Volume 7 (2022): Issue 2 (July 2022)

Performance evaluation can promote the continuous improvement of the laboratories in a college. It is necessary to take into account the scientific evaluation method during the process of the performance evaluation. In this paper, a performance evaluation method based on the fusion of the decision tree and BP neural network is presented. In detail, the decision tree model is used to select performance evaluation indexes with high weight. The BP neural network was adopted aiming to reduce the impact of assessment prediction of classification by non-core factors. First, the data were pre-processed by trapezoidal membership function. Then, the decision tree was generated by the C4.5 algorithm to select the evaluation indexes with high weight. Then, the BP neural network was trained with as many samples as possible by evaluation indexes; it possesses experts’ experience which can be used to predict the performance evaluation results. The method overcomes the shortages of the separate model, eliminates the disturbance of human factors and improves the accuracy of the evaluation. Experiments show that the model is feasible and effective in performance evaluation of college laboratories. The outcomes of this work can provide a scientific evaluation method for people such as researchers, college administrators and laboratory managers. Also, this paper will help them to improve the management of laboratories and provide them with decision references for constructing the laboratories.

This research presents a critical examination of 102 undergraduate students’ experience with e-portfolios in a university based in Northwest China. Qualitative data are collected via interviews to explore the advantages and disadvantages of e-portfolios in order to examine the possibility for popularization of the application and further improvement as well. Findings reveal that e-portfolios are beneficial in the aspects of new knowledge creation, learning management, reflective learning, test anxiety elimination, as well as student performance assessment. Meanwhile, some problems have also been revealed, which have pedagogical implications.

This paper proposes a mathematical function movement model based on the gait movement of the human body and, in particular, on the trajectory of the limbs during human movement. The article systematically measures and experimentally deals with the trajectory of the limbs of 40 students in the walking movement. The linear high-order polynomial fitting method eliminates the motion error. Simultaneously, the linear relationship least square method is used to obtain the expression of the limb motion function. Finally, the mathematical model of the limb motion trajectory is obtained. It is verified through experiments that the model proposed in the thesis can calculate the law of limb movement and movement parameters of any person under normal walking movement. This research has high research value for human movement rehabilitation and the design of wearable equipment.

People exercising under high ambient temperature will cause changes in physiological indicators. In order to study the thermal physiological state of the human body, we randomly selected 18 volunteers into the thermal environment exercise group and the room temperature exercise group. Two groups of volunteers performed aerobic exercises in different thermal environments. In the case of exercise performed every 15 min, the volunteers’ hemorheology, physical performance rating (RPE) value and rectal temperature (Tre) were tested. At the same time, we recorded the physiological indicators of the volunteers and simulated the thermal physiology. The results showed that there was a difference in the thermal physiology of the two groups of volunteers, and the hemorheology and the self-strain rating scale were highly correlated in the thermal environment (r=0.839, P<0.01). For this reason, we can conclude that exercising in a hot environment will make people have a heavier heat stress response, and thus render them more likely to undergo muscle fatigue. It is advised that exercising at high temperatures may be avoided as much as possible.

The paper uses mathematical-statistics–related methods to conduct an MCM examination of the physical health of all freshmen in a particular university. The study found that taking first-year students as the research object enables the inference that the four primary factors of college students’ physiological structure, physical form, psychological level and athletic ability can form a mathematical vertebral body model. This model can point out a new path for studying students’ physical health and realise a comprehensive assessment of students’ physical health.

The paper proposes a data model analysis algorithm for human motion function based on short-term behaviour. The algorithm uses a functional data analysis (FDA) method to perform Fourier fitting on the motion data and extract the fitted approximate single period data. Finally, the algorithm depicts the internal change in the motion in the low-dimensional space. The study found that the characteristic motion data obtained by the algorithm has smooth characteristics, and the relevant case analysis also verifies the algorithm's effectiveness.

This article uses a finite element nonlinear mathematical model to analyse the psychological conditions of children with certain physical defects. The thesis uses exercise and psychological intervention to intervene in children with material defects and scores the children’s mental state and cognitive status after the intervention. After our training and psychological intervention, the study found that the psychological evaluation scores of children with physical defects increased significantly. Before and after the intervention, there are apparent differences in children’s cognition in vocabulary and arithmetic. There is a nonlinear negative correlation between children’s cognitive abilities with physical defects and the scores of mental health status and neuropsychological evaluation. For this reason, the study concluded that movement and psychological intervention play a significant role in improving the cognitive function of children with physical defects.

The initial value problem of stiff functional differential equations often appears in many fields such as automatic control, economics and its theoretical and algorithmic research is of unquestionable importance. The paper proposes a rigid functional equation based on the integral process method of the financial accounting measurement model of numerical analysis. This method provides a unified theoretical basis for the stability analysis of the solution of the functional differential equation encountered in the integrodifferential equation and the financial accounting fair value measurement model of investment real estate.

Information technology application ability is a necessary professional ability for teachers in the information society. The means to take effective measures to promote the acquisition and transfer of teacher information technology application ability involves undertaking measures to facilitate teachers to transform teaching methods, deepen basic education curriculum reform and promote teachers’ lifelong learning. It plays a vital role in effectively promoting the independent development of majors and further cracking the bottleneck problem of educational information development. This study uses the fractional differential equation method to select 220 elementary and middle school teachers in the Northeast Teacher Education Innovation Experimental Zone as the research objects. The research objects are measured by a scale and fractional differential equations are used to build a system that includes school factors, human factors, policy and institutional factors, training factors, self-efficacy factors and motivation factors of teacher information technology application ability transfer fractional differential equation influencing factor model; we hope to solve the problem of ‘learning and use disconnect’ in the process of teacher information technology application ability training, and to promote the effective transfer of teacher information technology application ability that can be used as an important reference.

The pricing and hedging of financial derivatives have become one of the hot research issues in mathematical finance today. In the case of non-risk neutrality, this article uses the martingale method and probability measurement method to study the pricing method and hedging strategy of financial derivatives. This paper also further studies the hedging strategy of financial derivatives in the incomplete market based on the BSM model and converts the solution of this problem into solving a vector on the Hilbert space to its closure. The problem of space projection is to use projection theory to decompose financial derivatives under a given martingale measure. In the imperfect market, the vertical projection theory is used to obtain the approximate pricing method and hedging strategy of financial derivatives in which the underlying asset follows the martingale process; the projection theory is further expanded, and the pricing problem of financial derivatives under the mixed-asset portfolio is obtained. Approximate pricing of financial derivatives; in the discrete state, the hedging investment strategy of financial derivatives H in the imperfect market is found through the method of variance approximation.

In order to verify the effectiveness and feasibility of the combination of motion capture technology and teaching, based on dance teaching, this paper proposes a dance posture analysis method based on feature vector matching and applies it to dance teaching.. The main research work includes the following: (1) according to the characteristics of human motion poses-free editing, extracting human skeleton models, establishing a human motion model database, analysing the application of motion capture systems in dance training, and proposing a method of feature plane similarity matching to calculate model components and motion parameters. After verification, the method has high accuracy and robustness for the analysis of human posture, so that dancers can accurately compare the differences with standard dance movements, and provide theoretical support for scientific dance training. (2) Aiming at the complexity of learning dance, a dance teaching method based on motion capture technology is proposed. Using motion capture technology, a whole complex dance movement is decomposed into many small segments to make a teaching animation, which guides students to learn based on small dance movement. Imitation makes the abstract theory vivid, intuitive and easy to understand, which is conducive for the innovation of education and teaching methods.

The article uses the Spss statistical analysis software to establish a multiple linear regression model of short-term stock price changes in domestic agricultural listed companies. It uses a stable time series based on the ARMA model for stable agricultural value-added, fiscal expenditure and market interest rates. The regression method is used to study its impact on the stock price index. Compared with the existing stock forecasting methods, this method has simple data collection and no specific requirements for data selection, and the prediction results have a high degree of fit. Therefore, this method is suitable for most stocks.

From the perspective of physics, this article analyzes the various factors that affect the distance of shot put in the process of actual shot put. Based on the actual situation, it uses fractional calculus and physical formulas to calculate the shot throw distance and to conduct a comprehensive analysis. The experiment confirms that the three factors that affect the shot flying distance are the shot angle, shot speed, and shot height and analyzes the relationship between these three factors and the impact of each univariate on the shot flying distance. The analysis results show that among the three factors, the shot speed has the greatest impact on the flight distance, followed by the shot angle, and the shot height has the least effect; moreover, the optimal shot angle is not a specific value but a general range.

