bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Broadband PLC Technology in Monitoring Railway Trackside Signal Equipment
Authors: Shi Long
Published: July 2020

It is very important for railway operation and maintenance to monitor railway trackside signal equipment, which is the key foundational part of train control system. But the problem of how to transfer the monitoring data safely and efficiently is difficult to be solved. This paper introduces the technical characteristics of PLC, analyzies and compares the applicability of various communication methods under the application conditions. A scheme of trackside equipment monitoring network is proposed based on the broadband PLC technology and a monitoring system meeting the application requirements is developed.
Location Problem of Production and Sales under Carbon Tax Policy
Authors: Xiang Chong , Li Xiaoshen , Sun Guanglei
Published: July 2020

This paper considers a location problem of production and sales of a production-oriented enterprise under carbon tax policy. Consumers are distributed on a straight line with linear transportation costs. In addition to paying the transportation costs of its own products, the enterprise is also responsibile for the transportation costs of consumers. A profit maximization model is established, properties of the profit function are analyzed, and a solving method is given. Numerical experiments show that even if the distribution of consumers is center-symmetric, the optimal location is not necessarily center-symmetric, which corrects the illusion of people. It is concluded that different carbon tax policies lead to different cost ratios of different modes of transportation, which lead to different locations and profits.
Research on Adaptability of After-treatment Device for Diesel Vehicles In-use Based on Actual Road Conditions
Authors: Xie Zhenkai , Wang Jiguang , Li Jingyuan , Ling Jian , Zhang Xiaowen
Published: July 2020

Atmospheric environment is seriously threatened by the particulate matter and nitrogen oxide emissions of diesel vehicles in-use. Feasibility of the emission reduction technology and its application used in the China III diesel vehicles was studied, and an emission control device that meets the target vehicle according to the characteristics of vehicle operating conditions was designed. Furthermore, demonstration of emission treatment of particulate matter and nitrogen oxides in diesel vehicles was implemented. The working conditions and matching applicability between vehicles and after-treatment devices during actual road operation were analyzed, and results of emission reduction were counted. The research indicates that matched with the working conditions, the emission reduction technology for the diesel vehicles in-use can be effectively reduce pollutant emissions under actual road conditions and achieve continuous emission reduction effects.
Multi-periodic Refinery Scheduling Based on Generalized Disjunctive Programming
Authors: Li Ming
Published: July 2020

Refinery complex production process usually involves some distinct or implied production rules and expert experiences. Representation and utilizing these heuristic rules is conducive to efficient scheduling optimization. In this paper, the heuristic rules were formulated using disjunctive form and logical proposition, and a discrete-time based multi-periodic generalized disjunctive programming (GDP) scheduling model was built. Due to the combining of logic expressions and algebra expressions, heuristic rules were utilized by the proposed model, while scheduling optimization was ensured. The formulated model was used to deal with a refinery scheduling problem. Case study shows the model’s feasibility and efficiency.
Research on Text Data Pool of Intelligent Manufacturing for Plate Parts
Authors: Li Guangrong , Cao Yuanguo , Zhao Sufang , Bao Yongqiang , Yu Chao
Published: July 2020

Based on understanding of the structure and function of plate parts, these are analyzed including the data produced in the process of intelligent manufacturing and the characteristics and contents of the way of information expression in this paper. The data of the whole life cycle of plate parts is the research object combined with research status. The characteristics and functions of the text data pool are analysed. The framework of the text data pool for plate parts is constructed. The text data pool for intelligent manufacturing of plate parts is designed. A Hadoop platform is built by using Java, hive and other components. And the modules are built to achieve text data pool data fusion. A large number of data generated in the process of plate parts design and intelligent manufacturing can be analysed, processed and extracted more clearly, such as data collection, data format conversion, text disambiguation and other fusion functions, so as to achieve the purpose of data processing. These researches not only play an important role in data storage and processing, but also improve the efficiency and accuracy of plate parts design and intelligent manufacturing.
Modelling and Simulation of an Anti-skid Braking System for Rail Vehicles
Authors: Ma Tianhe , Wu Mengling , Tian Chun
Published: July 2020

Pneumatic braking systems are widely used on rail vehicles. Anti-skid control systems are equipped to prevent wheels from locking and ensure braking distances in low adhesion conditions. To model and simulate an anti-skid pneumatic braking system, a concise modelling method was proposed. By dividing the pneumatic braking control unit into two parts, the complex model was simplified according to its working principle. The pneumatic model, kinematic model, adhesion force model and controller model were established and simulated with MATLAB/Simulink and AMESim. The results show that this method is suitable for anti-skid control modelling and simulation and can be used for controller development and verification.
Research on Standard Legend Production of the Geological Map Interpreted with Remote Sensing Images
Authors: Zhao Yuling , Yang Jinzhong , Fu Zongtang
Published: July 2020

