Building Bangalore

Examining spatial transformations in Bangalore, one of India's fastest growing cities, this book highlights the influence of information and communications technology (ICT) development on the city. Focusing on the production of urban space and the processes that inform such production, the author proposes that Silicon Valley, California has become a globalized model for the production of ICT urban development. The book presents a history of Bangalore's urban development and the emergence of the ICT industry there. Using this historical analysis and the geography of ICT development, the author identifies several case study areas where ICT development is transforming the built environment. Building on this analysis, the author goes on to suggest that the development in Bangalore over the last 20 years represents a type of informational cascade, and that the case studies illustrate that local information alters the course of ICT development and has the potential to overturn this cascade. This in turn could lead to a more sustainable urban future, one that profits from the city's regional advantages. The transformations taking place in Bangalore are occurring in many cities that are competing in the new informational economy. This book makes an important contribution to studies on South Asia as well as Architecture and Urban Studies.

Examining spatial transformations in Bangalore, one of India's fastest growing cities, this book highlights the influence of information and communications technology (ICT) development on the city. Focusing on the production of urban space and the processes that inform such production, the author proposes that Silicon Valley, California has become a globalized model for the production of ICT urban development. The book presents a history of Bangalore's urban development and the emergence of the ICT industry there. Using this historical analysis and the geography of ICT development, the author identifies several case study areas where ICT development is transforming the built environment. Building on this analysis, the author goes on to suggest that the development in Bangalore over the last 20 years represents a type of informational cascade, and that the case studies illustrate that local information alters the course of ICT development and has the potential to overturn this cascade. This in turn could lead to a more sustainable urban future, one that profits from the city's regional advantages. The transformations taking place in Bangalore are occurring in many cities that are competing in the new informational economy. This book makes an important contribution to studies on South Asia as well as Architecture and Urban Studies.

Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others. Features Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning Discusses in detail the application of machine learning techniques in geospatial building feature extraction Explains the methods for estimating object height from optical satellite remote sensing images using Python Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment Highlights the potential of machine learning and geospatial technology for future project developments This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.

This book presents selected proceedings of the 8th International and 29th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2021). It covers the recent developments in the areas of metal forming and machining techniques, incremental forming, microforming, nesting algorithms, process simulation, parameter analysis, tools and tooling, tool wear, condition monitoring, cyber physical systems, robotics, machine vision, intelligent manufacturing, enterprise manufacturing intelligence, etc. The contents of this book will be useful for students, researchers as well as industry professionals in the various fields of mechanical engineering.

Includes a free CD containing the full contents of the book. The rammed earth technique, in all its variants, is widespread all over the world. This enormously prevalent building technique harbours an important richness of varieties both in application and in materials used. Interventions on historical rammed earth buildings have also been carried out in all the geographical areas where these structures are found. This historical heritage has undergone diverse forms of reconstruction, conservation, repair, substitution and/or structural consolidation. The different criteria applied require different techniques, materials or forms of intervention. The results of the interventions have also been manifold, both in terms of the impact on the building and the technical and material durability. With a view to these issues, this book deals with rammed earth architecture and its restoration, and, in a more general sense, with the construction techniques and restoration of all earthen structures. Rammed Earth Conservation will be a valuable source of information for academics and professionals in the fields of Civil Engineering, Construction and Building Engineering and Architecture.