bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application study of self-made standard dust in atmospheric particulate monitor calibration device
Authors: Zou Junchen , Fan Wei , Wang Shusheng , Zhou Xingang , He Liren , Fan Zhenxing , Liu Huiyuan , Li Guoqiang , Wang Lin , Ma Zhenqi 
Published: October 2019

Abstract
The ISO12103-1 A2 test dust was used as the reference in the calibration device of the atmospheric particle monitor to investigate the performance of the self-made standard dust in this study. The result indicated that when the aerosol concentration of the calibration device was 500μg/m3,400μg/m3, 200μg/m3,100μg/m3 and 50μg/m3, the stability of self-made standard dust was close to the ISO12103-1 A2 test dust. In addition, when the aerosol with high concentration of 500μg/m3, medium concentration of 200μg/m3 and low concentration of 50μg/m3, the homogeneity and obtained concentration of the self-made standard dust and the ISO12103-1 A2 test dust evaluated by filter membrane sampling were not much differencd. Therefore, the self-made standard dust can replace ISO12103-1 A2 test dust to be used in the calibration device of particle monitor.
Complex Term Elimination of Time-Shift Signal Based on Frequency Domain Conjugate Pair Method and MATLAB
Authors: Gao Yunqi , Liu Zheng , Chen Xuan , Li Daoan , Zheng Yuanjian 
Published: October 2019

Abstract
This paper mainly describes that a signal displacement in time domain and DFT transform will produce complex exponential terms in frequency domain due to time shift. By constructing conjugate symmetry structure in frequency domain, the complex terms can fluctuate back and forth in order of 10−16 magnitude, which is called minimal complex terms. The real functions in MATLAB can eliminate 10−16 magnitude terms. The minimal complex term makes the real sequence approximate to the real sequence after translation in time domain.
Frequency Calibration Settings of FFT Spectrogram
Authors: Gao Yunqi , Liu Shuai , Qi Dehui , Yang Guang , Cui Yaning 
Published: October 2019

Abstract
This article mainly elaborated in the field of digital signal processing in, discrete signal do N point FFT transform, the frequency spectrum diagram shaft calibration set problem, researchers usually tend to be equal to frequency axis, but this may lead to frequency before and after the inconsistent problem, this article from the Angle of the sampling frequency and the odd-even N aspects carries on the analysis, get when the N is an even number shall be on the basis of the original minus fs
/2, when N is odd, should be on the basis of the original minus the [(N - 1) × f
2]/2N through such method can properly set spectrum frequency scale.
College Student Competition Recommendation and Development Planning Prediction Platform Based on BP Neural Network Algorithm
Authors: Huang Fulin , Zheng Zejun , Jiang Xuenan , Chen Jiayi , Liu Yi , Yang Qiulong 
Published: October 2019

Abstract
With the development of today’s society, the number of college students in China has steadily increased, and the number of college students is increasing. More and more college students choose to participate in competitions to improve their abilities. Therefore, our team has integrated the relevant competition resources of major universities and established a competition system with high efficiency, real-time interaction and high communication for the purpose of college students. The ordinary users are college students. In addition to registration, briefing, mutual help discussion forum and video broadcast of the event, the platform also provides users with professional classification based recommendation, college student development planning prediction, live broadcast, teammate recommendation, Special services such as rapid team formation, fast pipeline, experience sharing and authoritative guidance improve the user experience while simplifying the registration process. Form a unique platform for college students.
The antibacterial surface based on polymer brush
Authors: Xiang Lixin 
Published: October 2019

