可修复航材二级库存模型研究

首先分析了可修复航材的消耗规律;其次以期望缺货数作为目标函数,建立了可修复器材的二级库存优化模型;最后利用进化计算理论制定了该模型的求解算法,并通过算例对该方法进行了验证.     

SEM图像分形维数的影响因素研究

以玻璃光纤、碳纤维纸和两种机加工表面样本的扫描电子显微镜图像为对象,运用盒维法研究了不同的放大倍数和采集过程中受到的噪声干扰对分形维数的影响.研究结果表明,随着放大倍数增大或随着椒盐噪声密度和高斯随机噪声方差的减小,分形维数下降.放大倍数和噪声对分形维数都有较大影响.在扫描电子显微镜图像分形维数的计算中,可以依据试样的结构特征选择合适的放大倍数,进行去噪处理后再计算图像的分形维数.     

Progressive fragmentation of a traditional Mediterranean landscape by hazelnut plantations: The impact of CAP over time in the Langhe region (NW Italy)

Land use change is strongly modifying the traditional landscape of hilly productive Mediterranean sites. An example of these circumstances is the Langhe region (Piemonte, NW Italy), where woody plantations such as vineyards and orchards have been cultivated on hillslopes for centuries. In this paper we assess landscape changes occurred in the Diano study area (2651 ha) in the 1954–2000 period and we ascertain land use transition paths and rates of this rural ecosystem. Land use mapping obtained from object-oriented analysis of aerial photographs was used to quantify land use changes between 1954 and 2000. To examine the spatio-temporal patterns of land use change over time, a set of spatial statistics capturing different dimensions of landscape change was identified. An increase of landscape heterogeneity from 1954 to the present was observed due to the expansion of orchards and the fragmentation of field crops. A significant portion (55%) of current orchards surface is represented by former field crops, 24% by vineyards and 15% by forests. The strong expansion of hazelnut orchards concurred to the fragmentation of traditional rural landscape was dominated by vineyards, field crops and forests. Hazelnut orchards expansion was mainly located in places where grapes cultivation was less remunerative. A further expansion of hazelnut in the area should be planned, discussed and carefully monitored through change detection studies in order to avoid potential unsustainable use of the land.     

The iconicity of celebrity and the spiritual impulse

Celebrity has a powerful material presence in contemporary consumer culture but its surface aesthetic resonates with the promise of deeper meanings. This Marketplace Icon contribution speculates on the iconicity of celebrity from a spiritual perspective. The social value or authenticity of contemporary celebrity, and the social processes through which it emerges, are matters of debate amongst researchers and competing approaches include field theory, functionalism, and anthropologically inflected accounts of the latent need for ritual, myth and spiritual fulfillment evinced by celebrity “worship.” We focus on the latter area as a partial explanation of the phenomenon whereby so many consumers seem so enchanted by images of, and stories about, individuals with whom they, or we, often have little in common. We speculate that the powerful presence of celebrity in Western consumer culture to some extent reflects and exploits a latent need for myths of redemption through the iconic character of many, though by no means all, manifestations of celebrity consumption.     

客体物象对主体形象的暗示和显现——《觉醒》中“鸟”和“大海”的象征意义

《觉醒》是19世纪末美国著名女作家凯特·肖邦的代表作,也是美国文学史上一部女权主义杰作。作品中鸟和大海的物象具有对主人公形象及其生命历程的暗示和显现作用,从而显示出深邃而丰富的内涵和鲜明而独特的象征意义。     

立象以尽意——中国古典诗歌创作范式

＂立象以尽意＂是一个哲学命题,它反映的是存在和表达方式之间的关系。经由哲学领域发展到文学领域后,这一命题对中国古典诗歌创作产生了重大影响,成为古典诗歌创作的范式。诗人们的创作遵循＂言不尽意———立象以尽意＂这一思维模式,从语言之＂象＂、无形之＂象＂、有形之＂象＂三个方面,试图在诗歌中树立起一个大于语言本身的＂象＂,从而来实现＂尽意＂的目的。正是这种创作范式,形成了中国古典诗歌含蓄隽永、意境深远的艺术特征。     

无人机测控信道衰落特性及其抑制方式

分析了无人机测控信道模型以及由小规模衰落带来的非频率选择性衰落、频率选择性 衰落与时间选择性衰落的产生机理及特性,并针对这3种衰落进行了抑制方法分析,指出O FDM、交织与编码以及空间分集是无人机测控中值得重点研究的抗衰落技术。     

基于显著区域提取的红外图像舰船目标检测

针对复杂海面背景下红外图像舰船目标由于灰度不均匀、海杂波干扰大等因素造成的自动检测虚警率高、准确率低的问题,提出了一种显著区域提取和目标精确分割相结合的红外舰船目标检测方法。首先,利用基于图论的视觉显著性(Graph-based Visual Saliency ,GBVS)模型计算待检测图像的显著图,使得目标区域信息增强;其次,结合舰船目标先验信息（长短轴、面积等）,利用多级阈值划分算法提取关注的显著区域,并确定原图中候选目标区域;最后,利用空间约束模糊C均值(Fuzzy C-Means,FCM)算法对候选区域进行分割,结合目标先验知识对分割区域筛选并输出目标位置。所提方法在公开数据集IRShips上与相关方法进行比较,结果表明,相比直接进行全图目标搜索的方法,所提方法不仅准确率高、执行速度快,且检测目标的位置更加精确。     

基于大规模街景图片人工智能分析的精细化城市修补方法研究

在中国快速城镇化阶段“重量”而“轻质”的建设过程中,城市建成区尤其是老城区的景观环境产生了诸如景观视廊受阻、风貌破败等大量问题。对此,自2015年中央城市工作会议以来,各地相继开展了城市修补专项规划,以修复及更新城市建成环境,促进城市空间品质提升。然而,由于缺乏对城市环境整体效应的统筹考虑,故在城市实际修补过程中,城市局部地块的品质提升反而对城市整体品质构成负面影响。因此,在人工智能及大数据技术深度介入城市规划和设计实践探索的基础上,研究基于全卷积神经网络模型(FCN)和城市场景要素深度学习数据集,对城市景观环境中的各要素进行了大规模且高颗粒度的精确识别,同时与空间数据叠加,对复杂建成环境中的景观问题进行精确分析,并基于分析成果辅助后续城市规划设计实践,逐层递进地对城市复杂建成环境进行精细化修补。选择位于嵩山脚下的登封市作为案例,探索人工智能技术在辅助城市修补等规划领域的前瞻性应用。     

基于红外图像的林火识别方法及实现

森林火灾是一种突发性强、破坏性大且处置救助较为困难的自然灾害,会对森林、森林生态系统和人类带来一定危害和损失。早期的林火判别多基于温度、烟雾以及24小时图像监测实现,主观性强,标准单一,且误报率高。如何快速发现林火目标并及时报警扑灭,已经成为国内外学者研究的热点之一。文章基于红外热像仪,对大量森林背景及模拟林火状态进行了图像和温度数据的采集,首次提出了基于温度标准差方法进行热源识别的概念,得出了不同地点、不同时间段森林背景的温度标准差分布,以及明火温度在各阶段的波动范围,为林火的预防和监测提供了重要依据。同时,通过对干扰源进入前后的红外图像进行预处理和分析,对比目标热源的像素面积变化率及其圆形度,即可准确实现部分干扰热源的排除。实验结果证明,将此基于红外图像的热源初判原则与干扰源排除的规律应用于林火监测,方法简单有效,准确率高,对降低森林火灾的发生率,提高社会经济效益有着重要的作用。