Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The vulnerability of a network may suffer tremendous economic losses. From the perspective of network nodes, network security depends not only on the behavior of a node but also on that of its neighbours. We propose a non-cooperative networking vaccination game with economic incentive mechanism under a susceptible-infected-susceptible (SIS) epidemic process. In the game each node individually decides...
One of the most central problems in viral marketing is Influence Maximization (IM), which finds a set of k seed users who can influence the maximum number of users in online social networks. Unfortunately, all existing algorithms to IM, including the state of the art SSA and IMM, have an approximation ratio of (1 − 1/e − ε). Recently, a generalization of IM, Cost-aware Target Viral Marketing (CTVM),...
This paper presents a self-triggered model predictive control (MPC) algorithm for constrained linear discrete-time systems in the presence of bounded state and output disturbances, when only the system output can be measured at triggering instants. The proposed algorithm mainly relies on a state estimator whose estimation error is bounded by an invariant set, and on the self-triggered robust model...
The Lamb wave approach in Structural Health Monitoring (SHM) mainly cares the defects detection. It relies on the analysis of signals for physical propagation. In this paper, a sparse representation approach for modeling the signal scattering in discretized monitoring area is proposed. The overcomplete dictionary can be determined explicitly by the Lamb wave propagation theory with columns reflecting...
The spinning target detection technology using the OAM-based radar is studied, in this paper. The detection model of the rotational Doppler frequency is established firstly and an effective target detection method is proposed. Subsequently, a proof-of-concept experiment is carried out to validate the effectiveness of the detection technique. Results demonstrate that the OAM beams can be readily exploited...
High resolution range profile (HRRP) recognition is a widely used technique in the radar automatic target recognition community. However, the recognition performance often suffers from aspect sensitivity and the unsuitable features designed in practical applications. Aiming at dealing with these problems, we propose a new type of stochastic neural network model named Infinite Classification Restricted...
The recognition and classification of the remote sensing image is a key technology in the application of remote sensing image, which has been one of the research hotspots. Extreme learning machine (EML), is a kind of machine learning method, which has advantages of fast learning speed and good generalization capability, and has been getting more and more attention from the researchers. Based on the...
Mobile applications have gained rising popularity due to the advantages in mobile technologies. Furthermore, the appearance of tablets and mobile devices with other forms has increased the diversity of apps. These phenomena have resulted in a growing need of app developers to understand usage behaviors of mobile apps. Previous studies in this area mostly rely on instrumented devices so that the scope...
We demonstrate a novel distributed optical fiber sensor system based on phase-sensitive optical time-domain reflectometry (Φ-OTDR). Both the phase and the amplitude of the Rayleigh scattering (RS) light can be demodulated based on I/Q demodulation and heterodyne detection using commercial available 100G integrated coherent receiver (ICR). The polarization fading problem in Φ-OTDR can be avoided by...
Traditional task-based fMRI activation detection methods, such as the general linear model (GLM), assume that the fMRI signals of activated brain regions follow the external stimulus paradigm. Typically, these activated regions are detected independently in a voxel-wise fashion, and the interaction among voxels is nevertheless neglected. Despite the wide use and remarkable success of GLM, the temporal...
Functional network analysis based on matrix decomposition/factorization methods including ICA and dictionary learning models have become a popular approach in fMRI study. Yet it is still a challenging issue in interpreting the result networks because of the inter-subject variability and image noises, thus in many cases, manual inspection on the obtained networks is needed. Aiming to provide a fast...
The smartphone applications have taken place of the web browser and became the user's primary internet entrance. One application's popularity can be measured by its downloading times, and it is valuable for commercial advertising. Identifying app installation packages from network traffic is one of the most feasible approaches to collect these data. But asymmetric routing, incomplete capture and so...
In this paper, a MV derivation method based on the idea of frame rate up-conversion (FRUC) is proposed. When a block is signaled as FRUC mode, the motion information of the block is derived without signaling. Moreover, derived MVs are refined at sub-block level for more accurate motion field. In addition, two matching methods, i.e., bilateral matching and template matching are supported to obtain...
Based on the superiority of wavelet transform about frequency band division and the detection ability of wavelet entropy in disturbance signal and zero sequence voltage, this paper put forwards an algorithm that identifies fault type effectively and quickly by analyzing the relationship between standard deviation of wavelet singular entropy and wavelet energy entropy before the fault a period and...
The Molecular Analyzer for Complex Refractory Organic-rich Surfaces, MACROS, is a novel instrument package being developed at NASA Goddard Space Flight Center. MACROS enables the in situ characterization of a sample's composition by coupling two powerful techniques into one compact instrument package: (1) laser desorption/ionization time-of-flight mass spectrometry (LDMS) for broad detection of inorganic...
This paper considers the blind estimation of the carrier frequency offset (CFO) and sample frequency offset (SFO) in orthogonal frequency division multiplexing (OFDM) system. Conventional methods require periodically transmitted pilot tones in frequency domain or identical training symbols in preamble. To achieve a blind estimation scheme, a joint maximum-likelihood (ML) estimator is proposed by applying...
In this paper, a Stackelberg game based power control framework is proposed for interference coordination among device-to-device (D2D) communications and spectrum-sharing cellular networks. The cross-tier interference from D2D communications is controlled by the cellular base station (CBS) through setting a price for the shared subchannels. Based on the cross-tier interference price, each D2D pair...
We demonstrate that the relevance between the linear and the nonlinear optical response of a gold nanorod assembly can be shaped by plasmonic coupling. The strongly localized modes induced by random coupling play a crucial role in determining the optical absorption of the plasmonic systems.
In this paper, we define a new index of dynamic manipulability for humanoid biped walking to measure dynamic flexibility of changing mechanics by using residual redundancy, when primary work is being assigned, such as face and eyes being targeted to certain object. Although some measurements have been arranged so far to evaluate statical or dynamical flexibility of hand manipulator. This paper displays...
An efficient algorithm for overcomplete dictionary learning with lp-norm as sparsity constraint to achieve sparse representation from a set of known signals is presented in this paper. The special importance of the ¿p-norm (0 < ρ < 1) has been recognized in recent studies on sparse modeling, which can lead a stronger sparsity-promoting solutions than the l1-norm. The lp-norm, however, leads...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.