Journal of Electronic Research and Application

Fiber-Optic Sensors and Their Practical Research in the Internet of Things

Hanqing Liu — 2024-08-14

With the rapid development of the Internet of Things (IoT) technology, fiber-optic sensors, as a kind of high-precision and high-sensitivity measurement tool, are increasingly widely used in the field of IoT. This paper outlines the advantages of fiber-optic sensors over traditional sensors, such as high precision, strong resistance to electromagnetic interference, and long transmission distance. On this basis, the paper discusses the application scenarios of fiber-optic sensors in the Internet of Things, including environmental monitoring, intelligent industry, medical and health care, intelligent transportation, and other fields. It is hoped that this study can provide theoretical support and practical guidance for the further development of fiber-optic sensors in the field of the Internet of Things, as well as promote the innovation and application of IoT.

Research on the Application of Big Data and Cloud Computing Technology in Smart Campus

Shengtao Zhou — 2024-08-14

The current education field is experiencing an innovation driven by big data and cloud technologies, and these advanced technologies play a central role in the construction of smart campuses. Big data technology has a wide range of applications in student learning behavior analysis, teaching resource management, campus safety monitoring, and decision support, which improves the quality of education and management efficiency. Cloud computing technology supports the integration, distribution, and optimal use of educational resources through cloud resource sharing, virtual classrooms, intelligent campus management systems, and Infrastructure-as-a-Service (IaaS) models, which reduce costs and increase flexibility. This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses, showing how these technologies can contribute to the development of smart campuses, and laying the foundation for the future innovation of education models.

Using Python to Analyze Financial Big Data

Xuanrui Zhu — 2024-08-26

As technology and the internet develop, more data are generated every day. These data are in large sizes, high dimensions, and complex structures. The combination of these three features is the “Big Data” ^[1]. Big data is revolutionizing all industries, bringing colossal impacts to them^[2]. Many researchers have pointed out the huge impact that big data can have on our daily lives ^[3]. We can utilize the information we obtain and help us make decisions. Also, the conclusions we drew from the big data we analyzed can be used as a prediction for the future, helping us to make more accurate and benign decisions earlier than others. If we apply these technics in finance, for example, in stock, we can get detailed information for stocks. Moreover, we can use the analyzed data to predict certain stocks. This can help people decide whether to buy a stock or not by providing predicted data for people at a certain convincing level, helping to protect them from potential losses.

Design and Research on Identification of Typical Tea Plant Diseases Using Small Sample Learning

Jian Yang — 2024-10-09

Tea plants are susceptible to diseases during their growth. These diseases seriously affect the yield and quality of tea. The effective prevention and control of diseases requires accurate identification of diseases. With the development of artificial intelligence and computer vision, automatic recognition of plant diseases using image features has become feasible. As the support vector machine (SVM) is suitable for high dimension, high noise, and small sample learning, this paper uses the support vector machine learning method to realize the segmentation of disease spots of diseased tea plants. An improved Conditional Deep Convolutional Generation Adversarial Network with Gradient Penalty (C-DCGAN-GP) was used to expand the segmentation of tea plant spots. Finally, the Visual Geometry Group 16 (VGG16) deep learning classification network was trained by the expanded tea lesion images to realize tea disease recognition.

Cutting-Edge Challenges in Communication Technology and Computer Network Security

Haikang Gu — 2024-10-08

The rapid development of communication technology and computer networks has brought a lot of convenience to production and life, but it also increases the security problem. Information security has become one of the severe challenges faced by people in the digital age. Currently, the security problems facing the field of communication technology and computer networks in China mainly include the evolution of offensive technology, the risk of large-scale data transmission, the potential vulnerabilities introduced by emerging technology, and the dilemma of user identity verification. This paper analyzes the frontier challenges of communication technology and computer network security, and puts forward corresponding solutions, hoping to provide ideas for coping with the security challenges of communication technology and computer networks.

Research on Heterogeneous Information Network Link Prediction Based on Representation Learning

Yan Zhao — 2024-10-09

A heterogeneous information network, which is composed of various types of nodes and edges, has a complex structure and rich information content, and is widely used in social networks, academic networks, e-commerce, and other fields. Link prediction, as a key task to reveal the unobserved relationships in the network, is of great significance in heterogeneous information networks. This paper reviews the application of presentation-based learning methods in link prediction of heterogeneous information networks. This paper introduces the basic concepts of heterogeneous information networks, and the theoretical basis of representation learning, and discusses the specific application of the deep learning model in node embedding learning and link prediction in detail. The effectiveness and superiority of these methods on multiple real data sets are demonstrated by experimental verification.

