bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Research of Infusion Monitoring System Based on OneNET Platform
Authors: Zhang Le , Wang Zhongwen , Xiu Xiang , Li Quanqiang 
Published: March 2020

Abstract
This paper proposes an infusion monitoring system based on OneNET platform, with Arduino as the core control device, infrared tube to detect the drop rate and number of drops of infusion, non-contact liquid level sensor to detect residual liquid level, load cell detection drug The weight of the liquid, OneNET as the host computer cloud platform, upload data through the ESP8266 module and parse the issuing command, drive the step-by-click to control the drop rate of the drug, and when the value exceeds the standard, the message will be automatically pushed, and the medical staff can grasp the patient infusion in time. The real-time situation ensures the safety and reliability of the infusion process.
Study on the coupling relationship between the efficiency of regional Sci-Tech innovation and Sustainable development
Authors: Zhang Yusheng 
Published: March 2020

Abstract
Based on the Slack Based Measure model and the coupling degree model, this paper calculated the efficiency of scientific and technological innovation and sustainable development of 13 cities in Beijing, Tianjin and Hebei from 2008 to 2017, and analyzed the coupling relationship between their efficiency. The results show that: 1) from 2008 to 2017, the scientific and technological innovation efficiency and sustainable development efficiency of the Beijing-Tianjin-Hebei urban agglomeration maintained an overall upward trend, and the overall coupling degree of the urban agglomeration was in a fluctuating growth trend; 2) the change process of coupling type from medium and low level coupling at the beginning to medium and high level coupling later. In addition, the coupling development level between Beijing and Tianjin is good, while Hebei’s overall level is low.
Research on Image Segmentation based on Full Convolutional Neural Network
Authors: Guo Yanan , Zhao Zengshun , Wu Zuohong 
Published: March 2020

Abstract
Image segmentation technology is an important branch in the field of computer vision. Image segmentation is the basis of image analysis processing, and image segmentation effect directly affects image subsequent processing. Aiming at the problem that the segmentation method based on traditional machine learning is not accurate, the edge information is lost and the robustness needs to be improved, this paper proposes an image segmentation algorithm based on improved full convolution neural network. The algorithm utilizes the better feature extraction ability of the deep learning model and the sensitivity of the cluster segmentation to the edge information, and further assists the segmentation with the Ncut algorithm. The experimental results show that compared with the traditional convolutional neural network image segmentation algorithm, the algorithm finally achieves higher segmentation accuracy. From the overall analysis, the segmentation method proposed in this paper is better than other methods.
Numerical Simulation Study on Mechanical Properties of Coarse-Grain Mixed Soil High and Steep Slope at Different Water Contents
Authors: Wei Jianfei , Liao Guangchen , Guo Yonggang , Wang Peiqing 
Published: March 2020

Abstract
In order to study the stability mechanism of coarse-grained mixed soil with high steep slope in different areas of water content in southeast Tibet, this paper takes a high-steep slope of Sejila Mountain in Nyingchi City as the research object, and the undisturbed soil configuration for on-site retrieval includes natural water content. Three kinds of soil samples with a rate of 6%, a water content of 3% and a water content of 9% were obtained by using the ABAQUS numerical analysis using the mechanical parameters obtained by the large-scale triaxial test to obtain the development of the plastic zone of the model. The high-steep slope is used to form the penetrating plastic zone and the calculation non-convergence is used as the safety factor for determining the slope instability. The characteristic point displacement is abruptly changed to the safety factor of the slope instability criterion, and the characteristics of high-steep slope failure are observed. And the sliding surface map and displacement change after numerical calculation to lose stability, analyze the safety factor that forms the through-plastic region as a standard, and the safety factor that does not converge to the force and displacement calculation. The high-steep slope can be known by numerical analysis. The numerical calculation of the natural moisture content gives the highest safety factor, indicating that the high steep slope is the most stable under natural moisture content.
A PAPR Reduction Method Based on the CT Codes
Authors: Deng Zaihui , Ding Sha 
Published: March 2020