It is necessary to standardize the legends of the geological map interpreted with remote sensing images in various application fields duly to achieve standardization and automation of the legends. This paper analyzes main contents and expression forms of legends based on the principle of legend compilation and expansion, and discusses generation method, compilation and expression of various legends. 455 legends of the geological map interpreted with remote sensing images were designed and produced by using Font Creator and ArcGIS software. These legends can be applied to remote sensing survey of regional geology and mineral geology, remote sensing monitoring of fundamental geology environment, remote sensing monitoring of geological disasters, remote sensing monitoring of mineral resources development and others, which can basically meet needs of actual work, and can provide technical support for standardized research of the geological map interpreted with remote sensing images.
Research on Multi-source Data Fusion of 3D Scene in Power Grid
Authors: Zou Biao , Wang Heping , Zhou Xiangxian , Jiang Wendong , Du Wei
Published: July 2020

With the rapid development of information technology, 3D panoramic technology has been more and more widely used, and it has played a role in urban planning, power grid engineering design, and geological analysis. This technology can provide people with a variety of scene information intuitively and realistically. With realistic space simulation scenes, users can feel a sense of immersion. Due to the different types of geographic information and related data involved, it is necessary to use the idea of data fusion and combine data from different spaces to achieve information fusion, thereby improving the accuracy of geographic information in design scenarios and better promoting 3D panoramic technology in urban planning, Widely used in power grid design, community management and other fields.
Using GF-2 Images to Detect Tamarix Chinensis Community within a Vegetation Patch
Authors: Liu Qingsheng
Published: July 2020

The quasi-circular vegetation patches (QVPs) are mainly composed of suaeda salsa, Tamarix chinensis, and Phragmites australis in the Yellow River Delta, China. The previous studies indicate that the shrubs within a vegetation patch play an important role in the establishment and disappearance of vegetation patch. Therefore, in this work, the method based on the tasselled cap brightness and greenness components derived from the April image and the August GF-2 image acquired after water replenishment with the decision tree classifier was developed for quickly detecting the Tamarix chinensis community. The detection rate was 73.5%, and the misclassification rate was 12.1%. In the future, more samples of plant community and multi-seasonal images such as the late fall-early winter leaf-off data needs to be applied to further improve the detection accuracy.
Location of Underground Parking Lot Based on Bluetooth Ibeacon Technology
Authors: Luo JinMan , Liu LiYuan , Wang LiNa , Liu ZhuoXian
Published: July 2020

With the popularity of electric vehicles in China, how to guide the vehicle to the charging facility in the underground garage has become an urgent problem to be solved. Among them, the realization of real-time vehicle location is one of the keys. In this paper, the location fingerprint scheme based on iBeacon technology is adopted, and the improved k-proximity algorithm is combined to realize the positioning.
Power System Optimization Based on Multi-agent Structure and Lion Swarm Optimization
Authors: Guo Ying , Jiang Mingyan
Published: July 2020

To improve the global exploration capability of lion swarm optimization, this paper presents a novel lion swarm optimization based on multi-agent structure. The new algorithm combines the lion swarm optimization and the multi-agent system in order to improve efficiency and accuracy. It could use the group information and environment information to determine the search strategy in the iterative process. In solving the economic load distribution problem of power system, the lion swarm optimization based on multi-agent structure has significantly improved performance compared with lion swarm optimization in terms of efficiency and robustness. The experimental results on power system prove the effectiveness of this new algorithm.
Value Analysis and Mode Construction of Tutorial System for P2P Undergraduates in Computer Science—-Based on the Reform Practice of Tutorial System in the College of Computer Science, Xi’an University of Technology
Authors: Ma Fu , Song Yuanyuan
Published: July 2020

With the implementation of credit system, undergraduate tutorial system is becoming a new system of student education management in colleges and universities. The implementation of tutorial system of undergraduate students is based on educational theories, such as teachers teaching to educate people, teaching students in accordance of their aptitudes, and constructing a harmonious teacher-students’ relationship. This paper puts forward a feasible operation mode for the optimization of the tutorial system for undergraduate students, which has achieved good results.
Application of Multi Sensor Fusion in Attitude Measurement of Crawler Mountain Forest Robot
Authors: Liu Bin , Ren Yan
Published: July 2020