Design of Signal Lamp Filament Monitoring Alarm Instrument

Haifeng Zhu — 2024-10-08

To improve the reliability of the light emitting diode (LED) signal lamp filament current monitoring alarm instrument for metro systems, a new type of hot standby online monitoring apparatus was developed which is based on synchronous transmission data (STD) bus technology. In this system, a double hot standby mode can be achieved by adopting bus arbitration. In addition, to detect the effective value of alternating current which is from 0 to 200 mA in the signal lamp lighting circuit, a precision rectifier signal conditioning circuit and an isolated acquisition circuit were designed. This new type of alarm instrument has high detection accuracy and could meet the functional requirements for metro signal systems after comparing it with some industry products that were applied on the spot.

Economic Overhaul Mode of Steam Engine Professional Equipment in Thermal Power Plant

Rui Wang — 2024-10-08

To ensure that the daily production activities of thermal power plants can produce their due effect in the production and business activities, it is necessary to carry out efficient and orderly maintenance work on the professional equipment of steam engines. However, the maintenance work of steam engine professional equipment in thermal power plants usually uses high-cost expenditures. Therefore, how to take effective measures to reduce the cost of professional equipment maintenance in thermal power plants has become a problem that needs to be solved before such maintenance can proceed. Among them, through the application of economic maintenance equipment in thermal power plants, the actual production and operation costs can be effectively reduced. Based on this, the author will analyze the application of the model of economic maintenance of steam engine professional equipment in thermal power plants.

Application Analysis of BIM Technology in Construction Engineering Cost Management

Rui Ma — 2024-10-08

With the rapid development of information technology, Building Information Modeling (BIM) technology has gradually occupied an important position in the construction industry. With the introduction of BIM technology, the cost control of construction projects can be greatly improved ^[1]. The use of this technology can not only reduce the project approval time but also improve the quality of the project. In addition, it can also help the construction personnel to solve the project changes, maintenance costs, insurance rates, and other related issues, so that the operation of the project is more efficient and economical. This paper will discuss the role of BIM technology in depth, and explore the advantages and disadvantages of each link through the research of the project, to provide a reference for the promotion of this new project. By constantly adjusting the application strategy, the goal is to meet the current market demand.

Considerations for Planning Charging Stations on College Campuses: A Focus on Safety and Economy

Qihong Liang — 2024-10-08

As intelligent networked cars become increasingly integrated into people’s lives, the charging infrastructure of new energy vehicles is becoming a significant factor in the development of the new energy vehicle market. In light of the rapid growth of this market, the problem of charging stations is gradually becoming apparent. This paper puts forward a charging station planning idea. Firstly, a forecast of the charging demand must be made. Subsequently, the economic viability, safety, ease of use for faculty and staff, and the rapid development of new automotive technology must be taken into account. Finally, research and analysis of the actual data must be carried out following the requirements of the different college campuses.

The Design of Multi-Connector IoT Central Gateway Based on Raspberry Pi and Docker

Jie Wang — 2024-10-08

With the vigorous development of Internet of Things (IoT) technology, the demand for communication and data exchange between different types of IoT devices is increasing day by day. To solve the problems of diversity and complexity of communication protocols between devices, this paper proposes a design scheme of a multi-connector IoT central gateway based on Raspberry Pi and Docker. Through the research and application of related technologies, by integrating multiple communication interfaces and utilizing containerization technology, an efficient, flexible, and scalable IoT central gateway has been realized, which can support the connection and data interaction of multiple communication protocols and provide strong support for the stable operation and development of the IoT system.

Design of a Technology Verification Platform for Space Electromagnetic Interference Signal Testing and Analysis

Qi Liu — 2024-09-30

This paper designs a space electromagnetic interference signal test and analysis technology verification platform. The article firstly introduces the general scheme of the technical verification platform and then describes each component unit of the hardware and the overall structure of the software in detail. The platform can achieve a 10 MHz ~ 50 GHz working frequency band, 1.2 GHz acquisition and real-time recording bandwidth, 6 GB/s recording rate, and 12 TB recording capacity.

Influence of Carbon Content on Element Diffusion in Silicon Carbide-Based TRISO Composite Fuel