Abstract
The application of biomedical materials suffers from bacterial infection because of the adherent bacteria would form a biofilm on the surface of the material and cause a pathogenic infection, it creates huge challenges especially in healthcare, such as surgical equipment in hospitals and medical implants.In order to prevent the adhesion of nonspecificbacteria,the polymer brush has beenscouted and become a reliable way which has controllable brush thickness, strong mechanical stability andfurther modification potential. In this paper,we summarized the recent progress of antibacterial surface based on polymer brush. he preparation method of surface polymeric brush including the“graftmgto “and”graftmgfrom”method is expounded in detail.According to the mechanism of bacterial infection, there are three strategies to settle this problem.The first one is regulating the adhesion behavior of bacteria on the surface of materials to block the first step of infection. Then sterilization strategy using bactericide to kill bacteria adhering to the surface of the material directly. And the anti-adhesion bactericidal combination strategy has the advantage of sterilizing for a long time which can make up the shortcomings of the above two methods.However, it is still in the early stages of fully solving the problem,the long-lasting, efficient,and environmentally friendly antibacterial composite surfaces is in urgent need.
Study on the Influencing Factors for Emergency Rescue of Nuclear Leakage
Authors: Chen Changkun , Chen Qingzhong , Xu Tong , Chen Jie 
Published: October 2019

Abstract
In order to study the key influencing factors of emergency rescue for nuclear leakage, based on the five aspects of nuclear emergency capability, reactor characteristics, surrounding environment, weather and climate, and accident time, we constructs a Markov probability transfer model for the influencing factors of emergency rescue for nuclear leakage by combining the cross impact and Markov transfer prediction, and a gulf nuclear power plant is selected as an illustrative case. In addition, the initial probability matrix is reasonably determined by the expert scoring method, and the stable matrix which can reflect the stability probability of each factor is finally obtained after the cross impact analysis and multiple Markov state transitions. The results show that the probability of nuclear emergency capability is increased in the emergency response analysis of nuclear leakage incidents, which truly reflects the development direction and degree of cross impact. Furthermore, it provides reference opinions for the emergency response of nuclear leakage incidents in the future.
Research on Stage Division in the Ship Collision Avoidance Process
Authors: Hao Yanning , Zhao Yuelin 
Published: October 2019

Abstract
On the basis of analyzing the ship’s encounter, the meaning of the collision risk and the various stages of the ship’s collision avoidance are qualitatively and quantitatively analyzed, and the relevant recommendations for the division of the ship’s handling and collision avoidance phase based on DLMA are proposed. Provide a reference for the division of collision responsibility and ship maneuvering actions.
Image-Based Copy-Paste Tamper Detection Technology Based on Improved Surf
Authors: Hu Yanzhu , Wang Yingjian , Ai Xinbo 
Published: October 2019

Abstract
Aiming at the problem that the existing copy-paste tamper detection algorithm has poor detection effect on the image area, and the speed is slow, an image region copy-paste tampering detection algorithm based on improved SURF is proposed. The detected image extracts feature points by improving the fast Hessian matrix, and uses k-g2NN method to match the feature points, then estimates the affine transformation parameters between the matching points, and combines the R-RANSAC and SPRT to eliminate the mismatch and finally obtain the copy-paste area. The experimental results show that the proposed algorithm can accurately locate the image copy-paste tampering region, and has strong robustness to Gaussian blur, rotation and scaling operations, and the detection speed is greatly improved.
Recycling and Treatment of Waste Batteries
Authors: Li Hongting , Dai Jingui , Wang Aimin , Zhao Songlin , Ye Huiru , Zhang Jie 
Published: October 2019

Abstract
Various types of batteries are widely used in daily life, and a large number of waste batteries will eventually be produced. Waste batteries will cause serious environmental pollution. At present, the main treatment methods of waste batteries are incineration and landfill, solidification treatment, manual sorting, wet recovery technology, dry recovery technology and bio-metallurgical technology. In this paper, several disposal methods of waste batteries in recent years are illustrated.
Urban Planning and Design Based on the Concept of Ecological City
Authors: Yao Pei , Tan Fuqiang 
Published: October 2019

Abstract
Under the call of a resource-conserving and environment-friendly society, urban ecological civilization construction has the same status as economic construction, political construction, cultural construction, and social construction, which has led to the transformation of urban planning and design ideas in China. In view of the grim situation of current resource shortage, serious environmental pollution and degraded ecosystem, it is extremely urgent to integrate ecological civilization construction into urban planning. Based on this, the thesis will carry out urban planning and design under the concept of eco-city. It is hoped that the article can be used together with the scholars to discuss the relationship between ecological connotation, eco-city and ecological aesthetics, and the construction of eco-city planning index system for eco-city planning. Construction advice and suggestions.
A Survey of Heavy Metal Pollution in Waste Brick Factory
Authors: Cao Tingting , Li Juan , Shi Chendi , Guo Zhen 
Published: October 2019