Due to the complex terrain of the special robots in mountain forests application environment and the roughness of the road, it is difficult to solve the problem of the measurement of robot’s attitude, especially the real-time dynamic solution. In this paper, an attitude measurement system based on gyroscope, accelerometer and three-axis magnetometer multi-sensor fusion is proposed, and adds the complementary filtering algorithm to the attitude solution, the real-time dynamic attitude measurement of the robot is improved obviously.
A Real-time Image Recognition System Based on Improved Jacintonet Convolutional Neural Network
Authors: Chen Shixing , Yuan Hongfang , Cao Xi , Li Xiang
Published: July 2020

With the emergence and development of new automation industries such as unattended supermarkets and smart picking orchards, the demand for real-time systems based on embedded platforms is increasing day by day. Heterogeneous multi-core processors are widely used in modern integrated circuit design due to their advantages of low power consumption and high parallelism. More and more real-time systems are implemented on heterogeneous multi-core platforms. Based on the heterogeneous multi-core embedded system, the network parameters and architecture of jacintonet model are improved, and a real-time system for fruit image recognition is realized by using the improved network. A small sample data set is used to train the modified network and the trained network is imported into the system for testing. The result shows that the improved jacintonet network can run well on heterogeneous multi-core system and has the same recognition performance as the original network.
Traffic Sign Recognition with Neural Networks in the Frequency Domain
Authors: Franzen Florian , Yuan Chunrong , Li Zhong
Published: July 2020

In this paper we describe traffic sign recognition with neural networks in the frequency domain. Traffic signs exist in all countries to regulate the traffic of vehicles and pedestrians. Each country has its own set of traffic signs that are more or less similar. They consist of a set of abstract forms, symbols, numbers and letters, which are combined into different signs. Automatic traffic sign recognition is important for driver assistance systems and for autonomous driving. Traffic sign recognition is a subtype of image recognition. The traffic signs are usually recorded by a camera and must be recognized in real time, i.e. assigned to a class. We use neural networks for traffic sign recognition. The special feature of our method is that the traffic sign recognition does not take place in the spatial domain but in the frequency domain. This has advantages because it is possible to significantly reduce the number of neurons and thus the computing effort of the neural network compared to a conventional neural network.
Detection of spinal fracture lesions based on Improved Yolov3
Authors: Sha Gang , Wu Junsheng , Yu Bin
Published: July 2020

Yolo[1]algorithm has a good detection effect in target detection. Because of its high detection accuracy and fast detection speed, it is widely used in practice. Because of the problem that the complexity of spine CT images, the irregular shape of vertebral boundary, which needs doctors’ prior knowledge and clinical experience to determine lesions location in CT images, so it can not meet the clinical real-time needs. In this paper, We use deep learning to process the CT images of spine, and to detect and locate lesion of (cervical fracture, cfracture), (thoracic fracture, tfracture), (lumbar fracture, lfracture) by the improved YOLOv3. Through using lesions bounding box dimensional cluster, multiscale transformation of input CT images, and change NMS to MAX value to improve detection efficiency and accuracy. The experiment shows the results are more accurate, and mAP (mean average precision) of detection algorithm is 73.63%, detection rate is 0.027 seconds per detection, and IOU((Intersection-over-Union) is 75.9, which can basically meet the clinical real-time needs.
An Immune Chaotic Niche Genetic Algorithm for Monitoring Distribution Problem in Self-Organizing Wireless Sensor Network
Authors: Zhou Jie , Xu Mengying , Yang Rui , Lu Yi
Published: July 2020

Due to the sensors are restricted in sensing capabilities, monitoring distribution has become a challenging problem in self-organizing wireless sensor network (SOWSN). Micro nodes are self-organized tiny devices with limited sensing capabilities. Careful monitoring distribution scheme can be a suitable optimizing means for achieving the required high target detection rate goals, comprising sensing capacity restrictions. However, the monitoring distribution problem is a typical NP-hard combinatorial stochastic optimization problem. In this study, an immune chaotic niche genetic algorithm (ICNGA) to enhance the target detection rate is explored. Advanced operators such as immune operator and chaotic operator are also incorporated into the ICNGA to increase the explore capacity. The represented immune selection and chaotic generation depending on ICNGA with global search capability can simultaneously optimize multiple variables. Simulation results identify that the proposed algorithm can get a higher target detection rate over SFLA and SA. Besides that, the convergence speed of the presented ICNGA is much higher than that of SFLA and SA. So the proposed method significantly enhanced the efficiency.
Elite Adaptive Parallel Evolutionary Algorithm for Sensor Nodes Clustering Optimization in High Density Sensor Network
Authors: Zhou Jie , Xu Mengying , Yang Rui , Lu Yi
Published: July 2020