Human resource management organisation's goal must be achieved by regulating employee behaviour through a restraint system. We conduct quantitative research on employee behaviour under organisational constraints, which is an essential means to ensure the organisation's healthy and stable development. The employees themselves adapt to the organisational goals, obey the organisation's constraint system and allocate their resources so that there is less research on optimising their behaviour. This article briefly reviews the research and application of economic theory, organisational behaviour, human resource management and other aspects of optimising employee resource allocation behaviour. The thesis defines organisational resources and divides them into three types. Based on the constraint system, we turn the organisation's control, requirements or incentives on employee behaviour into above or below employee operating constraints; we believe that the constraint system has the characteristics of discrete and hanging river effects, and we have obtained an evaluation. Two algorithms of the organisational constraint system. The article discusses employee resources and behaviours. At the same time, it attempts to construct a quantitative model based on the employee's multi-objective, nonlinear, continuous and discrete constraints, on the allocation of resources and behaviour optimisation and on the employee's adaptation to the organisational constraints. Under the premise of optimisation, several situations in which the model solves the optimal solution are studied. The research found that this article can fill the gaps in employees’ self-adaptation to organisational goals and behaviour optimisation quantitative models.

In the context of Internet big data, the market characteristics of the financial market can be used to feed back its stability with the help of differential equation models. China's financial market is roughly divided into three main markets: stocks, currency and foreign exchange. The interaction of the three has promoted the development of the financial market. With this as a background, the paper aims at these three financial markets and selects relevant indicators that can reflect the indications of the financial market to construct differential equations to analyse the relationship between the three. The paper uses the nonlinear characteristics of ordinary differential equations and related algorithms to solve the three types of market models. It uses an example to demonstrate that the differential equation model proposed in this paper can feed back the evolutionary characteristics of the three, and this model can help investors produce more correct investment decisions.

Based on the traditional form of the endogenous growth model, and for it to increase the micro-foundation that includes the homogeneous and representative bank resource allocation, this paper constructs an endogenous economic growth model that includes the investment structure of the residential sector and financial deepening. Using China’s prefecture-level data proves that due to the inherent difference between the central planner’s single equilibrium solution and the family’s decentralised equilibrium solution, when the residential sector’s preference for real estate investment causes the investment structure to deviate from the optimal level of society, the increase in the proportion of real estate investment The allocation efficiency of financial resources has a significant inhibitory effect and drags down the realisation of long-term potential economic growth. In the absence of a central planner in a market economy, increasing leverage may not mean financial deepening, but may reduce financial efficiency (FEt) and accumulate systemic financial risks.

Financial accounting, the use of historical cost of assets, is an important basic principle of historical cost, which is to become the dominant mode of accounting measurement. Background analyses, as well as the historical cost basis and fair value, result from the development of the theory of historical cost and fair value. Historical cost and fair value measurement model has its own advantages and problems. Based on this background, the paper applies B-theoretical numerical methods to differential equations pan function analysis for calculation of fair value accounting and conducts theoretical analysis of their stability and convergence. Finally, numerical examples with different methods of calculating an approximate solution are provided and a comparison of the various methods is done based on the results obtained. The results show fair value accounting better meets the needs of the target –decision-making availability, compared to historical cost or fair value, more in line with the requirements of Accounting Information Quality.

Aiming at the freely editable characteristics of human motion posture, a human skeleton model is extracted, and a human motion posture model library is established. The application of motion capture system in dance training is analysed, and a method based on similarity matching between feature planes is proposed to calculate each model. Parameters of motion data between parts are obtained. After verification, the method has high accuracy and robustness for the analysis of human poses so that dancers can accurately compare the differences with standard dance movements and provide theoretical support for dancers to perform scientific dance training.

The trajectory tracking of badminton players’ arm shots can be used effectively to enhance the player’s shot quality. To track the image trajectory of the batting arm, it is necessary to calculate the body posture ratio and tightness of the target area of the batting arm, to filter the background interference of the image segment of the batting and to complete the efficient tracking of the trajectory of the arm batting image. The traditional method combines the adaptive threshold segmentation method to extract the hitting arm target from the background, but ignores filtering out the background interference of the hitting image fragment. This paper proposes a trajectory tracking method based on the morphological operator of the batter image of the arm stroke. The method consists of (1) differentially calculating the image sequence of the hitting arm during two consecutive shots, (2) estimating the Gaussian model parameters of the differential image of the hitting arm during the hitting process, (3) extracting the outline of the moving target of the hitting arm during the hitting process and then calculating the body posture ratio of the hitting target area and compactness, (4) filtering the background interference of the shot image fragment, (6) constructing a global matching approximation function of the moving target and (7) finally determining the motion trajectory of the badminton arm of the batter. Simulation results show that the proposed method can effectively track the target of the hitting arm during the hitting process and generate a continuous trajectory of the hitting arm.

Firstly, based on the charging theory of ‘education cost-sharing,’ under appropriate assumptions, two basic differential equation models are proposed to describe the problem of college education charges; secondly, through qualitative analysis of the basic model, it is concluded that colleges and universities maintain or impose several conditions for stabilising its education fees; finally, through the analysis of two basic models in three unique models under three situations, some new conclusions and suggestions on the macro-control of college education fees and enrolment scale are given. Also, three extended differential equation models are proposed.

In order to promote the development of sports training robots and improve the training of lower limbs in Sanda, a new mechanical structure of Sanda training robots is designed. The thesis combines the mathematical method of fractional differential equations to design a new type of omnidirectional moving platform mechanism, which realises the movement in any direction in the plane and can turn at any radius during the movement. From the perspective of kinematics, the mathematical relationship between wheel speed and robot trajectory is analysed, and a virtual prototype technology combined with Pro/E and Adams joint modelling and simulation method is used to establish an accurate and reliable virtual prototype model. The experimental simulation results show that the designed virtual prototype model is consistent with the mathematical model, which verifies the practical feasibility of the mechanical structure of the lower limb power generation robot for Sanda movement, and provides a reliable basis for the establishment of the physical prototype.

The article analyses why colleges and universities should strengthen innovation and entrepreneurship education based on ‘mass entrepreneurship and innovation.’ First, we conduct a questionnaire survey on the status quo of college students’ innovation and entrepreneurship and use nonlinear methods to construct an evaluation model of innovation and entrepreneurship capabilities to evaluate students’ innovation and entrepreneurship capabilities quantitatively. Finally, we verify the effectiveness of the combined evaluation model through the data on the innovation and entrepreneurship of college students. The research results can provide a new idea for appraisal of college students’ innovation and entrepreneurship ability.

In order to solve the practicality of the infant mental health tracking system, the system is simulated based on mathematical differential equations. The SSH framework technology of the mode-view-controller (MVC) design model analyses and designs the model of the prevention and control system of children's mental health. In this design pattern, the Struts framework is used to realise the separation of the view layer, the business layer and the control layer, and the Hibernate framework is used to realise the data persistence layer, thereby obtaining a system solution with strong scalability, low coupling and easy maintenance.

A bridge structure is one of the most expressive forms of art design. The artistic expression of bridge structure combines different concepts of structural design and architectural art design. Finite element differential equations are widely used in bridge art design theory and based on these features, the paper adopts the bridge modal parameter recognition algorithm and uses the finite element model to modify and realise the bridge's artistic design. The simulation results show the feasibility of the author's attempt to use the finite element differential equation as the bridge structure art design carrier. After the finite element differential equation modelling, the bridge art structure correction is highly consistent with the experimental results.

Based on the differential equation verification method, this study explores the characteristic model of mental health education activities for all employees and provides further research basis for constructing the competency characteristics for all employees in mental health education colleges. The results show that (1) the competence characteristics of all psychological teachers in mental health education colleges include interpersonal understanding and communication, respect for students, student service orientation, self-regulation and control, self-confidence, desire for achievement, influence, promotion of student development, organisation and coordination, 12 characteristics of professional knowledge skills, analytical thinking and reflective ability, (2) these 12 characteristics can be summarised into 4 dimensions: help and service, personal effectiveness, management skills and cognitive dimensions and (3) 12 characteristics of the model. The top 5 in the ranking are interpersonal understanding and communication, self-regulation and control, respect for students, student service orientation and promotion of student development.

Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sports performance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisation evaluation of college sports performance; on this basis, combined with regression analysis and GA's global optimisation capabilities, a complex nonlinear relationship between student sports performance and influencing factors is established; the student's performance is calculated based on the college sports performance. The results show that the method has high prediction accuracy and good stability.

