Abstract Laser welding technology has become one of the most commonly used high-precision welding methods in the field of modern industrial manufacturing, but there are deviations in the laser welding process, such as uneven weld seams and positional shifts, etc., which will directly affect the quality and performance of the welded joints. Therefore, accurately identifying and timely correcting these laser welding deviations is crucial to ensure welding quality and improve productivity. The aim of this study is to realize the intelligent identification of laser welding deviations based on an improved neural network approach.

Abstract The combination of smart home technology and artificial intelligence has brought great convenience and comfort to people’s lives. The purpose of this thesis is to study the practice and prospect of artificial intelligence in smart home technology. Through the introduction of the smart home technology and the basic knowledge of artificial intelligence algorithm, the paper discusses the specific application practice of artificial intelligence in smart home, including speech recognition, automatic control, security monitoring and energy management. At the same time, this paper also analyzes the prospects and challenges of artificial intelligence in smart home technology, including trend development, data privacy and user experience. By studying successful cases and commercial applications, it demonstrates the potential and commercial value of artificial intelligence in the field of smart home. Finally, the paper summarizes the research results, and looks forward to the future development potential of artificial intelligence in smart home technology. This study provides useful theoretical guidance and practical suggestions for promoting the development of smart home technology.

Abstract In the context of the wide application of big data, cloud computing, Internet of Things and other advanced technologies, the design and research of data processing performance and graphical analysis platform based on Python programming language has become a new di_x005frection and new goal for the innovative research and development of data analysis platform. In order to enrich the relevant research theories and put forward new ideas and paths for the design and development of graphical analysis platforms, this paper is based on the data processing of Python, and adopts the methods of reverse analysis and subjective assessment to explore the design and development of a new type of graphical analysis platforms with the core of the Python web crawler technology, with a view to providing a basis for the data processing and graphical analysis platforms to quickly analyze and process the relevant data and information and designing and developing a new graphical analysis platform with a visualization and analysis system. Provide the basis for the design and development of a new type of data processing and graphical analysis platform with visual display performance, intuitive and efficient presentation of the pattern of change and trend of data, to provide a reference basis for related research.

Abstract The battery pack of a pure electric vehicle is composed of multiple battery cells connected in series and parallel, and in the process of battery charging and discharging and long-term use, it will cause an imbalance between the battery cells or battery packs, which affects the capacity utilization and service life of the battery. This paper analyzes the electric vehicle lithium-ion battery pack as a study of equalization control, and analyzes the equalization variables used for the battery pack, the battery model, the external characteristics of the battery, and the SOC estimation based on the extended Kalman filter algorithm. The SOC is used as the equalization variable, so that all the battery cells are basically at the same charging and discharging depth, which makes full use of the power of the battery pack, and improves the safety performance of the battery pack when it is working, and an equalization control simulation model is constructed in Matlab/Simulink software, and the equalization method and the system of this paper for the battery cluster are simulated and researched.

Abstract This paper presents an optimized design for laundry cleaning, utilizing linear programming and Python and SPSS software programming. It aims to achieve cost-effective and good cleaning effects under different conditions. The core challenge addressed in this paper is balancing cost-effectiveness and cleaning effectiveness. First, a mathematical model is developed to describe dirt solubilization in water and the relationship between wash frequency and water consumption. Second, a cost-effective cleaning scheme is identified, considering water rates and other factors. Additionally, factors such as clothing types and quantities, dirt types, detergent types, and the constraint of mixing certain clothing items during washing are taken into account. By solving the laundry cleaning mathematical problems using an optimization model in mathematical modeling, factor analysis is conducted considering various factors including a given amount of dirt, water, dirt solubility in water (function), wash frequency, water consumption per wash, dirt type, detergent type, detergent solubility in dirt, detergent unit price, water rates, and the constraint of certain clothing items not being able to be washed together. The goal is to achieve a lower-cost laundry cleaning solution that is both effective and tidy.

Abstract Automatic Machine Learning (AutoML) refers to the use of machine learning techniques to automate the entire process of machine learning, including data preprocessing, feature selection, model selection, and hyperparameter optimization. As a structured method for representing and storing knowledge, knowledge graphs have broad application prospects in automatic machine learning. By fully utilizing the information in the knowledge graph, the intelligence and decision-making ability of automatic machine learning systems can be strengthened, promoting the development and application of machine learning technology in various fields.

