Miracle-dz/UniFAR-FTUs huggingface dataset:
An Adaptive Routing Method Based on Fuzzy Logic System in Optical Network-on-Chip (ONoC)

With the development of on-chip optical transmission technology, Optical Network-on-Chip (ONoC) is promising to meet the requirements of high throughput and low latency with low power consumption for the on-chip communication. To communicate from the source to the destination, routing is important which is affected by complicated factors. This work proposes an adaptive routing method based on fuzzy logic system, which comprehensively considers multiple factors to achieve multi-objective optimization and adaptively make routing decisions according to network statement information, without extra training.
A multiscale colloid transport model with anisotropic degenerate diffusion

We consider a weakly coupled semilinear parabolic-hyperbolic system with a degenerate and anisotropic diffusion. It arises to model the evolution of a chemical or biological tracer in a porous medium. We study the well-posed- ness of the system using a L^1 theory. Then, we establish the relaxation limit as the reaction constant becomes large. We prove that the system converges to a nonlinear parabolic-hyperbolic equation that generalizes the Stefan problem. Two specificities of this paper are (i) to deal with ill-prepared initial data and (ii) with unique entropy solutions based on a precise entropy inequality.
Design of EMI Improved Isolated DC/DC Converter for Space-based Applications

For space exploration, for instance by use of Cube-Sats, there is need for small converters which can both operate isolated and non-isolated with a low EMI profile. Incorporating Electromagnetic Compatibility (EMC) within the design stage is therefore crucial, and can be achieved by applying different EMI mitigation techniques from the very start of the design. This paper investigates inherent reduction of EMI via interleaving, balancing, and symmetrically designing a DC/DC converter. Mass and volume restraints are considered as well during the design. It will be shown that these relatively advanced (but matured) design techniques, already well known and utilized on Earth, can be utilized for a novel design for space based applications with beneficial charateristics.
LAMDA Sliding-Mode Control based on Smith Predictor applied to a pH Neutralization Reactor

This document presents a LAMDA Sliding-Mode Control LSMC applied to a pH neutralization reactor with dominant dead time. Due to the non-linearity generated by the dead time, the application of an additional Smith Predictor structure is proposed to improve the system's response when reference changes and disturbances occur around the operating point in which the system works. The controller is validated through different simulations in which it is evident that the proposed approach is stable controlling the pH neutralization reactor.
Comparison of One-Dimensional and Two-Dimensional Reference Signal Representation for Insulation Aging State Recognition

This paper compares the performance of one-dimensional and two-dimensional convolutional neural networks in the task of analyzing a reference signal while determining the degradation level of single-core polymer-insulated cable. In this work was designed the set of reference signals and several forms of representing of these signals in the form of one-dimensional and two-dimensional tensors. Then, an experimental determination of the most effective version of the reference signal is carried out in terms of classification accuracy and the most effective form of representation of this signal was found, as well as most efficient type of neural network.
SMAA–Bicapacity–Choquet–Regret Model for Heterogeneous Linguistic MCDM With Interactive Criteria With Bipolar Scale and 2-Tuple Aspirations

Decision making could be an extremely complicated process. Especially, in situations in which the diversity of backgrounds and experience of decision makers (DMs) may require various forms to model their opinions. DMs’ rational choice even may be distorted by their judgements due to limitations of human cognitive competence. Generally, the interactions between criteria, the bipolar scale with negative values, and linguistic-valued aspirations on criteria are also needed to be addressed. In addition, several types of input information may be stochastic or uncertain, such as criteria evaluations, capacities, and preference coefficients. Our aim is to address all previous issues simultaneously by proposing a novel model that incorporates Choquet integral, bicapacity, regret theory, and stochastic multiobjective acceptability analysis (SMAA), i.e., SMAA–bicapacity–Choquet–regret for heterogeneous linguistic multiple criteria decision-making (MCDM) problems with interactive criteria with bipolar scale and 2-tuple aspirations. The heterogeneous linguistic information can offer a highly flexible way to express DMs’ preference; a novel 2-tuple aspirations-based utility within regret can better reflect the subjective perceptions of DMs in MCDM problems with 2-tuple aspirations on criteria; bicapacity can weigh the criteria and their coalitions, and Choquet integral concerning bicapacity can aggregate interactive criteria with bipolar scale; and finally, an application to evaluate medical waste disposal technologies is given, and a comparative analysis is performed to verify the applicability and effectiveness of the proposed model.
Wilf Equivalence for the Charge Statistic