Abstract
This paper proposes a Peak-to-Average Power Ratio (PAPR) reduction method based on the Chinese Transform (CT) codes intended for the Orthogonal Frequency Division Multiplexing (OFDM) systems. Based on the advantage that remainder is smaller than the corresponding modulus during the CT encoding, the proposed method adopts the strategy of dynamical controlling the dynamic range of the OFDM transmission signal at the front stage. The simulation results show that the proposed method is effective in reducing the PAPR of OFDM system.
A Vehicle Location Algorithm Based on Community Discovery
Authors: Yang Yang , Lin Fei , Yu Dingguo , Yang Chen , Lin Qiang 
Published: March 2020

Abstract
The group behavior of the vehicle can accurately describe the movement law of the vehicle in the vehicle network. A vehicle node with strong GPS signal in the Internet of Vehicles can use its communication capability and its neighbor positional relationship to calculate the position of a vehicle with a weak GPS signal located within a certain distance range and having the same or similar driving destination. The algorithm divides the vehicles with the same or similar destination destinations into the same community based on the destination of the vehicle, and then calculates the position of the vehicle that needs to be located, and corrects the calculation result. The experimental results show that the proposed algorithm reduces the positioning error by 15%-35% compared with similar methods. Under different traffic conditions, the stability of the algorithm is improved by more than 25%.
Exploring the Relationships between Impervious Surface Percentage and Frequency of Urban Waterlogging: A Case Study in Hanoi, Vietnam
Authors: Tran Ducthien , Xu Dawei , Dang Vanha , Fadelelseed Safa 
Published: March 2020

Abstract
In developing countries, rapid urbanization reduces the natural land area and increases the impervious surface. At the same time, urban rainstorm waterlogging is also becoming more frequent and serious. Therefore, one of the important works to be done is to elucidate the relationship between impervious surface expansion and waterlogging frequency (WF) causes of urban waterlogging. To move forward, we used ENVI to classify land cover types and applied the spatial analysis methods integrated in ArcGIS with internet open data to explore these relationships in Hanoi, Vietnam in 2018. The results show that waterlogging frequency was positively related to impervious surface percentage (ISP), indicating that if the median values of ISP increased then the waterlogging frequency would increase as well with a confidence level of 63.2%. This study demonstrates the importance for controlling the impervious surface expansion in urban waterlogging risk management and urban planning.
Current Situation and Development of Labor Capacity in Mining Industry in China
Authors: Liu Cong , Zhang Songyuan , Long Xiaobo , Wen Yiming , Ma Lei , Zhuang Hong 
Published: March 2020

Abstract
Cutting excessive industrial capacity is the main concern of mining industry. Reasonable labor capacity management aimed at mining industry is to accelerate its transformation and upgrading and provide a strong guarantee. In China, the development of labor capacity management in mining industry has gone through six stages. At present, we are in the transformation and upgrading stage. Now many provinces has issued the maximum number of people working underground in the company. Macroscopic labor capacity management is convenient, however, it cannot be adapted to various situations. Many researchers have done some research from its method and mathematical model. Mining workers’ physiology and psychological health have also been analyzed. But labor capacity management focuses on industrial policy orientation. Labor capacity management in mining industry involves many fields. Besides that, because of mining features, different geological conditions of mining, and production conditions, the labor capacity management needs government coordination. The database should be set up nationwide and policy orientation should be formed after experts’ analysis. Coal enterprises can also train special staff in charge of labor capacity management.
Study on Stability Analysis and Control Technology of Floor Rock Roadway in Dynamic Pressure Stope
Authors: Xu Xingfu , Liu Cong , Zhang Songyuan 
Published: March 2020