The category of audio-visual dysfunction represents the largest group of children with delayed language development. Audio-visual dysfunction not only affects children's normal communication but also hinders their growth, becoming the main reason affecting their life and learning. In China, medical resources for children with audio-visual dysfunction are noticeably insufficient and cannot be valued. The rehabilitation exercise cycle is long, and patients and their parents are mostly unable to adhere to it in the long-term. Aiming at addressing these problems, this paper tries to design and study the family treatment system of audio-visual dysfunction independently. Users with experience design users for zhongtun, jizuatun and li, experience full link, pay attention to the details of each experience point, strive to accurately complete each treatment training in the most efficient display space and play the training function of the acme. Behind the emotional expression, a good design with common characteristics of user experience is made through the front iteration process of user model establishment and data accumulation. The research content of this paper is structured as follows: first, it studies the principle of user experience, analyses the influence of mobile devices on pre-school children and discusses the characteristics of existing children's educational toys and children's interactive products, as well as the physical and intellectual characteristics of pre-school children. Then, the classification, causes and treatment of children's visual and audio impairment are discussed. The design method of combining the theoretical movement of user experience with children's audio-visual functional family therapy system is mentioned. Then, more effective user requirements were collected through observation of target user behaviour, single interview and exploration of storage and modelling. We also summarise user requirements, build user models in story form and prioritise requirements.

The paper analyses the impact of ligament stretch and tension on the speed of movement in martial arts from the perspective of sports physiology. It establishes the numerical relationship between the peak impact value of the ligament speed and the differential equation of the flexibility of the joints in the initial stage of tension (impact peak). It was found that the differential equation of the ligament tension of the movement is formed after the movement is stable, which cannot reflect the flexibility of the ligament and the mastery of the movement. In this paper, a tension calculation model for ligament equilibrium is established by using a kinetic method of motion. Although it is a static equation, continuous use can obtain dynamic effects. The simulation proves that the initial tension change is more realistic.

Aiming at the lack of subjectivity of the network security situation assessment method and the complexity and non-linearity of data obtained through situational factors, a fuzzy neural network security situation which is optimised based on an improved gravitational search algorithm combined with fractional differential equation analysis, as an Evaluation model, is proposed. In order to quickly and accurately predict the situation value of the network security situation at that moment, a method for situation prediction of long-term and short-term memory networks based on an improved Nadam algorithm to optimise the online update mechanism is proposed. Note that the situation time series obtained from online assessment cannot be used in a better and efficient manner. The model can minimise the cost function and update the model more effectively by updating the model parameters online Prediction accuracy. In order to improve the problem of slow convergence speed during model network training, the Look-ahead method is used to improve Nesterov's adaptive gradient momentum estimation algorithm to accelerate the model's convergence. Finally, the simulation results analyse and compare the prediction model, which not only improves the convergence speed of the prediction model, but also greatly reduces the prediction error of the model.

The paper adopts research methods such as literature data method, expert interview method and mathematical statistics method, and uses fuzzy mathematics theory to make a quantitative comprehensive evaluation of related data of martial arts industry. The research conclusions obtained are as follows. The shortcomings of the martial arts industry in the process of marketisation are: (1) lack of human resources; (2) local enthusiasm for investing in the martial arts industry is not high; (3) related industries and platforms that can be used are less. Suggestions to address these are: (1) improve the popularity and influence of martial arts products; (2) formulate relevant policies and regulations to guide the development direction of the martial arts industry; (3) strengthen cooperation with the media, cultivate and package high-level martial arts professionals and establish a martial arts brand image.

In the selection of basketball players, the determination of the selection index system and the weight of each index is an important prerequisite for whether the selection is scientific or not. Only when the index system is determined and the importance of each index is sorted reasonably can it be guaranteed that the basketball tactics scoring work went smoothly. This research introduces a method of X fuzzy mathematics, called analytic hierarchy process, or AHP for short. The AHP method can be used in regional planning, resource allocation, program selection, policy analysis, conflict analysis, forecast estimation, decision research, etc. The AHP method schematises the thinking process of the human brain analysis program, which can simply, comprehensively, effectively and clearly deal with complex problems restricted by many factors; it is also a quantitative tool that can be used for the measurement of the sports evaluation system.

This paper explores several differential equation models in the economic system and analyses the solution and stability of the differential equation models in order to better reflect the theoretical results in mathematics into reality. From a mathematical point of view, the analysis illustrates the important role of differential equation models in economic systems.

For the multi-criteria group decision-making problem where the criterion value is a normal interval number and the weight information is incomplete, the normal interval number and its compromise expected value, compromise mean square error, algorithm, weighted arithmetic average of normal interval number (ININWAA) Operator, the ordered weighted average (ININOWA) operator of normal interval numbers and the mixed weighted average (ININHA) operator of normal interval numbers, and a multi-criteria group with incomplete information based on normal interval numbers is proposed. Decision-making methods. This method uses ININWAA operator and INNHA operator to integrate criterion values, uses the compromise mean square error of criterion values, establishes an optimisation model to solve the optimal criterion weights and uses the expectation variance criterion to determine the order of the schemes. The case analysis shows the effectiveness and feasibility of this method.

This paper proposes a method combining fractional Fourier transform (FRFT) and a high peak-to-average power ratio suppression algorithm. Calculations show that as the order of the FRFT decreases, the peak-to-average power ratio of the signal gradually decreases; combined with the suppression algorithm can further reduce the peak-to-average power ratio of the system and solve the problem of the suppression algorithm affecting system performance. At the same time, this paper uses the 2012 World Bank survey data of Chinese manufacturing enterprises to study the influence of financial repression on the selection of financing channels of manufacturing enterprises. The research results show that financial repression has a significant impact on the choice of financing channels for manufacturing enterprises, which greatly increases the proportion of informal financial financing in the operating capital of enterprises and reduces the proportion of formal financial financing. Financial repression has led to an increase in the cost of formal financial financing, making enterprises choose informal financial channels for financing. Among them, large enterprises tend to choose commercial credit in informal finance, while small and medium-sized enterprises choose private credit It is possible to choose two financing channels, which reflects the ‘scale discrimination’ characteristics of financial repression.

In the current era, the market competition is becoming increasingly fierce, complicated and unpredictable. Based on the interaction of various factors, the probability of financial risks of listed companies is significantly improved. Because of its unique characteristics, the listed companies’ operating status affects the overall operation of China’s market economy and occupies a fundamental position in the national economic system. If listed companies have financial risks, it will cause great trauma to our economy. Based on the financial risk evaluation theory of listed companies, this paper analyzes the financial indicators of listed companies through random effect model, and puts forward the risk analysis and prediction index system of listed companies from theoretical and empirical angles, thus constructing a financial risk early warning model based on linear random effect model, and studying the financial risk early warning of listed companies with practical cases. The research results show that the financial risk early warning model of random effect model is feasible and effective, which can help listed companies to carry out financial risk early warning management and improve financial management level.

As a special commodity with high-tech characteristics required by national development, aviation equipment has the characteristics of confidentiality, long cycle and high risk during the production and research and development. Therefore, the supply chain of its manufacturing and research and development is the focus of national construction and development. On the basis of understanding the current development status of aviation equipment application, this paper analyzes its evaluation system and feedback basic mode through tree vector multiplication and X-0-1 determinant feedback basic mode calculation method, and puts forward corresponding improvement strategies in combination with specific contents, so as to ensure each interest subject to obtain more benefits at the same time. A new management method is proposed for the development of aviation equipment in the future.

In the process of modernisation, the essence of virtual 3D animation scene modelling is to enhance the rendering effect of animation, so designers need to understand and skilfully use virtual reality technology. During the scene modelling, the system perception module will obtain the perception information on the basis of understanding the behaviour state of the role, and thus provide the data basis for the emotion module and the behaviour module. Among them, the emotion module is mainly used to adjust the emotional changes of the role, and the behaviour module is mainly used to build the motion database. So this article after understanding the current situation on the basis of the virtual 3D animation scene modelling, use the geometric centroid algorithm for virtual 3D animation scene modelling technology to realise in-depth understanding, and the final results prove that the build system can not only clear intuitive present animation image, but can be in effective connection also, on the basis of multiple motion clips, to maintain the original movement in detail.

Against the background of the new era, with improvement at the socio-economic development level, scientific research scholars have begun to analyse the relations between industry agglomeration and regional economic growth, and thus of innovation for different parts of the industry upgrading and economic development to provide effective countermeasure. In order to promote the development of the regional economy in our country, there can be coordinated development. Therefore, on the basis of understanding the research status of the relationship between industrial agglomeration and regional economic growth at home and abroad, according to the multi-objective optimisation model and structural equation model, this paper conducts an in-depth discussion of the two, and finally concludes that industrial agglomeration will further promote regional economic growth.