Savage and Sagan have recently defined a notion of st-Wilf equivalence for any permutation statistic st and any two sets of permutations $\Pi$ and $\Pi'$. In this paper we give a thorough investigation of st-Wilf equivalence for the charge statistic on permutations and use a bijection between the charge statistic and the major index to prove a conjecture of Dokos, Dwyer, Johnson, Sagan and Selsor regarding powers of 2 and the major index.
Use of the Concept of Capillary Barriers to Optimize the Support Systems of Deep Vertical Excavations in Unsaturated Soils

In deep excavations, it is necessary to guarantee stability against catastrophic failure and to ensure that the deformations in the surrounding are within acceptable limits. Excavations done above the groundwater table can be supported with simple structures such as soldier pile walls. But the stability of the structure is affected by the infiltration of rainwater. If the infiltration of rainwater can be reduced the construction of a deep vertical excavation support system can be optimized. A Capillary Barrier (CB) which consists of a fine layer lying on top of a coarse layer at the ground level can cut off the infiltration into the lower layers. In this research study, initially, attempts were made to establish the critical parameters through parametric studies. A laboratory model of a Capillary Barrier was constructed with instrumentation and a rainfall pattern was applied. Experimental results were verified with GeoStudio, 2012 SEEP/W software and there was a very good agreement. A deep excavation supported by a soldier pile wall in an unsaturated soil was modelled thereafter with Midas GTS NX 3D software and the effectiveness of the capillary barrier in optimizing the design of the support system during a prolonged rainfall was illustrated.
High Efficient Cesium Copper Halide-Based Light Emitting Diodes with an insulating layer

Cesium copper halides-based materials have attracted wide attention due to their high photoluminescence quantum yield (PLQY), low toxicity, and outstanding stability. For obtaining high efficiency cesium copper halides-based light emitting diode (LED), two factors are of vital significance, i.e., reduced interfacial quenching and balanced charge injection. Here we develop a simple method of inserting an insulating layer between the cesium copper halides and the hole injection layer (HIL) to reduce the exciton quenching by the HIL and achieve more balanced charge injection into the emitting layer. Benefiting from this approach, the highest EQE of the cesium copper halides-based LEDs is improved from 2.29% to 4.29%.
EvoSense: Towards Self-evolving WiFi-based User Gait Recognition

Motivated by the recent development in WiFi-based gait recognition, in this work we propose a new system named as EvoSense, which can dynamically adapt to new users and update the recognition models to achieve a robust recognition performance even when there are new/unknown users in the system. EvoSense adopts deep metric learning based on approaches to design an efficient feature extraction network, which is able to extract robust features for different users in WiFi gait recognition, and this makes it possible to dynamically cluster and detect new users and to update the recognition network to adapt to these new user automatically. This feature makes it appealing since WiFi gait recognition with new/unknown users is still an important open problem that hinders the wide deployment of such systems currently. We implement and evaluate the system using real-world dataset, and the results show that EvoSense achieves an accuracy of 93.3% on the dataset of 15 users with 5 additional unknown users, which shows the effectiveness of EvoSense in real-world applications.
THE OPACITY OF THE INTERGALACTIC MEDIUM DURING REIONIZATION: RESOLVING SMALL-SCALE STRUCTURE

