A CASE STUDY ON CONCENTRATION AND DECENTRALIZATION：BEHAVIOR AND DYNAMIC MECHANISM OF SPATIAL EVOLUTION IN METROPOLITAN AREA，NANJING，CHINA

In rapid socio-economic development,the process of concentration and dispersal of various elements tends to be more dramatic,tremendously influencing the shaping and transformation of the space in metropolitan area.Survey of spatial concentration and decentralization has thus become a basic method in examining metropolitan spatial evolution.In this research,three elements were selected as the essential indicators of the process:demographic density distribu-tion,employment density distribution and business office location.Performance of these elements in Nanjing City was exam-ined historically.As Nanjing City could be regarded as a representative of metropolitan areas in China,its situation large-ly suggestes the general characteristics in similar areas of China.Hence based on the investigation of Nanjing City,four general implications were highlighted.First ,metropolitan areas in China are in a violent process and shift of spatial concentra-tion and decentralization.Second,from now to at least the near future,concentration will continue to be the central fea-ture.Third,the landscape of metropolitan areas basically exhibits a dual structure character.The gap in environmental and ecological qualities among different districts will continue for a long time.Fourth,Central Business District (CBD) is playing an important role in helping to convert the traditionally single-centered city structure into a polycentric one.     

一种基于特征信息的车牌识别方法

根据中国车辆牌照本身的现有特征信息,提出一种车牌识别方法.采用全局动态阈值法进行二值化处理图像,牌照定位算法简单迅速,字符分割参考垂直投影间隔和字符的纵横比.实验结果表明,这种方法具有良好的环境适应性和鲁棒性.     

Incorporation of Perception-based Information in Robot Learning Using Fuzzy Reinforcement Learning Agents

Robot learning in unstructured environments has been proved to be an extremely challenging problem, mainly because of many uncertainties always present in the real world. Human beings, on the other hand, seem to cope very well with uncertain and unpredictable environments, often relying on perception-based information. Furthermore, humans beings can also utilize perceptions to guide their learning on those parts of the perception-action space that are actually relevant to the task. Therefore, we conduct a research aimed at improving robot learning through the incorporation of both perceptionbased and measurement-based information. For this reason, a fuzzy reinforcement learning (FRL) agent is proposed in this paper. Based on a neural-fuzzy architecture, different kinds of information can be incorporated into the FRL agent to initialise its action network, critic network and evaluation feedback module so as to accelerate its learning. By making use of the global optimisation capability of GAs (genetic algorithms), a GA-based FRL (GAFRL) agent is presented to solve the local minima problem in traditional actor-critic reinforcement learning. On the other hand, with the prediction capability of the critic network, GAs can perform a more effective global search. Different GAFRL agents are constructed and verified by using the simulation model of a physical biped robot. The simulation analysis shows that the biped learning rate for dynamic balance can be improved by incorporating perception-based information on biped balancing and walking evaluation. The biped robot can find its application in ocean exploration, detection or sea rescue activity, as well as military maritimeac tivity.     

旗舰的绿色动力定位——“中国海监83”船（二）

船载直升机保障系统为了增强海监在海上的执法能力,扩大巡航区域,提高应急反应速度,“中国海监83”船上专门设计建造了直升机船载系统,为1架Z9型海监直升机搭载、起降提供了条件。直升机船载系统由调度指挥系统、起降系统、喷漆燃料及加油系统、消防灭火系统、维修保养系统组成     

激电偶极—偶极装置在撒岱沟门的找矿效果

本介绍撒岱沟相矿区应用激电偶极－偶极装置的找矿效果。通过对其成果分析和钻探证实：利用该装置所获资料，不仅能从断面上直观地推测出极化体的分布及产状变化，还能从不同深度的ηｓ平面成果中分析出极化体在地下空间赋存状态的基本轮廓。     

丽江高美古的二期选址——望远镜地面高度的确定

在丽江高美古前期选址工作的基础上^[1-2]，二期选址的望远镜地面高度的确定工作于2000年11月3日至2000年12月16日进行，采用30m铁塔的温度脉动测量装置，对6#选址观测点的近地面大气湍流进行反复多次测量，得到近地面不同高度(4-30m和8-22m)上每夜温度结构系数CT^2的平均值，对观测取得的资料作进一步处理和分析，得到高美古6#观测点的望远镜地面高度为13～15m。