bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complementary diagnostics of high-intensity femtosecond laser pulses via vacuum acceleration of protons and electrons
Authors: Vais O E , Bychenkov V Yu 
Published: November 2020

Abstract
Taking advantage of complementary measurements of the characteristics of both protons and electrons accelerated by a laser in a vacuum, we propose an advanced diagnostics of the parameters of the tightly focused high-intensity femtosecond laser pulse. The laser field description is based on Stratton–Chu integrals, which allow simulating laser pulses with different spatial–temporal profiles focused by an off-axis parabolic mirror down to the diffraction limit. The free particles, whose dynamics are calculated by the test particle method, are accelerated from a rarefied gas (almost a vacuum). We analyze the dependence of the particle spectra on the laser parameters: the laser peak intensity, focal spot size, and pulse duration. The results show that diagnostics obtained by simultaneously using protons and electrons allow increasing the estimation accuracy of measuring the focal spot size and the peak intensity and thus allow evaluating the laser pulse duration in the femtosecond range. Our proposal is a response to the urgent need to measure pulse durations in the focal spot for new PW-level class lasers of super-short duration up to ∼10 to 20 fs, which clearly demonstrate a current trend in laser technology.
Optical design and tolerance of a high efficiency laser polarization grating-polarization conversion system based and diffraction limited heads up display projector
Authors: Mousavi Fard Sayed Sajjad , Farhadian Amir Hossein , Abbasabadi Majid 
Published: November 2020

Abstract
In this paper, a compact and diffraction limited heads up display (HUD) image source is presented. The great benefit of this design is its diffraction limited optic, compacted structure, economic considerations, simplicity in manufacturing and high efficiency image quality. The innovation of this design is the use of a polarization grating-polarization conversion system (PG-PCS). This module transforms the unpolarized Gaussian beam to a linearly polarized beam and it simultaneously homogenizes the spatial intensity profile. With this module, it is possible to increase the efficiency of illumination and to utilize the ordinary micro LCD instead of using a digital micro mirror device (DMD) and liquid crystal on silicon (LCOS) micro displays. The diameter of the image plane is 76.2 mm (in accordance with conventional types). Our design yielded uniform illuminated image and its high efficiency facilitates display readability in see-through HUDs operating in high ambient light as well as low ambient light.
A high-sensitive methane measuring telemetry system based on a direct optical absorption technique
Authors: Dong Lulu , Yao Yongping , Zhao Yuqing , Cui Na , Liu Shande , Zhang Huiyun , Zhang Yuping , Xu Yan 
Published: November 2020

Abstract
In this paper, a reflective methane (CH4) gas telemetry system has been developed based on the direct optical absorption spectroscopy technique for an open light path. It can realize the real-time in-situ monitoring of CH4 gas within a range of 150 m. Considering the potential cross-interference effects of hydrocarbon gases in ambient air, a diode laser operating at a specific wavelength of 1653.7 nm is employed to target the strong CH4 absorption line in near-infrared region and therefore avoid the interference of water vapor absorption simultaneously. A measurement precision of 0.02 ppm within 40 m open optical path has been achieved over 30 h of continuous monitoring, indicating the excellent measuring sensitivity and stability of our telemetry system. Through the field test of leaked CH4 gas with a 150 m one-way open optical path, the developed CH4 telemetry system has proved to have great potential and reliability for environmental monitoring and remote gas detection in various industries.
1.3 μm passively Q-switched mode-locked laser with Fe3O4 nanoparticle saturable absorber
Authors: Zhang Huaiwei , Peng Jiying , Yao Jianquan , Yang Xiangpeng , Li Decai , Zheng Yi 
Published: November 2020