Abstract
Taking the floor rock roadway of 10414 working face of Yangliu Coal Mine in Huaibei as the engineering technology background, this paper uses theoretical analysis and numerical simulation technology to analyze the stability of floor rock roadway caused by stope mining. According to the dynamic pressure of stope, the support stage is divided into three stages: timely support scheme after excavation, pre-mining reinforcement support stage and post-mining repair support stage, and corresponding suggestions are put forward. Support scheme, through field practice, the overall maintenance of roadway affected by dynamic pressure is in good condition, the deformation of roof, floor and both sides are within the controllable range, and the roadway section can meet the requirements of normal use.
Control Technology of Overlying Roadway in 7m Goaf
Authors: Liu Cong , Liu Zhennan , Li Ji , Wang Meng , Cheng Yong , Qiu Pengrui 
Published: March 2020

Abstract
This paper takes Zhuxianzhuang Mine as the research background. In this research, the reasonable height of “three zones” of overlying strata at 7m mining height is determined by key strata theory, and the movement law of overlying strata is studied by FLAC3D numerical simulation. The stress, displacement and plastic zone of surrounding rock under the three schemes of no support, bolt support and roof support are compared and analyzed according to the site construction situation. On this basis, the regional treatment scheme is put forward. The test results prove that the adoption of staged process control technology and enhanced support technology can effectively control the surrounding rock deformation of overlying strata roadway, which is scientific and reasonable in technology and effective and feasible in construction.
Field Experimental Study on Mechanical Characteristics of Primary Supporting in Weak Surrounding Rock Tunnel
Authors: Wang Zhiqiang 
Published: March 2020

Abstract
Since the poor self-stability of weak surrounding rock when applied the full-face excavation in a tunnel construction, a large surrounding rock deformation are tended to occur, which causes a big security risk. Under the engineering background of gaojiaping tunnel of zheng-wan high-speed railway, the stress of surrounding rock, steel frame, initial shotcrete stress, bolt axial force and extrusion deformation of working face of the tunnel are monitored and analyzed respectively. The results show that the surrounding rock stress, steel frame stress and initial shotcrete stress of the tunnel are significantly affected by surrounding rock lithology and construction disturbance. The plastic zone of surrounding rock can be preliminarily determined as 3m according to the peak value of bolt axial force. The extrusion deformation of the tunnel working face shows that the surrounding rock integrity of the test section is good. The experimental study is helpful to collect the deformation of weak rock mass and provide reference for establishing scientific and reasonable support system.
Prediction and Analysis of the Axial Force of Pump-Turbine during Load-Rejection Process
Authors: Li Xiangyang , Mao Zhongyu , Lin Wenhua , Bi Huili , Tao Ran , Wang Zhengwei 
Published: March 2020

Abstract
Load-rejection is an important process of pump-turbine unit. In this process, hydraulic characteristics would change greatly. The axial force of runner and of the entire shaft system will be impacted. This study focuses on a prototype pump-turbine unit. The axial force of this unit during load-rejection is predicted and analyzed. The hydraulic transient analysis can give a more accurate boundary condition of pumpturbine. The computational fluid dynamics simulation considering the full leakage in runner crown and shroud can have a comprehensive prediction of the axial force. Results show that the rotation speed, head and flow rate change during load-rejection process. The axial force is also influenced and changes. The law of axial force variation has a strong relationship with the flow rate variation law. The internal flow analysis found that the pressure difference between crown leakage and internal-runner near outlet is the key factor in inducing axial force. This pressure difference is strongly influenced by runner internal flow regime. During load-rejection process, flow rate strongly varies and causes the huge change of internal flow regime. This is the main reason that runner axial force changes positive and negative alternatively.
Design and Implementation of ERP System Based on SSM Framework
Authors: Zhang Lina , Wang Changchun , Cao Jixiang 
Published: March 2020

