Large content providers build points of presence around the world, each connected to tens or hundreds of networks. Ideally, this connectivity lets providers better serve users, but providers cannot obtain enough capacity on some preferred peering paths to handle peak traffic demands. These capacity constraints, coupled with volatile traffic and performance and the limitations of the 20 year old...

This paper analyzes success public spaces (specifically plazas) in the urban fabric of the city of Murcia, Spain. Two approaches were adopted. Firstly, the city was visualized as a complex network whose nodes represent plazas. A centrality algorithm was applied to determine the importance of each node. Secondly, data sets were used from social networks Foursquare and Twitter, which provide diff...

A climate resilient city, perforce, has an efficient and robust energy infrastructure that can harvest local resources match sources sinks vary over space time. This paper explores the use of urban building model (UBEM) to examine potential for creating a near-zero carbon neighbourhood in Dublin (Ireland) is characterised by diverse land-uses old new stock. UBEMs are relatively tool allows simu...

Introduction Conclusions References Tables Figures Back Close Abstract Introduction Conclusions References Tables Figures Back Close Abstract The Martilli's urban parameterization scheme is improved and implemented in a mesoscale model in order to take into account the typical effects of a real city on the air temperature near the ground and on the surface exchange fluxes. The mesoscale model i...

Urban regeneration has proved to be a testing and on-going challenge for both central government and local authorities within the UK and successful solutions have proved to be elusive, at best partial rather than comprehensive and often difficult to sustain. Long-term structural economic decline, the continuing shift from a manufacturing to a service and knowledge based economy, the relentless ...

As urban population grow, commercial activities play a fundamental role in providing goods, services and are part of cities fabric. Policy makers and urban planners need new tools to study these areas. This paper describes how machine learning can be applied to predict the density of commercial activities in cities. A supervised machine learning method called Gradient Boosting was applied to a ...

planning for urban density is one of the most important problems facing contemporary urban planning at both national and universal. urbanized world - that is changing permanently - needs an optimum extent of urban density which can consider both quantitative (efficient use of land and urban infrastructures, reducing energy consumption, etc.) and qualitative requirements (such as providing desir...

here, in situ synthesis of nano zinc oxide, along with aminolysis of polyester fabric, has simultaneously been carried out by using triethanol amine (tea) and zinc acetate. the zno nano particles (nps) were formed and stabilized on the fabric surface by amine compound at 130 °c for 1 h. the synthesis of nano zno particles on the polyester fabric were confirmed by x-ray diffraction (xrd) pattern...

Since the industrial revolution, accelerated urban growth has overflown administrative divisions, merged cities into large built extensions, and blurred the boundaries between urban and rural land-uses. These traits, present in most of contemporary metropolis, complicate the definition of cities, a crucial issue considering that objective and comparable metrics are the basic inputs needed for t...

Urban vulnerability is the probability of damage to cities and urban infrastructures against natural unnatural events. In this regard, in last half century, land subsidence has involved many countries as a potential risk for urban, industrial agricultural areas. With occurrence subsidence, physical structural characteristics structures built city are changed show different behavior. For reason,...