Miracle-dz/UniFAR-FTUs huggingface dataset:
PI Controller Parameter Setting of PMSM Speed Control System based on Pigeon-inspired Optimization Algorithm

In order to solve the problem that PI controller has difficulty in parameter setting in PMSM, a PI parameter setting method for PMSM speed control system based on modified pigeon-inspired optimization algorithm is proposed. The algorithm of pigeon-inspired optimization was combined with Powell search algorithm, so that the convergence speed was improved by using the direct search characteristic of Powell algorithm. The PI controller parameters are taken as the output of the algorithm, and the optimal PI control parameters can be obtained after several iterations. Simulation results show that the PI controller optimized by the modified pigeon-inspired optimization algorithm has good robustness. The proposed method greatly reduces overshoot and shortens response time.
Priority-Driven Task Processing in UAV-Assisted Software-Defined Edge Networks

For providing wireless connectivity and facilitating a capacity boost under transient high service load situations a substitute or auxiliary fast-deployable network is instrumental. Unmanned Aerial Vehicle (UAV) networks are well suited for such needs owing to their high mobility and agility. This paper considers a software-defined edge network consisting of UAVs equipped with wireless access points which serve mobile users with latency-sensitive workload in an edge-to-cloud continuum setting. It investigates the task offloading paradigm to provide prioritized services via this on-demand aerial network. Accordingly a task processing optimization model is defined to minimize the overall penalty calculated based on priority-weighted delay values against a priori defined task deadlines. Since the defined assignment problem is NP-hard tailored heuristic models are proposed and evaluated to study how the system performs under different operating conditions
Recovering pyramid WS gain in non-common path aberration correction mode via deformable lens

It is by now well known that pyramid based wavefront sensors, once in closed loop, have the capability to improve more and more the gain as the reference natural star image size is getting smaller on the pyramid pin. Especially in extreme adaptive optics applications, in order to correct the non-common path aberrations between the scientific and sensing channel, it is common use to inject a certain amount of offset wavefront deformation into the DM(s), departing at the same time the pyramid from the optimal working condition. In this paper we elaborate on the possibility to correct the low order non-common path aberrations at the pyramid wavefront sensor level by means of an adaptive refractive lens placed on the optical path before the pyramid itself, allowing the mitigation of the gain loss.
Phase diagram of stability for massive scalars in anti–de Sitter spacetime

We diagram the behavior of 5-dimensional anti-de Sitter spacetime against horizon formation in the gravitational collapse of a scalar field, treating the scalar field mass and width of initial data as free parameters, which we call the stability phase diagram. We find that the class of stable initial data becomes larger and shifts to smaller widths as the field mass increases. In addition to classifying initial data as stable or unstable, we identify two other classes based on nonperturbative behavior. The class of metastable initial data forms a horizon over longer time scales than suggested by the lowest order perturbation theory at computationally accessible amplitudes, and irregular initial data can exhibit non-monotonic and possibly chaotic behavior in the horizon formation times. Our results include evidence for chaotic behavior even in the collapse of a massless scalar field.
Design Aesthetics Evaluation Platform based on Multidimensional Data Fusion Framework

This paper studies the design aesthetics evaluation platform based on multidimensional data fusion framework. The adaptive weighting algorithm refers to the process of self-adjustment of parameters according to the characteristics of the data in time when processing data, and constantly approximating the target. Usually, the method of minimum mean square error is used for approximation. Hence, the designed fusion algorithm is based on this idea. In the process of predicting the energy consumption by the designed model, the algorithm uses the CPU, memory, disk, network and other resource utilization data predicted by the multi-GRU model as energy consumption factors for regression prediction and predicts the server energy consumption data after simulated frequency reduction. At this time, the data fusion action will be also then considered for the general enhancement. Considering that any two nodes in the cluster need to further exchange data, the communication overhead will also increase. With this theoretical background, the designed model is applied to the aesthetics evaluation platform. Through the simulation, the performance is tested.
Semantic Segmentation of 3D Scene based on Global Feature Fusion

