bluuebunny/crossref_metadata_2025_split huggingface dataset:
Muon Hunter: a Zooniverse project
Authors: Bird R. , Daniel M. K. , Dickinson H. , Feng Q. , Fortson L. , Furniss A. , Jarvis J. , Mukherjee R. , Ong R. , Sadeh I. , Williams D. 
Published: January 2020

Abstract
The large datasets and often low signal-to-noise inherent to the raw data of modern astroparticle experiments calls out for increasingly sophisticated event classification techniques. Machine learning algorithms, such as neural networks, have the potential to outperform traditional analysis methods, but come with the major challenge of identifying reliably classified training samples from real data. Citizen science represents an effective approach to sort through the large datasets efficiently and meet this challenge. Muon Hunter is a project hosted on the Zooniverse platform, wherein volunteers sort through pictures of data from the VERITAS cameras to identify muon ring images. Each image is classified multiple times to produce a clean dataset used to train and validate a convolutional neural network model both able to reject background events and identify suitable calibration data to monitor the telescope performance as a function of time.
Neutrino quantum decoherence due to entanglement with magnetic field
Authors: Stankevich Konstantin , Studenikin Alexander 
Published: January 2020

Abstract
Neutrino oscillations in a constant magnetic field are considered. The backward influence of neutrinos on the environment is accounted for using the density matrix formalism. The entanglement of neutrinos with the magnetic field can destroy quantum coherent superposition of different neutrino states and thus lead to the suppression of neutrino oscillations. The master equation for the neutrino density matrix accounting for the effects of quantum decoherence due to entanglement with the magnetic field is derived.
Neutrino oscillations in gravitational waves
Authors: Dvornikov Maxim 
Published: January 2020

Abstract
We study spin and flavor oscillations of neutrinos under the influence of gravitational waves (GWs). We rederive the quasiclassical equation for the evolution of the neutrino spin in various external fields in curved spacetime starting from the Dirac equation for a massive neutrino. Then, we consider neutrino spin oscillations in nonmoving and unpolarized matter, a transverse magnetic field, and a plane GW. We show that a parametric resonance can take place in this system. We also study neutrino flavor oscillations in GWs. The equation for the density matrix of flavor neutrinos is solved when we discuss the neutrino interaction with stochastic GWs emitted by coalescing supermassive black holes. We find the fluxes of cosmic neutrinos, undergoing flavor oscillations in such a gravitational background, which can be potentially measured by a terrestrial detector. Some astrophysical applications of our results are considered.
Gauge-invariant TMD factorization for Drell-Yan Helicity Structure Functions
Authors: Nefedov M.A. , Saleev V. A. 
Published: January 2020

Abstract
In framework of the Parton Reggeization Approach, we obtain gauge invariant hadronic tensor Wμν
for Drell-Yan process in Transverse Momentum Dependent factorization. We show that use of Fadin-Sherman effective vertex, which describes annihilation of Reggeized quark-antiquark into virtual photon, leads to new relations between Helicity Structure Functions

F

U
U

(

1
,
2
cos
ϕ
,
c
o
s
2
ϕ

)

and Parton Distribution Functions

(

f
1
q

(

x
,

q

T

)

,

h
1

⊥
q

(

x
,

q

T

)

)

in unpolarized proton-proton collisions. We estimate numerically relative contributions of parton number density function

f
1
q

(

x
,

q

T

)

and Boer-Mulders function

h
1

⊥
q

(

x
,

q

T

)

in the Helicity Structure Functions

F

U
U

(
1
)

and

F

U
U

(

cos
2
ϕ

)

at the kinematical conditions of the future collider NICA.
Fundamental operators in Dirac quantum mechanics
Authors: Silenko Alexander J. , Zhang Pengming , Zou Liping 
Published: January 2020