Abstract
Fe3O4 nanoparticles (FONP) are made into saturable absorbers and assembled into the resonant cavity, for the first time, and passively Q-switched mode-locked (QML) pulse output is realized in a 1.3 μm all-solid-state laser. When the pump power increases to 8 W, the repetition frequency of the Q-switched pulse increases from 47 kHz to 116 kHz, the pulse width changes from 1.137 μs to 767 ns, and the corresponding single pulse energy is 1.2 μJ. At the same time, the passively QML operation was observed on the oscilloscope, with a pulse repetition frequency of 154.5 MHz and a pulse width of 660 ps. Our experiments demonstrate that FONP exhibits good nonlinear optical characteristics in the 1.3 μm waveband, and has the potential to realize giant ultrashort and multiwavelength tunable pulse output in all-solid-state pulsed lasers.
Highly-precision sizing a single metal nanoparticle using a microcavity
Authors: Li Ling , Yang Wen-Xing , Shui Tao , Wang Xin , Li Xi-Yun , Wu Zhen 
Published: November 2020

Abstract
Precision measurement plays a very important role in many field including optics, astronomy, biochemistry, atmospheric science, environmental engineering, dusty plasma, etc. Here, we propose an efficient scheme to investigate the relationship between linewidth and radius of the metal nanoparticle (MNP) in a hybrid optical microcavity system that included a quantum emitters interacting with a MNP. By using detailed numerical simulations and analytical modeling, we find that the linewidth of the amplification window is sensitive to the radius of MNP. Subsequently, we discuss the application of such a hybrid optical microcavity system as a family of high-sensitivity sensor for measuring the tiny radius of the MNP. Using experimentally achievable parameters, we identify the detection sensitivity of the sensor can arrive at approximately 2.6 GHz nm−1. The present investigation provides a route toward guiding the design of sensitive devices.
Dual stream neural networks for brain signal classification
Authors: Kuang Dongyang , Michoski Craig 
Published: November 2020

AbstractObjective. The primary objective of this work is to develop a neural nework classifier for arbitrary collections of functional neuroimaging signals to be used in brain–computer interfaces (BCIs).Approach. We propose a dual stream neural network (DSNN) for the classification problem. The first stream is an end-to-end classifier taking raw time-dependent signals as input and generating feature identification signatures from them. The second stream enhances the identified features from the first stream by adjoining a dynamic functional connectivity matrix aimed at incorporating nuanced multi-channel information during specified BCI tasks.Main results. The proposed DSNN classifier is benchmarked against three publicly available datasets, where the classifier demonstrates performance comparable to, or better than the state-of-art in each instance. An information theoretic examination of the trained network is also performed, utilizing various tools, to demonstrate how to glean interpretive insight into how the hidden layers of the network parse the underlying biological signals.Significance.The resulting DSNN is a subject-independent classifier that works for any collection of 1D functional neuroimaging signals, with the option of integrating domain specific information in the design.
Research on Path Calculation and Simulation System of Variable Parameter Manipulator
Authors: Li Jiacheng , Yang Xiaoli , Wu Xian , Zhong Liangwei 
Published: November 2020

Abstract
The simulation software of manipulator is generally developed by manufacturers, and the products are only suitable for the specific company, but cannot be used in universal. Aiming at this problem, this paper establishes a mathematical model with attributes through parametric design. The standard D-H parameter method is used to model the kinematics of the manipulator. Based on the expert system, the intelligent path planning of the manipulator is carried out, and the trajectory control instructions of the manipulator are generated. According to the Monte Carlo method of point cloud, the workspace of manipulator is obtained, and the bounding box technology is used for real-time collision detection. Taking the welding work as an example, the parametric modelling and trajectory planning simulation of the manipulator are realized, and a general off-line programming platform is established.
Influences Analysis of Dynamic Response for Slope Supported by Frame with Anchors under Different Anchor Intervals
Authors: Feng Xiaojun , Ye Shuaihua 
Published: November 2020