Early in the reionization process, the intergalactic medium (IGM) would have been quite inhomogeneous on small scales, due to the low Jeans mass in the neutral IGM and the hierarchical growth of structure in a cold dark matter universe. This small-scale structure acted as an important sink during the epoch of reionization, impeding the progress of the ionization fronts that swept out from the first sources of ionizing radiation. Here we present results of high-resolution cosmological hydrodynamics simulations that resolve the cosmological Jeans mass of the neutral IGM in representative volumes several Mpc across. The adiabatic hydrodynamics we follow are appropriate in an unheated IGM, before the gas has had a chance to respond to the photoionization heating. Our focus is determination of the resolution required in cosmological simulations in order to sufficiently sample and resolve small-scale structure regulating the opacity of an unheated IGM. We find that a dark matter particle mass of mdm ≲ 50 M☉ and box size of L ≳ 1 Mpc are required. With our converged results we show how the mean free path of ionizing radiation and clumping factor of ionized hydrogen depend on the ultraviolet background flux and redshift. We find, for example at z = 10, clumping factors typically of 10–20 for an ionization rate of Γ ∼ (0.3–3) × 10−12 s−1, with corresponding mean free paths of ∼3–15 Mpc, extending previous work on the evolving mean free path to considerably smaller scales and earlier times.
Hydrogen Lyα Absorption Predictions by Boltzmann Models of the Heliosphere

We use self-consistent kinetic/hydrodynamic models of the heliosphere to predict H I Lyα absorption profiles for various lines of sight through the heliosphere. These results are compared with Lyα absorption lines of six nearby stars observed by the Hubble Space Telescope. The directions of these lines of sight range from nearly upwind (36 Oph) to nearly downwind (ϵ Eri). Only three of the Lyα spectra (36 Oph, α Cen, and Sirius) actually show evidence for the presence of heliospheric absorption, which is blended with the ubiquitous interstellar absorption, but the other three spectra still provide useful upper limits for the amount of heliospheric absorption for those lines of sight. Most of our models use a Boltzmann particle code for the neutrals, allowing us to estimate neutral velocity distributions throughout the heliosphere, from which we compute model Lyα absorption profiles. In comparing these models with the data, we find they predict too much absorption in sidewind and downwind directions, especially when higher Mach numbers are assumed for the interstellar wind. Models created assuming different values of the interstellar temperature and proton density fail to improve the agreement. Somewhat surprisingly, a model that uses a multifluid treatment of the neutrals rather than the Boltzmann particle code is more consistent with the data, and we speculate as to why this may be the case.
Enhanced Feature Aggregation for Deep Neural Network Based Speaker Embedding

This paper proposes a new feature aggregation mechanism for deep neural network based speaker embedding for text-independent speaker verification. In speaker verification models, frame-level features are fed into the pooling layer or the feature aggregation component to obtain fixed-length utterance-level features. Our method utilizes the correlation between frame-level features such that dependencies between speaker discriminative information are represented with weights and produces weighted mean features with fixed-length as output. Our pooling mechanism is applied to the ECAPA-TDNN baseline architecture. In comparison to the Attentive Statistics Pooling applied to the same baseline, training on VoxCeleb1-dev dataset and an evaluation on the VoxCeleb1-test dataset shows that it reduces equal error rate (EER) by 7.32% and minimum normalized detection cost function (MinDCF10-2) by 7.34%.
Amplitude death state for hearing

We propose amplitude death phenomenon as an underlying mechanism of auditory transduction. When non-identical auditory hair bundles are elastically coupled, their spontaneous oscillations can be quenched to form an amplitude death state. We show, in this state, the hair cells are quiet and ready to detect oscillatory stimulus with coupling-strength dependent amplification. Numerical demonstration of the mechanism suggests that the non-uniformity of coupled hair cells can contribute to noise-robust auditory transduction.
ℓp-Norm Minimization of Auto and Cross Correlation Sidelobes in MIMO Radars

