bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation and research on some buildings in Ningbo
Authors: Peng Youtian 
Published: June 2020

Abstract
Simulation is the imitation of the operation of a real-world process or system over time. The act of simulating something first requires that a model be developed; this model represents the key characteristics or behaviors of the selected physical or abstract system or process. The model represents the system itself, whereas the simulation represents the operation of the system over time.
Dynamic Response Analysis of Tubular String under Perforating Gun-shock Loads
Authors: Liu Hongtao , Dou Yihua , Cao Lihu , Cao Yinping , Xue Yanpeng 
Published: June 2020

Abstract
To obtain the dynamic response of perforating string under gun-shock loads, a dynamical model was established based on the vibration mechanics theory of cantilever beam, and the differential equations of longitudinal vibration were deduced. The dynamic response was obtained according to the measured data of impact loads. The results show that vibration response of displacement, velocity, and acceleration were changed with a cycle of 15ms. The Von Mises stress near the packer is the largest owing to stress concentration. The analytic solution of natural frequency is close to the finite element analysis value, and the maximum relative error is below 5%.The velocity of stress waves propagating along the string approximates 5000m/s, which is close to the theoretical analysis value and is about 3.6 times that of sound velocity in water.
Study on Risk Evaluation of Acetochlor Production Process
Authors: Wang Yunna , Cao Qinggui , Qiu Xiaoxuan , Liu Qing 
Published: June 2020

Abstract
To scientifically evaluate the danger of acetochlor production process, this article identifies and analyzes dangerous and harmful factors in a company’s factory from dangerous and hazardous substances, equipment, and places, etc, fire, leakage and explosion are the main risk factors of the plant. Taking the ethanol storage tank leakage in the storage area as an example, the FLUENT software was used to simulate the leakage of ethanol, and it was found that the leakage outlet emitted a concentration of more than 8% and migrated to the windward side, which was extremely prone to vapor cloud explosion. Then, the TNT equivalent explosion model was used to calculate that the vapor cloud explosion may cause the death radius, severe injury radius, and minor injury radius to reach 57.27m, 138.39m, and 252.21m. At the same time, the radius of explosion damage under other overpressures was calculated. Based on this, suggestions for targeted safety countermeasures can be provided, which can provide a reference for accident prevention and emergency treatment.
Simulation study on influence of coating thickness on cutting performance of coated ceramic cutting tools
Authors: Wang Huijun , Zhang Jingjie , Yi Mingdong , Xiao Guangchun , Chen Zhaoqiang , Sheng Changchao , Zhang Peng , Xu Chonghai 
Published: June 2020

Abstract
The processes of cutting gray iron with coated ceramic tools were simulated using the cutting simulation software named AdvantEdge. The effect of coating thickness on cutting temperature, cutting force, and maximum equivalent stress of cutting tools were investigated. Firstly, a finite element cutting simulation model was established to investigate the influence of coating thickness of coated ceramic tools. The cutting simulation model was verified through cutting gray iron experiment. And the model has validity. Both the simulation and experimental results showed that the cutting temperature, cutting force and the maximum equivalent stress were obtained to be minimum when the coating thickness was 2 μm, reaching 444.5 °C, 102 N and 1949.8 MPa, respectively. Finally, the relationship between the interface characteristics and cutting performance of coated ceramic tools were qualitatively described by the functional relationship between the maximum equivalent stress and the coating thickness. Since the maximum equivalent stress of the tool can reflect the tool wear condition, the optimum coating thickness can be obtained corresponding to the minimum tool wear using the relationship between the maximum equivalent stress and the coating thickness.
Preparation and Characterization of a large-scale gold nanofilm
Authors: Tang Junqi , Ge Linlin , Xu Xiansheng 
Published: June 2020

