All of the articles in this proceedings volume have been presented at the [ICMEEA] during [5.16-5.18, 2025] in [Toronto, Canada]. These articles have been peer reviewed by the members of the [Scientific Committee] and approved by the Editor-in-Chief, who affirms that this document is a truthful description...

Multi-sensor fusion technology, by integrating data from multiple sensors, enhances the system’s perception accuracy, reliability, and real-time performance, making multi-sensor fusion technology widely applicable across various fields. With the advancement of artificial intelligence, the Internet of...

With the development of autonomous driving technology, autonomous vehicle navigation in complex environments has become a key challenge. To cope with the difficulties in complex environments, multi-sensor fusion technology comes into being, which is of great significance for improving transportation...

The problem of path planning and control of autonomous mobile robots (AMRs) in dynamic environments is an important factor limiting their performance. Among them, the lack of environmental information has a direct impact on path planning. The control algorithms are mostly limited to the real-time adjustment...

Single-phase Pulse Width Modulation (PWM) rectifiers are widely utilized in electrified railway systems and other power equipment. Yet, Single-phase PWM rectifiers generate low harmonics during operation, which leads to additional losses in power equipment and affects the grid quality seriously. The...

With the increasing dominance of photovoltaic power generation in renewable energy, non-isolated three-level photovoltaic grid-connected inverters are widely used. However, due to their topology and the existence of parasitic capacitors, inverters can cause leakage current problems, which can cause grid...

Virtual synchronous generator (VSG) is one of the key technologies in the context of energy transition. VSG can simulate the operation mechanism of a synchronous generator, so that the new clean energy power generation device can actively support the power grid, thus promoting the energy transition and...

With the widespread application of wind power grid connection technology, the issue of voltage stability in the power system is becoming increasingly prominent. The fluctuation output and wind speed changes of wind turbines pose significant challenges to the grid voltage, and how to improve voltage stability...

Z-source Inverter (ZSI) is widely used in renewable energy, electric vehicle charging systems, and other fields because of its voltage boost ability and good decoupling characteristics. However, ZSI is prone to problems such as Direct Current (DC) link voltage fluctuation and output current harmonics...

As smart grid technology and distributed photovoltaic power generation continue to advance rapidly, their integrated and coordinated use is emerging as a key focus for optimizing future power systems. However, how to optimize energy storage technology on the basis of ensuring load balance is still a...

Rogowski coil is a kind of high-precision current measuring tool, mainly used to measure Alternating Current (AC). It has been widely used in power systems, electronic equipment monitoring, and high current measurement. This paper systematically reviews the existing types of Rogowski coils. There are...

The traditional current measurement technology faces issues such as slow response speed and bandwidth limitations in high-frequency signal measurements. The Rogowski coil, with its wide bandwidth response characteristics, is a reliable tool for high-frequency current measurement. This article aims to...

Modular multi-level converter (MMC) has become an important technology for high-voltage flexible DC power transmission due to its modularity, scalability, and high-quality voltage quality, and has shown its wide application prospects in a large number of fields. Although research has focused on its harmonic...

Multilevel converters (MLCs) have been widely applied in fields such as high-voltage direct current (HVDC) transmission, electric vehicles, and wind power generation due to their advantages in improving power quality, reducing harmonics, and high-power applications. However, due to the influence of switching...

Z-source inverters (ZSI) have been widely used in photovoltaic grid-connected applications because of their high efficiency and low cost. However, due to the lack of electrical isolation, such inverters are prone to leakage current (LC), affecting the safety and stability of the system. This paper reviews...

Smartphones become increasingly versatile, positioning services are present in all aspects of our lives. However, the positioning services of most mobile phones are limited to outdoor environments, and the positioning in indoor environments is often not accurate enough. This article mainly explores the...

With the acceleration of urban construction and the paving of structured roads, lane-level navigation has emerged to provide drivers with detailed road scene information and accurate guidance. This paper discusses the principles and current research status of the key technologies of the two components,...

Drones have gradually become an essential aerial vehicle in contemporary human life, so finding a suitable control method has become a research direction for scientists. Simultaneous Localisation and Map Building (SLAM) technology is considered to be a big hit technology in the future drone control field,...

With the wide application of UAV technology in several fields, the accuracy and reliability of the sensed data become critical. Therefore, this paper aims to explore the current status of the application of key filtering algorithms in the field of UAVs. This paper firstly introduces the development history...

This thesis focuses on path planning for driverless vehicles and discusses various path algorithms in depth. Driverless vehicles need path algorithms that can plan the optimal route from the starting point to the endpoint for the vehicle based on the map and the destination, taking into account the traffic...

