Journal of Electronic Research and Application

Internal Control Management and Risk Prevention Measures of State-Owned Enterprises

Bing Liu — 2024-06-05

As an important pillar of national economic development, state-owned enterprises, their operational efficiency, and risk management ability are directly related to the stability and security of the national economy. As an important part of enterprise management, internal control management plays an irreplaceable role. Especially in the current domestic and international economic situation is complex and changeable, market competition is increasingly fierce environment, to strengthen the internal control management of state-owned enterprises and risk prevention measures is particularly important. This paper starts with the importance of internal control management and risk prevention for state-owned enterprises, and analyzes the problems and strategies in the internal control management and risk prevention of state-owned enterprises, in order to build a more comprehensive and efficient risk management system for state-owned enterprises to adapt to the ever-changing market environment and realize sustainable development.

Analysis of the “Trinity” Model of Corporate Compliance Management

Boning Jiang — 2024-06-05

In today’s fast-changing business environment, enterprises are facing unprecedented challenges. In today’s fast-changing business environment, enterprises are facing unprecedented challenges. Compliance management has become a key element to ensure the sustainable development of enterprises, not only because it assists enterprises to comply with laws and regulations, but also because it is the cornerstone of corporate reputation and culture. A compliance management model called “Trinity” has emerged. Based on this, this paper analyzes in detail the “Trinity” model of compliance management from the value of its application in enterprises, to provide new ideas and directions for the compliance management work of enterprises, and promote enterprises to achieve a more robust and stable business environment in the complex and changing market environment. In order to provide new ideas and directions for enterprise compliance management, and to promote enterprises to realize more stable and sustainable development in the complex and changing market environment.

Designing and Implementing an Advanced Big Data Governance Platform

Yekun Chen — 2024-06-14

Contemporary mainstream big data governance platforms are built atop the big data ecosystem components, offering a one-stop development and analysis governance platform for the collection, transmission, storage, cleansing, transformation, querying and analysis, data development, publishing, and subscription, sharing and exchange, management, and services of massive data. These platforms serve various role members who have internal and external data needs. However, in the era of big data, the rapid update and iteration of big data technologies, the diversification of data businesses, and the exponential growth of data present more challenges and uncertainties to the construction of big data governance platforms. This paper discusses how to effectively build a data governance platform under the big data system from the perspectives of functional architecture, logical architecture, data architecture, and functional design.

Flexible Fixture Design for the Top and End Surface Processing of NP2_NP4 Cylinder Heads

Cheng Chang — 2024-06-14

This paper focuses on the design of fixtures for NP2 and NP4 cylinder heads on a horizontal machining center of flexible machining automatic lines. It began with an analysis of the diagrams of part processing and working procedure which formed the basis for the design of the processing technology scheme, a selection of suitable machine tools, and the setting of processing parameters. Fixtures tailored to the chosen machine tools were then designed to meet the processing requirements. Additional aspects of the project included the design of part drawings, calculation of working time quota, design of auxiliary guides, support clamping, and hydraulic circuits, all aimed at fulfilling practical production requirements.

Multi-Plate Microbial Monitoring Terminal Based on Raspberry Pi 4B

Qirong Luo — 2024-06-14

We utilized Raspberry Pi 4B to develop a microbial monitoring system to simplify the microbial image-capturing process and facilitate the informatization of microbial observation results. The Raspberry Pi 4B firmware, developed under Python on the Linux platform, achieves sum verification of serial data, file upload based on TCP protocol, control of sequence light source and light valve, real-time self-test based on multithreading, and an experiment-oriented file management method. The system demonstrated improved code logic, scheduling, exception handling, and code readability.

Research on the Design and Application of Virtual and Real Integrated Training Platform Based on Intelligent Manufacturing

Xiayun Liu — 2024-06-14

In this paper, we built a robot training platform using virtual simulation software, and the robot assembly, handling, and palletizing were realized. The workstation includes an industrial robot, gas control unit, track function module, assembly function module, palletizing function module, vision module, etc., and robot movement is achieved through language programming. The platform provides conditions for the practical ability training of application-oriented talents.

