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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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Applied Mathematics and Nonlinear Sciences
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2444-8656
Published by Sciendo Homepage  [370 journals]
  • Research on mobile Awareness service and data privacy Protection based on
           Linear Equations computing protocol

    • Abstract: In the steady development of social economy, in order to solve the data privacy problem of mobile sensing service of Internet of Things and improve the service level of practical system operation, it is not only necessary to comprehensively master the acquisition process of static information and dynamic information, but also to combine the protection status of previous Internet of Things technology and sensing data. Deeply explore how to ensure the confidentiality, integrity and controllability of mobile awareness services and related data privacy. In this paper, we study the knowledge of the parsing process of system of linear equations, the system studied the movement perception service framework and data privacy security requirements, is proposed for mobile data privacy protection model of perceived service, has been clear about the mobile service perception model and the application of data privacy protection algorithm, it not only conforms to the protection of the Internet of things moving perceived service requirements, It can also provide basic guarantee for the application of perceptual data in modern development.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • The trend and influence of media information Propagation based on
           nonlinear Differential equation

    • Abstract: In the rapid development of Internet technology, online social network has gradually become the main channel of people access to and dissemination of information, the large quantities of users of the system on the basis of mutual concerns the way to build social relationships, and information will be used to recommend, forwarding, distribution in various media platforms fission is spread, the network structure not only provides a new platform for information transmission, It also has a brand new impact on the dissemination of new media information. Therefore, based on the solving process of nonlinear differential equation and the information transmission form of Sina Weibo, this paper systematically discusses the trend and influence of media information transmission in the new era, so as to provide effective basis for media information transmission and platform construction in the future.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Algebraic Equations in Educational Model of College Physical Education
           Course Education

    • Abstract: In reforming the college physical education curriculum, we can introduce algebraic equations to solve the optimization problem of college physical education curriculum training. The article expounds on the principle of algebraic equations based on consulting many documents. At the same time, we apply it to physical education teaching. This method dramatically improves the numerical behavior of the violation correction method in traditional curriculum education and training. At the same time, the technique is simple, practical, and efficient. Finally, a numerical comparison is made between this method, the traditional augmentation method, and it's default correction method.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Chinese-English Contrastive Translation System Based on Lagrangian Search
           Mathematical Algorithm Model

    • Abstract: The English-Chinese machine translation system is a current research topic. This paper designs an English-Chinese comparison system based on Lagrangian search mathematical algorithm. This paper proposes a Lagrangian algorithm to describe the English short syntax and improves the English-Chinese translation algorithm. When expanding nodes, the algorithm expands on the inspiration node and expands on other nodes. The experimental results show that the improved Lagrangian search algorithm can obtain better translation results and search efficiency in the system.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Scientific Model of Vocational Education Teaching Method in Differential
           Nonlinearity

    • Abstract: This paper uses nonlinear differential equations to establish a relationship model between enrollment, education, and employment in vocational education. In this paper, the local stability of the vocational education system is analyzed utilizing nonlinear differential theory and numerical simulation. At the same time, we carried out a numerical simulation of the system's dynamic behavior. Through numerical simulation research, it is found that the model has peculiar nonlinear behavior and dynamic characteristics when its parameters take some specific values. Finally, we get the critical condition of the stability of the vocational education system according to the model established in the article.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Financial Risk Prevention Model of Financial Institutions Based on Linear
           Partial Differential Equation

    • Abstract: The financial risk early warning model is an effective means of risk prevention. This paper's linear partial differential equation is innovatively applied to financial institutions’ financial risk early warning system. At the same time, we construct a partial differential equation, linear discriminant model, based on the extreme value principle. The system can effectively avoid the problem of fractional model failure. The simulation results show that the algorithm in this paper improves the accuracy and speed of financial risk early warning and significantly reduces the two-class classification error rate of the model.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Research and implementation of smart city public information mining
           analysis system based on mobile edge model of game theory

