Journal of Electronic Research and Application

Advanced Technologies for Volatile Organic Compound (VOC) Emission Treatment: An Overview

2024-04-15T10:45:03+08:00

This paper presents a comprehensive overview of various advanced technologies employed in the treatment of volatile organic compounds (VOCs), which are crucial pollutants in industrial emissions. The study explores different methods, including direct combustion, thermal combustion, catalytic combustion, low-temperature plasma purification, photocatalytic purification, membrane separation, and adsorption methods. Each technology is critically analyzed for its operational principles, efficiency, and applicability under different conditions. Special attention is given to adsorption concentration and catalytic combustion parallel method, highlighting its efficiency in treating low-concentration, high-volume VOC emissions. The paper also delves into the advantages and limitations of each method, providing insights into their effectiveness in various industrial scenarios. The study aims to offer a detailed guide for selecting appropriate VOC treatment technologies, contributing to enhanced environmental protection and sustainable industrial practices.

Analysis of the Design and Application of a Novel CT Secondary Cable Line Calibrator

2024-04-10T11:41:49+08:00

With the rapid development of electrical power systems, ensuring the accuracy and reliability of power transmission has become particularly crucial. The secondary cable line calibrator for current transformers (CT) plays an essential role in calibrating electrical power systems. It is not only related to the safe operation of the system but also directly impacts the accuracy of energy metering. This study aims to design and analyze an efficient CT secondary cable line calibrator to explore its application effects in the power system. By thoroughly analyzing the characteristics of CT secondary cable lines and the design requirements of the calibrator, this paper proposes an innovative design scheme for the calibrator. This device demonstrates significant effects in enhancing the accuracy and stability of power system calibration, providing robust technical support for the optimization and upgrade of the power system. This research not only offers a theoretical basis and practical guidance for the design and application of CT secondary cable line calibrators but also contributes new ideas and methods for the precise calibration and efficient management of the power system.

Analysis of Standards Establishment for the Testing of Electrical Appliances

2024-04-15T10:51:25+08:00

As science and technology continue to develop, power equipment has become an indispensable part of industrial production and daily life. Whether it is the precise automation machinery utilized on production lines or the convenient electrical appliances found in households, their functionality relies heavily on electrical technology. Nonetheless, without stringent safety and performance assurances, these devices could potentially endanger lives and property. Thus, this paper explores the development strategy for establishing a standardized system within the electrical testing service industry, aiming to ensure safety and reliability.

Evaluation of Energy Efficiency and Analysis of Influencing Factors of Company CW’s Manufacturing Workshops

2024-04-15T10:41:13+08:00

In this work, the Slacks-Based Measure (SBM) model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops. The energy efficiency of 12 Company CW’s manufacturing workshops from 2016 to 2022 was assessed. The findings indicated that aside from a few workshops operating at the production frontier, the rest exhibit significant fluctuations in energy efficiency and generally low energy efficiency. Subsequently, a combined GRA-Tobit analysis model was introduced to identify factors influencing the energy efficiency of Company CW’s manufacturing workshops. Regression analysis revealed that technological investments, employee quality, workshop production scale, investment in clean energy, and the level of pollution control all significantly impact the energy efficiency of Company CW’s manufacturing workshops. By evaluating the energy efficiency of Company CW’s manufacturing workshops and studying their influencing factors, this research aids company managers in understanding the energy efficiency of the manufacturing process. It optimizes the combination of various production elements, thereby offering effective guidance for improving the energy efficiency issues of the company’s manufacturing workshops, which can contribute to enhancing the corporation’s overall energy efficiency.

Review of Power Supply and Distribution Construction Technology for Highway Electromechanical Engineering

2024-04-06T11:36:48+08:00

In recent years, China has made significant progress in the construction of highways, resulting in an improved
highway network that has provided robust support for economic and social development. However, the rapid expansion of highway construction, power supply, and distribution has led to several challenges in mechanical and electrical engineering technology. Ensuring the safe, stable, and cost-effective operation of the power supply and distribution system to meet the diverse requirements of highway operations has become a pressing issue. This article takes an example of a highway electromechanical engineering power supply and distribution construction project to provide insight into the construction process of highway electromechanical engineering power supply and distribution technology.

