Journal of Electronic Research and Application

A Brief Discussion on the Development of Non-Destructive Testing Technology for Steel Wire Rope

Yang Gao — 2025-07-29

In heavy-duty long-distance transmission scenarios, steel wire ropes are widely used due to their unique advantages, and their safety is very important, which has also led to the rapid development of non-destructive testing technology for steel wire ropes. The non-destructive testing technology for steel wire ropes is influenced by various factors such as its own structure and external working environment, and the testing process is relatively complex. Multiple testing methods and related types of sensors have also emerged. The electromagnetic detection method is currently the most effective method, but it also has its limitations in development and has not yet fully achieved the expected detection goals. In order to completely replace manual inspection work with the development of non-destructive testing technology for steel wire ropes, more in-depth research and long-term accumulation are still needed.

A “Tonebusting” Technique to Build a DAC from a First-Order Digital ΣΔ Modulator

Yves Leduc — 2025-08-07

In this paper, we present a novel first-order digital ΣΔ converter tailored for digital-to-analog applications, focusing on achieving both high yield and reduced silicon estate. Our approach incorporates a substantial level of dithering noise into the input signal, strategically aimed at mitigating the spurious frequencies commonly encountered in such converters. Validation of our design is performed through simulations using a high-level simulator specialized in mixed-signal circuit analysis. The results underscore the enhanced performance of our circuit, especially in reducing spurious frequencies, highlighting its efficiency and effectiveness. The final circuit exhibits an effective number of bits of 13.

Application of Drone Remote Sensing Technology in Agricultural Pest Monitoring and Its Challenges

Yimin Gao — 2025-08-08

With the increasing global population and mounting pressures on agricultural production, precise pest monitoring has become a critical factor in ensuring food security. Traditional monitoring methods, often inefficient, struggle to meet the demands of modern agriculture. Drone remote sensing technology, leveraging its high efficiency and flexibility, demonstrates significant potential in pest monitoring. Equipped with multispectral, hyperspectral, and thermal infrared sensors, drones can rapidly cover large agricultural fields, capturing high-resolution imagery and data to detect spectral variations in crops. This enables effective differentiation between healthy and infested plants, facilitating early pest identification and targeted control. This paper systematically reviews the current applications of drone remote sensing technology in pest monitoring by examining different sensor types and their use in monitoring major crop pests and diseases. It also discusses existing challenges, aiming to provide insights and references for future research.

Research on the Application of Single-Chip Microcomputer in Wind Turbine Control

Wei Ju — 2025-08-07

As an important source of clean and renewable resources, the importance of wind power generation is increasing under the background of the theme of “environmental protection” in the new era. The efficiency of wind power generation is mainly affected by the reliability and performance of the power generation system, so it is necessary to use a single-chip microcomputer system and an intelligent algorithm to assist control, so as to improve the performance of wind power generation. Based on this research background, this paper expounds the working principle and basic characteristics of a single-chip microcomputer, summarizes its application advantages in wind turbine control, and puts forward the application practice strategy of a single-chip microcomputer in a wind turbine control system, which provides important assistance for the upgrading of the wind power system.

Detecting Drowsiness Behind the Wheel: A Lightweight Approach Based on Eye and Mouth Aspect Ratios

Heyang Ni — 2025-08-07

Driver distraction is a leading cause of traffic accidents, with fatigue being a significant contributor. This paper introduces a novel method for detecting driver distraction by analyzing facial features using machine deep learning and 68 face model. The proposed system assesses driver tiredness by measuring the distance between key facial landmarks, such as the distance between the eyes and the angle of the mouth, to evaluate signs of drowsiness or disengagement. Real-time video feed analysis allows for continuous monitoring of the driver’s face, enabling the system to detect behavioral cues associated with distraction, such as eye closures or changes in facial expressions. The effectiveness of this method is demonstrated through a series of experiments on a dataset of driver videos, which proves that the approach can accurately assess tiredness and distraction levels under various driving conditions. By focusing on facial landmarks, the system is computationally efficient and capable of operating in real-time, making it a practical solution for in-vehicle safety systems. This paper discusses the system’s performance, limitations, and potential for future enhancements, including integration with other in-vehicle technologies to provide comprehensive driver monitoring.

Transforming the Machine Dog into an Intelligent Companion for the Visually Impaired: Design and Application of a Guide Dog Assistant Based on Quadruped Robots

Jiarui Shi — 2025-08-08

Aiming at the pain points of visually impaired people during travel, this research innovatively transforms an industrial quadruped robot into a guide dog device. By transplanting the PCS-9180 motion control system (1.7 m/s, IP66), and integrating a multi-modal perception network with a lightweight YOLO11 model. Tests show that the pass-through rate in complex terrains is 98%, the response delay is 0.3 seconds, and the cost is 50% that of a guide dog. The research verifies the social value of the transformation of industrial robot technology.

