bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying the entanglement of quantum states under the geometric method
Authors: Shi Xian , Chen Lin , Liang Yixuan 
Published: December 2022

Abstract
Quantifying entanglement is an important issue in quantum information theory. Here we consider the entanglement measures through the trace norm in terms of two methods, the modified measure and the extended measure for bipartite states. We present the analytical formula for the pure states in terms of the modified measure and the mixed states of two-qubit systems for the extended measure. We also generalize the modified measure from bipartite states to tripartite states.
Interaction of spatial-Gaussian lasers with the magnetized CNTs in the presence of DC electric field and enhanced THz emission
Authors: Kumar Sandeep , Vij Shivani , Kant Niti , Thakur Vishal 
Published: December 2022

Abstract
The interaction of spatial-Gaussian lasers

∼

10

13

Wcm

−
2

with magnetized carbon nanotubes (CNTs) in the presence of a DC electric field is shown to broaden the surface plasmon resonance effectively. The prime feature of the interaction of lasers with magnetized CNTs is that when the electron cylinder of CNT is shifted with respect to the ion cylinder, the space charge electric field is developed in the overlapped region and results in the restoration force of the electrons. The restoration force along with the ponderomotive and magnetic forces assist to increase the nonlinear current which is further enhanced by the drift velocity acquired by the electrons of CNTs due to the applied static electric field. This action is also responsible for the enhanced THz yield at surface plasmon resonance condition

ω
=

ω

p

ρ
/
2

ε

g

+

ω

c
2

/

ω

P
2

,

where

ρ

is the polarization coefficient,

ϵ

g

is the relative permittivity of the dielectric substrate,

ω

c

is the cyclotron frequency of CNT electrons and

ω

p

is the plasma frequency. The study reveals that THz generation from the magnetized CNTs may be a promising source for the detection of dangerous chemicals like royal demolition explosive (RDX), pentaerythritol tetra-nitrate (PETN), trinitrotoluene (TNT), etc.
Lattice Boltzmann model for a class of coupled nonlinear partial differential equations with variable coefficients
Authors: Wu Fangfang , Xu Duoduo , Wang Yingying 
Published: December 2022

Abstract
In this paper, a unified lattice Boltzmann model is proposed for a class of coupled nonlinear partial differential equations with variable coefficients. To deal with variable coefficients and coupling problems in equations, the scheme uses part of the convective terms as source terms and rewrites the coupled partial differential equations into a general equation. Through selecting equilibrium distribution functions and amending functions properly, the macroscopic equations with the second order accuracy can be recovered correctly from the Lattice Boltzmann model. Some numerical experiments are used to validate the model, and the numerical results agree well with the analytical solutions, indicating that the current lattice Boltzmann model is an effective method for solving a class of coupled nonlinear partial differential equations with variable coefficients.
Understanding developing turbulence by a study of the nonlinear energy transfer in the Navier–Stokes equation
Authors: Buchhave Preben , Velte Clara M 
Published: December 2022

Abstract
In the present work, we investigate a numerical one-dimensional solver to the Navier–Stokes equation that retains all terms, including both pressure and dissipation. Solutions to simple examples that illustrate the actions of the nonlinear term are presented and discussed. The calculations take the full 4D flow as its starting point and continuously projects the forces acting on the fluid at a fixed Eulerian point in a stationary coordinate system onto the direction of the instantaneous velocity. Pressure is included through modeling. Adhering to the requirement that time must in general be considered an independent variable, the time development of the time records and power spectra of the velocity fluctuations are studied. It is found that the actions of the nonlinear term in the Navier–Stokes equation manifests itself by generating sharp pulses in the time traces, where the sharpness is bounded by the finite viscosity. In the spectral domain, the sharp gradients in the pulses generate energy contributions at high frequencies that yields a −2 slope across the inertial range. The −2 (or −6/3) slope is explained through a simple example and the classically expected −5/3 slope in the inertial range can be recovered from the pressure fluctuations from the full flow field that can be considered a noise contribution at the point considered. We also observe that the spectrum can in principle keep spreading to higher frequencies or wavenumbers without upper bound, as the viscosity is approaching the zero limit.
On kinetics and extreme values in systems with random interactions
Authors: Girard Martin 
Published: December 2022