Semantic segmentation is an important tool for computers to perceive the real world and it is the basis and key to solve high-level vision tasks. However, as the real scene contains a large number of complex objects and is also affected by factors such as occlusion, the performance of the segmentation method based on single-modal data is affected. In order to improve the accuracy of segmentation and reduce the influence of object occlusion, truncation and other factors, a 3D scene semantic segmentation framework based on 2D image features, geometric structure and global context information is proposed. It adopts a heterogeneous network to combine image and depth information effectively, thus solving the problem that the result of using single-modal data is not fine enough. Experimental results show that the proposed method is effective in understanding complex scenes.
Nanoscale Design of Multi-Layer Perceptrons using Floating-Point Arithmetic Units

Deep learning requires powerful designs to process large volume of data during inference while meeting other metrics of high performance such as efficient hardware, operating frequency, power dissipation and latency. In this paper, the shortcomings of current technologies in implementing the forward propagation of Multi-Layer Perceptrons (MLPs) are first investigated. Subsequently, a novel design at nanoscale that combines parallelization and serialization techniques (so hybrid), is proposed to implement a high performance MLP. This design utilizes single precision floating-point arithmetic units and a fully pipelined scheme; it is very flexible because the hardware is independent of the network topology, except for the number of cycles and therefore, the latency. Simulation results for the MNIST dataset show that compared to existing MLP designs found in the technical literature, the proposed design achieves the least power consumption, the highest operating frequency and accuracy; however, it suffers from a slight increase in latency.
Non-synchronous rotations in massive binary systems

Context. The OWN Survey has detected several O-type stars with composite spectra whose individual components show very different line broadening. Some of these stars have been revealed as binary systems whose components are asynchronous. This fact may be related to the processes acting in these systems (e.g., angular-momentum transfer, tidal forces, etc.) or to the origin of the binaries themselves. Aims. We aim to determine the orbital and physical parameters of the massive star HD 96264A in order to confirm its binary nature and to constrain the evolutionary status of its stellar components. Methods. We computed the spectroscopic orbit of the system based on the radial velocity analysis of 37 high-resolution, high-S/N, multi-epoch optical spectra. We disentangled the composite spectrum and determined the physical properties of the individual stellar components using FASTWIND models incorporated to the IACOB-GBAT tool. We also computed a set of evolutionary models to estimate the age of the system and explore its tidal evolution. Results. HD 96264A is a binary system composed of an O9.2 IV primary and a B0 V(n) secondary, with minimum masses of 15.0 ± 0.5 M⊙ and 9.9 ± 0.4 M⊙, respectively, in a wide and eccentric orbit (P = 124.336 ± 0.008 d; e = 0.265 ± 0.005). The primary and secondary components have different projected rotational velocities (∼40 and ∼215 km s−1 respectively), and the physical properties derived through quantitative spectroscopic analyses include masses of ∼20.5 M⊙ and 16.8 M⊙, respectively. The evolutionary models indicate an approximate age of 4.5 Myr for both stars in the pair, corresponding to current masses and radii of 26.0 M⊙ and 10.8 R⊙ for the primary, and 17.9 M⊙ and 7.0 R⊙ for the secondary. Conclusions. The youth and wide orbit of the system indicate that the non-synchronous rotational nature of its components is a consequence of the stellar formation process rather than tidal evolution. This circumstance should be accounted for in theories of binary star formation.
Constraining the non-gravitational scattering of baryons and dark matter with early cosmic structure formation