With China's strong support for innovation and development, the policies of government guidance funds are an important driving force for leading innovation and economic transformation, and the effect of its related policies is of great significance. This paper selects 518 policies related to government guidance funds in the Beijing–Tianjin–Hebei region from 2005 to 2018 as the research object and constructs a policy efficiency evaluation indicator system from three dimensions of policy intensity, policy objectives and measures. The analytic hierarchy process (AHP) and entropy method are used to weight the output level of policy innovation performance and economic performance of government guidance funds, and grey relational analysis (GRA) is used to measure the relationship between policies of government guidance funds and innovation performance and economic performance, and corresponding policy recommendations based on the research results. The results of the research show that the policy efficiency of the government guidance funds in Tianjin and Hebei is relatively high, and the policy efficiency of the Beijing government guidance funds needs to be improved. In general, the policy efficiency of the government guidance funds needs to be further improved.

The existence of floating ice in ice storage tanks in an ice storage system affects the normal operation of the ice storage automatic control system. For the ice storage tank in an ice storage system, the ice “problem”, puts forward the way of melting ice in an ultrasonic assisted manner. This paper establishes a polynomial mathematical model of observation data changes over time, by setting a variable’s value used to model the polynomial fitting method. It could be used in the design and operation index model or higher polynomial model fitting process of melting ice. Ultrasonic wave is used to solve the floating ice problem of ice storage tank in the operation of ice storage, and the effects of ultrasonic power density, ice-water ratio, ice size, initial ice amount and other parameters on the characteristics of ice melting are tested and analysed through experiments, which provides an important reference for the practical application of this technology. It is found that the ultrasonic wave can obviously promote and strengthen the melting of ice, and the influence of power, ice–water ratio and ice size conforms to the normal theory and practice law. The greater the power, the smaller the ice–water ratio and the smaller the ice size, the faster the melting speed will be. Due to the multiple effects of technology and economy, the power density has an optimal value, which needs to be optimised according to the actual situation in the application. For large size ice, the promotion effect of high-power ultrasonic on melting ice is more obvious.

As the basic component of the national economic construction and development, the production benefits shown by enterprises directly determine the stable operation of the national economy. In recent years, the pace of enterprise economic construction innovation, as it is affected by a variety of factors and restrictions, has been the attention of the whole society. On the basis of understanding the variational calculation of constraint forms, according to the impact of financing constraint on the production efficiency of enterprises, this paper conducts an in-depth discussion on the actual constraint effects by building the corresponding research model and proposes corresponding solutions from the perspective of the development of the new era.

In the application of digital model of animation scene, image restoration technology and image denoising technology are the basic tasks of practical operation, which are closely related, but there exist also essential differences. The reason is that both of them want to obtain the original image from the degraded noise image or damaged image, but generally speaking, as there is no sufficient constraint information to accurately recover the original image, both of them are unwell-posed inverse problems. Therefore, on the basis of understanding the basic content and application research status of variational partial differential equations (PDEs), this paper discusses the application value of variational PDEs in image denoising and restoration according to the image processing requirements in the digital model of animation scenes.

In many aspects of people's production and life, artistic images have been widely used. Because the image has the function of transmitting information, it can provide necessary space environment information for people. However, there are many problems in the design of stylised art images, and hence the usability of images is affected. Due to its unique advantages, the study of artistic eye movement has gradually become a research hotspot. The fuzzy differential equation is an important branch of differential equation theory, which can be used to study eye movement experiments in the field of the art research. In the process of observation, experiment and maintenance, errors cannot be avoided, and the variables and parameters obtained are often fuzzy, incomplete and inaccurate. And fuzzy differential equations can deal with these uncertainties well. At first, this paper studies the migration-image-study-related theory and art image, based on the study of an artistic image that can be divided into instructions image and symbol and image, with the help of eye movement experiment method to investigate the effects of two types of image on people read mechanism. This research mainly uses the fuzzy differential equation for the visual search experimental paradigm to identify the influence of the difference of the effect.

With the deepening of human understanding of marine resources and the acceleration of resource development, marine industrial robots have come to be widely used. Robots are not simply a substitute for manual labour, but a personified electronic and mechanical device that combines human and machine strengths. They have both the ability to react quickly and analyse and judge the state of the environment, and the ability of the machine to work continuously for a long time, with high accuracy and resistance to adverse conditions. In industrial machinery, the gravitational field exists in threedimensional space, but if the distribution of the known field is independent of a coordinate, it is simplified to a twodimensional field, which is called a plane scalar field. There are many two-dimensional field problems in the visual positioning system of assembly system. The exact solution can be obtained by using complex function theory to analyse two-dimensional field in complex plane. In this paper, the application of complex function theory in gravitational field is discussed. In the process of cooperative assembly of marine industrial robots, it is necessary to make the correct choice to improve the cooperative assembly method of marine industrial robots, so that the robot industry in China can undergo development and renewal.

As one of the main directions of applied mathematics research, inverse Fourier transform (FT) has been widely used in image speech analysis and other fields in recent decades of development. FT is the basic content of digital image processing technology. In practical analysis, image design and interaction can be realised by using time-space domain and frequency domain, which can accurately obtain image information characteristics and achieve the expected application goals. In this paper, based on the understanding of FT and inverse transform, an improved algorithm is used to lay the foundation for the realisation of image design and interactive technology.

In the development of urban construction, regional economic differences have always been the focus of the government, society and academia. As an eastern coastal province in China, although Jiangsu has a relatively high level of economic development from an overall point of view, there is still a serious problem of regional economic disparity within it. Therefore, based on the development of local economic construction and the understanding of the phenomenon of industrial transfer, this paper uses a multiple regression model to study the regional economic coordination and thus puts forward appropriate solutions.

In industrial economy, the main factors influencing the urban construction and development of social economy is linked to the high-speed rail site accessibility, and this has its influence on the regional economy as a whole, and as an example, this can be explained through the study using a multiple linear regression equation model, built and compared before and after 2 years of data and information. Based on the weighted average travel time and economic potential, it is clear that the construction of urban expressway can help accelerate the aggregation and flow of production factors within the region, to guide the integrated development of local society and economy.

With the continuous innovation of scientific research, technological level and social and economic development, the technological innovation of enterprises in the continuous management is also facing a new breakthrough and upgrade. Especially for enterprises in the era of big data, in order to better respond to the new demands of the development of the new era, enterprise managers should make effective technological innovation from the global economic growth trend on the basis of clarifying their own development advantages. Therefore, on the basis of understanding the multiple linear regression model and its construction conditions, this paper analyses the influencing variables in the actual development according to the current management technology and innovation of enterprises, and obtains the clear results of the model research.

The completeness of the complex model is an important index to evaluate the pros and cons of the complex model. It is of great significance to study the objective evaluation under different indicators and construct an indicator system to ensure the integrity of the complex. The construction of complex system indicators requires instructors who can fully describe the functions of complex models. This study designs a complex index E_X, proves its authenticity through comparison with the real world, illustrates its similarity through conflict and comparison with the coverage of the target problem, and describes its intelligence level through confrontation and comparison with other complex models. Research on complex model problems based on the derivation process of domain theory proves that the quantified complete distance E_X can calculate the similarity between the model and the actual environment to evaluate ‘true and false’. The experiment proved to be a reliable and complex model verification indicator.

In the rapid development of modern science and technology, the human communication system has developed to 5G, and antenna in the related equipment research and technology application has also shown a positive role. With the increasing demand for antennas and their application scope, people have put forward more requirements on the beam shape of antennas. Therefore, it is very important to control the beam of multi-array antenna based on improved genetic algorithms in the new era. Therefore, on the basis of understanding the genetic algorithm and its application content, this paper studies the future development of related technologies based on the design content and test results of the broadband low-side lobe and high-gain microstrip display antenna developed in the new era.