    • Abstract: With the rapid development of the Internet, GSM (Global System for Mobile Communications) is gradually developing towards “centralization, standardization, informationization, and refinement”. Since 2011, China has carried out smart city construction projects and awarded nearly 200 cities as pilot cities for smart cities. Smart cities gradually begin to expand and build, and with it comes the generation of a large amount of smart city public information. It is urgent to realize the rational mining and analysis of information, and it is urgent to provide practical solutions to solve the practical problems faced by smart cities. Smart city management and services. This paper constructs a smart city public information mining system based on GSM wireless network. The system is independent of the mobile network. By migrating computing and storage capabilities and business service capabilities to the edge of the network, applications, services, and content can be localized and distributed in close proximity. The deployment and development prospects are broad. A smart city video network service platform based on mobile edge computing, relying on edge computing technology, introduces GSM offload gateways in the deployment, reconstructs mobile networks, uses 5G edge computing capabilities to calculate videos, stores and forwards them to the edge computer processing space, changing the mobile network Economic form. In addition to the task scheduling problem of the system environment in this paper, a distributed multi-user computing task scheduling algorithm with the goal of achieving Nash equilibrium is proposed. Game theory and mathematical derivation are used to prove that the system overhead has an upper limit of convergence and to quantify several efficiency factors for centralized optimization performance. The system makes full use of part of the existing mobile network resources, combines traditional network optimization technology with advanced information mining and analysis tools, has complete information management capabilities, and guarantees the service quality of the entire smart city public information platform. The urban public information platform provides non-communication applications with mobile network characteristics.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Application of Linear Partial Differential Equation Theory in Guiding
           Football Scientific Training

    • Abstract: In this paper, the deep learning method is used to detect the training videos to obtain the prediction trajectory of football motion. At the same time, we propose a football tracking framework based on Kalman filtering. This paper uses the Kalman filter algorithm to track the football target. We give solutions to the target occlusion problem and the trajectory splitting problem. The study results found that the traditional simple prediction method affected the performance of the competition due to its low accuracy. In this paper, the Kalman filter prediction method is used to improve the accuracy of football trajectory prediction.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Application of regression function model based on panel data in financial
           risk management of bank resource allocation

    • Abstract: This paper studies the financial risk management of resource allocation of listed commercial banks in my country, starting from the fundamental influence of lender credit rating in the internal rating system of commercial banks, and analyzes the influence of a large number of subjective factors contained in the bank's credit rating system on the rating effect. Influence. A sort-response panel regression function model with random effects (including random intercept terms and random coefficients) is proposed, and the rationality of the existing bank credit rating system is tested and analyzed. The experimental results show that the model's prediction accuracy rate is 48.27%, and the percentage of prediction level error within two levels reaches 86.8%. The application of this model can find the redundant indicators of the existing system, which are highly fitted with the actual situation and can achieve quite ideal forecasting results, and provide a forecasting reference for the weight setting, which provides a basis for the revision of the bank's credit rating system.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Application of Nonlinear Fractional Differential Equations in Computer
           Artificial Intelligence Algorithms

    • Abstract: In order to study the application of nonlinear fractional differential equations in computer artificial intelligence algorithms. First, the concept, properties and commonly used neural network models of artificial neural network are introduced, the domestic and foreign status quo of the application of fractional calculus theory to neural network technology is described. Then, the definition, properties and numerical calculation methods of fractional calculus theory are introduced in detail. Then, based on the analysis of artificial intelligence neural network algorithm, the theory of fractional differentiation is introduced, construct BP neural network based on fractional order theory. The Sigmoid function is used as the node function of the neural network, and the actual data is used as the sample set, train a fractional-order network. Finally, by training the network, summarize the change of the two parameters a and p in the function, the impact on the training of the entire network, and make a simple comparison with the fractional order neural network based on the sigmoid function. Experiments show that a variable-order iterative learning algorithm is proposed and applied to the training of neural networks, the results show the feasibility of this algorithm and its advantages in convergence speed and convergence accuracy.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Semiparametric Spatial Econometric Analysis of Household Consumption Based
           on Ordinary Linear Regression Model

    • Abstract: In order to solve the problem that the image processing time is too long in the use of the original college education information power method. Therefore, the design of the fractional differential equation of higher education information power method. According to the information source, a combination of various methods is set to complete the data collection. Compared with the content of fractional differential equation, the fractional differential equation is selected to complete the image information processing. Develop the processing process and select the appropriate equipment to complete the image processing. Set up experimental equipment, select experimental samples to obtain experimental results. Compared with the original method, the image processing time of this method is significantly shorter than that of the original method. Therefore, this method is more efficient for image processing and has a more obvious effect on the informatization of university education.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Video adaptive watermark embedding and detection algorithm based on phase
           function equation

