bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Ordos Model Based on Sustainable Development Perspective
Authors: Cao Tingting , Li Juan , Xu Yan
Published: October 2019

In order to achieve the sustainable development of the region, aiming at the ecological degradation characteristics of the soil matrix and climate control in the Ordos Plateau and the ecological environment caused by the single model. This paper analyzes the ecological degradation characteristics of the regional ecosystem, the restoration of different degraded vegetation, the soil complex Erosion management technology, regional ecological security technology,regional eco-industrial development and reconstruction of human settlements in five areas to carry out sustainable development model for the implementation of the model to provide theoretical and technical research ideas, and strive to weaken the local ecological degradation rate, Promote the adjustment of local industrial structure, enhance the local green economy development rate, accelerate social development and ecological civilization construction.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

In 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

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.
Detecting Financial Statement Fraud Using Random Forest with SMOTE
Authors: Ye Huanzhuo , Xiang Lin , Gan Yanping
Published: October 2019

The study explores the comparison of various classification models in detecting fraudulent financial statements (FFS). Due to the high-class imbalance in this unique domain, the samples chosen in existing researches tend to be processed not so realistically. Therefore Random Forest is adopted to learn imbalanced data, in addition, sampling with SMOTE. Some more effective measure metrics of performance are also added. The experimental dataset includes 11726 publicly available Chinese financial disclosures from 2007 to 2017, of which 1314 financial statements were accused of fraud by CSRC. The result shows that the Random Forest outperforms other algorithms: Artificial Neural Network (ANN), Logistics Regression (LR), Support Vector Machines (SVM), CART, Decision Trees, Bayesian Networks, Bagging, Stacking and Adaboost.
Study on the Applicability of Passive Millimeter Wave Imaging Technology in Real Fire
Authors: Li Chiyuan , Chang Lizhou
Published: October 2019

In the scene of the fire, fire fighting and rescue troubled firefighters quickly the main impediment to rescue trapped personnel is high fever of smoke and fire, existing hand-held infrared imaging devices are usually used to monitor the combustion temperature, to search for hidden fire action such as content, cannot penetrate smoke fire, fire inside the high temperature environment will also be harmful to its imaging effect. This paper design a paragraph 1 to fire for fire fighting and rescue typical application background of passive millimeter wave imaging, analysis of fire under the condition of the realization of the millimeter wave imaging technology means and interference factors, verification of millimeter wave smoke fire environment through typical performance, break through the limitations of the existing fire imaging technology, make up for the inadequacy of infrared imaging devices, can effectively improve the efficiency of reconnaissance, shorten the rescue time and improve the security of firefighters and trapped personnel.
Establishment of Open Service Platform Information System under the Background of Big Data
Authors: Zhang Qian , Li Pan , Lu Hong , Xia Jinsong
Published: October 2019

Based on the practical experience of establishing laboratory management information system, this paper discusses the reform of management information system under the background of big data. By analysing the requirements of laboratory management system, the model of information system is designed, and eight modules are realized, including open experiment, portal site, material management module, system maintenance, laboratory management, personnel management, equipment management and safety examination. Reservation management information system is built with Django framework of Python language and managed with MySQL database. The system realizes the digital management of the experimental reservation information, and improves the management level and work efficiency of the open service platform. The data generated by the information system is data mining by using WEKA software, data visualization is formed, and abnormal data are found and processed in time.
The Quantitative Machinery Decision-Making Strategy Model Based on Neural Network
Authors: Hao Yifei , Zhang Qian , Wang Bo , Xu Shenglin
Published: October 2019