Analysis and Research on Monitoring Devices for Deformation of Wind Turbine Pitch Bearing

Xiangyue Xu — 2025-08-07

The pitch bearing is a component in wind turbine units used to adjust the angle of the fan blades to adapt to the wind direction, so as to maximize the utilization of wind energy. Due to the different working mode of the pitch bearing itself compared with ordinary small bearings and the harsh working environment, the pitch bearing is prone to faults such as cracking and deformation. In severe cases, it will lead to overall damage to the pitch bearing, causing the blade to fall from a high altitude and even injuring personnel. Therefore, this paper conducts a patent analysis and technical decomposition of the deformation monitoring device for pitch bearings, analyzes and summarizes the development process of existing deformation monitoring devices for pitch bearings. Combined with the TRIZ evolution theory and based on the S-curve, it is concluded that the current deformation monitoring device for pitch bearings is in the transitional stage between the infant period and the growth period, and discusses the possible subsequent evolution directions. Through reviewing relevant literature, it is found that inner ring cracks first appear near the upper and lower surfaces of the bolt holes in the inner ring of the pitch bearing. To this end, a new type of deformation monitoring device for pitch bearings is designed. The fiber optic displacement sensor is used for qualitative monitoring of initial cracks near the surface of the bolt holes in the inner ring of the pitch bearing. After cracks are detected, the eddy current sensor is used for quantitative monitoring of whether there are extended cracks between the cracked bolt holes and adjacent bolt holes. Finally, the work done in this paper is summarized and prospected.

Research on the Teaching Reform Strategies of New Energy Vehicle Majors from the Perspective of Industry-Education Integration

Yan Xu — 2025-08-07

In recent years, with the rapid development of the new energy vehicle industry, industry-education integration has become an important way to improve the teaching quality of new energy vehicle majors. Industry-education integration mainly refers to the effective connection of the education chain, talent chain with the industrial chain and innovation chain through deepening school-enterprise cooperation. This can not only promote resource sharing and complementary advantages between schools and enterprises but also effectively improve students' practical abilities and professional qualities, thus providing strong talent support and intellectual guarantee for the sustainable and healthy development of the new energy vehicle industry. In this regard, this article first expounds on the significance of the teaching reform of new energy vehicle majors from the perspective of industry-education integration, and then proposes effective teaching reform strategies, hoping to provide some reference for relevant education researchers.

A Driver Emotion Monitoring System Based on Computer Vision Technique

Zekai Yan — 2025-08-07

Abnormal driving behavior includes driving distraction, fatigue, road anger, phone use, and an exceptionally happy mood. Detecting abnormal driving behavior in advance can avoid traffic accidents and reduce the risk of traffic conflicts. Traditional methods of detecting abnormal driving behavior include using wearable devices to monitor blood pressure, pulse, heart rate, blood oxygen, and other vital signs, and using eye trackers to monitor eye activity (such as eye closure, blinking frequency, etc.) to estimate whether the driver is excited, anxious, or distracted. Traditional monitoring methods can detect abnormal driving behavior to a certain extent, but they will affect the driver’s normal driving state, thereby introducing additional driving risks. This research uses the combined method of support vector machine and dlib algorithm to extract 68 facial feature points from the human face, and uses an SVM model as a strong classifier to classify different abnormal driving statuses. The combined method reaches high accuracy in detecting road anger and fatigue status and can be used in an intelligent vehicle cabin to improve the driving safety level.

Mechanism of Multi-Source Excitation for Whistling Sound of Gear Teeth in Automotive Electric Drive System

Shuai Yuan — 2025-08-07

This paper deeply discusses the causes of gear howling noise, the identification and analysis of multi-source excitation, the transmission path of dynamic noise, simulation and experimental research, case analysis, optimization effect, etc., aiming to better provide a certain guideline and reference for relevant researchers.

Analysis of Tool Wear Condition Monitoring Based on Digital Twin Technology

Chengcheng Zhang — 2025-08-07

This paper focuses on the key issues of tool wear condition monitoring in the field of machining, and deeply discusses the application of digital twin technology in this aspect. This paper expounds the principle and architecture of digital twin technology, analyzes its specific methods in tool wear data acquisition, modeling, simulation, and real-time monitoring, and shows the significant advantages of this technology in improving the accuracy of tool wear monitoring and realizing predictive maintenance. At the same time, the challenges faced by digital twin technology in tool wear condition monitoring are discussed, and the corresponding development direction is put forward, aiming to provide theoretical reference and practical guidance for optimizing tool management by digital twin technology in the machining industry.

Design of a High-Precision Positioning System for UAV Formation Based on RTK

Jiangwei Zhao — 2025-08-07

For the high-precision positioning requirements of UAV formation cooperative operation, a distributed control system based on RTK technology is proposed in this paper. By using the U-blox F9P GNSS module to build an RTK base station/mobile terminal, combined with Pixhawk 6C flight control and MAVESP8266 communication module, centimeter-level (< 2 cm) positioning accuracy is achieved. The system adopts the “centralized planning distributed execution” architecture, transmits RTCM differential data and MAVLink messages through the UDP protocol, and integrates ROS to realize status information subscription. Experiments show that the system can effectively support large area surveying and mapping and other complex tasks, and significantly improve the autonomy and reliability of formation operations.

