59,578 research outputs found
Big data analytics:Computational intelligence techniques and application areas
Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment
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Towards a conceptualization of casual protest participation: Parsing a case from the Save Roşia Montană campaign
There is currently an empirical gap in the literature on protest participation in liberal democracies which has overwhelmingly focused on Western Europe and North America at the expense of Eastern Europe. To contribute to closing that gap, this article reviews findings from a multi-method field study conducted at FânFest, the environmental protest festival designed to boost participation in Save Roşia Montană, the most prominent environmental campaign in Romania. By contrast to its Western counterparts, Romania has seen markedly lower levels of involvement in voluntary organizations that are a key setting for mobilization into collective action. Concurrently, experience with participation in physical protests is limited amongst Romanians. Specifically, the article probes recent indications that social network sites provide new impetus to protest participation as an instrumental means of mobilization. Dwelling on a distinction between experienced and newcomers to protest, results indicate that social network site usage may make possible the casual participation of individuals with prior protest experience who are not activists in a voluntary organization. Whilst this finding may signal a new participatory mode hinging on digitally networked communication which is beginning to be theorized, it confounds expectations pertaining to a net contribution of social network site usage to the participation of newcomers to protest
Context Aware Computing for The Internet of Things: A Survey
As we are moving towards the Internet of Things (IoT), the number of sensors
deployed around the world is growing at a rapid pace. Market research has shown
a significant growth of sensor deployments over the past decade and has
predicted a significant increment of the growth rate in the future. These
sensors continuously generate enormous amounts of data. However, in order to
add value to raw sensor data we need to understand it. Collection, modelling,
reasoning, and distribution of context in relation to sensor data plays
critical role in this challenge. Context-aware computing has proven to be
successful in understanding sensor data. In this paper, we survey context
awareness from an IoT perspective. We present the necessary background by
introducing the IoT paradigm and context-aware fundamentals at the beginning.
Then we provide an in-depth analysis of context life cycle. We evaluate a
subset of projects (50) which represent the majority of research and commercial
solutions proposed in the field of context-aware computing conducted over the
last decade (2001-2011) based on our own taxonomy. Finally, based on our
evaluation, we highlight the lessons to be learnt from the past and some
possible directions for future research. The survey addresses a broad range of
techniques, methods, models, functionalities, systems, applications, and
middleware solutions related to context awareness and IoT. Our goal is not only
to analyse, compare and consolidate past research work but also to appreciate
their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201
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