20世纪唐宋词选述论

20世纪是词学研究的繁荣阶段 ,而作为普及与传播唐宋词的词作选本历来相对较少。 2 0世纪编纂的唐宋词选大致有三类 :独具时代特征的选本、偏重学术研究的选本和旨在普及的欣赏性选本。词选是词学批评的独特形式。不同时期词学观念和审美情趣均在词选中有所体现。词选的研究无论对于词学研究还是对于古典文学的普及研究都具有重要意义     

爱民固边的战略思维论要

爱民固边战略是＂十一五＂时期公安边防部队在建设社会主义和谐社会中的一项重大战略部署。＂十二五＂时期,形势任务更加严峻,必须进一步找准爱民固边是促进边境经济社会发展的新型人民战争的战略定位,完善以战略目的、战略原则、战略力量、战略措施为主要内容的战略架构体系,有效探索＂爱民—固边—发展—固边—利民＂的战略路线图,突出＂维稳主导、服务民生、强基固本、多元联动＂等战略重点,坚持＂并轨发展、标本兼治、无缝对接＂基本战略路径,使爱民固边战略更加系统化、规范化,纵深推进,打造公安边防特有品牌,不断产生更大的政治社会价值。     

试论屋顶简易建筑消防安全隐患的治理

结合西藏拉萨市屋顶简易建筑治理情况,分析研究了屋顶简易建筑消防安全特点和消防安全管理面临的困境,提出了屋顶简易建筑消防安全治理的措施。     

陆军作战复杂系统ABMS机理研究

研究陆军作战复杂系统,需要解决两个不可回避的基本问题。一是怎样利用复杂性理论研究陆军作战系统的复杂性,即怎样借鉴复杂性理论构建复杂性思维模式。要解决这个问题,首先必须弄清复杂性理论概念的核心原理。二是在复杂性思维模式下,怎样进行陆军作战复杂系统的ABMS。要解决这个问题,首先必须弄清陆军作战复杂系统ABMS的机理所在。就这两个问题,在研究复杂性理论概念核心原理的基础上,构建了复杂性思维模式框架——复杂性分析二维结构,并由此探索了陆军作战复杂系统ABMS的机理:二维结构、"四个要素"、基本过程和陆战Agent模型框架,为陆军作战复杂系统的ABMS奠定了基础。     

论我国海上执法力量的整合与构建

我国现行的海上执勤执法体制存在种种弊端,国家迫切需要建立一支近能管理、远能维权、平战结合的海上执法力量及其管理机构,以此来抵御非军事入侵、维护海洋权益和实施海洋管理。运用科学发展观和比较分析法,提出从战略发展、与国际接轨、依法治国和整合成本四个方面,构建我国以海警为主的海上执法力量。     

黑板模型的舰炮武器系统体系结构

由于黑板结构具有层次性、内在并行性和支持增量开发的优点,令牌总线网可有效解决系统化分时间片造成的信道浪费的缺点,分析了舰炮武器系统存在的一些问题,将这两种方法引入舰炮武器系统.并给出了为实现系统目标的各个知识源和控制器的算法.     

试论屈原的人生观

屈原的人生观是以立志成名、追求理想、进德修业、乐观向上为主要特征的 ,表现出了胸襟宽阔、锐意进取、昂扬奋发的气概。它能够使人从中获得极大的精神鼓舞和深刻的人生启迪     

Case‐based reasoning and improved adaptive search for project scheduling

Most scheduling problems are notoriously intractable, so the majority of algorithms for them are heuristic in nature. Priority rule‐based methods still constitute the most important class of these heuristics. Of these, in turn, parametrized biased random sampling methods have attracted particular interest, due to the fact that they outperform all other priority rule‐based methods known. Yet, even the “best” such algorithms are unable to relate to the full range of instances of a problem: Usually there will exist instances on which other algorithms do better. We maintain that asking for the one best algorithm for a problem may be asking too much. The recently proposed concept of control schemes, which refers to algorithmic schemes allowing to steer parametrized algorithms, opens up ways to refine existing algorithms in this regard and improve their effectiveness considerably. We extend this approach by integrating heuristics and case‐based reasoning (CBR), an approach that has been successfully used in artificial intelligence applications. Using the resource‐constrained project scheduling problem as a vehicle, we describe how to devise such a CBR system, systematically analyzing the effect of several criteria on algorithmic performance. Extensive computational results validate the efficacy of our approach and reveal a performance similar or close to state‐of‐the‐art heuristics. In addition, the analysis undertaken provides new insight into the behaviour of a wide class of scheduling heuristics. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 201–222, 2000     

Two exact algorithms for the vehicle routing problem on trees

This article describes a heuristic and two exact algorithms for several classes of vehicle routing problems defined on tree networks. These include capacitated and time‐constrained vehicle routing problems. One of the exact algorithms is based on the computation of bin packing lower bounds. The other uses column generation. The first algorithm performs better on problems containing small customer demands and in which all vehicles are identical. Otherwise, the second algorithm is more powerful and more versatile. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 75–89, 1999     

基于相关度和注意力聚焦的图像内容检索

基于内容的检索中对图像和视频帧的处理是以色彩、形状和纹理等为基本特征,这些特征在图像背景比较单一的情况下容易获得。一旦图像背景为色彩和纹理均很复杂的图像时,图像中目标的颜色和形状等特征就很难获得。若将从计算机视觉中引出的相关度和注意力聚焦两个概念用于从复杂背景图像中定位和选取最有关的信息,则能够有效地检索到最匹配的图像。本文通过对相关度和注意力聚焦两个概念的讨论,介绍了计算机视觉对基于内容检索的作用,尤其是在可视示例查询ＱＶＥ（ＱｕｅｒｙｂｙＶｉｓｕａｌＥｘａｍｐｌｅ）的情况下从大图像数据库中检索图像的情况