Study on EMC and OTA Anechoic Chamber Compatibility

Yinfeng Zhou — 2025-08-08

EMC anechoic chamber is used for radiation emission and radiation immunity test, and the wireless performance of products needs to be tested in OTA anechoic chamber. With more and more electronic and electrical equipment with wireless communication function, the rapid construction of a compatible OTA test system in the existing EMC anechoic chamber can save the cost and space of enterprises and third-party laboratories that already have EMC anechoic chamber. In this paper, the OTA test system is built in the existing EMC anechoic room, the ripple calibration test is carried out according to the OTA standard, the TRP and TIS tests are carried out on two test samples with different wireless communication standards, and the test samples are taken to the OTA anechoic room for a comparison test. The comparison between the ripple calibration data and the OTA test data showed that the EMC anechoic chamber could perform OTA test without affecting the original test ability. The data results provide a basis for the implementation of EMC anechoic chamber compatibility upgrade OTA test, and provide reference for further optimization of the compatible test system, reduction of test differences, and the design of anechoic chamber integrating two test functions.

Exploration of Scientific and Technological Ethics Governance in the Age of Artificial Intelligence

Peng Deng — 2025-08-07

With the rapid development of artificial intelligence technology, China has entered the era of artificial intelligence. It not only promotes social development and progress but also faces a series of ethical risks. In response, this article starts from ethical risks, first expounds on the ethical turn in the development of artificial intelligence technology, then clarifies the core challenges of scientific and technological ethics governance in the era of artificial intelligence, and finally, proposes a theoretical framework and practical path for scientific and technological ethics governance, hoping to provide some reference for relevant personnel to better cope with scientific and technological ethics risks in the era of artificial intelligence.

Principles and Optimization of Wireless Energy Transmission Technology

Yuxi Wu — 2025-08-07

Wireless energy transmission technology through the transmitter will be converted into microwave, laser or electromagnetic field and other energy carriers to realize the transmission of space, and the receiver will be captured back to the energy conversion of electrical energy, the whole process can be completed without physical contact energy transfer. The core mechanism is to build the energy coupling channel of the transmitter-receiver system, and realize the spatial power transmission through electromagnetic field interaction. In the electromagnetic induction coupled transmission system, the industrial frequency alternating current is converted into direct current by rectification and filtering, and then converted into high-frequency alternating current by high-frequency inverter. This current excites the primary side transmitting winding to generate a time-varying magnetic field, and through magnetic coupling in the secondary side receiving winding inductance electromotive force, and ultimately through the high-frequency rectifier and power regulation circuit to the load power supply. The essence of the process is to establish a transceiver double-ended resonant network, through the magnetic field resonance to achieve efficient energy exchange, and its transmission characteristics follow the laws of electromagnetic induction and the circuit resonance principle of double constraints.

The Application of Artificial Intelligence in Daily Life: A Preliminary Exploration of Machine Learning

Xincheng Wang — 2025-08-08

This paper delves into the application of artificial intelligence in daily life and the basic concepts of machine learning. Firstly, the concept and background of artificial intelligence were introduced, as well as machine learning as an important branch of artificial intelligence. Subsequently, the specific applications of artificial intelligence in daily life were elaborated, including intelligent voice assistants, recommendation systems, as well as image recognition and facial recognition technologies. Subsequently, a preliminary exploration was conducted on the basic concepts of machine learning, including paradigms such as supervised learning, unsupervised learning, and reinforcement learning, as well as common algorithms such as linear regression, logistic regression, decision trees, and support vector machines. Finally, the application of artificial intelligence in daily life and the basic concepts of machine learning were summarized, and the development trends and future prospects of artificial intelligence technology were discussed, as well as the possibility of guiding readers to continue in-depth learning and exploration in the field of artificial intelligence.

Research on New Energy Storage Technology: Compressed Air Energy Storage, Forging a New Engine for Economic Growth of Manufacturing Enterprises

Zhou Li — 2025-08-08

Currently, the global energy transition is accelerating, and the large-scale integration of renewable energy has brought many thorny problems to the energy and power systems. In particular, the issues of renewable energy consumption and the difficulty of regulating peak-to-valley differences in the power grid are prominent. Compressed air energy storage, as a new large-scale and long-duration physical energy storage technology, has many advantages such as large scale, long lifespan, low cost, and environmental friendliness. It can solve the problem of difficult grid connection for unstable renewable energy generation such as photovoltaic and wind power, and improve energy utilization. In recent years, the industrialization process has been accelerating, demonstrating huge potential and advantages. This article conducts research and analysis on the industrial logic, technological development, industrialization process, industry competition landscape, and market competitiveness of compressed air energy storage, aiming to provide support for optimizing business layout and structural adjustment of enterprises.

