bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D Printing Method of Spatial Curved Surface by Continuous Natural Fiber Reinforced Composite
Authors: Zhang Haiguang , Liu Di , Huang Tinglong , Hu Qingxi , Lammer Herfried 
Published: April 2020

Abstract
A method for printing continuous flax fiber-reinforced plastic (CFFRP) composites parts by five-axis three-dimensional (3D) printer based on fused deposition modelling (FDM) technology has been developed. FDM printed parts usually need supporting structures, have stair step effect, and unfavorable mechanical properties. In order to address these deficiencies, continuous natural fiber prepreg filaments were first manufactured, followed by curved path planning for the model for generating the G-code, and finally printed by five-axis 3D printer. The surface quality of printed parts had been greatly improved. The compressive strength and modulus of the 3D-printed CFFRP specimens increased by 29% and 522% respectively, compared with planar slicing method.
Research on a Logistics Conveying Device for Hydrostatic Testing of Gas Cylinders
Authors: Zhou Yu , Huang Song , Zhao Zhongguo , Xiong Shutao , Li Bin 
Published: April 2020

Abstract
Our regular inspection during the use of cylinders is an important means to ensure the safe use of cylinders, and reasonable periodic inspection efficiency is a necessary means to ensure the normal circulation of cylinders and maintain the stability of the cylinder industry. As a bottleneck in the testing process of the hydrostatic test, the efficiency of periodic inspection of gas cylinders has been affected for a long time. In order to solve the above problems, this thesis mainly researches and solves the bottleneck problems that affect the efficiency of hydraulic pressure tests, in order to achieve rapid detection of the hydraulic pressure tests of cylinders, and develops a kind of gas cylinders to dial, rotate, flip, water, hoist, weigh It can accurately and accurately locate the water jacket, pour water, purge, and dry the cylinder logistics conveying device, and realize the fast and accurate cylinder hydraulic pressure test, eliminating the bottleneck problem in the detection process and achieving the effect of rapid cylinder detection.
Preparation and Research of Solvent-Free Epoxy Coating for Drinking Water Tank
Authors: Cui Cancan , Shi Jiafeng , Kang Shaowei , Han Zhongzhi , Zhang Jing , Sun Zhaoxing , Duan Shaoming , Liu Benhua , Guo Xiaojun 
Published: April 2020

Abstract
By compounding E42 and E51 epoxy resin, blending modified polyamide curing agent and modified fatty amine curing agent, optimizing glycidyl ether reactive diluent system, using safe non-toxic pigment filler and grading wear resistance filling and optimization auxiliaries system, the developed coating sanitary index meets the requirements of “Sanitary Standard for Drinking Water”, and the wear resistance (cs17, 1000g/1000r, mg) is 64.4mg. The coatings passed 6J impact resistance test and is resistant to bending 1.5° without cracks. The coatings also have excellent resistance to medium corrosion and salt spray.
A Review of Research on Point Cloud Registration Methods
Authors: Gu Xuejing , Wang Xu , Guo Yucheng 
Published: April 2020

Abstract
The point cloud Registration Method is the Basis for 3D reconstruction and scenes perception. After decades of development, it has been acquired in the fields of reverse engineering, machine vision, CAD/CAM,laser remote sensing,virtual reality, human-computer interaction,and stereo imaging.A wide range of applications.in this paper, the existing registration methods are divided into two types based on the registration process: coarse registration and fine registration.the algorithm principles and processes,and combs the related derivative algorithms. On this basis, the characteristics of various algorithms are compared and analyzed, which provides a reference for selecting suitable algorithms in different scenarios.Finally pointed out the main provides a reference for electing suitable algorithms in different scenarios. Finally pointed out the main problems and future research directions.
Application Research of Vision Sensor in Material Sorting Automation Control System
Authors: Li Jingyu 
Published: April 2020