Abstract
This article based on the practical engineering in the northwest loess area in China, considered the interaction and collaborative work of frame-anchor-soil, with the help of the finite element software ADINA, established a 3D finite element model of the frame prestressed anchor supporting slope system under earthquake action. In the model, the soil was simulated by elastic-plastic model, and a bilinear elastic model was used to simulate the anchor, friction-element was used to describe the interaction between soil and frame (beams, columns and retaining plate), the frame is simulated by a bilinear elastic-plastic model. By inputting bidirectional seismic waves, the dynamic response of the supporting system under different horizontal and vertical spacing of anchors was compared and analyzed. Finally, obtained the influence law of different anchor spacing on the slope seismic response.
Customer Classification Method of Logistics Enterprises Based on BP-AdaBoost
Authors: Shi Xianming , Li Guangning , Li Kang , Liu Junyan , Wang Rongcai 
Published: November 2020

Abstract
Effective customer classification is a key issue for logistics enterprises to carry out customer relationship management, which has been concerned and studied by relevant institutions. Based on BP and AdaBoost algorithm, a new customer classification method for logistics enterprises is proposed. First of all, the logistics customer value evaluation index system is designed, and the different customer characteristics are analysed. Secondly, in order to solve the problem of low accuracy of the traditional BP network, the AdaBoost algorithm is used to linearly combine the traditional BP network to produce a strong classifier. The simulation results show that the application of the new customer value classification method based on BP-AdaBoost in customer classification improves the classification accuracy.
Research on Class Combination Algorithm Based on Genetic Algorithm
Authors: Yan Linjing , Kong Xiangming 
Published: November 2020

Abstract
The scheduling problem is a typical multi-objective optimization problem, and the core problem involved is the problem of combining classes. On the basis of a comprehensive analysis of the problem of class combination, this paper establishes a mathematical model of the three-dimensional class combination problem according to the needs, and constructs the chromosome expression in the genetic algorithm, and obtains the optimal solution of the problem. Experiments show that this algorithm can effectively obtain the optimal three-dimensional class combination program, and has strong practicability.
Rule-based Data Quality Intelligent Monitoring System
Authors: Zhang Huayun , Wang Shaolei , Wang Xiang 
Published: November 2020

Abstract
The rapid development of Internet information technology brought great convenience to people’s lives and work, but it also brought the problem of information overload[l]. The data center is the middle layer that mediates the contradiction between the foreground and the background[2]. It provides a reusable, standardized, and agile multifunctional platform through the modeling of background data and the aggregation of data services to support the foreground for the demand[3] of quickly change according to market changes. Through the data center, we have opened up the data islands of each business system. However, when each business system uses data, it found that the data quality is poor, unstable, not timely, and inconsistent. Traditional cluster data quality monitoring has the characteristics of inconsistent data quality requirements for various services, difficult development, low processing efficiency, difficult maintenance, and insufficient intelligence.
Based on this situation, we design a data quality monitoring system based on rules and artificial intelligence. General users perform simple configuration on the interface to complete real-time online monitoring of data, and real-time statistics on the number of data quality problems and a detailed list for users to trace the cause of the problem and identify abnormal scenarios in advance. The comparison between experiments and mainstream products proves that the system has greatly improved in terms of user use and flexibility.
Pricing Research on Cloud Manufacturing Service Based on Game Theory
Authors: Han Tiaojuan , Lu Jianfeng , Qian Lin , Tao Li 
Published: November 2020

Abstract
The pricing of the cloud manufacturing service was critical for the success of service transaction. Firstly, based on the hotelling model, this paper discussed the pricing and revenue of providers on the cloud platform for service trading. In the cloud service transaction, the cloud platform is generally the leader of service providers. Therefore, we further proposed the stackelberg game model, in which the pricing of the manufacturing service was determined by the profit ratio of the cloud platform. Thirdly, basing on the utilization rate of the manufacturing service, we adjusted the determined pricing of manufacturing service dynamically to cope with unpredictable service demand. Finally, we compared the price and benefit between the proposed model and the traditional hotelling model. The result shows that the price and revenue of the manufacturing service are improved by introducing cloud platform. In the future, we should consider demanders’ revenue and other factors on the price.
Stiffness Identification Method of Simply Elastic Supported Beam based on First-order Modal Rayleigh Solution
Authors: Wang Shujuan , Qin Xuxi , Yu Limei , Tian Bing 
Published: November 2020