Abstract
With the continuous development of enterprise information technology, information resource sharing has become a major subject of scientific research projects. Traditional enterprises have complex business processes, low management efficiency and high operation cost, which leads to enterprises of low competitiveness. Therefore, it is the best choice for enterprises to regain their core competitiveness to use ERP management system to improve their operation process, simplify their operation and make their operation methods transparent. This paper designs an ERP system based on SSM framework. This paper introduces the basic principles of SSM framework, respectively realizes the business functions of Controller layer, Service layer and DAO layer in the framework, and designs Web pages for data collection and display. The main components of the system consist of six modules: purchase plan, purchase order, purchase contract, purchase document inquiry, purchase to order and purchase return, which can well realize the actual requirements of enterprises.
Effects of Psychological Stress during Pregnancy on FE3 in Maternal Serum
Authors: Wang Qiyang , Ma Huizi , Zhang Ruoqi , Zhai Fengxia , Li Xinmin , Hou Junlin , Yang Liping 
Published: March 2020

Abstract
Objective: to investigate the effect of psychological stress during pregnancy on serum FE3. Method: symptom self-rating scale (scl-90) was used to evaluate the degree of psychological stress of pregnant women.The Free estriol (FE3) level in maternal serum was detected by particle chemiluminescence. Result: serum FE3 levels in pregnant women in the stress group were significantly lower than those in the control group (P < 0.05). Conclusion: psychological stress during pregnancy can reduce serum FE3 level.
Research on the Development of Petroleum Engineering Technology Public Service Market Information System in the New Period
Authors: Li Jinze 
Published: March 2020

Abstract
The paper analyses the business process of the oilfield engineering technology public service market information management system through UML modelling. Then, according to the work requirements of the engineering and technical management department staff of the oilfield branch, the performance requirements and functional requirements analysis were carried out. In particular, a detailed analysis of the functional requirements of each sub-function is performed. The experiment verifies that the information system can collect, integrate and analyse the business data reported by each unit in real time and conveniently. It can quickly and accurately form decision-making opinions and management methods, which greatly avoids the process error in the establishment of production capacity. The establishment of the engineering technology public service market information system provides greater power and service.
Study on Influencing Factors of Urban Land Use System Performance in Heilongjiang Province
Authors: Cui Mingxin , Xiao Yanling , Luan Shaochen 
Published: March 2020

Abstract
The paper proposes the concept of land use system that is considered as a whole of interaction among the three main bodies of government, enterprises and residents, land and nature. With the help of structural equation model, based on SPSS and AMOS software, according to the path coefficients of latent variables and observed variables in the model, the paper determines the impact process of 20 influencing factors at Heilongjiang Province at the government, enterprise and resident level on the economic, environmental and social performance of urban land use system. The results show that the main influencing factors are the importance degree that industrial enterprises attach to low carbon technological innovation, the government’s supervision and management on the pollution discharge of industrial enterprises, residents’ awareness of energy conservation and environmental protection. The system diagram and SEM realize the comprehensive design of the land use system in Heilongjiang, and take the interaction between the internal factors of the system into account.
Analysis of the current navigation environment and Countermeasures in the northern waters of Zhoushan
Authors: Chen Yijin , Yin Mingyu , Zhong Lufeng , Huang Jinjie , Wang Jiahong 
Published: March 2020

Abstract
with the vigorous development of Zhoushan port logistics industry, the rapid expansion of port shipping economy will inevitably lead to the problems such as the complexity of the ship type and the increase of the number of ships in Zhoushan waters. The continuous increase of the number of import and export ships to grasp the impact of the ship dynamics and tide in this area on the ships plays a crucial role in the navigation safety. This paper mainly aims at the existing navigation conditions in the northern waters of Zhoushan, analyzes the navigation environment, studies the representative ship types of the navigation ships in each main channel, the drift caused by the wind and current in the waters of each channel to the ship movement and the field conditions for the safe navigation of the ships, so as to understand and grasp the water environment of each channel and the whole channel in the northern waters of Zhoushan, and to protect the ships in the waters of the northern islands of Zhoushan. It is of great significance for ship navigation and logistics to be smooth and orderly.
A Study on Enhancing the Accuracy of P Wave Detection based on Double-Filtering Algorithm for Microseismic Signals from Underground Mines
Authors: Shi Yaqian , Zhang Da , Ji Hu , Dai Rui , Wu Yanbo , Wang Bin 
Published: March 2020

