bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling and simulation of powder spreading of Inconel 625 based on 3DP process
Authors: Gu Hai , Sun Jianhua , Mao Baochen , Zhang Jie , Xu Yuanyuan , Jiang Jie , Li Bin 
Published: March 2021

Abstract
Three-Dimensional Printing (3DP) forming technology has the advantages of rapid forming speed, wide range of printing materials, unlimited printing shape and no need for supporting materials. In this paper, the Discrete Element Method (DEM) is used to simulate the powder spreading process of Inconel 625. The influence of powder particle shape, powder ratio, roller size and roller horizontal speed on powder spreading is simulated. The results show that the horizontal velocity of powder laying roller and the shape of powder particles have great influence on the accuracy of powder spreading. The influence of powder characteristics on the forming quality is studied. It is found that if the particle size of powder is smaller, the fluidity will be lower, and the forming quality will be better; if the particle size of powder is larger, the fluidity will be better, but the precision of the part will be reduced. The results provide a theoretical basis for the preparation of Inconel 625 by using 3DP process.
Research on the Production System of Multimedia Propaganda Films for Energy Saving and Emission Reduction
Authors: Guo Tao 
Published: March 2021

AbstractStrengthening brand building is an inevitable choice for the company to create an international advanced power grid enterprise and actively adapt to the new changes in public opinion ecology. At present, energy-saving and emission reduction is a new trend in the development of power companies and the entire energy industry. Based on this research background, this article mainly combines the research and development experience of energy-saving and emission reduction science popularization works innovation creation projects, combined with electric power companies to explore the methods and characteristics of multimedia popularization in the digital age and explore new forms of using computer multimedia and network technology for famous science creation.
Research on Key Technologies of Computer Simulation for Vehicle Engineering Engine
Authors: Tian Haoyu 
Published: March 2021

Abstract
The paper analyses the importance of simulation technology for the research and development of hybrid engines in vehicle engineering, and introduces the current development status and key technologies of hybrid engine simulation technology, and puts forward the focus of future research. Simultaneously, taking the hybrid electric vehicle as a case, through the analysis of the drive structure and work requirements, to optimize the power performance and fuel economy of the vehicle, the electric assist control strategy for the hybrid power system is proposed. The control logic formulates the driving conditions. A related control model was established, and the control strategy was simulated on the Advisor software platform. The simulation results show that the proposed electric-assisted control strategy is entirely suitable for hybrid electric vehicles. Compared with traditional vehicles, the power performance and fuel economy of the whole vehicle are further improved.
Research on Image Super-resolution Reconstruction Based on Deep Learning
Authors: Zhang Yaobin , Zhang Zhiheng , Li Tingle 
Published: March 2021

Abstract
Image super-resolution processing technology refers to the technology of reconstructing high-resolution images by using low-resolution images with mutual displacement of multiple frames of the same scene. At present, image super-resolution processing technology is widely used in image reconstruction in various fields, such as: medical images, remote sensing images, robot vision, etc. In recent years, deep learning has also been widely used in various fields, especially in computer vision and speech processing. Since image super-resolution reconstruction the method of deep learning is introduced into the technology. Due to the good performance advantages of the deep learning method, it has become an important method for the research of image superresolution reconstruction technology. In this paper, the current status of domestic and foreign research on image super-resolution reconstruction is first simplified. Then, the theory of deep learning was explained, mainly the artificial neural network theory, the related theory of super-resolution reconstruction based on deep learning, and the method of image super-resolution reconstruction based on deep learning.
Research and market survey of a campus knowledge payment platform based on distributed ledger technology
Authors: Ling Jiawei 
Published: March 2021

Abstract
Based on the distributed ledger technology, this paper designs a kind of campus knowledge payment platform, and fully investigates the market of campus knowledge payment. First, this article analyzes the existence environment of the campus knowledge payment platform, and does a certain survey of the consumption potential of the college student consumer group, then elaborates the basic principles and technical advantages of the distributed ledger technology, and then conducts the operation process of the knowledge payment platform It is expounded and finally concluded that the campus knowledge payment platform project is worthy of promotion, and has prospects and research value.
Modelling and Performance Analysis of Standard Carriers for New Types of Motor Vehicles
Authors: Sun Zhanpeng 
Published: March 2021

Abstract
Along with the continuous advancement of global economic integration, international trade is gradually increasing, in global trade, more than 80% of goods are transported through the container, and the key to further improve the efficiency of global logistics and transport is to optimise and integrate the resources and advantages of different links in the smart container industry chain. This paper establishes a high- precision simulation model based on the new standard metal container and freshness container, carries out structural design and strength analysis, and further carries out lightweight optimisation; carries out design analysis of freshness preservation and cooling performance of freshness container.
Design of simulation system for trajectory of ship
Authors: Zhang Rongjun 
Published: March 2021

