Current status analysis and countermeasures of talent training mode for environmental design specialty of vocational undergraduate under the background of big dataCai, Pei; Xiao, XueBing
doi: 10.1117/12.2635687pmid: N/A
Under these circumstances of big data age, environmental design specialty of vocational undergraduate can make full use of the advantages of big data to realize the sharing of teaching resources, as well as provide students with more opportunities for autonomous learning and practical application. Combined with the characteristics of big data, this paper starts with analyzing the background and current situation of environmental design specialty of vocational undergraduate, recognizes the talent training objectives for environmental design specialty of vocational undergraduate under the background of big data. It puts forward the talent training strategies of environmental design specialty of vocational education at undergraduate level, as well as the relevant suggestions to improve the teaching level and teaching quality of environmental design major of vocational undergraduate from four aspects: professional subject construction, evaluation system, digital teaching environment construction and teaching objective system construction, hoping to provide reference for environmental art talents of vocational undergraduate.
Image recognition of channel bubbles based on iterative dynamic threshold methodWu, Jifei; Liu, Simin; Zhang, Yuying
doi: 10.1117/12.2635672pmid: N/A
The method of image recognition and analysis has become an important means of two-phase flow research. Through the bubble evolution pictures obtained in the two-phase flow experimental device, the generation dynamic threshold image processing method is adopted to reduce the impact of image environment changes, and the appropriate threshold is automatically obtained for image segmentation. The gray level and spatial position information of point pixels are introduced to avoid large distortion of specific images, automatically identify the relevant parameters of bubble flow, deduce the bubble size and group distribution from the measured data, and analyze the bubble characteristics. Iterative dynamic threshold image processing method is complex, but it has strong anti-noise ability. It has a good recognition effect for images that are not easy to be segmented by global threshold.
An attention-based transformer model for dental caries detectionSun, Che; Chen, Hu
doi: 10.1117/12.2635362pmid: N/A
Dental caries is one of the most common diseases suffered by modern people. If early diagnosis and treatment are not carried out in time, dental caries may greatly affect the quality of life. However, the doctor’s diagnosis often misses tooth decay that is not obvious. In our research, we propose a caries detection model that combines attention mechanism and transformer. A new attention mechanism is introduced to represent features in different channels better. The AP50 of the model reached 63.81%, and even unlabeled caries in the X-ray image could be found.
Application of blockchain technology in supply chain financial innovation of commercial banksFeng, Qingyuan
doi: 10.1117/12.2635835pmid: N/A
Supply chain finance of commercial banks provides an effective way for the financing of small and medium-sized enterprises, and solves the problem of enterprise financing to a certain extent. With the rapid development of supply chain financial business, the functional design and structure of traditional business model have been difficult to meet the needs of modern commercial banks. There is an urgent need for emerging technologies to reinvigorate the supply chain financial business of commercial banks. Blockchain technology can effectively reshape the supply chain financial model and solve the development dilemma of commercial banks. In the future, it is necessary to continue to optimize the development environment of commercial banks, accelerate the improvement of the technical and legal framework, build the blockchain technology application architecture system, innovate the supply chain financial model, and promote the sustainable development of commercial banks' supply chain financial business.
Numerical calculation of shear wall in a special-shaped basement based on computer simulationZhang, Qiang; Zhu, Zhigang
doi: 10.1117/12.2635387pmid: N/A
In the north area of a new town in Guangdong, the basement adopts special-shaped shear wall. In this project, a variety of design software are used to conduct multi-level analysis on the structure, and the load, internal force, reinforcement and crack checking calculation of the special-shaped basement shear wall are calculated and analyzed. According to the actual situation of the basement shear wall, all the calculated values are within the requirements of the national code and meet the functional requirements, It provides a reliable basis for the safe and correct construction of the basement shear wall, and also provides a reference for the construction of the same type of basement shear wall.