Analysis of Guqin Playing Techniques Based on Artificial Intelligence

Yiwen Zhang — 2025-08-07

The Guqin art form is one of China’s oldest musical traditions and is recognized as a significant part of the world’s intangible cultural heritage. Numerous ancient scores have survived to the present day, but only a select few have been adapted for contemporary music. While ancient Guqin scores can be translated into modern numbered or staff notation, their rhythmic elements cannot be accurately replicated. The process of converting these scores into a simplified Guqin notation presents challenges, particularly in selecting appropriate fingerings. To address the issues related to playing ancient scores and transferring new ones, this paper introduces a triple representation method for Guqin score knowledge using knowledge mapping technology. It transforms the simplified Guqin notation into a text format, exemplified by the Ming Dynasty’s “Magic Secret Score.” A computer-editable text corpus of Guqin is created, and various tags are applied to the text. A word cloud visualization of the “Magic Secret Score” text spectrum is generated using a word cloud tool. The frequency of different right-hand fingerings in the “Magic Secret Score” is analyzed. By examining the temporal characteristics of the music, the paper extracts the timing relationships of right-hand fingerings from the text corpus and identifies various performance templates using the KMP pattern matching algorithm. Specifically, it analyzes 64 different right-hand finger techniques. Additionally, the frequency of string combinations in the “Magic Secret Score” is recorded, providing essential guidelines for future intelligent music transfer reasoning. The experimental findings indicate that there are specific constraints on the timing of fingerings and string usage in musical tones, with the maximum length of reusable fingering timing templates being no more than 25.

Exploring the Development Model of UAVs Empowered by the Low-Altitude Economy

Fan Shi — 2025-08-08

The “14th Five-Year Plan” and the Long-Range Objectives Through the Year 2035 propose to strengthen the construction of strategic emerging industrial clusters, promote the deep integration of the internet, big data, artificial intelligence, blockchain technology, etc. with the real economy, facilitate the development of advanced manufacturing, and consider UAVs as an important breakthrough, providing significant opportunities for the development of the UAV industry. Therefore, this article takes the current status of the UAV industry development as a starting point, analyzes the exploration and practice of the UAV development model based on the low-altitude economy, and discusses strategic suggestions to promote the development of UAVs empowered by the low-altitude economy. Through analysis, this article aims to provide theoretical reference and practical guidance for promoting the sustainable development of the UAV industry under the wave of the low-altitude economy.

Analysis of Mechanical Principles of the Unbreakable Doll Performance at Tang Dynasty Night City

Fan Shi — 2025-08-08

The unbreakable doll performance at Tang Dynasty Night City has become extremely popular, sparking a wave of enthusiasm online. In the performance, actors dressed in elegant Tang Dynasty attire appear as if they have stepped out of a historical painting, gracefully dancing on the unbreakable doll apparatus. Every gesture and expression exudes the unparalleled elegance of the Tang Dynasty. This paper primarily analyzes the mechanical principles behind the Tang Dynasty Night City’s Unbreakable Doll Performance, starting with structural design to examine its mechanical principles and summarize its dynamic mechanical control mechanisms.

Panoramic Image Stitching of the South Campus (East Gate) of Shaanxi University of Technology

Wuning Xi — 2025-08-07

With the development of computer vision technology, panoramic image stitching has been widely used in fields such as scene reconstruction. A single traditional image cannot fully capture the panoramic view of the iconic East Gate of the South Campus of Shaanxi University of Technology. Therefore, this project aims to technically fuse multiple partial images into a complete panoramic image, enabling comprehensive recording and visual presentation of the architectural landscapes and spatial environments in this area. This report first introduces the technical background and application scenarios, clarifying the necessity of panoramic image stitching in campus landscape recording. It then elaborates on the core objectives and practical values, highlighting the role of technical solutions in improving image quality. Technically, a modular system design based on OpenCV is adopted, including modules such as image preprocessing, feature extraction and matching, image registration, fusion, and post-processing. Specifically, the SIFT algorithm is applied for feature extraction, KNN combined with ratio testing is used for feature matching, image registration is achieved by calculating the homography matrix, the fusion process utilizes multiband blending and Laplacian pyramid, and post-processing includes operations such as black area filling and CLAHE contrast enhancement. The experiment was conducted in a specific hardware and software environment using five overlapping images. After preprocessing, stitching, detail enhancement, and black edge repair, a panoramic image was successfully generated. The results show that the panoramic image fully presents the relevant scenery, with concealed seams, balanced exposure differences, and strong hierarchical details. This report provides a systematic description of the project’s technical implementation and achievement application.

