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Antoni Llopislorente - One of the best experts on this subject based on the ideXlab platform.

  • interactive Models of Communication at the nanoscale using nanoparticles that talk to one another
    Nature Communications, 2017
    Co-Authors: Antoni Llopislorente, Paula Diez, Alfredo Sanchez, Maria D Marcos, Felix Sancenon, Paloma Martinezruiz, Reynaldo Villalonga
    Abstract:

    ‘Communication’ between abiotic nanoscale chemical systems is an almost-unexplored field with enormous potential. Here we show the design and preparation of a chemical Communication system based on enzyme-powered Janus nanoparticles, which mimics an interactive Model of Communication. Cargo delivery from one nanoparticle is governed by the biunivocal Communication with another nanoparticle, which involves two enzymatic processes and the interchange of chemical messengers. The conceptual idea of establishing Communication between nanodevices opens the opportunity to develop complex nanoscale systems capable of sharing information and cooperating. In the interactive Model of Communication, information is exchanged bidirectionally between a sender and receiver. Here, the authors realise interactive Communication between two artificial nanoparticles, which relay information between each other in the form of chemical messengers and enzymatic reactions.

Abhishek Jain - One of the best experts on this subject based on the ideXlab platform.

Richard C Hendriks - One of the best experts on this subject based on the ideXlab platform.

  • a simple Model of speech Communication and its application to intelligibility enhancement
    IEEE Signal Processing Letters, 2015
    Co-Authors: Bastiaan W Kleijn, Richard C Hendriks
    Abstract:

    We introduce a Model of Communication that includes noise inherent in the message production process as well as noise inherent in the message interpretation process. The production and interpretation noise processes have a fixed signal-to-noise ratio. The resulting system is a simple but effective Model of human Communication. The Model naturally leads to a method to enhance the intelligibility of speech rendered in a noisy environment. State-of-the-art experimental results confirm the practical value of the Model.

Matthew W Seeger - One of the best experts on this subject based on the ideXlab platform.

  • crisis and emergency risk Communication as an integrative Model
    Journal of Health Communication, 2005
    Co-Authors: Barbara Reynolds, Matthew W Seeger
    Abstract:

    This article describes a Model of Communication known as crisis and emergency risk Communication (CERC). The Model is outlined as a merger of many traditional notions of health and risk Communication with work in crisis and disaster Communication. The specific kinds of Communication activities that should be called for at various stages of disaster or crisis development are outlined. Although crises are by definition uncertain, equivocal, and often chaotic situations, the CERC Model is presented as a tool health communicators can use to help manage these complex events.

Richard Shore - One of the best experts on this subject based on the ideXlab platform.

  • B - Abstract State Machines: Designing Distributed Systems with State Machines and B
    Lecture Notes in Computer Science, 1998
    Co-Authors: Bill Stoddart, Steve Dunne, Andy Galloway, Richard Shore
    Abstract:

    We outline a theory of communicating “Abstract State Machines”. The state of an Abstract State Machine has two components: a behavioural state and a data state. The behavioural states are shown on a state diagram, whose transitions are labelled with an “event” and a B operation. The firing of a transition is synonymous with the occurrence of its associated event. We use a synchronous Model of Communication based on shared events which simultaneously change the state of each participating machine. The B operation associated with a transition generally has the form G ⟹ S, where a necessary condition for the transition to fire is that G is true, and where S describes any resulting changes in the data state of the Abstract Machine. The paper includes simple examples, the translation of Abstract State Machines to B Action Systems, the translation of Abstract State Machines into “primitive” Abstract State Machines which have only behavioural state, the parallel combination of high level Abstract State Machines, and short notes on choice and refinement.