Abstract
Based on the PLC in the material sorting automation system, the paper builds an automatic material sorting system based on visual sensors. The control system involves various sensor technologies such as photoelectric sensors and vision sensors, mechanical technology, electrical and electronic technology, frequency converter technology, motor drive technology, air pressure control technology, human-machine interface technology, etc., and integrates the application of various technologies in training. On the platform, students can familiarize themselves with the process of detecting, transmitting, and processing the automatic production line and the control process of the system through the practice of this training platform. They can be familiar with the mechatronics technology. The system first detects the metal through the inductive sensor, detects the colour through the photoelectric sensor, and finally detects whether the processing is qualified by the machine vision system, and obtains the target data, and finally controls the robot to realize the sorting action, and completes the storage operation of the stereo warehouse.
Group-attention Based Neural Machine Translation
Authors: Hu Renyu , Xu Hao , Xiao Yang , Wu Chenjun , Jia Haiyang 
Published: April 2020

Abstract
Machine translation is a classic problem in natural language process (NLP). Recent years, the encoder and decoder through an attention mechanism has become a trend. Google proposed a new simple network architecture, the Transformer using attention mechanisms only rather than CNN or RNN in 2017. However, it may lose some important information (e.g., grammatical component, etc) when using attention mechanism for whole sentence.We propose a new brand model based on transformer using Group attention layers and group position embedding. It absorbs the features of Group-CNN combines the algorithm in computer vision (CV) and NLP. The model not only pays more attention to the ingredients (e.g., subject, predicate and adverbial, etc), but also enhances the connection of phrase. It outperforms SofA Transformer in using more syntactic information.
Study on Screw-holding Ability of Three Screw Connections in Medium Density Fiberboard Components
Authors: He Yiwan , Chen Sisi , Chen Ming 
Published: April 2020

Abstract
In this experiment, medium density fiberboard (MDF) was chosen as connection parts and orthogonal test method was used to study the influence of screw type, diameter of guide hole and screw penetration depth on screw-holding ability in MDF components. The results showed that the type of screw has no significant effect on the screw-holding ability, while the self-tapping screw with cross groove has the greatest effect, the diameter of the guide hole and the depth of the screw have significant effects on the strength of the screw-holding ability. Within a reasonable range, the larger the diameter of the guide hole and the deeper the screw penetration MDF has, the higher the anti-pulling force the screw get. In actual production, the strength of screw joint can be improved by increasing the diameter of guide hole and deepening the depth of screw properly.
Microscopic analysis of polyimide nanocomposites aging mechanism exposed to partial discharges under high frequency voltage stress
Authors: Asif Muhammad , Li Qingmin , Huang Xuwei , Ren Hanwen , Zian Ding , Liu Tao 
Published: April 2020

Abstract
For the sake of investigating the influence of nanoparticles on the reduction in structural damage of neat polyimide (PI) and PI nanocomposites, scanning electron microscope (SEM) based microscopic study was conducted on unaged and aged pure PI and PI/TiO2 nanocomposite samples exposed to partial discharge activity under high frequency ac voltage stress. PI/TiO2 nanocomposites with 2, 3 and 5 wt.% were fabricated adopting in-situ polymerization technique. Partial discharge (PD) aging measurements were made and PD characteristic parameters were obtained to analyze the electrical performance of both neat PI and PI nanocomposites. Based on microscopic structural analysis, it was found that PI nanocomposite sample experienced less structural damage in contrast with neat PI. Smaller and lesser number of voids were found in PI/TiO2 nanocomposites than that of neat PI in result of PDs reduction in PI nanocomposite.
Study on the Free Vibration of a Rubber Band Oscillator
Authors: Huang Yan , He Songlin , Yu An , Ren Jie 
Published: April 2020

Abstract
Through theoretical analysis and experimental verification of the motion of a rubber band oscillator, this paper proves that the new model for describing the mechanical properties of rubber is effective. It is pointed out that there are both elasticforce related to deformation and viscoelastic force related to deformation process in rubber. Within a certain range of deformation, elastic force satisfies Hooke’s theorem, and viscoelastic force is proportional to fractional derivative of elongation with time. The mechanical properties of rubber materials can be described by static elastic modulus (elastic coefficient), viscoelastic degree and viscoelastic coefficient.
Research on the optimization design method of the stiffness of the composite sandwich panel
Authors: Fu Xiao , Mei Zhi Yuan , Chen Guo Tao , Zhang Er 
Published: April 2020

