bluuebunny/crossref_metadata_2025_split huggingface dataset:
Signal Detection and Signal Source Integrated System Design
Authors: Lai Wanchang , Ma Hengxu , Wang Guangxi , Lin Hongjian , Huang Jinchu 
Published: January 2021

Abstract
A signal detection and nuclear signal generator is designed with a 7 and a half high-precision measurement module, high-precision reference source, and digital potentiometer, which integrates the measurement of three signals of bipolar high voltage, micro/high current, and large resistance. And precision adjustable voltage source and current source of microvolt level and picoamp level. Experimental tests show that the system can accurately measure a variety of IVR signals, while providing a stable and precise voltage source and current source, and is easy to operate and easy to carry.
Development of the Long Duration Chemical Oxygen Iodine Laser
Authors: Zhao Weili , Fang Benjie , Zhang Yuelong 
Published: January 2021

Abstract
The development of Chemical Oxygen Iodine Laser (COIL) with a long duration is of important for the industry application of COIL. The aim of this research was to achieve a stable and longtime COIL operation. A systemic study of output power stability was performed from three aspects: influencing factors, solutions, and experimental verification. A 100s duration COIL in the power level of 5kW was firstly developed in our laboratory. The fluctuant range of power is about 5%, and the filling factor f (Imin/Imax) is about 0.4.
Research and Application of Broadband Matching Technology for Single Crystal Underwater Acoustic Transducer
Authors: Li Haonan , Zheng Hong , Tang Yunfeng , Zhang Xufeng 
Published: January 2021

Abstract
To solve the broadband matching problem of underwater acoustic transducer, a matching method based on network theory analysis and Monte Carlo algorithm is studied in this paper. In this study, the network function expression is obtained by designing the matching network, and then the objective function is constructed. Monte Carlo algorithm is used to find the optimal solution of the matching network parameters to realize the broadband matching of a piezoelectric single crystal underwater acoustic transducer. By comparing the broadband matching of traditional piezoelectric ceramic transducer, the performance of single crystal material transducer is better after matching, that is to say, it can obtain good gain and broaden the frequency band at the same time. The whole matching process is simple and efficient, the matching effect is good. It provides a feasible reference for broadband matching of new single crystal underwater acoustic transducer.
Microchannel Heat Sink with High Thermal Conductivity Path for Diode Partially End-Pumped Slab Laser
Authors: Guo Zhanfeng , Wu Yongjin , Sun Yunna , Wang Yan , Ding Guifu 
Published: January 2021

Abstract
The thermal effect of diode pumped solid-state laser (DPSSL) has always been a main problem limiting the further improvement of laser performance. In this paper, based on the special heat load distribution of the laser crystal of diode partially end-pumped slab (Innoslab) laser, a multi-stage manifold rectangular microchannel heat sink (MCHS) with high thermal conductivity path (HTCP) is designed. The multi-stage manifold provides the MCHS more fluid-solid heat transfer area near the heat gathering area, while the HTCP provides a path for heat transmission from pump end to the body of MCHS. According to simulation calculation, the highest temperature of laser crystal has been reduced by nearly 50? due to the addition of HTCP. Then the MCHS is fabricated by MEMS technology and the laser crystal is replaced by simulated heat source. Compared with the MCHS without the HTCP, the thermal resistance of the MCHS with HTCP is reduced by 6.4%, which proves the effectiveness of HTCP in heat dissipation of Innoslab laser crystal.
Gamma Spectrum Measurement Following the Nuclear Decay
Authors: Shen Shuifa , Wang Feipeng , Yan Yupeng , Shen Jiejie , Li Yan , Jiang Haibing 
Published: January 2021

Abstract
In the present work, the detection systems and the data acquisition methods used in the nuclear decay study in our laboratory at Shanghai Institute of Applied Physics, CAS are introduced. These two detection systems include the low-background anti-Compton spectrometer and the three-parameter (γ-γ-t) coincidence system of HPGe-HPGe detectors, both of which are used to measure the γ rays following the nuclear β- and β++EC decays. In addition, as an example, the detection of γ rays following the β++EC decay of 74As, by using these two spectrometers, is described in detail.
Birdsong Recognition Based on Improved DTW
Authors: Jiang Hui , Qiao Qian , Zheng Hong , Wang Rui , Zhu Hanhao 
Published: January 2021

