bluuebunny/crossref_metadata_2025 huggingface dataset:
Technology on Settlement Control of Large Diameter Shield Traversing Closely Beneath High-pressure Gas Pipeline for Metro Tunnel
Authors: Li Xinqiang , Wen Renguang , Li Wei , Pan Zhiwei , Wang Fuqian , Shen Peng
Published: January 2021

Taking the project of sectional tunnel traversing closely beneath high-pressure gas pipeline on Weiqing Line between Xinglong Station and Tianfuxin Station in Chengdu Metro Line 18 for an example, the technology controlling the settlement is studied. Based on the reinforcement isolation grouting with inclined boreholes, driving control parameters of shield and grouting behind the sectional tunnel lining with deep holes, the control technology on the large diameter shield passing closely beneath high-pressure gas pipeline is established for metro tunnels. The application of this technology controls the settlement of high pressure gas pipe within - 4mm, less than - 5mm, which verifies the practicability of this technology. At the same time, it greatly improves the stability of pipeline, guarantees the safety of pipeline operation, and provides the reference for similar projects in the future.
Smart Shoe Storage Controlled by One-Chip Computer
Authors: Liu Yuxi , Zang Tianshuo , Xu Bingzhou , Wu Xinyi , Qian Yizhen
Published: January 2021

This product is a smart shoe cabinet, which is designed for domestic shoes storage and brings convenience for families to put shoes. Its mechanical structure mainly includes a drive module, a shoe rack module and a seat module. The electrical control part mainly includes 51 SCM, Raspberry Pi and various sensors. This shoe cabinet adopts a unitized module design. According to the demand of the residents for the shoe cabinet, this Smart Shoe Storage can be combined casually at the users’ will and unitized to make it suitable for various apartment types.
Evaluation and Analysis of RT Suspected Defects on Reactor Pressure Boundary Weld
Authors: Yang Bo , Deng Qiang , Chen Cong , Zhang FengShou
Published: January 2021

The control rod driving mechanism (CRDM) is one of the important equipments in the nuclear reactor, and its sealing shell is part of the pressure boundary of the nuclear reactor. The sealing shell is a pressure vessel made of two different material (austenitic stainless steel and nickel base alloy) cylinders welded by dissimilar metal welds. Product production process, in this dissimilar metal weld ray detection found suspected defects show. In this paper, the mechanism and process of the suspected defects are expounded through experimental verification, and it is proved that the suspected defects do not affect the quality of the weld.
Research on control strategy of hybrid electric ship based on minimum equivalent fuel consumption
Authors: Liu Han , Wang Yucheng , Gao Diju
Published: January 2021

In order to improve the economy of the hybrid electric-electric ship, the parallel hybrid electric ship is taken as the research object, and an energy control strategy of the electric-electric hybrid ship based on the minimum equivalent fuel consumption is proposed. The efficiency factor and its correction function are used to maintain the balance of battery power, and the target optimization function is adjusted to control the power consumption rate of the power battery, thereby realizing the optimization of the control strategy for the traveling ship. Finally, Matlab/Simulink is used for simulation. The experimental results show that when the control strategy with the minimum equivalent fuel consumption is used, the fuel consumption is 1.95L less than the CD-CS-based strategy, and the fuel saving rate is 31.2%. At the same time, the engine and motor work Efficiency is greatly improved.
Study on Chlorophyll Content in Visible-Near Infrared Spectroscopy
Authors: Liu Jinbao , Zhang Lu
Published: January 2021

Chlorophyll, as an important factor for the normal growth and development of plants, is of great significance for the management of agricultural water and fertilizer. In this study, the chlorophyll content of maize leaves was taken as the research object, and the chlorophyll content prediction model was quantitatively studied. ASD FieldSpec Pro spectrometer was used to measure the spectral reflectance of the leaf samples, and the spectral curve characteristics of different contents were analyzed. The results show that: (1) The reflection spectrum undergoes the nine-point smoothing of Savitzky-Golay and combines with the MSC, NOR, and SNV transforms to significantly increase the signal-to-noise ratio of the reflection spectrum. The combination band with higher correlation can significantly improve the stability and prediction of the model ability. (2) In the PLSR model, MSC processing is performed on the smoothed spectrum, and the model established after the second-order differential transformation has the best effect, Rc2 = 0.95, RMSEC = 2.32, SEC = 1.35.
The Pressure Control of High-pressure Tubing
Authors: Chen Hongliang
Published: January 2021

This article mainly studies the pressure control of high-pressure tubing. Based on the theoretical basis of the pressure formula, a pressure variation model based on the pressure formula is established and solved by the enumeration method within the range. In the process of solving the model of the open time of the one-way valve in the problem, first, establish a model of the pressure change of the inlet and outlet oil. Using integral thinking, we get the oil density under each pressure. Based on the tubing pressure requirements in the corresponding time period together with the relationship between the net mass of the inlet and outlet oil per unit time, the relationship between the opening time of the inlet valve and the pressure is obtained by using the principle of the inlet valve opening time to control the inlet mass. The results of the corresponding pressure requirements are obtained through the enumeration method within the range.
Research on Optimization of Key Parts of Nuclear Reactor Based on Finite Element Simulation
Authors: Yang Bo , Yu Tianda , Deng Qiang , Chen Cong , Zhang Fengshou
Published: January 2021

