bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distributed VOCs Gas Monitoring System in Large and Medium Cities
Authors: Wei Xinwei , Wang Yanyang , Xia Dingyuan 
Published: May 2021

Abstract
VOCs are the most important task of urban air pollution control at present, and its wide variety and emission range are important factors to produce haze. In this paper, a ladder distributed node network detection platform based on high performance electrochemical nanoarray gas detection chip and NB-IoT low power consumption is proposed. It is beneficial for environmental protection department to supervise VOCs, and reduce energy consumption while ensuring accuracy.
Research on Electromagnetic Wave Propagation and Optical Characteristics Based on Optical Transfer Matrix Method
Authors: Yan Zhang 
Published: May 2021

Abstract
The processing of electromagnetic waves by means of optical transmission matrix can be applied through multi-layer homogenization media, and finally real-time transmission can be realized. After that, it can derive the transmission matrix based on the interface and propagation matrix construction, and finally obtain the reflection and permeability coefficients. This article summarizes the content of the transmission matrix method based on previous work experience. The author discusses the propagation and optical characteristics of physical electromagnetic waves based on the optical transmission matrix method from four aspects: reflection-increasing film analysis, DBR design, reflectance calculation of fiber multi-directional laminates, plane wave propagation and reflection in the medium.
Welding procedure qualification of Q345 grade fire-resistant steel based on Jmat-pro calculation
Authors: Rongchun Wan , Yimeng Fang , Baoshan Cao , Qingyan Ma , Xun Gong 
Published: May 2021

Abstract
The welding process of two Q345 grade low Mo (about 0.25 wt.%) fire-resistant steels will be calculated and evaluated in this paper. The continuous cooling transformation (CCT) curve and isothermal transformation (TTT) curve of test steel were calculated by Jmat-pro software. The welding processes of steels were evaluated by measuring the continuous cooling transition (SH-CCT) curves of welding heat affected zone. The test results show that when the actual cooling time of Q1 steel is t 8/5>43s, cracking does not occur in the HAZ of welding and near the fusion zone, while when t 8/5<43s, cracking may occur in the HAZ or fusion zone; When the actual cooling time of Q2 steel is t 8/5>44s, cracking does not occur in the welding heat affected zone and the vicinity of the fusion zone, while when t 8/5<44s, cracking may occur in the heat affected zone or the fusion zone. In addition, Jmat-pro software has a certain accuracy for the calculation of Ac 3, but has a large error for the continuous cooling transformation (CCT) curve, especially the difference between the calculated value and the measured value of Q2 steel is larger, which only has reference value.
Design and implementation of spatial analysis module for forestry ecological engineering monitoring system
Authors: Yang Yuan 
Published: May 2021

Abstract
Spacial Analyst(SA)is the core technology of GIS and it’s also the technology which is different from other information systems. In this paper, the design of spatial analysis module is a sub-module of forestry ecological engineering monitoring system. in view of the forest is dispersed, vast and dynamic, the long-term characteristic, this paper designs its functions include digital terrain analysis, spatial characteristics of geometric analysis, statistical analysis, etc., and it briefly introduces the method and technical requirements of realization of each function module, the result is suitable for resourceful forestry workers are applied in the spatial data processing and analysis.
Qualifying the benefits of ride-sharing on reducing fleet size
Authors: Hao Shan , Liu Xinglu , Miao Lixin , Chan Wai Kin Victor , Qi Mingyao 
Published: May 2021

Abstract
Reducing the number of operating vehicles in cities has enormous significance on mitigating traffic congestion and environment pollution. Ride-sharing is an efficient way to reduce fleet size in urban areas. In this work, we propose two integer programming models to qualify the benefits of ride-sharing on reducing fleet size. The proposed models are solved by commercial solver Gurobi. Then we conduct a series of instances based on trip records of New York City to test the proposed models. Results indicate that without delaying drop-off times, the fleet size when considering ride-sharing remains almost the same as ride-hailing service for high-density travel demand settings. Whereas the fleet size drops sharply as the demand density decreases. In addition, the number of vehicles required is reduced by nearly 30% regardless of order density under ride-sharing assumptions when a slight delay is allowed.
Applying Residue Theorem to Compute Real Definite Integral
Authors: Dai Nanru , Zhang Yunxing 
Published: May 2021