Minimizing the communication energy consumption has always been a key aspect of the research of High Density Sensor Network (HDSN). HDSN is a group of small devices with restricted battery capacities. Accordingly, the objective of the clustering technique is to design a best set of sensor nodes clustering result for the combination that minimize the communication energy consumption. The ideal clustering problem with discrete variables is a np-hard problem in its accurate formulation. In this study, an improved elite adaptive parallel evolutionary algorithm (EAPEA) is proposed to lower the communication energy consumption in HDSN. The suggested algorithm is tested by a fitness function, and new adaptive operator and elite operator have been designed to speed up the convergence rate. The EAPEA merges the merits of the adaptive adjusting and elite selection. By the mechanism of adaptive adjusting, its overall exploit capacity is fully applied for finding the overall optimal solution. EAPEA simultaneously develop a large number of results to explore the explore area and to avoid local optima. A convergence analysis is carried out, and extensive experiments are carried out that compare EAPEA with two other heuristics. Our experimental simulations denote that the represented EAPEA technique, when used into HDSN, is competent to offer better performance and a low communication energy consumption compared to two other heuristics.
Network Application Classification with DNN Model
Authors: Dong Ligang , Suo Tongpeng , Jiang Xian
Published: July 2020

Due to the development of information technology, there are many kinds of Internet applications. Many network applications not only bring great challenges to the quality of network services but also have an impact on Internet security. In order to efficiently use network resources and provide effective management and control measures for network managers, network traffic needs to be classified. At present, many traffic classification algorithms are not accurate enough, which affect the evaluation and further study of the network. Therefore, the innovation of this paper is to propose a network application classification model. This model uses Deep Neural Network (DNN). Different pretreatment methods are used for data sets to increase the accuracy. This model is compared with other models to prove the effectiveness of the work.
Research and Implementation of Handwritten Numbers Recognition System Based on Neural Network and Tensorflow Framework
Authors: Bai Jing , Fei Jie
Published: July 2020

It is difficult for a computer to recognize handwritten numbers with a high accuracy because of many factors such as shape, size and others. This paper applies a neural network based on Tensorflow framework to implement the handwritten numbers recognition system. The system is compiled and run in vim under Mac operating system with an 8g RAM. This system first builds a neural network, then trains the model on the MNIST dataset to output the accuracy of handwritten numbers recognition. We can input the handwritten picture and get the prediction result through this system. Then we optimize this system on neural network, activation function, loss function, learning rate and generalization to improve the accuracy. Finally, we prove that this system has a higher accuracy closed to 98% for recognizing.
Single Object Tracking for Dynamic Programming based on Fine-grained Network
Authors: Jiang Jianguo , Jin Kaiyuan , Wu Jingjing , Qi Meibin , Wang Qian
Published: July 2020

Single target tracking has always been a key and challenging research field in computer vision. Currently, an increasing number of researchers are focusing on extracting better tracking features and designing the best tracker. This paper proposes a new single target tracking network that uses fine-grained features and dynamic programming (DPFNet). In order to extract superior features, we added an attention module to the regression network enabling us to extract finer-grained and discriminative features to achieve regression. Besides, we did observe that different objects have varying moving rates; for different moving targets, the magnitude of the changes in target position within two adjacent frames is not the same either. Although an area search of 4 times the target’s size can be applied to most objects, targets with large position changes may appear in other image areas outside the search area and the target would not be located as a result. Aiming at solving this problem, when designing the tracker, this paper analyzes some of the indicators for predicting the location and uses the analysis results to determine whether the search area is appropriate, so as to dynamically adjust the extent of the search area thereby significantly improving the tracking function. In other words, the size of the search area can be dynamically recalibrated for different images. Subsequent experiments prove that the method put forward in this paper achieves State-of-the-Art results.
Iterative Learning Control for Generalized Projective Synchronization of Fractional-order System with Unknown Local Lipschitz Function
Authors: Wang Liming
Published: July 2020

This paper is devoted to the generalized projective synchronization problem of fractional-order systems subject to the unknown local Lipschitz conditions. Based on the definition of the fractional integral, a suitable variable is defined, thereby the generalized projective synchronization problem between leader and follower is transformed into the stabilization problem of the system consisting of the newly defined variable. An adaptive iterative learning controller is proposed to control the fractional-order systems. Based on the composite energy function method, the convergence of learning process is analysed. Consequently, the sufficient conditions are derived to guarantee that the leader-following FOSs can achieve the generalized projective synchronization in the finite time interval as the iteration step goes to infinity. Finally, a numerical simulation example is presented to demonstrate the effectiveness of the proposed method.
Application of ControLogix Control Platform in the Coke Oven Dedusting System
Authors: Sheng Zhai , Zhao Xu , Zhichao Xu , Jiaming Chan
Published: July 2020

