bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of Heat Transfer Coefficient of PV/T-SAHP Heat Pump System
Authors: Zhou Xingcao , Wu Zezhong , Wang Jigang 
Published: June 2020

Abstract
In order to facilitate performance research and control strategy formulation, Elman neural network is used to predict heat transfer coefficient of heat pump, which is convenient for dynamic modeling of PV/t-sahp system. The accuracy of the prediction model was verified by selecting typical sunny and cloudy days. The experimental results show that the maximum relative errors of the predicted values in sunny and cloudy weather are 5.4% and 7.2% respectively. The mean relative errors were 2.57% and 2.69%, respectively. The results show that the prediction model of Elman neural network proposed in this paper is more accurate and can better simulate the actual operation, which can provide technical support for the follow-up research.
Experimental study on asynchronous injection-production in horizontal well area of low permeability reservoir
Authors: He Yanping 
Published: June 2020

AbstractSince 2006, a horizontal well area of low-permeability reservoir has experienced the stages of water injection efficiency and comprehensive adjustment after water breakthrough, and the formation pressure has gradually recovered. The relation curve between water cut and recovery percent shows that the development effect of horizontal well zone is obviously better than that of vertical well zone. However, with the increase of the number of the water breakthrough horizontal wells and the adjustment times, the water injection cycle is gradually shortened and the water control cycle is extended. At the same time, the adjustable direction is reduced after water breakthrough, and the contradiction between water supply and water cut is prominent. It is very difficult to stabilize the liquid and control the water in the water cut stage of the horizontal well by conventional single water injection adjustment. Therefore, asynchronous injection-production test is carried out for horizontal wells with multi-stage and multi-direction water breakthrough. It adopts the method of “no production during injection and no injection during production”, plays the role of “dialysis production and effective displacement”, reduces the water cut of oil wells, and excavates the remaining oil between wells. Through numerical simulation and comparison of different injection and production cycle schemes, and through multiple rounds of field tests, the injection and production parameters of asynchronous injection and production tests are continuously optimized as injection 3 and production 5. After the horizontal well is opened, the liquid supply capacity of well is enhanced, the remaining oil of matrix is produced, the water cut is reduced to low water cut, and the oil is increased averagely by 222t of single well, which has achieved good results. It can provide reference basis for water flooding adjustment for the same type of reservoir in the future.
Study Influencing Factors for Energy Consumption of Office Buildings in Severe Cold and Cold Region, China
Authors: Ding Zequn , Zhu Hongqing , Zhou Weiye , Liu Junliang , Bai Zhigang 
Published: June 2020

Abstract
The paper analyzed and studied the factors that affect the energy consumption of office buildings, and some suggests were put forward according to the analysis. Through orthogonal experiment the research selected the exterior wall heat transfer coefficient, exterior window heat transfer coefficient, lighting power density, electricity density, air conditioning system form to analyze and study. Although the ranking factors affecting two models are different, but through the analysis found that the air conditioning system is the greatest impact factor, followed by the lighting equipment, after that is envelope.
Coal Mine Safety Evaluation Based on EWM-Fuzzy comprehensive evaluation Method
Authors: Sun Ling 
Published: June 2020

Abstract
In view of the difficulty in identifying the risk factors in coal mine production system and the subjectivity and complexity of the evaluation methods, a safety evaluation system based on entropy weight method and fuzzy comprehensive evaluation method is proposed. Firstly, the entropy weight method is applied to determine the objective weight of the secondary index of the four mines, which overcomes the disadvantages of strong subjectivity and incomplete information degree. Then the fuzzy comprehensive evaluation method is used to obtain the weight of the first level index, and the safety evaluation value of the whole system is obtained.
Research on Special English Teaching and New Technology Development Based on New Energy Materials
Authors: Zhu Min 
Published: June 2020