AbstractBased on the optimization design of sonar fairing shell plate, aiming at the contradiction between sound transmission and stiffness design of composite shell plate, a scheme of carbon fiber-reinforced buoyancy core sandwich shell plate is proposed. The sound transmission performance and stiffness characteristics of shell plate are studied respectively. Through theoretical analysis and finite element simulation, the stiffness change law of sandwich plate meeting the sound transmission performance is discussed, and the sound transmission clamp is obtained The stiffness optimization design method of laminates is presented, and the accuracy of the method is verified by an example.
The Role of Pad Block’s Support Surface Topography in the Measurement of Optical Glass BK7’s Surface Figure
Authors: Ren Lele , Zhang Feihu , Liao Defeng , Liu Ang , Wang Yiren , Wang Jian 
Published: April 2020

Abstract
Large flat transmission mirrors made from optical glass BK7 are widely used in the high-power laser facility, which are required of stringent specifications for the whole spatial frequency errors. This work reveals the role of pad block’s support surface (PBSS) topography in measuring BK7 surface figure. Firstly, the PBSS topography was measured with laser displacement sensor. Secondly, the BK7 surface deformation at different pad blocks were simulated with finite element method and validated by experiments. Finally, a method was proposed to quantitively evaluate the different PBSS topography.
A Review of SiC Wafers In-Line Detection Method in Power Device Fabrication
Authors: Li Ling , Li Jialin , Wu Hao , Liu Rui , Zhang Hongdan , Tian Liang , Zhu Tao , Jiao Qianqian , Jiang Chunyan , Wu Junmin , Pan Yan 
Published: April 2020

Abstract
Silicon carbide (SiC) has outstanding advantages such as wide band gap, high electron saturation drift speed, high thermal conductivity, high voltage and high temperature resistance. It is particularly suitable for making high-power devices. The in-line detection of wafers in the manufacturing process of SiC devices can reflect the quality of incoming materials and process quality. It is a very important part of the manufacturing process. SiC wafer’s in-line inspections involves characterization of the epilayer thickness, surface defects and contamination, wafer warping, dielectric and metal film thickness, etching morphology, etc. Various test methods are compared and discussed in this paper and suggestions are given on detection method selection.
Design of a New Structure for Rotary Viscometer
Authors: Jiang Tao , Li Junshi , Zhang Shengjun 
Published: April 2020

Abstract
The existing rotary viscometers on the market mostly adopt the single-blade transmission structure, which cannot eliminate the end-effect of the fluid viscosity test and affect the test accuracy. In order to solve this problem, a new structure of rotary viscometer is designed. The blade of the rotary viscometer is divided into upper and lower parts, and the parallel transmission scheme is adopted to prevent the upper blade from being subjected to additional torque, thereby eliminating the end-effect.
RETRACTED: Microstructure Observation and Mechanism Analysis of High Carbon Steel Decarburization at High Temperature under Electric Field
Authors: Chen Long , Tang Lingbo , Xu Jiawei 
Published: April 2020

Abstract
Electric Field Heat treatment has a significant effect on the superplasticity, recrystallization and phase transformation of metals, and can also improve the superplasticity and mechanical properties of materials. The effect of electric field on high temperature decarburization of high carbon steel was studied by comparing the decarburization degree of high carbon steel under electric field and non-electric field. The mechanism of the electric field is analyzed. The Electric Field promotes the migration of vacancy or vacancy + solute atoms to the grain boundary, dislocation or sample surface to realize the diffusion process.
Passively Q-Switched Tm: YAP Laser with a WSe2 Saturable Absorber
Authors: Li Guoxing , Yang Xining , Li Linjun , Zhang Hongda , Zhang Ziqiu , Zhang Liang 
Published: April 2020

Abstract
In this paper, WSe2 nanosheets were prepared and demonstrated to have non-linear absorption characteristics that were saturated at about 2 μm. A passively Q-swithched (PQS) Tm:YAP laser was perfectly implemented with the Wse2 nanosheets as a saturable absorber (SA). In PQS mode, an average output power of 1.01 W with a pulse duration of 1.7 μs at 166.7 kHz was achieved with a pump power of 12.1 W, corresponding to an optical-optical conversion efficiency of 8.3%. A peak power of 3.88 W was acquired from a PQS Tm: YAP laser.
Anti-Hepatoma Activity of A New Selenium-Rich Chitosan from 6-Hydroxy Esterification of Chitosan Copper
Authors: Zhu XiuLian , Shen Liuying , Chen Qinhua , Wang Hongmei , Zeng Xiaohua 
Published: April 2020