High-frequency data and quantitative models are the hot issues in the machinery field. In order to build a quantitative strategy with steady returns and relatively low risks based on high frequency data, this paper establishes a quantitative machinery selection strategy based on difference flow and a time-selection strategy based on neural network. Through our research on China’s machinery market, we find that when using fund flow intensity as an indicator, the market yield of the portfolio with large capital flow is relatively high. After selecting some companies with potential upside, we used a neural network algorithm to predict the value between both sides. Using these technical indicators and historical information, we use neural networks to predict the next day’s closing value. Finally, we simulated the decision with Matlab, and analyzed the profitability and risk factors of our strategy in different periods of the machinery market, and drew the final conclusion.
Dynamic Sliding Mode Control of Gyroscopic Balancing Vehicles Based on Disturbance Observer
Authors: Shan JunLin , Wang LiXin , Yang YanLi
Published: October 2019

Gyroscopic balancing vehicle is a new means of transportation with flexible structure and environmental friendliness, which has broad application prospects. However, it is also a typical system of nonlinear characteristics, static instability and parameter uncertainty, making its balance control problem difficult to dealing with. Based on the Lagrange equation of the dynamics model for single-frame CMG, a dynamic sliding mode controller with disturbance observer is designed to solve the severe chattering in conventional sliding mode method by compensating the parameter variation and external disturbance. The simulation results show that the introduced method effectively suppresses the chattering phenomenon, and the dynamic performance of the system is improved at the same time, which further enhances the robustness and application range of the gyroscopic balancing vehicle.
Effects of Negative Stimulation After Exercise on Frontal Asymmetry in Unregular Exercisers
Authors: Wang Tengfei , Liu Guangyuan
Published: October 2019

As a signal to recognize emotion, the electroencephalogram (EEG) is used widely. Frontal asymmetry is not only related to emotion, but also affected by exercise. The purpose of our research is to explore the effects of exercise for negative emotion, and how the activity of the frontal of the college students who did not exercise regularly is. We used the frontal asymmetry between F3 and F4 channels of the alpha band. The result showed that the power of frontal asymmetry increased after exercise compared to that before exercise within 3 seconds after stimulation, and the change of the power during the 2nd second was more obvious. The activity of the frontal of the students without exercise habits can be altered by exercise. The frontal asymmetry is related to emotion, which confirms that exercise has an effect on the students without exercise habits after negative stimulation.
Research on Prevention Strategy of Flight Accident in Aviation Sports Based on Regression Analysis
Authors: Zheng Jiaxi
Published: October 2019

Flight safety is related to the development of aviation sports. The paper gives an overview of the regression analysis method. It systematically analyzes the main types of flight accidents in aviation sports, and obtains the types of factors that cause aviation sports flight accidents. The analysis method analyzes the factor data and proposes a prevention strategy for aviation sports flight accidents based on the analysis results.
Automation Design of Water Supply System for Residential Area
Authors: Yuan Yudong , Duan Zhongrui
Published: October 2019

Variable-frequency constant-pressure water supply system is gradually developed based on variable frequency speed regulation technology. In this paper, it is carried out of stepless speed regulation, constant pressure control and the soft starting of the water supply system by the combination of frequency converter and PLC. This control system is recommendable for its high stability, reliability and automation.
Design and Implementation of Embedded Web Server Based on ARM
Authors: Dong Yilan
Published: October 2019

This article selects the STM32F103C8T6 microcontroller based on ARM Cortex-M3 core and ENC28J60 with Ethernet module as the main hardware structure, and then accesses some peripheral hardware devices on STM32 microcontroller. Then introduce embedded technology and network interconnection technology, transplant UIP protocol stack to STM32 MCU, and transmit related information and data based on HTTP protocol to realize embedded Web server.
Switch On-off Automatic Detection Technology Based on Basic Model of Waveform Singularity Detection
Authors: Su Jinzhou
Published: October 2019