With the rapid advancement of unmanned aerial vehicle (UAV) technology, the limitations of traditional Global Positioning System (GPS) in complex low-altitude environments have become increasingly apparent, driving research demands for vision-based navigation technologies. This paper systematically investigates...

Intelligent path planning algorithms have emerged in the present time of rapid technological development, and intelligent path planning algorithms play an important role in enhancing the operational efficiency and intelligence of robots, vehicles and other moving entities. Among them, A* and Rapidly...

Coupled nonlinear muscle control and non-tracking control have become key research focuses in recent years as effective control solutions for coupled nonlinear systems. Equilibrium Point Control (EPC) as a non-tracking controller based on Particle balance theory has a wide range of application prospects....

With the high-speed development of the intelligent vehicle industry, people’s requirements for transportation efficiency and transportation safety are also increasing. In-vehicle navigation technology can assist drivers to complete driving tasks safely and efficiently, which is the focus of current research....

Swarm intelligence (SI), a nature-inspired distributed computational approach, has emerged as a promising solution within the domain of cooperative driving. This research paper investigates the theoretical foundations and practical implementations of classical swarm intelligence algorithms, focusing...

With the rapid development of technology, life and travel have become more convenient. However, current navigation systems have limited functions, and visually impaired people still face difficulties in traveling. To address this issue and provide a convenient living environment for the visually impaired,...

With the rapid development of mobile robot technology, dynamic decision-making and path planning of robots in complex dynamic environments have become a current research hotspot. Due to its advantages in handling dynamic environments, the Q-learning algorithm in deep reinforcement learning has been widely...

The advent of autonomous driving technology represents a significant milestone in the evolution of the transport industry. This innovation has profoundly changed the way of travelling and, in certain instances, improved road safety, while at the same time fostering the development and innovation of associated...

This study examines the simulation techniques for renewable energy generation, with a focus on the Maximum Power Point Tracking (MPPT) algorithms in photovoltaic (PV) systems and the simulation models of Doubly-Fed Induction Generators (DFIG) in wind power systems. The research reveals that optimized...

This paper provides a comprehensive exploration of Unmanned Aerial Vehicles (UAV) system architecture, focusing on the synergistic interplay between hardware and software components. The hardware system, comprising subsystems such as the aircraft platform, flight control, inertial navigation, information...

The traditional method of license plate recognition has good recognition for objects in a relatively fixed position and objects with good lighting conditions, while it exhibits low robustness when dealing with varying light conditions and recognizing moving vehicles. In order to be able to accurately...

Lithium-ion batteries are pivotal in modern energy storage systems due to their high energy density and longevity, where accurate state-of-charge (SOC) estimation is critical for ensuring safe and efficient battery management. This paper reviews advancements in Kalman Filter (KF)-based SOC estimation...

This paper summarizes and discusses the electronic control technology and mechanical structure technology involved in the development and design of AGV (Automated Guided Vehicle), a branch of the rapidly developing robotic technology, and prospects its future development based on the progress and trends...

Unmanned driving has attracted much attention due to its high efficiency, environmental protection, safety and other attributes, and has become a strategic hotspot at home and abroad. However, its intelligent control technology still faces two difficulties: on the one hand, there is a lack of a systematic...

In the era of rapid development of intelligent transportation systems (ITS), the ability to accurately recognize text in traffic scene imagery is of utmost significance. Traffic signs, license plates, and road information in these images are crucial for traffic management, law enforcement, and navigation....

In this study, the latest research progress in the field of motion control of quadruped bionic robots is systematically reviewed, with emphasis on the key technologies such as dynamic modeling, multi-modal motion control algorithm, gait planning and stability optimization and so on. It is found that...

In today’s rapidly developing industrial sector, mechanical equipment is also more and more biased towards automation, intelligence. In the process of industrial production, mechanical equipment will inevitably have some failure problems. In view of the traditional manual diagnosis of faults may be excessive...

In contemporary society, the growing emphasis on quality of life has underscored the importance of a reliable hot water supply. In this paper, we compare the performance of home water heaters controlled by traditional proportion integration differentiation (PID) methods with those controlled by fuzzy...

The integration of digital signal processing (DSP) techniques into smart grids has greatly improved power quality detection, fault diagnosis, and system stability. This paper examines the use of DSP methods such as digital low-pass filters, adaptive filters, Kalman filtering, wavelet transform, sparse...

This paper systematically discusses the technical basis and optimization methods of GPU-accelerated image processing, focusing on the analysis of GPU architectural features and CUDA and OpenCL parallel computing platforms. It also covers GPU optimization methods in image defogging and enhancement, frequency...

