Recent History - Art In Ruins

Some two decades on, guest-editor Nic Clear returns to the work of Hannah Vowles and Glyn Banks of collaborative art practice Art in Ruins. As cited by Brian Hatton on their behalf in 1989: ‘in the city of the future everything will be historical (ie visited) for fifteen minutes’. Copyright © 2009 John Wiley & Sons, Ltd.     

LET US DESIGN STREETS FOR THE FUTURE WE WANT

This article will call attention to the role of street design in inviting and prioritizing certain uses and highlight efforts made by cities across the globe to move away from caroriented and toward people-oriented streets. There are many low-technology solutions available to create better cities, and yet, we are in an era where the vision for the future of streets is clouded by the advent of autonomous vehicles. This article will emphasize that urgent action is needed to change the prevailing approach to street design and shift the measure of success away from car-oriented metrics and toward metrics that address access, safety, equitable distribution of space, environmental quality, public health, and overall quality of life. Practitioners and decision-makers should not assume that technology will solve the challenges cities are facing today and should focus first on designing streets that prioritize the most efficient modes of transport and create people-friendly cities.     

基于快速BP算法的城市可持续发展综合评价

城市可持续发展是一个多因素的相互作用的过程 ,要建立一个既简单又能反映可持续发展普遍规律的评价方法难度很大。通过把附加动量法和自适应算法相结合而形成的快速BP神经网络算法用于对城市可持续发展综合评价 ,结果证明该方法是有效的。     

Vulnerable groups,virtual cities,and social isolation

The number of people suffering from perpetual loneliness continues to increase, diminishing their wellbeing. While this condition affects people's mental life, research shows that it also significantly impacts physical health. Those enduring such hardships often have superficial encounters, but they lack meaningful social engagement with others. Addressing this problem requires highly specialized and interdisciplinary mitigatory efforts. The increasing economic feasibility of virtual reality equipment can help remedy some of these situations, especially when users can connect in supportive digital environs, “virtual cities.” In turn, this exploratory paper examines how creating specific kinds of virtual cities could facilitate meaningful social engagements, which can improve numerous people's living conditions. The author fleshes out this view, showing that these technologies' progressive nature can be shaped to secure the needed measures to improve the quality of some people's lives..     

基于GIS技术的旧城改造规划--以苏州古城为例

以苏州古城32号街坊规划成果数据为基础，论述了运用GIS技术进行旧城改造与保护规划信息系统开发方法及其在规划管理中的分析应用。重点对系统结构设计、基础数据处理、空间分析、地理建模等方面都做了详尽的讨论。其工作为建立旧城改造与保护规划信息系统提供一个成功的范例，也为规划设计和管理提出了一种新的方法。最后，还提出了规划设计和管理数字技术的发展方向应是城市规划空间决策支持系统。     

城市、建筑与社会2006威尼斯双年展第十届国际建筑展

文章介绍了2006年威尼斯双年展对“城市、建筑、社会”主题的展示,反映了全球化环境中各国和地区的不同文化人群的相关思考。     

市(地)县(市)两级数字档案馆建设面临的主要问题及对策

文章阐述与分析了市(地)县(市)两级数字档案馆建设面临的主要问题,提出了若干对策性建议。     

Midgar: Detection of people through computer vision in the Internet of Things scenarios to improve the security in Smart Cities,Smart Towns,and Smart Homes

Could we use Computer Vision in the Internet of Things for using pictures as sensors? This is the principal hypothesis that we want to resolve. Currently, in order to create safety areas, cities, or homes, people use IP cameras. Nevertheless, this system needs people who watch the camera images, watch the recording after something occurred, or watch when the camera notifies them of any movement. These are the disadvantages. Furthermore, there are many Smart Cities and Smart Homes around the world. This is why we thought of using the idea of the Internet of Things to add a way of automating the use of IP cameras. In our case, we propose the analysis of pictures through Computer Vision to detect people in the analysed pictures. With this analysis, we are able to obtain if these pictures contain people and handle the pictures as if they were sensors with two possible states. Notwithstanding, Computer Vision is a very complicated field. This is why we needed a second hypothesis: Could we work with Computer Vision in the Internet of Things with a good accuracy to automate or semi-automate this kind of events? The demonstration of these hypotheses required a testing over our Computer Vision module to check the possibilities that we have to use this module in a possible real environment with a good accuracy. Our proposal, as a possible solution, is the analysis of entire sequence instead of isolated pictures for using pictures as sensors in the Internet of Things.