Abstract
Old achievements and more recent results in a solution of problem of the position and spin in relativistic quantum mechanics are considered. It is definitively shown that quantum-mechanical counterparts of the classical position and spin variables are the position and spin operators in the Foldy-Wouthuysen representation (but not in the Dirac one). The probabilistic interpretation is valid only for Foldy-Wouthuysen wave functions.
Deuteron analyzing powers in dp- elastic scattering at large transverse momenta
Authors: Ladygin V P , Averyanov A V , Chernykh E V , Enache D , Gurchin Yu V , Isupov A Yu , Janek M , Karachuk J-T , Khrenov A N , Krivenkov D O , Kurilkin P K , Ladygina N B , Livanov A N , Piyadin S M , Reznikov S G , Skhomenko Ya T , Terekhin A A , Tishevsky A V , Uesaka T , Volkov I S 
Published: January 2020

Abstract
The results on the vector Ay
and tensor Ayy
and Axx
analyzing powers in deuteronproton elastic scattering at large transverse momenta are presented. These data were obtained at internal target at JINR Nuclotron in the energy range 400-1800 MeV using polarized deuteron beam from new polarized ion source. New data on the deuteron analyzing powers in in the wide energy range demonstrate the sensitivity to the short-range spin structure of the isoscalar nucleon-nucleon correlations.
Constituent quark mass and spin in NRCQM model
Authors: Sukhoruchkin Sergey 
Published: January 2020

Abstract
We show that the success of the Nonrelativistic Constituent Quark Model can be associated with symmetrization, which manifests itself in the exact 3:1 ratio between the initial constituent quark mass Mq
= m
Ξ/3=441MeV and the parameter of quark interaction ΔM
Δ = (m
Δ − mN
)/2=147MeV. The interconnection of these parameters with the electron mass, its symmetry, the masses of the fundamental fields and the QED radiative correction is considered. The discreteness with the parameter me
can be used in the study of gravitation and dark matter problems.
Stability and deformation behavior of three-dimensional diamond-like carbon phases under compression
Authors: Rysaeva L. Kh. 
Published: January 2020

Abstract
Diamond-like phases which are three-dimensional carbon nanostructures consist of sp
3-hybridized atoms is of high interest in terms of their mechanical properties. The important issues are the stability of such novel structures and their deformation behavior under various conditions. In the present work, the molecular dynamics method is used to study diamond-like phases of two classes: fulleranes and tubulanes. Twelve stable structures are found Studying the deformation behavior shows that some phases have a very small elastic regime which not allow calculating elastic constants. Under hydrostatic compression, the main deformation mechanisms are changing the lattice parameters and valent angles. At high pressure, transformation to the amorphous phase takes place for several diamond-like phases.
Architecture of A Mobile Energy Internet
Authors: Liu Xianming , Liao Zhijun , Chen Jiangxin , Shen Hongjie 
Published: January 2020

Abstract
With the development of mobile energy storage technology, it is possible to build a mobile energy internet for the business purpose of energy internet. Now the research work of mobile energy internet is non holistic, so this paper propose a Architecture of Mobile Energy Internet (AMEI). Firstly, summarize the related work about electric power information, software defined grid and energy internet; then propose a architecture of mobile energy internet, aims to application of energy storage local area net and mobile energy storage; furthermore, discuss the key technology of AMEI, meanwhile give the analysis of ability and application value; finally give a example of prototype system to prove the feasibility of AMEI.
A Malicious Node Identification Method Based on Edge Computing
Authors: Xu Aidong , Cao Minggui , Liao Runfa , Zhang Yunan , Jiang Yixin , Chen Yi , Wen Hong , Du Jinran 
Published: January 2020

