bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trajectory tracking control of remotely operated vehicle based on thruster dynamics
Authors: Zhou Huadong 
Published: April 2023

Abstract
In order to reduce the impact of thruster dead zone on remotely operated vehicle (ROV) motion performance and ensure that it can complete trajectory tracking control under external interference. In this paper, the adaptive backstepping sliding mode control(ABSMC) method based on improved rapid power-to-power approximation law is proposed. Under the influence of external interference; ABSMC can quickly reduce the position error of the system, namely, shorten the approaching time. When the position error is small, the system can smoothly enter the sliding surface to eliminate chattering. A new thrust distribution method based on the pseudo-inverse method is proposed for the dead zone of a thruster. This method uses the pseudo-inverse method when the thrust is saturated. When all thruster thrusts are unsaturated, the thrust will remain outside the dead zone for a long time. Combined with the ABSMC method, the thrust output of the thruster is more smooth and more stable with small position errors. Finally, the effectiveness of the ABSMC method and the superiority of the new thrust distribution method is verified by simulation experiments.
Statistical Model of College Students’ Mental Health Based on the Law of Large Numbers
Authors: Lan Weibin , Chang Jingying 
Published: April 2023

Abstract
This paper constructs a mental health probability space based on the law of large numbers. First, this paper defines and predicts the transition of personal emotion and the transmission of emotion. This study treats emotion as two random stages. At the same time, according to the initial parameters of each different stage model, a psychological model with individual characteristics based on the Markov chain is established. It can predict the outcome of emotional activities emotionally. Finally, numerical simulation is carried out with Matlab. The results show that the prediction method can well reflect the emotional state transmission. It can be used in psychological prediction simulations of individuals. The mental health statistical model based on the law of large numbers established in this paper opens up a new way for individual psychological counseling and mental health training.
Garden Landscape Construction Based on Landscape Urbanism and Dynamic Nonlinear System Thinking
Authors: Yu Wenlong , Shen Suqiao 
Published: April 2023

Abstract
This paper uses nonlinear dynamic system thinking to evaluate the ecological environment of landscaping. In this paper, the mathematical models of landscape dimension, fragmentation index, diversity index, and aggregation index are constructed using an artificial neural network combined with a fuzzy C-means (FCM) clustering nonlinear thinking system. In the end, this paper plans and evaluates the ecological environment of S city. Through the analysis of the model, it is verified that the nonlinear artificial neural network system combined with fuzzy C-means (FCM) clustering proposed in this paper is an effective method for forest landscape planning and evaluation. The scope and feasibility of this method are high.
Dynamic Optimization of Robot Automatic Control System Based on Differential Algebraic Equations
Authors: Wang Shulei , Lu Shiting 
Published: April 2023

Abstract
In order to understand the different performances of robots under different control systems, the author has carried out dynamic optimization research on the control system of robots combined with differential algebraic equations. In this study, the general form of the discrete differential-algebraic equation (DAE) optimization problem using the Orthogonal Configuration of Finite Element (OCFE) method is deeply analyzed, and the equivalent conditions of the direct discrete scheme and the indirect discrete scheme are obtained through rigorous proof. On this basis, a variety of common configuration methods are simulated and analyzed, and it is found that indirect Lobatto configuration can achieve better results in many aspects. The results show that the discrete algorithm using differential algebraic equations can effectively achieve dynamic optimization of the control system, thus achieving the author’s research purpose.
Formation mechanism of financial vulnerability in rural China based on Markov model and countermeasures
Authors: Cheng Kangkang 
Published: April 2023

Abstract
As an important part of the national economy, finance plays a leading role in the configuration of the daily production life of urban and rural enterprises and residents. In order to promote the further development of China’s rural economy, deepen rural financial reform, and seek the formation mechanism and countermeasures of China’s rural financial vulnerability, this paper proposes a research method based on Markov model for analyzing the formation mechanism and countermeasures of China’s rural financial vulnerability. The results of the study show that the method effectively reveals an overall decreasing trend of rural financial vulnerability in China in recent years. In response, more reasonable rural financial institutions should be established to optimize the rural industrial structure and improve the ability to prevent rural financial risks, while conducting dynamic organizational management to ensure that the organizational structure and organizational management of rural finance must be compatible with the coordinated development of the rural economy and finance.
Deep learning-based foreign object detection method for aviation runways
Authors: Wang Zhe 
Published: April 2023