Abstract
The Residue Theorem is one of the fundamental theorems in complex analysis. It can be used to integrate some types of real functions that are difficult, or even unable, to be expressed in terms of fundamental functions. This paper reevaluates the application of the Residue Theorem in the real integration of one type of function that decay fast.
Adversarial Facial Obfuscation against Unauthorized Face Recognition
Authors: Hao Jingbo , Tao Yang 
Published: May 2021

Abstract
To protect individual privacy from unauthorized face recognition based on DNN models, adversarial facial obfuscation tries to generate an adversarial image with a feature vector differing markedly from the original image in the embedding space and keep perceptually similar between the two images simultaneously. This paper makes a brief survey of adversarial facial obfuscation. The preliminary theory about facial obfuscation is introduced first. With regard to adversarial facial obfuscation, the most important implementation factors consisting of transferability, perceptibility and compression resistance are also presented.
Periodic Solution of Impulsive Predator-Prey Model with Stage Structure for the Prey undercrowding effect
Authors: Yan Yan , Wang Kaihua , Gui Zhanji 
Published: May 2021

Abstract
The theoretical aim of this paper is to study the existence of periodic solution in a predator-prey model with stage structure for the prey under the corresponding impulsive perturbations and undercrowding effect. For this purpose, Mawhin’s continuation theorem has been applied. As the result, the researcher of the paper found a sufficient condition of the existence of periodic solution. Finally, under impulsive control, numerical simulations are given to substantiate this theoretical result. Meanwhile, the phase portrait of this numerical simulations can illustrate various dynamical behaviors of the system.
Improved collaborative filtering recommendation algorithm based on user attributes and K-means clustering algorithm
Authors: Chen Lihong , Luo Yi , Liu Xudong , Wang Weijie , Ni Ming 
Published: May 2021

Abstract
Aiming at the problem of poor performance of collaborative filtering algorithm on data sets with large sparsity, this paper proposes an improved collaborative filtering recommendation algorithm which integrates user attributes and K-means clustering. When considering user similarity, the weight of user attributes is introduced to reduce the impact of data sparsity on similarity calculation. Meanwhile, the characteristics of user’s age, gender and occupation are concerned. At the same time, combined with K-means clustering, the algorithm can further improve the accuracy of the recommendation model.
A study on credit risk assessment and credit decision making based on micro, small and medium enterprises
Authors: Wang Jiachen 
Published: May 2021

Abstract
Micro, small and medium-sized enterprises (MSMEs) have flourished in recent years and are an important force in the composition of our economy, but they are naturally high in default, banks need to predict the credit risk of each enterprise in order to arrive at a safe, appropriate and efficient credit strategy. This paper mainly studies the data in the input invoices and output invoices of a company obtained by a bank. After screening, classification, and summary, the company’s profit rate and the stability of supply and demand are calculated, and then a regression model is established by combining the company’s reputation level and whether it is in default. This model helps banks predict credit risks and obtain credit strategies.
An Algorithm of Object Detection Based on Regression Learning for Remote Sensing Images
Authors: Wang Jiajia , Wu Ran , Yu Xiaqiong 
Published: May 2021

Abstract
Saliency detection method is widely used in the field of object detection. It can greatly improve the efficiency of detection by extracting the region that may contain the objects and reduce the processing of background area. It is very difficult to detect the airports in remote sensing image for its changeable structure and complex background. Considering this situation, this paper proposes a object detection method of saliency model based on regression learning, this method extracts salient regions that may contain airports, and then detects salient regions through feature bag model. Our method uses super-pixel segmentation, minimization of absolute shrinkage and selection operator and hierarchical learning theory based on back-propagation. The salient regions that contain potential objects are extracted and sent to the feature bag model for classification. and it can location the final objects. This paper constructs the airport training dataset and test dataset, and the experimental results fully prove the effectiveness and superiority of this method.
Vehicle Trajectory Extraction in Traffic Scene Based on Monocular Vision
Authors: Wang Ying , Zhao Liang 
Published: May 2021