Abstract The electric vehicle industry are growing rapidly due to the increasing demand for sustainable transportation solutions. However, the production of electric vehicles involves complex manufacturing processes that require high precision and accuracy to ensure the quality of the final product. One of the critical components of electric vehicles is their printed circuit boards (PCB), which play a crucial role in controlling and regulating the vehicle’s electronic systems. The application of machine learning in electric vehicle printing can enhance the manufacturing processes and product quality by providing real-time monitoring, prediction, and optimization capabilities. And this study concentrates on two main problems: firstly inadequate load capacity, that circuit boards can’t load high current and voltage and secondly reliability issues caused by harsh working environments, such as large temperature fluctuations, high humidity, strong vibrations, and excessive dust, which can easily lead to circuit board failure.One of the biggest innovation of this paper is using machine learning to analyze the relationship between some factors and circuit board lifespan.

Abstract 2023 is known as the “Year of AIGC” (Artificial Intelligence Generated Content), and the concepts of artificial intelligence and AI big models are rapidly igniting the market. As a digital technology, AIGC brings profound changes and innovative power to social services, design innovation, humanities development, media renewal, and business models. “Digital transformation” has gradually become an essential issue of the times. At the same time, AIGC is also changing the digital transformation process of fashion exhibitions. Therefore, this paper hopes to explore the application and empowerment of AIGC technology in the digital transformation of fashion exhibitions, to provide new research perspectives and methods for related disciplines from the perspective of design, to enhance the quality and efficiency of fashion exhibitions in digital transformation, and at the same time, try to think about the solutions and the path of future development.

Abstract As a new wide-band semiconductor material emerging in recent years, Silicon carbide has the advantages of high voltage resist_x005fance, high temperature resistance, high power, high breakdown field strength and high thermal conductivity. This paper looks forward to the current status and future development of its application in power system, and its rapid development will bring great influence to the power system. Based on the booming development of silicon carbide materials, it can provide an insight into the possible future development trend of power electronic devices.

Abstract In order to solve the problems of low detection accuracy when the background of safety helmets is complex at construction sites, and the safety helmet target is too small to be easily detected, this paper proposes a real-time detection algorithm for safety helmets in complex working environments based on the YOLOv5 framework. An improved YOLOv5 detection algorithm is proposed to address the issues of missing safety helmets and low detection accuracy in the construction environment. Adding an attention mechanism to the YOLOv5 backbone network, adding a detection layer at the neck of the network, and integrating an ASFF module at the neck of the network have better detection performance when facing complex backgrounds and dense helmet detection; The experimental results show that compared to the original YOLOv5 model, the improved average accuracy has increased by 2.4%, reaching 91.3%, effectively improving the detection ability of safety helmets in complex environments.

Abstract With the rapid development of science and technology, artificial intelligence technology has made remarkable achievements in all walks of life. In the field of mechanical design and manufacturing, artificial intelligence not only brings disruptive changes to the traditional manufacturing methods, but also provides new possibilities for automated production. This paper will deeply explore the practice of artificial intelligence technology in mechanical design, manufacturing and its automation, in order to provide a useful reference for the future development of the industry.

Abstract With the wide application of automobile engine electric control system, in order to solve the adverse effects of system faults on vehicle performance, this paper takes the automobile engine electric control system as an example for in-depth study. Through the analysis of common faults, the diagnosis and maintenance strategy is proposed, including fault code analysis, circuit detection, software update, and component replacement and adjustment. These strategies are expected to improve the accuracy and repair efficiency of fault location, providing practical guidelines for relevant practitioners. The research aims to promote the development of technology in the field of automotive electronic control system and improve the level of maintenance, in order to provide beneficial reference and guidance for automotive engineers and maintenance personnel.

Abstract As one of the core fields of modern science and technology, electronic engineering technology constantly promotes the develop_x005fment and progress of society. Mechanical and electronic engineering technology on the basis of electronic engineering, combined with the characteristics of mechanical engineering, has a wider range of applications. Through the overview of electronic engineering technology, this paper deeply discusses the modern development trend of mechanical and electronic engineering technology, including intelligence, network, modularization and green. Through the analysis of these trends, we can better understand the future development direction of mechatronics engineering technology, and provide references for the research and practice in related fields.

Abstract Aiming at the defects of target matching measurement and fixed life cycle management in traditional multi-target tracking, a target association and adaptive life cycle management strategy based on boundary IoU is proposed. Boundary IoU takes into account the advantages of Euclidean distance and IoU, which can improve the accuracy of target matching. The adaptive life cycle management correlates the target trajectory confidence with the life cycle, which significantly reduces the target loss and trajectory false detection during the tracking process. Experiments on KITTI multi-target tracking dataset demonstrate the effectiveness of the proposed method.

Abstract Product quality and safety risk monitoring with “risk management” as the core thought has been gradually introduced into the market supervision system. This paper discusses the application method of risk information collection and analysis in product quality risk monitoring through the application practice of big data technology in quality monitoring. Through the emotional analysis and judgment of the arti_x005fcle, the quality risk signal is intelligently excavated to provide technical means and monitoring methods for product quality risk monitoring.