In this paper, we consider designing a set of constant modulus sequences with good auto- and cross-correlation properties in multiple-input multiple-output (MIMO) radar systems. In order to minimize the sidelobes level, we chose ℓp-norm (p ≥ 2) minimization of auto- and cross-correlation under constant modulus constraint as the design metric. This metric gives a good degree of freedom to the radar designers and cognitive radar systems to adopt the waveform in different situations. For instance, choosing the p helps to achieve different properties of waveforms, such as good integrated sidelobe level (ISL), peak sidelobe level (PSL) and sparsity. The problem formulation of ℓp-norm minimization leads to a non-convex and NP-hard optimization problem. To tackle the problem we deploy an iterative framework based on block successive upper bound minimization (BSUM) method. In this framework we convert the weighted ℓp-norm problem to a simpler quadratic form then we optimize the problem with respect to a vector iteratively. For each iteration, the approach to obtain a local optimum solution is gradient descent (GD) based method. Numerical results show that the proposed method meets the ISL lower bound and outperforms the state of the art methods based on PSL criterion.
Standardized Impedance: Microgrid Perspective for Inrush Current Compliance

With accelerating adoption of non-linear power electronics devices as well as the trend of distributed generation and microgrids, inrush and transient switching currents are not sufficiently limited by standards. The standard reference impedance according IEC 61000-3-3 and IEC 60725 appears higher compared to what is found in practice especially in the present environment resulting in electromagnetic interference challenges with large short term peak currents. This is especially true with complex and isolated power distribution user networks. This paper shows measurements and comparisons of inrush currents for a variety of grid impedance configurations as well as the effects of switching even low wattage power electronic devices. Measurements and simulations suggests lower impedance value of microgrids resulting in higher inrush currents and risking electromagnetic compatibility.
Entangling microscopic defects via a macroscopic quantum shuttle

In the microscopic world, multipartite entanglement has been achieved with various types of nanometer-sized two-level systems such as trapped ions, atoms and photons. On the macroscopic scale ranging from micrometers to millimeters, recent experiments have demonstrated bipartite and tripartite entanglement for electronic quantum circuits with superconducting Josephson junctions. It remains challenging to bridge these largely different length scales by constructing hybrid quantum systems. Doing so may allow us to manipulate the entanglement of individual microscopic objects separated by macroscopically large distances in a quantum circuit. Here we report on the experimental demonstration of induced coherent interaction between two intrinsic two-level states (TLSs) formed by atomic-scale defects in a solid via a superconducting phase qubit. The tunable superconducting circuit serves as a shuttle communicating quantum information between the two microscopic TLSs. We present a detailed comparison between experiment and theory and find excellent agreement over a wide range of parameters. We then use the theoretical model to study the creation and movement of entanglement between the three components of the quantum system.
Neutron stars with Hyperons in Dirac-Brueckner-Hartree-Fock approach

Using the Dirac-Brueckner-Hartree-Fock (DBHF) approach including the hyperon degrees of freedom, we investigate the properties of neutron-star matter. To handle the hyperons in matter, we first examine the importance of the space part of baryon self-energies at high densities, and secondly study the effect of negative-energy states of baryons, which can provide an unambiguous relationship between the in-medium reaction matrices for baryon-baryon scattering and the baryon self-energies. We solve the coupled, Bethe-Salpeter equations in the nuclear-matter rest frame by using the Bonn potentials. We assume that eight kinds of nonstrange and strange mesons ($\sigma,\,\delta,\,\omega,\,\rho,\,\eta,\,\pi,\,K,\,K^{\ast}$) take part in the interactions between two baryons. Then, we calculate the baryon self-energies, the energy density and pressure of matter. The present calculation provides a hard equation of state in neutron-star matter at high densities, which is generated by the effect of Pauli exclusion, the short-range correlations between two baryons, etc. We finally predict the maximum neutron-star mass of $2.02\,M_{\odot}$, which is consistent with both the recently observed masses, $1.97\pm0. 04M_{\odot}$ (J1614-2230) and $2.01\pm0. 04M_{\odot}$ (J0348+0432).
Topological Number of Edge States

We show that the edge states of the four-dimensional class A system can have topological charges, which are characterized by Abelian/non-Abelian monopoles. The edge topological charges are a new feature of relations among theories with different dimensions. From this novel viewpoint, we provide a non-Abelian analog of the TKNN number as an edge topological charge, which is defined by an SU(2) 't Hooft\char21{}Polyakov BPS monopole through an equivalence to Nahm construction. Furthermore, putting a constant magnetic field yields an edge monopole in a noncommutative momentum space, where D-brane methods in string theory facilitate study of edge fermions.
Neutral and ionised gas around the post-red supergiant IRC +10 420 at AU size scales