Congestion Control Algorithms for the Internet – A Secondary Publication

2024-04-06T11:37:17+08:00

In the last five years, there has been a V-shaped recovery in the number of papers on congestion control
algorithms on the Internet. In this paper, congestion problems on the Internet are discussed, such as congestion collapse and bufferbloat from the perspective of the necessity of congestion control algorithms. The typical congestion control algorithms are introduced, and the research areas and methods of congestion control algorithms are described. Recent research trends and future prospects of congestion control algorithms are also presented.

A Review of the Status and Development Strategies of Computer Science and Technology Under the Background of Big Data

2024-04-15T10:37:37+08:00

This article discusses the current status and development strategies of computer science and technology in the context of big data. Firstly, it explains the relationship between big data and computer science and technology, focusing on analyzing the current application status of computer science and technology in big data, including data storage, data processing, and data analysis. Then, it proposes development strategies for big data processing. Computer science and technology play a vital role in big data processing by providing strong technical support.

Analysis of Quenching Resistor Effect to Improve Stability of TIA Circuit for APD – A Secondary Publication

2024-04-15T10:42:40+08:00

In this paper, since the Avalanche Photo Diode (APD) for Light-to-Voltage LTV conversion uses a high voltage in the operating range unlike other Photo Diodes (PD), the quenching resistor must be connected in series to prevent overcurrent when using the Transimpedance Amplifier (TIA). In such a case, quenching resistance may affect the transfer function of the TIA circuit, resulting in serious stability. Therefore, in this paper, by analyzing the effect of APD quenching resistance on the voltage and current loop transfer function of TIA, we proposed a loop analysis and a method for determining the quenching resistance value to improve stability. A TIA circuit with quenching resistance was designed by the proposed method and its operational stability was verified through simulation and chip fabrication.

Analysis of the Design and Implementation of a GIS System Incorporating Intelligent Recognition Models

2024-04-15T10:52:14+08:00

The rapid economic growth, urbanization, and industrialization have led to a scarcity of land resources in coastal areas, exacerbating the conflict between humans and the environment. In order to promote economic development, attention has turned to the sea, and various coastal engineering projects have been undertaken, sparking a wave of land reclamation. However, while these efforts bring economic and social benefits, they also have implications for ecological relationships. To respond to and plan for changes in the coastline and land cover in a timely manner, this paper proposes and constructs a GIS system that integrates remote sensing image recognition models. The system combines geographic information system development technology with image recognition technology, streamlining the processing and identification of image data. This approach is particularly advantageous for marine management departments in their long-term monitoring and dynamic management of coastal lines, ensuring a more effective and efficient response.

Research on the Construction of Group Elderly Care Service Platform Based on IoT Technology

2024-04-15T10:39:39+08:00

Internet of Things (IoT) technology is widely used in various fields, and its application in elderly care services has been highlighted in recent years. This study aims to explore how IoT technology can improve the efficiency of group-based elderly care services. The concept, characteristics, and current application status of IoT technology in elderly care services were introduced. Secondly, the characteristics and needs of group elderly care services were analyzed, including advantages and challenges, as well as the expectations and needs of the elderly for elderly care services. The evaluation methods and future development directions of IoT technology in improving the efficiency of group elderly care services were discussed, including data collection and analysis methods, selection and measurement of efficiency evaluation indicators, challenges, and development directions.

Research on the Reform of Practical Teaching of Internet of Things Engineering in the Context of New Engineering

2024-04-15T10:38:32+08:00

The emergence of new engineering disciplines has resulted in the growing trend of cross-discipline, and the enhancement of students’ technical application ability has become the main teaching objective of engineering disciplines. For this reason, the Internet of Things (IoT) engineering program should be actively reformed, providing students with sufficient opportunities to improve their practical skills. This paper identifies the challenges within practical teaching of IoT engineering, delves into effective strategies for practical IoT teaching within the context of emerging engineering disciplines, and presents practical teaching experiences from the School of Information Engineering at Hainan University of Science and Technology as a case study. The aim is to offer guidance and insights to educators in this field.

