All of the articles in this proceedings volume have been presented at the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT2025) during November 7 to 9, 2025 in Kuala Lumpur, Malaysia. These articles have been peer reviewed by the members of the Scientific Committee...

As the requirements for component performance in extreme service environments, such as aerospace and defense equipment, become increasingly stringent, the limitations of traditional manufacturing processes in complex structure integration and performance optimization have become more apparent. 3D printing...

In recent years, with the rapid development of additive manufacturing technology, the design and manufacture of self-supporting structures have entered a brand-new stage, which significantly reduces the dependence on support materials through the layer-by-layer molding characteristics, opening up a new...

The rapid development of intelligent manufacturing has propelled the widespread application of 3D printing technology across various fields. Meanwhile, the automatic temperature control technology, as a crucial factor in ensuring the quality of 3D printing, has garnered extensive attention. This paper...

Recent advancements in multi-axis printing and composite materials have shown promise in addressing these issues, but systematic studies on the synergistic effects of material enhancement and chunking optimization remain scarce. Therefore, this research aims to bridge this gap by integrating high-performance...

This article reviews the way adaptive slicing improves quality. Efficiency and strength in 3D printing research at the current stage. This article also reviews the way of adaptive slicing to reduce support research, such as using adaptive slicing to adjust the layer thickness of each print layer. This...

With the swift advancement of Industry 4.0, 3D printing is increasingly being applied across various industries, and its status is continually rising. However, many 3D printing technologies have problems of insufficient printing success rate and unstable printing quality. Enhancing the degree of automation...

This article reviews the current research status of the large-scale part-slicing printing technology. With the rapid development of 3D printing technology, its applications in manufacturing, healthcare, construction and other fields have become increasingly widespread. However, the build volume of the...

This article focuses on the current research status of the application of nanomaterials in 3D printing. Based on existing literature, it deeply analyzes the key mechanisms of nanomaterials such as nanometals, nanoceramics, and nanopolymers in enhancing the strength, functionality such as electrical conductivity...

3D printing, also known as additive manufacturing (AM), has emerged as a transformative technology that contrasts with conventional subtractive methods by building objects layer-by-layer from digital models. Since its development in the 1980s, it has revolutionized industries such as aerospace, healthcare,...

As the feature size of semiconductor devices continues to approach the physical limit, the impact of wafer surface cleanliness on device performance becomes increasingly significant. Especially in advanced processes below 7 nanometers, single-atomic-layer contamination can lead to a sharp increase in...

Silicon-based electronic products are the main devices in the world’s market. However, silicon has a relatively narrow bandgap and it is difficult for silicon-based electronic products to work in extreme environments. Therefore, silicon carbide emerged as the third-generation semiconductor. An important...

Traditional integrated circuit technology attempts to integrate all functions into a single chip, this leads to the chip becoming more expensive and larger. Heterogeneous integration technology solves this problem by combining chips with different processes and technologies. This technology can continuously...

AI chips have a rising demand for high computing power and low power consumption. Traditional silicon-based semiconductors are constrained by inherent properties and process limits, making it difficult to meet the high-performance requirements of AI chips. Therefore the research and exploration of novel...

With the continuous advancement of technology and the growing demands of the market, embedded devices are playing a central role in cutting-edge fields such as industrial manufacturing, the Internet of Things (IoT), intelligent driving, and healthcare. The market size of embedded systems is steadily...

Atomic layer deposition (ALD) technology, based on self-limiting surface reaction mechanisms, can precisely control film growth at the atomic scale and has gradually become a key process in semiconductor manufacturing. This article starts from the basic theory of ALD, compares its differences with traditional...

This paper integrates various types of literature and describes various defects generated during the crystal growth process. Then the various defects generated were classified into the interior, surface and near-surface of the crystal, and the causes of the defects were described. Secondly, this paper...