Abstract
In this study, the improved Dynamic Time Warping (DTW) algorithm is used in MATLAB to perform simulation classification and recognition simulation on the sounds of Nycticorax nycticorax and other 10 birds in the Wuzhishan Islands Reserve in Zhoushan, Zhejiang. By setting the slope of the path, the path is restricted in a fixed parallelogram. The algorithm combines with global restrictions can effectively speed up the path search, reduce the amount of calculation, reduce the memory requirements, reduce the recognition time, and thus improve the recognition efficiency. Experimental results show that compared with the traditional DTW algorithm, the improved DTW algorithm increases the recognition speed by 36.49%, the accuracy rate by 4.08%, and the recognition efficiency is greatly improved.
Geometrical Size Detection on Key Contours of Safety Seat Base
Authors: Chen Jiaxu , Lu Yonghua , Tan Jie , Ye Zhibin , Zhu Huayu 
Published: January 2021

Abstract
According to the plastic base without clear benchmark, the contour features are extracted by the image processing method such as image matching and feature extraction. With the reference of the waist groove, the measuring coordinate system is established. The coordinate transformation relation is determined by the calibration of visual inspection system. Thus, the geometric relation of the arc groove with respect to the measuring coordinate system is obtained. The geometric dimensions of the safety seat base are measured. The experiment result shows that the relative error of measuring the waist-shaped groove’s width is 2.7%, the one of measuring the length is 2.1%. And the relative error of measuring the arc-shaped groove’s width is 0.7%.
Research on the Maintenance Effectiveness Evaluation of Electronic Information Equipment
Authors: Cao Xianyuan , Wang Yande , Shi Zhiyong 
Published: January 2021

Abstract
An effectiveness evaluation model is provided considering the construction of effectiveness index system, index weight distribution and evaluation algorithm to help evaluate the electronic information equipment’s maintenance support effectiveness. The analysis results of an example demonstrate that the model effectively validates the effectiveness, reliability and consistency of the electronic information equipment’s maintenance support. Thus, it can work as the scientific basis of selections on the electronic information equipment’s maintenance support methods.
A Solution to an Extreme Value Problem in Discrete Geometry
Authors: Zhu Yuyang , Huang Jing , Yang Xingxing , Liu Xueling 
Published: January 2021

Abstract
Subdivide n-dimensional space En
into disjoint n-dimensional unit cubes, and let the set of these cubes be Λn. The vertices of each cube are called nodes. Let LPT
be the set of allcontinuous curve passing through node P(s1,s2
,…,sn)and nodeT(t1,t2
,…,tn) . ∀Γ ∊ LpT, α∊Λ
n
define the characteristic function of Γ to oc,

χ
Γ

(
α
)

=

{

0
,

when

μ

(

α
∩
Γ

)

=
0
,

1
,

when

μ

(

α
∩
Γ

)

>
0
,

Where μ(α ∩ Γ) is Lebesgue measure of point set α ∩ Γ. Name all its non-empty element as α
Γ(1),α
Γ(2),…,α
Γ(r(Γ)), and let λ
k(α
Γ(k)) be the weighting coefficients of α
Γ(k)(k=1,2…,r(Γ)) on Γ . This paper investigated the value of

Γ
∈

L

P
T

inf

{

Σ

k
=
1

r

(
Γ
)

λ
k

(

α

Γ

(
k
)

)

χ

(

α

Γ

(
k
)

)

}

, and by using discrete mathematics theory and construction method, proved that if all weighting coefficients are equal to 1, then max

{

m
1

,

m
2

,
⋯

m
n

}

≤

Γ
∈

L

P
T

inf

{

Σ

k
=
1

r

(
Γ
)

λ
k

(

α

Γ

(
k
)

)

χ

(

α

Γ

(
k
)

)

}

≤

Σ

k
=
1

n

(

−
1

)

k
−
1

Σ

1
≤

i
1

<

i
2

<
⋯
<

i
k

≤
n

gcd

(

m

i
1

,

m

i
2

,
⋯

m

i
k

)

Where

m
i

=

|

s
i

−

t
i

|

, i = 1,2, …, n. The paper also generalizes the result to a wedge-shaped case.
Mode Analysis Theory of Small Disturbance Operation Process of Power System
Authors: Zhao Yuxiao , Wang Yang 
Published: January 2021