Model Predictive Control for Cascaded H-Bridge PV Inverter with Capacitor Voltage Balance

2024-04-15T10:53:31+08:00

We designed an improved direct-current capacitor voltage balancing control model predictive control (MPC) for single-phase cascaded H-bridge multilevel photovoltaic (PV) inverters. Compared with conventional voltage balancing control methods, the method proposed could make the PV strings of each submodule operate at their maximum power point by independent capacitor voltage control. Besides, the predicted and reference value of the grid-connected current was obtained according to the maximum power output of the maximum power point tracking. A cost function was constructed to achieve the high-precision grid-connected control of the CHB inverter. Finally, the effectiveness of the proposed control method was verified through a semi-physical simulation platform with three submodules.

Research on Silicon Carbide Dispersion-Reinforced Hypereutectic Aluminum-Silicon Electronic Packaging Materials

2024-04-15T10:44:07+08:00

The objective of this study is to improve the mechanical properties and machining performance of high thermal conductivity and low expansion silicon carbide dispersion-strengthened hypereutectic aluminum-silicon electronic packaging materials to meet the needs of aviation, aerospace, and electronic packaging fields. We used the powder metallurgy method and high-temperature hot pressing technology to prepare SiC/Al-Si composite materials with different SiC contents (5vol%, 10vol%, 15vol%, and 20vol%). The results showed that as the SiC content increased, the tensile strength of the composite material first increased and then decreased. The tensile strength was the highest when the SiC content was 15%; the sintering temperature significantly affected the composite material’s structural density and mechanical properties. Findings indicated 700 ℃ was the optimal sintering and the optimal SiC content of SiC/Al-Si composite materials was between 10% and 15%. Besides, the sintering temperature should be strictly controlled to improve the material’s structural density and mechanical properties.

Research and Application of AI-Based Interactive Exhibits in Wuhan Museum of Science and Technology

2024-04-16T09:40:38+08:00

This article aims to explore the development and application of AI-based interactive exhibits in Wuhan Museum of Science and Technology. By utilizing computer vision, natural language processing, and machine learning technologies, an innovative exhibit development and application system is proposed. This system employs deep learning algorithms and data analysis methods to achieve real-time perception of visitor behavior and adaptive interaction. The development process involves designing user interfaces and interaction methods to effectively enhance visitor engagement and learning outcomes. Through evaluation and comparison in practical applications, the potential of this system in enhancing exhibit interaction, increasing visitor engagement, improving educational effectiveness, and expanding avenues for scientific knowledge dissemination are validated.

Research on Dynamic Graphic Features in Digital Media Interfaces

2024-04-15T10:47:27+08:00

In digital media interfaces, dynamic graphics integrate elements of animation design, graphic design, and cinematic language, presenting in various forms and demonstrating significant inclusivity. From the perspective of visual cognition, by capturing dynamic graphics within the interface, three-dimensional information such as time and space is acquired, and the cognition process exhibits characteristics of spatial and temporal correlation. In terms of information cognition, dynamic representation fragments information, resulting in a sense of discontinuity and intermittent memory. The efficiency of information cognition and transmission is enhanced through the coordination of audio, video, and other elements. In aesthetic perception, with the rise of Internet culture, people’s aesthetic perceptions towards dynamic graphic design have evolved, showcasing a generalization of form and the instantaneous nature of content. Technically, the complexity of design and the diversity of applications have established dynamic graphics as a typical design style label in digital media interfaces.

Time Predictable Modeling Method for GPU Architecture with SIMT and Cache Miss Awareness

2024-04-15T10:48:58+08:00

Graphics Processing Units (GPUs) are used to accelerate computing-intensive tasks, such as neural networks, data analysis, high-performance computing, etc. In the past decade or so, researchers have done a lot of work on GPU architecture and proposed a variety of theories and methods to study the microarchitectural characteristics of various GPUs. In this study, the GPU serves as a co-processor and works together with the CPU in an embedded real-time system to handle computationally intensive tasks. It models the architecture of the GPU and further considers it based on some excellent work. The SIMT mechanism and Cache-miss situation provide a more detailed analysis of the GPU architecture. In order to verify the GPU architecture model proposed in this article, 10 GPU kernel_task and an Nvidia GPU device were used to perform experiments. The experimental results showed that the minimum error between the kernel task execution time predicted by the GPU architecture model proposed in this article and the actual measured kernel task execution time was 3.80%, and the maximum error was 8.30%.

