The Architecture of Home in Cairo: Socio-Spatial Practice of the Hawari's Everyday Life

The hawari of Cairo - narrow non-straight alleyways - are the basic urban units that have formed the medieval city since its foundation back in 969 AD. Until early in the C20th, they made up the primary urban divisions of the city and were residential in nature. Contemporary hawari, by contrast, are increasingly dominated by commercial and industrial activity. This medieval urban maze of extremely short, broken, zigzag streets and dead ends are defensible territories, powerful institutions, and important social systems. While the hawari have been studied as an exemplar for urban structure of medieval Islamic urbanism, and as individual building typologies, this book is the first to examine in detail the socio-spatial practice of the architecture of home in the city. It investigates how people live, communicate and relate to each other within their houses or shared spaces of the alleys, and in doing so, to uncover several new socio-spatial dimensions and meanings in this architectural form.

In an attempt to re-establish the link between architecture past and present, and to understand the changing social needs of communities, this book uncovers the notion of home as central to understand architecture in such a city with long history as Cairo. It firstly describes the historical development of the domestic spaces (indoor and outdoor), and provides an inclusive analysis of spaces of everyday activities in the hawari of old Cairo. It then broadens its analysis to other parts of the city, highlighting different customs and representations of home in the city at large. Cairo, in the context of this book, is represented as the most sophisticated urban centre in the Middle East with different and sometimes contrasting approaches to the architecture of home, as a practice and spatial system.

In order to analyse the complexity and interconnectedness of the components and elements of the hawari as a 'collective home', it layers its narratives of architectural and social developments as a domestic environment over the past two hundred years, and in doing so, explores the in-depth social meaning and performance of spaces, both private and public.

ArchiBabel: Tracing the Writing Architecture Project in Architectural Education

Though much recent scholarship has investigated the potential of writing in creative practice (including visual arts, drama, even choreography), there are few models in the literature which discuss writing in the context of architectural education. The paper presented here aims to address this dearth of pedagogical research, analysing the cross-disciplinary Writing Architecture Project based in the undergraduate course of the School of Architecture at QUB. Over the course of four years, teaching staff, in partnership with the university's Learning Development Service, technicians and specialist librarians, have addressed an unfortunately persistent struggle for both architecture students and professionals alike to research and construct argument in written form. The paper examines the current problem as identified in the literature before analysing the efficacy of the variety of teaching methods used in the Writing Architecture Project, with conclusions about the project’s success and continuing challenges.

An efficient particle filter for color-based tracking in complex scenes

In this paper, we introduce an efficient method for particle selection in tracking objects in complex scenes. Firstly, we improve the proposal distribution function of the tracking algorithm, including current observation, reducing the cost of evaluating particles with a very low likelihood. In addition, we use a partitioned sampling approach to decompose the dynamic state in several stages. It enables to deal with high-dimensional states without an excessive computational cost. To represent the color distribution, the appearance of the tracked object is modelled by sampled pixels. Based on this representation, the probability of any observation is estimated using non-parametric techniques in color space. As a result, we obtain a Probability color Density Image (PDI) where each pixel points its membership to the target color model. In this way, the evaluation of all particles is accelerated by computing the likelihood p(z|x) using the Integral Image of the PDI.