For the comprehensive mechanised coal mining technology, the support design of the main withdrawal passage in the working face is an important link to achieve high yield and efficiency. Due to the impact of mining, the roof movement of the withdrawal passage is obvious, the displacement of the coal body will increase significantly, and it is easy to cause roof caving and serious lamination problems, and even lead to collapse accidents, which will affect the normal production of the mine. In this paper, the mining pressure development law of the main withdrawal passage support under the influence of dynamic pressure is designed, the most favourable roof failure form of the withdrawal passage is determined, and the action mechanism and applicable conditions of different mining pressure control measures are studied. The pressure appearance and stress distribution in the final mining stage of fully mechanised coal face are studied by numerical simulation. The deformation and failure characteristics and control measures of roof overburden in the last mining stage of fully mechanised coal face are analysed theoretically. Due to the fact that periodic pressure should be avoided as far as possible after the full-mechanised mining face is connected with the retracement passage, some auxiliary measures such as mining height control and forced roof blasting are put forward on this basis. The relative parameters of the main supporting forms are calculated. The main retracement of a fully mechanised working face in a coal mine channel is put forward to spread the surrounding rock grouting reinforcement, reinforcing roof, and help support and improve the bolt anchoring force, the main design retracement retracement channels in the channel near the return air along the trough for supporting reinforcing surrounding rock control optimisation measures, such as through the numerical simulation analysis, the optimisation measures for coal mine fully mechanised working face of surrounding rock is feasible. Numerical simulation results also show that the surrounding rock control of fully mechanised working face of coal mine design improvements, its main retreat channel under the roof subsidence, cribbing shrank significantly lower, and closer, to better control the deformation of surrounding rock, achieved significant effect, to ensure the safety of coal mine main retracement channel of fully mechanised working face support.

This paper, based on the numerical simulation research, has come out with findings, such as the sluggish interregional industrial transformation in China and the factors responsible for that, the need to define the new economic geography from the angle of geographic view, the need to have a theoretical model based on implementing development centre periphery, the use of element resources endowment system reference analysis, and the need for implementation of the numerical simulation of the model, and finally the need to clear the factors that influence the sluggish industrial transfer. The final results show that the factor resource endowment, transportation cost, and labour price are still impediments affecting industrial transfer. Since the development level of the manufacturing industry in eastern China has not reached the critical point of industrial transfer, it is necessary to to find out a pragmatic solution to achieve development.

With the continuous development and progress of machinery and industry equipment, human-machine interface has become an important operation in industry equipment and has been widely used in aviation, monitoring, traffic, special engineering vehicles, and a series of complex fields. Through the human-machine interface information system, information and data are provided for operators s. As the human-machine interface information data of the mechanical equipment system are numerous, complex, and changeable, operators often make operation mistakes, misread and misjudge, and do not give timely feedback, resulting in task failure or, in serious cases, major mechanical faults and accidents. Therefore, the human-machine interface data information is screened, and the information useful for the operator is directly obtained according to the target set by the operator, so as to effectively solve the complex and changeable data information in the information system. Human-machine interface uses electronic communication technology, computer network technology, and database technology to expand and update machinery and industrial equipment. Among them, nonlinear partial differential equations comprise an important branch of equation in mathematics. In this paper, according to the nonlinear partial differential equations, we research and analyze the information system of the human-machine interface design field and solve the system of the cognitive load, which is too large, such as cognitive mismatch problem in the working mode of operating personnel, by satisfying the needs of different users. The human-machine interface of mechanical industrial equipment uses visual optimization design and innovation.

This article is a quantitative study of the urban expansion of Beijing in the past two decades and its impact on the city’s heat island effect. The overall idea of this paper is a ‘basic fact description to phenomenon and law reveal-basic cause analysis-mechanism analysis-model simulation’. In this paper, the effects of urbanisation on warming in Beijing are deduced by nonlinear fitting method. Based on Google Earth Engine remote sensing image data within Beijing Inner Sixth Ring Road and using ArcGIS to retrieve Beijing’s surface temperature, the heat island effect intensity index is calculated. This paper quantitatively analyses the temporal and spatial distribution characteristics and development trends of Beijing’s urban heat island effect, combined with land use cover change (LUCC), Land Surface Temperature (LST), Normalised difference Vegetation Index (NDVI), Normalised difference Building Index (NDBI), which can explore the impact of surface vegetation distribution and building density on the urban heat island effect.

In the process of rational development and utilisation of nuclear energy, people often face nuclear accidents such as lost and stolen radioactive sources; so, the means of searching for these sources quickly in highly radioactive environments is an important security challenge. In the past, these jobs were limited to workers specialising in nuclear technology. They used gamma-ray detection equipment to search for radioactive sources, but the search efficiency was low. The main purpose of this article is to design a meta-heuristic algorithm based on imitating professional technicians to locate radioactive sources in a computer-aided manner. At the same time, due to the complexity that may characterise the actual search, the search strategy must be optimised. The article established an intelligent random search model with human thinking. Finally, it was proved based on the mathematical theory that the complexity of the model search algorithm is linear, and the simulation experiment results show that the optimisation algorithm has good efficiency and fault tolerance.

Earthquakes frequently cause serious casualties and property loss in China. Building smart communities is an effective means of preventing damage and reducing disastrous outcomes from earthquakes. This article reports on the Chinese experience of building a smart community and the concept of smart service for preventing damage and mitigating disasters from earthquakes in Hubei province. The case study examined the Xinheyuan Smart Community, which is the first such community constructed in Hubei province, including its background development, system design and system functions. The disaster mitigation function was tested when a magnitude 4.9 earthquake occurred in Yingcheng earthquake.

In the Chinese stock market, the rate of institutional holder and the company social responsibility report level are comparatively lower than those in the Western market. Historical research studies showed that there exist some connections between these two factors and company performance. This article uses the method of empirical analysis based on data during 3 years to try to find out the result.

The concept of ‘global village’ has linked all countries in the world as a whole. The exchanges and cooperation between different countries in politics, economy, culture, and education are becoming more and more frequent. To master a language, the study of its pronunciation is crucial. Based on the above considerations, this paper uses the Chinese pronunciation corpus of 30 learners and 10 Chinese native speakers as basic data to discuss the pronunciation patterns of learners’ mandarin diphthongs and their similarities to standard pronunciations. In this paper, by using the theory and methods of experimental phonetics, comparative analysis and error analysis, we exam and analyse the acoustic features of different levels of learners in the learning process, and the pronunciation and bias of learners’ mandarin diphthongs are obtained. From the experimental results, it can be seen that all three groups of learners have some difficulties in pronunciation of mandarin diphthongs. In particular, the learners have the greatest differences to standard pronunciations when pronouncing the diphthongs [ua] and [uo]. And some important rules and conclusions are summarised through experiments. This provides an important reference for learners to solve the problems of diphthongs pronunciation in Chinese speech synthesis and recognition.

With the research of urban historical landscape, its definition has been continuously deepened. The development of a city is regarded as the result of the accumulation of cultural and natural values in different periods, that is, the historical landscape of a city is the result of historical ‘layering.’ This paper takes the historical dynamic layering process of the Largo and the architectural landscape of Macau as the research content and uses the layering method to take the economy, society and culture of Macau in each historical period as the internal cause of its layering value, relating its explicit characteristics so as to explore the ways and rules of its historical layering. Moreover, in the historical layering of various dimensions, the harmonious Chinese and Western cultural values of Macau are always linked, and it is concluded that ‘the characteristics of pluralism and symbiosis have created the present Macau.’ This paper advocates that in the protection and inheritance of the urban context of Macau, we should focus on the effective protection and promotion of the multi-symbiotic culture and pass on the unique flavour of the city jointly created by the Chinese and Portuguese people.

GPS has a sharp performance decline in terms of accuracy indoors due to the complex building structure. A combined algorithm, targeting at received signal strength indication (RSSI) calibration optimisation, depending on deep neural network training via input vector Γ and the target output vector Ψ, termed reference signal optimisation algorithm (RSOA) is proposed to improve the positioning accuracy in the indoor Bluetooth positioning networks. Experimental results show that the relative error of the proposed RSOA between the estimated results and the measured ones can reach as low as 0.2%, and the absolute errors can be reduced to 0.13 m at most within 10 m.

The heating pipe network system with such dynamic characteristics as nonlinearity and large time lag may cause hydraulic disorder. To solve this problem, this paper proposes a unit control-based hydraulic equilibrium control strategy, which constructs an equilibrium regulation system for heating pipe networks by optimising the inlet device of each unit and using a novel control theory. By developing a cascade control system to control the return water temperature and the pressure difference between supply and return water of the branches at each unit of the pipe network, we were able to stabilise the pressure and control the temperature. Then, we used the averaging control theory to set the parameters of regulation systems between each unit. The research results indicate that, compared to the traditional single-loop negative-feedback return water temperature control system, the cascade averaging controller has a better control effect than the single-loop PID controller. This is because it has a smaller overshoot and can cope with system interference factors quickly. Therefore, the temperature of return water between each unit can be coordinated and fluctuation is within a smaller range. This effectively eliminates the influence of static and dynamic hydraulic disorder on entire system stability.

