Without actively aligning the reference frames, the reference-frame-independent quantum key distribution (RFI-QKD) can generate secure keys even when the reference frames drift slowly. Here, we propose a new scheme on...
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This paper sums up four security factors after analyzing co-residency threats caused by the special multitenant environment in the *** secure the factors,a multiway dynamic trust chain transfer model was proposed on t...
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This paper sums up four security factors after analyzing co-residency threats caused by the special multitenant environment in the *** secure the factors,a multiway dynamic trust chain transfer model was proposed on the basis of a measurement interactive virtual machine and current behavior to protect the integrity of the system.A trust chain construction module is designed in a virtual machine *** dynamic monitoring,it achieves the purpose of transferring integrity between virtual machine.A cloud system with a trust authentication function is implemented on the basis of the model,and its practicability is shown.
In order to improve the inversion precision ot aerosol mass concentrations based on the particle group light scattering method,the concept that particles through a laser beam are equivalent to an aggregate is proposed...
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In order to improve the inversion precision ot aerosol mass concentrations based on the particle group light scattering method,the concept that particles through a laser beam are equivalent to an aggregate is proposed.A fractal model for aerosol mass concentration using the signal amplitude distribution of aggregates is presented,and then the subsection calibration method is *** experimental results show that the mass concentrations in versed by this model agree well with those measured by the norm-referenced *** average relative errors of the two experiments are 5.6%and 6.0%,respectively,which are less than those obtained by the conventional inversion model.
We introduce the concept of tunable ideal magnetic dipole scattering, where a nonmagnetic nanoparticle scatters lights as a pure magnetic dipole. High refractive index subwavelength nanoparticles usually support both ...
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Seismic inverse problems aim to infer the properties of subsurface geology, such as elastic and petrophysical properties. Existing seismic inversion methods for the joint estimation of these properties are mainly base...
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Among different retinal analysis tasks, blood vessel extraction plays an important role as it is often the first essential step before any measurement can be made for various applications such as biometric authenticat...
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Large-scale service composition has become an important research topic in Service-Oriented Computing(SOC). Quality of Service(Qo S) has been mostly applied to represent nonfunctional properties of web services and...
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Large-scale service composition has become an important research topic in Service-Oriented Computing(SOC). Quality of Service(Qo S) has been mostly applied to represent nonfunctional properties of web services and to differentiate those with the same functionality. Many studies for measuring service composition in terms of Qo S have been completed. Among current popular optimization methods for service composition, the exhaustion method has some disadvantages such as requiring a large number of calculations and poor scalability. Similarly,the traditional evolutionary computation method has defects such as exhibiting slow convergence speed and falling easily into the local optimum. In order to solve these problems, an improved optimization algorithm, WS FOA(Web Service composition based on Fruit Fly Optimization Algorithm) for service composition, was proposed, on the basis of the modeling of service composition and the FOA. Simulated experiments demonstrated that the algorithm is effective, feasible, stable, and possesses good global searching ability.
In the era of big data, data intensive applications have posed new challenges to the field of service composition. How to select the optimal composited service from thousands of functionally equivalent services but di...
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In the era of big data, data intensive applications have posed new challenges to the field of service composition. How to select the optimal composited service from thousands of functionally equivalent services but different Quality of Service(Qo S) attributes has become a hot research in service computing. As a consequence,in this paper, we propose a novel algorithm MR-IDPSO(Map Reduce based on Improved Discrete Particle Swarm Optimization), which makes use of the improved discrete Particle Swarm Optimization(PSO) with the Map Reduce to solve large-scale dynamic service composition. Experiments show that our algorithm outperforms the parallel genetic algorithm in terms of solution quality and is efficient for large-scale dynamic service composition. In addition,the experimental results also demonstrate that the performance of MR-IDPSO becomes more better with increasing number of candidate services.
Distributed passive radar imaging has been an emerging topic in radar imaging society because of its low-cost, increased-survivability and robustness. In the inverse problem of distributed passive imaging, location of...
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Distributed passive radar imaging has been an emerging topic in radar imaging society because of its low-cost, increased-survivability and robustness. In the inverse problem of distributed passive imaging, location of receivers affects imaging quality a lot, while illuminators of opportunity remain to be uncontrollable. Therefore, we investigate the problem of receiver disposition optimization and propose the optimal scheme to locate those receivers by combining genetic algorithm(GA) with compressive sensing(CS) based imaging technique. Simulation results validate the effectiveness of the proposed algorithm.
The incidence of cutaneous malignant melanoma, a disease of worldwide distribution and is the deadliest form of skin cancer, has been rapidly increasing over the last few decades. Because advanced cutaneous melanoma i...
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