Interactive Media Visual Interpretation of Traditional Chinese Graphics in Urban Public Spaces

Fu Zhang — 2024-06-14

This paper focuses on the application of interactive media technology in the visual interpretation of traditional graphic urban public spaces in China. Case studies and practical exploration show that interactive media technologies such as projection mapping, interactive devices, virtual reality technology, etc., have realized the diversity of traditional graphics display forms in urban public space. The rich interactive experience design enhances the sense of participation and experience of urban citizens and tourists and promotes the visual culture transmission of traditional Chinese graphics. The future urban public space exhibition is destined to continue to deepen the integration of technology and graphics, promote the visual communication of traditional Chinese graphics visual interpretation in urban public space, and promote sustainable innovation in cultural output in urban public space exhibitions around the world.

Teaching Mode Reform of the Electrical Automation Control Course

Xiaoqiong Chen — 2024-06-14

Under the background of the new era, higher requirements are put forward for colleges and universities to carry out teaching reform. Teachers of electrical automation control courses should update their teaching ideas regularly, innovate teaching methods, and take novel and effective measures to carry out related work. Because electrical automation control courses tend to be technology-oriented, teachers can help students consolidate basic knowledge. They should also focus on developing practical skills so students can easily adapt to future job positions. However, there are many problems in the actual teaching process, which hampers the improvement of the teaching quality to a certain extent. In view of this, this paper presents an in-depth exploration based on theories and practical experiences. It starts with an analysis of the current teaching status of electrical automation control courses in colleges and universities, followed by suggestions to improve them based on their characteristics and students’ needs.

Research on the Design of Innovative Play Blind Box Based on AR Digital Technology Empowering Traditional Intangible Cultural Heritage

Zhilin Gu — 2024-06-14

The development of science and technology, especially the rise of augmented reality (AR) technology provides a new way for the inheritance and innovation of traditional intangible cultural heritage. Based on the design and research of the tide play blind box of AR digital technology empowering traditional intangible cultural heritage, this paper discusses the application and feasibility of AR technology in the traditional intangible cultural heritage, analyzes the strategy of implementing AR technology empowering intangible cultural heritage, and puts forward corresponding countermeasures for the challenges that may be faced, aiming at providing new ideas and methods for traditional intangible cultural heritage and modern science and technology.

Research of Blockchain Technology in the Traceability of Characteristic Agricultural Products

Qian Zhang — 2024-06-14

With the increasingly prominent problem of food safety, the quality traceability of characteristic agricultural products has become a pressing issue. This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products, aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products. Through the combination of case analysis and model construction, a blockchain-based traceability system for characteristic agricultural products was established. The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales, and greatly improve the immutability and traceability of data. Lastly, this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products, provide consumers with authentic and reliable product information, and provide new technical means for the quality management of agricultural products.

Teaching Design and Implementation of the Electrical and Electronic Technology Course Based on Teaching Ability Competition

Xiayida Maxue’er — 2024-06-14

The teaching ability competition is a vital method for stimulating teachers' enthusiasm and enhancing their teaching skills. This approach has gained increasing attention from colleges and universities in recent years. The competition focuses on evaluating teachers' capabilities in designing and implementing lessons, encouraging the exchange of new educational ideas and high-quality teaching methods. Reforming the teaching of Electrical and Electronic Technology courses based on insights from teaching competitions can significantly improve teaching quality. This paper explores the teaching design and implementation of the Electrical and Electronic Technology course, drawing on the principles of teaching ability competitions. First, it analyzes the existing problems in teaching this course. Then, it highlights the significant benefits that teaching competitions bring to the course. Based on these insights, the paper proposes practical strategies aimed at enhancing students’ interest and practical skills, thereby promoting innovative developments in teaching Electrical and Electronic Technology.

Construction and Application Exploration of Smart Agriculture Based on Big Data Technology

Zhongling Li — 2024-06-14

Big data finds extensive application and many fields. It brings new opportunities for the development of agriculture. Using big data technology to promote the development of smart agriculture can greatly improve the effect of agricultural planting, reduce the input of manpower and material resources, and lay a solid foundation for the realization of agricultural modernization. In this regard, this paper briefly analyzes the construction and application of smart agriculture based on big data technology, hoping to provide some valuable insights for readers.