Abstract
Dust pollution and waste pollution caused by abandoned brick factories have been widely concerned, but their soil pollution to production and operation sites has been neglected. In this paper, the detection of chromium, nickel, copper, zinc, arsenic, cadmium and lead heavy metals in the waste brick plant soil, the content of Cu, As, Cr and Zn has far exceeded the soil environmental quality standards, which is potentially harmful. This study provides theoretical support and scientific basis for the development and utilization of abandoned brickyards.
Piston Fire Rescue Robot Arm Design Specification Introduction to the Work
Authors: Wang Chang , Tang Bo , Cai Yemingxin , Wang Di , Ma Jian , Li Yikuan , Zeng Fanrui , Liu Yiwei , Chen Xuejiao , Li Hongxia 
Published: October 2019

Abstract
At present, there is no research and development of personalized escape and rescue mechanical products based on arm loads. Firstly, according to the complex and diverse actual situation, the functions of the arm-mounted multi-functional robot arm and the mechanism and device required to realize the squat function are determined; then, the two-dimensional design and three-dimensional modeling of the overall structure and main components are carried out. Finally, considering the various factors, the arm-mounted multi-functional mechanical arm that combines the advantages of the rope-type bionic mechanical gripper is designed. The arm-mounted multifunctional machine the arm can be used for self-help, help or rescue in sudden disasters such as earthquakes and fires. The article proposes a new type of piston fire rescue robot arm. When the house collapses in rescue, it can not only serve as a rescue bracket, but also prevent danger and obstacles caused by wall collapse. It can also be used as a broken window tool. Smoke; can also help rescuers to enhance their mobility and support, save time for rescue, is a very practical rescue mechanical design.
Research on the Choice of E-commerce Logistics Mode from the Perspective of Environmental Protection
Authors: Liu Lili , Zhang Fan 
Published: October 2019

Abstract
The continuous deepening of environmental problems has had a great impact on people’s lives. Due to this situation, this protection has been highly valued by various countries in the world. Based on past work experience, this paper summarizes the structure and distribution problems of e-commerce enterprise logistics distribution under environmental protection, and makes reasonable selection of logistics distribution mode, perfects logistics distribution infrastructure, realizes low-carbon transportation, and pays attention to logistics distribution. The informatization construction discusses the countermeasures for logistics distribution of environmental protection e-commerce enterprises.
Jilin Province Cold Chain Logistics Informationization & Low Carbonization Helps Rural Revitalization
Authors: Zhang Xiaoming , Yang Yang , Li Jingrui 
Published: October 2019

Abstract
As an important work of agricultural modernization, logistics informatization has been incorporated into the work of rural revitalization. At present, the development of rural low-carbon economy has been put on the agenda. In order to improve the rural ascension environment, a series of major decision-making arrangements such as “Internet+” action and mass entrepreneurial innovation are actively implemented to promote the deep integration of the Internet and modern agriculture and activate rural resources. The elements will enhance the driving force of agricultural development, fully stimulate the rural mass entrepreneurship, and innovate the vitality of the people, and accelerate the structural reform of the agricultural supply side. Jilin Province is a large agricultural province in China. It has the nation’s leading agricultural planting base and processing capacity, and has many well-known brands and geographical indication products. With the continuous advancement of the national “Belt and Road” strategy and the deepening of the application of the Internet model in the field of agricultural logistics, the development of the cold chain logistics industry needs to provide a basis for agricultural industry marketing. In combination with the demand of Jilin Province in the development of cold chain logistics, Jilin Province agricultural product cold chain logistics optimization system should establish a multi-level cold chain logistics system structure, promote the development of cold chain logistics enterprises, strengthen the construction of overseas cold chain logistics parks, and establish multi-channel cold. Chain logistics fund support system.
Simulation Analysis on Noise Reduction Effect of Sound Barriers with Different Geometric Shapes for High-Speed Train
Authors: Liu Gengfei , Wang Ruxiao , Liu Xiaori , Li Su , Tong Chang 
Published: October 2019