In view of the higher technical requirements of the third generation PWR for the control rod drive mechanism (CRDM), China's third generation nuclear reactor CRDM hook parts are designed to multi-tooth hook with wear-resistant surfacing. The surfacing welding process is simulated and optimized based on finite element simulation, and reasonable welding process and parameters are determined by simulation results in this paper.According to the optimized welding process, the parts are trial-produced, and the parts of the hook are subjected to metallographic inspection, hardness test and thermal life test. The results show that the optimized hook parts have high hardness and wear resistance, and meet the requirements of the third generation PWR nuclear power plant.
Solar PV Market Research and Industry Competition Report
Authors: Zhang Jiaxuan
Published: January 2021

Solar Industrial scale continues to expand. The world installed photovoltaic capacity gradually increased from 135GW in 2013 to 480GW by the end of 2018, achieved 3.5 times growth during five years. There will be still have space for price reduction. With the development of solar cell structure design, micro-nano laser precision machining and other technologies, the per-kilowatt cost of photovoltaic power generation has entered decline channel, and it is expected to realize the affordable online in the future. According to IHS, the price difference between PERC single crystal components and polycrystal components is $0.055 per watt. Industrial technology has made obvious progress, and single crystal PERC has become the mainstream. The efficiency of the cell is breaking new records. The conversion efficiency of ordinary single-crystal and polycrystalline cells has reached 20.2% and 18.6% respectively, and the efficiency of high-efficiency batteries has reached 21.3% and 19.2% respectively. According to data released by Solarbe, the single crystal PERC technology performs best in cell conversion efficiency and output power compared with other technologies. In the next four years, China's market growth will remain stable at 40-50GW. IHS Markit forecasts that the global market size is expected to remain stable at 100-120GW from 2018, while the growth of the Chinese market will remain stable at 40-50GW in the next four years.
Research on Parameter System Identification Characteristics of Physical Exercise Population in Gansu Province Based on Walking and Taijiquan
Authors: Guo Qiurong , Zhang Wanjun , Gou Xiaoping , Li Bingze , Yang Chunhua , Yang Aihong
Published: January 2021

Walking, Taijiquan and other urban sports in Gansu Province is an important factor to improve the quality of competitive sports. In this paper, the characteristics of parameter system identification of urban sports population in Gansu Province are established, and the development characteristics of all social strata of urban sports population in Gansu Province are investigated by mathematical statistics and MATLAB simulation. It provides a reference for the study of urban physical exercise population in Gansu Province. The simulation results verify the feasibility and effectiveness of the parameter system identification method of the urban physical exercise population in Gansu Province, which has important application and reference value in the theoretical research of scientific research. In order to promote the harmonious development of all social strata, we should establish the correct orientation of gender value and strengthen the construction of sports ecological environment.
Research on the thermal characteristics of steady-state energization of pressure-controlled materials used in transfer fault current limiters
Authors: Sun Chao , Dong Enyuan , Zhang Liyan , Zhu Yu , Xue Shutian
Published: January 2021

In recent years, there have been more and more researches on fault current limiters. Pressure-controlled materials with piezoresistive effect can be used in current transfer type fault current limiters. Titanium diboride powder is a material with piezoresistive effect, and its resistance is negatively correlated with pressure changes. In the current transfer type fault current limiter, The pressure-controlled materials is the main branch of the current transfer circuit. A large amount of heat will be generated in the steady-state current working state, in turn, the temperature rise in the pressure-controlled materials container continues to increase. On the one hand, excessive temperature rise will affect the resistance of the titanium diboride powder, resulting in the actual flow capacity not reaching the design standard; On the other hand, the accumulation of heat in the material will accelerate the aging of the material and the outer container, thereby reducing the actual service life and even affecting the material's insulation performance and causing safety hazards. This article focuses on the characteristics of the piezoresistive effect of titanium diboride powder, use permanent magnet-repulsive mixing mechanism to provide holding pressure for it. Study the long-term through-flow heat effect with pressure under the cylindrical parallel through-flow container. According to its heating and structural characteristics, several heat dissipation methods are proposed in combination with simulation, and the experiments are carried out. Through simulation and experimentation, The installation of vertical heat sinks and the simultaneous application of industrial fan cooling can effectively reduce the current heating effect. It has important guiding significance for its use in the field of current transfer and current limiting to achieve long-term current flow.
Photovoltaic Power System Fault Warning based on State Assessment
Authors: Wang Dong , Xie Xiangying , Na Zhixiong , Shen Wentao , Fan Xuening
Published: January 2021