Research on Shortest Path BFS Strategy in Multi-AGV Scheduling System

Shi Deng — 2024-06-14

With the increasing maturity of automated guided vehicles (AGV) technology and the widespread application of flexible manufacturing systems, enhancing the efficiency of AGVs in complex environments has become crucial. This paper analyzes the challenges of path planning and scheduling in multi-AGV systems, introduces a map-based path search algorithm, and proposes the BFS algorithm for shortest path planning. Through optimization using the breadth-first search (BFS) algorithm, efficient scheduling of multiple AGVs in complex environments is achieved. In addition, this paper validated the effectiveness of the proposed method in a production workshop experiment. The experimental results show that the BFS algorithm can quickly search for the shortest path, reduce the running time of AGVs, and significantly improve the performance of multi-AGV scheduling systems.

Application of Smart Streetlights in Urban Road Lighting

Huiyan Yang — 2024-06-14

The construction and installation of street lighting is an important element in the modernization of China’s cities. Besides, it also plays an important role in raising the living standards of the people. In recent years, with the technological and economic development, smart street lighting has gradually emerged. Key functions of smart street lighting include road illumination, cultural promotion, meteorological monitoring, public broadcasting, and 5G micro-base stations. The overall quality of smart street lighting construction directly impacts the effectiveness of urban development and the city’s comprehensive growth. This paper analyzes the concept of smart street lighting, its advantages and disadvantages, the functionalities of smart street light systems, and the application of smart street lighting in urban road illumination.

Analysis and Research on 10kV Distribution Network Faults

Jiyuan Wang — 2024-06-14

The 10kV distribution network is an essential component of the power system, and its stable operation is crucial for ensuring reliable power supply. However, various factors can lead to faults in the distribution network. In order to enhance the safety and reliability of power distribution, this paper focuses on the analysis of faults in the 10kV distribution network caused by natural factors, operational factors, human factors, and equipment factors. It elucidates the various hazards resulting from distribution network faults and proposes corresponding preventive measures for different types of faults in the 10kV distribution network. The aim is to mitigate or reduce the impact of distribution network faults, ensuring the safe and stable operation of the distribution system.

Study on the Preparation, the Magnetic Performance, and the Oxygen Evolution Reaction of LaMnO3+δ

Peng Fan — 2024-06-14

In this paper, a series of LaMnO_3+δ (LMOs) were successfully prepared by adjusting the sintering temperature using the sol-gel method with ABO₃-type LMO oxides as the object of study. The results showed that with the increase of sintering temperature, the O_ads, oxygen vacancies, and Mn⁴⁺ content in the system gradually decreased, and the oxygen evolution reaction (OER) was subsequently weakened. Although the suitable Mn³⁺/Mn⁴⁺ valence ratio (2.15:1) of the LMO700 sample created a strong ferromagnetic double-exchange effect, the high concentration of oxygen vacancies in LMO700 disturbed this effect and weakened its macro magnetism. This paper serves to contribute to the design and development of new magnetic perovskite electrocatalysts.

Optimizing Spatial Crowdsourcing: A Quality-Aware Task Assignment Approach for Mobile Communication

Jiali Weng — 2024-06-14

The widespread use of advanced electronic devices has led to the emergence of spatial crowdsourcing, a method that taps into collective efforts to perform real-world tasks like environmental monitoring and traffic surveillance. Our research focuses on a specific type of spatial crowdsourcing that involves ongoing, collaborative efforts for continuous spatial data acquisition. However, due to limited budgets and workforce availability, the collected data often lacks completeness, posing a data deficiency problem. To address this, we propose a reciprocal framework to optimize task assignments by leveraging the mutual benefits of spatiotemporal subtask execution. We introduce an entropy-based quality metric to capture the combined effects of incomplete data acquisition and interpolation imprecision. Building on this, we explore a quality-aware task assignment method, corresponding to spatiotemporal assignment strategies. Since the assignment problem is NP-hard, we develop a polynomial-time algorithm with the guaranteed approximation ratio. Novel indexing and pruning techniques are proposed to further enhance performance. Extensive experiments conducted on datasets validate the effectiveness of our methods.