Predictive Control Model Based on the MPC Algorithm on Three Different Road Sections

2024-04-16T09:41:50+08:00

Predictive control is an advanced control algorithm, which is widely used in industrial process control. Among them, model predictive control (MPC) is an important branch of predictive control. Its basic principle is to use the system model to predict future behavior and determine the current control action by optimizing the objective function. This paper discusses the application of MPC in the prediction and control of the speed of vehicles to optimize traffic flow. It is a valuable reference for alleviating traffic congestion and improving travel efficiency and smoothness and provides scientific basis and technical support for future highway traffic management.

Implicit Modality Mining: An End-to-End Method for Multimodal Information Extraction

2024-04-16T11:41:30+08:00

Multimodal named entity recognition (MNER) and relation extraction (MRE) are key in social media analysis
but face challenges like inefficient visual processing and non-optimal modality interaction. (1) Heavy visual embedding: the process of visual embedding is both time and computationally expensive due to the prerequisite extraction of explicit visual cues from the original image before input into the multimodal model. Consequently, these approaches cannot achieve efficient online reasoning; (2) suboptimal interaction handling: the prevalent method of managing interaction between different modalities typically relies on the alternation of self-attention and cross-attention mechanisms or excessive dependence on the gating mechanism. This explicit modeling method may fail to capture some nuanced relations between image and text, ultimately undermining the model’s capability to extract optimal information. To address these challenges, we introduce Implicit Modality Mining (IMM), a novel end-to-end framework for fine-grained image-text correlation without heavy visual embedders. IMM uses an Implicit Semantic Alignment module with a Transformer for cross-modal clues and an Insert-Activation module to effectively utilize these clues. Our approach achieves state-of-the-art
performance on three datasets.

Analysis of the Current Situation, Influential Factors, and Countermeasures of Rural E-commerce Development

2024-04-17T12:08:05+08:00

The development of rural e-commerce is becoming an important driver for the transformation of China’s rural economy, and with the rapid development of information technology and the upgrading of the agricultural industry, rural e-commerce is showing a vigorous momentum of development. Traditionally, agricultural products are mainly sold through traditional farmers’ markets, which are subjected to geography and channel limitations, resulting in inefficient circulation of agricultural products. This paper analyzes the definition, the status quo, as well as the influencing factors of rural e-commerce development. On this basis, countermeasures for the advancement of rural e-commerce development are put forward.

Research on X-by-Wire Chassis Technology for Intelligent Driving of New Energy Vehicles

2024-04-17T08:42:16+08:00

As China’s economy develops, new energy technologies and intelligent driving have become a trend in the automobile industry. The development of new energy vehicles has accelerated, with X-by-wire chassis technology becoming the core technology for intelligent driving. This technology includes steer-, brake-, shift-, and throttle-by-wire systems. It is not only the key technology for new energy vehicles but also an important support for promoting their sustainable development. This article presents an in-depth study on X-by-wire chassis technology in new energy vehicles and its basic working principle.

Designing an Experimental Device for Swinging Excitation Spray Cooling

2024-04-16T15:40:15+08:00

In this paper, we introduce the design principle of the oscillating excited spray cooling experimental device. We then designed an oscillating excited spray cooling experimental device. By using the device, the swaying motion can be realized through the control system, and the motion of the droplet under different vibration frequencies can be observed. By measuring the liquid flow rate and pressure, the changes in liquid flow rate, pressure, and temperature with time under different vibration frequencies were studied. The trajectory of the droplet and the temperature distribution of the droplet under different vibration frequencies could be observed. The device has a simple structure, is easy to control, and can achieve continuous observation of the spray cooling process.

BeFOI: A Novel Method Based on Conditional Diffusion Model for Medical Image Denoising

2024-04-16T09:49:30+08:00

The progress in medical imaging technology highlights the importance of image quality for effective diagnosis and treatment. Yet, noise during capture and transmission can compromise image accuracy and reliability, complicating clinical decisions. The rising interest in diffusion models has led to their exploration of denoising images. We present Be-FOI (Better Fluoro Images), a weakly supervised model that uses cine images to denoise fluoroscopic images, both DR types. Trained through precise noise estimation and simulation, BeFOI employs Markov chains to denoise using only the fluoroscopic image as guidance. Our tests show that BeFOI outperforms other methods, reducing noise and enhancing clarity and diagnostic utility, making it an effective post-processing tool for medical images.