Abstract
In order to evaluate the support state of bridges with elastic supports, based on first-order mode Rayleigh solution, a stiffness identification method of elastic supports beam is proposed. The superposition displacement of static displacement and rigid body displacement under sinusoidal load is used as the vibration mode function. Based on the mode function, the calculation formula of the fundamental frequency for the simply supported elastic support beam is derived according to the Rayleigh method. The identification method of the support stiffness and beam stiffness of the elastic support beam is derived by using the measured frequency and the mode value. A precast box girder is analyzed by an example. According to the measured results and finite element results, the stiffness of the precast box girder and the stiffness of the laminated rubber bearing are identified by the stiffness identification method established.
Game Analysis on Managerial Entrenchment and Enterprise Investment Myopia
Authors: Li Meng , Li Bingxiang , Zhang Dan 
Published: November 2020

Abstract
We analyse the effect of managerial entrenchment on myopic investment behaviour and the corresponding response of shareholders using a two-stage signaling game model. From the dimensions of capability and job-switching costs, we categorize managers into three types: talented managers with high job-switching costs (M
TH), talented managers with low job-switching costs (MTL) and untalented managers (M
u). We determine a pooling equilibrium in which all types of managers prefer to select short-run projects under managerial entrenchment motivation. The results reveal that managerial entrenchment motivation and action will contribute to investment myopia. Furthermore, a partially separating equilibrium in which M
TL select short-run projects but M
TH and M
u select short-run projects emerges if the optimal subsidy is given to managers. Meanwhile, shareholders decide whether or not to retain incumbent managers according to the project yield
Lighting Design and Statistical Analysis on Sunshine Underground garage
Authors: Qu Wanying , Cheng Wei , Liu Congru 
Published: November 2020

Abstract
In view of the current status of underground garages, the underground sunshine garages are used in the architectural design. After the completion of Tongcheng Yuli community, the questionnaire survey and field measurement were conducted simultaneously. The statistical method was used to analyze the data and the conclusions are as follows: the illumination under skylight is higher. As the distance from the skylight is further away, the speed of illumination decline is first fast and then slow. An exponential distribution occurs. Lane illumination and distance is also exponentially. In the case of unilateral day lighting, the minimum illumination requirement is 301x, the distance limit is 14.5 meters and there are basically 2 columns. On both sides, the distance of the daylighting port is 30 meters, and there are basically four columns around. The comfortable condition are analyzed in the underground garage. This paper will provide reference for the design in the underground sunlight garage.
An Airport Gate Assignment Model by Considering Multiple Constraints Deriving from Business Rules
Authors: Zhang Jun , Yi Bin , Yu Baohui 
Published: November 2020

Abstract
Airport gate is the core resource for airport operation and organization, and thus an optimal airport gate assignment (AGA) schedule plays a critical role to ensure the high-efficiency airport operation. In this paper, considering the actual business rules of airport, the AGA problem is explored and a model based on the actual business rules of airport is established. The model aims to maximize the passenger docking rate and comprehensively considers several constraints deriving from business rules, such as the limitation of adjacent aircraft models, conflict of slide in and out and gate conflict restrictions. The actual business rules of airport are abstracted into the objective functions and constraints of the model. In view of the large-scale complicated combinational optimization problem deriving from the model, an improved immune genetic algorithm is designed to solve the model. Based on the traditional immune genetic algorithm, the proposed algorithm further integrates the variety of population, adaptive crossover probability and memory library to improve the solving efficiency. Moreover, a numerical experiment is designed by using the real-world data from Kunming Changshui International Airport. The experimental results indicate that the proposed model and algorithm have feasibility and effectiveness. The optimal assignment schedule has ability to increase the berth utilization ratio for both passengers and flights.
Regional Distribution of Tropical Agricultural Industry at Home and Abroad and Enlightenment to Hainan Agriculture
Authors: Zhang H. J. , Jiang J. , Wang C. L. , Sun H. Y. , Zhao J. M. , Huang H. L. 
Published: November 2020