Xiaojiao Wang — 2024-09-30

The coating layers of Tri-structural Isotropic Particles (TRISO) serve to protect the kernel and act as barriers to fission products. Sintering aids in the silicon carbide matrix variably react with TRISO coating layers, leading to the destruction of the coating layers. Investigating how carbon content affects element diffusion in silicon carbide-based TRISO composite fuel is of great significance for predicting reactor safety. In this study, silicon carbide-based TRISO composite fuels with different carbon contents were prepared by adding varying amounts of phenolic resin to the silicon carbide matrix. X-ray diffraction (XRD) and Scanning Electron Microscopy (SEM) were employed to characterize the phase composition, morphology, and microstructure of the composite fuels. The elemental content in each coating layer of TRISO was quantified using Energy-Dispersive X-ray Spectroscopy (EDS). The results demonstrated that the addition of phenolic resin promoted the uniform distribution of sintering aids in the silicon carbide matrix. The atomic percentage (at.%) of aluminum (Al) in the pyrolytic carbon layer of the TRISO particles reached its lowest value of 0.55% when the phenolic resin addition was 1%. This is because the addition of phenolic resin caused the Al and silicon (Si) in the matrix to preferentially react with the carbon in the phenolic resin to form a metastable liquid phase, rather than preferentially consuming the pyrolytic carbon in the outer coating layer of the TRISO particles. The findings suggest that carbon addition through phenolic resin incorporation can effectively mitigate the deleterious reactions between the TRISO coating layers and sintering aids, thereby enhancing the durability and safety of silicon carbide-based TRISO composite fuels.

An Integrated Model of Smart Home Applications User Experience Based on Cognitive Dissonance

Lili Wang — 2024-10-09

This study constructs an integrated model of user experience in smart home applications (apps) to deeply explore the impact of cognitive dissonance on users’ emotional responses, subsequent behaviors, and experiential outcomes. The research emphasizes the importance of addressing emotional management in the design and development of smart home apps. The findings indicate that emotional response plays a critical mediating role in the user experience of these apps, offering new insights for further optimization. By understanding users’ emotional reactions and behavioral patterns under cognitive dissonance, developers can more effectively improve interface design and enhance the overall user experience.

Design and Analysis of Terminal Guidance Law for Kinetic Interceptors based on Pulse Engine

Shixin Li — 2024-09-30

A new terminal guidance law is proposed based on a solid propellant pulse engine and an improved proportional navigation method to address the terminal guidance issue for kinetic interceptors. On this basis, the start-stop curve of the pulse motor during the terminal guidance process is designed, along with its start-up logic. The effectiveness of the proposed guidance strategy is verified through simulation.

A Review of Research on Handwritten Chinese Character Recognition with Multi-Feature Fusion

Peng Deng — 2024-09-30

This paper analyzes the progress of handwritten Chinese character recognition technology, from two perspectives: traditional recognition methods and deep learning-based recognition methods. Firstly, the complexity of Chinese character recognition is pointed out, including its numerous categories, complex structure, and the problem of similar characters, especially the variability of handwritten Chinese characters. Subsequently, recognition methods based on feature optimization, model optimization, and fusion techniques are highlighted. The fusion studies between feature optimization and model improvement are further explored, and these studies further enhance the recognition effect through complementary advantages. Finally, the article summarizes the current challenges of Chinese character recognition technology, including accuracy improvement, model complexity, and real-time problems, and looks forward to future research directions.

Research on the Path to High-Quality Development of Grassroots Libraries in the Era of Artificial Intelligence in Henan

Yan Jiang — 2024-10-14

Since the age of digital intelligence, the government has introduced policies to actively promote the intelligent transformation of grassroots public cultural services. Based on the investigation and analysis of the development status quo of grassroots libraries in Henan Province, we put forward the path of high-quality development of grassroots libraries in Henan, namely, improving the mechanism and system, leading with digital intelligence technology, empowering by Yellow River culture (the heritage and values rooted in the history and traditions of the Yellow River region), and driven by users’ demand.

A Novel Optimization Scheme for Named Entity Recognition with Pre-trained Language Models

Shuanglong Li — 2024-09-30

Named Entity Recognition (NER) is crucial for extracting structured information from text. While traditional methods rely on rules, Conditional Random Fields (CRFs), or deep learning, the advent of large-scale Pre-trained Language Models (PLMs) offers new possibilities. PLMs excel at contextual learning, potentially simplifying many natural language processing tasks. However, their application to NER remains underexplored. This paper investigates leveraging the GPT-3 PLM for NER without fine-tuning. We propose a novel scheme that utilizes carefully crafted templates and context examples selected based on semantic similarity. Our experimental results demonstrate the feasibility of this approach, suggesting a promising direction for harnessing PLMs in NER.

Design and Implementation of the Employment Management Decision Support System based on Machine Learning

Zhigang Ma — 2024-10-02

To address the challenges of current college student employment management, this study designed and implemented a machine learning-based decision support system for college student employment management. The system collects and analyzes multidimensional data, uses machine learning algorithms for prediction and matching, provides personalized employment guidance for students, and provides decision support for universities and enterprises. The research results indicate that the system can effectively improve the efficiency and accuracy of employment guidance, promote school-enterprise cooperation, and achieve a win-win situation for all parties.