Application of Intelligent Technology in Building Electrical Lighting Project

Yingling Dai — 2024-06-14

The rapid development of intelligent technology has led to its introduction into the field of electrical lighting in buildings. It provides more technical support for system design, use, and management, and creates a comfortable and safe living environment. The adoption of intelligent technology enables the creation of an intelligent management system, where controllers and sensors are used to adjust the light source within the building, monitor and manage the lighting system in real time, monitor the energy consumption and safety of the system, and achieve the goal of energy saving and emission reduction. This paper briefly discusses the application and significance of intelligent technology in electrical lighting and puts forward design ideas to optimize electrical lighting and measures for lighting system management.

Wearable Inflatable Massage Chair: The Future of Comfort

Xingyu Tong — 2024-06-14

With the continuous advancement of science and technology, our lifestyles are undergoing significant changes, with wearable technology emerging as a captivating trend. In this digital era, there is a growing demand for solutions that cater to people’s needs for health and comfort. The wearable inflatable massage chair represents one such innovation designed to meet these evolving needs. This project is focused on creating a “wearable and portable massage chair” that is both convenient and lightweight. It serves as a massage solution particularly beneficial for the elderly and sedentary individuals. This innovative chair can be used by the elderly during outings or errands, as well as by office workers on business trips, while driving, or commuting via subway. Users can simply lean against the seat or a wall, enjoying moments of relaxation amid the busy and fast-paced modern era.

A New Method for Generating Conics

Chengzhi Guo — 2024-06-14

In this paper, based on the mean value theorem of differential, a new method of generating conics such as circles and parabolas is given, and the related algorithm for generating conics is designed.

Adapter Based on Pre-Trained Language Models for Classification of Medical Text

Quan Li — 2024-06-14

We present an approach to classify medical text at a sentence level automatically. Given the inherent complexity of medical text classification, we employ adapters based on pre-trained language models to extract information from medical text, facilitating more accurate classification while minimizing the number of trainable parameters. Extensive experiments conducted on various datasets demonstrate the effectiveness of our approach.

Temperature-Based Fan Speed Optimization Strategy

Chucheng Wang — 2024-06-14

As energy efficiency and indoor comfort increasingly become key standards in modern residential and office environments, research on intelligent fan speed control systems has become particularly important. This study aims to develop a temperature-feedback-based fan speed optimization strategy to achieve higher energy efficiency and user comfort. Firstly, by analyzing existing fan speed control technologies, their main limitations are identified, such as the inability to achieve smooth speed transitions. To address this issue, a BP-PID speed control algorithm is designed, which dynamically adjusts fan speed based on indoor temperature changes. Experimental validation demonstrates that the designed system can achieve smooth speed transitions compared to traditional fan systems while maintaining stable indoor temperatures. Furthermore, the real-time responsiveness of the system is crucial for enhancing user comfort. Our research not only demonstrates the feasibility of temperature-based fan speed optimization strategies in both theory and practice but also provides valuable insights for energy management in future smart home environments. Ultimately, this research outcome will facilitate the development of smart home systems and have a positive impact on environmental sustainability.

Optimization and Performance Analysis of Intelligent Video AI Dynamic

Yu Xing — 2024-06-13

In today’s information age, video data, as an important carrier of information, is growing explosively in terms of production volume. The quick and accurate extraction of useful information from massive video data has become a focus of research in the field of computer vision. AI dynamic recognition technology has become one of the key technologies to address this issue due to its powerful data processing capabilities and intelligent recognition functions. Based on this, this paper first elaborates on the development of intelligent video AI dynamic recognition technology, then proposes several optimization strategies for intelligent video AI dynamic recognition technology, and finally analyzes the performance of intelligent video AI dynamic recognition technology for reference.

Review of Digital Campus Construction Led by Virtual Reality Technology

Jiaxuan Tang — 2024-06-14

In recent years, the government has issued a series of documents to promote the construction of digital campuses. This initiative serves to encourage the deep integration of information technology and intelligent technology education and digital reform, the combination of virtual reality and campus management is the need for innovative thinking and economic and social development, and then better change our learning style and living environment. The construction of the digital campus is based on virtual reality technology, BIM, GIS, and three-dimensional modeling technology to provide an immersive platform for students, promote the integration of virtual reality technology and education, help teachers, students, and parents to understand all kinds of education information and resources, to achieve their interoperability. From the off-campus environment to the school teaching equipment, teachers to teaching quality certification, and learning, to extracurricular entertainment, opening ceremonies to graduation parties, to bring more efficient, convenient, and safe campus life for teachers, students, and staff in school, and break the traditional information restrictions.