    • Abstract: In order to improve the video watermark embedding strength and balance the transparency of the watermark system, this paper proposes a combination of all phase Biorthogonal Transform and watermark embedding to complete the experiment. Firstly, the all phase biorthogonal transform is described. Referring to the construction process of APBT, combined with APDF and DST, a new all phase biorthogonal transform, all phase discrete sinusoidal biorthogonal transform (APDSBT), is proposed. This paper makes full use of MPEG-2 compression format to embed watermark directly in DCT domain. The low-frequency coefficients in the DCT block of the brightness space of I frame are selected as the watermark embedding space. The brightness component of each image block is transformed by two-dimensional DCT in the unit of 8×8 image blocks. By introducing the idea of energy receiver into the detection of digital watermark, the following correlation detector can be obtained. Implemented with MATIAB and VC + +. In the experiment, the foreman video test sequence is used as the watermark carrier, and the copyright logo image designed by ourselves is used as the watermark image to test the video watermarking system. The results show that when the coding rate is 3Mvps, the accuracy of each plane is 100%, 98.48%, 98.12% and 96.27% respectively. When the coding rate is 2.6Mvps, the accuracy of each plane is 100%, 96.38%, 94.87% and 95.21% respectively. This algorithm selects the frame of video to embed watermark. On the premise of ensuring video quality, this algorithm is robust to common video watermark attacks (MPEG compression, frame loss, frame clipping and frame rearrangement).
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Research on Resonance Properties of Semantic Wave Fractal Fractals Based
           on Quantitative Analysis of English Corpus

    • Abstract: Aiming at the increasing research demand of the resonance properties of semantic waves in quantitative analysis of English corpus, this paper constructs a three-dimensional integrated fractal model of semantic waves, and extends the transformation of semantic waves in system functional linguistics to the lexical grammar level. The in-depth analysis provides objective and explicit analysis and identification criteria for the study of semantic waves in the legalized code theory. Through the experimental method, the type resonance characteristics between different types of semantic waves in English popular science discourses are investigated. The experimental results show that the frequency of peaks and troughs varies from 2 to 153 based on different characters, and the construction of different types of semantic waves presents the legalized communication process of knowledge popularization, embodies the social education essence of popular science practice, and is the basis of popular science discourse. The legal representation of persuasive and informative discourse features in the process of knowledge construction provides a reference standard.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • A Hybrid Computational Intelligence Method of Newton's Method and Genetic
           Algorithm for Solving Compatible Nonlinear Equations

    • Abstract: In order to solve the system of compatible nonlinear equations, the author proposes a hybrid computational intelligence method of Newton's method and genetic algorithm. First, the Quasi-Newton Methods (QN) method is given. Aiming at the local convergence of the algorithm, it is easy to cause the solution to fail. By embedding the QN operator in the Genetic Algorithm (GA) and defining the appropriate fitness, thus, a hybrid computational intelligence algorithm of CNLE is obtained that combines the advantages of GA and QN method, which has both faster convergence and higher probability of solving. Experimental results show that: The value of the selection probability pn of the QN operator also directly affects the solution efficiency. Generally speaking, for strong nonlinear CNLE composed of multimodal functions, pn can be larger; For weakly nonlinear CNLE composed of functions with fewer extreme points and stronger monotonicity, pn can be smaller. It is demonstrated that the computational results show that this method significantly outperforms the GA and QN methods.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • The Technical Research on the Assessment of Network Security Situation
           Based on D-S Evidence Theory

    • Abstract: With the increasing importance of network security, more attention is paid to the research on network security situation awareness, while network security situation assessment is the core of situation awareness. The existing situation assessment technology has many problems, such as unitary methodology, large-scale subjective factors and so on, affecting the accuracy of situation assessment. Combined with the traditional network security technology, this paper sets up a three-layer evaluation index system, and puts forward an overall network security situation evaluation model based on hidden Markov model, PageRank algorithm and D-S evidence theory, through which, the overall situation is evaluated after using different fusion algorithms in different fusion stages. The simulation result shows that the above assessment method is more accurate and efficient than the method using single model.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Query Translation Optimization and Mathematical Modeling for
           English-Chinese Cross-Language Information Retrieval