Abstract
Edge computing can meet the needs of many industries in real-time business control, security and privacy protection. In the process of massive heterogeneous terminals accessing the network through edge devices, it is very challenging to achieve fast and reliable authentication. The physical layer authentication technology authenticates through the channel characteristics, which has the characteristics of lightweight, and can well adapt to the authentication scenario of massive heterogeneous terminal access. In order to identify malicious nodes, this paper proposes an attack identification scheme of malicious nodes under edge computing. The new channel response information vector is constructed by using the correlation between the channel information of consecutive frames. Two or more time slot channel frequency response vectors are averaged to obtain a new channel response vector. It has the advantages of low computational complexity and high recognition accuracy. And combined with the channel frequency response based on the deep neural network to identify malicious nodes, the data set in the factory environment is simulated.
Research on Manipulator Stability Control
Authors: Chen Donghai , Tian Quan , Bai Dongxu 
Published: January 2020

Abstract
In order to have good accuracy, robustness and stability, it is necessary to control the manipulator accurately. But at present, for the precise control of manipulator, for the control mode and control system of manipulator, the research is not in-depth and perfect. This paper mainly summarizes the manipulator control system and control mode, and analyzes and summarizes the dynamics modeling, control accuracy, PLC control of the manipulator. At the same time, the control direction of the manipulator is prospected, such as cluster control, planning coordination control, autonomous motion control, etc.
Vehicle Network Security Situation Assessment Method Based on Attack Tree
Authors: Li Ruxiang , Li Fei , Zhang Jiayan 
Published: January 2020

Abstract
In order to solve the problem that the current vehicle network security situation assessment methods are seriously few, and the existing methods have low accuracy and are greatly affected by subjective factors, an attack tree-based vehicle network security situation assessment method is proposed. Firstly, the attack tree models are established to describe the network attacks the internet of vehicles may suffer from. Secondly, the security attributes of the attack path are determined, and each attack path is scored. At the same time, the fuzzy analytic hierarchy process is used to solve the weight values of each attack path. After that, weights and ratings are used to assess the security situation level of the threat. Finally, a comparative analysis of the security situation assessment with the analytic hierarchy process shows that the fuzzy analytic hierarchy process method can reduce the influence of human subjective factors and improve the credibility of the security situation assessment.
Energy-saving Performance Evaluation of Urban Rail Transit: A Time Schedule Perspective
Authors: Liu Jiang , Wang Qihan , Zhang Jiao , Xie Hao 
Published: January 2020

Abstract
Improvement of the cost efficiency of urban rail transit system has been a research focus in the past decade. The energy-saving capability generally consists of two levels. The macro level determines the train operation mode and the time schedule according to the traffic demand. The micro level calculates and tracks the energy efficient target speed profiles of the trains. Different from conventional evaluation works about the energy-saving performance, in this paper the evaluation in the macro level is concerned using a time schedule perspective, and the utilization of the advanced energy efficient traction control solution in the micro level is integrated to predict the achievable energy conservation capability. The relationship between the derived performance level and the schedule-related factors are investigated, including the average speed and spatial-temporal distribution of the passenger flow. Field data from Beijing Metro is adopted to validate the presented solution in evaluating energy-saving performance of the practical time schedule. Results show its potential in improving the environmental friendly characteristics of the urban rail transit system in the field operation.
Comparison of Indoor Wireless Signal Propagation Between Ground Plane Booster and Omni-Directional Patch Antenna
Authors: Horne C K , Rhym B M , Martin E 
Published: January 2020

Abstract
“Antenna-less” ground plane boosters maximize the contribution of wireless device ground planes to their radiating systems [1]. They have the potential to simplify wireless/mobile application design as replacements to customized, dedicated radiating antennas. Their multi-band capability and standardized low packaging profile lend to seamless printed circuit board (PCB) integration. The miniaturized, surface mount (SMD), commercial off-the-shelf (COTS) components may be a solution for the challenges of increasing frequency bands, reducing antenna space, improving wireless system performance, multiple and evolving wireless communication standards, and design and manufacturing efficiency. As wireless Internet of Things (IOT) applications and 5G mobile technology demand and enable ubiquitous, higher speed, and more reliable mobile communications, antenna system design becomes an even more challenging and critical engineering task. This study presents a comparison of RF signal strength received by a conventional, omni-directional patch antenna and an “antennaless” ground plane booster inside of a dense, suburban building.
Design of a Broadband Electromagnetic Signal Monitoring and Evaluation System
Authors: Zhao Jianhua , Yu Pengpeng , Zhao Lili , Zhou Xinsheng , Dong Qicai , Wang Ziru , Meng Xianglei 
Published: January 2020

