problems in computational molecular biology. Caprara and Rizzi recently improved the approximation ratio for breakpoint graph decomposition from to + 1.4348 + , for any positive . In this paper, we extend the techniques of Caprara and Rizzi and incorporate a balancing argument to further improve the approximation ratio to + 1.4193 + , for any positive . These improvements imply improved approximation results for SORTING BY REVERSALS for almost all random permutations.     

Security of Separated Data in Cloud Systems with Competing Attack Detection and Data Theft Processes

Empowered by virtualization technology, service requests from cloud users can be honored through creating and running virtual machines. Virtual machines established for different users may be allocated to the same physical server, making the cloud vulnerable to co‐residence attacks where a malicious attacker can steal a user's data through co‐residing their virtual machines on the same server. For protecting data against the theft, the data partition technique is applied to divide the user's data into multiple blocks with each being handled by a separate virtual machine. Moreover, early warning agents (EWAs) are deployed to possibly detect and prevent co‐residence attacks at a nascent stage. This article models and analyzes the attack success probability (complement of data security) in cloud systems subject to competing attack detection process (by EWAs) and data theft process (by co‐residence attackers). Based on the suggested probabilistic model, the optimal data partition and protection policy is determined with the objective of minimizing the user's cost subject to providing a desired level of data security. Examples are presented to illustrate effects of different model parameters (attack rate, number of cloud servers, number of data blocks, attack detection time, and data theft time distribution parameters) on the attack success probability and optimization solutions.     

半模糊超球支持向量机多类分类方法研究

针对支持向量机在大类别模式分类中存在的问题,提出了一种基于半模糊核聚类的超球支持向量机分类方法.该方法首先利用半模糊核聚类方法对样本进行预处理,完成边缘样本的选取,进而以所选样本为训练样本进行超球支持向量机训练,从而有效提高分类器的性能.实验表明,该方法比标准支持向量机多类分类方法具有更高的速度和精度.     

基于SVM的RSM模型拟合方法研究

对于多极值、存在高阶交互作用和约束的复杂过程,参数RSM整体代表性差,难以达到全局最优;而非参数RSM在样本量有限时泛化性差,模型难以优化.将RSM模型拟合归结为一类有限制条件、可主动获取样本点的小样本学习问题;提出一种基于SVM的复杂过程RSM模型拟合方法,并提出了适用于RSM的实用性SVM核函数及参数选择方法.算例研究表明,所提的核函数及参数选择方法得到的泛化误差与其最小值的平均偏离率在20%以内;基于SVM的RSM拟合模型对因子约束、误差分布无严格限制,泛化性能、曲面重现能力均优于现有RSM,其平均泛化误差与样本量分别比非参数RSM降低约20%和30%,说明了所提方法的有效性与优越性.     

个人信用评估PSO—SVM模型的构建及应用

支持向量机(SVM)中的参数影响着模型的分类能力,为了使SVM获得更好的分类能力,针对SVM中的人为选择参数的随机性,提出了利用粒子群算法(PSO)进行优化的方法,构建了PSO-SVM模型,并将其应用于商业银行的个人信用评估中。通过改进的PSO算法对SVM中的参数进行优化,并通过粒子适应度函数的设置来控制给商业银行造成较大损失的第2类误判的发生。应用结果表明,PSO-SVM模型的分类精度高,第2类误判率低,并且表现出较好的稳健性,对于控制消费信贷风险具有良好的适用性。     

Scheduling a single semi-continuous batching machine

This paper addresses a new problem, called semi-continuous batch scheduling, which arises in the heating-operation of tube-billets in the steel industry. Each heating furnace can be regarded as a semi-continuous batching machine, which can handle up to C jobs simultaneously. The jobs in the same batch enter and leave the machine semi-continuously, which differs from the traditional batching machine scheduling where the jobs in same batch have a starting time and a finishing time. In this paper the processing time of a batch depends on the capacity of the semi-continuous batching machine, the longest processing time of jobs in the batch and its size. The objectives are to schedule jobs on the machine so that the makespan and the total completion time are minimized. A schedule for a semi-continuous batching machine consists of a batching and sequencing for the batches. We propose the optimal properties of two different objective functions and present the different dynamic programming algorithms with a running time of O(n²), respectively.     

反叛传统挑战男权——试论唐代妇女服装

唐代妇女服装主要是袒胸的襦裙、潇洒的男装,前者是对"短毋见肤、长毋被土"的传统思想的反叛,是母系社会女性崇拜的遗存,后者则是在此基础上对男权社会的挑战,是从"边缘"走向"中心"的服装化体现.     

利用有限状态机控制高速A/D设备的设计与实现

针对高速模/数转换器件的控制问题,对比了有限状态机与微处理器在此方面的表现,并根据TLC0820的工作方式,详细介绍了使用有限状态机A/D转换的实现方法。     

BACON机器、科学发现与创造——AI心理学派学者西蒙思想解读

H·西蒙所领导的人工智能(AI)心理学派,在F·培根关于归纳机器的思想指引下,在对一系列科学发现进行了计算模拟之后,确认了人类科学推理就是启发式搜索的过程,换句话说,人类问题求解的启发式搜索法就是科学发现的逻辑或方法。同理,借助于“有选择的搜索”的心理解释可以揭示科学创造的奥秘。