With the expansion of image processing application scenarios and the diversification of image processing demands across different fields, Field-Programmable Gate Array (FPGA)-based hardware acceleration technology has become an effective solution to overcome the limitations of traditional software implementations....

Due to the widespread implementation of UART (Universal Asynchronous Receiver-Transmitter), the data transmission speed has become a significant challenge, especially in applications requiring high performance. Improving the speed of UART communication is crucial to meet the growing demands of modern...

Convolutional neural networks (CNNs) have become widely used in a variety of application scenarios due to the rapid development of deep learning and artificial intelligence technologies. However, traditional general-purpose processors face performance bottlenecks when dealing with large-scale convolutional...

The Transformer model holds a pivotal position in NLP (natural language processing), demonstrating significant advantages in text generation tasks. This paper explores its applications and recent advances across domains. First, multimodal and syntax-controlled text generation approaches are introduced....

The two-stage Complementary Metal Oxide Semiconductor (CMOS) amplifier features high gain, low power consumption and excellent stability, playing an irreplaceable role in modern communication, audio processing and other fields. This paper designs and analyses a CMOS two-stage amplifier that meets specific...

Convolutional Neural Networks (CNNs) are widely used in deep learning because of the power of convolutional operations. However, the convolutional layer often becomes a performance bottleneck when performing complex computations, especially in resource-constrained environments. To address this problem,...

With the fast development of the Industry 4.0 program and the increasing popularity of high-level automation, the need for the identification and monitoring of industrial instruments grows as well. Convolutional neural networks can provide the precision and accuracy required for monitoring and recognition...

With the rapid advancement of smart homes and assistive care technologies, the application scope of domestic service robots in daily life has been continuously expanding. To ensure these robots can efficiently execute tasks and adapt to complex environments, their autonomous navigation capabilities have...

Fatigue driving poses a significant threat to road safety, and monitoring driver alertness is essential for preventing accidents. This paper explores fatigue driving monitoring technology using facial recognition, which relies on non-contact visual analysis to detect fatigue based on key facial features...

Traditional static arbiters cannot cope with scenarios with large fluctuations in resource demand, especially in multilateral bus systems and network switching. In recent years, evolutionary arbiter (EVOA) based on evolutionary algorithms provides a flexible and efficient resource scheduling mechanism...

This paper investigates the critical applications of Artificial Intelligence (AI) in the back-end design of digital integrated circuits, with a specific focus on logic synthesis, placement and routing, and clock tree synthesis (CTS). As the integration density of digital circuits increases and process...

With the rapid advancement of artificial intelligence (AI), its application in intelligent driving has emerged as a key research focus, offering significant potential for enhancing vehicle autonomy, safety, and efficiency. This paper provides a comprehensive analysis of various AI technologies and their...

With the rapid advancement of mobile robotics, vision-based target tracking has shown great potential in intelligent warehousing, service robotics, and autonomous driving. As a key technology for autonomous navigation and environmental interaction, target tracking plays a crucial role in enhancing the...

Mobile robot path planning is a key technology in the field of intelligent robotics, and its performance directly affects the autonomy and reliability of robots in dynamic environments. Traditional algorithms rely on accurate environment modelling, which makes it difficult to cope with real-time changes...

Agriculture is one of the basic industries that human beings rely on for their survival, providing the necessary food as well as other kinds of products for people’s survival. It is not only the basic pillar of economic development but also provides employment and income opportunities for countless people....

With the increasing prevalence of epidemic respiratory diseases and lung cancer in recent years, intelligent diagnostic technologies based on chest X-ray (CXR) image recognition have become a research focus. The breakthrough development of deep learning has provided a new paradigm for automatic CXR image...

With the rapid development of automotive systems toward electrification and intelligence, fault diagnosis faces unprecedented complexity. Traditional rule-based methods struggle to address dynamic and multimodal faults in modern vehicles. Deep learning (DL) technology has revolutionized fault diagnosis...

As an important tool for ocean exploration and development, underwater robotics is more efficient, safer, and more reliable than human labor. In recent years, the development of marine resources has played an important role in various fields. However, the development of underwater robots is limited by...

Intelligent driving has been popular research in automotive high-tech in recent years, and some researchers have found that machine vision plays an important role in environment detection and other contents of intelligent driving technology, however, there is a lack of unified cognition for the specific...

With the development of contemporary machinery and the automation industry, intelligent systems have been continuously applied in the production of products. As an important pillar of intelligent systems, machine vision, and sensor fusion technology cannot be dispensed in the process of product inspection....