Abstract
This paper presents a technique to produce a selenium-rich chitosan by 6-hydroxy esterification of chitosan copper whose mole ratio of chitosan monomer and Cu is almost 1:1, which is suitable for the fields of food and feed chemistry or fine chemical technology, and belongs to the field of biomedical engineering technology. 6-Selenite chitosan copper will have better application prospect in medicine and make as selenium nutrient supplement in food, feed and agricultural fields, due to its higher selenium content and lower dosage than existing seleno-chitosan. The selenite chitosan copper effect than the common selenate chitosan. Selenite chitosan copper, which contains 10 times more selenium then existing seleno-chitosan or selenate chitosan, can greatly reduce its use and have a better anti-hepatoma effect. Metal ion protected amino group can bind to acid in the process of biological metabolism, and has a good targeting effect on the weak acidic environment of hepatocellular carcinoma tumors. Previous experiments in vitro showed that the IC50 value of selenite chitosan copper inhibiting HepG2 cells was 20.3 mg/L, and the inhibition rate to HepG2 cells was 87% at the concentration of 50 mg/L.
Preparation and Research of Nano Water - Based Ultra - Thin Fire Retardant Coatings for Steel Structure
Authors: Gao Shijie , Liu Jianyong , Wu Xin , Wu Yulong 
Published: April 2020

Abstract
The effects of nanometre materials on fire retardant coatings for steel structure were prepared and studied. The results showed that there were many bubbles in the Nano coating, and the carbon layer was more complete and compact. At the same time, the heat release rate, total heat release and smoke production rate of Nano coatings are all lower than traditional coatings. According to XPS energy spectrum analysis of the Nano coating, the content of O element in the black region is lower, and the content of P element is higher than that in the white region, indicating that the combustion in the black region is not complete and the flame retardant effect is batter.
Calculation Method of Take-off Weight for Single-seat Ultralight General Aircraft
Authors: Zhang Junyao , Tong Gang , Wang Feng , Zhou Quoqing 
Published: April 2020

Abstract
With the reform of low-altitude airspace, there will be a lot of room for development of ultralight general aircraft. However, it is difficult to accurately calculate weight of single-seat ultralight general aircraft in the past. This paper deduces a method for quickly calculating the takeoff weight in the general aircraft concept design stage, and combines the design data of some typical single-seat ultralight general aircraft to modify the coefficient of the formula. Thus the aircraft takeoff weight calculation formula can more accurately estimate the maximum takeoff weight of a single-seat ultralight aircraft. Taking a single-seat aircraft as an example, the effectiveness of the method is tested, and the error of the take-off weight calculation before and after the parameter correction are compared and analyzed. The calculation method and results have certain reference value.
Exploration and Application of Software Development Automation Technology
Authors: Lin Long , Yang He , Wang Yue , Shi Cuncun 
Published: April 2020

Abstract
Application development often faces problems such as demand changes, long cycle, and low efficiency. This paper attempts to solve such problems with automated generation technology. The article abstracts the design and development process of a typical application system; analyzes the key issues; then, after designing the overall architecture of the builder, it describes the design of interface presentation layer, control layer (business logic layer) and data model layer; finally this paper describes the challenges encountered by the builder and improvements in practice.
Multimodal Physiological Signal Emotion Recognition Based on Convolutional Recurrent Neural Network
Authors: Liao Jinxiang , Zhong Qinghua , Zhu Yongsheng , Cai Dongli 
Published: April 2020