Silicon-based substrates have long dominated the IC industry with their mature manufacturing processes and low costs, but are limited by narrower bandgaps and lower thermal conductivity, high-temperature and high-frequency scenarios that are becoming more common today. Compound semiconductor substrates...

This paper explores the research progress in advanced lithography techniques for semiconductor manufacturing. As integrated circuit (IC) process nodes advance, traditional optical lithography faces dual challenges of resolution limitations and rising costs. To address these challenges, advanced lithography...

This paper primarily examines three distinct diamond polishing techniques: mechanical polishing, thermal chemical polishing, and laser polishing. As the demand for high-performance diamond semiconductors grows in advanced electronics and optics, efficient and precise polishing methods have become critical...

Semiconductor materials have special conductive properties and are widely used in integrated circuits, transistors, optoelectronic devices and other fields. GaN, as one of its representative materials, has made significant progress in material growth and process preparation at present. However, the trap...

With the increasing competition in the international semiconductor industry, SiC MOSFET has become a research focal point in the power semiconductor field due to its material advantages as pivotal role. However, its reliability issues under extreme temperature conditions severely hinder practical applications....

In the field of power electronic devices, MOSFET, as a core switching component, is of great significance for improving energy conversion efficiency. Wide bandgap semiconductor substrates (such as SiC and GaN) are taking a dominant position in high-power and high-frequency applications due to their excellent...

The global manufacturing landscape is undergoing a profound transformation driven by the integration of 3D printing technology, a cornerstone of additive manufacturing (AM). This paper provides a comprehensive analysis of the technical mechanisms, industrial applications, and future prospects of 3D printing...

The exponential growth of data-intensive applications has exacerbated the limitations of homogeneous storage systems, necessitating hybrid architectures that synergistically integrate Solid State Drives (SSDs) and Hard Disk Drives (HDDs). However, existing solutions often prioritize optimization along...

Operational amplifiers are at the heart of most analog circuits, but their energy requirements have become a pressing concern, particularly in battery-powered systems and small sensors. To meet these demands, engineers have increasingly focused on low-power operational amplifiers that can deliver acceptable...

This study focuses on solving longstanding challenges of high-temperature semiconductor cleaning techniques. These methods often struggle to balance three key goals: effective oxide removal, defect control, and preservation of substrate integrity. Issues like excessive thermal stress causing substrate...

In the context of the rapid development of intelligent robot interaction technology, traditional remote-control methods have problems such as complex operation and poor interactivity. This study proposes a gesture-controlled Mecanum wheel car design based on the Mediapipe framework. Mediapipe is used...

With the acceleration of aging societies and the growing demand for health monitoring, wireless perception-based vital sign monitoring has become a research hotspot in various fields. Traditional contact devices have problems such as poor comfort and privacy leakage risks, while wireless sensing technology...

In recent years, with the development of technology, gesture recognition technology based on Wi-Fi Channel State Information (CSI) has received widespread attention. This technology can realize non-contact, wireless perception recognition of gesture movements, and has many advantages such as high precision,...

With the rapid development and continuous progress of wireless communication technology, the role played by wireless perception technology in the field of behavior and gesture recognition has become increasingly important and prominent. Therefore, this paper summarizes several current behavior and attitude...

With the development of human-computer interaction, virtual reality, and other fields, the importance of human posture estimation technology is becoming increasingly prominent. Traditional optical methods are limited by light, occlusion, and privacy issues, whereas wireless sensing techniques have become...

With the increasing incidence rate of breast cancer, early screening and diagnosis are of great significance for improving the survival rate and prognosis of patients. Photoacoustic imaging technology is an emerging non-invasive and radiation-free biomedical imaging technique. The combination of the...

With the rapid development of 5G and IoT technologies, contactless human-machine interaction technology has ushered in significant opportunities. WiFi Channel State Information (CSI) serves as an emerging wireless sensing method, enabling precise gesture recognition without the need for additional hardware...