Genetic Analysis of Android Malware

Linna Wang — 2025-08-08

With the proliferation of Android malware, the issue of traceability in malware analysis has emerged as a significant problem that requires exploration. By establishing links between newly discovered, unreported malware and prior knowledge from existing malware data pools, security analysts can gain a better understanding of the evolution process of malware and its underlying reasons. However, in real-world scenarios, analyzing the traceability of malware can be complex and time-consuming due to the large volume of existing malware data, requiring extensive manual analysis. Furthermore, the results obtained from such analysis often lack explanation. Therefore, there is a pressing need to develop a comprehensive automated malware tracking system that can provide detailed insights into the tracking and evolution process of malware and offer strong explanatory capabilities. In this paper, we propose a knowledge graph-based approach that uses partial API call graphs comprising semantic and behavioral features to reveal the traceability relations among malware and provide explainable results for these relations. Our approach is implemented on a dataset of over 20,000 malware samples labeled with family information, spanning a time period of 10 years. To address the challenges associated with the complexity of analysis, we leverage prior knowledge from existing malware research and a branch pruning method on call graphs to reduce computational complexity and enhance the precision of explanations when determining traceability relations.

Exploration of Medical Equipment Quality Control Management Based on Information Management System

Beibei Li — 2025-08-07

Relevant documents issued by the General Office of the State Council and the Ministry of Health require hospitals to reduce operating costs and improve efficiency, which will place newer and higher demands on medical equipment management. However, the current process of medical equipment quality control in hospitals faces issues such as weak control awareness, untimely maintenance of faulty equipment, and a lack of informatization management tools. These problems severely restrict the development of medical equipment quality management. To address these issues, this article uses a tertiary hospital in Urumqi as an experimental platform to analyze the deficiencies in the current medical equipment quality control management system of public hospitals. Based on practical needs such as equipment procurement, contract management, and equipment management, the research is conducted from three aspects: system architecture, functional design, and talent training, utilizing an information management system. Suggestions are provided, aiming to make a modest contribution to promoting medical equipment quality control management in China.

Discussion on Practical Strategies of Quality Control Technology for Energy Efficiency Testing of Electronic and Electrical Products

Xianfu Wang — 2025-08-07

In the current social environment, the importance of energy conservation and emission reduction is increasing day by day for both the country and its people. Electronic and electrical products, as important items for people’s production and life, require high attention from industry insiders in terms of their energy efficiency testing. Relying on energy efficiency testing can achieve the goal of energy conservation and emission reduction, and related quality control technologies will also inject new momentum into the green development of the industry. This article will discuss the practical strategies of quality control technology for energy efficiency testing of electronic and electrical products based on the significance of such testing, hoping to provide some help.

Research on Innovative Strategies and Application Practices for the Operation and Maintenance of Hydropower Plants

Du Li — 2025-08-07

In the context of energy structure transformation, digital and intelligent technologies have been introduced into the field of hydropower, which has accelerated the technological and equipment innovation of hydropower plants. However, it has also brought severe challenges to the operation and maintenance of hydropower plants. Traditional hydropower plant operation and maintenance suffer from problems such as low efficiency, equipment aging, and high labor costs, which seriously hinder the innovation and upgrading of hydropower plant operation and maintenance. Therefore, this article focuses on the operation and maintenance of hydropower plants, summarizes a series of innovative strategies, and applies them in practice to effectively improve the operation and maintenance level of hydropower plants.

Research on an Air Pollutant Data Correction Method Based on Bayesian Optimization Support Vector Machine

Xingfu Ou — 2025-08-07

Miniature air quality sensors are widely used in urban grid-based monitoring due to their flexibility in deployment and low cost. However, the raw data collected by these devices often suffer from low accuracy caused by environmental interference and sensor drift, highlighting the need for effective calibration methods to improve data reliability. This study proposes a data correction method based on Bayesian Optimization Support Vector Regression (BO-SVR), which combines the nonlinear modeling capability of Support Vector Regression (SVR) with the efficient global hyperparameter search of Bayesian Optimization. By introducing cross-validation loss as the optimization objective and using Gaussian process modeling with an Expected Improvement acquisition strategy, the approach automatically determines optimal hyperparameters for accurate pollutant concentration prediction. Experiments on real-world micro-sensor datasets demonstrate that BO-SVR outperforms traditional SVR, grid search SVR, and random forest (RF) models across multiple pollutants, including PM_2.5, PM₁₀, CO, NO₂, SO₂, and O₃. The proposed method achieves lower prediction residuals, higher fitting accuracy, and better generalization, offering an efficient and practical solution for enhancing the quality of micro-sensor air monitoring data.

Optimization Design of Heliostat Field Based on Big Data Technology

Xinyu Wu — 2025-08-07

In this paper, the optical efficiency and output thermal power of the heliostat mirror field are analyzed and optimized by constructing a geometric model and an optimization algorithm for the optimal design of the heliostat mirror field of a tower-type solar photovoltaic power plant. First, based on the solar position model and the optical efficiency model of the heliostat mirror field, the annual average optical efficiency, the annual average output thermal power, and the annual average output thermal power per unit mirror area of the heliostat mirror field are calculated. Secondly, the EB layout was used to optimize the heliostat field, and the parameters of heliostat size and mounting height were optimized by genetic algorithm and particle swarm algorithm to maximize the annual average output thermal power per unit mirror surface area. The results show that the optimized heliostat mirror field significantly increases the annual average output thermal power per unit mirror area under the condition of achieving the rated power, which provides theoretical basis and technical support for the design and operation of the tower solar thermal power plant.