We derive new constraints on the non-gravitational baryon-dark matter scattering (BDMS) by evaluating the mass thresholds of dark matter (DM) haloes in which primordial gas can cool efficiently to form Population III (Pop III) stars, based on the timing of the observed 21 cm absorption signal. We focus on the BDMS model with interaction cross-section $\sigma =\sigma _{1}[v/(1\ \mathrm{km\, s^{-1}})]^{-4}$, where v is the relative velocity of the encounter. Our results rule out the region in parameter space with $\sigma _{1}\gtrsim 10^{-19}\, \mathrm{cm^{2}}$ and DM particle mass mχc2 ≲ 3 × 10−2 GeV, where the cosmic number density of Pop III hosts at redshift z ∼ 20 is at least three orders of magnitude smaller than in the standard Lambda cold DM (ΛCDM) case. In these BDMS models, the formation of Pop III stars is significantly suppressed for z ≳ 20, inconsistent with the timing of the observed global 21 cm absorption signal. For the fiducial BDMS model with mχc2 = 0.3 GeV and $\sigma _{1}=8\times 10^{-20}\, \mathrm{cm^{2}}$, capable of accommodating the measured absorption depth, the number density of Pop III hosts is reduced by a factor of 3−10 at z ∼ 15−20, when the 21 cm signal is imprinted, compared with the ΛCDM model. The confluence of future detailed cosmological simulations with improved 21 cm observations promises to probe the particle-physics nature of DM at the small-scale frontier of early structure formation.
MAGIC search for VHE gamma-ray emission from AE Aquarii in a multiwavelength context

Context. It has been claimed that the nova-like cataclysmic variable (CV) AE Aquarii (AE Aqr) is a very-high-energy (VHE, E >100 GeV) source both on observational and theoretical grounds. Aims. We search for VHE -ray emission from AE Aqr during di erent states of the source at several wavelengths to confirm or rule out previous claims of detection of -ray emission from this object. Methods. We report on observations of AE Aqr performed by MAGIC. The source was observed during 12 hours as part of a multiwavelength campaign carried out between May and June 2012 covering the optical, X-ray, and -ray ranges. Besides MAGIC, the other facilities involved were the KVA, Skinakas, and Vidojevica telescopes in the optical and Swift in X-rays. We calculated integral upper limits coincident with di erent states of the source in the optical. We computed upper limits to the pulsed emission limiting the signal region to 30% of the phaseogram and we also searched for pulsed emission at di erent frequencies applying the Rayleigh test Results. AE Aqr was not detected at VHE energies during the multiwavelength campaign. We establish integral upper limits at the 95% confidence level for the steady emission assuming the di erential flux proportional to a power-law function d= dE / E , with a Crab-like photon spectral index of = 2.6. The upper limit above 200 GeV is 6.4 10 12 cm 2 s 1 and above 1 TeV is 7.4 10 13 cm 2 s 1 . We obtained an upper limit for the pulsed emission of 2.6 10 12 cm 2 s 1 for energies above 200 GeV. Applying the Rayleigh test for pulsed emission at di erent frequencies we did not find any significant signal. Conclusions. Our results indicate that AE Aqr is not a VHE -ray emitter at the level of emission previously claimed. We have established the most constraining upper limits for the VHE -ray emission of AE Aqr.
The Effect of Transverse Waves on Magnetoelectric Antenna Radiation Performance

Antenna is a critical component in the miniaturization of wireless communication equipment. Magnetoelectric (ME) antennas have gotten a lot of attention because they are 4–5 orders of magnitude smaller than electrically small antennas. Transverse wave is an important excitation method of magneto electric effect, but its influence on the radiation of ME antenna has not been fully studied. This paper use Finite Difference Time Domain (FDTD) to develop a two-dimensional anisotropic model of ME antenna to study the transverse effect on radiation performance. After verifying the model, the transverse wave is adjusted by changing the electrode arrangement and the excitation magnetic field is calculated to study the transverse wave influence on the radiation performance. These results indicate that matching the electrode width to 1/2 the wavelength of the transverse wave can improve radiation performance by two orders of magnitude. This study develops a new simulation model and design concept for ME antennas, thereby promoting their application in the Internet of Things (IoT) and embedded sensors, and other fields.
Application of Computer 3D Printing Technology in Clothing Design