Research on Teaching Methods of Flight Control Principles

Dongying Li — 2024-06-14

With the rapid development of China’s civil aviation industry, the teaching method of operating knowledge of flight principles has changed greatly, which creates a good implementation environment to improve the safety of civil aviation in our country. At present, the main training content of air route transport pilots in China is basic aviation theory, initial flight training, airline modification, etc. The principles of flight control are an important part of basic aviation theoretical knowledge training, which will involve a large number of flight technology training content, instructors will also be based on the pilot type. Teaching flight control theory and practical knowledge requires relatively high theoretical learning ability of students, and the learning effect of this part of theoretical knowledge will directly affect the quality of subsequent learning, but also directly affect the effectiveness of flight training. This paper focuses on the analysis of the basic concepts of flight control, studies the existing problems in the teaching of flight control principles, summarizes the teaching measures of flight control principles, aiming to provide a reference to teaching personnel.

Design of IoT-based Volatile Organic Compounds Monitoring System

Bo Wang — 2024-06-13

Volatile organic compounds (VOC) gas detection devices based on semiconductor sensors have become a common method due to their low cost, simple principle, and small size. However, with the continuous development of materials science, various new materials have been applied in the fabrication of gas sensors, but these new materials have more stringent requirements for operating temperature, which cannot be met by existing sensor modules on the market. Therefore, this paper proposes a temperature-adjustable sensor module and designs an environmental monitoring system based on the STM32F103RET6 microprocessor. This system primarily utilizes multiple semiconductor gas sensors to monitor and record the concentrations of various harmful gases in different environments. It can also monitor real-time temperature, humidity, and latitude and longitude in the current environment, and upload the data to the Internet of Things via 4G communication. This system has the advantages of small size, portability, and low cost. Experimental results show that the sensor module can achieve precise control of operating temperature to a certain extent, with an average temperature error of approximately 3%. The monitoring system demonstrates a certain level of accuracy in detecting target gases and can promptly upload the data to a cloud platform for storage and processing. A comparison with professional testing equipment shows that the sensitivity curves of each sensor exhibit similarity. This study provides engineering and technical references for the application of VOC gas sensors.

Design and Application of a Novel Wire Stripper

Yuhan Gu — 2024-06-14

With the rapid development of the power industry, the work of the power electrician is becoming increasingly heavy, and the demand for improving work efficiency and reducing work intensity is becoming increasingly prominent. As one of the common tools of electric power, the design and application of wire stripper has an important influence on the efficiency and safety of electric power. This paper briefly analyzes the design and application of ceramic wire for electric power and electricians to provide a reference for the development of related fields.

Comparison of R and Excel in the Field of Data Analysis

Jue Wang — 2024-06-14

This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks. R language’s open-source nature makes it accessible to everyone, and its powerful data management and analysis tools make it suitable for handling complex data analysis tasks. It is also highly customizable, allowing users to create custom functions and packages to meet their specific needs. Additionally, R language provides high reproducibility, making it easy to replicate and verify research results, and it has excellent collaboration capabilities, enabling multiple users to work on the same project simultaneously. These advantages make R language a more suitable choice for complex data analysis tasks, particularly in scientific research and business applications. The findings of this study will help people understand that R is not just a language that can handle more data than Excel and demonstrate that r is essential to the field of data analysis. At the same time, it will also help users and organizations make informed decisions regarding their data analysis needs and software preferences.

A Study on the Factors Influencing Consumer Purchase Decision Under the Live-Streaming Sales Model

Zhaoxia Zhang — 2024-06-14

In recent years, with the rapid development and popularization of Internet information technology, many new media platforms have risen rapidly, and major e-commerce companies have begun to explore the mode of live-streaming. Especially during the COVID-19 pandemic, due to the lockdown, live-streaming has become an important means of economic development in many places. Owing to its remarkable characteristics of timeliness, entertainment, and interactivity, it has become the latest and trendiest sales mode of e-commerce channels, reflecting huge economic potential and commercial value. This article analyzes two models and their characteristics of live-streaming sales from a practical perspective. Based on this, it outlines consumer purchasing decisions and the factors that affect consumer purchasing decisions under the live-streaming sales model. Finally, it discusses targeted suggestions for using the live-streaming sales model to expand the consumer market, hoping to promote the healthy and steady development of the live-streaming sales industry.

