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We construct a model of innovation diffusion that incorporates a spatial component into a classical imitation-innovation dynamics first introduced by F. Bass. Relevant for situations where the imitation process explicitly depends on the spatial proximity b ...
We propose a diffusion strategy to enable social learning over networks. Individual agents observe signals influenced by the state of the environment. The individual measurements are not sufficient to enable the agents to detect the true state of the envir ...
Exploiting recent progress [1]-[4] in the characterization of the detection performance of diffusion strategies over adaptive multi-agent networks: i) we present two theoretical approximations, one based on asymptotic normality and the other based on the t ...
This article is an empirical evaluation of the effects of a public environmental subsidy for technology adoption on environmental adoption (direct effect) and R&D investment (indirect effect), in a sample of Dutch non-service private companies over the 200 ...
This thesis investigates the impact of digital technology on the methods of design and production in architecture. Through research of history, theory, technology, and methods, the work determines whether the current use of new technologies should be consi ...
The key factor in widespread adoption of Radio Frequency Identification (RFID) technology is tag cost minimization. This paper presents the first low-cost, ultra-low power, passive RFID tag, fully integrated on a single substrate in a standard CMOS process ...
Institute of Electrical and Electronics Engineers2014
This paper presents the development of a platform for studying, designing and optimizing complex integrated energy systems. Technology models representing the physical behavior are separated from thermo-economic analysis and multi-objective optimization in ...
We construct a model of innovation diffusion that incorporates a spatial component into a classical imitation-innovation dynamics first introduced by F. Bass. Relevant for situations where the imitation process explicitly depends on the spatial proximity b ...
We study the problem of distributed detection, where a set of nodes is required to decide between two hypotheses based on available measurements. We seek fully distributed and adaptive implementations, where all nodes make individual real-time decisions by ...
We consider solving multi-objective optimization problems in a distributed manner over a network of nodes. The problem is equivalent to optimizing a global cost that is the sum of individual components. Diffusion adaptation enables the nodes to cooperate l ...