Context. IRC +10 420 is one of the few known massive stars in rapid transition from the red supergiant phase to the Wolf-Rayet or luminous blue variable phase. Aims. The star has an ionised wind and using the Brγ line we assess the mass-loss on spatial scales of ∼ 1A U. Methods. We present new VLT Interferometer AMBER data which are combined with all other AMBER data present in the literature. The final dataset covers a position angle range of ∼180 ◦ and baselines up to 110 m. The spectrally dispersed visibilities, differential phases and line flux are conjointly analysed and modelled. We also present the first AMBER/FINITO observations which cover a larger wavelength range and allow us to observe the Na i doublet at 2.2 μm. The data are complemented by X-Shooter data, which provide a higher spectral resolution view. Results. The Brγ emission line and the Na i doublet are both spatially resolved. After correcting the AMBER data for the fact that the lines are not spectrally resolved, we find that Brγ traces a ring with a diameter of 4.18 mas, in agreement with higher spectral resolution data. We consider a geometric model in which the Brγ emission emerges from the top and bottom rings of an hour-glass shaped structure, viewed almost pole-on. It provides satisfactory fits to most visibilities and differential phases. The fact that we detect line emission from a neutral metal like Na i within the ionised region, a very unusual occurrence, suggests the presence of a dense pseudo-photosphere. Conclusions. The ionised wind can be reproduced with a polar wind, which could well have the shape of an hour-glass. Closer in, the resolved Na i emission is found to occur on scales barely larger than the continuum. This fact and that many yellow hypergiants exhibit this comparatively rare emission hints at the presence of a “Yellow” or even “White Wall” in the Hertzsprung-Russell diagram, preventing them from visibly evolving to the blue.
An Overview of SRv6 Standardization and Application towards 5G-Advanced and 6G

Segment Routing over IPv6 (SRv6) is a source routing technique based on IPv6 data plane, which has been widely concerned. Benefit from its simplicity, scalability and programmability, SRv6 has been proposed to be introduced into mobile core network in 3GPP and IETF. SRv6 related standards and applications include alternative user plane protocol of core network, service function chaining, computing power network and smarter user plane. This paper will make a theoretical analysis of SRv6 and then overview the situation of SRv6 standardization and application. Finally, the development of SRv6 in standardization is prospected. With development of 5G-Advanced and 6G, SRv6 can contribute to leverage Software Defined Network (SDN) and Network Function Virtualization (NFV) in mobile network and facilitate fixed mobile convergence.
On the variability of the GeV and multi-TeV gamma-ray emission from the Crab nebula

Recently, the AGILE γ -ray telescope has reported enhanced γ -ray emission above 100 MeV from the direction of the Crab nebula during a period of a few days. This intriguing observation has been confirmed by the Fermi Large Area Telescope (LAT). This emission does not show evidence of pulsations with the Crab pulsar. It seems that it originates at the shock region created as a result of the interaction of the pulsar wind with the nebula. We propose that such variable γ -ray emission originates in the region behind the shock when the electrons can be accelerated as a result of the reconnection of the magnetic field compressed by the decelerating pulsar wind. The natural consequence of such an interpretation is the prediction that the Crab nebula γ -ray spectrum produced by electrons, as a result of the inverse Compton (IC) scattering of soft radiation to multi-TeV energies, should also show synchronous variability on the timescales as observed at GeV energies by AGILE and Fermi-LAT. We calculate how the end of the IC component of the Crab nebula γ -ray spectrum should look during the quiescent and the flare GeV γ -ray emission. We conclude that the variability of the multi-TeV γ -ray spectrum from the Crab nebula might, in principle, be responsible for the differences between the spectral features reported by the High-Energy Gamma-Ray Astronomy (HEGRA) and High-Energy Stereoscopic System (HESS) collaborations at multi-TeV energies.