论局域网的安全防范

网络技术、通信技术和计算机技术的突飞猛进使得很多的企业单位、机关部门和学校搭建了属于自己的局域网.信息安全问题是局域网实际应用过程中最受关注的问题.本文阐述了局域网安全的内涵和意义,分析了目前局域网安全防范中存在的问题,并根据笔者的实际经验给出了有效增强局域网安全防范的相关建议.     

Analysis of junction temperatures in high-power GaN-based LEDs

We presented the analysis of the incomplete conduction in bonding medium in high power GaN-based light-emitting diode (LED) packages. A numerical study was carried out with parametric model to understand the junction temperature variation due to bonding medium defects. Transient thermal measurement was performed to evaluate LED’s junction temperature. Thermal resistance from chip to lead frame was 20 K/W in our sample LED. It was suggested that only 60% of the surface area of the bonding medium was involved...     

Zipf定律在划定经济区域内的实证研究——以长江三角洲经济区为例

国外关于Zipf定律的实证研究的区域空间多采用国家层次,而国内关于Zipf定律的实证研究则涉及国家、跨省的经济区及行政省的不同层次,于是这就有可能存在经济区域空间划定是否合理的问题。现以长江三角洲地区为例,通过修正的引力模型计算城市之间的经济联系强度及潜能,以此进行长江三角洲经济区域的空间划定,并在划定的经济区域内进行Zipf定律的实证研究,以验证经济区域空间划定是否合理。研究结果显示了经济区域空间划定的合理性。     

Renewal strategies for old industrial areas in the post-industrial age—Take “Zurich-West” in Switzerland as an example

This paper introduces and analyses the renewal planning of “Zurich-West”, an old industrial area. It points out that systematic and comprehensive target orientation, extensive collaboration in argumentation and decision-making, and the design ideas of coexistence and integration are the key to its success. Considering the status quo of China’s old industrial district remodeling, the paper offers some suggestions. Supported by the National Natural Science Foundation of China (Grant No. 50878045)     

一种白光测速仪在热锯区域中的应用

阐述白光测速仪的工作原理及优缺点,介绍其在莱钢大H型钢生产线热锯区域的应用.     

Fast method for SAR echo simulation of a three-dimensional ground scene

Due to huge calculation of SAR echo simulation of a three-dimensional (3D) ground scene, a fast simulation method is proposed. First, the data of a 3D ground scene are fractionally interpolated based on the Fractional Brownian Motion (FBM) model. Second, the data interpolated are divided into lots of small facets whose precision meets the simulation requirement, the backscattering coefficients of the small facets are calculated. Third, the shaded area is judged by the comparison method of overlook angles. Three parallel levels are analyzed and the kernel function is designed. Finally, the computing method of reduction adding and external thread are also utilized under the framework of GPU in order to get high efficiency. With the methods mentioned above, the imaging result of experimental DEM data verifies the validity and superiority of the proposed method.     

新型城镇化下欠发达地区传统文化保护研究——以张家口市段家堡村为例

新型城镇化背景下欠发达地区传统文化保护的关键取决于其能否在保护文化资本和环境资本的基础上,实现经济资本的提升、文化价值观念及生活方式的转变.通过对张家口市下花园区段家堡村传统文化的调查研究,提出转变观念,主动保护、挖掘和丰富欠发达地区传统文化特色,提升旅游开发优势,带动地区经济发展,实现新型城镇化的同时更好地保护传统文化.     

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.     

地铁站场景下的可行驶区域检测

在室内环境下的机器人视觉导航任务中,可行驶区域检测是不可或缺的一部分,这是保证自动驾驶任务实现的基础.目前较多的解决方法是对数据集中出现过的障碍物进行识别来检测可行驶区域,缺乏灵活性,因此本文提出了一种针对地铁站等室内平坦地面的可行驶区域检测方法,提高实用性.本文采用经典的MobileNetV3网络对采集到的前方图像进行分类,判断是否为地面区域.由于室内地面的地标、箭头等贴纸的影响,因此需要对非地面区域进一步判断,与常规的立体障碍物进行区分.本文利用连续帧之间的特征点匹配获得相机移动距离,并利用直线拟合计算斜率的方法达到区分立体障碍物与平面地标的目的.实验表明,本文提出的方法能较好地检测机器人前方可行驶区域,具有较高的实用价值.