Abstract
As a national strategic emerging industry specialty, new energy materials and devices focus on the cultivation of university students’ innovative ability and international competitiveness. Combining professional characteristics and major problems in professional English teaching, explore an open “international conference” teaching model to build a “student-oriented” classroom. Under the guidance of this model, professional English courses, with a focus on both the professional foundation and applied practice, are mainly project-driven learning, which stimulates students’ ability to use professional English in many aspects.
Research on the Influences of Addition of Biodiesel on the Equilibrium Concentrations and Thermodynamic Properties of Combustion Products for Conventional Diesel Fuel
Authors: Han Lei , Shen Haosheng , Zhang Chuan , Yang Baicheng 
Published: June 2020

Abstract
To deal with the increasingly stringent energy crisis and atmospheric pollution problems, biodiesel is regarded as one of the alternative biofuels with great potential for replacing the conventional diesel fuel, thus it is necessary to investigate the influences of addition of biodiesel to conventional diesel fuel on the combustion products. To this end, Jatropha biodiesel is taken as an example and under the assumption that all the combustion products are at chemical equilibrium, a system of nonlinear equations with the equilibrium concentrations of 10 combustion products as the unknown variables is constructed based on the equilibrium constant method and the numerical solutions are obtained by applying Newton-Raphson iterative method. On this basis the influences of biodiesel blending ratio on the equilibrium concentrations of the combustion products and the thermodynamic properties of burned gases mixture is investigated. The simulation results show that the addition of biodiesel does not cause significant influences on the equilibrium concentrations of combustion product, and as the three major greenhouse and poisonous gases, the relative changes of equilibrium concentration for CO2, NO and CO are less than 3.52% but with unclear trends and the influence is more significant at the “fuel rich” condition; on the other hand, the mass-based combustion products rates of CO2, NO and CO for a unity of blended fuel mass increases with blending ratio. For the thermodynamic properties of burned gases mixture, it is observed that both the constant-pressure and -volume specific heat increase slightly. The model presented here can be integrated into the engine dynamic simulation model conveniently, which lays the foundation for investigating the influence of addition of biodiesel on the engine power, economic and emission performance.
A New Characterization of Hamilton Groups with the Smallest Order
Authors: Lu Peng , Lu Bo 
Published: June 2020

Abstract
Let G be a group and τe(G) the set of numbers of elements of G of the same order. In this paper, by τe(G), we get a new characterization of, where Q
8 is the Quaternion group of order 8. We get the theorem following: Theorem. Let G be a non-abelian group, G≅Q
8 if and only if τe(G) = τe(Q
8) = {1,6}.
High-Speed Rail Express Business Forecast Based on Improved Logit Model for Analyzing the Market Prospect of High-Speed Rail Express Business in Hub Cities
Authors: Zhang Xiaomeng , Zhao Qilan , Sun Dawei , Gao Hanlin 
Published: June 2020

Abstract
The mileage of China’s high-speed railway network has grown rapidly, and the total amount of express delivery nationwide has also increased rapidly. Firstly, the GM (1, 1) model is used to predict the express market demand of high-speed railway hub cities in 2025; then the share-sharing model is constructed to calculate the market share of high-speed rail transport using MATLAB software to predict the market demand of high-speed rail express; and finally based on forecast data. Analyze the market prospects and prospects of the high-speed rail express business in hub cities.
The Research on the Architectural Design and Construction Path of Rural Low-Tech Residential Buildings
Authors: Xiao Li 
Published: June 2020

Abstract
At present, such problems as excessive destruction of rural natural environment, excessive consumption of construction resources, excessive construction cost of residential houses, unsustainable development mode, and gradual loss and extinction of traditional construction experience and technology need to be studied and solved urgently. This paper proposes to save the current rural residential buildings with the concept of low-tech, starting from the perspective of space, forms, materials, and technologies, etc., in order to explore the main categories and practical paths suitable for the current rural low-tech residential building design and construction.
Face Liveness Detection Based on Parallel CNN
Authors: Li Xin , Wu Wei , Li Tao , Su Yang , Yang Lilin 
Published: June 2020