Recently, the method of using graph neural network based on skeletons for action recognition has become more and more popular, due to the fact that a skeleton can carry very intuitive and rich action information, without being affected by background, light and other factors. The spatial–temporal graph convolutional neural network (ST-GCN) is a dynamic skeleton model that automatically learns spatial–temporal model from data, which not only has stronger expression ability, but also has stronger generalisation ability, showing remarkable results on public data sets. However, the ST-GCN network directly learns the information of adjacent nodes (local information), and is insufficient in learning the relations of non-adjacent nodes (global information), such as clapping action that requires learning the related information of non-adjacent nodes. Therefore, this paper proposes an ST-GCN based on node attention (NA-STGCN), so as to solve the problem of insufficient global information in ST-GCN by introducing node attention module to explicitly model the interdependence between global nodes. The experimental results on the NTU-RGB+D set show that the node attention module can effectively improve the accuracy and feature representation ability of the existing algorithms, and obviously improve the recognition effect of the actions that need global information.

Addressing the problem of being easily interfered by false targets such as chaff and corner reflector when selecting missile targets, a multi-feature multi-model target selection method based on the technique for order preference by similarity to ideal solution (TOPSIS) is proposed if only single-target characteristics such as target position or radar cross section (RCS) size is used in the selection of missile targets. The target selection problem under the comprehensive utilisation of multiple features is regarded as a problem in decision-making based on multiple attributes. The BP network based on the target RCS frequency domain statistical features, the radial basis network based on the target polarisation feature and the radial size feature based on high-resolution range profile (HRRP) are realised. The comprehensive utilisation of C-support vector machine (SVM) and other target recognition methods and the comprehensive sorting of target selection, to a certain extent, enable anti-ship missiles to make the correct target selection more accurately. The simulation results display that the effective selection of ship targets can be achieved in the case of passive interference by surface ships.

Under the information asymmetry, we consider the impact of task importance on the income of university managers, introducing the non-linear income function of university managers. Based on the principal-agent theory, we construct a non-linear incentive optimisation model for subject librarians. We discussed how university managers allocate incentive intensity and how the subject librarians allocate the effort level to achieve the best net expected income for university administrators and subject librarians while satisfying the constraints of participation and incentive compatibility. The results show that the optimal incentive contract for subject librarians is related to task importance, ability level, risk aversion characteristics and the randomness of the external environment in university libraries. The relative incentive intensity increases with the increase of task importance, risk aversion, ability level and randomness of information retrieval tasks, and decreases with the increase of randomness of subject service tasks.

In addition to reducing R&D investment and changing senior managers or corporate name, the significant uncertainty and reputation shock brought by civil litigation may also have a vital impact on corporate governance of the sued company. We use A-share listed companies in Shanghai and Shenzhen stock exchanges from 2011 to 2018 to empirically examine the impact of civil litigation on corporate governance and its mechanism. It is found that, civil litigation is negatively correlated with corporate governance, and financing liabilities (FL) play an intermediary role in the negative correlation. Furthermore, judicial local protectionism weakens the negative correlation between civil litigation and corporate governance. Finally we close with directions for future research.

This study aims to explore how the insurance business can combine artificial intelligence (AI), huge data technology and good design under the ecological background of AIoT to improve the efficiency of double-entry in the insurance business and improve the user experience. It is accomplished through observation, user interview and other methods to explore user needs and distress points, comprehensive use of image and video analysis, face recognition, behaviour detection and other AI technologies. aiCore intelligent dual-recording system is proposed, which integrated mobile terminal dual-recording application and backstage quality control system. The proposed system realised the design optimisation of the whole process of intelligent dual-recording scenario combining the three functions ‘front-end intelligent dual-recording, in-process real-time quality control and post-AI quality control.’ Using in-process detection, post-review and manual final audit, the aiCore intelligent dual-recording system has significantly improved the efficiency of dual-recording, quality inspection pass rate and user experience satisfaction.

Based on the financial data for Chinese A-share companies listed in the Shanghai and Shenzhen stock exchanges and the corporate social responsibility (CSR) score data published in the Hexun website^‡from 2010 to 2019, we carried out an empirical study and found that CSR fulfilment helps to restrain debt risk faced by firms, and that product-market competition can promote the inhibitory effect of CSR fulfilment on debt risk. The further study found that CSR fulfilment of monetary capital layer and human capital layer on debt risk will be significantly stronger than that of social capital layer.

With the passage of time, the Inner Harbour of Macao has experienced changes, prosperity and decline. For a long time, the twin problems of flood and transformation of the traditional business district have been the ones primarily responsible for affecting the development of the Inner Harbour. This paper analyses the Inner Harbour region through the form of five layers. Based on these factors, the cultural, economic and ecological characteristics of the Inner Harbour are summarised. The paper mainly studies solutions to the problems of flooding, and presents flood control initiatives that can prevent waterlogging in the Inner Harbour, so as to enhance and activate the old city waterfront.

From the perspective of innovation ecology, the green innovation of core enterprises is a key to high-quality economic development. This paper researches BYD, makes a discussion on the evolution and characteristics of green innovation, and clarifies the driving force of green innovation of core enterprises in the green innovation ecosystem. In addition, the 2002–2019 green patent authorisation data of BYD is selected as the green output indicator of the core enterprise. And through testing the data, the findings are that the perturbation term ε is white noise, which meets the zero expectation E(ε_t) = 0, and the same variance Var(ε_t) = σ² and that there is no autocorrelation Cov(ε_t, ε_s) = 0, t ≠ s. The ARMA model is hence constructed for analysis. Through analysis, conclusions are drawn that when the core enterprises and other entities in the green innovation ecosystem collaborate to innovate, the complexity and dynamics could be found in the green innovation evolution process and that as an important driving force for green innovation, innovation input not only raises current green output but also facilitates future green output.

The paper starts with a theoretical discussion of the possible introduction of aesthetic linguistics into the research field of multimodal critical discourse analysis for analysing tourist news of two modalities: visual and text. Thanks to the successful stories of analysis concerning aesthetic linguistics, systemic functional grammar and visual grammar; first, a framework of multimodal aesthetic critical discourse analysis is carefully redesigned based on multimodal aesthetic critical discourse analysis framework of version 1, originally designed for the same purpose. Then, the validity of the reconstructed framework is verified via analysing a piece of Shannxi tourist news with it. The result indicated that the multimodal aesthetic critical discourse analysis framework re-designed in this paper is of practical significance and can be applied to the analysis of news of multiple modalities.

This paper studies the effect of venture capital (VC) network community structure on the dissemination of information in the medical health field of China. Using theoretical analysis and empirical test, this paper divides the community structure and information dissemination. The structural dimensions of the community have different effect and intensity on information dissemination. The cognitive proximity positively (negatively) affects community structure dimensions on information dissemination. This paper finds that the network community structure has a lag effect on information dissemination, and it finds out the types of network community structure that can promote (hinder) information dissemination. These results can promote the sustainable development of the medical health industry.

The floor plan is a key part of architectural design and has the characteristics of multi-objective evaluation. Traditional methods are often laborious and may lead to re-work due to optimisation, which affects efficiency. Related research uses various algorithms to generate floor plans to improve efficiency. Based on the leading role of architects on floor plans, this paper proposes a generative design method that combines the design process. It takes the space shape as the starting point, simplifies the design process into a mathematical model, and uses Rhino and Grasshopper to complete the algorithm development. Using different algorithm combinations, a large number of new layouts can be explored, and building layouts can be adjusted freely through data optimisation without having to redesign. The design evolution of floor plans of different cases shows that such a generative design method is feasible, reusable, and more efficient than traditional methods.

A method has been proposed for welding penetration status prediction in the paper. First, an experimental system was set up and welding experiments were performed. Some groups of welding images could been obtained. A composite filtering system composed of a neutral light reduction filter and a narrow band filter was developed to filter the weld arc disturbance. Some operations were performed to the images, namely the median filter and gray transformation. Then a neural network was setup, containing three layers. The inner widths of pool x_n, the outer widths of pool x_w, the width difference values e between the inner and outer of pool, ratios of inner pool widths R_n and ratios of outer pool widths R_w between two adjacent images were determined to be the input parameters. The penetration parameter p was chosen to be the output. Based on the images, groups of pool parameter data have been obtained and used to train the network. In this way, the weld penetration prediction model can be deduced. Finally, verification tests have been done. It showed that weld penetration situation predicted by the model is fit to its real condition. The accuracy rate is up to 96%, which affords a new way for penetration detection.

