岸边集装箱起重机箱型构件疲劳裂纹扩展分析

针对二维裂纹扩展模式不能非常全面地反映岸边集装箱起重机箱型构件的疲劳裂纹扩展行为的情况,通过对港口起重机箱型结构件在承受拉伸、纯弯及弯扭结合等载荷情况下的疲劳裂纹扩展分析,得出针对此类大型、薄壁结构件的未穿透裂纹的裂纹扩展特点及裂纹剖面扩展特性.对港口起重机的产品设计及无损裂纹检测具有一定参考价值.     

基于混堆模式的集装箱码头出口箱进场选位策略

针对集装箱码头出口箱进场选位问题,提出基于混堆模式的出口箱进场选位优化策略.该策略以压箱数最少为目标,建立基于整数规划的选位模型;根据发箱时较低翻箱率的要求,采用启发式算法和分布式遗传算法相结合的混合算法求解选位模型;其中启发式规则用于缩小可行解的范围,分布式遗传算法用于求近似最优解.某集装箱码头的仿真案例表明,采用该模型和算法对降低船舶压箱总数和在港时间具有一定作用,说明该出口箱混堆选位模型和算法的有效性与实用性.     

云存储中一种自适应的副本一致性维护机制

提出一种基于应用和用户需求的自适应的副本一致性维护机制,包括更新一致性和归并一致性.系统根据形式化的一致性需求实时调整一致性机制,达到副本一致性、可用性和系统性能之间的动态平衡.实验结果表明,该机制能够在保证一致性需求的情况下,显著降低操作代价并提高副本可用性.     

基于绿色存储的数据资源中心建设

随着全球信息化和数字图书馆建设进程的加快,数据资源的爆炸性增长导致存储容量的大幅度增加,许多大容量、大功率的传统存储设备得到广泛应用,导致数据资源中心的高成本、高能耗,对环境保护带来新的问题和挑战。针对这一问题,提出引入绿色存储存储理念、实施绿色存储战略,是实现节能降耗、降低系统总体拥有成本的关键;通过目前常用绿色存储技术的详细分析和介绍,对我们在实际工作中如何选用符合相关法规与标准的存储设备,建设高能效数据资源中心具有较强的指导意义。     

高校数字图书馆存储网络建设研究与实践

就当前高校数字图书馆海量数据存储的现状及需求而言,构建一个安全、高效的存储后台已成为数字图书馆建设中的重要任务。网络存储模式主要有DAS、NAS、SAN3种,且各具特色,但由于SAN架构具有集中管理和高性能存储的优点,在现代存储模式中脱颖而出,成为当前数字图书馆普遍采用的网络存储方式。本文通过对不同存储架构的对比分析,提出一种切实可行的基于IP-SAN架构的网络存储方案。     

决策树在计算机中的存贮与计算

针对统计决策中的决策树决策法,提出了一种在计算机中存贮和计算决策树的方法,使得对决策树的描述十分简单、清晰,便于决策树的计算的程序实现,对于决策树决策法的进一步推广有一定的实际意义。     

CSANTM技术在高校图书馆局域网中的应用前景

介绍了CSANTM技术及其在局域网中的应用优势,认为该技术可以从根本上解决高校图书馆局域网在发展、管理和维护方面所面临的一些问题,使图书馆能以合理的综合成本发挥计算机网络系统的最大效能,极大程度地提高计算机应用管理效率和网络中计算机的安全性、稳定性和抗病毒能力,较大幅度地降低图书馆信息系统总体拥有成本,在高校图书馆局域网中有着良好的应用前景.参考文献4.     

Line clipping against polygonal window algorithm based on the multiple virtual boxes rejecting

This paper presents a new algorithm for line clipping against a polygonal window by exploiting the local relationship between each line segment and the polygon. Firstly, a minimal enclosing box (MEB) of the polygon is adopted to reject the invisible line segments located outside the MEB. Secondly, a 45° rotated box is used to encode the endpoint of the line segment, and then reject a portion of the invisible segments crossing polygon corners. Finally, instead of encoding the endpoints of all line segments with respect to the polygonal window, each vertex of the polygon is encoded, taking the line segment to be clipped as reference. For efficient encoding of the polygon vertices, a new concept, termed with slope adaptive virtual box, is introduced regarding each line segment. Such a box can not only conveniently reject all totally invisible lines lying outside the MEB conveniently, but also precisely identify the edges of the polygon with which the line segment potentially intersects. With the summation of the vertex codes, it can be verified whether the line segment is separated from or potentially intersects the polygon window. Based on the product of the codes of adjacent vertices, singular cases of intersection can be solved accurately. Experimental results demonstrate the efficiency and stability of the new algorithm.     

Patient-based benefit-risk assessment of medicines: development,refinement, and validation of a content search strategy to retrieve relevant studies

Introduction:Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can be adapted for any search for evidence on patient-based BRA of medicines for any therapeutic area.Methods:We used a robust multistep process to develop and validate the content search strategy: (1) we developed a bank of search terms derived from screening studies on patient-based BRA of medicines in various therapeutic areas, (2) we refined the proposed content search strategy through an iterative process of testing sensitivity and precision of search terms, and (3) we validated the final search strategy in PubMed by firstly using multiple sclerosis as a case condition and secondly computing its relative performance versus a published systematic review on patient-based BRA of medicines in rheumatoid arthritis.Results:We conceptualized a final search strategy to retrieve studies on patient-based BRA containing generic search terms grouped into two domains, namely the patient and the BRA of medicines (sensitivity 84%, specificity 99.4%, precision 20.7%). The relative performance of the content search strategy was 85.7% compared with a search from a published systematic review of patient preferences in the treatment of rheumatoid arthritis. We also developed a more extended filter, with a relative performance of 93.3% when compared with a search from a published systematic review of patient preferences in lung cancer.     

柑桔贮藏保鲜研究

对本地产柑桔用不同药剂配方进行了贮藏保鲜试验。结果表明特克多加2．4—D或甲基托布津加2．4—D防病效果最好。醋酸也有较好的防病效果。药剂处理后用0．01mm厚聚乙烯薄膜单果包装，对保持果实风味和水份，延长贮藏期起了重要作用。