Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Cui, Di

Article Type: Research Article

Abstract: Image segmentation is very important for various fields. With the development of computer technology, computer technology has become more and more effective for image segmentation, and it is studied on the basis of partial differential equations. The curve representation method in plane differential geometry is expounded, with the SegNet-v2 segmentation model analyzed and tested in medical image segmentation. The test results show that the partial differential equation image segmentation algorithm can achieve more accurate segmentation, especially in medical image segmentation, which can achieve good results, and it is worth in practice to further promote.

Keywords: Partial differential equation, image segmentation, algorithm analysis

DOI: 10.3233/JIFS-189434

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5945-5952, 2021

Authors: Wu, Manxia | Wang, Wen

Article Type: Research Article

Abstract: A large number of high slopes will be formed in the construction of expressways in many mountainous areas, which is very unfavorable to the construction of local expressways. Effective monitoring methods are essential to solving these problems, and the Internet of Things technology is a good dynamic monitoring method. Therefore, it is necessary to carry out research on the dynamic monitoring system of rock and soil high slope based on the Internet of Things perception. The purpose of this article is to solve the problem of dynamic monitoring of high slopes, taking highway slopes in Chongqing as an example, making …full use of the literature method, field investigation method, regression analysis method, time series analysis method, and theoretical analysis method. Through real-time monitoring of the entire process of rock and soil high slope construction in different locations in a certain area in the southwest, and continuously adjusting and verifying the monitoring situation and solving related problems, the high slope instability at this point was accurately monitored And at any time find the weak links in the construction process of high slopes, and further find its potential quality and safety risks, and then establish a comprehensive monitoring system and early warning system. The research results show that this comprehensive monitoring and early warning system improves the accuracy of early warning and monitoring from qualitative judgment to quantitative analysis and from macro to micro monitoring, and can provide a reference for other types of projects. Show more

Keywords: Internet of things, high slope, dynamic monitoring, geotechnical environment

DOI: 10.3233/JIFS-189435

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5953-5962, 2021

Authors: Tang, Guanghai | Zeng, Hui

Article Type: Research Article

Abstract: Cloud computing, as a product of the fusion and development of computer technology and Internet technology, not only realized the innovation of IT technology but also A major revolution in the IT business model will bring unprecedented and profound changes to the information industry. The main purpose of this article is to study the collaborative management and control method of blockchain in a cloud computing environment. This article mainly uses the blockchain consensus algorithm to analyze and research the blocking technology in the logistics supply chain, and solves the supplier’s benefit formula step by step; also uses the CloudBTF algorithm, …Max-min algorithm, FCFS of cloud computing Algorithm, and compare the efficiency and security of the three methods to get the most conducive to the collaborative management and control of the blockchain. The experimental results of this paper show that blockchain collaborative management in a cloud computing environment can greatly improve the security of massive data storage and the collaborative distribution of data. Among them, the use of cloud computing platform priority algorithms can improve system load balancing by up to 12%, while Using the cloud computing platform FCFS algorithm can improve system load balancing by up to 15%. Show more

Keywords: Cloud computing, blockchain control, collaborative management, control method, cloud BFT algorithm

DOI: 10.3233/JIFS-189436

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5963-5973, 2021

Authors: Liu, Shuqiang | Zhao, Dawei

Article Type: Research Article

Abstract: In general, there are a lot of uncertainties in uncertain information, natural language, and human knowledge. The conclusion can be better deduced by using an approximate reasoning method, while a fuzzy intelligent system can deal with uncertain data and rule evaluation information systems. In order to better explore diffusion and economic growth, this paper constructs a fuzzy intelligent system based on the DSGE model and uses this system to analyze diffusion and economic growth. In order to verify the feasibility of this system, we test the response time and accuracy of the system. In addition, we also use the system …to simulate diffusion and economic growth. The results show that with the increase of the task amount, the gap between the actual response time and the expected response time of the fuzzy intelligent system based on the DSGE model increases. When the task quantity is 20, the expected response time is 2.31 and the actual response time is 2.24. When the task quantity is 40, the expected response time is 2.5 and the actual response time is 2.36. The larger the task quantity is, the faster the response time of a fuzzy intelligent system based on the DSEG model is. Therefore, the fuzzy intelligent system based on the DSEG model has good performance and can analyze diffusion and economic growth well. Show more