Abstract
Airport runway foreign object detection systems can quickly and accurately detect and identify foreign runway objects, which is significant for ensuring airport flight safety. Because of the drawbacks shown by the algorithm, the paper proposes to combine a new system scheme based on deep learning to obtain multiple feature information for identifying foreign objects on airport runways and improve the recognition accuracy of foreign object detection. This paper designs and constructs a dataset for accomplishing airport runway foreign object detection based on the data distribution and attribute semantics of actual airport runway foreign object scenarios and the technical features of deep learning, designs FOD detection and multi-attribute recognition networks, further design algorithms, and perform validation. The results show that the deep learning technology can accomplish all tasks of the airport runway foreign object detection system, which has not only good robustness to different environments but also has practical value for multi-tasking, and the localization task can accurately obtain the location information of foreign objects and improve the recognition accuracy of foreign object detection. Therefore, the deep learning-based airport runway foreign object recognition system designed in this paper is effective and can improve the accuracy of foreign object recognition.
The Evaluation Model of College Students’ Mental Health Under the Fractional Differential Equation
Authors: Zhang Linjun 
Published: April 2023

Abstract
This paper uses fractional differential equations to evaluate the mental health of college students. The author first proposes different emotional possibility spaces, such as emotional energy, emotional intensity, and emotional entropy. Secondly, this paper uses Markov chains, fractional differential equations, and other methods to construct emotional models. Its function is a description of psychological characteristics and psychological conditions. Finally, numerical simulations are used to apply the proposed model. This model can well reflect the autonomous transmission of human emotions. This model can provide a new method for establishing the mathematical model of the mental intelligence evaluation system and the mental decision-making system.
Application of grey correlation degree algorithm in the evaluation system of college students’ innovation and entrepreneurship in applied undergraduate institutions
Authors: Zhang Fangfang , Wang Kunfan 
Published: April 2023

Abstract
Innovation and entrepreneurship is the theme of today’s era and are powerful engine to promote a new round of high-quality development of the national economy. The level of entrepreneurial education has become a key indicator for evaluating the level of operation of applied undergraduate institutions and the quality of comprehensive education. This paper focuses on applying the gray correlation algorithm in the evaluation system of college students’ entrepreneurial activities based on innovation in applied undergraduate institutions. Firstly, we understand the development process and principle of the gray correlation algorithm, establish the gray correlation algorithm model, collect the index data of many applied undergraduate institutions(primary index: 5, secondary index: 21) and analyze them. The analysis shows that the correlation degree of the quality of education in the subject of college students in 8 universities is E (0.3178) > G (0.240) > F (0.1409) > H (0.04412) > D (0.0398) > B (0.390) > C (0.0389) > A (0.0263), and the analysis results are helpful for us to grasp the main contradiction of the problem and improve the quality of education in the subject. The main contradiction of the problem, improve students’ entrepreneurial ability based on innovation and contribute to the improvement of Chinese international economic status.
Ancient Building Surveying and Mapping Modeling Protection System Based on Lagrangian Mathematical Equation
Authors: Ren Junlong 
Published: April 2023

Abstract
The primary data model of the current point cloud is still the organization of discrete points. Point clouds and patterns are independent of each other. Firstly, this paper establishes the data structure of multi-layer integrated ancient buildings based on the point cloud model. The purpose is to adapt to ancient buildings’ laser point cloud processing technology. Then this paper uses Lagrangian mathematics to model the point cloud pattern. Finally, the paper verifies that the cartographic model of ancient buildings established by the Lagrangian formula is smooth and accurate. The model can express detailed information about ancient buildings.
Quantitative Analysis of the Influence of Coal Mining on the Underflow Zone of Rivers by Using Double Integro-differential Equations
Authors: Wan Yuan , Zhang Chen , Wang Jing , Cai Yuntao , Fu Jia , Guo Qing , Sun Yuxin , Zhou Ning , Hu Anqi 
Published: April 2023

Abstract
The global ecological environment is fragile, and large-scale coal mining has accelerated the loss of water resources, but it is difficult to quantify its impact. Studies have found that large-scale coal mining has a particularly large impact on the underflow zone of rivers, but blind mining affects environmental damage and loses the water volume of the river. The lack of a compensation mechanism for water damage caused by coal mining often exacerbates the province’s fragile water environment. This paper analyzes the prediction of the impact of coal mining on the underflow zone of the river. First of all, determine the mining area of the mine and collect and collect data. Then, the lost water volume was calculated as a predicted score using the double integro-differential equation. Finally, the GA-BiLSTM model is proposed to predict the lost water capacity. The experimental results show that the mean absolute error (MAE), root mean square (RMSE), and prediction pass rate are 11.78/%, 24.87/%, and 92/%, respectively, and the average relative error is only 9.98%. Compared with BP, SVM, LSTM, Bi-LSTM neural network model has better prediction accuracy. The experimental results also show that the model has good reliability and practicability, which can provide a new idea and method for the new analysis of the impact of coal mining on the underflow zone of the river.
Cost management of power grid transmission and substation project based on BIM technology
Authors: Wang Songsong , Qiao Wenxuan , Wang Lei , Shen Zhewei , Yang Pengju , Bian Li 
Published: April 2023