With the rapid development of the e-commerce industry, online reviews of goods are a great help for consumers to make decisions. With the sharp increase in online order for goods and the explosion of product reviews, some merchants began to hire consumers to make fake purchases for profit, which led to the problem of identifying fake reviews. In this paper, we propose a method that uses feature engineering to eliminate the comments of false reviewers and combines convolutional neural network and recurrent neural network to classify and recognise reviews from the perspective of text. Traditional neural network models such as CNN, LSTM and BILSTM are compared with the hybrid model proposed by the text. The model is optimised by pre-training on the Baidu Baike commodity review database instead of the initial randomising word vector. The experimental results show that the combination of convolutional neural network and recurrent neural network can better extract the global and local features of false comments, and the model has a good effect. The updating of the pre-trained word vector makes the recognition effect of each model better.

Based on a Chinese enterprise's single-mouth crusher, the ‘waterfall flow’ inlet crusher is developed from a foreign two-flow crusher. The two-inlet crushing mode has advantages of continuous particle feeding, controlled particle flow and low wear of housing. By analysing the working principle of the equipment, the three-dimensional model of the crusher is established. Based on the discrete element method, the simulation data are obtained by EDEM simulation software. The crushing energy, the wear of the housing and the counter boards are analysed to obtain the optimal parameters. The crushing efficiency is significantly improved and the wear of the housing is controlled to some extent. The overall performance of the crusher is improved and the cost is reduced.

By establishing difference in differences (DID) and propensity score matching-double difference method (PSM-DID) models, the paper investigates the effect of the two pilot policies which promotes the combination of technology and finance based on the enterprise value with the available data from Shanghai and Shenzhen A-share listed companies in China from 2008 to 2019. Empirical results show that the first and second pilots of technological finance cause a significant increase and decrease in the enterprise value, respectively. These conclusions validate the effectiveness of China's technological finance policy from the enterprise value and provide empirical data support for optimising technological finance policies of the government and high-quality development of enterprises in the new era.

The idea that reform drives innovation and entrepreneurship, and innovation and entrepreneurship drive development, has gradually become the main theme of the new era of Chinese society. As the ‘cradle’ of knowledge and technology innovation and the training and output of innovative talents, colleges and universities are the inevitable choices of the times to conform to the social trend and change to the development model of ‘entrepreneurial universities’. This article takes the reform of the development model of universities in Heilongjiang Province as the research object, and it qualitatively explores the status quo of the reform and development of universities in Heilongjiang Province to entrepreneurial universities, with the aid of the Loet Leydesdorff triple helix algorithm, based on the Web of Science database and national intellectual property ‘patent search and analysis’. The platform conducts data mining, conducts quantitative measurement research on the collaboration relationship between government, industry, university and research, and focuses on Heilongjiang Province for horizontal and vertical empirical analyses. The study proposes suggestions for improvement from the three dimensions of condensing the collaborative awareness of innovation subjects, reforming the development model of scientific research institutions, and improving the efficiency of the absorption and transformation of enterprise scientific and technological achievements. It has certain practical guidance for strengthening the mutual information coordination and structural stability of the government, industry, university and research under the collaborative innovation ecosystem.

To revise the Chinese version of Planned Happenstance Career Inventory (PHCI), a total of 1161 college students were recruited in the study, among whom 327 were used for item analysis and exploratory factor analysis (EFA), 568 for further confirmatory factor analysis (CFA) and internal consistency reliability analysis, and 266 were retested after a four-week interval for test-retest reliability analysis. Occupational Development Contingency Scale (ODCS), CAAS-China were chosen as the criterion-related indication. The scale consisted of 20 items, and the EFA produced five factors, which accumulatively explained the variance of total variance by 58.15%. The CFA showed that the 5-factor model fits well. The internal consistency reliability of sample measurement was 0.862, retest reliability coefficients was 0.871, and the split-half reliability coefficients was 0.733. The Chinese version of PHCI has acceptable reliability and validity and can be used to measure career planning for Chinese college students.

To study the command and control system in an island air defence system under the background of systemic conflict, this paper proposes a new modelling method based on the opinion dynamics leader-follower model to simulate the target threat assessment process in the command and control activities. Through example simulation, it is obtained that in a centralised command and control system, a command post (CP)-led model can provide the most accurate threat assessment results, but it consumes a longer time. While in a distributed command and control system, a model without a leader can provide a target threat value accurately and quickly. The consistency of simulation results and actual situation indicates that, at present, under a high degree of battlefield information sharing, it is necessary to down-pass the authority of the CP to improve operational efficiency. In summary, the proposed model can comprehensively reflect the process that the island air defence system assesses the threat of an attacking target, and it gives a new idea for investigating the command and control procedure and system of the island air defence system.

The old district of Guangzhou was taken as an example to explore new approaches – the perspective of space syntax – to study the urban structure based on the Geographic Information Centre (GIS) space statistics. Results show that the old district of Guangzhou has significant spatial heterogeneity; the historic regions, as the urban core, have a deep effect on the city and own a ‘double interface’ for both the visitors and indigenous inhabitants. Unique space logic has been formed in the long history of the city, but the grid structure of the old district is unbalanced and incomplete, and some regions have problems in accessibility. Given this, the paper, based on the distribution of the historical buildings, proposed to create contextual urban axes, optimise the public service and improve the space structure, to provide a reference to the preservation and utilisation of historic buildings.

This paper succinctly describes and then illustrates the species Paris polyphylla Smith var. nullopetalina J. L. Liu et Y. Yuan, which is a new variety of Trilliaceae found in Sichuan Province in Southwestern China. It is closely related to Paris polyphylla Smith var. panxiensis J. L. Liu, Paris polyphylla Smith var. stenophylla Franch and Paris polyphylla Smith var. minora S. F. Wang. The distinguishing features that can be used to identify this variety are as follows: the leaf blade is narrowly long, fasciate and crisped-margined, but differs in having leaves that are sessile, with petals absent, ovary tetragonal, and stigma erect and never curved.

This paper aims to eradicate the poor performance of the convolutional neural network (CNN) for intelligent analysis and detection in samples. Moreover, to avoid overfitting of the CNN model during the training process, an algorithm is proposed for the fusion of maximum pooled and weight decay. Firstly, the maximum pooled method for the pooling layer is explored after mask processing to reduce the number of irrelevant neurons. Secondly, when updating the neuron weight parameters, the weight decay is introduced to further cut down complexity in model training. The experimental comparison shows that the overfitting avoidance algorithm can reduce the detection error rate by more than 10% in image detection than other methods, and it has better generalisation.

With globalization and the rapid evolution of internet, the channels of music communication have become diversified. The communication speed of online music has become faster, and the music-related information is enriched on the internet. However, these positive effects on music communication also increase the complexity of music copyright issues. In face of the great challenges on music copyright issues, this paper takes the online original music works trading platform, namely music trading network as the research object, and uses some mathematical methods, such as statistical theory, power function law and long tail theory, to discuss the copyright protection of the music trading network. Our motivation is to find a way to protect the copyright of original music product so as to stimulate the enthusiasm of musicians, as well as to help find a way to create a healthy original music ecosystem.

In view of the fragile ecological health of the Futian mangrove wetland ecosystem, an index system for evaluating ecosystem health of the Futian mangrove wetland was established based on the ‘pressure-state-response’ (PSR) model. The ecosystem health evaluation of the Futian mangrove wetland was carried out based on three aspects: pressure subsystem, state subsystem and response subsystem. Analytical hierarchy process (AHP) was used to determine the index weight. The index system is established and evaluated by the comprehensive index method. The results showed that the ecosystem health index of the Futian mangrove wetland was 0.25262. According to ecosystem health assessment criteria, it falls into the ‘poor’ range. Based on our assessment, we consider that the structure and function of the Futian mangrove wetland ecosystem are degraded, that there has been a decline in biodiversity and that the prevailing environmental problems are serious. The results of this study can provide an effective scientific basis for the management of the Futian mangrove wetland ecosystem.

From the perspective of social e-commerce, this paper discusses the influencing factors and mechanism of purchase intention of agricultural products. Based on the stimulus–organism–response model, this paper constructs the relationship model of agricultural product characteristics, social trust, social stickiness, social support, social interaction, consumer perceived value and consumer purchase intention; the related hypotheses are found, and the hypothesis and the structural model are verified by analysing the data. The results show that the characteristics of agricultural products, social stickiness, social support, social interaction and consumer perceived value are the key factors that influence the purchase intention of agricultural products. Perceived value is the intermediary mechanism of social stickiness, social support, social interaction and purchase intention.

Over the past few years, green small towns have gained a lot of attention, which is a significant trend in the construction industry. Beginning with the life cycle of green small towns, this paper analyses their incremental cost and income using mathematical quantitative models, which can serve as a reference for further evaluating the incremental cost and benefits of green small towns, and proposes countermeasures and suggestions to encourage the green small town growth.