Abstract
Communication signal reconnaissance and evaluation is the basis for the implementation of communication anti-interference. The design of broadband electromagnetic signal monitoring and evaluation system realizes the function of communication signal reconnaissance and evaluation through the monitoring, collection, analysis and storage of complex electromagnetic signals, providing a basis for the effective implementation of communication anti-interference.The wideband electromagnetic signal monitoring and evaluation system can monitor, collect, analyze and store complex electromagnetic signals, and has the function of communication signal reconnaissance and evaluation.
Research on Spatial Database Building Method Based on ArcGIS for AutoCAD
Authors: Zheng Hui , Liu Yanmin , Ma Xiaokang , Ke Junfei 
Published: January 2020

Abstract
Dwg file was widely used as the output file format of the surveying and mapping project produces at present. With the project amount of surveying and mapping increasing, it is necessary to establish a spatial database to scientific and unified manage various surveying and mapping thematic data results. When creating the spatial data based on the dwg file, the graphic information in dwg is extracted, and the attribute information corresponding to the graphic needs to be supplemented at the same time. This paper proposes a method of building spatial data based on ArcGIS for AutoCAD plug-in. This method can realize the unified management of graphics and attributes in CAD environment. Spatial and attribute information contained in the dwg file can be extracted quickly and accurately base on secondary development with ArcEngine, and the application value of the dwg file in the field of surveying and mapping was improved greatly.
A Point Cloud Optimization Method of Low Altitude Remote Sensing Image Based on Multi-channels
Authors: Huang Lei , Yang Nan , Zhang Yu 
Published: January 2020

AbstractThis paper presents a novel point cloud optimization method of low altitude remote sensing image based on multi-channels. The proposed method is designed to be especially effective for enhancing the accuracy of stereo matching. In order to fully exploit the information of multi-channel images, a weighted multi-channel intensity is employed instead of gray intensity. Then, an error equation is built to compute the optimal point according to the LSM method, space geometry relationship and collinear equation constraint. Compared with the traditional LSM method, the proposed method can achieve higher accuracy 3D point cloud data, since it can enrich the information conveys in the error equation and make the image matching robust. Comparison studies and experimental results prove the high accuracy of the proposed algorithm in low-altitude remote sensing image point cloud optimization.
Analysis of Spatial Indexing Mechanism and Its Application in Data Management: A Case Study on Spatialite Database
Authors: Liu Chengkun , Ma Rui , Zhang Li 
Published: January 2020

Abstract
Lightweight spatial database Spatialite is playing an increasing role in the current geographic information applications and other fields. This paper discusses the data organization and spatial indexing mechanism of Spatialite database in detail, studies the use of Spatialite database for data organization and index establishment, and utilizes the retrieval and spatial analysis methods supported by spatial index. The experiment takes urban pipeline data management as an example, through the visual application of urban pipeline data management in the 3DGIS environment, it provides a good solution for data management application of lightweight spatial database.
Detecting Abnormal Interactions among Intranet Groups Based on Netflow Data
Authors: Yu Tao , Yue Ruiqi 
Published: January 2020