Abstract
With the rapid development of China’s electric power industry, the cost management of electric power projects, which is closely related to the power grid transmission and substation projects, has become more and more important. Do a good investment feasibility analysis of power projects. Optimize power engineering design. Reasonable determination of power project cost and effective control of power project cost are the main problems to be solved by the project cost management of power grid transmission and transformation projects. In this paper, DCN-BIM model is established based on DCN algorithm as the theory. A detailed calculation and analysis of the influencing factors and stage share of the cost management of power grid transmission and substation projects is carried out. Through calculation, it can be seen that the share of power products in the project cost is about 15.43% due to their special characteristics. The lowest cost share in the project cost is the project tender. Its share is only 10.03%. The highest cost share is for equipment materials. Its cost share is as high as 51.34%. The design phase accounted for 23% of the cost. The lowest cost share in the bidding phase was only 21%.
Design and research of environmentally friendly field sewage purification mechanical device
Authors: Zhang Lirong , Zhang Wei , Zhang Huifang , Yang Guijuan 
Published: April 2023

Abstract
The shortage of water resources has become a serious constraint to the sustainable development of the country’s economy and society. The environmentally friendly field sewage purification device is one of the effective ways to reduce water pollution and solve the water shortage problem. In this paper, the RBF-purification model is used as a calculation tool to study the economic feasibility of the environmentally friendly field sewage purification machinery and its equipment maintenance. The calculation results show that the distance benefit of field sewage purification is 13%. The benefit share of comprehensive economic benefit is the highest, 41%. The share of environmental benefits is 39%. The professionalism of the equipment users has the highest percentage of the problems that need to be maintained in the field wastewater purification equipment, at 54%. The percentage of equipment operation and management was 27%. The smallest percentage is for equipment maintenance with 19%.
Adaptive fusion of multi-exposure images based on perceptron model
Authors: Mei Jianqiang , Chen Wanyan , Li Biyuan , Li Shixin , Zhang Jun , Yan Jun 
Published: April 2023

Abstract
Multi-exposure image fusion as a technical means to bridge the dynamic range gap between real scenes and image acquisition devices, which makes the fused images better quality and more realistic and vivid simulation of real scenes, has been widely concerned by scholars from various countries. In order to improve the adaptive fusion effect of multi-exposure images, this paper proposes a fusion algorithm based on multilayer perceptron (MLP) based on the perceptron model and verifies the feasibility of the algorithm by the peak signal-to-noise ratio (PSNR), correlation coefficient (PCC), structural similarity (SSMI) and HDR-VDR-2, an evaluation index of HDR image quality. Comparison with other algorithms revealed that the average PSNR of the MLP algorithm improved by 4.43% over the Ma algorithm, 7.88% over the Vanmail algorithm, 10.30% over the FMMR algorithm, 11.19% over the PMF algorithm, and 11.19% over the PMF algorithm. For PCC, the MLP algorithm improves by 20.14%, 17.46%, 2.31%, 11.24%, and 15.36% over the other algorithms in that order. For SSMI, the MLP algorithm improved by 16.99%, 8.96%, 17.17%, 14.41%, and 4.85% over the other algorithms, in that order. For HDR-VDR-2, the MLP algorithm improved by 3.02%, 2.79%, 6.84%, 4.90%, and 6.55% over the other algorithms, in that order. The results show that the MLP algorithm can avoid image artifacts while retaining more details. The MLP-based adaptive fusion method is a step further in the theoretical study of multi-exposure image fusion, which is of great significance for subsequent research and practical application by related technology vendors.
Research on the value of modern vernacular literature in contemporary rural construction based on ADDIE model
Authors: Niu Yonghua , Li Nan 
Published: April 2023

Abstract
In order to promote the development of rural construction and optimize the resources of modern vernacular literature, this paper proposes a video teaching resource platform of modern vernacular literature based on the construction of the ADDIE model to analyze the value orientation of modern vernacular literature in contemporary rural construction. Through the ADDIE model structure, the evaluation indexes are divided into target layer A, criterion layer Bn, and sub-criterion layer Cn, and the teaching scoring weights are calculated so as to construct an effective teaching system of modern vernacular literature. The consistency principle of the teaching system is applied to calculate the mutual inverse judgment matrix, and the interval weighting algorithm is used to make the differences between the ranking vectors continuous and, thus, to comprehensively judge the value research orientation of contemporary rural construction. In order to verify the feasibility of the teaching resource platform of modern vernacular literature video built based on the ADDIE model, the teaching practice effect test is conducted on it. The experiment proves: In the significance test, the average score of post-test in village B is 85.9, which is 24.5 points higher than the average score of 61.4 in the pre-test. And the test of equality of variance Sig=0.945>0.05, significance (two-tailed) P=0.004<0.05. It indicates that modern vernacular literature has a stable guiding effect on the construction of contemporary villages and is conducive to the promotion of rural economic development.
Design of a mechanical automatic transmission system for automobiles based on torsional vibration damping
Authors: Liu Xing 
Published: April 2023