Abstract
Large-scale nanofilms were of great interest in the field of nanophotonics, mainly due to their unique optical properties. Two dimensional (2D) large-scale gold nanofilm was fabricated by an interface self-assembly method based on sodium citrate-capped gold nanoparticles (AuNPs). AuNPs was firstly characterized by UV-vis spectra and transmission electron microscopy methods. The prepared large-scale gold nanofilm was characterized by scanning electron microscopy technology. We expected this method and the prepared nanofilm would apply in biosensors and functionalized optical devices.
Application of New Waterproof Quick-drying Sports Green Material in Clothing Design
Authors: Sun Mengjie 
Published: June 2020

Abstract
In order to provide a theoretical basis for the study of moisture-absorbing and quick-drying clothing, this paper selects 6 kinds of knitted fabrics (6 types of moisture-absorbing and quick-drying fabrics, 1 type of pure cotton fabrics and 1 type of pure polyester fabrics) and makes them into garments for comparison. the study. A liquid water dynamic transfer performance tester (MMT) and a moisture permeable cup were used to evaluate the wet transfer performance of the samples. The sweat dummy and subjective evaluation methods were used to study the thermal and wet comfort of the clothing samples. This paper studies the application of green materials for waterproof and quick-drying sports in apparel design.
Research on the security Oblivious Transfer protocol based on ECDDH
Authors: Wang Xiaotian , Li Zichen 
Published: June 2020

Abstract
A new type of Oblivious Transfer protocol is designed under the assumption of ECDDH. The protocol can be safely implemented under a malicious model, 1 of which are selected in N input values. The RAND function is defined under this assumption, and the security definition is given. Then, the security interaction mode of the sender and receiver is constructed. Finally, the correctness of the Protocol is analyzed and the security proof is given. The protocol has the interaction complexity of the constant number level, and the computational and communication complexity is only related to n linearity.
Jamming Analysis and Simulation of Active Jamming on Pulse Radar Fuze
Authors: Li Dong , Zhu Xiaofei , Shen Xiaowei , Zeng Zhenjie 
Published: June 2020

Abstract
Pulse radar fuze is widely used at present. The jamming and anti-jamming of radar fuze have always been the focus of modern electronic countermeasures. The working principle of pulse radar fuze and the jamming mechanism of three typical active jamming to radar fuze is analyzed, and the jamming effect is simulated. The simulation results show that the pulse radar fuze has a certain anti-jamming ability to suppress radio frequency noise; The anti-jamming measures of variable period has a good anti-jamming effect to range deception jamming; After the density of dense false target jamming reaches a certain degree, it can exert an effective influence on the pulse radar fuze.
Air-Cycle Energy-Saving IH Rice Cooker Based on Phase Change Heat Storage
Authors: Li Lu , Yang Chenglong 
Published: June 2020

Abstract
This device combines phase change heat storage with air circulation, and proposes a new three-dimensional honeycomb grid structure on the phase change material carrier structure. The reasonable use of steam residual heat and the use of a segmented electromagnetic coil structure reduce the heat loss and power consumption of IH rice cooker. Utilizing the hot steam generated in the heating stage of the rice cooker, the low-temperature waste heat is recycled in the low-temperature phase-change thermal storage module designed by the device. At the same time, the electromagnetic coil is segmented. Besides, the fuzzy control is used to determine the actual amount of rice to be cooked to determine the number of coil segments used in the heating stage to reduce power consumption.
Study on UPLC Fingerprint of Lophatherum Gracile Brongn
Authors: Yang Xiaosong , Kong Juan , Zhang Lingling , Wang Xiangpei , He Xiaomei , Wu Hongmei 
Published: June 2020

Abstract
Objective: To establish UPLC fingerprint of Lophatherum gracile Brongn and provide reference for quality evaluation of Lophatherum gracile Brongn. Method: Agilent ZORBAX Eclipse Plus C18 (2.1mm × 100mm, 1.8 μm) chromatographic column, Mobile phase acetonitrile-0.1% phosphoric acid water, gradient elution, flow rate 0.1 mL·min-1, column temperature 30°C and injection volume 1μL. Results: There are 20 common peaks in the chromatographic fingerprint of 10 batches of Lophatherum gracile Brongn at 270 nm, and the similarity is between 0.890-0.974. Conclusion: The UPLC fingerprint method established in this study is efficient, fast, specific and characteristic, and the sample information is rich, which can provide reference for the quality evaluation of Lophatherum gracile Brongn.
A Novel Improved K-Means Algorithm Based on Parameter Adaptive Selection
Authors: Huang Xiaodi , Ren Minglun , Zhu Xiaoxi 
Published: June 2020