The fast advancement of robot technology in recent years has drawn a lot of attention to path planning algorithms in dynamic situations. The classic A* path planning algorithm faces numerous hurdles because of its limited adaptation in dynamic contexts. These challenges include poor real-time performance,...

In medical settings, wheeled robots with obstacle avoidance and navigation capabilities have become a key enabler for automated precision delivery, effectively addressing the need for efficient medical logistics and reducing the workload of nursing staff. However, significant technical challenges persist...

The study of vehicle dynamics-based traction control is the main topic of this work. Given the growth in the number of automobiles, driving safety has drawn significant attention, and the Traction Control System (TCS) is crucial for enhancing the active safety performance of vehicles. The paper first...

With the continuous expansion of application scenarios for service robots, person-following technology has become a key capability for enabling human-robot interaction and intelligent control. This paper focuses on a multi-sensor fusion-based person-following system and systematically reviews its core...

This study addresses unmet logistics demands in semi-structured environments such as residential communities, industrial parks, and hospitals, where conventional systems lack adaptability. These settings feature large footprints, access control barriers, and time-sensitive, low-capacity delivery requirements....

This study comprehensively examines the technological evolution of industrial robotic arms from the 1980s to 2025, analyzing key advancements in drive mechanisms, control systems, and human-robot interaction paradigms. Drive systems have progressed from bulky hydraulic actuators to high-efficiency servo...

This study focuses on the industry pain points of traditional mobile robot control methods, such as high operational thresholds and monotonous interaction experiences. It innovatively designs and implements a set of Mecanum wheel trolley control systems based on gesture recognition technology. The research...

With the development of automatic navigation technology, path planning algorithms play a vital role in mobile robots and intelligent transportation systems. Although the traditional A* algorithm is stable and efficient, the paths it generates often contain numerous turning points and lack smoothness,...

Path planning constitutes one of the fundamental technologies in robotic navigation. Focusing on the operational environment of wheel-legged lunar rovers on the actual lunar surface, this paper proposes and establishes a novel integrated planning methodology based on fuzzy control theory and ant colony...

With the acceleration of urbanization, the quantity of tall buildings is increasing. The problem of cleaning is becoming more serious than before, so some traditional methods are less likely to be useful. As a result, window cleaning has become an essential section of the maintenance of homes and commercial...

This study addresses short-term traffic speed prediction for urban road networks, a critical component of intelligent transportation systems for easing congestion, optimizing traffic signal control, and improving travel efficiency. Using real-world traffic speed data, the performance of a Long Short-Term...

With the rapid growth of artificial intelligence and deep learning, traditional computing architectures face limitations in efficiency and scalability. This paper explores Google’s Tensor Processing Unit (TPU) to understand how specialized hardware accelerates AI workloads and drives next-generation...

In the era of rapid advancements in artificial intelligence (AI) and deep learning, the choice of hardware processors plays a critical role in determining the efficiency of model training and inference. This paper talks about the two leading processors: the general purposed Graphics Processing Unit (GPU)...

Over the past decade, transformer models have ballooned from 110 M to 540 B parameters, rendering Central Processing Unit (CPU)/Graphics Processing Unit (GPU) baselines infeasible for both training and latency-critical inference. Google’s Tensor Processing Unit (TPU) program—spanning four silicon generations...

Silicon carbide, which is a material we all call third-generation semiconductors, has special potential in 5G base stations and new energy vehicle charging. To make a better quality silicon carbide crystal, the key is to find out what defects it has. But now the factory mainly relies on manual inspection...

As 6G evolves towards high-density intelligent networks, integrating digital twins and generative AI is vital for 6G IoT. This paper explores generative AI in 6G Intelligent Radio digital twin. It first clarifies the synergy between intelligent radio and digital twin in 6G, and reveals how GAN, Diffusion...