Analysis of Current Research and Future Development Trends of Applying Solar Energy in Street Lighting

Liyan Zhang — 2024-06-14

In the context of promoting green energy transition and addressing climate change globally, solar energy, as a clean and renewable energy source, has gradually become a hot topic for research. Solar streetlight systems realize energy self-sufficiency and environment-friendly lighting by integrating photovoltaic power generation technology and efficient LED lighting technology. By comprehensively analyzing the current status of the application of solar streetlights at home and abroad, this paper discusses its technical advantages, market penetration, and challenges in its development. In terms of technical characteristics, this paper focuses on analyzing the key technologies such as energy conversion efficiency and intelligent control systems of solar streetlights.

Intelligent Vehicle Auxiliary Handling System Based on the Internet of Things Technology

Chenxiao Wu — 2024-06-14

This paper proposes an intelligent vehicle auxiliary handling system based on Internet of Things (IoT) technology, featuring an innovative holding mechanism design that adjusts to the length and width of various vehicles. The system combines precise positioning using satellite tracking technology, intelligent recognition via OpenCV, and the interconnectivity of IoT. This intelligent vehicle auxiliary handling system can independently identify vehicle positions and plan optimal handling paths, eliminating the traditional reliance on manual operation. It offers efficient and accurate handling, setting a new trend in the handling industry. Additionally, the system integrates seamlessly with parking lot management systems, providing real-time updates on vehicle locations and statuses. This allows managers to monitor the parking lot operations clearly and efficiently. This intelligent coordination greatly enhances overall work efficiency and streamlines parking management. Overall, the innovative design of the intelligent vehicle auxiliary handling system represents a significant breakthrough in both function and performance, gaining user favor with its smooth operation. Looking ahead, continued technological advancements and the expansion of application fields will bring even more vitality and intelligence to societal development.

Fractal Analysis on Methane Hydrate Formation in Porous Media

Xinfang Cao — 2024-06-14

The study of the hydrate formation process in porous media is of great significance for hydrate application. In this work, the formation process of methane hydrate in porous media was monitored in situ by a low-field magnetic resonance imaging (MRI) system. The formation characteristics of methane hydrate in porous media and the change of fractal dimension of pore space were studied through the change of residual water saturation and T₂ relaxation time distribution. The experimental results show that the hydrate formation process is divided into two stages: fast and slow. During the formation process, the water in the pores is continuously consumed and transformed into hydrate, and the overall T₂ distribution gradually shifts to the left. In the formation process of hydrate, the pore space becomes more complex, the change of fractal dimension from top to bottom of the reactor gradually increases, and the hydrate formation rate also gradually increases.

Integrating AnyLogic Simulation in Emergency Evacuation Management for Enhanced Security

Lina Liu — 2024-06-14

This study introduces an innovative approach by integrating AnyLogic simulation into emergency evacuation strategies to enhance security protocols. The research focuses on leveraging advanced computational models to simulate and optimize evacuation scenarios in various settings, including public venues, residential areas, and urban environments. By integrating real-world data and behavioral models, the simulation accurately represents human movements, decision-making processes, and traffic flow dynamics during evacuation scenarios. The study evaluates the effectiveness of various evacuation strategies, including route planning, crowd behavior, and emergency response coordination, using a scenario-driven approach within the AnyLogic simulation environment. Furthermore, this research contributes to the establishment of optimized emergency response protocols by systematically evaluating and refining evacuation plans. The research frameworks mentioned in the research imply the efficient use of the AnyLogic simulation model to be used in different sectors and fields to enhance the strategies for saving lives and implementing an efficient evacuation management system.