Abstract
In order to solve the problem that the emotion recognition rate of single-mode physiological signals is not high in the physiological signals based emotion recognition, in this paper, we propose a convolutional recurrent neural network based method for multi-modal physiological signal emotion recognition task. The method used convolutional neural network to learn the spatial representations of multi-channel EEG signals and the Long Short-term Memory network to learn the temporal representations of peripheral physiological signals (EOG, EMG, GSR, RSP, BVP, and TMP). The two representations are combined for emotion recognition and classification. In the two emotion dimensions of Arousal and Valence, our experiments conducted on the open source dataset DEAP shows that, this method achieve 89.68% and 89.19% average accuracy in the EEG emotion classification, 63.06% and 62.41% average accuracy in the peripheral physiological signal emotion classification, 93.06% and 91.95% average accuracy in the combined feature emotion classification. The experimental results show that the convolutional recurrent neural network based method that we proposed efficiently extract multi-modal physiological signal feature to improve the emotion recognition performance.
The prediction of building heating and ventilation energy consumption base on Adaboost-bp algorithm
Authors: Sun Lunan , Wei Qi , He Lipeng , Yin Zihe 
Published: April 2020

Abstract
Particularly In the nowadays, under the environment of increasing severe weather, buildings become consumers of energy resources that cannot be ignored, the hvac is one of the most important energy consuming equipment in the building, it has great practical significance and practical guidance for energy consumption prediction and optimization to reduce overall energy consumption and cost. The Adaboost-BP model based on integrated learning algorithm can not only improve the prediction accuracy of BP neural network algorithm model, at the same time, the defects of BP neural network algorithm such as falling into local minimum and slow convergence speed can be corrected. Moreover, the integrated learning algorithm has low requirements for weak classifiers and almost no need to adjust its parameters, so it has a wide range of use and good robustness. The building cannot be ignored as energy resource consumers, and hvac, as one of the main energy consumption equipment in buildings, prediction and energy consumption in the energy saving optimization to reduce the overall energy consumption, reduce costs. The Adaboost-BP model based on integrated learning algorithm can not only improve the prediction accuracy of BP neural network algorithm, but also correct the defects of BP neural network algorithm such as falling into local minimum value and slow convergence speed. Moreover, the integrated learning algorithm has very low requirements for weak classifiers and almost no need to adjust its parameters, so it has a wide range of use and good robustness .In conclusion, the energy consumption forecasting and optimization scheduling based on data-driven have good effect to optimize the energy consumption structure of office buildings, save energy resources, reduce greenhouse gas emissions, and reduce the impact on the power grid caused by the increase of demand from users during the peak period of electricity consumption, also provides a design idea for distributed energy network design.
Design of the Electric Control System for the Cleaning Equipment of Pigsties
Authors: Shao Jinfa , Shi Juncheng , Tao Jie 
Published: April 2020

Abstract
According to the control requirements of cleaning equipment, this paper designs corresponding electrical control system the design detection system is designed to realize horizontal and vertical positioning of cleaning mechanism with electromagnetic proximity switches. The control circuit is designed with a VB1 model PLC as main controller, the system control flow is analyzed to switch the steps of entering a pigsty, collecting pig manure, and returning and dumping pig manure.
Analysis on the schemes of 330kV Power Transformer Long Time Induced Voltage field Test based on GB/T1094.3 release version
Authors: Bao Yanyan , Zhang Guangdong , Yang Junting , Liu Kang , Wen Dingjun 
Published: April 2020

Abstract
The principles of 330kV power transformer long time induced voltage field test are introduced in the paper, the varieties of key elements on the test are analysed on GB/T1094.3 release version, some suggestions about test and schemes are suggested finally.
Fuzzy-based Sliding Mode Control of Chaotic Oscillation in Power System
Authors: Gao Wen , Xiao Haifeng , Ma Zhao , Qiao Shejuan 
Published: April 2020

Abstract
Power system will occur chaotic oscillation when it is exist periodic load disturbances. As for it, the simplified mathematical model of interconnected two- machine second-order power system is established based on the modelling and analysis of nonlinear system theory, and the dynamic behaviour of chaotic oscillation in power system is analysed. According to the sliding mode control and fuzzy control theory, the fuzzy-based sliding mode control is proposed, it is also analysed and proved theoretically. Simulations results show that the proposed method can suppress the chaotic oscillation in power system effectively. It not only reduce the convergence time, but also reduced the chattering of the system, and has strong robustness.