The stability of photovoltaic power system is very important. A small fault in one component can cause a large damage on the whole power system. This paper aims to propose a method to evaluate the stability of photovoltaic power system so that we could take measures in advance to avoid greater losses. This paper studies how we assess the status of a power grid. To assess the status of power grid, we select some fault which is often occur in photovoltaic power system. Then we build a fault tree based on the photovoltaic power plant network. Finally, we substitute the probability of various faults into the fault tree for analysis and prediction. According to probability of failure at this moment and coefficient, we can calculate how the system running at this moment. In this paper, the early fault warning of photovoltaic power system: firstly use machine learning methods to pre-process the original data, eliminate redundancy and noise, then run regression analysis on pre-processed data and get the failure rate of a certain time. Take the example of a photovoltaic power system in China, through learning and verification of fault data, our method can effectively realize the early fault warning of photovoltaic power system.
Simulation and Test of Spindle Mode of Planetary Variable Speed Device
Authors: Zhang Qiang , Li Shenlong , He Rong , Li Hongwu
Published: January 2021

Spindle is the main bearing part of high speed tracked vehicle transmission device, which needs to carry large power and torque. Modal testing can provide basis for the verification and modification of the dynamic model of transmission structure, response prediction, vibration control, qualitative analysis and dynamic coupling analysis of transmission system. In this paper, the mode of the spindle is simulated by finite element method, and the free mode of the spindle is tested by hammering method. The results show that the modal mode simulated by finite element method is consistent with the mode tested, and the error range between the measured modal frequency and the simulated modal frequency is less than 3%. The simulation and test of spindle mode have important theoretical significance and engineering application value for realizing the optimal design of spindle.
Driver Cell-phone Use Detection Based on CornerNet-Lite Network
Authors: He Anqing , Chen Guohua , Zheng Wei , Ni Zhenhao , Zhang Qingqing , Zhu Zhongjie
Published: January 2021

Driver requires a high level of concentration when driving at high speed. Cell-phone use while driving can cause serious problems. To solve this issue, this paper proposes a proposal scheme about driver cell-phone use detection based on CornerNet-Lite Network. The scheme can eliminate the traffic accident risk caused by cell-phone use through detecting driver cell-phone use. The scheme includes two stages: model training and simulation test. Firstly, the data set of cell-phone use was established. Secondly, the data set was preprocessed by the preset processing method. Finally, the CornerNet-Lite network architecture was optimized to reduce the training time and improve the detection accuracy and real-time detection. Through a large number of experiments, the results showed that the scheme had a good detection effect, with the accuracy of 86.2% and with 30fps. Under the noise interference of simulated cab environment, it still had a high robustness.
Smart Operation and Maintenance Platform of Protection Relay Based on Mobile Sensing and Big Data
Authors: Liang Wenwu , Ouyang Fan , Wang Shannuo , Zhu Weijun , Li Gan
Published: January 2021

In order to solve the current network limitations and human-computer interaction limitations of relay protection and automation in power systems, an intelligent operation and maintenance management platform for electrical secondary equipment based on mobile sensing and big data is proposed. First, the existing problems in the standardization operation and data integration in the relay protection work at this stage are explained, and the significance of the construction of this platform is pointed out. Then the application modes of mobile sensing technology and big data technology in power system is analyzed, proposing the system architecture and functional architecture of the system, and the interaction mode between the mobile terminal and the master station in the system is explained. Finally, the specific functions of the system's standardized operation process and intelligent operation inspection are explained, and the effects of the intelligent operation and maintenance control of the secondary equipment under the original mode and the new mode are compared.
Demand response potential of customer-side integrated energy system
Authors: Zhao Wei , Wang Jingtao , Jiang Dongmei
Published: January 2021

Fully utilizing the adjustable potential of integrated demand response (IDR) in customer-side multi-energy system is the effective way to improve energy efficiency, decrease energy cost during supply and use, and reduce the risk of default on the customer-side. In this paper, we propose an adjustable potential analysis method of customer-side IDR considering multi-energy coupling and conversion relationships. First, we classify the loads based on energy characteristics, establish the corresponding load response model. Then, construct an adjustable potential analysis model which is constrained by multi-energy output and energy balance before and after, aimed at lowest energy operation cost on the customer-side, using linear programming algorithm for model optimization. Finally, verify the correctness and effectiveness of the model by analyzing the impact of loads reduction on response in experimental case.
Analysis of Influencing Factors of the Ice Shedding Vibration on Iced Transmission Lines
Authors: Zhang Long , You Yi , Yan Zhitao , Nie Xiaochun , Wang Feng
Published: January 2021