Abstract
The power system currently has the problem that transient steady-state low-frequency oscillations after the power system suffers from small disturbances will affect the normal operation of the power grid. This paper proposes a model analysis of engineering mathematics for the power system’s small-disturbance transient low-frequency oscillations. First, this paper constructs the mathematical model and simplified model of the power system. Next, this paper calculates the initial steady state of the model and builds a linearized model. Then small disturbances are added to the model in order to simulate the transient steady-state process of a single-machine infinite-bus system under real conditions. Finally, the power system stabilizer (Power system stabilizer PSS) is designed through model analysis. Compared the transient steady-state process the PSS isn’t installed and the PSS is installed in the singlemachine infinite power system, we can get experimental results, which show that the power system can obtain a new steady state after receiving small disturbances and eliminating small disturbances in time. At the same time, the installation of PSS can effectively increase the stability of the power system and the tolerance for the existence of interference.
Legendre Spectral Method for the 1-D Maxwell Equation
Authors: Fu Ying , Ma HePing 
Published: January 2021

Abstract
A time and space Legendre spectral method is established for the 1-D Maxwell equation, that is, both the time and the space are discretized by the Legendre-tau method. The specific scheme of the method and the implementation process of the algorithm are given. Also, the time multi-interval method is considered and the specific scheme is given.By taking appropriate basis functions, the unknown functions can be decoupled in computation. Numerical results show that the two methods are efficient.
Mammograms Classification Using ELM Based on Improved Sunflower Optimization Algorithm
Authors: Sun Yeheng 
Published: January 2021

Abstract
To assist specialists in detecting breast cancer on mammograms with better accuracy and less time consuming, this paper proposes an approach based on improved sunflower optimization algorithm (ISFO) and extreme learning machine (ELM). Firstly, features were extracted by using lifting scheme and gray-level co-occurrence matrix (GLCM). Then, the parameters of ELM were optimized by (ISFO) to obtain the final classification results. Finally, in order to avoid overfitting, the proposed model’s performance was evaluated with k-fold random stratified cross validation, and the experiments compared the model with other models on MIAS datasets. The experimental results show that the proposed model has higher classification accuracy, shorter learning time and stronger robustness on mammograms classification task. Thus, this method could be a promising application in bio-medical and provide a basis for the early diagnosis of breast cancer.
Efficient Green Fluorescent Organic Light-Emitting Devices with Stepwise Energy Levels
Authors: Zhao Xuesen , Mi Xiaoyun 
Published: January 2021

Abstract
In our work, efficient devices with double-EMLs with step energy based on green fluorescent emitter C545T were reported. Due to the matched energy, TcTa and 26DCzPPy were selected as the host materials of double-EMLs. The devices with double-EMLs displayed more excellent EL efficiency and higher brightness compared with devices with single-EML, which attributed to better balance of carriers, broadening recombination zone. Finally, efficient green EL device obtained maximum CE, EQE, PE and brightness of 10.13 cd/A, 2.8%, 9.36 lm/W and 11490 cd/m2.
Order amidst Disorder in 2D+3D Quantum Dragon Composite Nanodevices with varying Breadth
Authors: Novotny M. A. , Novotný Tomáš 
Published: January 2021

Abstract
A disordered quantum dragon nanodevice from a composite of 2D and 3D graphs is constructed. The nanodevice has a different number of atoms in every slice, in other words has a varying breadth. When connected to appropriate uniform semi-infinite leads, the device is shown to be a quantum dragon, namely the transmission probability is unity for all energies of incoming electrons. The device shows order amidst disorder, in that the local density of states as obtained from the Green’s function is ordered for the disordered device. For additional uncorrelated on site disorder in the tight-binding model, universal scaling of the average transmission is shown to be an effective analysis method.
Simulation of non-equilibrium critical behavior of the 3D isotropic and anisotropic Heisenberg models
Authors: Prudnikov V V , Prudnikov P V , Pospelov E A , Lyakh A S 
Published: January 2021

Abstract
Monte Carlo study of non-equilibrium critical behavior of three-dimensional Heisenberg model in isotropic case and with anisotropy of easy axis type is carried out. Relaxational Glauber-like dynamics of these models with evolution from high-temperature initial state is investigated. Realization of aging is demonstrated for two-time dependence of the autocorrelation function and dynamical susceptibility. Asymptotic fluctuation-dissipation ratios are determined for isotropic X
∞ = 0.383(6) and anisotropic X
∞ = 0.392(7) Heisenberg models. Significant influence of easy-axis anisotropy on non-equilibrium critical behavior of the 3D Heisenberg model leading to characteristics typical for the 3D Ising model is revealed.
Non-equilibrium phenomena in magnetic multilayer nanostructures and aging in magnetoresistance
Authors: Mamonova M V , Prudnikov P V , Prudnikov V V 
Published: January 2021

