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The von Neumann architecture was first expressed in 1945 and has largely dominated in many variants and refinements computer science for more than half a century. Alternative architectures always occupied a marginal place only, despite a growing need for n ...
Cavitation tests using models are essential to determine the full-scale machine cavitation behaviour. As erosion prediction is still very empirical, in practice a "safe" machine shows no visible cavitation on a model at sigma plant. However, this way of de ...
International Association For Hydraulic Research1990
Binary logic gates are building blocks of computing machines, in particular, electronic computers. One variant is the programable logic gate, also known as the reconfigurable logic gate, in which the logical function implemented can be modified. In this pa ...
Current online applications, such as search engines, social networks, or file sharing services, execute across a distributed network of machines. They provide non-stop services to their users despite failures in the underlying network. To achieve such a hi ...
Binary logic operations are the building blocks of computing machines. In this paper, we present a new programmable binary logic gate based on programmable multistable mechanisms (PMM), which are multistable structures whose stability behavior depends on m ...
Ensuring correct network behavior is hard. This is the case even for simple networks, and adding middleboxes only complicates this task. In this paper, we demonstrate a fundamental property of networks. Namely, we show a way of using a network to emulate t ...
Comparison between different formalisms and models is often by flattening structure and reducing them to behaviourally equivalent models e.g. automaton and Turing machine. This leads to a notion of expressiveness which is not adequate for component-based s ...
A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real time. We propose a new computationa ...