In order to study influencing factors of the ice shedding vibration on iced transmission lines. Based on the principle of nonlinear finite element analysis, the influences of the modal of conductors, the quality of the ice on ice shedding vibration response of transmission lines was analyzed by means of changing the density of transmission lines. The results show that the simulation method is reasonable and accurate. The worst condition of ice shedding on transmission lines depends on its basic vertical vibration mode. the relationship of the vibration displacement with the mass ratio of iced transmission lines both present the nonlinear proportional law.
The Development of Internet of Things Industry in China from The Perspective of Industrial Economics
Authors: Wu Guanghua
Published: January 2021

The continuous development of modern science and technology puts forward higher requirements for China's Internet of things technology. In this process, the industrial development of Internet technology is an important part of its work, and relevant departments must pay more attention to it. This paper first analyzes the development mode of the Internet of things, and then on this basis, comprehensively explores its development strategy.
Information Acquisition Function of Intelligent Meter Measurement and Control Unit in Electric Energy Information Acquisition and Monitoring System
Authors: Shi Shaoqing , Zhang Leping , Zhang Bensong , Peng Jianzhong
Published: January 2021

The traditional smart meter is relatively solid in the hardware architecture design, and gradually can not meet the needs of energy measurement and control in the future. After the in-depth analysis of the metering function will be affected by various external factors, the paper designs a new hardware structure of "dual core- one expansion module" smart meter, through the actual scheme of separation of metering core and management core The measurement and control chip with various parameters is integrated in the expansion module, which is processed and calculated by the management core, so as to realize the localization protection and alarm function of intelligent meters. Combined with the application status of energy Internet, this paper designs the position and function support scheme of the new smart meter in the energy network, and verifies the practical problems to be solved after adding a variety of measurement and control function modules. The research results have a good reference significance for the development of smart meters and meter master control in the future.
Hardware Design of an Image Acquisition Device for Target Observation and Tracking
Authors: Bian He , Zhang Haifeng , Wang Hua , Huang Jijiang
Published: January 2021

In order to observe and track the separated targets in the air, This paper presents a hardware image acquisition platform based on three-way camera + FPGA + two-way DSP, Xilinx artix-7 series xc7a200t-2fbg676i FPGA is used as the main processor. It is mainly responsible for high-speed image acquisition, preprocessing, transmission and display, TMS320DM368 DSP of Texas Instruments is used as image compression processor. After receiving the image transmitted by artix-7 FPGA, the image H.264 is compressed. This architecture solves the delay problem of traditional image acquisition system in hardware architecture level, and realizes the real-time and high-speed image acquisition and processing. At the same time, the hardware has the basis of multi-channel image acquisition, multi-channel image compression, visible light and infrared camera acquisition data fusion.
The Application of Improved Neural Network Algorithm Based on Particle Group in Short-term Load Prediction
Authors: Ning Yuan , Zhang Tianyin , Zhang Teng
Published: January 2021

Short-term load forecasting is the basis of power system operation and analysis, and is of great significance to unit composition, economic scheduling, safety verification and so on. In modern power system, the influence of meteorological factors on power system load is becoming more and more prominent. However, the traditional model fails to take into account the weather factors that affect the load change, and when the weather changes greatly, the model prediction error is large. Therefore, based on the factor analysis of five meteorological factors, a neural network prediction model combining particle group algorithm is established, and the working day load of a region is predicted, compared with the actual load, the average relative error is 1.24% and the maximum relative error is 6.50%. It shows that the model has high precision. The prediction results of the model also provide the basis for the load adjustment of the power system.
Research on Effective Management and Control team System of Power Grid Based on Internet Technology
Authors: Zhang Wenwen , Wang Gang , Kong Bin , Xu Yuan , Shen Yi
Published: January 2021

In the safe production and operation of electric power, grassroots teams have undertaken the main work. How to effectively control and control teams is an important issue in the power grid. This paper has designed the mobile internet management technology based on "Internet+" for mobile teams, including mobile operating terminals based on Android. Design and development, large-screen display of work order management and control based on GIS and development of web-side background management platform. The team basic management system is convenient and flexible in managing all links of team basic information. Have good Ground scalability central system to meet the development of various new personalized services, effectively improve the basic management of teams, Scientific scientific level.
Optimal V2G Method Considering Uncertainty of Distributed Generation and Load
Authors: Fu Xiao , Xu Yuzhe
Published: January 2021

The penetration of electric vehicles (EV) has brought many benefits to the active distribution network due to their unique advantages. But, EV also has negative impacts on the distribution network for their uncertainty. Moreover, the integration of distributed generation (DG) and the uncertainty of load demand also increase the negative impacts of EV on the distribution network. In this paper, optimal vehicle-to-gird (V2G) method considering uncertainty of distributed generation (DG) and load was proposed to reduce the negative impacts by minimizing the load peak-valley difference and maximizing the user economic benefits. To reduce the uncertainty of DG, we combined particle swarm optimization (PSO) and backpropagation neural network to create a prediction model to predict the output of DG. And Time-of-use (TOU) is used to optimize the load curve. Finally, the optimal charging and discharging time in a day can be obtained by improved particle swarm optimization algorithm (IPSO). The proposed method is verified by numerical analysis, which highlights that the proposed V2G scheduling can significantly improve distribution network stability and user economic benefits.
Fusion Model of Short Fault Recognition Based on DBN and DNN
Authors: Chen Ming , Xie Sisi , Wang Yunan , Ouyang Hao , Lan Senlin , Wang Yefeng
Published: January 2021