Abstract
In order to study the noise reduction effect of different geometrical sound barriers on high-speed train aerodynamic noise, simulation studies were carried out on three shapes of sound barriers. The RNG k-epsilon turbulence model was used to calculate the aerodynamic drag of the high-speed train. Based on the large eddy simulation LES method and the FW-H acoustic analogy equation, the pulsating pressure of the train was extracted as the far-field noise source, and the noise reduction capabilities of the upright, semi-circular, and quarter-circular sound barriers were compared. The results show that the semi-circular sound barrier has the largest average insertion loss in far field, and its frequency response characteristics present the best match to the aerodynamic noise of high-speed train. Therefore, the semicircular sound barrier has the best noise reduction effect.
Dueling Double Deep Q-Network for Adaptive Traffic Signal Control with Low Exhaust Emissions in A Single Intersection
Authors: Fang Shu , Chen Feng , Liu Hongchao 
Published: October 2019

Abstract
In order to reduce traffic exhaust emissions caused by the large quantities of vehicles, this paper studied the traffic signal control (TSC) model with low exhaust emissions on the basis of the deep reinforcement learning. In this study, the Dueling Double DQN with prioritized replay (DDDQN-PR) algorithm we proposed was combined with the Double DQN, Dueling DQN, and prioritized replay to achieve the goal of low exhaust emissions of TSC. The agent was trained in traffic simulator USTCMTS2.1 in a single intersection. The experimental results show that the performance of DDDQN-PR was significantly better than the other four algorithms, not only in data efficiency but also in final performance.
The Mechanical Analysis of Sn-Base Bump
Authors: Yang Jun , Yao Quanbin , Lin Pengrong , Lian Binhao , Wang Shengjie 
Published: October 2019

Abstract
In this paper, the mechanical properties of multiple Sn - based bump are compared. In the experiment, the bumps with different contents of lead, such as 90Pb10Sn of high lead, 60Pb40Sn of medium lead, 37Pb63Sn of low lead and Sn 1.8 Ag of lead-free were selected to investigate the influence of lead-tin content ratio on mechanical behavior. After the preparation of whole bumps, high-temperature storage tests were carried out for different bump, and then the shearing stress test through pushing ball was carried out for the all bump at different timeline, and the morphology of the shearing end face was observed.
A Particle Swarm Optimization Algorithm Based on Dynamic Adaptive and Chaotic Search
Authors: Zhuo Wei , Yu Xuejun 
Published: October 2019

Abstract
Although the particle swarm optimization algorithm has the advantages of fast convergence, easy to use and strong versatility, the algorithm also has the defects of low search precision, poor local search ability and easy to fall into local optimal solution. Therefore, this paper proposes a particle swarm optimization algorithm based on dynamic adaptive and chaotic search to ensure the global search ability of the particle swarm while avoiding falling into the local optimal solution. The experimental results show that compared with the comparison algorithm, the DACSPSO has stronger global search ability, higher convergence precision, and can effectively avoid premature convergence.
A False-name-proof Combinatorial Auction for Resource Allocation in Cloud Computing
Authors: Zhang Genzhou , Zhao Yongzhu , Guo Yuntao , Fang Tao , Ren Xiaolong , Wang Xiaoming , Wang Lin 
Published: October 2019