Abstract
As a classical clustering algorithm, K-means has been widely applied due to its features of simple mathematical thinking, fast convergence rate, less complexity, and easy to implementation. However, K-means algorithm always requires users to set the desired number of clusters in advance, and the initial cluster centers are usually generated in a random way. When dealing with unknown datasets that users do not have enough domain-assisted knowledge, such parameters setting strategies not only increases the burden on users, but also makes clustering quality difficult to guarantee. Therefore, in view of the high sensitivity of K-means clustering process to initial parameters, this paper propose an improved DDWK-means (Distance-Density-Weight K-means) algorithm. Based on the distance-density feature and the method of inertia weight of particle swarm optimization algorithm, the optimal initial cluster centers not only can be determined adaptively according to the structural characteristics of the dataset itself without introducing artificial parameters, but also can be adjusted dynamically due to the threshold change of clustering quality metric. We make an experimental study with five standard datasets from UCI (University of California Irvine), and the results indicate that the DDWK-means algorithm exhibits a significantly improvement in clustering efficiency and stability.
Application Discussion and Inspection on the Unintended Car Movement Protection System
Authors: Kong Lingxiang , Zhao Lidan , Wang Shuijun , Jiang Jie , Wu Haiping 
Published: June 2020

Abstract
As the amount of using elevators and annual elevators grows, the injury accidents still happen frequently every year under the circumstances of elevator manufacture and maintenance available. Most accidents result from the failure of door system and breaks which causes shearing and crushing. The Unintended Car Movement Protection System (UCMP) is listed into the national mandatory criteria to prevent injury accidents. In this paper, the composition of UCMP is simply analyzed, and inspection method is discussed.
Construction of New Agricultural Products E-commerce Platform and Analysis of Its Functional Requirements
Authors: Huang Bingchao , Fang Xuan , Lin Ruiqi , Maalla Allam 
Published: June 2020

Abstract
Under the background of the Internet era, the deep integration of e-commerce technology with modern agriculture and dietary consumption has revolutionized the traditional living habits of urban people. The new agricultural products e-commerce platform meets the practical functional needs of modern social agricultural products supply, e-commerce platform, and consumer users, and establishes an independent, new-based agricultural e-commerce food chain based on the consumption target and data-based sales process. The KANO model is used to analyze the impact of user requirements on user satisfaction, reflecting the nonlinear relationship between product performance and user satisfaction, analyzing the number of user choices corresponding to different demand attributes, revealing the user’s expectations of their functional requirements, and establishing product objective. The relationship between performance and user perception, fostering new formats and innovative public service models and promoting the transformation of the catering operation model.
High performance organic solar cells based on ZnO: POT2T as an effective cathode interfacial layer
Authors: Du Xiaoyang , Li Xinrui , Chen Quanyi , Lin Hui , Tao Silu 
Published: June 2020

Abstract
Interface engineering in organic solar cells (OSCs) plays an important role in improving electron extraction and suppressing carrier recombination. In this article, the improvement of device was achieved by doping POT2T into ZnO as a new electron transport layer (ETL). For PTB7-Th: PC71BM system, the device fabricated by using ZnO as ETL achieved a PCE of 9.03% with a JSC of 17.33 mA/cm2, a VOC of 0.783V and a FF of 64.17%. After doping 5wt% POT2T in ZnO, the JSC increased to 18.01 mA/cm2 and the FF increased slightly to 69.87%, as a result, the PCE increased to 9.84% with about 10% enhancement. The enhancement is attributed to the improved electron transport and conductivity, optimized ZnO surface morphology after adding POT2T, resulting in higher JSC and FF. Therefore, doping POT2T into ZnO as an ETL is a simple and effective method for obtaining high efficient OSCs.
The embedded discrete fracture model for two-phase flow involving the capillary pressure discontinuities in low-permeability reservoir
Authors: Li Zhanke , Cao Weidong , Liu Zhifeng , Wang Min , Yu Jinbiao , Wang Xiaohong 
Published: June 2020