Taking the coke oven dedusting system of a chemical plant as the research object, the coke oven dedusting monitoring system is designed. This system mainly uses the software and hardware of the ControlLogix control platform of Rockwell Company. In the system design, the process flow of coke oven dedusting system is analyzed, the system control scheme and the configuration of software and hardware are given in details. In addition, the control software and human-machine interface are designed and developed, and the design idea is provided. The practical results show that the system is good at dedusting effect, convenient in maintenance, and reliable and stable in operation. It has achieved good economic and social benefits.
Research on Sensorless Control System of PMSM Based on Adaptive Fuzzy Sliding Mode Observer
Authors: Tian Zhewen , Shen Kaiyuan
Published: July 2020

The vector control system of permanent magnet synchronous motor needs to use encoder and other speed measuring devices, which will increase the cost of the system and bring reliability problems. In order to solve these problems, this paper proposes a sensorless control system of PMSM Based on adaptive fuzzy sliding mode observer. Firstly, in order to suppress the chattering problem of the traditional sliding mode observer, the continuous sigmoid function is used as the switching function of the sliding mode observer to improve the stability of the system. Then, the adverse effect of the fixed sliding mode gain on the system performance is analysed. Observer Combined with the fuzzy control theory, the error function is selected as the fuzzy input, the fuzzy rules are formulated, and the fuzzy controller is designed to adjust the sliding-mode gain adaptively. Finally, the simulation model of sensorless control system of PMSM is established. The simulation results verify the feasibility of the proposed scheme.
Research on an Intelligent Search Function Architecture in Distribution Network Situation Awareness System
Authors: Meng Hailei , Fang Mu , Li Longtan , Wang Zhiqiang , Cao Qingtao , Liu Chunxiu
Published: July 2020

After the establishment of the distribution network situation awareness system, it faces the problem of large-scale data search technology. We implement path analysis through a complete intelligent search function, and propose a big data search engine framework suitable for situational awareness systems, and solve the problem of data sharing and intelligent access in multiple systems. Especially in the collection and display of cross-region data, we combed the calling relationship between the systems in detail, and based on this, carried out the exploration of the optimal technical path of the intelligent search technology adapted to the situation awareness of the distribution network. Finally, the overall framework of the intelligent search engine in the current operating mode of the power system is proposed, and the specific analysis of the implementation path is given.
Real-time Task Assignment Method of Two-load AGV under Dynamic Change of Goods Urgency in Logistics Warehouse
Authors: Kang Yuyun , Feng Guifang , Wang Zhenhai , Sun Jie
Published: July 2020

A real-time task assignment method based on the least time is proposed to solve the problem of automatic assignment of two-load Automatic Guided Vehicle (AGV) transportation tasks when the urgency of outbound goods is changing dynamically. Firstly, the urgency of goods going out of the warehouse is defined, and it is time-dependent and divided into two categories: urgent and non-urgent. Secondly, the location of AGV consists of three classes and the current task status of AGV is also detailed to three classes. Thirdly, the same vehicle factor is determined according to whether the adjacent outgoing goods are in the same vehicle. Fourthly, according to the order of issued task and taking the above factors into consideration, the delivery time is analyzed and enumerated under different shipment orders and different AGV status. Finally, a decision tree is built and the real-time task assignment method is proposed considering the least time.
Application Research of Engineering Foundation Pit Support Based on3D Geological Modeling Platform-ITASCAD
Authors: Zhang Bentao , Xu Cheng
Published: July 2020

Foundation pit support is the key link in the construction of engineering construction, and it is also an important guarantee for the overall safety of engineering construction. At present, the country and society have higher and higher requirements for the quality of engineering construction, and the construction conditions of engineering projects are more and more complex, which makes the traditional engineering foundation pit support design and construction methods exposed more and more disadvantages. ITASCAD is to create an international level of large software for the geotechnical industry. Therefore, this paper expounds the problems existing in the design and construction of engineering foundation pit support, and discusses the typical application cases of Itascad technology in engineering foundation pit support. Based on the study of several practical cases, this paper analyses the breakthrough and innovation brought by the application of Itascad technology for engineering foundation pit support, and provides a new thinking direction for the development of foundation pit support technology.
Application of ECG Signal Denoising and T-wave Automatic Detection Based on Computer Deep Learning
Authors: Xu Bingxin
Published: July 2020