This paper focuses on the stability of landing gear systems for quadrotor UAVs. As drones are increasingly deployed across diverse applications including precision agriculture, emergency logistics, and infrastructure inspection, landing gear stability becomes critical to ensuring safe and reliable operation...

This system, centered on the YOLOv8 algorithm and designed for UAV platforms, enables efficient identification and positioning of small-sized, long-distance targets in high-altitude environments, with broad applicability in military reconnaissance, civilian inspections, disaster relief, and other scenarios....

The water rescue operations have always faced numerous challenges, such as complex environments and long response times, while the emergence of intelligent UAV systems has brought new opportunities for water rescue. This article reviews the technologies and applications of intelligent UAV systems in...

Nowadays, unmanned aerial vehicles (UAVs), commonly referred to as drones, have attracted a lot of attention from varies fields. In the development of recent years, one of the most noticeable developments is the application of computer vision in drones, which provides key technologies for visual navigation,...

The purpose of this study is to construct an improved forest fire detection model to improve the accuracy and real-time performance of UAV fire detection in forest environment. By introducing MobileNetv3 into YOLOv7 as the backbone network, its lightweight and efficient feature extraction capabilities...

With the rapid development of intelligent manufacturing, robotic shaft hole assembly is a key link in the manufacturing industry; its accuracy and efficiency are crucial to product quality and production efficiency. Vision-based robotic shaft hole gap assembly technology has become an important means...

In recent years, with the rapid development of artificial intelligence technology and deep learning technology, convolutional neural network has made a major breakthrough in the field of image recognition, and has become the mainstream method in this field. In this paper, the image recognition methods...

The application of machine vision in autonomous vehicles has become a focal point of innovation, integrating advanced sensors and sophisticated image processing algorithms to redefine driving safety and comfort. High-definition cameras, 3D LiDAR, high-precision radars, and ultrasonic detectors are at...

Deep learning (DL)-driven target detection techniques are one of the key topics in today’s research. The target detection algorithms have been updated along with researchers’ continuous updating of target detection model libraries and datasets in recent years. However, there is a lack of knowledge about...

An asynchronous First-In-First-Out (FIFO) is a fundamental data storage and buffering mechanism designed to operate across different clock domains, where the read and write operations are driven by separate, and asynchronous clock sources. This characteristic makes asynchronous FIFOs an essential component...

As the automotive manufacturing industry moves towards high precision, high efficiency, and intelligence, welding technology plays a crucial role in enhancing the structural strength, manufacturing accuracy, and production efficiency of vehicle bodies. To meet the development demands of intelligent manufacturing,...

In the context of the rapid development of intelligent manufacturing, industrial robots represented by intelligent welding robots are being increasingly applied in production. However, with the continuous improvement of manufacturing precision requirements, welding robots face more stringent challenges...

The frequent occurrence of natural disasters has seriously affected human survival and development. As well as the rapid development of artificial intelligence vision technology provides a new solution to solve the natural disaster challenges. This paper systematically reviews the progress of research...

In recent years, convolutional neural networks (CNNs) have achieved groundbreaking progress in the field of computer vision. However, the computational complexity and storage requirements of CNN models pose significant challenges for deployment on embedded systems and edge devices, with traditional CNN...

With the rapid development of computer vision technology, Scene Text Recognition (STR) in complex scenarios has become a critical technology in intelligent security, autonomous driving, augmented reality, and related fields. However, traditional Optical Character Recognition (OCR) methods show inherent...

Cyclic Redundancy Check (CRC) is widely used for error detection in communications. As data transfer rates increase, traditional serial CRC algorithms face performance bottlenecks, making it difficult to meet high-speed transmission needs. To address this, researchers have turned to parallel CRC computation,...

As a matter of fact, the cryptocurrency market attracts plenty of investors on account of its ultra-high volatility. To realize accurate prediction of the price for cryptocurrency, lots of state-of-art machine learning scenarios are applied. With this in mind, this study explores deep learning’s role...

With the rapid development of edge computing, the deployment of convolutional neural networks (CNNs) on edge devices has become increasingly necessary to meet the demand for intelligent applications. However, edge devices are often constrained by limited computing resources, storage capacity, and strict...

Human presence sensing is essential for enabling intelligent and adaptive control in smart home systems. Traditional single-sensor approaches, such as passive infrared (PIR), millimeter-wave radar, and ambient light sensors, often suffer from specific limitations, including poor performance in detecting...

Under the dual driving forces of deep penetration in Internet of Things technologies and iterative upgrades in user demands for environmental quality, intelligent temperature control systems have emerged as a critical platform for energy optimization in modern buildings. To address prevalent issues in...