Research on ordering and transportation process of production enterprises based on multi-objective programmingLi, Minyi; He, Yunyan; Fu, Qili
doi: 10.1117/12.2635814pmid: N/A
This study focuses on the ordering and transporting raw materials in enterprise supply chain management. First of all, this paper constructs the supply capacity evaluation system of three-level and seven-category enterprises, establishes an enterprise importance evaluation model based on principal component analysis, and finally obtains the ranking of supplier importance. In addition, this paper establishes the enterprise ordering model under the minimum cost, the enterprise ordering model with the minimum transportation and warehousing cost and the enterprise ordering model with capacity maximization. Around the transportation process, this paper establishes a minimum loss transfer model based on 0-1 integer linear programming. In order to minimize the ordering cost, minimize the transportation and warehousing cost, and maximize the production capacity, this paper puts forward the order plan of the enterprise in the next 24 weeks based on the convex optimization principle and Python programming algorithm. Finally, considering the economy in the transportation process comprehensively, this paper establishes the minimum loss transfer model, ensures the minimum loss in the transportation process as far as possible, and establishes the minimum loss transfer model based on 0-1 integer linear programming. Through the Python programming algorithm, the transfer plan of the enterprise in the next 24 weeks is given.
Research on enterprise network security systemHou, Jundan; Jia, Xiang
doi: 10.1117/12.2635817pmid: N/A
With the development of openness, sharing and interconnection of computer network, the architecture of enterprise network becomes more and more complex, and various network security problems appear. Threat Intelligence(TI) Analysis and situation awareness(SA) are the prediction and analysis technology of enterprise security risk, while intrusion detection technology belongs to active defense technology. In order to ensure the safe operation of computer network system, we must establish a multi-level and comprehensive security system. This paper analyzes many security risks faced by enterprise computer network, and integrates threat intelligence analysis, security situation assessment, intrusion detection and other technologies to build a comprehensive enterprise security system to ensure the security of large enterprise network.
Key technology research of LVPLC physical environment simulation platformLi, Bo; Li, Xingnan; Deng, Xiaozhi; Lu, Jiangang; Shi, Zhan; Liang, Yutu
doi: 10.1117/12.2635685pmid: N/A
Using physical cables, branch boxes, switch boxes and other low-voltage power equipment to build a physical environment simulation device, low-voltage power line broadband carrier communication verification environment for testing station identification, phase identification and other functions at the same time, to solve the problem of certain differences between laboratory testing and field testing. The platform can simulate different cable types, different power supply topologies, flexible access to low-voltage power line broadband carrier communication equipment at branch and end points, flexible access to low-voltage power equipment by setting signal injection points, and noise signals that can be played back synchronously by the actual environment.
A new type of Chinese speech synthesis technology and system researchLi, Xinguang; Liang, Chuhua; Ma, Shanxian; Liu, Congcong; Chen, Shuai; Li, Ruisi; He, Haoxin
doi: 10.1117/12.2635374pmid: N/A
In this paper, we propose a method of Chinese speech synthesis. In order to achieve the purpose of synthesizing fluent and natural speech, two processing methods, rule-based and statistics-based, are used in the developed system. Firstly, a module design method with the function of text language recognition is introduced in this paper. This module can classify and recognize the text of Chinese, English and special symbols, and deal with the recognition problem that the input text contains Chinese, English and special symbols. Secondly, the Chinese speech synthesis methods used in the system are explained. In the prosody control module, we use a prosody structure prediction model combining neural network and decision tree; when concatenating speech, we propose two smoothing method. One is smoothing algorithm based on spectrum analysis and the other is smoothing algorithm based on dual-threshold. Experiments prove that the synthesis effect of our system is great, and the synthesized speech is clear and natural. Due to the moderate amount of system data and high code efficiency, it is suitable for application systems in mobile Android.
Construction and application of the prediction model of outlet moisture in the loosening and conditioning processLi, Zijuan; Feng, Zixian; Zhao, Liyuan; Chen, Jiaojiao; Gao, Yang; Sun, Shuo; Ma, Yanling
doi: 10.1117/12.2635392pmid: N/A
In order to ensure the stability of the quality of the tobacco in the loosening and conditioning process and the accuracy of the measuring instruments, verification can be carried out by constructing a mass transfer prediction model and an online verification process. Statistically analyze the input and output of materials in the production process of loosening and conditioning process, and obtain the prediction model of dry matter quality, water matter quality, moisture steam conversion coefficient in tobacco leaves and outlet moisture gas. After production experiment verification, the relative error range between the predicted value of the outlet moisture of the tobacco leaves and the actual measured value is maintained at ±0.48%, and the average relative error is 0.21%, which is less than 0.5%, which meets the requirements of process standards, and the model is accurate and reliable. Based on the material balance forecasting model, the theoretical value is compared with the actual value to realize the online comparison and verification of the moisture meter, which has a certain guiding role in improving the accuracy and verification efficiency of the measuring instrument.