In the process of urbanisation in China, many cities expect to promote the development of new towns through the construction of sports centres. However, due to the unreasonable design of the scale, accessibility and vitality of the sports centre, the catalyst effect of the sports centre is difficult to play an effective role. Using cluster analysis algorithm and spatial syntax, this study analyses the algorithm of sports centres with sustainable development characteristics, and puts forward the conclusions of sustainable development planning strategies such as venue merger design under the principle of intensive, maintaining high accessibility of sports centres, ensuring the compound function of surrounding plots and grid space to improve regional vitality, in order to provide some inspiration for the planning and construction of Sports Centre in the future.

The fraction of hydrogen (H₂) in the blast furnace (BF) shaft gas containing a notable portion of nitrogen (N₂) is expected to increase. For more efficient control of the BF, it is therefore desirable to conduct more rigorous studies on gaseous reduction of iron ores especially in H₂-N₂ atmosphere. In this paper, an unreacted shrinking core model (USCM) with multicomponent gas diffusion for iron ore reduction in H₂-N₂ atmosphere is developed. The resultant nonlinear equations are solved using the 4th order Runge-Kutta method. The present model and the original USCM are compared based on a series of pertinent experimental data.

This paper uses the A-share data of listed companies listed on the Shanghai and Shenzhen stock exchanges from 2012 to 2016 and uses the Xtlogit model to test the relationship between managers’ overconfidence and M&A (mergers and acquisitions) decisions, and also to test the relationship between directors’ vigilance and managers’ overconfidence and M&A decisions, and the corresponding robustness test was carried out using the Xtprobit model. The study found that managers’ overconfidence can significantly promote M&A, and board vigilance can significantly moderate the relationship between managers’ overconfidence and M&A decision-making, and can inhibit M&A caused by managers’ overconfidence.

Taking A-share listed companies in the petroleum industry as the research object, this paper empirically studies the relationship among the characteristics of industry-university-research (IUR) cooperation network, social capital, and innovation performance in the petroleum companies. The empirical research results show that the strength and centrality of the IUR cooperation network in the petroleum industry positively affect social capital and innovation performance; Network scale has no significant positive impact on social capital and innovation performance; Social capital plays a partially mediating role in the influence of characteristics of IUR cooperation network on innovation performance. According to the research findings, some strategies to improve the innovation performance of petroleum companies are proposed, which include occupying the center of the IUR cooperation network, high-frequency interaction with the objects of the IUR cooperation network, and expansion of the IUR cooperation network should match its own growth stage.

VOCs are the main source of indoor environmental pollution. Bodalal established a mathematical model of VOCs emission characteristics, which provided a reference for many scholars to study the diffusion of VOCs. However, there are some logical errors in the process of mathematical derivation, which make the model difficult to understand. In the paper, first, the reasons for the error of model derivation are pointed out in detail. Second, using Laplace–Carson transform and generalised Heaviside theorem, the correct derivation process is given. Finally, a simple method for calculating the diffusion coefficient is presented and its application is given. This paper provides convenience for people to use this model in related research.

This paper summarises the concepts of the Internet of things and its examples of application in libraries throughout the world. Given the existing university library digital infrastructure, a development path for our national university intelligent libraries based on the Internet of things was studied in detail from three aspects. We hope more university libraries will move towards true university intelligent libraries.

Innovative learning ability is the core competitiveness of university students, the essential ability of university students to solve problems and a fundamental quality that can be universally applied by university students in both theoretical and practical spheres. This paper analyses the necessity of innovative learning ability cultivation for engineering students in applied universities, and introduces constructivist learning theory into curriculum teaching. The logistic function is improved as 1/(1 + e^−αk_i), and the value α varies with the number of iterations. Data are obtained through questionnaires; data analysis techniques are used to analyse the factors affecting the cultivation of creative ability in terms of the elaborate teaching processes, creative training courses, emphasis on social practice innovation, promotion of knowledge construction, creation of academic atmosphere and encouragement of questioning authority; and positive coping strategies are given.

Embedded devices often face security risks such as device loss, cracking, key disclosure and side-channel attacks. Owing to the relative meagreness characterising the availability of computing as well as storage resources, it might be said that embedded devices themselves have limited resources, and traditional key management solutions are thus not fully suitable for embedded device usage scenarios. In addition, embedded device key management also necessitates consideration of the dynamic changes of devices, such as device joining and withdrawal, and blacklist management and control. A lightweight key management scheme is proposed for multi-layer embedded devices, and the management and control problems of the device blacklist library are analysed and an optimisation scheme is proposed. Finally, the scheme of this paper is analysed in detail based on the aspects of security and resource overhead. Compared with the traditional key management scheme, the scheme designed in this paper can be better applied to the communication of embedded devices to meet the security requirements of embedded systems.

A measurement method and system based on conventional radars has been proposed to address the problem of radar cross-section (RCS) measurement of ship targets in open seas. Calibration errors for RCS measurement on ground plane range (GPR) are analysed, and the error elimination method and accurate RCS calculation formula are given. An RCS measurement system is designed by improving conventional radars. These systems measure two Luneburg lens reflectors of different sizes on the lake. The average RCS of the big Luneburg lens reflector is obtained, and the error is calculated to be 2.73% compared with its actual value, which verifies the rationality of the proposed measurement method and system. The system measures the RCS of a ship in the open sea and obtains its circumferential RCS distribution. The effect of the error in the ship's position calculation on the RCS measurement results is analysed, and the uncertainty range of the error is obtained.

Based on the financing motivation of equity pledges, this study explores whether and how monetary policy adjustment affects the stock pledge behaviour of listed companies. The empirical findings show that monetary policy adjustments significantly affect the stock pledge of listed companies; that is, a tightening monetary policy increases the stock pledge phenomenon of listed companies, and an expansionary monetary policy reduces the stock pledge phenomenon. Heterogeneity analysis revealed that monetary policy had a greater impact on the stock pledges of non-state-owned enterprises, enterprises with weak government–enterprise relationships and enterprises without bank–enterprise relationship. The results of mechanism tests suggested that a quantitative monetary policy only affects the stock pledge behaviour of listed companies through financing costs and that a price-based monetary policy affects the stock pledge behaviour of listed companies through financing costs and financing scale. This article expands the literature on the impact of monetary policies on equity pledges and enriches studies on macroeconomic policies and microfirm behaviour.

Historic buildings carry the history of human civilisation, and their conservation and utilisation are widely valued by countries around the world. At present, the lack of qualitative and quantitative assessment and evaluation methods for the preservation status and attachment value of historic buildings poses a challenge to the smooth implementation of the conservation and utilisation of historic buildings. The development of a set of system standards for the assessment and evaluation of historic buildings is an urgent task for the conservation and utilisation of historic buildings. This paper proposes a set of comprehensive mapping assessment and evaluation system for historical buildings through the analysis and sorting out of the current situation of preserving historical buildings and their development lineage, architectural style, building type, society and art. Finally, based on the above mapping evaluation system, 20 historical buildings are graded according to the requirements of historical building classification, and according to the different levels. Corresponding conservation measures are proposed and different planning schemes are formulated to better utilise the historical, scientific, cultural and economic values of historical buildings.

Based on the first-principles calculation method of density functional theory (DFT), the crystal structure, band structure, magnetic moment, density of state, elastic constant and population analysis of Fe₈₀Si₁₀Nb₆B₂Cu₂ are calculated. The calculation results show that the Fe-based nanocrystalline alloy of this composition has a stable structure, strong resistance to deformation, high hardness and is an alloy with good flexibility. The energy band structure of spin-up and spin-down is basically the same, and the energy gap is 0 eV, showing metallicity. The asymmetry of the electronic state density between the spin-up and spin-down states indicates that the alloy is ferromagnetic, with a magnetic moment of 84.15 μ; the Fe element plays a decisive role in the magnetic properties of this alloy.

As a densely populated place, the occurrence of accidents on campus causes serious concerns, while the construction of an intelligent and safe campus is also one of the hotly debated topics. Starting from the perspective of the development process of security events, this paper comprehensively perfects each stage and applies reasonable methods, hoping to reduce the cost of human and material resources in campus security. First, the abnormal behaviour data set and the identification model based on time and space fusion are constructed to identify the abnormal behaviours on campus. Further on, through the agent reward function construction and state transfer function solution and algorithm research, the multi-intelligent-agent tracking and cooperation based on the game idea are realised to provide efficient real-time security alarm and decision suggestion. Finally, the safety resource path planning platform is designed, and the simulation analysis is conducted combined with the traffic network of New Normal University. The results turn out to identify the abnormal behaviour, work out the optimal decision as well as figure out the optimal path of security resources planning and verify the effectiveness of the mathematical model in a simulation manner.