Abstract
Biological environments such as the cytoplasm are comprised of many different molecules, which makes explicit modeling intractable. In the spirit of Wigner, one may be tempted to assume interactions to derive from a random distribution. Via this approximation, the system can be efficiently treated in the mean-field, and general statements about expected behavior of such systems can be made. Here, I study systems of particles interacting via random potentials, outside of mean-field approximations. These systems exhibit a phase transition temperature, under which part of the components precipitate. The nature of this transition appears to be non-universal, and to depend intimately on the underlying distribution of interactions. Above the phase transition temperature, the system can be efficiently treated using a Bethe approximation, which shows a dependence on extreme value statistics. Relaxation timescales of this system tend to be slow, but can be made arbitrarily fast by increasing the number of neighbors of each particle.
Universal growth of social groups: empirical analysis and modeling
Authors: Vranić Ana , Smiljanić Jelena , Dankulov Marija Mitrović 
Published: December 2022

Abstract
Social groups are fundamental elements of any social system. Their emergence and evolution are closely related to the structure and dynamics of a social system. Research on social groups was primarily focused on the growth and the structure of the interaction networks of social system members and how members’ group affiliation influences the evolution of these networks. The distribution of groups’ size and how members join groups has not been investigated in detail. Here we combine statistical physics and complex network theory tools to analyze the distribution of group sizes in three data sets, Meetup groups based in London and New York and Reddit. We show that all three distributions exhibit log-normal behavior that indicates universal growth patterns in these systems. We propose a theoretical model that combines social and random diffusion of members between groups to simulate the roles of social interactions and members’ interest in the growth of social groups. The simulation results show that our model reproduces growth patterns observed in empirical data. Moreover, our analysis shows that social interactions are more critical for the diffusion of members in online groups, such as Reddit, than in offline groups, such as Meetup. This work shows that social groups follow universal growth mechanisms that need to be considered in modeling the evolution of social systems.
Noise performance of the ALPIDE-based ALICE Inner Tracking System
Authors: Mager Magnus 
Published: December 2022

The new ALICE Inner Tracking System is the first large-scale MAPS-based tracking system. It is covering an active surface of 10 m2, with a total of 12.5 billion pixels. Several optimisations of the pixel chip lead to a quasi-noise-free operation, with measured fake-hit rates of below 1 hit per pixel and billion events (system level numbers), numbers compatible with the order of magnitude expected from cosmic and natural background radiation.
This contribution covers a detailed study of fake hits as recorded in the inner-most detector barrels, made of the highest quality chips. It reveals a localised noise pattern that could be traced down to originate from decoupling capacitors present on the detector module. It can most likely be explained by the radioactive decay of 210Pb, which is present in trace amounts in the solder that was used to mount decoupling capacitors on the detector modules. This hypothesis is substantiated with a dedicated simulation study and laboratory measurements.
Test of a prototype Microstrip Silicon Detector for the FOOT experiment
Authors: Silvestre G , Di Ruzza B , Ambrosi G , Movileanu M , Kanxheri K , Barbanera M , Placidi P , Servoli L 
Published: December 2022

The FOOT (FragmentatiOn Of Target) experiment aims to measure the fragmentation cross-section of protons into H, C, O targets at beam energies of interest for hadrontherapy (50-250 MeV for H and 50-400 MeV/u for C ions).
Given the short range of the fragments, an inverse kinematic approach requiring precise tracking capabilities in a magnetic volume has been chosen.
A key subsystem of this experiment will be the Microstrip Silicon Detector, based on 3 X-Y measuring station, each composed of two 150 μm thick single side microstrip sensors. In this work, we present the results of characterization of the new version of a 64 channel low-noise/low power high dynamic range readout ASIC and subsequent tests of the first 150 um thick sensor prototype.
A series of tests were also performed to validate a novel “grazing angle” approach, where it is possible to change the track length below a given strip varying the incoming particle’s incident angle onto the sensor to test the electronics dynamic range without using high Z ions.
Simulation Verification and Testing of Dual Circular Polarization Diversity
Authors: Ji Haocong , Chen Ning , Zhao Peng , Tang Guoshun 
Published: December 2022

Abstract
This paper presents a test method of satellite communication based on dual circular polarization diversity. A polarized channel model is established based on two validated models to obtain the bit error rate curve of MIMO system. Moreover, the specific antennas are chosen through the simulation result of the cross-polar discrimination (XPD). Finally, a hardware platform with USRPE310 and polarized-antenna is established to verify the simulation result.
Research on defect detection and sorting device of curved label based on multi-template matching
Authors: Chen Si , Peng Yihang , Yi Ming 
Published: December 2022