Abstract
In order to master the ship’s navigation dynamics in advance and take effective actions to avoid ship collision with bridge, a simulation system of ship’s navigation trajectory is designed. The hardware part designs the ship operation controller, defines the controller pin function and connects the peripheral circuit. In the software part, Kalman filter algorithm is used to eliminate the interference in the attenuation process, calculate the trajectory of the ship, and complete the design of the system. Through setting up the experimental environment, controlling the ship navigation environment parameters, using the measuring instrument to measure the deviation value under the experimental environment as the standard value, the simulation experiment is carried out by using the system described in this paper. The results show that the minimum deviation value error of the simulation system designed in this paper can reach 0.1M, and has high simulation accuracy, which can provide support for marine safety prevention work By reference.
Research on Bridge Deck Health Assessment System Based on BIM and Computer Vision Technology
Authors: Qian Zhixin , Li Yuxiang , Chen Yaowen 
Published: March 2021

Abstract
As one of the components of the transportation system, the bridge is safe to operate due to vehicle driving, human factors, or natural factors such as wind and earthquake and the degradation of the material itself. Affected. To avoid the impact on the service life and driving safety of the bridge deck caused by these reasons, this article uses the browser side as the development end, uses the BIM bridge model technology, and combines the computer vision technology sensor data to provide a computer visualization for the bridge deck management and maintenance department. Information-based bridge health information detection and evaluation program to solve difficult detection problems, high risk, high cost, time lag, and data fragmentation in the management department.
Forecast and analysis of COVID-19 epidemic based on improved SEIR model
Authors: Gu Borui 
Published: March 2021

Abstract
Since the outbreak of novel coronavirus pneumonia (COVID-19), China has taken effective measures to control the spread of the epidemic. By the end of April 2020, the global situation of coVID-19 (COVID-19) prevention and control is still very serious. In this paper, a mathematical model was established to predict the future trend of coVID-19 by studying its transmission routes, propagation speed, spatial range and dynamic mechanism. This article first analyzes the changes in the transmission route in chronological order. After understanding the transmission route of COVID-19, we started to study the transmission speed and used MATLAB to fit the data we found. Secondly, consider the spatial scope of the spread of new coronary pneumonia, and use FineBI software to draw static maps to reflect global medical record data. Finally, we further consider the immigration and emigration of the population, and use Euler’s numerical method to solve the established partial differential equation model to study the dynamic mechanism of the new coronavirus pneumonia (COVID-19). Through the above analysis, a modified SEIR transmission dynamics model considering the virus transmission ability of patients in the incubation period and the effect of tracking isolation intervention measures on the epidemic was established. At the end of this article, based on actual data, the revised SEIR model is used to predict the future trend of COVID-19.
On the influence of information technology on the development of public management
Authors: He Jinlian , Li Haoyue 
Published: March 2021

Abstract
The development of science and technology affects all sectors of society, as well as public management. In particular, with the continuous development of information technology, various information technology means are applied in the field of public management, which has played a strong role in promoting public management. Based on this, the article will start from the concept of public management and information technology analysis, explore the impact of information technology on public management.
Analysis on the Construction of Knowledge Graph of Mass Events Based on Ontology
Authors: Ren Binghua , Bu Fanliang , Hou Zhiwen , Fu Yihui , Liu Xiaoyuan 
Published: March 2021

Abstract
Mass incidents pose a serious threat to public order and national security, building a knowledge base in the field of mass incidents, visualizing the relationship between entities from incidents, and scientifically reasoning about key information about incidents have become key links in effectively responding to mass violence crimes. In view of the lack of existing mass incident knowledge graph analysis methods and strong subjective reasoning methods, based on the BiLSTM-CRF model, this paper analyzes event elements and entity associations by extracting entities from the text data of mass events, the protege software is used to construct the mass event ontology model, and the visualization of the mass event knowledge graph is realized based on the neo4j graph database. The research results show that the knowledge graph established in this paper can better reflect the correlation between the elements in the mass incident, and is of great significance to the national security department to improve the emergency decision-making ability.
Study on the influence of urban expansion on cultivated land utilization intensity in China
Authors: Zhang Panpan , Chang Min 
Published: March 2021