Abstract
This paper proposes a method for detecting abnormal interactions among intranet groups based on netflow data. Firstly, the netflows of each group are aggregated, and two anomaly detection indicators are constructed, i.e., the group network traffic and the uncertainty of group network traffic distribution. Secondly, the time series of two anomaly detection indicators of each group are analyzed, and four prediction models are used for prediction. Finally, the best-performing model is selected as the prediction benchmark, and the difference between the predicted result and the real data is used to detect whether there is an interaction anomaly among groups. The experimental results show that the proposed method can effectively detect the abnormal interaction among groups in intranet.
Design of a Multi-Style Vector Modulation Interference System
Authors: Zhao Jianhua , Zhao Lili , Yu Pengpeng , Zhou Xinsheng , Dong Qicai , Wang Ziru , Su Lina 
Published: January 2020

Abstract
In order to solve the impact of the interference system on different connected devices and generate a variety of interference patterns, this paper proposes a multi-style vector modulation interference system design. The interference signal generated by the multi-style vector modulation interference device is amplified by power and sent The sub-band antenna, the antenna selects the interference direction under the control of the servo turntable and the control system, implements effective interference to the receiving equipment, reduces economic costs, and meets actual needs. The multi-style vector modulation interference system is composed of interference antenna, power amplifier, servo turntable and control system, communication interference equipment and related accessories. When the system detects the signal, the operating frequency, modulation mode, spectrum width, and other related signal parameters of the interference station are determined through analysis. Then the controller uses the modulator to select the best interference mode and select the frequency to the corresponding position. The high-frequency oscillating signal is used to modulate the interference transmitter, and the interference signal is amplified to the required power by the power amplifier. Finally, the energy is transmitted through the transmitting antenna. The servo turntable is rotated to drive the interference antenna to target the interference object to implement precise interference.
Extrapolated New Hermitian and Skew-Hermitian Splitting Method for Non-Hermitian Positive Definite Linear System
Authors: Xue Qiufang , Sun Xiaoqing , Xiao Yanting 
Published: January 2020

Abstract
Extrapolated new Hermitian and skew-Hermitian splitting method is presented for solving non-Hermitian and normal positive definite linear systems. We theoretically prove that this method is convergent in three different ranges of the parameters α and ω. Specially, the convergence results of the NHSS method are also obtained, which generalize the conclusions in [2]. The numerical example further verifies the results.
Evaluation on Spatial of National Land Development Pattern of Lanzhou-Xining Urban Agglomeration Based on Resource and Environment Carrying Capacity
Authors: Nie Xiaoying , Li Kaiming 
Published: January 2020

Abstract
The analysis of spatial of national land development pattern is of great significance for optimizing the layout of spatial of national land development and realizing regional sustainable development. The comprehensive evaluation on spatial of national land pattern of Lanzhou-Xining urban agglomeration can deepen the scientific cognition of rational spatial of national land development of regional urban agglomeration and provides a theoretical basis for space governance. Based on the actual situation of Lanzhou-Xining urban agglomeration, this paper analyzed the carrying capacity of resource and environment in counties and districts, clarified the spatial difference of carrying capacity of resources and environment, and proposed the characteristics of land development pattern of Lanzhou-Xining urban agglomeration. As shown by the results, the spatial pattern of the natural carrying capacity index is distinctly different, showing a decreasing trend from the study area center to the periphery and also from the east to the west; High carrying capacity potential areas are mainly concentrated in Lanzhou, Xining and their surrounding counties; the spatial difference in the comprehensive index of resource and environment carrying capacity is large, and the contribution of natural carrying capacity to the resource and environment carrying capacity is higher, the spatial distribution of high value area is more discrete, and the spatial distribution of low value area has obvious agglomeration characteristics.
Application Research of CG Painting in Digital Age
Authors: Wang Mo , Xing Song 
Published: January 2020

Abstract
CG painting is the collision and blending of contemporary technology and art. What attracts majority of art lovers and experts to dive deep are their unique artistic charm and new forms of expression. With the sustaining improvement of the hardware and the development of the new computer software, CG painting makes the development of contemporary art and future art more possible. This article mainly studies the CG painting’s artistic features; technology and application in the digital age, and put forward some suggestions to the development and establishment of present CG painting in our country.