Keywords: DSGE model, fuzzy intelligence system, system performance, diffusion, and economic growth

DOI: 10.3233/JIFS-189437

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5975-5983, 2021

Authors: Wang, Linlin

Article Type: Research Article

Abstract: With the continuous development of computer science and technology, symbol recognition systems may be converted from two-dimensional space to three-dimensional space. Therefore, this article mainly introduces the symbol recognition system based on 3D stereo vision. The three-dimensional image is taken by the visual coordinate measuring machine in two places on the left and right. Perform binocular stereo matching on the edge of the feature points of the two images. A corner detection algorithm combining SUSAN and Harris is used to detect the left and right camera calibration templates. The two-dimensional coordinate points of the object are determined by the image …stereo matching module, and the three-dimensional discrete coordinate points of the object space can be obtained according to the transformation relationship between the image coordinates and the actual object coordinates. Then draw the three-dimensional model of the object through the three-dimensional drawing software. Experimental data shows that the logic resources and memory resources occupied by image preprocessing account for 30.4% and 27.4% of the entire system, respectively. The results show that the system can calibrate the internal and external parameters of the camera. In this way, the camera calibration result will be more accurate and the range will be wider. At the same time, it can effectively make up for the shortcomings of traditional modeling techniques to ensure the measurement accuracy of the detection system. Show more

Keywords: Symbol recognition system, 3d reconstruction, binocular stereo vision, feature extraction, stereo matching

DOI: 10.3233/JIFS-189438

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5985-5994, 2021

Authors: Bian, Fei | Wang, Xuansheng

Article Type: Research Article

Abstract: School enterprise cooperation is of great strategic significance to China’s manufacturing industry. The Party Central Committee has repeatedly proposed to strengthen the integration of industry and education and deepen the cooperation between schools and enterprises. In recent years, experts and scholars at home and abroad have been from different perspectives, although they have achieved fruitful results, there are also problems such as insufficient attention to theoretical research, relatively backward research, narrow research scope, and so on. In view of this phenomenon, this paper will study a new school-enterprise cooperation mechanism based on the improved decision tree algorithm. The research of …this paper is divided into three parts. First, after analyzing the advantages and disadvantages of the algorithm, the algorithm of the decision tree is improved, which makes the improved algorithm more suitable for the field of school-enterprise cooperation. Then, based on cloud computing and intelligence, this paper establishes a new model of school-enterprise cooperation platform, which solves some problems of data management and information exchange in school-enterprise cooperation. Finally, in order to make the cooperation mechanism of this paper better used in practice, this paper builds an online and offline hybrid training base, hoping to make the cooperation between schools and enterprises closer through the training base. In order to test the effect of the cooperation model, this paper takes school as the experimental model. After investigation and research, it is believed that thanks to the school-enterprise cooperation mechanism in this paper, the cooperative enterprise of school has been greatly improved in the past three years, and the willingness of enterprises to cooperate has become more and more strong. No matter students, teachers, or enterprises are reaping huge benefits under this cooperation mechanism, it is a suit for extensive promotion The school-enterprise cooperation mechanism of Guangyun. Show more

Keywords: Improved decision tree algorithm, school-enterprise cooperation, cloud computing, combination of production and learning

DOI: 10.3233/JIFS-189439

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5995-6005, 2021

Authors: Chen, Zhuo | Chen, Ruoxi | Chen, Songtao

Article Type: Research Article

Abstract: With the development of urbanization, the application of GIS technology is more and more extensive. This study mainly discusses the development of urban planning intelligent management information system based on GIS. To design and build a rule-detailed spatial data model, provide the physical model and the data model corresponding to the logical layer from top to bottom in all steps, based on the attribute information stored in the Geodatabase model. According to the parameters set, connect to the database through the Oracle Connection class. The defined query criteria are converted into SQL statements that are executed using the Oracle Command …class. Multi-source data integration middleware integrates various data formats with a GIS software format conversion tool or direct reading tool and then uses the geometric encoding semantics of data dictionary to represent the integrated data of system data model after merging. Property queries use the interactive search function for properties and spatial information to query the land use index for a particular area of the chart. If there is a scene roaming request from the input device, the 3D scene needs to be adjusted according to the input. Display the scene effects of a 3D virtual demonstration on a computer monitor. Start the GIS management operation function to deal with the case, and realize the user’s management of the urban planning system function with the concept of stratification. Fuzzy recognition mode is applied to identify the degree of the environmental impact of eco-city planning. The impact of urban planning on the environment is H ≈ 0.11 (0.1 < H < 1), which meets the expected standard. The results show that the system demand evaluation designed in this study is good, and the overall operation of the system is relatively stable, which plays a promoting role in urban planning. Show more