Fast Charge Test Method for Battery Pack Systems with Thermal Management

Zidan Gong — 2025-08-07

This paper introduces a kind of substitute bench testing method for vehicle application development and testing method of the test requirements, including battery fast conversion cycle test equipment, enter type incubator, liquid-cooled machine and ancillary equipment composed of a set of test system, through the walk-in constant temperature box to simulate the new energy vehicles under different environmental conditions of the test requirements, Liquid-cooled machine and auxiliary parts to complete the battery thermal management system need cooling fluid conditions, the battery conversion cycle test equipment to simulate the dc fast charging way of filling pile, complete battery thermal management system test, shorten the filling fast charging time and improve battery fast charge security, for troubleshooting and data collection and analysis, Improve work efficiency, save costs, and eliminate customer anxiety about battery life and charging time.

Prediction of the Ultraviolet Luminescence Potential of Bi2SeO5: First-Principles Insights

Yining Zhou — 2025-08-11

As a new layered semiconductor material, Bi₂SeO₅ has shown potential in the field of ultraviolet electronic devices in recent years because of its unique crystal structure and wide band gap. In this paper, the crystal structure, electronic structure, and thermodynamic stability of Bi₂SeO₅are studied based on first-principles calculations. The ultraviolet luminescence property of Bi_Se defect is predicated from defect property, which provides theoretical basis for experimental design of high-performance Bi₂SeO₅photoelectric devices.

Innovative Application of Emerging Sensing Technologies in Mechatronics Systems

Jianming Feng — 2025-08-07

With the rapid development of science and technology, new sensing technology has been used increasingly in mechatronics system, for the system of intelligent, automation and efficiency, provide strong support. Emerging sensor technology in electromechanical integration system of innovative applications not only promote the system of intelligent upgrade, also for its wide application in the field of multiple provides a strong support, and along with the advance of technology and application scenario development, emerging sensor technology in electromechanical integration system to play a more important role. In this regard, this paper first expounds the overview of emerging sensing technology, then analyzes the innovation and integration of emerging sensing technology and mechatronics system, and finally further explores the practical application of emerging sensing technology in mechatronics system, in order to provide some reference for relevant researchers.

Real-Time Sound Source Localization Method Based on Selective SRP-PHAT and Vision Fusion

Jinde Huang — 2025-08-07

Aiming at the problem that the traditional SRP-PHAT sound source localization method performs intensive search in a 360-degree space, resulting in high computational complexity and difficulty in meeting real-time requirements, an innovative high-precision sound source localization method is proposed. This method combines the selective SRP-PHAT algorithm with real-time visual analysis. Its core innovations include using face detection to dynamically determine the scanning angle range to achieve visually guided selective scanning, distinguishing face sound sources from background noise through a sound source classification mechanism, and implementing intelligent background orientation selection to ensure comprehensive monitoring of environmental noise. Experimental results show that the method achieves a positioning accuracy of ±5 degrees and a processing speed of more than 10FPS in complex real environments, and its performance is significantly better than the traditional full-angle scanning method.

Optimization of Microgrid Operation Control Strategy under New Energy Integration

Miao Fei — 2025-08-07

With the direct rise of the social demand for renewable energy, as a new type of energy supply model in the new era, the operation control and optimization of microgrid play an important role in solving the problem of resource sharing. Microgrid can realize the flexibility of distributed power supply and the application of high efficiency, solving the problem of a large number and variety of forms of the power grid. Based on this, this paper will discuss the operation control strategy of microgrid based on a new energy grid connection, and provide constructive ideas for high-quality operation of microgrid.

Research on the Construction of an Accounting Knowledge Graph Based on Large Language Model

Yunfeng Wang — 2025-08-07

The article is based on language model, through the cue word engineering and agent thinking method, automatic knowledge extraction, with China accounting standards support to complete the corresponding knowledge map construction. Through the way of extracting the accounting entities and their connections in the pattern layer, the data layer is provided for the fine-tuning and optimization of the large model. Studies found that, through the reasonable application of language model, knowledge can be realized in massive financial data neural five effective extracted tuples, and complete accounting knowledge map construction.

Research on the Selection and Layout Scheme of Main Transformers in the Primary Electrical Design of New Energy Step-Up Stations

Yuekai Liao — 2025-08-07

This paper focuses on the research of the main transformer selection and layout scheme for new energy step-up substations. From the perspective of engineering design, it analyzes the principles of main transformer selection, key parameters, and their matching with the characteristics of new energy. It also explores the layout methods and optimization strategies. Combined with typical case studies, optimization suggestions are proposed for the design of main transformers in new energy step-up substations. The research shows that rational main transformer selection and scientific layout schemes can better adapt to the characteristics of new energy projects while effectively improving land use efficiency and economic viability. This study can provide technical experience support for the design of new energy projects.