Abstract
A Monte Carlo simulation of the non-equilibrium behavior of multilayer magnetic structures Co/Cu(100)/Co and Pt/Co/Cu(100)/Co/Pt characterizing different types of magnetic anisotropy is realized. Simulation of transport properties gives possibility to reveal a nontrivial aging effects in the magnetoresistance of these structures and influence of initial states on two-time dependence of magnetoresistance.
Identification of a current-carrying subset of a percolation cluster using a modified wall follower algorithm
Authors: Akhunzhanov Renat K , Eserkepov Andrei V , Tarasevich Yuri Y 
Published: January 2021

Abstract
We have proposed and implemented a modification of the well-known wall follower algorithm to identify a backbone (a current-carrying part) of the percolation cluster. The advantage of the modified algorithm is identification of the whole backbone without visiting all edges. The algorithm has been applied to backbone identification in networks produced by random deposition of conductive sticks onto an insulating substrate. We have found that (i) for concentrations of sticks above the percolation threshold, the strength of the percolating cluster quickly approaches unity; (ii) simultaneously, the percolation cluster is identical to its backbone plus simplest dead ends, i.e., edges that are incident to vertices of unit degree.
Simulation of hysteresis phenomena in multilayer magnetic nanostructures
Authors: Prudnikov P V , Prudnikov V V , Saifutdinov I K 
Published: January 2021

Abstract
The Monte Carlo simulation of magnetic properties of artificial multilayer nanostructures in which ultrathin ferromagnetic films divided by layer of non-magnetic metal and coupled antiferromagnetically is realized. The anisotropic Heisenberg model is applied for description of magnetic properties. Dependence of hysteresis phenomena on thickness of ferromagnetic films and various values of interlayer exchange interaction is revealed. It is shown that horizontal sections appearing on the hysteresis loops are connected with magnetization flips of individual monolayers in ferromagnetic films. It is revealed that number of the hysteresis loops depends on interlayer interaction and temperature.
Statistical Analysis of Protein Side-chain Conformations
Authors: Ignatov Andrei 
Published: January 2021

Abstract
In the paper, three algorithms for predicting protein side-chain conformations are suggested and discussed. All proposed approaches analyze the local neighborhood of the target residue to avoid ‘steric clashes’. Strong and weak points of the algorithms are described, and ways of improving their outcomes are suggested. The approach based on predicting conformations for all residues in a protein chain segment appears to be the most promising.
Globule-coil transition in the dynamic HP model
Authors: Faizullina Kamilla , Burovski Evgeni 
Published: January 2021

Abstract
We consider a dynamic version of the HP model of a linear polymer: a self-avoiding walk on the square lattice, with monomers being either hydrophobic (H) or polar (P). We simulate the model in two dimensions in the grand canonical assemble via the Berretti-Sokal algorithm across the globule-coil transition and map out the phase diagram. Our results are consistent with the universality class of the transition being the same as the universality class of the theta-transition of an interacting self-avoiding walk.
Galaxy Clusters Reconstruction
Authors: Zarodnyuk A , Trofimova E , Solovyov A , Gradoboev D 
Published: January 2021

Abstract
In the present work, we introduce a machine learning-based approach for galaxy clustering. It requires to determine clusters to provide further galaxies groups’ masses estimation. The knowledge of mass distribution is crucial in dark matter research and study of the large-scale structure of the Universe. State-of-the-art telescopes allow various spectroscopy range data accumulation that highlights the need for algorithms with a substantial generalization property. The data we deal with is a combination of more than twenty different catalogues. It is required to provide clustering of all combined galaxies. We produce a regression on the redshifts with the coefficient of determination R
2 equals 0.99992 on the validation dataset with training dataset for 3,154,894 of galaxies (0.0016 < z < 7.0519). The application of a modern hierarchical density clustering algorithm for the separation of the groups of the galaxies allows us to obtain a result that is consistent with the work [4].
Computer Simulation of Station Keeping Costs of Halo Orbits in Sun-Earth system
Authors: Nugmanov Arthur , Bober Stanislav 
Published: January 2021

