软盘特殊格式化及加密技术的研究

通过对软盘结构、物理参数、逻辑参数的分析,给出了一种实现软盘在不破坏原盘数据的基础上,通过使用Int 13H等中断技术,进行重新格式化、扩充软盘容量的方法及加密技术的实现.     

考虑全局资源闲置成本的分布式RCMPSPTT

在考虑资源转移时间的分布式多项目调度问题中,增加考虑资源闲置成本,对于多项目共享资源的协调决策具有重要影响.基于多Agent系统建立以单项目完工时间为优化目标的局部调度模型,并采用遗传算法求解初始局部调度计划;同时考虑项目延期成本、全局资源转移成本和闲置成本,以多项目总成本为优化目标建立全局协调决策模型,设计基于贪婪转移策略的序贯博弈谈判机制协调全局资源的分配和转移,并根据协调结果调整单项目局部进度计划;以MPSPLIB问题集开展实验研究.研究结果表明:协调时考虑全局资源闲置成本能更好的协调全局资源的分配和转移;与无博弈随机分配和转移的协调机制相比,基于贪婪转移策略的序贯博弈谈判机制可以有效地降低多项目总成本.     

基于图像理解舰船打击效果评估数学模型

研究了基于图像理解的舰船打击效果评估中数学模型的建立问题,提出了舰船打击效果评估的两种模式,讨论了打击效果评估知识库建立问题,给出了打击效果评估的数学模型,并解决了打击效果评估中单项功能打击效果评估与整体效果评估的关系问题,用统计决策理论实现知识库的智能维护,将知识库的智能维护变为一个简单的二次规划问题。     

The research of controller area network on hybrid electrical vehicle

It is of increasing importance to design and implement vehicle networks for transferring information between electrical control units on Hybrid Electrical Vehicle （HEV）. This paper presents a scheme of using Controller Area Network （CAN） technology to realize communication and datasharing between the electrical units on the HEV. The principle and communication protocol of Electrical Control Units （ECU） CAN node are introduced. By considering different sensitivity of the devices to the latency of data transportation, a new design procedure is proposed for the purpose of simplifying network codes and wiring harness, reducing assembly space and weight, improving assembly efficiency, and enhancing fault-diagnose in auto networks.     

一种Web信息抽取规则的优化方法

提出一种Web信息抽取规则的优化方法,用于提高信息抽取的效率.采用分级制的思想,将原有规则中的限制条件分为粗规则和细规则两部分.粗规则面向网页中所有的信息片断,用于信息的初步过滤;细规则面向过滤后的信息片断,用于抽取最终的信息.由此,避免了将规则中的限制条件应用于网页中的所有信息片断,达到了减少计算量、提高抽取速度的目的.     

Turbo／MAP编译码器中的交织器优化设计

讨论采用软输出迭代译交织级联卷积码（Ｔｕｒｂｏ码）编译码器中的交织器优化设计问题．从基于最大后验概率（ＭＡＰ）算法与迭代译码的Ｔｕｒｂｏ码编译码原理出发,给出交织器设计的一些基本方法并分析其特点;提出“保奇偶”的随机交织器设计方案,它能有效地改善某些以提高编码效率为目的的“删余截短”Ｔｕｒｂｏ码的纠错性能．通过计算机仿真得出一些Ｔｕｒｂｏ码在加性高斯白噪声信道中采用不同交织器时的误码率数据,分析了交织类型和交织深度的变化对Ｔｕｒｂｏ码纠错性能的影响．针对Ｔｕｒｂｏ码的特点提出了在卫星通信等应用中交织器设计的实用性结论．     

Structure and function of Zika virus NS5 protein: perspectives for drug design

Zika virus (ZIKV) belongs to the positive-sense single-stranded RNA-containing Flaviviridae family. Its recent outbreak and association with human diseases (e.g. neurological disorders) have raised global health concerns, and an urgency to develop a therapeutic strategy against ZIKV infection. However, there is no currently approved antiviral against ZIKV. Here we present a comprehensive overview on recent progress in structure–function investigation of ZIKV NS5 protein, the largest non-structural protein of ZIKV, which is responsible for replication of the viral genome, RNA capping and suppression of host interferon responses. Structural comparison of the N-terminal methyltransferase domain and C-terminal RNA-dependent RNA polymerase domain of ZIKV NS5 with their counterparts from related viruses provides mechanistic insights into ZIKV NS5-mediated RNA replication, and identifies residues critical for its enzymatic activities. Finally, a collection of recently identified small molecule inhibitors against ZIKV NS5 or its closely related flavivirus homologues are also discussed.     

Bias‐corrected bootstrap prediction intervals for autoregressive model: new alternatives with applications to tourism forecasting

This paper proposes the use of the bias‐corrected bootstrap for interval forecasting of an autoregressive time series with an arbitrary number of deterministic components. We use the bias‐corrected bootstrap based on two alternative bias‐correction methods: the bootstrap and an analytic formula based on asymptotic expansion. We also propose a new stationarity‐correction method, based on stable spectral factorization, as an alternative to Kilian's method exclusively used in past studies. A Monte Carlo experiment is conducted to compare small‐sample properties of prediction intervals. The results show that the bias‐corrected bootstrap prediction intervals proposed in this paper exhibit desirable small‐sample properties. It is also found that the bootstrap bias‐corrected prediction intervals based on stable spectral factorization are tighter and more stable than those based on Kilian's stationarity‐correction. The proposed methods are applied to interval forecasting for the number of tourist arrivals in Hong Kong. Copyright © 2010 John Wiley & Sons, Ltd.     

Yersinia pestis genome sequencing identifies patterns of global phylogenetic diversity

Plague is a pandemic human invasive disease caused by the bacterial agent Yersinia pestis. We here report a comparison of 17 whole genomes of Y. pestis isolates from global sources. We also screened a global collection of 286 Y. pestis isolates for 933 SNPs using Sequenom MassArray SNP typing. We conducted phylogenetic analyses on this sequence variation dataset, assigned isolates to populations based on maximum parsimony and, from these results, made inferences regarding historical transmission routes. Our phylogenetic analysis suggests that Y. pestis evolved in or near China and spread through multiple radiations to Europe, South America, Africa and Southeast Asia, leading to country-specific lineages that can be traced by lineage-specific SNPs. All 626 current isolates from the United States reflect one radiation, and 82 isolates from Madagascar represent a second radiation. Subsequent local microevolution of Y. pestis is marked by sequential, geographically specific SNPs.     

嫁接用苗生长状态无损测量技术的研究

利用机器视觉技术对蔬菜幼苗的生长特征信息进行了无损检测,该研究技术是定量化研究植物生长规律的关键技术之一,并为蔬菜自动化生产过程中的嫁接、移栽、间苗等作业提供必要的技术理论依据.该研究通过在温室内设计了一套计算机视觉系统,对多株群体蔬菜苗的生长进行了长时间、连续、快速的无损检测,并利用VB6.0编制了图像处理软件,提取了蔬菜幼苗的外部形态特征,经过图像处理软件分析得到蔬菜幼苗的日生长变化规律,发现蔬菜苗在夜间的生长率明显高于白天.研究表明,采用机器视觉及图像处理技术可以快速、准确地监测出蔬菜幼苗的外部形态特征量,能够对蔬菜生长状态进行直观测量,实现对蔬菜幼苗生长规的定量化研究,为蔬菜生产过程中相关作业的自动化提供可靠的理论依据.