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Controling decoherence is one of the key problems for making quantum information processing and quantum computation work. From the outset, when Peter Shor announced his algorithm [20], [21], many physicists felt that somewhere there would be a price to pay for the miraculous exponential speedup. For example, if the algorithm would require exponentially good adherence to specifications for the quantum...
Quantum information and quantum computers have received a lot of public attention recently. Quantum computers have been advertised as a kind of warp drive for computing, and indeed the promise of the algorithms of Shor and Grover is to perform computations which are extremely hard or even provably impossible on any merely “classical” computer. On the experimental side, perhaps the most remarkable...
A next generation material for Si surface passivation is atomic layer deposited (ALD) Al2O3. However, conventional time-resolved ALD is limited by its low deposition rate. Initially, a high-deposition-rate prototype ALD reactor based on the spatially-separated ALD principle has been developed, with Al2O3 deposition rates up to 1.2 nm/s. Later, the spatial ALD technique has been transferred to an actual...
The Online Financial Transaction (OFT) services landscape has grown with the widespread commoditization of e-commerce. Though developed for legitimate commercial means, new technologies have created many ways to anonymously transfer funds over communication networks. Law enforcement agencies now face a unique and nearly insurmountable problem: cybercriminals are able to anonymously exchange financial...
We present a method for topological SLAM that specifically targets loop closing for edge-ordered graphs. Instead of using a heuristic approach to accept or reject loop closing, we propose a probabilistically grounded multi-hypothesis technique that relies on the incremental construction of a map/state hypothesis tree. Loop closing is introduced automatically within the tree expansion, and likely hypotheses...
Perceptual aliasing makes topological navigation a difficult task. In this paper we present a general approach for topological SLAM (simultaneous localisation and mapping) which does not require motion or odometry information but only a sequence of noisy measurements from visited places. We propose a particle filtering technique for topological SLAM which relies on a method for disambiguating places...
We consider the problem of authenticated query dissemination in sensor networks, where each sensor node should be able to decide whether the query was injected into the network by a legitimate entity (e.g., the base station), or by an adversary that tries to gain unauthorized access to the sensor data. We present sAQF, an improved variant of the AQF protocol by Benenson et al. and verify its correctness...
In this paper we present a system for appearance-based topological mapping and localisation using vision data. The algorithms are designed for robots which are equipped with FPGA cameras. Such cameras do not provide the entire image to the robot but simple image features like colour histograms.
In this paper we address the problem of topologically mapping environments which contain inherent perceptual aliasing caused by repeated environment structures. We propose an approach that does not use motion or odometric information but only a sequence of deterministic measurements observed by traversing an environment. Our algorithm implements a stochastic local search to build a small map which...
This paper addresses the problem of estimating proximity to a gas source using concentration measurements. In particular, we consider the problem of gas source declaration by a mobile robot equipped with metal oxide sensors in a turbulent indoor environment. While previous work has shown that machine learning classifiers can be trained to detect close proximity to a gas source, it is difficult to...
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