Abstract
In this paper, we develop an effective framework based on deep learning for face liveness detection. Liveness detection is a great challenge in computer vision. Over the past decade, the interest of people in safety management has increased, and face recognition technology has gradually expanded into the commercial areas. However, general face recognition systems also present risks in terms of security and are vulnerable to spoofing attacks. Therefore, we propose a practical deep learning framework to improve the accuracy of classification. First, we observe the image and label the areas with outline and facial features. Second, we introduce an attention model, which fuses local features and global features to obtain multi-channel features. Third, we use pyramid structures and multiple convolutional neural networks with different depths to classify them in parallel and combine them with multiple results. We evaluated the performance of this method on the CASIA-SURF data set. Experiments show that the proposed frame-trained human face classifier has better performance than the existing classifier.
Design of Mining Rules and Prediction System for the First Hit Ratio of Artillery
Authors: Zhou Na , Li Yonghao , Guo Qianya , Liu Xinan 
Published: June 2020

Abstract
In order to realize the data-driven cost-effective prediction of the first hit rate of artillery, this paper applies data mining, minHash and other core algorithms and ideas to design a set of artillery first hit ratio correlation with data analysis, storage, analysis, mining and other functions. Rule mining and forecasting system. In this paper, the system architecture, core algorithm and system software of this system are designed. The actual case test of the first hit rate prediction is carried out based on the test data of a certain type of artillery. The analysis of the test results shows that the function of the system is normal and the operation is stable. The average deviation of the predicted test results is 3.08%, which meets the index requirement of the predicted deviation of the first hit ratio of the artillery <5%.
3D Image Segmentation of MRI Prostate Based on a Pytorch Implementation of V-Net
Authors: Liu Yizhou 
Published: June 2020

Abstract
Prostatitis is one of the common diseases in adult males. At present, the MRI prostate volumetric medical image analysis mainly relies on the radiologist’s naked eye localization recognition diagnosis, which is easy to be misdiagnosed due to the fatigue of the doctor. Although the traditional technology uses the Support Vector Machine (SVM) to identify the image, it exists. Manual design features are incomplete and detection accuracy is not high. Recently, with the popularity and breakthrough of convolutional neural networks in the field of computer vision and medical image analysis, the author uses the MRI Prostate MR Image Segmentation 2012 combined with the Vnet method to exploit the depth of open source. Learning framework Pytorch, to achieve 3D image segmentation. The experimental results show that the Dice coefficient of the model on the training set reaches 0.9238 that is, the similarity between the image after cutting and the original image of the original label is 0.9238, and the error value is only 6.42, which is fast and automatic and accurate for intelligent target area painting, thus facilitating the doctor. Diagnosing medical imaging work is conducive to alleviating the imbalance of the proportion of doctors and patients in China.
Dynamic Simulation and Quantitative Risk Assessment of Indoor Heavy Gas Diffusion
Authors: Xin Baoquan , Wan Lu , Dang Wenyi 
Published: June 2020

Abstract
In order to study the dynamic diffusion process and risk of indoor liquid chlorine leakage, large-scale numerical simulation and risk calculation are carried out based on CFD method. Firstly, a full-scale model in 3km range is established based on CFD calculation, and then the chlorine diffusion process in six leakage scenarios is calculated and analyzed based on pool model. The individual risk and social risk of existing conditions and SIS increase are calculated respectively. The results show that the chlorine will diffuse slowly in the room when the small aperture leaks. In case of leakage of middle hole and larger hole diameter, chlorine gas will quickly fill the warehouse and leak to the outside of the warehouse. The influence of leakage pore size on the diffusion distance of chlorine is very obvious. The total diffusion distance of 900ppm chlorine is 24.2m-401.3m, and the diffusion time is 120s-670s respectively. Under the existing conditions, the individual risk and social risk do not meet the risk acceptance criteria. After sis is increased, the risk meets the acceptance criteria.
Study on mechanism of seepage drainage facilities affecting saturated-unsaturated seepage flow field of high tailings dam
Authors: Bi Qian , Wang Yantao , Li Yunhua 
Published: June 2020