In order to ensure electrical safety, improve the ability to accurately identification of the short fault in the household circuit, we propose a fusion model based on Deep Belief Network (DBN) and Deep Neural Network (DNN). The fusion model consists of an unsupervised pretraining stage and a supervised learning stage. In the pretraining stage, a DBN which denoises the high-dimensional current data and extracts highly abstract features. In the stage of supervised learning, a DNN to learn the relationship between the features extracted and the target classes so that classify the circuit state. And the the initial parameters of DNN are given by pre-trained DBN before the latter stage. Lastly, the model is optimized by backpropagation algorithm, so as to reduce the training time and speed up the convergence speed of DNN. Besides, the current data obtained from MATLAB/Simulink simulation platform is used to train the fusion model and verify its accuracy. Experiments show that the fusion model achieves 95.67% accuracy.
Design and Analysis of Permanent Magnet Parameters for Interior Permanent Magnet Synchronous Motor
Authors: Wang Xiuping , Yang Chuhan , Li Yan , Qu Chunyu
Published: January 2021

For improving the performance of a 3 phase 6 pole 48 slot 55kW interior “—” permanent magnet synchronous motor, the permanent magnet parameters are optimized by using finite element simulation software with the variables of permanent magnet embedding depth, permanent magnet thickness and pole arc coefficient. In order to reduce the torque of the motor slot and increase the no-load counter electromotive force within the allowable range, the permanent magnet parameters are optimized. The results show that the motor has the best performance when the depth of permanent magnet is 251mm, the thickness of permanent magnet is 19mm and the polar arc coefficient is 0.8mm.This research result has certain reference value in practical application.
Research on Informatization Construction of Digital Substation in Smart Grid
Authors: Guo Yue , Yuan Hui , Zhuang Yan , Xu Jie , Zhang Yintie
Published: January 2021

The thesis is based on the premise of the technological change of digital substations. Four key points in digital substation. On the basis of technology, the "smart" characteristics of smart substations in the smart grid system are proposed and the functional architecture of smart substations is built, which reflects the informatization, digitalization, automation and interaction of smart substations from multiple angles. The current problems in the research and construction of smart substations are put forward, and the resulting research topics are analysed. Aiming at the development trend of intelligence and integration of various equipment in substations, a new system integration architecture design concept is proposed, and the specific architecture and networking methods of smart substations are elaborated.
Explore the molecular mechanism of Moslae Herba’s antiinflammatory based on network pharmacology
Authors: Kong Juan , Fang Rongze , Yang Xiaosong , Huang Xulong , Wang Xiangpei , Wu Hongmei
Published: January 2021

Moslae Herba has the function of inducing sweating to releasing exterior, removing dampness for regulating stomach. It is often used clinically in the treatment of summer heat dampness syndrome, fever in summer, acute enteritis, and herpes pharyngitis in children. There have been more studies on anti-inflammatory effects of Moslae Herba. However, research on the anti-inflammatory mechanism of Moslae Herba is rarely reported. Therefore, in this paper, a network pharmacologic approach was adopted to explore the potential molecular mechanism of the active ingredients in Moslae Herba for the anti-inflammatory. Firstly, all chemical components of Moslae Herba were searched through TCMSP, TDT, TCMID and other databases. According to ADME parameters (OB ≥ 30% and DL ≥ 0.18), the active ingredient in Moslae Herba was screened. Secondly, the targets of active chemical components were searched by traditional Chinese medicine target database, TCMSP database and BATMAN-TCM database, and the target data sets are established. PPI analysis and STRING database were used to construct a protein interaction network for the target of Moslae Herba active ingredients and inflammation. Finally, Cytoscape 3.6.1 software was used to construct a complex network diagram of “drug components-targets-disease”. GO functional and KEGG pathway enrichment analysis were performed by DAVID. As a result, 13 active compounds were screened out of 161 compounds. These active compounds were retrieved from 309 targets, and 143 potential targets were most closely related to the anti-inflammatory mechanism of action of Moslae Herba. Through GO biological function pathway enrichment analysis and KEGG pathway enrichment analysis, 20 biological processes and 20 signal pathways were screened. It is suggested that the active ingredients of Moslae Herba may regulate the inflammation mechanism through the main pathways such as Pathways in cancer, Tuberculosis, PI3K-Akt signaling pathway, HIF-1 signaling pathway, TNF signaling pathway.
Kinetic model for the enzymolysis of Paphia undulate by marine low-temperature alkaline proteinase
Authors: Zhang Yongli , Xu Song , Chen Xin , Chen Hua , Sun Huili , Xu Feng
Published: January 2021