Abstract
Label defects will affect word-of-mouth and sales of goods and bring consumers a bad consumption experience, so it is of great significance to detect label defects. In order to quickly and accurately detect the defects of the curved label and sort the defective products with label defects, the mechanical mechanism and control circuit of curved label defect detection and intelligent sorting device and the label defect method based on visual detection are studied. In the aspect of label defect detection, taking the label defect of a curved bottle as the detection target, using the method of multi-template matching, image acquisition is carried out on the curved label from multiple angles, multiple templates are made, the shape of the image is matched and compared with the established multiple templates in turn, and the highest matching score is taken as the final matching score. The statistical results of 600 surface label defect detection experiments show that this method’s accuracy is 96.5%. Using this method to detect the defects of curved bottle labels has a good effect, and the detection accuracy of curved labels with dense characters and patterns is very high.
Adaptive Not-direct-path Identification in UWB Localization
Authors: Lu Ziyu , Zuo Tao 
Published: December 2022

Abstract
In specific ultra-wideband (UWB) localization scenarios, conventional non-line-of-sight (NLOS) identification algorithm cannot detect other not-direct-path conditions. We proposed an adaptive not-direct-path identification method based on machine learning and artificial neural networks. Compared to the artificial division of not-direct-path data sets, we verified the advantages of data set partitioning by the method. The performance of NLOS recognition using different methods in different scenes is also analyzed, and the average identification accuracy in different scenarios can reach 92% or more.
OFDM Spectrum Sensing Analysis and Implementation Method
Authors: Liu Hao , Xia Yufan , Yu Haonan 
Published: December 2022

Abstract
OFDM is a carrier modulation technology, which realizes the parallel transmission of high-speed serial data through frequency division multiplexing. OFDM has an excellent ability to resist multipath fading and is commonly used in wireless communication transmission technology. Spectrum sensing technology is a technology that allows cognitive users to accurately obtain the authorized spectrum usage in wireless networks through signal detection and other processing methods. It is the basis for effectively using different idle channels in different time domains. This paper mainly discusses the OFDM technology, deduces the algorithm of the implementation principle and mathematical characteristics of OFDM, analyses its spectrum characteristics and performance advantages, focuses on the principle and method of OFDM spectrum sensing based on spectrum sensing technology, combs the characteristics of several existing commonly used OFDM spectrum sensing methods, and analyses the implementation cost, hardware requirements, transmission performance The performances of interference factors and other aspects are sorted out, the advantages and disadvantages of several existing OFDM spectrum sensing methods are compared, their respective applicable environments are compared, and their possible problems in the future development prospect of OFDM technology and the direction that needs further research and improvement are put forward.
Research on the Construction Method in Complex Electromagnetic Environment Based on Composite Signal
Authors: Zhu Zhijun , Sun Jiwei , Yang Jian , Li Chenyong , Su Dongchu , Qiang Lu 
Published: December 2022

Abstract
Based on new signal generation technologies such as vector signal modulation and arbitrary waveform editing and playback, the transmitter resources are multiplexed by each signal component at the same time or sharing time to generate flexible and dense composite signals and solve the problem of complex electromagnetic environment construction under the limited hardware.
Construction and Simulation of Lanchester Battle Equations Based on Space-based Information Support
Authors: Liu Yunzheng , Zhang Xiran , Du Hongfeng , Wang Gege , Zeng Dexian 
Published: December 2022

Abstract
Modern warfare is a joint operation supported by space-based information, and space-based information is a “benefit multiplier” for joint combat effectiveness. In order to study the impact of space-based information support on joint operations, this paper improves the classical Lanchester equation [1] by introducing the space-based information support capability index, coordination index, decision-making index, etc. The Lanchester combat model was simulated and a scenario simulation was carried out. The simulation results show that the model can effectively describe the important support of space-based information for joint operations, and provides a theoretical reference for studying the winning mechanism of joint operations.
A Miniaturized Broadband Omnidirectional Monopole Antenna Operating at UHF Band in Wireless Communication
Authors: Zhang Xuan , Zhao Chunqi , Yang Yang , Wang Ren , Zhang Zhaojing , Li Jialei 
Published: December 2022

Abstract
In the paper, a miniaturized broadband omnidirectional monopole antenna is designed. The two bending E-shaped structures are introduced into the common two-strip structure monopole antenna. The radiation patches can be effectively distributed on two sides of the dialectic body by four shorting pins. Thus, the proposed antenna has the function of miniaturization and integration. According to the introduced structures, the whole antenna has a smaller size of 318mm*12.2mm, which can improve a 34.2% integration degree. Finally, the present monopole antenna is manufactured, and the measured data shows that it has stable gains and good omnidirectional patterns from 463MHz to 513MHz.
Research and Simulation of OCDM Switch Layer Based on 2D WDM-Optical Code Switching Structure
Authors: Dong Tengfei , Meng Lin , Wang Jing , Li Kan 
Published: December 2022