Abstract
In low permeability reservoirs with conductive fractures, there is large capillary pressure contrast between the matrix and the fracture. It may cause very sharp changes in physical quantities near the matrix-fracture interface, which makes it difficult to calculate the matrix-fracture exchange flux accurately in the traditional embedded fracture model (EDFM). The strong capillary pressure contrast between the matrix and the fracture results in three flow patterns near the matrix-fracture interface and creates difficulty in calculation of the matrix-fracture exchange flux. In this article, a modified embedded discrete fracture model is proposed, where the analytical solutions for the three different patterns are employed to construct the numerical scheme for calculating the matrix-fracture exchange flux. The numerical tests show that the calculated results of the proposed model are in agreement with the reference model in which both the fracture cells and also the matrix cells near the fracture are subdivided sufficiently.
Research and Application of Optimized Integrated Profile Control in Wang 36 Well Area of Wangjiawan Oilfield
Authors: Huang Hongbing , Yang Yong , Yu Haitang , Ouyang Huajing 
Published: June 2020

Abstract
Aiming at the problems of serious heterogeneity of reservoirs in Wang 36 well area of Wangjiawan Oilfield, raPId rise of water cut in the oilfield, poor waterflooding development effect and unsatisfactory effects of conventional single profile control measures. Based on PI decision-making, a comprehensive profile-adjustment decision-making technique based on factors such as heterogeneity of water absorption profile and rising rate of water cut is developed. Field application shows that the overall profile adjustment of the block effectively improves the water flooding effect of Wang 36 block. This method has the characteristics of fastness, practicality and strong operability, and has important guiding significance for comprehensive treatment of similar oilfields.
Application of In-situ Thermal Regeneration Technology in Southern Ring Section of Guangzhou Ring Expressway
Authors: Peng Chenchu , Yang Fang , Feng Liu 
Published: June 2020

Abstract
Based on the South Ring Section of Guangzhou Circum-City Expressway, the characteristics of in-situ thermal regeneration and pavement regeneration technology are analyzed. The pavement performance of the mixture is evaluated by means of immersion residual stability, rutting and freeze-thaw splitting test. The application effect of in-situ thermal regeneration pavement is evaluated by means of seepage test and structural depth test. The results show that the water stability and high temperature stability of recycled asphalt mixture after adding recycling agent are in line with the specifications; the segregation of recycled pavement is large, the seepage is serious, and the seepage and structural depth of overlay recycled pavement meet the requirements; this paper summarizes the application experience and problems in the application process, and provides a reference for similar projects. Basis and improvement direction.
Research on Comprehensive Energy System Analysis Platform of Typical Park
Authors: Nie Wenzhao , Ma Hao , Feng Liwei , Quan Wenlin , Zhang Jing 
Published: June 2020

Abstract
In order to improve the efficiency and accuracy of the comprehensive energy system scheme planning, the research and development of the comprehensive energy system analysis platform in the park was developed. Take the construction of parks (including building parks and industrial parks) as an entry point. Theoretical research is carried out on three aspects of the overall scheme design method of the comprehensive energy system of the park, the influencing factors and analysis methods of the comprehensive energy projects in the park, and the construction of the smart energy integrated management platform. Based on the theoretical research results, the corresponding development of platform tools is proposed, and the platform tools are used to support the planning and design of the integrated energy system of the park and the analysis of investment and operation benefits. The platform research results show that comprehensive energy schemes can be automatically generated and improve accuracy and efficiency. The research results have certain reference and guidance value for the construction and operation of comprehensive energy projects in the subsequent parks.
Study on gas emission prediction of working face based on GM (1, 1) model
Authors: Yuan Benqing 
Published: June 2020