Abstract
In order to reduce the vibration damage of the engine and improve the automatic transmission adjustment performance of the automobile, an automatic transmission system based on torsional damping is constructed in this paper to optimize the hardware function of the shift speed. The torsional damper is used as the core control element to reciprocate the automotive mechanical automatic transmission system, and the calculation method of torsional vibration analysis of the crankshaft shaft system is used to determine the indexes of rotational inertia, stiffness, and damping parameters of torsional vibration. The damping coefficient values are set near the equilibrium point, and the loss factor of the automatic transmission system is signal processed to obtain the best damping effect. Using the intrinsic frequency as the central processing unit of the automatic transmission system, the differential equation is used to calculate the excitation torque vector of each cylinder of the engine, and the characteristic module of the automatic transmission system is developed. The tests showed that the cylinder burst pressure of the automatic transmission system with the torsional damper reached a maximum of 67.9 pressure at 4800 amp. The crankshaft front-end torsional angle of the 4th-order main harmonic excitation reached a maximum of 0.57 degrees, which exceeded the engineering allowance of 0.2 degrees and reduced the automatic shift shock by about 28.36%. It indicates that the torsional damper can improve the control performance of the automatic transmission system, which is conducive to enhancing the stability and self-adaptive capability of the transmission adjustment.
A multidimensional interpretation of Marxist theory based on a decentralized Internet perspective
Authors: Li Nan , Niu Yonghua 
Published: April 2023

Abstract
Constantly promoting theoretical innovation is the key to the perpetual vitality and vigor of Marxism. Marxist theory interpretation can provide new perspectives, new assertions, and new requirements for adhering to the basic principles of Marxism in line with the requirements of the times, national characteristics, and practical needs, and is the main basis for the formation, development, and renewal of the theoretical paradigm. Therefore, Spring+SpringMVC+Mybatis is used as the back-end development framework of the decentralized Internet to establish the decentralized Internet model used for interpreting Marxist theories. It is realized through the stages of theoretical semantic representation, multi-dimensional feature extraction, and classification. According to the multidimensional interpretation effect, the classification recall of the theoretical interpretation dimensions obtained after using the decentralized Internet model increases from 59.15%, 58.84%, 61.21%, 62.79% to 69.49%, 72.03%, 71.87%, 72.9%, and the average running speed of 9.21s decreases significantly to 3.84s. Portability, accessibility, interpretation completeness and contextual integration, depth of understanding indexes of ranking, accessibility, interpretive completeness, and contextual integration, depth of understanding, interpretive adequacy, and six-theory coverage reached 89.26%, 91.45%, 90.75%, 92.84%, 93.23%, 96.29%, and 99.12%. It shows that the decentralized Internet interpretation method of Marxist theory can grasp the scientific connotation and inner mechanism of theoretical development, trace the origin from ideas and perspectives related to the concept and summarize and interpret the background, reality, gist, content structure, and its contemporary significance under the new era discourse, so as to better implement and practice Marxist theory.
The cardiovascular promotion of college taekwondo based on fractional differential equation
Authors: Li Lei 
Published: April 2023

Abstract
The application of fractional partial differential equations (FPDEs) in college taekwondo has attracted more and more attention. Different FPDEs models have been applied to more and more fields, including: Materials, mechanics, and biological systems, and found that FPDEs have more advantages than integer order equation models in studying some materials with memory processes, genetic properties, and heterogeneous materials. The progress of FPDEs in university taekwondo has aroused people's interest in studying numerical algorithms. At present, the management of cardiovascular disease is mainly focused on rescue, drug treatment and revascularization at the onset of the disease, while less attention is paid to the prevention and prognosis management after treatment, leading to the increase of repeated diseases, readmission rate and mortality of patients. With the upsurge of heart rehabilitation dominated by exercise prescriptions, scientific aerobic exercise has gained more and more benefits. After 24 weeks of taekwondo intervention training, the author found that taekwondo exercise had a positive impact on its heart rate variability parameters (mean heart rate, RMSSD, LFnorm, HFnorm, HF), suggesting that taekwondo exercise may improve myocardial blood supply by regulating autonomic nerves. In addition, the Mate analysis of the effect of heart rehabilitation based on taekwondo on patients with coronary heart disease shows that taekwondo has a significant role in improving the aerobic endurance and mental health of patients with coronary heart disease.