The kinetics of enzymatic hydrolysis of paphia sinensis was studied. The molecular weight distribution of the small peptide mixture was determined by liquid and mass spectrometry. The effects of initial substrate concentration on enzymatic hydrolysis reaction, the effects of initial enzyme concentration on enzymatic hydrolysis reaction, the effects of enzymatic hydrolysis time on enzymatic hydrolysis reaction and the mechanism of enzymatic hydrolysis reaction were investigated. In this experiment, the basic kinetic model of enzymatic hydrolysis of protein was derived, and the kinetic parameters and enzyme inactivation constant were determined.
A Simulation Study on the Effect Factors of Oxygen-free Copper During Nano-micro Scratching Tests
Authors: Zhong Yuexi , Xiao Dongya , Yao Xueping
Published: January 2021

With the development of materials science and technology, industry demand for increasingly high performance materials. In recent years, the research on the friction and wear characteristics of materials has become a research hotspot as one of the most important factors of service performance. In this paper, a study of oxygen-free copper in micro-scratching process using smooth particle hydrodynamic method is taken to study the micro-mechanical properties of materials. It also has important significance for the micro-groove processing mechanism and material processability study.
Establishment of Rice Freshness Evaluation System and Quick Inspection Method
Authors: Wan Juan , Ying Linghong , Dai Yuanwei , Li Xin
Published: January 2021

This paper combines chemometrics methods to study the correlation between physical and chemical quality characteristics, thermodynamic properties, texture characteristics and flavour substances during rice aging, and screens for key flavour substances that characterize changes in rice aging and establish new aging. Degree evaluation system, develop accurate and rapid inspection methods and detection boxes for grain maturity, and promote their application. The thesis has important practical and strategic significance to realize the safe storage of rice, save energy and reduce damage, and improve the quality of stored grain.
On Computer Assisted Language Learning (CALL) and Change of Teachers’ Role
Authors: Wang Zhen
Published: January 2021

In recent years, being a fast developing method in language learning area, the Computer Assisted Language Learning (CALL) is widely used in language learning in the world. CALL provides a totally different new mode for language learning. Hence, it increases quality and efficiency of language learning. Through perfect combination of contents, process and computer-assisted, CALL pays attention to stimulate students to learn languages with the assist of computer and pursues best learning results. With the brief introduction of CALL, the thesis fully explores teachers’ roles in the Computer-Assisted Language Learning. With the new achievements in Computer Science, Information Technology and Psychology, CALL will be closely connected with Computational linguistics to increase the intelligence of language learning system.
How to design “Three Lines and One List” system in local regulations—Taking Regulations of Jilin Province on ecological and environmental protection as an example
Authors: Li Yuanshi , Duan Haiyan
Published: January 2021

Scientifically frame the red line of ecological protection, the bottom line of environmental quality, the upper limit of resource utilization, compile the list of environmental access (“Three lines and One List”), and establish a differentiated environmental management and control system covering the whole land space, which has a Great significance for promoting the harmonious coexistence between man and nature. On the basis of analyzing the contents and orientation of “Three lines and One List”, this study takes relevant system design in Regulations of Jilin Province on ecological and environmental protection as an example to analyze the orientation and challenges of formulating “Three lines and One List” in Jilin Province. Through the study of relevant system design in China and other China’s provinces and cities, this paper presents the design of “Three lines and One List” system in Jilin Province, which provides reference for the design of “Three lines and One List” system in local regulations. The research shows that it is necessary to strengthen the constraint of “Three lines” and the delicacy management of “One List”. Differ from most other provinces and cities who has formulated only one legal provision in relevant regulations, Jilin Province formulated four relevant legal provisions in Regulations of Jilin Province on ecological and environmental protection to prominence the importance of “Three lines and One List”.
Network mining of students’ friend relationships based on consumption data of campus card
Authors: Yang Wei
Published: January 2021

This paper takes campus card consumption data as the research object to min e the friend relationship of students. Firstly, the bipartite network of the card consumption data is mapped to a single-point network, and the Poisson distribution is used to obtain the statistically co-occurring friend relationship network, and then the friend relationship network is further filtered by the order and number of students queuing. Finally, taking a certain college as an example, the friend relationship network diagrams of the college's students in 2018 and 2019 were constructed respectively.
Research on Energy Saving and Emission Reduction Technology Based on Field Communication and Embedded Control Computer Data Exchange Algorithm
Authors: Qian Pingping
Published: January 2021

In addition to meeting the basic characteristics of traditional transactions, the concurrent control of embedded mobile real-time transactions should also focus on priority inversion, unnecessary transaction restart and global data consistency, performance of hybrid transaction systems, energy saving and emission reduction. When using traditional control algorithms, scheduling control is mainly based on data structure characteristics, and it is easy to cause data stack congestion. In order to solve the above problems, a stack scheduling control method of embedded data structure using multi-parameter neural network is proposed. Combined with the widely used switched Ethernet technology in defences, communications, aerospace, industrial control and other fields, a prototype of a star topology embedded software test system is introduced.
Research on Lightweight Technology of new carbon fiber wheel hub structure
Authors: Chu Dianming , Bai Wenjuan , He Yan , Ye Mingrui , Li Junwei
Published: January 2021