China has a large population, coupled with the rapid economic development in recent years, which promotes the rapid development of many industries; including the clothing industry is one of them. At present, China's clothing industry is well-known in the world, and also in the leading position in the world in terms of clothing consumption level. In recent years, the popularity of 3D printing technology has been very high, and it has been rapidly applied to many fields as soon as it came out. Now the technology has been gradually applied to the clothing industry. This paper selects two factories as experimental research object One factory applies 3D printing technology to its factory while the factory continue to adopt the original design method. The results of the experimental data show that the work efficiency and turnover rate of a unit are much higher than that of the unit. The highest work efficiency of factory a is 97%, and the highest turnover is 2.018 million yuan. The highest efficiency of factory B is 81%, and the highest turnover is 1.759 million yuan.
Left-turn Risk Assessment of Autonomous Vehicles at Unsignalized Intersections

In order to evaluate the interaction risk from surrounding vehicles when an autonomous vehicle turns left at unsignalized intersections, this paper proposes a novel left-turn risk assessment model based on the driving intentions of surrounding vehicles. Naive Bayesian model is employed to predict the driving intention of surrounding vehicles, and the potential spatio-temporal trajectory conflicts among the autonomous vehicle and surrounding vehicles are analyzed based on the separation axis theorem. Then collision risk assessment model is conducted based on the driving intention prediction result of surrounding vehicles as well as the potential conflict metric. An unsignalized intersection simulation scene is built on the Prescan-Simulink simulation platform, and the proposed left-turn risk assessment method is verified. The simulation results indicate that the proposed method can effectively predict the driving intention of other vehicles and assess the interaction risk for autonomous vehicle, especially in the scenario where the driving risks cannot be identified with the method without the safety clearance area.
The eye of Gaia on globular clusters kinematics: internal rotation

We derived the three-dimensional velocities of individual stars in a sample of 62 Galactic globular clusters using proper motions from the second data release of the Gaia mission together with the most comprehensive set of line-of-sight velocities with the aim of investigating the rotation pattern of these stellar systems. We detect the unambiguous signal of rotation in 15 clusters at amplitudes which are well above the level of random and systematic errors. For these clusters, we derived the position and inclination angle of the rotation axis with respect to the line of sight and the overall contribution of rotation to the total kinetic energy budget. The rotation strengths are weakly correlated with the half-mass radius, the relaxation time, and anticorrelated with the destruction rate, while no significant alignment of the rotation axes with the orbital poles has been observed. This evidence points towards a primordial origin of the systemic rotation in these stellar systems.
Secure Outage Probability in the Presence of Two Eavesdroppers and Composite Fading

We investigate the secure outage probability (SOP) in the presence of two eavesdroppers over $F$ composite fading channels. The derived analytic results are relatively simple and their validity is justified through comparisons with respective simulation results. Subsequently, they are used to quantify the impact of the involved parameters on the achievable secure communication in the considered set up.
Design of A Positioning System for UAV in GPS-denied Environment

In this paper, a method for UAV positioning in GPS-denied environment through a multi-sensor fusion algorithm is proposed. This method uses IMU and UWB to obtain acceleration and position information respectively. After processing the two sets of data, the position data is obtained, and the more accurate position data is obtained through the Kalman filter algorithm. Through simulation and experimental results, this method of positioning proved to be very effective. This method can significantly reduce the accuracy requirements for the positioning sensors, and obtain relatively high-precision results through the fusion processing of data collected by multiple low-precision sensors. This method can be used in the positioning system of low-cost UAVs, which is of great significance for reducing the cost and promoting commercial applications.
A Hybrid Biosignal Compression Model for Healthcare Sensor Networks

