The Programmable City

AbstractThe worldwide proliferation of mobile connected devices has brought about a revolution in the way we live, and will inevitably guide the way in which we design the cities of the future. However, designing city-wide systems poses a new set of challenges in terms of scale, manageability and citizen involvement. Solving these challenges is crucial to making sure that the vision of a programmable Internet of Things (IoT) becomes reality. In this article we will analyse these issues and present a novel programming approach to designing scalable systems for the Internet of Things, with an emphasis on smart city applications, that addresses these issues

The Programmable City

AbstractThe worldwide proliferation of mobile connected devices has brought about a revolution in the way we live, and will inevitably guide the way in which we design the cities of the future. However, designing city-wide systems poses a new set of challenges in terms of scale, manageability and citizen involvement. Solving these challenges is crucial to making sure that the vision of a programmable Internet of Things (IoT) becomes reality. In this article we will analyse these issues and present a novel programming approach to designing scalable systems for the Internet of Things, with an emphasis on smart city applications, that addresses these issues

The programmable city

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The programmable city

Abstract included in text

The programmable city

Abstract included in text

The programmable city

Abstract included in text

Smart schools in sentient cities

What makes a city “smart?” And, in a “smart city,” what makes a “smart school?” Designers, researchers and commercial technology companies are increasingly concerned with the development of "smarter cities," "programmable cities" and "sentient cities"that are augmented with big data, sensor networks, and other computationally programmable processes and software-supported practices. The smart city is an urban environment with a computational "nervous system." It appears to have some form of awareness, intelligence, and thoughtfulness, along with some ability to learn and to transform itself. In many smart city programs, themes such as "smarter education"are emerging as important points of focus for various kinds of imaginings and product developments. It is surprising, then, that educational research has, to date, said very little about such data-intensive, spatially sentient and programmable cities. This leaves a lot of questions to be addressed. What kind of educational future are we facing in sentient cities that are already becoming automated, plastered in data and augmented with context-aware devices offering mediated sensory experiences; in which billions of objects and machines can interrelate with one another via the Internet of Things; and in which the urban environment itself is able to track, trace and even "think of us?" What does it mean for people to learn in a city that can learn

An Approach to Using Non Safety-Assured Programmable Components in Modest Integrity Systems

Programmable components (like personal computers or smart devices) can offer considerable benefits in terms of usability and functionality in a safety-related system. However there is a problem in justifying the use of programmable components if the components have not been safety justified to an appropriate integrity (e.g. to SIL 1 of IEC 61508). This paper outlines an approach (called LowSIL) developed in the UK CINIF nuclear industry research programme to justify the use of non safety-assured programmable components in modest integrity systems. This is a seven step approach that can be applied to new systems from an early design stage, or retrospectively to existing systems. The stages comprise: system characterisation, component suitability assessment, failure analysis, failure mitigation, identification of additional defences, identification of safety evidence requirements, and collation and evaluation of evidence. In the case of personal computers, there is supporting guidance on usage constraints, claim limits on reliability, and advice on “locking down” the component to maximise reliability. The approach is demonstrated for an example system. The approach has been applied successfully to a range of safety-related systems used in the nuclear industry

Evolution towards Smart Optical Networking: Where Artificial Intelligence (AI) meets the World of Photonics

Smart optical networks are the next evolution of programmable networking and programmable automation of optical networks, with human-in-the-loop network control and management. The paper discusses this evolution and the role of Artificial Intelligence (AI)