During the test of low-voltage switches, numerous waveforms are required to be collected and electrical parameters calculated. Traditional detection methods are inefficient and may result in operational errors. Since the sequencing of the test waveform array is converted to corresponding time points by the sampling frequency conversion, to realize automatic positioning of the cursor in waveform and automatic measurement of the electrical parameters, the key lies in the accurate detection of the singular position in the waveform array. This paper builds the basic model of waveform singularity detection based on the singular value decomposition (SVD) algorithm, integrates automatic detection into the electrical parameter test module, realizing the automatic detection of waveforms and parameters during the low-voltage appliance test. Meanwhile, starting from the automatic detection of the conduction time of the same test current when the alternating current contactor is switched on and off, the anti-interference ability of the model under different types of noise and different noise intensities are tested and analyzed. For all types of noise, reliable, uncertain, and unreliable detection zones exist in the automated detection results. When k (effective value of the noise / effective value of original waveform) is less than 10%, all types of noise can be detected in a reliable manner, which effectively J. van der Geer, J.A.J. Hanraads, R.A. Lupton, The art of writing a scientific article, J. Sci. Commun. 163 (2000) 51-59.
A high precision vehicle positioning method based on traffic light
Authors: Cao Yan , Li Guangan
Published: October 2019

According to the low positioning precision and high cost of traditional vehicle positioning technologies, and combined advantages of the newly arisen visible light communication like no extra transmitter needed, no electromagnetic interference and free license, this paper proposed a vehicle positioning method based on traffic light, which could generate the vehicle’s position with the time difference of arrival of the signal light. Also its improved methods based on plan revolution theory were discussed to overcome the deficient in non-coplanar condition and improve the positioning precision. Simulation results showed that these methods, with simple computation and low implementation cost, could realize a real-time high-precision positioning performance, and could meet the requirements of the intelligence transportation system.
Airport Bird Strike Risk Assessment and Research
Authors: Qiao Liang , Zhang Liang
Published: October 2019

Bird strikes occur frequently at airports throughout the country, which poses a serious threat to flight safety. Birds have different risks to aircraft because of their different characteristics and habits. Principal component analysis was carried out based on bird survey data of Zhuhai Airport to optimize the bird strike risk evaluation index system. FCM algorithm combined with Xie-Beni effectiveness index is introduced to construct the evaluation model. The analysis results show that the 29 common bird species of Xinzheng Airport in accordance with different level of risk can be divided into 4 categories, the analysis results provide a basis for the airport bird strike prevention work, and this is a simple and effective bird strike risk assessment method.
Research on Response Elastic Simulation and Optimization of Natural Disaster Emergency Supply Chain
Authors: Liu Dongmei , Wang Chunxi , Liu Xinmeng
Published: October 2019

China has a vast territory and a large population density. The frequent occurrence of natural disasters has caused enormous losses to the lives and property of our people. With the expansion of the connotation of rescue organizations, a cooperative relationship between rescue organizations and rescue organizations and commercial organizations to improve rescue efficiency and minimize losses caused by natural disasters has become a research in emergency supply chain research. New perspective. Through the construction of the natural disaster emergency supply chain elastic simulation model, the paper optimizes and analyzes the two strategies of fortification inventory and emergency procurement to obtain the optimal solution and proposes the elastic optimization strategy. With the dynamics of simulation, the simulation model of natural disaster emergency supply chain is established, and the elasticity is optimized as the optimization goal.
Comparison and Analysis of Air Quality Visualization between Beijing and Nanjing Based on R
Authors: Zhang Yan , Zhu Peng
Published: October 2019

With the continuous promotion of urban industrialization, urban air pollution problem is more and more serious. Therefore, carrying out real-time environmental testing and analysing the meteorological data have become particularly important for grasping the changes in the urban environment and solving the air pollution problem. This article uses R language to analyse the air quality data of Beijing and Nanjing in 2017 respectively. Compare and explore the reasons for the change in air quality and the differences in air quality between the two cities. The text is divided into four parts: Introduction - Research Status – The Data Acquisition and Analysis - Cause Analysis - Research Conclusions.
The Research on the Optimization Design of Guide System of Scenic Spot Based on Environmental Protection
Authors: Liu Zhenhu
Published: October 2019