    • Abstract: The basic theory of the neural network model used in this research is particle swarm optimization, applied to English-Chinese translation retrieval and model optimization. The decoded form obtains the translation task sequence. This topic uses TensorFlow to complete the construction of the translation system. This research solves the typical lack of semantic information in the hierarchical model. The demonstration of examples shows that the neural network model based on particle swarm optimization can significantly improve the quality of machine translation.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Enterprise financial strategy and performance management analysis based on
           principal component analysis

    • Abstract: Under the condition of social and economic growth rate continues to slow down, enterprises put forward environmental protection policies from the perspective of long-term development of resource construction, and enterprises will face more and more competitive pressure. If an enterprise wants to break through its own development bottleneck and become one of the enterprises drafting national standards in the industry, it must have a comprehensive understanding of its financial strategy and performance management program. This paper studies using the principal component analysis (pca), after consulting relevant financial performance evaluation literature, based on an enterprise's financial performance data for principal component analysis, will have access to financial performance evaluation results ranking and scoring, not only can be found that there were problems, also will use modern management theory to replace the traditional financial performance evaluation methods, Give priority to scientific and comprehensive financial indicators for performance evaluation, so as to put forward effective solutions to help enterprises to clarify their own competitive pressure and market positioning.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Multiple Effects Analysis of Hangzhou Issuing Digital Consumer Coupons
           Based on Simultaneous Equations of CDM Model

    • Abstract: With the comprehensive development of informatization, digital consumption provides a market space for various consumer coupons. Taking the consumption voucher stimulus method of the Hangzhou Municipal Government as an example, the relevant departments issued a certain amount of electronic consumption vouchers to citizens within the city online, and at the same time tracking the subsequent consumption records to promote the sluggish market economy affected by the new crown epidemic. And stimulation. This article constructs a CDM model to assist in analyzing the joint equation of the economic impact of Hangzhou's digital consumer coupons. The multiple effects of electronic consumer coupons on the market economy and society are discussed and analyzed. After research and discussion, this method can promote the sluggish consumer market in the context of the epidemic.
      PubDate: Fri, 15 Jul 2022 00:00:00 GMT
       
  • Research on deformation monitoring of tunnel engineering based on 3D laser
           scanning

    • Abstract: The paper mainly studies the deformation monitoring of tunnel engineering based on 3D laser scanning. First, the principle and characteristics of 3D laser scanning technology are expounded, which lays a theoretical foundation for the research. Then, the flow and main technologies of tunnel engineering deformation monitoring are analysed. Among them, the general process includes four stages: preliminary preparation, point cloud data capture, point cloud data processing and deformation analysis. The main technologies include point and data pre-processing technology and tunnel axis fitting. Finally, combined with the case, deformation monitoring is implemented to analyse the deformation of the tunnel in detail.
      PubDate: Wed, 15 Jun 2022 00:00:00 GMT
       
  • Financial customer classification by combined model

    • Abstract: This paper explores the pros and cons of different algorithm models on the same selection problem, and then uses the combined prediction theory to obtain a new combined prediction model to explore its prediction accuracy. The actual problem to be solved is to help financial institutions to scientifically classify customers who choose financial products. We select the bank data set in the UCI database, which is derived from the survey data of a customer conducted by a financial institution in Portugal for a wealth management product. Decision tree C5.0 algorithm, naive Bayes classification algorithm and binary logit model are individually used to carry out a single model of empirical research on financial product customer classification. Through the empirical analysis of the five combination models, it is concluded that in the model that uses the least squares weighting method to determine the weight, the weight appears negative, which does not conform to the actual situation. The model that is based on the least squares weighting method and the model that is based on the simple weighting method are excluded. In contrast, the arithmetic mean weighted model is better than the reciprocal variance weighted model and the reciprocal mean square model. The accuracy reaches 89.91%, which is 0.43% higher than the accuracy of a single model. It can be concluded that the model that is based on the arithmetic average weighting is a better combination forecasting model.
      PubDate: Tue, 31 May 2022 00:00:00 GMT
       
 
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