Construction and Practice of Teaching Evaluation System Based on Data Mining

Yanfang Zong — 2024-10-02

The teaching quality evaluation system based on data mining technology can accurately and fairly identify the core driving factors to improve teaching quality. This method adopts the analysis of big data correlation rules, including data collection and processing preparation steps, builds the data warehouse of association rules, and then generates an educational quality evaluation framework using the principle of data mining. Based on this, this paper analyzes the construction design and method of the teaching evaluation system under data mining, hoping to provide help for the improvement of the teaching evaluation system and the improvement of teaching quality.

Cooperative Adaptive Cruise Control Platoon Fleet Formation Model Considering Efficiency and Stability

Shunli Li — 2024-10-02

In the existing formation model, vehicles in the same lane or adjacent lane are regarded as the structure, and the driving behavior of vehicles is studied from the perspectives of safety, speed consistency, and stability, and the speed control model is proposed from the perspective of vehicles themselves, to obtain a stable fleet with the same distance and speed. However, in this process, the initial condition of the vehicle, the traffic flow environment, and the efficiency of the fleet formation are less considered. Therefore, based on summarizing the existing fleet building model, this paper puts forward the rapid construction model and algorithm of a cooperative adaptive cruise control platoon fleet. One of the important goals of forming a team is to enter the team with the smoothest trajectory in the shortest time. Therefore, this chapter studies the trajectory optimization of the vehicle formation process from the perspective of vehicle dynamics.

Intelligent Assisted Travel Wheelchair Based on Image Recognition Technology

Shuai Li — 2024-10-14

This paper introduces an intelligent image recognition system integrated into a wheelchair based on deep learning in cold environments, aiming to improve the convenience and safety of disabled individuals. The system adopts advanced image recognition technology to monitor road conditions in real-time through the camera and to detect and measure distance to foreign objects on the road. The system visualizes the detection results on the wheelchair screen to assist the user in avoiding and improving the safety of their daily travel. In addition, the system also includes crawler tracks, seat heating, snow and rain protection, and other functions. The wheelchair has a wide range of application prospects and development potential. It is expected to be widely used in the future, providing a strong guarantee for the safe travel of disabled individuals in China.

Design and Implementation of USB Key System Based on Dual-Factor Identity Authentication Protocol

Jianxin Wang — 2024-09-30

With the increasing demand for information security, traditional single-factor authentication technology can no longer meet security requirements. To this end, this paper proposes a Universal Serial Bus (USB) Key hardware and software system based on a two-factor authentication protocol, aiming to improve the security and reliability of authentication. This paper first analyzes the current status and technical principles of USB Key-related research domestically and internationally and designs a two-factor authentication protocol that combines impact/response authentication and static password authentication. The system consists of a host computer and a USB Key device. The host computer interacts with the USB Key through a graphical user interface. The Secure Hash Algorithm 1 (SHA-1) and MySQL database are used to implement the authentication function. Experimental results show that the designed two-factor authentication protocol can effectively prevent replay attacks and information tampering, and improve the security of authentication. If the corresponding USB Key is not inserted, the system will prompt that the device is not found. Once the USB Key is inserted, user identity is confirmed through two-factor verification, which includes impact/response authentication and static password authentication.

Research on the Application of New Energy Photovoltaic Power Generation Technology

Weimin Liu — 2024-10-08

With the rapid development of technology and economy, the demand for energy in society is increasing. People are gradually realizing that fossil energy is limited, and the development of new energy may also face situations where it cannot meet social needs. The problem of resource shortage is gradually exposed to people. Therefore, the development of usable new energy has become an urgent problem for society to solve. At present, electricity is the most widely used energy source worldwide and photovoltaic power generation technology is gradually becoming well-known. As an emerging industry, the development of photovoltaic power generation still requires continuous promotion by national and social policies to be extended to various industries and ensure the stability of its energy supply. This article mainly outlines the principles, characteristics, and advantages of photovoltaic power generation, and briefly explains the current technology types and application aspects of photovoltaic power generation to contribute to its promotion and better serve all aspects of social life with new energy.

Innovative Scientific Discoveries: The Role of Intelligent Computing in the Fifth Paradigm Shift

Zhiyi Liu — 2024-10-08

This article explores the key role of intelligent computing in driving the paradigm shift of scientific discovery. The article first outlines the five paradigms of scientific discovery, from empirical observation to theoretical models, then to computational simulation and data intensive science, and finally introduces intelligent computing as the core of the fifth paradigm. Intelligent computing enhances the ability to understand, predict, and automate scientific discoveries of complex systems through technologies such as deep learning and machine learning. The article further analyzes the applications of intelligent computing in fields such as bioinformatics, astronomy, climate science, materials science, and medical image analysis, demonstrating its practical utility in solving scientific problems and promoting knowledge development. Finally, the article predicts that intelligent computing will play a more critical role in future scientific research, promoting interdisciplinary integration, open science, and collaboration, providing new solutions for solving complex problems.