New Paradigm of Risk Management Driven by Technological Innovation in the Field of Electric Power Engineering

Runxian Zhou — 2025-08-07

In the field of electric power engineering, due to technological innovation, the evolution of smart grid technology and the access to new energy have changed the system structure, and the characteristics of risks have also evolved. Traditional risk assessment methods and organizational structures are facing challenges. Emerging technologies such as big data and digital twins are applied to risk management. The new paradigm requires the reconstruction of organizational structures and collaborative governance, and involves the construction of a standardized system and ethical norms.

Construction of an Intelligent Early Warning System for a Cloud-Based Laboratory Data Platform under the Medical Consortium Model

Jibiao Zhou — 2025-08-07

With the continuous advancement of the tiered diagnosis and treatment system, the medical consortium model has gained increasing attention as an important approach to promoting the vertical integration of healthcare resources. Within this context, laboratory data, as a key component of healthcare information systems, urgently requires efficient sharing and intelligent analysis. This paper designs and constructs an intelligent early warning system for laboratory data based on a cloud platform tailored to the medical consortium model. Through standardized data formats and unified access interfaces, the system enables the integration and cleaning of laboratory data across multiple healthcare institutions. By combining medical rule sets with machine learning models, the system achieves graded alerts and rapid responses to abnormal key indicators and potential outbreaks of infectious diseases. Practical deployment results demonstrate that the system significantly improves the utilization efficiency of laboratory data, strengthens public health event monitoring, and optimizes inter-institutional collaboration. The paper also discusses challenges encountered during system implementation, such as inconsistent data standards, security and compliance concerns, and model interpretability, and proposes corresponding optimization strategies. These findings provide a reference for the broader application of intelligent medical early warning systems.

Exploration of the Integration Application Path of Information Technology and Computer Software Engineering

Weiming Chen — 2025-08-07

This paper discusses the related contents of the integration application of information technology and computer software engineering. First, it briefly expounds the concepts and integration background of information technology and computer software engineering. Then, it deeply analyzes the application status and significance of the integration application of information technology and computer software engineering in different fields. Finally, it briefly describes the specific application paths of the integration of information technology and computer software engineering, hoping to provide some valuable references for promoting the in-depth integration and development of information technology and computer software engineering.

Application Research of Wireless Sensor Networks and the Internet of Things

Changjian Lv — 2025-08-07

In the context of the rapid iteration of information technology, the Internet of Things (IoT) has established itself as a pivotal hub connecting the digital world and the physical world. Wireless Sensor Networks (WSNs), deeply embedded in the perception layer architecture of the IoT, play a crucial role as “tactile nerve endings.” A vast number of micro sensor nodes are widely distributed in monitoring areas according to preset deployment strategies, continuously and accurately perceiving and collecting real-time data on environmental parameters such as temperature, humidity, light intensity, air pressure, and pollutant concentration. These data are transmitted to the IoT cloud platform through stable and reliable communication links, forming a massive and detailed basic data resource pool. By using cutting-edge big data processing algorithms, machine learning models, and artificial intelligence analysis tools, in-depth mining and intelligent analysis of these multi-source heterogeneous data are conducted to generate high-value-added decision-making bases. This precisely empowers multiple fields, including agriculture, medical and health care, smart home, environmental science, and industrial manufacturing, driving intelligent transformation and catalyzing society to move towards a new stage of high-quality development. This paper comprehensively analyzes the technical cores of the IoT and WSNs, systematically sorts out the advanced key technologies of WSNs and the evolution of their strategic significance in the IoT system, deeply explores the innovative application scenarios and practical effects of the two in specific vertical fields, and looks forward to the technological evolution trends. It provides a detailed and highly practical guiding reference for researchers, technical engineers, and industrial decision-makers.

Research on Software Security Testing Mode Based on Open Network Environment

Xiaoqing Jia — 2025-08-07

Starting with the goal and significance of software security testing, this paper introduces the main methods of software security testing in the open network environment, including formal security testing, white box testing, fuzzy testing, model testing, and fault injection testing. A software security testing method based on a security target model is proposed. This paper provides new ideas for software security testing, better adapts to the open network environment, improves the efficiency and quality of testing, and builds a good software application environment.

Research on Image Perception Technology of Autonomous Driving Vehicles Based on Deep Learning

Guangyin Xiong — 2025-08-07

This paper introduces autonomous driving image perception technology, including deep learning models (such as CNN and RNN) and their applications, analyzing the limitations of traditional algorithms. It elaborates on the shortcomings of Faster R-CNN and YOLO series models, proposes various improvement techniques such as data fusion, attention mechanisms, and model compression, and introduces relevant datasets, evaluation metrics, and testing frameworks to demonstrate the advantages of the improved models.