Abstract
This article uses a 300m complex high heap tailings dam as an example. Obtain real parameters through laboratory tests and in-situ tests. Establish a two-dimensional finite element numerical model. Consider normal and flood conditions. Consider the three stages of tailings dam height stacking to 135m, 200m and final 300m. two-dimensional finite element seepage field simulation of simultaneously setting dam surface drainage facilities and reservoir bottom drainage facilities, only reservoir bottom drainage facilities, and only dam surface drainage facilities was performed. Through the analysis of results, the bottom seepage drainage facility is not effective when the dam is high or there are complex geological conditions in the dam. The drainage facilities in front of the dam have a better effect on preventing the infiltration line from overflowing the dam surface, but the ability to control the infiltration line is weak.
Study on the Changes of Calcium Carbonate and Organic Carbon in the Soil after the Feldspathic Sandstone and Sand Compounding
Authors: Shi Chendi , Li Juan , Lu Yangjie , Guo Zhen 
Published: June 2020

Abstract
By analyzing the changes of calcium carbonate and free iron oxide in inorganic cement materials in different proportions of the feldspathic sandstone and sand compounding soil under different tillage years (2a and 9a), the calcium carbonate and free soil in the soil were determined in two years. The average content and relationship of iron oxide. The results show that the average content of calcium carbonate is the highest in the mixed soil of feldspathic sandstone and sand in the ratio of 1:2, the ratio is more favorable for the accumulation of calcium carbonate in 0-30cm soil surface inorganic colloid. The difference of organic carbon content in 0-10cm and 10-20cm soil layers was significant, but it was not significant in 20-30cm soil layers. After the mixture of feldspathic sandstone and sand for 9a, the highest content of organic carbon in each soil layer is the mixture of feldspathic sandstone and sand according to 1:1. From the mixture soil which has been cultivated for 9a, the soil layers of 10-20 cm and 20-30 cm, the content of organic carbon tends to be stable in each proportion. The average organic carbon content was 2.00 g/kg in 2a and 3.37 g/kg in 9a, which increased by 68.50% compared with 2a.
Environmental Analysis of New Economy Based on Energy Consumption and International Trade
Authors: Wang Fang 
Published: June 2020

Abstract
The advent of the era of globalization has led to an increasing number of factors affecting the environment. For most countries, the pursuit of large-scale economic growth has led them to a huge international trade market. With the large-scale economic growth, energy demand in most countries has surged, and emissions have also increased significantly. To mitigate environmental pollution, researchers are focusing on the links between energy consumption, economic growth, and environmental pollution. Based on this research background, the thesis uses the validity method of the environmental Kuznets curve theory, which can make an enough contribution to the research on the dynamic relationship between energy consumption, international trade and environmental pollution.
Effect of Surface Texture on the Output Performance of Lateral Sliding-Mode Triboelectric Nanogenerator
Authors: Ji Shengbao , Fu Tie , Hu Yanqiang 
Published: June 2020

Abstract
In the working process of textured sliding-mode Triboelectric Nanogenerator (TENG), triboelectrification and wear occur simultaneously. At present, there is no systematic research on how the size of surface texture affects surface wear and output performance. In this paper, polymer surface with cylindrical texture of different pitches was prepared by photolithography and replication technology. According to the experimental results, the relationship between surface charge density and normal load of textured PI films was determined. Then the wear and electrostatic field of textured sliding-mode TENG were simulated by finite element method. The results show that the surface charge density increases with the contact load. And the open-circuit voltage of the sliding-mode TENG increases with the sliding distance given in this paper. The reason is that the height of textures in the separation zone is higher, which is caused by the shorter in-friction time and less wear, leading to the increased contact load in the next full-contact state. Therefore, more charges caused by the increased contact load tend to induce the higher output voltage. Moreover, textured surface with small pitch has better wear resistance and output characteristics. This research can provide an analytical method and basis for designing of surface texture in sliding-mode TENG.
Practice Teaching Reform of Tourism Management Major in Higher Vocational Education under the Background of New Industry Form
Authors: Chen Lan 
Published: June 2020

