基于嵌入式微处理器S3C44B0X的USB通信

基于ARM7内核S3C44B0X微处理器和USB接口芯片PDIUSBD12,详细设计了S3C44B0X与芯片PDIUSBD12的连接方法,搭建了以二者为基础的嵌入式工作平台.基于此工作平台,实现了以微处理器S3C44B0X为核心的嵌入式系统中扩展USB接口,并给出了具体实现程序.     

Study on Recognition Method of Similar Weather Scenes in Terminal Area

Weather is a key factor affecting the control of air traffic. Accurate recognition and classification of similar weather scenes in the terminal area is helpful for rapid decision-making in air traffic flow management. Current researches mostly use traditional machine learning methods to extract features of weather scenes, and clustering algorithms to divide similar scenes. Inspired by the excellent performance of deep learning in image recognition, this paper proposes a terminal area similar weather scene classification method based on improved deep convolution embedded clustering (IDCEC), which uses the combination of the encoding layer and the decoding layer to reduce the dimensionality of the weather image, retaining useful information to the greatest extent, and then uses the combination of the pre-trained encoding layer and the clustering layer to train the clustering model of the similar scenes in the terminal area. Finally, terminal area of Guangzhou Airport is selected as the research object, the method proposed in this article is used to classify historical weather data in similar scenes, and the performance is compared with other state-of-the-art methods. The experimental results show that the proposed IDCEC method can identify similar scenes more accurately based on the spatial distribution characteristics and severity of weather; at the same time, compared with the actual flight volume in the Guangzhou terminal area, IDCEC's recognition results of similar weather scenes are consistent with the recognition of experts in the field.     

Semi-supervised transformable architecture search for feature distillation

Pattern Analysis and Applications - The designed method aims to perform image classification tasks efficiently and accurately. Different from the traditional CNN-based image classification methods,...     

跨谱段SAR散射中心多维参数解耦和估计方法

微波光子雷达发射大带宽跨谱段的信号,为目标的精细电磁特性描述和准确识别提供基础的同时,也亟需与之相应的大带宽大转角情况下的电磁模型参数提取方法.相比窄带条件,跨谱段信号数据量大,所含物理量信息维度高且复杂,大转角情况下距离和方位向耦合.该文提出跨谱段SAR散射中心多维参数解耦和估计方法,首先结合极坐标格式算法(PFA)和属性散射中心模型构造2维解耦波数域散射中心模型,再结合坐标下降法(CDA)将复杂的高维耦合参数估计方法简化为循环迭代的1维参数估计方法,有效降低字典维度和估计复杂度,并引入Hooke-Jeeves算法提高估计精度.最后根据各个散射中心的参数估计结果对它们的结构和位置进行识别,对仿真数据的处理实验验证了该文方法的有效性.     

关于赣南客家文化产品与包装设计的思考

客家文化是以汉民族传统文化为主体,融合了畲、瑶等土著民族文化而形成的一种多元文化;她具有质朴无华的风格,务实避虚的精神。与闽西、粤东相比,赣南客家文化以其历史悠久和内容丰厚而为世人所瞩目;它包括历史文化遗迹、姓氏宗族文化、方言文化、民居文化、饮食文化、服饰文化、民俗文化、民间文艺等方面。文章主要介绍赣南客家文化产品,提出客家产品包装从设计要素方面着手,借鉴和运用相关的客家文化元素,提升产品文化的品位与艺术内涵,提升包装设计的创意品位,以提升客家特色产品整体形象,更好地宣传与开发客家文化产品,让更多人了解赣南客家文化。     

PLC控制在转炉上的应用案例

介绍荣信钢铁转炉过程控制系统的组成、系统功能、技术应用。     

火灾烟雾环境下人员逃生行为仿真研究

针对火灾时避难人员流动的基本特性及建筑物的设计布局对人群拥挤状况的影响,引入烟雾时逃生人员产生作用力的公式,并加入到社会力中,在保留计算疏散时间的基础上,提出了方向指示灯和避难方向指示灯对避难人员自驱力的影响方法.仿真实验结果表明,指示灯的设置以及设置的个数,对避难行为有重大的影响;对建筑设计人员具有一定的参考价值,同时给消防人员提供了救援过程中的最短时间要求.     

Solving single-product economic lot-sizing problem with non-increasing setup cost,constant capacity and convex inventory cost in O(N log N) time

This paper considers an economic lot sizing model with constant capacity, non-increasing setup cost, and convex inventory cost function. Algorithms with computational time of O(N×TD_N)have been developed for solving the model, where N is the number of planning periods and TD_N is the total demand. This study partially characterizes the optimal planning structure of the model. A new efficient algorithm with computational time of O(N log N) has also been developed based on the partial optimal structure. Moreover, computational study demonstrates that the new algorithm is efficient.     

使用动作脚本设计互动媒体

使用Flash制作动作,如果只基于时间轴和动画图层来设计,将会受到很大的限制,例如一些复杂、精彩的动画效果难以实现,也不能让观赏者与媒体互动,即媒体不具有交互性。要想动画具有交互性,能使观赏者通过选择来控制播放的顺序或呈现不同的内容,就需要使用Flash的动作脚本语言。     

抗噪Roberts算子边沿检测器

图像边缘检测是图像分割、目标识别、区域形态提取等图像分析技术的基础。边沿检测的软件实现有很多方法,但其一般无法保证在低成本计算平台上的实时性。因此文中基于形态学滤波和Roberts边沿检测算法提出一组数字电路,用以实现低成本、实时图像边沿检测器。文中还对比了Roberts算子的Matlab上实现和硬件实现的实际效果,发现实际硬件的边沿检测精度更高,噪声更多,必须采用去噪电路。该检测器消耗ALTERA-EP4CE115中2139个逻辑单元,每秒可处理30帧分辨率为640*480的RGB图像。