Recent development in wearable sensor technology helps to collect biological signals at a low cost. Collecting and analyzing different biomarkers are anticipated to improve the preventative health care system through customized medical applications. The wearable sensors are battery-operated and based on technology with restricted resources, and they must use simple approaches to handle storage and energy properly. To achieve this goal, apply a lossy predictive coding-based method to compress signals at the sensors to reduce the energy needed to transmit data, minimize the storage space required, and extend battery life. This paper proposes a combination of Long-Short-Term-Memory(LSTM) and XGBoost-based hybrid model to address the challenge of sparse signal reconstruction in terms of multiple sampling vectors under compressed sensing, based on the assumption that the signal vectors are jointly correlated. The Proposed model achieves better compression efficiency than the baseline models considered for comparison and minimizes the energy consumption and storage space required. The performance results show that the proposed model extends the lifetime of the sensors and HSN.
Field Effect and Local Gating in Nitrogen-Terminated Nanopores (NtNP) and Nanogaps (NtNG) in Graphene.

Functionalization of electrodes is a wide-used strategy in various applications ranging from single-molecule sensing and protein sequencing, to ion trapping, to desalination. We demonstrate, employing DFT with Non-Equilibrium Green's Function formalism that single-species (N, H, S, Cl, F) termination of graphene nanogap electrodes results in a strong in-gap electrostatic field, induced by species-dependent dipoles formed at the electrode ends. Consequently, the field increases or decreases electronic transport through a molecule (benzene) placed in the nanogap by shifting molecular levels by almost 2 eV with respect to the electrode Fermi level via field effect akin to the one used for field effect transistors. We also found the local gating in graphene nanopores terminated with different single-species atoms. Nitrogen-terminated nanogaps (NtNGs) and nanopores (NtNPs) result in the strongest effect. The in-gap potential can be transformed from a plateau-like to a saddle-like shape by tailoring NtNG and NtNP size and termination type. In particular, the saddle-like potential is applicable in single-ion trapping and desalination devices.
Accurate and efficient waveforms for compact binaries on eccentric orbits

Compact binaries that emit gravitational waves in the sensitivity band of ground-based detectors can have non-negligible eccentricities just prior to merger, depending on the formation scenario. We develop a purely analytic, frequency-domain model for gravitational waves emitted by compact binaries on orbits with small eccentricity, which reduces to the quasi-circular post-Newtonian approximant TaylorF2 at zero eccentricity and to the post-circular approximation of Yunes et al. (2009) at small eccentricity. Our model uses a spectral approximation to the (post-Newtonian) Kepler problem to model the orbital phase as a function of frequency, accounting for eccentricity effects up to ${\cal{O}}(e^8)$ at each post-Newtonian order. Our approach accurately reproduces an alternative time-domain eccentric waveform model for eccentricities $e\in [0, 0.4]$ and binaries with total mass less than 12 solar masses. As an application, we evaluate the signal amplitude that eccentric binaries produce in different networks of existing and forthcoming gravitational waves detectors. Assuming a population of eccentric systems containing black holes and neutron stars that is uniformly distributed in co-moving volume, we estimate that second generation detectors like Advanced LIGO could detect approximately 0.1-10 events per year out to redshift $z\sim 0.2$, while an array of Einstein Telescope detectors could detect hundreds of events per year to redshift $z \sim 2.3$.
Design and construction of automatic construction and control model for security analysis scenario

In order to solve a series of problems that the current security analysis scenarios are highly discrete and cannot be integrated, moreover the security analysis scenarios lacks precise permission control, this paper proposes an automatic construction and fine-grained control model of security analysis scenarios, which can 1) assist analysts in the rapid iterative development of security analysis scenarios. , and support the automated construction of the entire process of security analysis scenarios tasks; 2) unified management of existing security analysis scenarios and provide start and stop control for analysis tasks. , 3) provide fine-grained permission control for security analysis scenarios to ensure the manageability and controllability of security analysis scenarios. The model can help analysts simplify the development process and improve the research and development (R&D) efficiency. , so as to further quickly mine the alarm events like cyber-attacks in the network and strengthen the network security situation awareness.