Abstract
Accurately extracting the trajectory information of multiple vehicles in urban traffic videos is of great significance in applications. It can help analyze and predict drivers’ behavior, count road flow, and restore accident scenarios. However, due to the complexity of the interaction between vehicles and the environment, it is still a challenging problem to accurately extract the trajectory of multi-target vehicles in urban traffic scenes, which often requires the assistance of a variety of different devices, which increases the practicality and difficulty of application. A method is proposed based on the combination of detection and tracking. This method only needs to use a video stream captured by a fixed panoramic camera and the coordinate information of several feature points in the scene to extract the speed and trajectory information of the vehicle in the scene. Different optimization methods are used in each link to reduce errors, and build a simulation environment for the test scenario, reconstruct and verify the extracted trajectory information in the simulation environment. Experiments have proved that the effect of the method is basically satisfactory. It has the advantages of fewer constraints, convenient deployment, and accurate restoration while ensuring a certain real-time performance, which has practical engineering significance.
Make up for Anime Character with CycleGAN, BeautyGAN and U-GAT-IT
Authors: Chen Yijia , Gong Rui 
Published: May 2021

Abstract
Image-to-Image translation is a class of problems which aim to translate images from domain A into domain B. Some methods have been proposed to solve these problems, each of which being skilled in some specific tasks, e.g., CycleGAN for translating images into Monet style, U-GAT-IT for translating selfies into anime characters. This paper discusses how to finish an A→B task through combining an A→C approach and a C→B approach, and carries out experiments on generating anime characters with makeup from selfies combining CycleGAN, BeautyGAN and U-GAT-IT. The result shows that sequence is a key factor in our approach, and the reason why different sequences produce different results is analyzed.
Application and Simulation of Fourier Analysis in Communication Circuit
Authors: Jing Zhang , Binbin Tao 
Published: May 2021

Abstract
This article mainly studies the application of Fourier analysis theory in wireless communication circuits. Firstly, the relevant basic theories of Fourier analysis are introduced, including the decomposition of periodic signal, the modulation characteristic of Fourier transform, and the system function; then the relevant applications of Fourier theory in communication circuits are introduced, such as high-frequency resonant power amplifier, amplitude modulation, demodulation and mixing, low-pass filter. Finally, the application of Fourier theory in communication circuits is simulated and analyzed through Multisim circuit simulation software.
Application of principal component analysis in evaluation of epidemic situation policy implementation
Authors: Chen Jiaqi , Gong Fen , Xiang Shaojun , Yu Ting 
Published: May 2021

Abstract
In order to study the impact of various policies issued by the government on epidemic prevention and control, we first considered them from three aspects: the degree of leniency of policies, the degree of stringency of policy implementation and the degree of self-consciousness of individuals, broken down into 10 indicators, designed a questionnaire to collect relevant data. Using Principal Component Analysis (PCA), 4 principal components were extracted from 10 indexes, and the scores and total scores of each principal component were obtained. Finally, the corresponding suggestions are given.
New energy vessel routing and optimization for marine debris collection under uncertain environment
Authors: Wei Yue-jiao , Duan Gang , Tao Ling , Chen Xiao-hui , Fan Tao 
Published: May 2021