Abstract
Nowadays, intelligent mining is the global mining technology hotspot and the inevitable trend of mine development,especially in the environment where the safety, high efficiency and sustainable development of mines are directly restricted by the underground pressure disaster, which caused by high stress and mining disturbance. Microseismic monitoring technology is one of key technologies in underground pressure monitoring, which provides safety assessment on mine by analyzing microseismic signals to obtain their source location. The accuracy of P-phase onset time plays a key role in source location, where short term average/long term average (STA/LTA) method is the most wildly used method in P wave detection. However, the microseismic signal is too weak that can easily be affected by noise from underground mining, and STA/LTA ratio is also highly influenced. In this paper, a double-filtering algorithm based on band-pass filter and synchrosqueezing wavelet transform is proposed to remove the noise from field microseismic data. The results show that the double-filtering algorithm can greatly enhance the effect of STA/LTA, where more accurate P-phase onset time is obtained at the same time.
On Rural Tourism and Its Present Situation of Development in Jiangxi Province
Authors: He Jianbo , Wang Zhen 
Published: March 2020

Abstract
As a special tourist item, rural tourism is an emerging development direction of tourism industry in China. Combining agriculture with ecology and tourism, rural tourism takes advantage of rural landscapes, rural production, rural eco-environment as well as rural ecology pattern for the purpose of attracting tourists to sightsee, study, experience, etc. Jiangxi is a great province in both agricultural resources and tourism resources. Hence, it is abundant in rural tourism resources. Starting from general conceptions of rural tourism such as concept, characteristics and development process, the paper analyzes in details the overall situation and resource advantages of developing rural tourism in Jiangxi in order to establish foundation for future development of rural tourism in Jiangxi Province.
Differential Game Research Based on Industrial Poverty Alleviation in E-Commerce Environment
Authors: Sun Lulu 
Published: March 2020

Abstract
This paper studies the decision-making of poverty alleviation investment in the supply chain system composed of agricultural suppliers and e-commerce sales platforms. Using the method of differential games, the changes of the equilibrium results of supply chain members in two cases are investigated and compared. The research shows that Under the Nash non-cooperative game situation, government subsidies can improve the degree of poverty alleviation efforts and the optimal benefits of supply chain members. The government subsidy coefficient τ only affects the poverty alleviation efforts and total revenue of agricultural suppliers and e-commerce sales platforms, and has no effect on the promotion efforts of e-commerce sales platforms.
Compressive strength and thermal conductivity of metakaolin geopolymers with anisotropic insulations
Authors: Jaya Nur Ain , Yun-Ming Liew , Bakri Abdullah Mohd Mustafa Al , Hussin Kamarudin , Yong Heah Cheng , Bayuaji Ridho , Mohd Tahir Muhammad Faheem 
Published: March 2020

Abstract
This research investigated the properties of thermally insulating geopolymer prepared using waste filler (fibreboard and rubber) to act as anisotropic pore/insulation. The geopolymer matrix was synthesised using metakaolin and an alkaline solution consists of sodium hydroxide solution and sodium silicate mixture. Geopolymers with varying content (0, 3, 5 and 7 layers) of coin-shaped fibreboard and expanded polystyrene are produced to examine the anisotropic insulation effect on the material characteristics. The compressive strength and thermal conductivity were determined experimentally. From the results, it is proved that the use of anisotropic insulations can improve the thermal conductivity and minimizing the reduction of compressive strength. Geopolymer incorporated with fibreboard had better performance in terms of strength while geopolymer incorporated with rubber had better thermal conductivity.