Keywords: GIS technology, urban planning, intelligent management, system research

DOI: 10.3233/JIFS-189440

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6007-6016, 2021

Authors: Ding, Qiaoying

Article Type: Research Article

Abstract: The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a …model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks. Show more

Keywords: Fuzzy theory, financial enterprise, risk early warning management, intelligent real-time system, monitoring and prevention

DOI: 10.3233/JIFS-189441

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6017-6027, 2021

Authors: Song, Chunhuan | Qian, Fucai

Article Type: Research Article

Abstract: With its unique array arrangement, the detection system radar has both space diversity gain and waveform diversity gain, and is currently recognized as a stealth target buster. The detection system radar is applied to a high-speed moving platform. Using distributed cooperative detection technology, non-coherent fusion detection based on signals can further improve the detection of stealthy targets. Aiming at the high-speed motion radar signal processing algorithm, this paper mainly studies the following three aspects: the first content is the analysis of the waveform characteristics: the basic principles and characteristics of the radar are explained; then the three orthogonal waveforms commonly …used in the radar are introduced, including Stepwise frequency division chirp signal, quadrature phase coded signal and mixed-signal; the second content detects radar targets and analyzes the correlation between the scattering coefficients of different radar channels; for scenarios where the scattering coefficients between the channels are non-coherent Introduced two kinds of non-coherent fusion detectors based on generalized likelihood ratio algorithm: centralized detector and double threshold detector; the third content radar multi-target pairing is aimed at the problem of radar multi-target pairing with large inertial navigation error. A multi-target pairing algorithm that uses target delay information and combines the radar’s multi-channel information redundancy characteristics is presented. An expression for judging the correctness of target pairing is derived, and the target pairing steps are given. The relationship between the amount of algorithm operation and the number of radar stations and the number of targets is analyzed in conclusion. Show more

Keywords: High-speed motion platform, generalized likelihood ratio based, orthogonal waveform, non-coherent fusion detection

DOI: 10.3233/JIFS-189442

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6029-6038, 2021

Authors: Yuan, Zhiqian | Jin, Chaoyang | Chen, Zhaojun

Article Type: Research Article

Abstract: In recent years, with the rapid development of computer technology, the need for barrier-free communication between people of all countries have become more and more urgent. Therefore, it is extremely important to establish a high translation accuracy and high-quality English translation system. At present, Although the various English translation systems on the market have solved the communication problems between different languages to a certain extent, there are a series of problems such as language translation ambiguity and inaccurate use of words in translation methods, in order to improve English The translation accuracy of the translation system can improve the quality …of the English translation system. This paper proposes a language analysis study of the English translation system based on fuzzy algorithms. The research of this paper firmly grasps the analysis and understanding of the language, analyzes it from the corpus, vocabulary, syntax, and translation characteristics, and fully understands its language characteristics, so as to eliminate the semantic understanding ambiguity in the translation process to a certain extent. Thereby improving the accuracy of the translation. The English translation system designed in this paper includes an image input module and an image recognition module, so the Gaussian blur algorithm is used for processing. The Gaussian blur algorithm can retain edge information in the edge area where the pixel value of the image changes sharply, and can effectively remove noise and enhance the image effect. Therefore, this article uses fuzzy algorithm-based English translation system language analysis research, first analyze the English language characteristics, and then use Gaussian fuzzy algorithm to denoise the image in the translation system, and then display the image recognition results. Show more

Keywords: English translation system, language analysis research, fuzzy algorithm

DOI: 10.3233/JIFS-189443

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6039-6047, 2021