Abstract With the booming development of the Internet of Things, this paper takes the improvement of the efficiency of information and communication technology in its application as the research object. Taking smart city as an example, the paper studies cloud scale, data transmission and security, and proposes to optimize cloud computing and big data processing, and strengthen wireless communication technology, so as to realize more intelligent and efficient applications of the Internet of Things. The research results aim to provide reference for relevant decision makers and engineers, and promote the continuous innovation and application of IoT technology in different fields.

Abstract Aiming at the low speed and accuracy of the existing alignment methods, chaos genetic algorithm is used to search the optimal solution quickly, Spark cloud computing is used to parallelize the alignment, which greatly reduces the execution time and improves the alignment accuracy, it provides an effective tool for deciphering biological genetic code.

Abstract To reconstruct a reliable phylogenetic inference based on the genetic or species diversity of living organisms, and to reveal the sequence of biological evolution, is helpful to understand the history and evolutionary mechanism of biological evolution. In order to solve the problem of limited running time and number of categories in the existing algorithms for constructing maximal reduced tree, chaos genetic algorithm and Spark cloud computing are used to parallel the algorithm, which can greatly reduce the searching time, increase the number of treated species.

Abstract With the acceleration of the digital process, in order to solve the hidden danger of data security, this paper takes data management as an example for in-depth research. In the data collection stage, detailed data collection policies are formulated to clarify business needs and reduce information risks. Advanced encryption technology and secure communication channels are adopted to ensure data transmission confidentiality. In the data storage stage, establish a permission management system to limit access and reduce the risk of internal abuse. Conduct regular safety audit and risk assessment to timely identify and correct potential safety risks. The research results aim to provide effective reference for data security management.

Abstract With the significant role played by air defense missile weapon systems in various local wars and armed conflicts, the significance of operational effectiveness evaluation has become increasingly important. This article determines the operational efficiency index system model of the air defense missile weapon system by constructing the operational environment of the air defense missile weapon system. The improved principal component analysis(PCA) method and MATLAB programming are applied to reduce the dimensionality and decorrelation of the operational performance indicators of the air defense missile weapon system’s operational environment, and the optimized indi_x005fcator system model of the operational efficiency indicators of the air defense missile weapon system is output. At the same time, the weight value is also closer to the actual combat situation, to achieve an accurate and express evaluation of combat effectiveness. By analyzing a case of evaluating the operational effectiveness of a certain type of air defense missile weapon system, key indicators were selected, and the effectiveness of the model in screening the operational effectiveness evaluation indicators of air defense missile weapon systems was verified. This provides a basis or reference for the subsequent optimization of air defense missile weapon system schemes and the evaluation of operational effectiveness and has certain promoting significance.

Abstract Based on the actual operation of daily train reception and departure at stations, the author conducted research on the standardized operation evaluation of train dispatchers. Through the research of the project, a 1:1 station simulation training system is simulated, using technologies such as eye movement recognition, limb motion recognition, and speech recognition to record and analyze the “eye, finger, and mouth call” operation information of train dispatchers. Combined with the operation analysis of the CTC system, the standardization of train dispatchers’ work is achieved.

Abstract The progress of science and technology also promotes the progress of art, the birth of new technology at the same time promotes the progress and development of art, the two complement each other. It only occupies a small part of the whole development history of ceramics, but as a witness of the historical development of ceramics, it has witnessed the development of ceramics. With the development of The Times, all kinds of innovative significance of the bottom of the emergence, the emergence of CNC carving technology, also changed the production of ceramic bottom, to a certain extent to broaden the development space of ceramic art.

Abstract With the continuous development of cloud computing technology, education resource sharing and collaboration have become an important development direction in the field of education. This article conducts research on information and innovative education resource sharing and collaboration supported by cloud computing, aiming to achieve optimal allocation and efficient utilization of education resources. Firstly, this article analyzes the application status and advantages of cloud computing in education resource sharing and collaboration, and explores the key technologies and application models of cloud computing in education resource sharing and collaboration. Secondly, this article proposes an architecture for information and innovative education resource sharing and collaboration based on cloud computing, and designs and implements it in detail. Finally, this article verifies the feasibility and effectiveness of the system through experiments, proving that the system can effectively achieve education resource sharing and collaboration, and improve the efficiency and quality of education resource utilization.