Study on the Impact of Humidity Control Strategy on Energy Saving Effect of Centralized Central Air Conditioning System

Xiaolian Lin — 2025-08-07

As an indispensable part of modern buildings, centralized central air conditioning systems play an important role in maintaining the comfort and air quality of the indoor environment. However, with the increasing energy consumption, how to improve the energy efficiency ratio of air conditioning systems and reduce energy consumption has become an important issue in research and practice. The purpose of this paper is to discuss the impact of humidity control strategies on energy saving in centralized central air conditioning systems, with a view to providing a theoretical basis and practical guidance for realizing building energy efficiency.

A Study on the Distribution of Remaining Oil in Daqing S, P, and G Oil Layers at Different Flooding Stages

Zhaoming Yang — 2025-08-07

Extensive research has been conducted on remaining oil in the Daqing Oilfield during high water cuts’ late stage, but few studies have offered multi-level analyses from both macro and micro perspectives for remaining oil under varying formation conditions and displacement methods. This article focuses on the remaining oil in the S, P, and G reservoirs of Daqing Oilfield by employing the frozen section analysis method on the cores from the S, P, and G oil layers. The research identifies patterns among them, revealing that the Micro Remaining Oil types in these cores primarily include pore surface thin film, corner, throat, cluster, intergranular adsorption, and particle adsorption. Among these, intergranular adsorption contains the highest amount of remaining oil (the highest proportion reaches 60%) and serves as the main target for development potential. The overall distribution pattern of the Micro Remaining Oil in the S, P, and G oil layers shows that as flooding intensity increases, the amount of free-state remaining oil gradually decreases, while bound-state remaining oil gradually increases. The study also examines eight typical coring wells for macroscopic remaining oil, finding four main types in the reservoir: interlayer difference, interlayer loss, interlayer interference, and injection-production imperfect types. Among these, the injection-production imperfect type has the highest remaining oil content and is the primary target for development potential. Analyzing the reservoir utilization status and oil flooding efficiency reveals that as water flooding intensifies, the oil displacement efficiency of the oil layer gradually decreases, while the efficiency of oil layer displacement improves. Strongly flooded cores exhibit less free-state remaining oil than weakly flooded cores, making displacement more challenging. This study aims to provide a foundation and support for the development of remaining oil in the S, P, and G oil layers.

Application and Innovation of Automotive Electronics Structural Design in Center Console Instruments

Peijie Jia — 2025-08-07

This paper introduces the key design aspects of automotive center console instrument systems, including hardware architecture, ergonomics, antenna layout, etc. It elaborates on the application and advantages of various advanced technologies, such as 3D printing and dual-color injection molding. Additionally, it discusses advancements in structural design, as well as future challenges and the trend of multidisciplinary collaborative innovation.

Temporal SU(1,1) Interferometer Based on Four- Wave Mixing Time Lens and Its Applications in Ultrafast Time-Frequency Manipulation

Tianyu Liu — 2025-08-08

Temporal optics, which enables lossless manipulation of ultrafast pulses, offers a new dimension for the regulation of quantum optical fields. In this paper, we established a temporal Fourier transform (TF) system based on a four-wave mixing (FWM) time lens and constructed a full quantum theoretical model for the resulting temporal SU(1,1) interferometer. This interferometer has high temporal resolution, can impose interference in both time and frequency domains, and is sensitive to the phase derivative. By introducing linear time-varying phase modulation, we achieved sub-picosecond precision in temporal autocorrelation measurements and generated an optical frequency comb with a fixed interval based on a feedback iteration mechanism. Theoretical analysis reveals the crucial regulatory role of time-frequency coupling in quantum interference, providing novel solutions for ultrafast quantum imaging, temporal mode encoding, and the generation of optical frequency quantization.

Research on the Application of Virtual Digital Technology in Landscape Engineering Design

Yifei Han — 2025-08-08

To investigate the application of virtual digital technology in landscape engineering design, the study adopted the enumeration survey method and observation method. It conducted a comprehensive analysis of the current status and existing challenges of virtual digital technology in landscape engineering design. Additionally, the study provided a detailed description and explanation of the integration between virtual digital technology and landscape engineering design, while exploring its characteristics and application prospects. The findings revealed: (1) In the early design stage, technological integration enhanced design efficiency. The collaborative use of BIM, GIS, and parametric tools enabled a fully digital workflow from conceptual design to construction drawings, reducing design errors and shortening project timelines. (2) After implementation, interactive experiences revolutionized public engagement. AR/VR technologies introduced dynamic interactivity to landscapes, while metaverse platforms expanded the presentation dimensions of virtual landscapes. (3) Smart maintenance promoted sustainability. IoT sensors and AI analytics facilitated real-time plant health monitoring and precise resource management, demonstrating significant advantages. The study identified existing limitations and proposed future directions, aiming to provide new theoretical and practical insights for the research and application of digital technology in landscape engineering design.