The design of the guide system is an integral part of the construction of the scenic spot, which plays a vital role in the overall visual image of the scenic spot and the visitor experience. The research on the optimization design of the guide system of scenic spot revolves around “environmental protection,” “sustainable development,” “people-oriented” and “close to nature.” It integrates the vibrant and colorful geographical features of the scenic spot to create an environmentally and friendly guidance system. It can meet the standards of exquisite design, distinctive features, artistic sense, and integration with the environment.
Research on the Synergetic Development Strategy of Regional Logistics Economic Environment in Jilin Province
Authors: Liu Ziyu , Xiao Jing , Yang Yang
Published: October 2019

Under the policy of the Belt and Road Initiative, the logistics industry as a new service industry is booming, occupying a huge role and status in the economy and society, and the impact on the ecological environment is gradually emerging. Through qualitative analysis of the interaction of logistics, economy and ecological environment in Jilin Province, this paper summarizes the problems existing in the current logistics economy of Jilin Province, and adopts the grey correlation method to conduct an in-depth analysis of the relationship between logistics, economy and ecology in Jilin Province. And according to the relevance value, the influencing factors are ranked, which provides a basis for studying the synergy between regional logistics and economic development and environmental impact in Jilin Province. Finally, based on the research results, it provides guiding opinions for promoting the coordinated development of regional logistics, economy and ecological environment in Jilin Province.
Research and Application of Agricultural Green Logistics Development Evaluation Based on Comprehensive Evaluation Method
Authors: Liu Xiaoyan , Feng Miao , Fu Chaosong
Published: October 2019

With the increasing awareness of human protection of the environment and green consumption, the green logistics of agricultural products has developed rapidly. The green development of green logistics of agricultural products is of great significance in reducing environmental pollution and improving the living standards of residents. By analyzing the importance of green development of green logistics of agricultural products, based on research and actual research, selecting suitable factors for the green development of agricultural product logistics, and constructing comprehensive evaluation to evaluate the development status of green logistics of agricultural products, the development degree of green logistics of agricultural products in the stage The comprehensive evaluation method has reference value and practical significance.
Networks and Opportunities: A Digital History of Ireland’s Great Famine Refugees in New York
Authors: Anbinder Tyler , Gráda Cormac Ó , Wegge Simone A.
Published: October 2019

For decades, historians portrayed the immigrants who arrived in the United States in the mid-nineteenth century fleeing the great Irish Famine as a permanent proletariat, doomed to live out their lives in America in poverty due to illiteracy, nativism, and a lack of vocational skills. Recent research, however, primarily by economic historians, has demonstrated that large numbers of Famine refugees actually fared rather well in the United States, saving surprising sums in bank accounts and making strides up the American socioeconomic ladder. These scholars, however, have never attempted to explain why some Famine immigrants thrived in the U.S. while others struggled merely to scrape by. Utilizing the unusually detailed records of New York’s Emigrant Savings Bank in conjunction with the methods of the digital humanities, this article seeks to understand what characteristics separated those Irish Famine immigrants who fared well financially from those who did not. Analysis of a database of more than 15,000 depositors suggests that networking was the key to economic advancement for the Famine immigrants. Those who lived in residential enclaves with other immigrants born in the same Irish parish saved significantly more than other immigrants, and those who created employment niches based on an Irish birthplace also amassed more wealth than those who did not. The electronic version of the article provides easy access to the database and interactive maps, allowing readers to ask their own questions of the data. The article also fleshes out the life stories of many of the immigrants found in the database, using documents found on genealogy websites such as Ancestry.com. These handwritten census records, ship manifests, and bank ledgers are hyperlinked to the electronic version of the article. That makes this essay ideal for classroom use—students can move effortlessly to the documents that underpin each paragraph and see clearly how historians use archival evidence to formulate arguments and shape historical narratives.
Review of purchases of unapproved medications by the Veterans Health Administration
Authors: Carico Ron L , Emmendorfer Thomas R , Aspinall Sherrie L , Mizah Margaret T , Good Chester B
Published: October 2019

Purpose

Many medications that were marketed prior to 1962 but lack Food and Drug Administration (FDA) approval are prescribed in the United States. Usage patterns of these “unapproved medications” are poorly elucidated, which is concerning due to potential lack of data on safety and efficacy. The purpose of this project was to characterize purchases of unapproved medications within the Veterans Health Administration (VHA) by type, frequency, and cost.