Abstract
In this paper, the method of logistics network is adopted to optimize the route of marine debris collection by liquefied natural gas hybrid vessels. We regarded the weight of marine debris as a random variable, took capacity constraint as chance constraint, considered tank capacity, time window and carbon emission constraints, and established a model with the objective of minimizing the total cost. After transforming the random chance constraint into a deterministic constraint, a large-scale neighborhood search algorithm was used to solve it. The model was verified by taking the Yellow Sea as an example, and the results showed that the best collection time can save 21.74% of total cost and 22.47% of travel time. Compared with pure diesel vessels, liquefied natural gas vessels can save costs by 32.98% and reduce carbon emission by 28.65%. Vessel types with the best capacity can save costs by 22.07% and reduce carbon emission by 25.53%.
A Differential Inequality for the Solution of Monge Ampère Equation on Riemannian Manifold
Authors: Xuemei Yu 
Published: May 2021

Abstract
In three-dimensional Riemannian manifolds with constant curvature, the elliptic Monge amp è re equation satisfying the homogeneous Dirichlet boundary value condition is studied. Under certain conditions, an estimate related to the solution of the equation is made, and a detailed proof of differential inequality is given.
Construction of Fungal Decomposition Model
Authors: Tang Zongxuan , Feng Zejing , Shi Shangyang , Zhang Linli 
Published: May 2021

Abstract
Fungi, as the key factor to decompose lignocellulosic fibers, play an important role in the carbon cycle of the whole earth, and are an important part of life on the earth. In this paper, we consider all kinds of factors affecting the decomposition rate of fungi, combined with Monod equation, and fit the linear relationship between the decomposition rate of a single fungal population and time through data; transform the temperature and humidity that independently affect the growth rate into a product relationship with higher coupling degree; establish a fungal classification model of competition among multiple populations, and extend the existing conclusions.
Study on Bending Beam Delayed Cracking of Ultra High-strength DP Steel for Automotive Use
Authors: Rongchun Wan , Yimeng Fang , Liming Fu , Baoshan Cao , Qingyan Ma , Xun Gong 
Published: May 2021

Abstract
Automobile lightweight project can effectively reduce energy consumption and exhaust emission, but it will reduce automobile safety. Therefore, using a large number of high-strength or ultra-high-strength steels in automobiles is an effective way to give consideration to both lightweight and safety. Delayed cracking is a symptom-free cracking phenomenon, which is extremely destructive. It is necessary to evaluate the delayed cracking performance of ultra-high strength steel before it is used. In this paper, the delayed cracking properties of three ultra-high strength dual-phase steels DP780, DP980 and DP1180 for automobile are studied by bending beam delayed cracking test. The experimental results show that the delayed cracking resistance of DP780, DP980 and DP1180 steel becomes worse in turn, and DP1180 steel has the worst delayed cracking resistance. In addition, the content and morphology of martensite will affect the delayed cracking performance. The morphology of martensite in the tested steel is lathy, and the higher the martensite content, the worse the delayed cracking resistance of the steel.
Analysis and Research Based on Automobile Battery Tester
Authors: Mingyu Lu 
Published: May 2021

Abstract
The car battery tester is an important equipment to detect the battery power and health status. The test methods are divided into two types: the traditional test method and the conductivity meter test. At present, most of the batteries in cars are lead-acid batteries. Its biggest feature is that the aging speed is too fast during use, especially when the battery capacity drops to 80% of its original capacity. Decline, although the electricity is not completely exhausted, and it can still supply energy, there is a risk of scrapping at any time. For the entire car, the role of the battery is very important and irreplaceable. Although the cost is not high, the status is not low. Through the analysis and research of the car battery tester, a simple and effective method can be obtained to detect whether the car battery is still good. Good preparations for replacing the batteries that will be scrapped in advance will help reduce car damage and contribute to the country’s GDP.
The Prediction of the Elevator Fault Based on Improved PSO-BP Algorithm
Authors: Bai Dingsong , An Ziliang , Wang Ning , Liu Shaofeng , Yu Xintong 
Published: May 2021

