The Experts below are selected from a list of 133494 Experts worldwide ranked by ideXlab platform
Andreas Engel - One of the best experts on this subject based on the ideXlab platform.
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Detection Mechanism of superconducting nanowire single-photon detectors
Superconductor Science and Technology, 2015Co-Authors: Andreas Engel, Jelmer J. Renema, Konstantin Ilin, Alexei SemenovAbstract:In this paper we intend to give a comprehensive description of the current understanding of the Detection Mechanism in superconducting nanowire single-photon detectors. We will review key experimental results related to the Detection Mechanism, e.g. the variations of the Detection probability as a function of bias current, temperature or magnetic field. Commonly used Detection models will be introduced and we will analyze their predictions in view of the experimental observations. Although none of the proposed Detection models is able to describe all experimental data, it is becoming increasingly clear that vortices are essential for the formation of the initial normal-conducting domain that triggers a Detection event.
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Detection Mechanism in snspd numerical results of a conceptually simple yet powerful Detection model
arXiv: Superconductivity, 2014Co-Authors: Andreas Engel, Julia Lonsky, Xiaofu Zhang, A SchillingAbstract:In a recent publication we have proposed a numerical model that describes the Detection process of optical photons in superconducting nanowire single-photon detectors (SNSPD). Here, we review this model and present a significant improvement that allows us to calculate more accurate current distributions for the inhomogeneous quasi-particle densities occurring after photon absorption. With this new algorithm we explore the detector response in standard NbN SNSPD for photons absorbed off-center and for 2-photon processes. We also discuss the outstanding performance of SNSPD based on WSi. Our numerical results indicate a different Detection Mechanism in WSi than in NbN or similar materials.
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Numerical analysis of Detection-Mechanism models of superconducting nanowire single-photon detector
Journal of Applied Physics, 2013Co-Authors: Andreas Engel, Andreas SchillingAbstract:The microscopic Mechanism of photon Detection in superconducting nanowire single-photon detectors is still under debate. We present a simple but powerful theoretical model that allows us to identify essential differences between competing Detection Mechanisms. The model is based on quasi-particle multiplication and diffusion after the absorption of a photon. We then use the calculated spatial and temporal evolution of this quasi-particle cloud to determine Detection criteria of three distinct Detection Mechanisms, based on the formation of a normal conducting spot, the reduction of the effective depairing critical current below the bias current, and a vortex-crossing scenario, respectively. All our calculations as well as a comparison to experimental data strongly support the vortex-crossing Detection Mechanism by which vortices and antivortices enter the superconducting strip from the edges and subsequently traverse it thereby triggering the detectable normal conducting domain. These results may therefore help to reveal the microscopic Mechanism responsible for the Detection of photons in superconducting nanowires.
Alexei Semenov - One of the best experts on this subject based on the ideXlab platform.
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Detection Mechanism of superconducting nanowire single-photon detectors
Superconductor Science and Technology, 2015Co-Authors: Andreas Engel, Jelmer J. Renema, Konstantin Ilin, Alexei SemenovAbstract:In this paper we intend to give a comprehensive description of the current understanding of the Detection Mechanism in superconducting nanowire single-photon detectors. We will review key experimental results related to the Detection Mechanism, e.g. the variations of the Detection probability as a function of bias current, temperature or magnetic field. Commonly used Detection models will be introduced and we will analyze their predictions in view of the experimental observations. Although none of the proposed Detection models is able to describe all experimental data, it is becoming increasingly clear that vortices are essential for the formation of the initial normal-conducting domain that triggers a Detection event.
Andreas Schilling - One of the best experts on this subject based on the ideXlab platform.
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Numerical analysis of Detection-Mechanism models of superconducting nanowire single-photon detector
Journal of Applied Physics, 2013Co-Authors: Andreas Engel, Andreas SchillingAbstract:The microscopic Mechanism of photon Detection in superconducting nanowire single-photon detectors is still under debate. We present a simple but powerful theoretical model that allows us to identify essential differences between competing Detection Mechanisms. The model is based on quasi-particle multiplication and diffusion after the absorption of a photon. We then use the calculated spatial and temporal evolution of this quasi-particle cloud to determine Detection criteria of three distinct Detection Mechanisms, based on the formation of a normal conducting spot, the reduction of the effective depairing critical current below the bias current, and a vortex-crossing scenario, respectively. All our calculations as well as a comparison to experimental data strongly support the vortex-crossing Detection Mechanism by which vortices and antivortices enter the superconducting strip from the edges and subsequently traverse it thereby triggering the detectable normal conducting domain. These results may therefore help to reveal the microscopic Mechanism responsible for the Detection of photons in superconducting nanowires.
Markus Rupp - One of the best experts on this subject based on the ideXlab platform.
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performance of watermarking as an error Detection Mechanism for corrupted h 264 avc video sequences
European Signal Processing Conference, 2009Co-Authors: Eva Rodriguez Rodriguez, Luca Superiori, Olivia Nemethova, Markus RuppAbstract:In this work we investigate the performance of watermarking as an error Detection method for H.264/AVC encoded videos. The efficiency of a previously proposed forced even watermarking is evaluated in a more realistic error-prone transmission scenario. A less invasive watermarking scheme, the force odd watermarking, is proposed as alternative. In order to handle possible decoding desynchronization at the receiver, we implement a syntax check error Detection Mechanism together with watermarking and evaluate its performance.
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EUSIPCO - Performance of watermarking as an error Detection Mechanism for corrupted H.264/AVC video sequences
2009Co-Authors: Eva Rodriguez Rodriguez, Luca Superiori, Olivia Nemethova, Markus RuppAbstract:In this work we investigate the performance of watermarking as an error Detection method for H.264/AVC encoded videos. The efficiency of a previously proposed forced even watermarking is evaluated in a more realistic error-prone transmission scenario. A less invasive watermarking scheme, the force odd watermarking, is proposed as alternative. In order to handle possible decoding desynchronization at the receiver, we implement a syntax check error Detection Mechanism together with watermarking and evaluate its performance.
Mosa Ali Abu-rgheff - One of the best experts on this subject based on the ideXlab platform.
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An efficient and lightweight intrusion Detection Mechanism for service-oriented vehicular networks
IEEE Internet of Things Journal, 2014Co-Authors: Hichem Sedjelmaci, Sidi Mohammed Senouci, Mosa Ali Abu-rgheffAbstract:Vehicular ad hoc networks (VANETs) are wireless networks that provide high-rate data communication among moving vehicles and between the vehicles and the road-side units. VANETs are considered as the main wireless communication platforms for the intelligent transportation systems (ITS). Service-oriented vehicular networks are special categories for VANETs that support diverse infrastructure-based commercial infotainment services including, for instance, Internet access, real-time traffic monitoring and management, video streaming. Security is a fundamental issue for these service networks due to the relevant business information handled in these networks. In this paper, we design and implement an efficient and light-weight intrusion Detection Mechanism, called efficient and light-weight intrusion Detection Mechanism for vehicular network (ELIDV) that aims to protect the network against three kinds of attacks: denial of service (DoS), integrity target, and false alert's generation. ELIDV is based on a set of rules that detects malicious vehicles promptly and with high accuracy. We present the performance analysis of our Detection Mechanism using NS-3 simulator. Our simulation results show that ELIDV exhibits a high-level security in terms of highly accurate Detection rate (Detection rate more than 97%), low false positive rate (close to 1%), and exhibits a lower overhead compared to contemporary frameworks.