To address the problems of time-consuming, laborious and costly ECG expert diagnosis in the long-term massive ECG signal automatic denoising and T-wave automatic detection system, resulting in the difficulty to extract features, as well as the poor adaptability and low accuracy of the abnormal diagnosis model, we proposed an ECG signal denoising and T-wave automatic detection method based on deep learning. The method mainly includes four steps as follows: ECG signal denoising preprocessing, segmentation of ECG signal and unification of sampling points, unsupervised heartbeat feature learning, denoising and T-wave automatic detection. The structure of the deep faith network FCMDBN model and the learning denoising and T-wave automatic detection algorithm are proposed. Based on the MIT-BIH heart rate anomaly database, the simulation experiment shows that the signal diagnosis method proposed in this paper has relatively high adaptability and accuracy compared with the denoising and T-wave automatic detection by artificial design based on traditional ECG features.
Research on the Relationship between Physical Exercise, Psychological Flexibility and Positive Emotion of College Students Based on Computer Mathematical Model
Authors: Xia Bo , Ma Zhichao , Hu Yingyue
Published: July 2020

In the 1970s and 1980s, the study of mental resilience emerged in the field of psychology in the United States and quickly became a hot topic in the field of international psychology. The field studies the psychological adaptation and development of children, adolescents (and later adults) in adversity. The extensive research on the psychological resilience of college students can enlighten the complexity of their psychological development. Throughout life, people inevitably encounter setbacks and adversities, and are under pressure from all sides at all times. With the development of society and the intensification of competition, college students are facing more and more pressure. Some college students can adapt to pressure and grow up healthily, while others cannot adapt to adversity, which leads to psychological problems. In the era of computer big data, relevant experience shows that physical exercise has certain help in forming mental resilience and positive emotions. Therefore, this paper analyzes the relationship between physical exercise, mental resilience and positive emotions of college students by using computer technology and mathematical model, so as to provide help for college students to form healthy psychology.
The Application of Computer Modeling Technology in Art Design
Authors: Zhang Bo
Published: July 2020

The art design style of computer modeling is the hot spot of China’s art design in recent years. After entering the 21st century, the concept of art design has been constantly developed and innovated, and a series of designs such as Java and dynamic titles are all the rage. Based on computer modeling art design style of writing with different point of view of reality, tends to be the symbol, the transition of the style, let people can more easily and work more comfortable and more willing to learn the meaning, this article through to the computer modelling of the historical development of the art design style analysis, combined with the graphic sustainable theory to delve into the UI design for readers reference.
Research on ESP Hybrid Teaching Innovation based on the Computer Information Technology
Authors: Sun Chao
Published: July 2020

The rapid development of the educational information age has brought changes and challenges to the field of English education. The development of computer information technology has led to the reform of teaching methods. Under the guidance of constructivism theory, around the teaching concept of “teachers’ leading role and students as the main body, and the conductor combination”[1]. In this paper, based on English majors offered English course as an example, analyzed the computer information technology platform based on hybrid English teaching, in order to provide useful reference for the teaching reform of basic courses for English majors.
Research on Machining Precision Control of Mechanical Die Based on Computer Aided Technology
Authors: Guo Chen
Published: July 2020

In the machining process of mechanical mold, the machining accuracy must be guaranteed, only in this way can the mechanical mold’s performance be guaranteed. When we process and produce mechanical moulds, we need to fully realize the importance of precision. The combination with computer aided technology can effectively control its accuracy. In the process of machining and production, there are many factors that may cause accuracy problems. In this paper, the machining precision control of the mechanical mold was studied by computer aided technology based on the machining and production process characteristics of the mechanical mold.
Design and Communication of Digital Museum Based on Computer and Internet Technology
Authors: He Cheng , Lu Yijie
Published: July 2020

With the advent of the Internet era, the development of communication technology and virtual reality technology, and the increasing maturity of computer network technology, the Internet technology museum has gradually replaced the traditional museum and become a trend. With the rapid development of mobile terminal intelligence, the way of information transmission is no longer limited. The application of Internet technology to digital museums can change the fixed exhibition and single visiting mode, obtain different experience and interactive experience, and open up a new field for the development of digital museums.
The Construction Strategy of Talent Cultivation System for Tourism Informatization in the Era of Internet +
Authors: Luo Chuman , Chen Haitian , Yu Tian
Published: July 2020

With the rapid development of the Internet + era, the quantity and quality of China’s tourism human resources have increased rapidly, making positive contributions to the development of the tourism industry. But generally speaking, there is still a big gap between the quality and structure of human resources and the requirements of the rapid development of tourism industry, which affects and restricts the further development of China’s tourism industry to some extent. Tourism human resources is an important guarantee for the rapid development of tourism. The quality and structure of China’s tourism human resources restrict the rapid development of China’s tourism to a great extent.
Research on Internet Product Design Based on Visual Communication
Authors: Meng Cuihua
Published: July 2020