Abstract
Spacecraft missions to the collinear libration points of the Sun-Earth system have long proved scientific merit by providing valuable observational data. The unstable nature of the orbits around the mentioned points in space requires the development of control strategies for such missions in order to hold the spacecraft in vicinity of the libration points. We investigate a possible control strategy for the spacecraft on the halo orbits around the L1 and L2 collinear libration points aiming to evaluate the station keeping performance. The station-keeping strategy is based on the elimination of unstable component of motion by periodical velocity corrections performed in unstable directions. The simulations were performed in circular restricted three body problem. The impact of spacecraft position and velocity measurement accuracy, as well as the precision of the control maneuvers, on the station keeping costs, was calculated and studied. It was found that the measurement accuracy of the velocity components of motion and the precision of control burns implementation have the highest impact on the performance of the control strategy.
Investigation of Filtering and Sensing Properties of Complementary Metamaterial Resonant Cells by Computer Simulation
Authors: Skuridin A A , Yelizarov A A , Nazarov I V , Zakirova E A 
Published: January 2021

Abstract
In this paper we propose a resonant structure based on complementary metamaterial that can be used to control and monitor parameters of a material under test. We used CST Studio Suite to create a computer model of the proposed device and simulate it performance. The performance of the sensor is characterized by its scattering parameters that can be calculated by simulation. The results obtained are then analyzed and used to derive the relation between the sensor’s resonant frequency and the characteristics of the analyte. The proposed resonant structure and method can be used for nondestructive evaluation of dielectric substances, defect control, monitoring and measurement applications.
Algorithm for foam generation in plane
Authors: Klimenkova Olga , Shchur Lev 
Published: January 2021

Abstract
We propose a novel algorithm for the construction of the sparse, nonetheless the massive and rigid structure. The generated structures possess two significant properties reminiscent of the metallic foams. Firstly, the weight of the structures can be as low as the percent of the bulk one. Secondly, the structures are mechanically rigid. The structures are necessary for the simulation of the physical models of the foam properties.
Deep learning based methods for estimating distribution of coalescence rates from genome-wide data
Authors: Khomutov Evgeniy , Arzymatov Kenenbek , Shchur Vladimir 
Published: January 2021

Abstract
Demographic and population structure inference is one of the most important problems in genomics. Population parameters such as effective population sizes, population split times and migration rates are of high interest both themselves and for many applications, e.g. for genome-wide association studies. Hidden Markov Model (HMM) based methods, such as PSMC, MSMC, coalHMM etc., proved to be powerful and useful for estimation of these parameters in many population genetics studies. At the same time, machine and deep learning have began to be used in natural science widely. In particular, deep learning based approaches have already substituted hidden Markov models in many areas, such as speech recognition or user input prediction. We develop a deep learning (DL) approach for local coalescent time estimation from one whole diploid genome. Our DL models are trained on simulated datasets. Importantly, demographic and population parameters can be inferred based on the distribution of coalescent times. We expect that our approach will be useful under complex population scenarios, which cannot be studied with existing HMM based methods. Our work is also a crucial step in developing a deep learning framework which would allow to create population genomics methods for different genomic data representations.
Molecular dynamics simulations of the Ba+ ion mobility in liquid xenon
Authors: Ozerov Georgiy K. , Bezrukov Dmitry S. , Buchachenko Alexei A. 
Published: January 2021

Abstract
Improved molecular dynamics approach is proposed to simulate the mobility of atomic ion in the non-polar solvents such as liquefied rare gases. The many-body solvent polarization is described in the dipole approximation as the Car-Parrinello degrees of freedom of the Nosé-Poincaré-Anderson extended Hamiltonian function for NPT ensemble. Separation of the dipole induction from other ion-neutral interaction terms retained in the force field is accomplished by reparameterizing the accurate ab initio potential energies for di- and tri-atomic fragments. Effect of the external electric field is treated perturbatively, by reconstructing the trajectories at a finite external field from those propagated in the field-free case. Mobility definitions that use ensemble averages of ion velocity and field-induced dragging force are analyzed together with their Green-Kubo counterparts. The simulations of the Ba+ mobility in liquid Xe are in good agreement with the experimental data [Jeng S-C et al. 2020 J. Phys. D
42 035302].