科创中国

针对物流信息平台中信息资源采集系统建设的不足,提出建立基于Nutch的网页资源定向采集系统,并对中文分词、主题相关度分析、结果排序、正文解析等关键模块进行重点探讨.最后在一定条件下进行了实验,并分析了实验结果.

Due to the large variations of environment with ever-changing background and vehicles with different shapes, colors and appearances, to implement a real-time on-board vehicle recognition system with high adaptability, efficiency and robustness in complicated environments, remains challenging. This paper introduces a simultaneous detection and tracking framework for robust on-board vehicle recognition based on monocular vision technology. The framework utilizes a novel layered machine learning and particle filter to build a multi-vehicle detection and tracking system. In the vehicle detection stage, a layered machine learning method is presented, which combines coarse-search and fine-search to obtain the target using the Ada Boost-based training algorithm. The pavement segmentation method based on characteristic similarity is proposed to estimate the most likely pavement area. Efficiency and accuracy are enhanced by restricting vehicle detection within the downsized area of pavement. In vehicle tracking stage, a multi-objective tracking algorithm based on target state management and particle filter is proposed. The proposed system is evaluated by roadway video captured in a variety of traffics, illumination, and weather conditions. The evaluating results show that, under conditions of proper illumination and clear vehicle appearance, the proposed system achieves 91.2% detection rate and 2.6% false detection rate. Experiments compared to typical algorithms show that, the presented algorithm reduces the false detection rate nearly by half at the cost of decreasing 2.7%–8.6% detection rate. This paper proposes a multi-vehicle detection and tracking system, which is promising for implementation in an on-board vehicle recognition system with high precision, strong robustness and low computational cost.

提出采用基于自选定区域颜色的阈值分割方法,实现对目标色彩的分割,并提出基于颜色和边缘融合的方法实现目标定位的策略,解决跳变现象.通过实验表明了此种方法和策略的有效性和可行性.

运用最大简约法(MP)对介形纲中9个主要类群的27个形态性状及18S rDNA序列进行分析,并构建系统发育一致树,以期为尚存争议的现生介形类高级阶元分类提供新的证据.结果显示punciidaen自成一类,其分类地位与尾肢亚纲(Podocopa)和壮肢亚纲(Myodocopa)相当,可命名为"Punciocopa",但仍需更多的证据加以证实;而吸海萤类(halocypridian)由于基于形态与分子证据获得的拓扑结构不一致,其分类地位尚无法得以解决;在介形类3个亚纲中,尾肢亚纲应包括金星介(Cypridocopina)、浪花介(Cytherocopina)、巴氏介(Bairdiocopina)、达尔文介(Darwinulocopina)和泡沫介(Cytherellidae)5个类群,壮肢亚纲至少包括分肢介(Cladocopida)和壮肢介(Myodocopida)两个类群,而"Punciocopa"仅有Punciidae科.

跪坐是唐代以前中原汉族合乎礼仪的标准坐姿,宋代以后则盛行垂足坐.在小学语文教材中,有部分插图所绘的坐姿不符合历史事实,多将唐代以前流行的跪坐误绘为宋代以后盛行的垂足坐.桌椅等与垂足坐相适应的高足家具唐代以后始普遍流行,在反映唐代以前的历史插图中,不应出现桌椅等家具.中国古代的酒具、茶具和农具,其材质和样式随着时代的发展而有所不同,绘制其插图时,不能有悖于当时的时代背景.

以中药鼻炎康提取液、复方珍珠暗疮提取液和VC银翘提取液为研究对象,研究反渗透技术在提取液浓缩过程中的应用.试验结果表明,经反渗透工艺能有效脱水60%以上,中药的主要有效成分保留率达90%,膜通量稳定在14 L/(m2·h),清洗后膜通量恢复80%以上.

高中物理教科书中编入了诸多中国传统文化的素材.通过以应用比较广泛的三个版本的物理教科书中的相关内容为研究对象,进行分析和解读,认为教科书在引入传统文化时,应更多地关注其与学科内容间的联系,充分利用古诗词的魅力,并以多种方式进行展示,将传统文化元素与物理学知识更好地融合,发挥传统文化对物理课程的教育教学功能.

从宏观和微观两个层面对金融危机背景下影响我国物流企业跨国并购的相关因素进行了分析,并提出了应对策略.

早在20世纪30年代,当马林诺夫斯基阅读了费孝通的《汇材经济》给予了高度评价,并指出费先生的《汇材经济》代表了社会学的中国学派的形成.费先生逝世已经7周年,但是他一生践行的社会学人类学研究方法,依然为社会学的"本土化"有着重要的启发.实现中国社会学的"本土化"的关键是社会学古人类学的紧密结合,只有这样,才能真正创立社会学的"中国学派".

肝着liver fixity:a diseased condition arisingwhen qi and blood of the liver meridian becomedepressed and stagnant The so-called肝着,used first in Synopsis ofGolden Chamber (《金匮要略》),describes a path-ological condition caused by stagnation of qi andblood in the liver and characterized by thoracic