Abstract
Urbanization in China has led to significant changes in the utilization of cultivated land. This paper aims to further understand the relationship between urban expansion and agricultural land intensity based on predecessors. The results show that there is a negative correlation between urban expansion and cultivated land utilization intensity. Per capita cultivated land area, industrial development, per capita output input ratio of cultivated land utilization intensity have a certain impact. The relationship between urban expansion and arable land means that as cities continue to expand, arable land is likely to expand, and the pressure on China’s natural land resources will remain great in the future.
Research on the Development and Construction of Emei Wushu Research Camp under the Concept of Low Carbon and Environmental Protection
Authors: Song Jia 
Published: March 2021

Abstract
With the global environmental pollution and the lack of material resources, people are aware of the importance of ecological problems, and people begin to look at sports from an ecological perspective. Martial arts is a traditional sport of the Chinese nation. It has a long history and has evolved into today’s competitive martial arts after many years. The development status of Emishi martial arts is relatively slow compared to other provinces in China. This article will investigate and study the training venues of Emishi martial arts training institutions and the degree of support for martial arts projects by relevant government departments in various regions and cities. The environmental protection values of most training institutions do not meet the standards. There are few areas with standard competition venues. Local governments lack attention to martial arts and the reward system is not perfect. The study found that the application of Emishi martial arts aerobics in martial arts research camps from the perspective of ecological sports should be reflected in venues, props and costumes, music, teaching methods and non-intellectual factors. Choose a martial arts research camp with better air for the venue, environmental protection of props and clothing, music soothing to reduce noise, teaching methods and non-intellectual factors should follow the law of student development.
Research Progress of Spatio-Temporal Interpolation in the Field of Public Health
Authors: Liu Xin , Wang Fuju , Zhang Zhijie 
Published: March 2021

Abstract
The spatio-temporal interpolation method aims to use the existing spatio-temporal data to estimate missing values and to finely express the spatiotemporal distribution of the research content. The application of the spatiotemporal interpolation method in the field of public health is of great significance to the study of the spatiotemporal distribution and prevention of diseases. This article first introduces the principle of the current main spatiotemporal interpolation methods (spatiotemporal kriging, Bayesian maximum entropy, and regression-based methods) and their applications in the field of public health. Then analyze the advantages and disadvantages of different spatio-temporal interpolation methods. Finally, in view of the shortcomings of the existing spatio-temporal interpolation methods, the future development direction is proposed in order to enrich disease risk prediction methods.
The Simulation Analysis and Coupling Mechanism of harness and wire cable
Authors: Wu Nan , Jiang Peng , Zhang Junying 
Published: March 2021

Abstract
Considering the complexity of the electromagnetic environment, a large number of electronic equipment and cable harnesses are concentrated. For different environments, this paper is prepared to consider the three problems of cable crosstalk, field-line coupling and cable radiation, which basically covers all cable electromagnetic interference problems. Considering the changes of cable length, cable height from the ground, cable distance, angle and grounding mode, this paper also takes these factors into account and explores the results by changing these parameters. According to this, the anti-interference measures between the cables of Electrical Multiple Unit can be obtained.
Numerical Simulation Study on Failure of Graphite Heat Exchanger with Orifice Block
Authors: Dong Liang , Chen Yi , Tong Zhuanggen , Liu Chongyang , Yang Zhenguo 
Published: March 2021

Abstract
Phenolic impregnated graphite is a new kind of material with higher corrosion resistance and thermal conductivity. In the chemical industry, it is often used to make containers and pipes containing strong acid and alkali medium. It is the characteristic of phenolic resin impregnated graphite heat exchanger that the corrosion resistance and heat transfer efficiency of the heat exchanger are greatly improved. In this paper, a failure case of graphite heat exchanger in a chemical enterprise in Shanghai was analyzed by numerical simulation. According to the actual working conditions, the temperature field and flow field in the porous graphite heat exchanger were numerically simulated. The numerical simulation results of temperature field showed that the graphite block would be subject to thermal shock when the equipment was started and shut down, resulting in the increase of temperature difference of graphite block In addition, the pre tightening force of the flange of graphite heat exchanger was simulated by numerical simulation, and it was found that the position of stress concentration coincided with the crack position of actual failure, and the improvement suggestions were put forward for the structural design of graphite block.
Adaptive Cognitive Management and Knowledge Discovery Framework Based on Internet of Things Big Data
Authors: Bai Runxuan , Lv JianYu , Shang Chunnan 
Published: March 2021