Abstract This paper conducts an analysis of the current state of cooperation in the service industry between Fujian Province and Taiwan, revealing challenges such as structural imbalances, limitations in investment attractiveness, and barriers to cross-strait collaboration. Fujian’s service industry exhibits an irrational structure and limited investment appeal, while Taiwan has established barriers to collaboration. To address these issues, the article proposes the cooperative advantages and policies of the Fujian Free Trade Zone in the service sector. It advocates for open service sectors, offering preferential policies to incentivize Taiwanese enterprise investments, aiming for mutual benefits. The Free Trade Zone adopts a “One Zone, Three Districts” model, focusing on Pingtan, Fuzhou, and Xiamen, aligning strategies with Taiwan’s Free Economic Pilot Zones to foster service industry collaboration. Simultaneously, the Free Trade Zone elevates service sector liberalization, strengthens collaboration with Taiwan’s service industry, propels innovative developments in services, and enhances the level of external collaborations. In the realm of deepened cooperation, recommendations include improving the service industry investment environment, optimizing industry structures, bolstering cross-strait connections, fostering the development of industrial chains, promoting tourism collaborations, and advancing social service industry development. Through in-depth analysis and proposed solutions, this paper offers valuable references and recommendations to further the collaboration in service industries between Fujian and Taiwan.

Abstract In this paper, greenhouse microclimate change is studied and discussed in the context of greenhouse. Based on the hydrodynamic model and mathematical model, a climate-like control model with adjustable parameters is established. The greenhouse environment under different conditions was simulated by adjusting the numerical parameters. In this paper, a glass greenhouse with a length of 10 meters, a width of 3 meters and a height of 2 meters is simulated. Due to the need to consider greenhouse crops, this paper uses the finite difference method to establish a mathematical model of “no crops” in the greenhouse, and the distribution of temperature and wind speed in the greenhouse can be observed through the cross-sectional data. Based on this, crops are added in this paper and the factors of crop canopy are taken into account. Taking the crop canopy as a porous medium model, the temperature field and velocity field are updated based on Dracy’s law, and the temperature and humidity distribution model is established by simulation. The relevant parameters were adjusted to make the whole greenhouse reach a more suitable environment for the healthy growth of plants. Combined with the location, size and number of greenhouse fans for discussion and analysis, the team adjusted the number of fans and the position of the two fans to make the temperature and wind speed distribution in a relatively appropriate situation, meet the “U” shape, which has certain rationality and scientific. By analyzing the greenhouse environment and how to use mathematical models to solve the related problems of fluid dynamics and heat conduction, and using simulation to simulate, a series of theoretical and simulation results are analyzed, and the relevant optimization scheme is designed. Based on this model, the model can be verified by experimental data and can be extended to more complex physical models.

Abstract With the rapid development of science and technology, computers play a very important role in various aspects of people’s lives, learning, and work. The use of computers has also brought many changes to people’s lifestyles and social structures. However, regardless of which technology has advantages in application, there are also many limitations, and the application of computer technology is no exception. Therefore, the article will analyze the advantages and limitations of computers in application, and explain several effective methods to break through these limitations from the perspective of students.

Abstract With the rapid development of modern science and technology, computer technology has been widely applied in various fields of construction in China, playing an important role. However, in practical development, it is precisely because network platforms have the characteristics of virtuality and openness that it is easy to encounter various security issues in the use of computers. This not only brings a lot of inconvenience to users’ work and life, but also may pose serious security threats to their privacy and property. Therefore, we must attach great importance to the issue of computer network information security, continuously strengthen security protection, so that the property and privacy of users can be respected and effectively protected.

Abstract This article first introduces the key technologies in image processing, including image denoising, enhancement, restoration, and super-resolution, and elaborates on the application characteristics of computer vision algorithms in image processing. The article focuses on the image correction techniques under computer vision algorithms, especially the distortion correction process and the processing methods of distorted images. I hope to provide reference for the application of image correction technology through this study.

Abstract The healthcare sector is undergoing a digital transformation, leading to an increase in Electronic Health Records (EHRs) and digital patient data. While this shift offers numerous advantages, it also raises concerns about data security and privacy. This review explores the potential of blockchain technology as a solution to these challenges. By examining the advantages, challenges, and real-world applications of blockchain in healthcare, we aim to provide a balanced perspective on its feasibility and future implications for healthcare data management. This review also delves into the future prospects of blockchain in the healthcare sector and provides detailed research methodologies in the appendix.

Abstract With the rapid development of computer network technology, people’s production and lifestyle have undergone great changes. Due to the universal application and promotion of computer network in all walks of life, coupled with the deepening of smart phones, it makes people become more and more dependent on the information on the network. With the development of computer network technology, peo_x005fple’s work, production and life have been greatly improved, but at the same time it also brings some information security problems related to it. In recent years, the network information security problems that have frequently appeared and been detected in China are strong examples. In the era of networking and informationization, enhancing people’s understanding of computer network security and managing and protecting it are important means to ensure the normal operation of computer networks and safeguard information security.