In this era of rapid development of information, people’s way of living is closely related to the network, the Internet has affected all areas of human society, and the survival and development of people have a broad impact. In the interface design of Internet products, color often has the advantage of taking the lead over shape, and the color of the interface will leave the first impression on people. The difference of color can give a person disparate feeling and impression, the interface that gives priority to tonal with blue or green can give a person a kind of cool and refreshing and quiet or vast and distant feeling.
Explore the Application of Computer Modeling and Rendering Technology in Rural Landscape Color Design
Authors: Li Dan
Published: July 2020

The model is an important factor that affects the rendering quality. In the process of model construction, the Boolean operation method is usually used. This operation method will consume a lot of computer resources. Improving this operation mode can not only improve the accuracy of the model, but also simplify Model to achieve fast rendering. Not only can the model be simplified, but there will be no discrepancies visually. If the number of sides of the model cannot be reduced, the angle of the camera should be adjusted and the rendering efficiency can be effectively improved on the basis of fully expressing the design content. When rendering rural landscapes, by adjusting the angle, only the nearby objects can be adjusted, the rendering effect can also be achieved and the rendering efficiency is improved.
An Analysis of Mainstream Animation Education in Japan and the United States Using Computer 3D Technology
Authors: Chen Danping
Published: July 2020

As an important part of culture and entertainment, animation is also a form of artistic expression with entertainment and educational functions. The application of computer 3D technology makes the animation more vivid and expressive. This paper USES computer 3D technology to analyze the entertainment and educational functions of American and Japanese animation, as well as the educational significance of American and Japanese animation. This paper points out that computer 3D technology not only creates new cultural connotation of American and Japanese animation content, but also is one of the important factors of its educational significance.
Discussion on the Transformation and Development of Financial Management and the Construction of Information System Based on Big Data
Authors: Zhao Feng
Published: July 2020

The continuous progress of the information age has changed our way of life and work. In the era of big data statistics, the financial model of enterprises has also changed a lot. The content of financial work has an obvious trend of expansion and extension. At the same time, people’s demand for information is increasing. People have higher and higher requirements for financial information. Generally speaking, the improvement of big data automation level urges the financial department to carefully observe the business work. In this case, the management department should apply the thinking mode of big data to build the financial management information system. Strive to achieve the transformation and development of enterprise financial management.
Research on Cellular Wireless Location Algorithm Considering TDOA Location Technology under the Background of Network Big Data Fusion
Authors: Qu Fengcheng , Yang Decheng , Zhang Xiuping
Published: July 2020

The background and foundation of applying big data analysis to mobile communication network planning is precisely the current rapid growth of network data and the update and development of big data technology. With the help of big data analysis tools, based on the current communication network, planning goals, it can be more comprehensive Analyze and explore the value perception and behavior trajectory of network users, etc., so as to determine the market demand trend, formulate a more scientific and reasonable planning program. In short, the purpose of the application of big data in communication network, planning is to promote the healthy development of the network. The cellular wireless positioning algorithm that realizes TDOA positioning technology by using big data is a relatively important technology, which is studied in this paper.
Chinese Language Information Processing Considering Efficient Decoding Algorithm for Phonetic Conversion
Authors: Wang Fengying
Published: July 2020

For Chinese language information processing system, it is a very typical 3C system, which integrates computer and communication into one. Connect smart devices through the application of various technologies, mainly including network transmission technology, audio and video technology, information processing technology, etc. and use a highly efficient management system to uniformly manage and control all devices. According to the actual situation of human communication, the most direct way is language communication. Dedicated voice recognition chips are mainly used to control and control smart devices in traditional smart home systems. The currently recognized voice recognition products usually rely on the Internet as an important means to improve their efficiency.
The Training Skills of College Students’ Oral English Based on the Computer-aided Language Learning Environment
Authors: Li Gang
Published: July 2020

According to a large number of graduate employment questionnaire survey, researchers found that today’s College Students’ oral expression ability has been far from meeting the needs of society. This situation has contributed to the employment difficulties of college students. Therefore, how to effectively cultivate the oral communication ability of college students has become a concern of various universities. The improvement of College Students’ oral ability will improve their employment rate. Based on the theoretical knowledge of spoken language learning, a computer-aided language learning system is proposed. This paper analyzes the advantages of CAI in language teaching. It has been proved that its application can effectively cultivate the ability of using spoken English of college students.
On the Establishment of Computer Network System Safety Management
Authors: Chen Guoliang
Published: July 2020

