Period-doubling bifurcation of dissipative-soliton-resonance pulses in a passively mode-locked fiber laser. (arXiv:1911.07026v1 [physics.optics])

We report on the experimental observation of period-doubling bifurcation of dissipative-soliton-resonance (DSR) pulses in a fiber laser passively mode-locked by using the nonlinear optical loop mirror. Increasing the pump power of the fiber laser, we show that temporally a stable, uniform DSR pulse train could be transformed into a period-doubling state, exhibiting two sets of…

Emergence of Self-Sustained Oscillations for SIRS Model on Random Networks. (arXiv:1911.07031v1 [physics.soc-ph])

We study the phase transition from the persistence phase to the extinction phase for the SIRS (susceptible/ infected/ refractory/ susceptible) model of diseases spreading on random networks. By studying temporal evolution and synchronization parameter of this model on random networks, we find that, this model on random networks, shows a synchronization phase in a narrow…

Critical Threshold For SIRS Model on Small World Networks. (arXiv:1911.07035v1 [physics.soc-ph])

We study the phase transition from the persistence phase to the extinction phase for the SIRS (susceptible/ infected/ refractory/ susceptible) model of diseases spreading on small world network. We show the effects of all the parameters associated with this model on small world network and we create the full phase space. The results we obtained…

Quantum Enhanced Imaging of Non-Uniform Refractive Profiles. (arXiv:1911.07039v1 [physics.optics])

In this work quantum metrology techniques are applied to the imaging of objects with a non-uniform refractive spatial profile. A sensible improvement on the classical accuracy is shown to be found when the “Twin Beam State” (TWB) is used. In particular exploiting the multimode spatial correlation, naturally produced in the Parametric Down Conversion (PDC) process,…

Photonic-chip assisted correlative light and electron microscopy. (arXiv:1911.07055v1 [physics.optics])

Correlative light-electron microscopy (CLEM) unifies the versatility of light microscopy (LM) with the high resolution of electron microscopy (EM), allowing one to zoom into the complex organization of cells. Most CLEM techniques use ultrathin sections, and thus lack the 3D-EM structural information, and focusing on a very restricted field of view. Here, we introduce photonic…

Wave maps and constant curvature surfaces: singularities and bifurcations. (arXiv:1911.06856v1 [math.DG])

Wave maps (or Lorentzian-harmonic maps) from a $1+1$-dimensional Lorentz space into the $2$-sphere are associated to constant negative Gaussian curvature surfaces in Euclidean 3-space via the Gauss map, which is harmonic with respect to the metric induced by the second fundamental form. We give a method for constructing germs of Lorentzian-harmonic maps from their $k$-jets…

Handwritten and Machine printed OCR for Geez Numbers Using Artificial Neural Network. (arXiv:1911.06845v1 [cs.CV])

Researches have been done on Ethiopic scripts. However studies excluded the Geez numbers from the studies because of different reasons. This paper presents offline handwritten and machine printed Geez number recognition using feed forward back propagation artificial neural network. On this study, different Geez image characters were collected from google image search and three persons…

A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark. (arXiv:1911.06847v1 [eess.SY])

Nonlinear system identification is important with a wide range of applications. The typical approaches for nonlinear system identification include Volterra series models, nonlinear autoregressive with exogenous inputs models, block-structured models, state-space models and neural network models. Among them, neural networks (NN) is an important black-box method thanks to its universal approximation capability and less dependency…

Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding. (arXiv:1911.06858v1 [eess.SP])

Orbital angular momentum (OAM)-encoding has recently emerged as an effective approach for increasing the channel capacity of free-space optical communications. In this paper, OAM-based decoding is formulated as a supervised classification problem. To maintain lower error rate in presence of severe atmospheric turbulence, a new approach that combines effective machine learning tools from persistent homology…

Assigning Medical Codes at the Encounter Level by Paying Attention to Documents. (arXiv:1911.06848v1 [cs.CL])

The vast majority of research in computer assisted medical coding focuses on coding at the document level, but a substantial proportion of medical coding in the real world involves coding at the level of clinical encounters, each of which is typically represented by a potentially large set of documents. We introduce encounter-level document attention networks,…