Research on Network Security Level Protection Measurement Strategy in the Context of Cloud Platforms

Lin Ma — 2024-06-14

Platforms facilitate information exchange, streamline resources, and reduce production and management costs for companies. However, some viral information may invade and steal company resources, or lead to information leakage. For this reason, this paper discusses the standards for cybersecurity protection, examines the current state of cybersecurity management and the risks faced by cloud platforms, expands the time and space for training on cloud platforms, and provides recommendations for measuring the level of cybersecurity protection within cloud platforms in order to build a solid foundation for them.

Research on Detection Technology of Micro-Components on Circuit Board Based on Digital Image Processing

Aibin Tang — 2024-06-14

Aiming at the stability of the circuit board image in the acquisition process, this paper realizes the accurate registration of the image to be registered and the standard image based on the SIFT feature operator and RANSAC algorithm. The device detection model and data set are established based on Faster RCNN. Finally, the number of training was continuously optimized, and when the loss function of Faster RCNN converged, the identification result of the device was obtained.

Structural Design Study of Air-Dropped Unmanned Maritime Mobile Search and Rescue Platforms

Zhiming Feng — 2024-06-14

In order to improve the efficiency and safety of search and rescue (SAR) at sea, this paper proposes a kind of emergency rapid rescue unmanned craft (air-dropped unmanned maritime motorized search and rescue platform) that can be delivered by a large transport aircraft. This paper studies the structural design scheme of the platform, and the main scale of the platform, the choice of power system and the impact resistance performance are considered in the design process to ensure its rapid response and effective rescue capability under complex sea conditions. Simulation results show that the platform can withstand the impact of air injection into the water and the shipboard equipment can operate normally under the impact load, thus verifying the feasibility and safety of the design. This study serves to improve the maritime search and rescue system and enhance the oceanic emergency response capability.

Terahertz Spectroscopic Study of Standard Substances for Bituminous Coal and Anthracite

Dan Shao — 2024-06-13

This study underscores the significance of online monitoring of standard substances for bituminous coal and anthracite, two commonly used fossil fuels. Terahertz technology emerges as a powerful non-destructive detection method capable of revealing the physical and chemical properties of measured objects. In this research, terahertz time-domain spectroscopy technology was employed to investigate the spectral characteristics of four distinct types of bituminous coal and anthracite samples. The refractive index and absorption coefficient spectra of these samples were calculated across a frequency range of 0.5 THz to 2.5 THz. Furthermore, principal component analysis was conducted using all refractive index and absorption coefficient data within this frequency band. Through the analysis and comparison with known parameters of coal standard materials, it was established that carbon content primarily influences the refractive index of bituminous coal and anthracite, while ash content predominantly affects the absorption effect. These findings underscore the potential of terahertz spectroscopy in conjunction with principal component analysis to qualitatively assess the similarities and differences between coal samples, thus offering novel insights for the online monitoring of diverse coal types and qualities.

Research on the Application of Virtual Simulation Technology in the Safety Management of Coal Mining

Siqi Cheng — 2024-06-14

Safety is paramount in coal mining as it affects efficiency. Thus, it is essential to enhance the management of coal mine safety. With the ongoing advancement of modern technologies, more innovative solutions are being integrated into the safety management of coal mining, including virtual simulation technology. This paper focuses on analyzing and researching the application of virtual simulation technology in the safety management of coal mining, providing insights for reference.

Designing a Dual-Feed Circular Polarization Antenna

Binghao Zeng — 2024-06-14

This paper describes a novel dual-feed circularly polarized antenna, and the dual feeding mode is realized by grooving on the antenna radiator. The antenna utilizes air dielectric material to meet the requirements of low weight and cost. Test results demonstrate that the antenna exhibits capacitive loading between the metal antenna patch and the ground floor, allowing for adjustment of the working frequency of the dual-feed circularly polarized microstrip antenna. Specifically, the original center frequency of 2.264 GHz was reduced to 1.582 GHz, facilitating antenna miniaturization and broad bandwidth. With a return loss (S11) below -10 dB, a bandwidth of 72 MHz (1.552-1.624 GHz) was obtained. Additionally, the dual-feed microstrip antenna incorporates a 90° bridge, resulting in circular polarization gains of 2.26 dBi at 1.561 GHz and 2.45 dBi at 1.575 GHz. Overall, the antenna design offers a large working bandwidth and excellent circular polarization characteristics, making it suitable for a wide range of applications in satellite navigation and positioning terminals.