A computer network is an interactive system that connects networks around the world. It is inevitable that when users go online, they will contact many other users. The interactive nature of this connection determines the insecurity of information browsing. Therefore, a great risk will inevitably occur during the normal use of the computer network. The computer network is open to users all over the world. During the user’s online process, the computer will face various threats. Hackers and Trojan viruses will attack the computer when the user browses the information to steal the user’s personal information. This feature of the computer’s broadness of use enhances the threats in the use of the computer. Therefore, we must strengthen safety management.
Research on the Relationship between National Economy and Energy Price Fluctuation Based on CGE Model and Computer Simulation Technology
Authors: Li Handa
Published: July 2020

The goal of China’s economic system reform is to establish a socialist market economic system and the price mechanism is the core of the market mechanism. Only by establishing a perfect price formation mechanism, so that prices can truly reflect the market supply and demand, resource scarcity and environmental damage costs and give full play to the basic role of the market mechanism in resource allocation, can we improve the efficiency of economic operation and promote the adjustment of economic structure. Therefore, it is of positive significance to study the relationship between the national economy and energy price fluctuations by applying CGE model and computer simulation technology.
Mechanism of Testicular Interstitial Cell Damage by Heavy Metal Lead Based on Computer-aided Technology
Authors: Yuan Heng , Hu Zhenliang , Zhang Xiaodong , Dong Liping
Published: July 2020

Objective: To explore the toxicological effect of heavy metal lead on testicular interstitial cells by detecting the gene expression levels of enzymes related to injury healing, to provide an experimental basis for revealing the toxicological mechanism of heavy metal-induced male sexual dysfunction. Methods: The r2c cell line of testicular interstitial cell was exposed to a serum-free culture environment containing heavy metal lead. The activity of the cells was determined at 1, 3, 6, 12, and 24 h. The supernatant of the cells was collected to detec the changes in the injury healing by computer-aided technology. The RT-RCR method was used to observe the differences in the gene expressions of injury healing related enzymes. Results: CCK-8 assay showed that the vicapacity of r2c cells was not significantly reduced after they were exposed to 100 μmol/L heavy metal lead for 12 and 24 h (P > 0.05). Computer-aided radioimmunoassay was used to detect the changes in the progesterone, and the results showed that the synthesis of progesterone was significantly reduced at 12 and 24 h (P < 0.05). After the cells were exposed to the medium containing lead, the expressions of the steroid hormone synthetase gene returned to the normal level after 12 and 24 h. However, the expressions of StAR and P450scc genes decreased significantly after exposure to lead for 3 h (P < 0.05), and the expressions of the StAR gene decreased even more dramatically after exposure to lead for 6 h (P < 0.01). Conclusions: Heavy metal lead can inhibit the synthesis of progesterone in r2c cells mainly by down-regulating the gene expression levels of cholesterol transporter StAR and rate-limiting enzyme P450scc in the injury healing pathway.
Design and Development of Horizontal Well and Complex Structure Well Combined with Computer Data Evaluation Technology
Authors: Yang HuaBin
Published: July 2020

This article briefly introduces the completion structure and key support technologies of drilling, conventional horizontal Wells, lateral horizontal Wells and branch horizontal Wells under computer data evaluation. The problems existing in the process of well completion in complex structure Wells and the development direction in the future are put forward.
Research on the Development of an Intelligent Financial Management System Based on Data Mining Technology
Authors: Jiang Hui
Published: July 2020

With the in-depth development of enterprise information construction, enterprises accumulate more and more business data, at the same time, the constantly changing market environment and fierce competition, have prompted managers to more in-depth information desire. An intelligent financial decision support system is a specific application in the financial field after the integration of traditional decision support system and expert system in artificial intelligence. The application of an intelligent financial decision support system can help enterprises to classify, sort, process and analyze data, and transform historical data that cannot be further used into knowledge base information for senior decision makers. However, in most of the existing researches on an intelligent financial decision support system, the application of data mining technology is not specific enough, and only gives the construction of a model library and knowledge base in a general way. At the same time, it is seldom combined with the actual situation of enterprises, so the operability is not strong.
Design and Application of Multimodal Communication Scheme Based on Cloud Platform
Authors: Wang Hui , Song Jie
Published: July 2020

Cloud computing platforms are the product of modern information technology (IT) development and one of the hottest research directions in the big data era. In this paper, the functions and principles of a multimodal integrated communication notification system that combines the communication methods such as e-mail, mobile phone text messages and voice calls are expounded, focusing on the discussion of JMail components, reliable mass texting, short message encoding/decoding, and other core technologies in the cloud-based system design. How to use JMail object, ADO, and multi-threading technologies to implement complex tasks such as information mass texting, fast receiving, processing, and recovery requires further study. Experiments suggest that the proposed method can solve the difficulties in designing information mass texting and reliability in design effectively.