In this work, carbon fiber is used as rim and magnesium alloy as wheel hub for new design of wheel structure, making the material give full play to its properties. We use the technology of simulation analysis, dimension optimization, and topology optimization to analyse the performance of new structure. When the wheel hub meets the requirements of commercial vehicle wheel performance and test methods (GB/T5909-2009), the material weight loss of the product is 48% and the structure weight loss is 13.8%. The accuracy of the simulation and the superiority of the new technology are proved. These methods provide a new way of thinking and method for the study of lightweight technology in the future.
Experimental study of excessively-long translocation time of single DNA through sub-5 nanometer solid-state nanopores
Authors: Zhu Xin , Li Xiaojie , Gu Chaoming , Liu Yang
Published: January 2021

Excessively-long translocation events of single DNAs are experimentally observed using a small nanopore. Solid-state Nano pores on SiNx membranes with pore diameters less than 5nm are fabricated via Transmission Electron Microscopy. The translocation testing system is set up based on patch-clamp and Lab-on-Chip, and translocation experiments of Lambda DNAs are conducted. Stable current traces and single molecular translocation events are achieved. Statistical analysis under various cross-membrane voltages shows typical characteristics of SiNx Nano pores, including event rates, threshold voltages, and noise power-spectrum-density. Particularly, excessively-long dwell time (>100ms) events through <5 nm nanopore are observed and attributed to the interaction between DNAs and pore walls. This characteristic is compared against the basic current-blockage model as well as that of a 10 nm nanopore control experiment, demonstrating additional blockage effects.
Research on Text Emotion Analysis and Product Performance based on NLP and VAR Model
Authors: Wei Zhongji , Han Baiyang , Zhou Enxian
Published: January 2021

Customers’ evaluations, in terms of text or ratings, are important sources of information for online shops to decide products and marketing strategies. In this paper, we discuss methods to conclude and predict merchants’ performance and characteristics of customers’ behavior of target products based on Amazon dataset. First, we design a Natural Language Processing (NLP) model, Amazon-BERT, to predict text to rating based on transfer learning. We improve the model accuracy by 20% compared to the original pre-trained BERT, and we use the predicted rating in our following steps of modeling. Second, we use PCA to extract 5 principle components, which estimate review’ s popularity, product’s reputation and so on. And then, for pacifier, we find that vector auto regression (VAR) model fits better, we apply it to the regression and doing a Granger causality test. Finally, we looked at the impulse response and variance decomposition. All 3 factors included do have a small impact.
Dirt Classification of Silicon Wafers Based on Deep Learning
Authors: Li Xingxing , Duan Chao , Zhi Yan , Yin Panpan
Published: January 2021

Deep learning technology is now widely used in the industry, and some irregular blemishes and stains can be solved by deep learning methods. In this paper, the deep learning resnet network is used to classify and judge the dirt that appears on the silicon chip. It is a residual network structure. The mapping relationship between layers is realized through jump connections to ensure that the number of network layers’ increases. In the process of gradient backpropagation, there will be no gradient disappearance and gradient explosion, and the goal of training deep networks is achieved. This article is to apply the resnet deep neural network on the silicon wafer image to make a certain area on the silicon wafer make the right judgment for the dirty problem.
Evaluation of the effect of two Extraction Methods on the Components of Essential oil of Trifolium pratense L. by GC-MS
Authors: He Chunlan , Zhang Gangping , Yang Zhao
Published: January 2021

In order to make full use of Trifolium pratense L. resources, GC-MS was used to evaluate the effects of two extraction methods on the volatile oil components of Trifolium pratense L. A total of 96 compounds were identified by GC-MS from the volatile oil of Trifolium pratense L. extracted by petroleum ether (PE) method and by steam distillation (SD) method. 67 and 42 compounds were identified respectively, with a total peak area of 2.14 × 109 and 1.83 × 108 respectively. The relative percentage of the volatile oil extracted from Trifolium pratense L. by PE method was higher than that of the others, which were Tetracontane (19.70%), Oleic acid (14.21%), 9,12-Octadecadienoic acid (12.51%) and 1 - (+) - Ascorbic acid 2,6-dihydroxadecanoate (12.13%). The relative percentage of the volatile oil distilled from Trifolium pratense L. by SD method were 13 -docosenamide (28.52%), 7,9-di-tert-butyl-1-oxaspiro (4,5) deca-6,9-diene-2,8-dione (3.34%) and L - (+) - ascorbic acid 2,6-dihexadecanoate (2.34%). There were rich compounds in the volatile oil of Trifolium pratense L. Compared with SD method, PE method has higher kinds of compounds and total peak area.
Investigating the Feasibility of a Cushion Selection Method on Polyethylene Based on a Predictive Model
Authors: Li Ziyang , Li Jingran , Ding Meng , Peng Qiayuan
Published: January 2021