Abstract
Cloud computing is an Internet-based computing and network model, which provides a market for sharing computing and storage resources. To motivate the cloud providers, the allocation of resources and their pricing becomes one of the challenges in this market. In this situation, designing auction-based mechanisms for cloud resource allocation have attracted a wide interest. Most of prior works focus on designing strategy-proof (a.k.a. truthful) cloud auction mechanisms to eliminate market manipulation. Strategy-proof auctions ensure that no bidders can improve their utilities by untruthful bidding. However, these strategy-proof auctions are fragile when false-name-bids are allowed. This is a new type of cheating where a bidder can gain profit by submitting bids using multiple fictitious names, and it is easy to form in cloud environment. Therefore, a new series of auction mechanisms are needed to guarantee the false-name-proofness. To tackle this issue, in this paper, we designed CACC, a combinatorial auction for resource allocation in Cloud Computing. To address the heterogeneity of cloud resource, the combinatorial auction model is adopted. We show CACC is both strategy-proof and false-name-proof. Moreover, CACC is computationally efficient. Through simulation experiments, we show that CACC is effective and efficient.
Incorporating Frame Image and Frame Sequence into Ensemble Learning Networks to Improve the Accuracy of Physical Bullying-Detecting Model
Authors: Wang Runqian 
Published: October 2019

Abstract
In this research, a convenient, reliable, and fast system is built for violence detection in schools. This system includes two independent model designed separately for detecting violence in videos and pictures. This ensemble learning structure allows the system to be more accurate and less dependent on the background, or, minimize the influence of changing circumstances. The reason is that the image-identifying network did better on classifying the image, while the video-identifying network can minimize the influence of the background by using optical flow. Therefore, by combining them together the total accuracy increases and the dependency on environment is minimized. The video-identifying model was based on Darknet19, ResNet, optical flow and LSTM. Optical flow could eliminate the background’s influence by extracting moving features. The image-identifying model was based on ResNet. ResNet was tested and selected from 3 different popular networks due to its high accuracy. The system was trained and tested on data from various datasets online as well as different videos and pictures from multiple sources. The final system achieves an accuracy of 90.90% from multiple-sourced videos, and is visualized for a more straight-forward result. The final test shows that the system not only has a high accuracy, but also can process data with an astonishing speed of 75 FPS (frames per second), which is about 3 times faster than normal videos. All of these imply a high practical value of the final system.
A Novel Facial Expression Recognition Method for Identifying and Recording Emotion
Authors: Wei Ziqi 
Published: October 2019

AbstractIn this study, an accurate, innovative, and real-time emotion recognition and recording system based on novel deep learning techniques is proposed. A nine-layered convolutional neural network (CNN) is built with the addition of backpropagation (BP) to increase accuracy and Haar-Cascade with Open Source Computer Vision (OpenCV) for frontal face detection. In past research, mass datasets for investigations into emotion are often collected through case studies, surveys, or naturalistic observations. Due to their subjective nature, these studies often yield biased results. Through the use of facial recognition software trained with the Adam optimizer and evaluated on Kaggle’s Fer2013 public dataset, this CNN can recognize six universal emotions – happiness, sadness, anger, fearful, surprise, and disgust – with the addition of neutral for other or no emotion. After training, this method has reached a train accuracy of 95% and a test accuracy of 53.55%. In addition, the system uses an unprecedented method that creates a graph demonstrating the short-term fluctuation of emotion on a millisecond basis. The final emotion value of each short-term evaluation will appear in a separate file to document long-term emotional status. Aside from software, a smart mirror including a camera and a LED Electronic Screen is built for real-time feedback of people’s emotional states. Every 100 millisecond, a label and an emoji will appear on the mirror to create an easily accessible and entertaining form of emotion detection.
Numerical Simulation Analysis for ABS Bracket Based on MPI Technology
Authors: Dang Chun , Liang Feng , Li Chunbo , Fu Xuelong 
Published: October 2019

Abstract
Numerical simulation for ABS bracket based on Mold Plastic Insight (MPI) technology was carried out to analyze the injection process of ABS bracket, and its injection system was also established correspondingly. In accordance with the structure characteristics of plastic part, the perimeter cooling system was optimized. The molding parameters such as melt front temperature, shear rate, weld lines and plastic deformation were systematically analyzed in order to shorten the mold manufacturing cycle and increase the relative efficiency. The objective of this paper is to assess the accuracy of numerical simulation results, and forecast the internal defects of plastic parts.