Abstract
At present, the prediction method of gas emission in coal mining face has low precision, based on grey system theory system, grey GM (1, 1) gas emission prediction model is constructed, the real-time, dynamic and non-linear prediction of gas emission is realized, and the application test is carried out in a mine of Huainan mining area. The results show that the average relative error between the predicted value and the measured value is 6.14%, the predicted Index C value is 0.48, P value is 0.90, and the prediction accuracy reaches the second level, which may guide the real-time, dynamic and accurate prediction of gas emission in the coal face.
Research on the Regional Prediction Gas Content Critical Value of 3# Coal Seam in Sangshuping NO.2 Mine
Authors: Jun Liu 
Published: June 2020

Abstract
In order to determine the regional prediction gas content critical value of 3# coal seam in Sangshuping NO.2 Mine, according to the mine’s gas geological conditions, the gas geological units in the investigation area was analyzed and determined. The minimum firmness coefficient f
min, the initial gas release rate ΔP, and the volatility of coal Vdaf
were measured. The outburst empirical formula was used to calculate the minimum gas pressure at which outburst occurred, and then the critical value of gas content was obtained. At the same time, the three-rate analysis method, the correlation analysis of gas content and prominent omen were used to comprehensively determine the critical value of gas content in the normal area of 3# coal seam is 9m3/t in normal area, 8m3/t in geological anomaly area, it provides a scientific basis for regional outburst prevention in the mine.
Galaxy Morphology Classification Based On An Improved Deep Convolutional Neural Network
Authors: Chen Jiawei 
Published: June 2020

Abstract
With each passing day telescopes around and above the Earth capture more and more images of distant galaxies. As better and bigger telescopes continue to collect these images, the datasets begin to explode in size. In order to better understand how the different shapes (or morphologies) of galaxies relate to the physics that create them, such images need to be sorted and classified. Combining with Kaggle public datasets called Galaxy Zoo, this paper devised a deep convolutional neural network for galaxy morphology image classification. The network contains eight convolutional layers, five max_pooling layers, one flatten layer, a fully connected layer contains 150 neurons, as well as the final layer which outputs galaxy category of probability distribution of each image. The experiment results show that our neural network on the validation set of cosine similarity reached to -0.8652 (the closer to -1 means that the closer the predicted output and the expected output), implying that our model for galaxy morphology classification is very effective.
A Novel Method of Music Generation Based on Three Different Recurrent Neural Networks
Authors: Xie Jiatong 
Published: June 2020

Abstract
manuscripts Nowadays, music generation has become an important research field in the study of deep learning. Many different methods such as Generative Adversarial Networks (GAN) and Variational self-encoding (VAE) are already proved to be able to handle such task. In this paper, RNNs, such as LSTM and GRU, will be used to compose the core of the network to predict notes of the melody and generate new music. MIDI will be used as the general music format because of its simple and appropriate data structure that can be coded as a dictionary.
Research on R&D Efficiency Evaluation of Chinese Seed Industry Listed Companies Based on Three-Stage DEA Model
Authors: Yan Linnan 
Published: June 2020

Abstract
In this paper, we measure and analyze the R&D efficiency of 19 seed listed enterprises in China. In order to make the measurement more accurate, We used a three-stage DEA model to exclude the influence of environment variables. After removing the environmental factors, the R&D efficiency and scale efficiency decreased significantly than before, while the pure technical efficiency increased as a whole. This show that the R&D efficiency of seed industry in China is low, mainly affected by the efficiency of scale, and 63% of enterprises are in the state of increasing scale returns. But enterprise scale, the government support, ownership concentration and economic environment for research and development personnel and R&D capital has positive influence on redundancy, which are not conducive to R&D efficiency. Therefore, enterprises should pay attention to the influence of environmental factors, by improving the environmental factors to expand the scale of research and development, and improve the efficiency of its R&D to a certain extent.