Cushion materials are very popular and widely used in various applications. Cellular solid has been used for cushioning for many years due to its low weight and high energy absorption capacity. Cushioning selection is the process of selecting a cushioning material to sufficiently cushion an object. There are a few cushion selection methods available in literature. The objective of this report is to investigate the feasibility of a cushion selection method based on predicting the impact absorption capacity from static compressive stress-strain data. This is achieved by comparing the predicted dimensionless deceleration (G) and the measured G. Polyethylene (foam) samples were used to conduct the compression test and drop test. For polyethylene, the predicted G shown higher accuracy at low drop height and became lower accuracy with increasing drop height. A dynamic factor C was introduced to account for the difference. From this report, researchers may explore the feasibility of this cushion selection method on polyethylene or even conduct experiments on other cellular solid specimens in the future.
A study on the extraction and classification of bearing features
Authors: Xu Ying
Published: January 2021

Bearings are the key components in rotating machinery equipment. The probability of failure occurring during use is relatively large. Bearings play an important role in the operation of the entire equipment. Therefore, it is of great significance to study bearing condition monitoring and fault diagnosis. This paper introduces the variational mode decomposition (VMD) method from the aspects of frequency separation, over-segmentation, initial convergence, and multi-modality of non-stationary signals, and analyzes the decomposition effect of VMD method on non-stationary signals through simulated signals The experiment proves that for non-stationary signals, the VMD algorithm can complete frequency separation well and overcome modal aliasing. Therefore, this paper uses the variational mode decomposition (VMD) method to study the bearing component failure, focusing on the analysis of the vibration signal of the rolling bearing failure under the background of strong noise.
Research on Detection Method of Sheet Surface Defects Based on Machine Vision
Authors: Huang Yuanmin , Yi Ming , Yang Weihang , Yang Man
Published: January 2021

The paper is based on machine vision technology to study the detection of sheet surface defects, designs the hardware system and software processing flow of online detection, introduces processing methods such as image preprocessing, image segmentation and target extraction, and processes the defect images accordingly. Use C# software to design the human-computer interaction interface and on-line debugging and on-line detection for the online detection of sheet defects. The experimental results show that the detection method is feasible, the false detection rate is low, and it can be well applied to the online detection of wood automatic production process.
Applications of Fibrin Tissue Sealant
Authors: Zhang Yuhan
Published: January 2021

Tissue adhesive is a newly discovered way to replace sutures. It has been proved to be biocompatible, biodegradable, nontoxic and possesses a fast application procedure that makes surgery more effective. Tissue adhesives have been largely created from fibrin, one of the first type of naturally derived sealants, and which has widespread applications such as surgery and drug delivery. Several types of non-fibrin tissue adhesives include synthetic cyanoacrylate, aluminum-based Bio-Glue and collagen-based adhesive. Compared to non-fibrin tissue adhesives, fibrin is more biodegradable and non-toxic. This paper will mainly focus on the applications and properties of fibrin sealants and briefly introduce the non-fibrin types of tissue adhesive.
Fe2O3-modified activated clay as Heterogeneous Catalyst for Fenton-like oxidation of the removal of methylene blue in wastewater
Authors: Ning Mencui , Yang Guisheng , Li Li
Published: January 2021

The Fe2O3-modified activated clay catalysts were prepared by precipitation method and were characterized by SEM, and XRD techniques. The catalysts were used a s heterogeneous Fenton catalysts for degradation of simulated methylene blue solution. The effects of initial pH value, H2O2 dosage, and catalyst dosage and reaction temperature on methylene blue removal rate were investigated. The results showed that, under the optimal conditions of initial pH value 3.0, H2O2 dosage 1200 mg/L, catalyst dosage 6.2 g/L and reaction temperature 30°C, 98.3% of decolorization efficiency was achieved within 60 min in a batch process. The results indicated that Fe2O3-modified activate d clay was a promising catalyst for the heterogeneous Fenton system.
Analysis of electricity production through photosynthesis in tropical climate plants
Authors: Cedeño Steven , Mora Kimberly , Juan Lata-García
Published: January 2021

A modern and competent world demands technological innovation in all areas, in the field of electricity, it has gained impressive strength since the development and implementation of clean energy sources, with advances in energy generation that we could hardly have imagined in the last century, but the need for consumption is increasing and the integration of systems capable of producing electricity in a sustainable and economic manner has never been more imperative. The use of a prototype biological cell composed of an external circuit and configured in such a way that it is possible to obtain levels of electrical energy, presents a future option for the self-sustainable development of electricity, everything is carried out together with the photosynthetic process of the plants, in the studied configuration, the oxidation of organic molecules release protons and electrons that travel through the anode and cathode properly integrated, resulting in a flow of energy easily measurable.