Abstract
In recent years, there are many new forms of tourism industry, which have new requirements for employees. At present, the traditional practice teaching does not fully consider the latest development of the industry, which leads to the problem of the disconnection between talent training and actual demand. Based on the analysis of the existing problems of the traditional teaching mode, this paper puts forward the teaching reform measures. The reform is carried out from four aspects, namely, practical teaching objectives, practical teaching contents, teaching methods, teaching means and teaching means, so as to realize the optimization of practical teaching system.
The Intelligent Fault Diagnosis of Diesel Engine Based on the Ensemble Learning
Authors: Shao Mingqi , Wang Jin , Wang Sibo 
Published: June 2020

Abstract
As the source of power, internal combustion engine is widely used. Because the structure of internal combustion engine is complex and the working condition is bad, the possibility of failure is great. The condition monitoring and fault diagnosis of internal combustion engine can discover and eliminate the faults in time, and ensure the safety and reliability of the operation process. With the rapid progress of machine learning technology, fault diagnosis system is gradually moving towards intelligent development. The enesmble learning uses different methods to change the distribution of the original training samples, so as to build multiple different classifiers, and combine these classifiers to get a stronger classifier to make the final decision. In this paper, through the simulation model of 7k98mc diesel engine to simulate the normal and fault conditions of diesel engine, the ensemble learning algorithm is verified. The results show that the ensemble learning algorithm has higher accuracy and better stability than shallow classifiers.
A New Starting Curve Based on Acceleration and Deceleration Theory of Stepping Motor
Authors: Si Yawei , Zhang Lili , Du Yepeng , Wang Haoyu 
Published: June 2020

AbstractThis paper makes a comprehensive analysis of various research methods to improve the sampling accuracy of automatic biochemical analyzer, and confirms that the starting mode of plunger pump is taken as the research object to improve the sampling accuracy. A new type of S-curve is designed based on the S-curve proposed by acceleration and deceleration theory. This new type of curve ensures high precision sample addition by accurately controlling the plunger pump to run the same distance in each step of the stepping motor. In order to confirm the validity of the new S-curve, an experimental platform was established to compare the confirming that the optimized S-curve can obviously improve the stability of the sample addition result.
Moving Load Identification for STS Cranes Based on Hybrid Weighted Regularization Method
Authors: Wang Ligang , Zhang Qing , Sun Yuantao , Qing Xianrong 
Published: June 2020

Abstract
Moving force identification (MFI) is an important inverse problem in the field of structural health monitoring (SHM). However, reasonable signal features of moving forces are rarely considered in the existing MFI methods. Based on the redundant concatenated dictionary and weighted-norm regularization method, a hybrid method is proposed for MFI in this study. The redundant dictionary consists of both trigonometric functions and rectangular functions used for matching the harmonic and impact signal features of unknown moving forces. The weighted-norm regularization method is introduced for formulation of MFI equation, so that the signal features of moving forces can be accurately extracted. In order to assess the accuracy and the feasibility of the proposed method, an experiment based on Ship-to-Shore (STS) crane has been made and the results were discussed.
Numerical Investigation of Fluid Flow and Heat Transfer Characteristics in Helical Tube with Spiral Corrugations
Authors: Wu Zhiwei , Qian Caifu 
Published: June 2020

Abstract
The flow and heat transfer performance of helical tube with spiral corrugation are numerically studied and compared with helical smooth tube. The velocity field, temperature field and synergistic performance at different sections are analyzed. It is found show that the turbulence intensity is enhanced due to the existence of the spiral corrugations, and as a results, the helical tube with spiral corrugations has more efficient heat transfer capability. Compared with the helical smooth tube, the heat transfer performance of helical tube with spiral corrugations is improved by 20-50%, but the pressure drop increases by about 100%.