This paper proposes a design for an automated temperature-controlled wardrobe system that integrates multifunctional features to enhance smart home experiences. Beyond basic temperature regulation and organized clothing storage, the system provides tailored daily outfit recommendations based on real-time...

The automotive suspension system is crucial for vehicle comfort, handling, and safety across diverse road conditions. Its design and performance directly influence the driving experience and vehicle durability. With the automotive industry’s continuous evolution, assessing the fatigue life of suspension...

This study adapts a nonlinear dynamic predictive model for quadrotor UAV trajectory tracking; which involves translational and rotational motions, the gravitational contribution and gyroscopic impact. In this implementation, Initially construct the mathematical model of UAV dynamics, then derive the...

With the development of UAV technology and low-altitude economy, path planning is an important link for UAVs to perform tasks in urban mission space. In urban environments, UAVs face many challenges, such as complex building layouts, large amounts of green belts and so on. RRT (rapidly exploring random...

Unmanned Aerial Vehicles (UAVs) are extensively utilized in both civilian and military sectors; yet, conventional UAV control algorithms encounter efficiency limitations in complicated situations. This research proposes a BCI-based UAV control system to enhance UAV control efficiency. This design system...

Marine resources are an important wealth for mankind. The development and application of underwater robots capable of efficiently performing various underwater tasks are of great importance for the exploration and utilization of resources. Motion control and path planning technologies are the core technologies...

In today’s society, with the vigorous development of various undertakings, drones have been widely applied in numerous industry fields. This trend has driven the rapid evolution of drone systems to adapt to diverse application scenarios. However, existing technologies and systems have some minor issues...

With the advancement of the industrial intelligence process, as the core link to ensure the structural safety of major projects, the demand for precision and efficiency of weld quality inspection is increasing. Recently, the breakthrough progress of deep learning technology has promoted the strategic...

The recent development of autonomous driving has been obvious to all showcasing its potential to revolutionize the transportation industry. Central to this transformation is artificial intelligence (AI), which serves as the driving force behind the development of safe, efficient, and reliable autonomous...

FIFO has been widely used in various data transmission systems due to its ability to temporarily store and manage data efficiently. In modern digital systems, ensuring efficient and reliable data transfer between components operating at different clock domains is a critical challenge. Asynchronous FIFO...

Portable low-power design has gained increasing significance due to user demands for fragmented usage scenarios and the pursuit of energy efficiency, environmental sustainability, and extended battery life. The two-stage operational amplifier (OPAMP) circuit, characterized by high gain, low power consumption,...

Brain-computer interface (BCI) technology realizes human-computer interaction through direct analysis of neural signals, and has strong application potential in the field of medical rehabilitation and intelligent equipment. However, the high power consumption characteristics of traditional front-end...

This paper presents the design and simulation of a two-stage CMOS operational amplifier tailored for bandgap reference applications. The proposed architecture comprises a differential input stage, a high-gain amplification stage, and a Miller compensation network to ensure high DC gain, low power dissipation,...

The quick transient response technology of low-voltage differential linear voltage regulators (LDO) has emerged as a research hotspot due to the growing need for dynamic power management in 5G and IoT devices. This article reviews three advanced LDO designs: 1)The dynamic high-impedance charge pump LDO,...

In the design of analogue integrated circuit, layout optimization is essential for achieving higher performance, reliability, and yield. The study presents a comprehensive comparation of two dominant layout techniques, which are common-centroid and interdigitated, applied to the optimization of two-stage...

This study investigates advanced operational amplifier (op-amp) architectures for gain enhancement, focusing on cascode, two-stage, and three-stage configurations in high-performance circuits. The cascode op-amp combines the high gain of common-source amplifiers with the wide bandwidth and low output...

In recent years, the increasing emphasis on personal health monitoring has accelerated the development of wearable medical devices, with notable trends toward miniaturization, user-friendliness, and intelligent features. As a vital bioelectrical signal indicative of cardiovascular diseases and other...

Earthquakes are among the most devastating natural disasters, causing significant loss of life and property. The development of precise seismic monitoring instruments, such as seismic collection stations, is crucial for early earthquake detection and warning systems. These stations, based on IoT technology,...

The nerve stimulator is an important circuit component that regulates or blocks neural signals by outputting specific electrical pulses.With the continuous development of neural stimulators, they have been widely applied in various fields.Especially in the medical field, more and more diseases can be...

The application of deep learning algorithms to welding defect detection has advanced rapidly in recent years within domestic and international research communities. This paper reviews the developmental trajectory of deep learning technologies and the evolutionary improvements of the You Only Look Once...