Abstract
In accordance with the problem of worst at the convergence of BP Neural Network, the elevator fault-prediction-model is proposed based on Improved PSO-BP Algorithm in this paper. The method uses mathematical operation mechanism to analyze the characteristic be studied. Then the prediction model of elevator fault based on the Improved PSO-BP Algorithm is established. This paper tests the same data by using different elevator fault prediction models. The experimental results show that the method has higher accuracy and convergence. This paper provides a method of fault prediction elevator reliability.
Improved strength and toughness of bioinspired Bouligand architecture composite by discontinuous carbon fiber
Authors: Zhang Xingyuan , Wen Zhen , Li Yongcun , Luan Yunbo , Zhang Qi 
Published: May 2021

Abstract
Strength and toughness are a pair of incompatible contradictions for most structure materials, and exploring the combined optimization strategy of strength and toughness of materials is a frontier research topic in the field of lightweight structure materials. Here, inspired by natural organisms, a novel hierarchical structure design scheme of the lightweight material that combines the helical layered Bouligand architecture inside the mantis shrimp rods with the “brick-mortar” staggered laminated structure of shell nacre was proposed. The deformation failure and energy absorption characteristics of this composite were compared with those of a single helical laminated structure material under bending load. It shows that, in the process of deformation and failure, the samples with both “brick-mortar” staggered laminated structure and helical laminated structure can improve their internal stress distribution and load transfer efficiency, alleviate local stress concentration and delay material failure, so as to realize the optimization of material strength and toughness. These research results have positive guiding significance for the internal structure design and performance optimization of lightweight and high-strength/toughness materials.
Design and analysis of positioning manipulator structure for vascular interventional surgery robot system
Authors: Yu Haoyang , Li Xiaolin , Yao Michenyang , Wang Hongbo , Niu Jianye , Chang Jingyuan , Wang Jiawei 
Published: May 2021

Abstract
The positioning manipulator is an important part of the minimally invasive vascular interventional surgical robot system. In order to make the surgical robot system have high safety, convenience and accuracy, this paper designs a modular light weight manipulator as a positioning manipulator, which is used to realize the positioning and movement of the propulsion device. First, according to the requirements of the operation, the degree of freedom and configuration method of the manipulator are determined, and the configuration design and parameter selection of the manipulator are completed. Then, according to the structural characteristics of the articulated robot, the D-H parameter method and the inverse transformation method are used to analyze the kinematics of the manipulator and its working space are analyzed. On this basis, the manipulator is analyzed by finite element and verified by static simulation. Finally, the positioning manipulator can realize the function of dragging in its working space by hand to achieve the target pose.
Quantum properties of two-dimensional linear harmonic oscillator in polar coordinate system
Authors: Xie Kaiqiang , Zheng Xingrong , Chen Jingtong , Li Yujie 
Published: May 2021

Abstract
Using quantum theory and MATLAB software, the basic properties of two-dimensional linear harmonic oscillators in quantum mechanics are systematically studied in polar coordinate system, and obtain the visualized results. The results show that, in polar coordinate system, with the exception of special case nr
=0, |m|=0, the degeneracy of two-dimensional linear harmonic oscillator is 2nr
+|m|+1, and the corresponding energy eigenvalues is ħω (2nr
+|m|+1). The number of intersection line between wave function and the plane with ψ=0 is 2nr
+m. In the case of nr
=0, the maximum number of probability density distributions is 2|m|. The results of this visualization are in complete agreement with the theoretical results. The visualization results in different coordinate systems can be verified with each other, which opens up a new research idea and also provides an idea for other quantum theoretical models to be studied.
Research on Characteristics of Hefei Road Traffic Flow Based on GIS
Authors: Jiang Shengyue , Lu Mingyu 
Published: May 2021

Abstract
Taking the whole road network traffic system in Hefei as the research object, based on GIS (Geographic Information System) traffic flow big data, this paper analyzes and compares the van aerde traffic flow model. The characteristics of urban road traffic flow are compared and analyzed according to road grades, working days, holidays and seasonality, which lays a foundation for further research on driving conditions and travel rules of automobile users in Hefei.