Methods

VHA purchasing databases were used to create a list of all products with National Drug Codes (NDCs) purchased nationwide in fiscal year 2016 (FY16). This list was compared to FDA databases to identify unapproved prescription medications. For each identified combination of active pharmaceutical ingredient (API) and route of administration (“API/route combination”), numbers of packages purchased and associated costs were added.

Results

VHA pharmacy purchasing records contained 3,299 unapproved products with NDCs in FY16. After excluding equipment, nutrition products, compounding ingredients, nonmedication products, and duplicate NDCs, there were 600 unique NDCs associated with 130 distinct API/route combinations. The most commonly acquired product was prescription sodium fluoride dental paste (350,775 packages). The greatest pharmaceutical expenditure was for sodium hyaluronate injection ($24.5 million). Unapproved products accounted for less than 1% of overall VHA pharmacy purchasing in FY16.

Conclusion

VHA purchased many unapproved prescription products in FY16 but is taking action to address use of such products in consideration of safety and efficacy data and available alternatives.
Infective endocarditis caused by Streptococcus acidominimus
Authors: Kabbara Wissam K , Azar-Atallah Shirine
Published: October 2019

Purpose

A case of infective endocarditis caused by Streptococcus acidominimus is reported.

An 81-year-old Caucasian man underwent an elective transcatheter aortic valve implantation due to his severe aortic valve stenosis. He presented to the hospital 3 weeks later with a 1-week history of fever (39ºC) that did not resolve following a 3-day course of azithromycin and a 5-day course of ciprofloxacin. Three sets of blood sample cultures were taken. Empirical antimicrobial treatment was initiated to target gram-positive and gram-negative microorganisms and consisted of vancomycin 1 g intravenous (i.v.) every 12 hours and imipenem–cilastatin 500 mg i.v. every 6 hours. After 48 hours, the blood culture was positive for S. acidominimus. The strain was sensitive to ampicillin, cephalosporins, tetracycline, and vancomycin. It was resistant to penicillin, macrolides, trimethoprim–sulfamethoxazole, and fosfomycin. Transesophageal echocardiography showed a small mobile vegetation attached to the anterior mitral valve leaflet, along with mild mitral regurgitation. The patient was diagnosed with native mitral valve infective endocarditis, and imipenem–cilastatin was discontinued. The patient showed clinical and laboratory improvement during his 2-week hospitalization. A peripherally inserted central catheter was put in place, and the patient was discharged on i.v. vancomycin to complete a total of 6 weeks treatment, after which the infection resolved.

Conclusion

An 81-year-old man diagnosed with mitral valve endocarditis caused by S. acidominimus was successfully treated with vancomycin.
Immigration Influx as a Trigger for Right-Wing Crime: A Temporal Analysis of Hate Crimes in Germany in the Light of the ‘Refugee Crisis’
Authors: Piatkowska Sylwia J , Hövermann Andreas , Yang Tse-Chuan
Published: October 2019

This study examines the conditions under which increased immigration rates serve as a catalyst for right-wing politically motivated crime across 16 German regions. The main objective is to focus on regional immigration rates as a potential trigger for threat perceptions by not only testing their principal effects but also by considering their interactions with structural environments. The analyses are grounded in a quasi-experimental setting because Germany recently witnessed an increase in immigration, publicly referred to as the ‘refugee crisis’. The results reveal differences in the comparable models, insofar as high regional immigration rates are particularly associated with hate crimes during times of high immigration influx, illustrating how a signal event such as the ‘refugee crisis’ might trigger amplified threat perceptions.