Abstract
The layout and development of tropical agriculture is very important to the construction of Hainan Free Trade Port (HNFTP). Only by reasonably planning to the agricultural layout, the agricultural development could be promoted and met the needs of developing Hainan Free Trade Port (HNFTP). To scientifically and effectively plan Hainan’s agricultural spatial layout, this research thinks about the agricultural spatial layout of developed areas as a reference could be taken into consideration, and combine with the local characteristics, formulate guidelines, overall planning, and specific implementation.
The Model of How Languages will Develop
Authors: Sun W. , Wang J. , Zhang H. , Hou X. 
Published: November 2020

Abstract
The total number of speakers of a language may increase or decrease over time because of various and complicated influences. In this paper, we build the quantitative prediction model based on gray estimation, FCM model and geographical distribution prediction model to predict the distribution of language users. In addition, we conducted a sensitivity analysis of the model to facilitate future research.
Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China
Authors: Yin Zhicong , Ma Xiaoqing 
Published: November 2020

Abstract
Ground-level O3 pollution has become one of the most consequential air quality problems in China. Many previous studies have addressed the increasing trend of surface O3 concentrations in Eastern China. In this study, a new feature, i.e. the change in the dominant patterns of surface O3, was revealed, and the associated physical mechanisms were analyzed. The impacts of meteorological conditions and anthropogenic emissions were separated, and the change in the O3 dominant pattern was found to be mainly due to the variability in the meteorological conditions. From 2017 to 2019, the stable confrontation of the western Pacific subtropical high (WPSH) and East Asian deep trough (EADT) was closely related to the south-north covariant pattern of O3, because the variability in the meteorological conditions centered on the North China and Huanghuai regions. In the period of 2015–2016, the joint movements of the WPSH and EADT modulated the meteorological anomalies, creating a dipole mode in Eastern China that contributed to out-of-phase variations in O3 in North China and the Yangtze River Delta.
Polynomial algebras from su(3) and a quadratically superintegrable model on the two sphere
Authors: Correa F , del Olmo M A , Marquette I , Negro J 
Published: November 2020

Abstract
Construction of superintegrable systems based on Lie algebras have been introduced over the years. However, these approaches depend on explicit realisations, for instance as a differential operators, of the underlying Lie algebra. This is also the case for the construction of their related symmetry algebra which take usually the form of a finitely generated quadratic algebra. These algebras often display structure constants which depend on the central elements and in particular on the Hamiltonian. In this paper, we develop a new approach reexamining the quadratically superintegrable system on the two-sphere for which a symmetry algebra is known to be the Racah algebra R(3). Such a model is related to the 59 two dimensional quadratically superintegrable systems on conformally flat spaces via contractions and limits. We demonstrate that using further polynomials of degree 2, 3 and 4 in the enveloping algebra of su(3) one can generate an algebra based only on abstract commutation relations of su(3) Lie algebra without explicit constraints on the representations or realisations. This construction relies on the maximal Abelian subalgebra, also called MASA, which are the Cartan generators and their commutant. We obtain a new six-dimensional cubic algebra where the structure constant are integer numbers which reduce from a quartic algebra for which the structure constant depend on the Cartan generator and the Casimir invariant. We also present other form of the symmetry algebra using the quadratic and cubic Casimir invariants of su(3). It reduces as the known quadratic Racah algebra R(3) only when using an explicit realization. This algebraic structure describes the symmetry of the quadratically superintegrable systems on the 2 sphere. We also present a contraction to another six-dimensional cubic algebra which would corresponding to the symmetry algebra of a Smorodinsky–Winternitz model.