Abstract
In the future of large-scale industrial automation applications in the Internet of Things big data management and knowledge discovery, the importance of the industrial Internet is increasing day by day. The Internet of Things (IoT), computing intelligence, machine type communication, big data and sensor technology and other diversification. Technology can be combined to improve the efficiency of data management and knowledge discovery for large-scale automated applications. To this end, we need to propose a cognitive-oriented IoT big data framework (COIB-framework) and its implementation architecture, IoT big data hierarchical architecture, data organization and knowledge exploration subsystems to achieve effective data management and knowledge discovery suitable for large-scale industrial automation applications. In this work, we need to propose a cognitive-oriented IoT big data framework (COIB-framework), as well as implementation architecture, IoT big data layered architecture, data organization and knowledge mining subsystems, to meet the needs of large-scale industrial automation applications. Discussion and analysis show that the proposed framework and architecture are based on the intelligent industrial application of IoT big data provides a reasonable solution.
Prediction of Fish School based on Neural Network and Gray Prediction
Authors: Cai MuZhen , Dong Bo , Xiao Yuhui 
Published: March 2021

Abstract
Rising ocean temperatures affect the distribution of fish. The livelihoods of many small Scottish fishing companies have also been affected. We designed a fish migration prediction model, a system that predicts fish migration and helps small fishing companies make decisions.
First, we creatively proposed the neural network algorithm modified to establish habitat evaluation model based on previous environmental data. Then, the gray prediction algorithm is used to predict the environmental data of each water area in the next 50 years, and the best habitat location of each year is evaluated by the evaluation model based on the environmental data. The migration route of the fish can be obtained by summarizing the best habitats each year in chronological order. We use the knowledge of graph theory to establish a "fishing judgment model" to determine whether small fisheries companies can catch fish in their fishing range. Then we use a triple nested loop to establish a continuous time calculation model, and use this model to discuss the continuous fishing time of a fishing company located in a certain place from a certain year in the future
Research on a Prediction algorithm of Bridge Engineering Mechanics parameters based on Deep Learning
Authors: Gao Xinyi 
Published: March 2021

Abstract
With the increase of the span of cable-stayed bridge, the influence of geometric nonlinear factors in engineering mechanics is becoming more and more obvious, so it is necessary to seek the construction alignment prediction method of long-span cable-stayed bridge considering the influence of geometric nonlinearity. In this paper, we analyze the basic principle and improvement measures of BP neural network algorithm, establish a prediction model with the help of Matlab language, and discuss its application in the construction control of long-span cable-stayed bridge. Taking a large span steel box girder cable-stayed bridge with a main span of 1088m as the engineering background, the rationality and feasibility of this method are verified, which provides a reference for the alignment control of the same type of bridge.
The Impact of In-Vehicle Voice Interaction System on Driving Safety
Authors: Ma Jun , Ding Yining 
Published: March 2021

Abstract
The development of intelligent connected vehicle (ICV) makes voice interaction an important interaction method in the car. The voice interaction system supports natural speech recognition and can complete a large number of secondary tasks. This paper is based on the Chinese market and 5 ICVs are screened out. Application scenarios for voice interaction systems are constructed through pre-survey. Using simulated driving platform which can be connected with mass-produced vehicle, data on visual demand can be obtained. From the visual demand aspects, the corresponding indicators are selected to analyze the impact of in-vehicle voice interaction system on driving safety.
Research on C4ISR Requirement Demonstrating Method Based on System Configuration
Authors: Jinfeng Li , Bingcheng Sun , zheng Dai 
Published: March 2021

Abstract
Requirement demonstrating is an important link of C4ISR construction. The paper design a requirement demonstrating architecture framework of C4ISR based on the research on DOD2.0. The paper describe how to design capability requirement view, information requirementview, services requirement view, systems requirement view, project requirement view and standards requirement view emphatically. Project viewpoints have great significance in the field of C4ISR requirement demonstrating.
A Defect-Sensitive Loss Function based on Siamese Network to Defect Detection with Imbalanced Samples
Authors: Luan Chenhui , Jing Zhengbiao , Zuo Jinghao 
Published: March 2021

Abstract
Surface defect detection for industrial production is tough for variety of defects and limited defect samples which make it difficult to extract expected effective defect features. To solve this problem, a defect-sensitive loss function based on Siamese Network is proposed for detecting defects of industrial production surface. The learning process minimizes the designed loss to drive the intra-class distance of the defect-free images to be smaller and enlarge the distance between hardest defect image and the defect-free images. The proposed method is evaluated on a real-word dataset. Experimental results show 100% accuracy for proposed method with imbalanced rate 10:1 and 50:1, indicating its advantage over classification CNN method. Comparison experiments show that proposed loss function outperforms other recent published loss function, the proposed loss function can be more sensitive to defect samples.