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.     

基于PowerBuilder的信息系统的权限控制

针对信息系统安全的考虑,介绍在PowerBuilder环境中对用户权限的具体控制.     

短信息——浙江省将建成海洋特别保护区

据浙江省政府办公厅披露，省政府日前颁布了《浙江省海洋特别保护区管理暂行办法》，明确指出，七类区域将可以设立海洋特别保护区。一旦保护区设立，将严禁从事狩猎、电鱼等行为。浙江省提出，海洋特别保护区可以开展旅游活动，但要科学确定旅游区的游客容量，合力控制游客流量，建立协调的生态经济模式。浙江是全国海岛数量最多、海岸线最长的省（市）。据悉，象山港、岱山、嵊泗、普陀、大陈岛等区域有望不久跻身浙江首批海洋特别保护区。     

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.     

基于Windows消息机制的人机交互的研究与应用

结合实例着重介绍了如何通过串行通讯利用Windows的消息机制来解决目前工业设备控制中人机交互的模拟问题,并对这两种技术进行了详细的论述.     

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。