Abstract
Optical Communication is widely used in military and civilian backbone network communication, but due to the limitation of “electronic bottleneck”, the ability of network nodes to process information and optical layer data transmission capacity is seriously mismatched, which directly causes optical cross connectors in optical nodes. The number of ports carried has skyrocketed. In order to improve the processing speed of network nodes, this paper studies the four-layer multi-granularity switching system of optical fiber, wavelength band, wavelength, and optical code, and finally builds a complete OCDMA system through simulation software, simulates multi-user simulation, and successfully realizes The encoding and decoding process is analyzed, and the performance simulation and analysis of the core switching module of the four-layer multi-layer optical switching system-OCDM switching module are carried out, and the feasibility and superiority of the selected system are verified.
Electric field characteristics of shared towers and electric field distribution characteristics near 5G base stations
Authors: Huang Huan , Hong Xiao Yan , Li Bin , Liu Lei , Yu Siwu , Mao Xianyin , Peng Chi , Du Hao 
Published: December 2022

Abstract
With the continuous promotion of domestic 4G network construction and the gradual arrival of 5G networks, the requirements of mobile communication networks on capacity and coverage are constantly improving, and the number of communication base stations is also increasing. Therefore, the “shared tower” with the function of a communication base station added to the existing high-voltage transmission line tower is becoming a new resource-sharing mode. There is no systematic study on the installation location of the shared tower base station on the high-voltage tower, which is not conducive to the application and promotion of “shared tower”. In this paper, the finite element simulation model of the tower installed with the base station is built. The electric field distribution near the tower with the base station, the electric field distribution characteristics under different base station installation quantities and different positions of the base station are mainly studied, and the electric field distribution near the surface of the base station is obtained. Combined with the electrical safety distance limit of communication equipment and iron tower, the influence of the installation location and quantity of the base station on the electric field near the base station is evaluated.
User multi-scenario energy storage configuration and operation strategy
Authors: Zhou Bin , Zhou Zhiqiang , Zheng Yunfei , Gong Qing 
Published: December 2022

Abstract
With the transformation of China’s energy consumption side, users’ energy demand will become more diversified and comprehensive, and the coupling degree of energy consumption systems such as cold, heat, and electricity will deepen day by day. Among them, the energy storage system will play an important role in comprehensive energy service. Using energy storage equipment on the users’ side can significantly improve the utilization rate of renewable energy, realize peak shaving and valley filling, and thus reduce the energy cost of the system. User-side residential and commercial scenarios have different load characteristics and face different energy storage configuration requirements. Therefore, this paper studies the operation optimization strategy of multi-scenario energy storage configuration on the user side, studies the definition and constraints of the state of charge of electric energy storage for residential areas, and establishes the configuration and operation model of electric energy storage.
Research on Intelligent Anti-misoperation of Operation Ticket in Urban Distribution Network
Authors: Zhang Peng , Xu Yutao , Yue Xi , Li Changjun , Yang Xiaohui 
Published: December 2022

Abstract
The traditional anti-mischeck mode of regulation and control operation relying on the experience of dispatchers can no longer meet the needs of daily work. To solve the problems of poor actual operation effect and low anti-misoperation efficiency of the traditional anti-misoperation method due to the large number of tasks of the current distribution network, this paper optimizes the traditional anti-misoperation method and takes the distribution network of M power supply company as an example to design a new intelligent anti-misapplication method of operation ticket. First of all, this paper uses intelligent distribution network maintenance technology to overhaul the distribution network operation ticket application server in an all-round way. Based on real-time analytical constraints, combined with the power supply demand of urban distribution networks, this paper designs an intelligent anti-misoperation constraint mechanism for operation tickets. The experimental analysis shows that after the application of the proposed anti-error method, the qualified rate of the operation order scheduling tasks is more than 95. 6% and the error rate is less than 1. 1%, which shows that the anti-error method proposed in this paper has significant advantages and high feasibility.
EEG Emotion Classification and Correlation Research Based on Deep Learning
Authors: Li Zhengping , Xia Hongsheng , Wang Lijun 
Published: December 2022

Abstract
In the classification of EEG emotions, the improvement of the generalization performance of deep learning networks is particularly important for the information extraction of EEG raw signals. In this paper, we use label smoothing (LS) as a regularization method to improve the generalization performance of the network by alleviating the overfitting of the network. The method is evaluated on the DEAP (Database for Emotion Analysis using Physiological signals) dataset, and the differences in emotion classification in different brain regions are compared. The experimental results show that our method has improved the generalization performance of the network, increasing the mean accuracy by 1.34% in the arousal dimension and 2.28% in the valence dimension.