Indoor positioning has become an on-going issue in recent years. Artificial Intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL) algorithms assisted WiFi and Bluetooth Low Energy (BLE) fingerprinting indoor positioning systems are regarded as common techniques. This work conducts...

With the global roll out and deployment of 5G networks, the sixth-generation mobile communication system (6G) is transforming towards ultra-low latency, global coverage and intelligent native. Artificial intelligence (AI), as the core driver of 6G’s intelligent transformation, has shown great potential...

With the rapid advancement of video communication technologies and the growing demand for real-time processing in applications such as autonomous driving and industrial automation, efficient edge detection has become increasingly crucial for optimizing video transmission and analysis. Traditional edge...

Aircraft optical pods, the core of aviation optoelectronic systems, must maintain ≤ 0.1mrad optical axis stability under -40 ℃ ~80 ℃ temperature alternation, 10-2000Hz vibration, and 3-5g overload. Traditional aluminum structures suffer 0.2-0.5mm thermal deformation, while existing studies neglect the...

Urban traffic congestion has become a global challenge, causing economic losses, environmental pollution, and reduced quality of life. Accurate short-term traffic flow prediction is essential for optimizing traffic management, improving travel efficiency, and supporting the development of intelligent...

Brain-Computer Interfaces (BCIs) enable human-machine interaction by decoding neural activity, demonstrating broad application potential in fields such as medical rehabilitation and neural engineering. However, traditional unimodal BCI systems face limitations due to signal noise, individual variability,...

With the deepening urbanization process, metro systems have become one of the important components of urban passenger transportation. However, the growing passenger flow poses severe operational challenges, giving rise to the demand for short-term passenger flow prediction (STPFP). This study employs...

This study proposes an integrated framework for detecting a vehicle’s driving intention using multi-source data fusion, thereby addressing the limitations of relying on single data sources in complex traffic scenarios. Environmental perception data (other cars, pedestrians, traffic lights) are processed...

With the rapid development of computer vision technology, object detection in drone-captured imagery has become a highly important research topic in recent years. This technology is now applied in a wide range of fields, including urban planning, agricultural monitoring, disaster response, traffic management,...

This paper aims to improve the performance of general Text-to-Image models for image generation in a specific art style. While foundational models generate diverse imagery, they often fail to capture the unique nuances required for specialized artistic genres and instead produce generic results. To address...

With the development of artificial intelligence technology, facial emotion recognition is being used in more fields. Nowadays, mental health issues of people of all ages have already become hot issues. Researchers have found that intelligent psychological analysis has a significant impact on improving...

Biological signals (such as electrocardiogram and electroencephalogram) hold significant value in disease diagnosis and treatment. However, traditional methods of processing these signals suffer from low efficiency and vulnerability to noise interference. With the integrated development of AI and communication...

This paper systematically discusses the status and challenges of in-vehicle emotion recognition technology and analyses the application of deep learning in intelligent cockpits. Current technology faces three core issues: first, data scarcity; obtaining emotional data in driving scenarios is difficult,...

Accurate recognition of emotional changes has become an urgent and essential need in multiple practical fields and interdisciplinary domains. Traditional emotion recognition primarily relies on monitoring explicit expressions and the subjective statements of subjects, and subjective biases often significantly...

While deep learning-based methods for Single Image Super-Resolution (SISR) have consistently set new performance benchmarks, their substantial computational and memory footprints pose a significant barrier to deployment on resource-constrained devices. This challenge is particularly acute for SISR, a...

Virtual Reality (VR) technology is increasingly becoming an important technology. It plays an important role in our daily life. VR technology in general refers to a computer technology that enables the creation and experience of virtual worlds. It has a wide variety use in the fields of education, entertainment,...

The evolution of image projection technology began with shadow play and the camera obscura in the 12th century. It has now led to the development of modern auto-focus (AF) projection systems. This paper analyzes the development and performance of autofocus technologies in three main types of projectors:...

Recent advances in display technology have led to Liquid Crystal Display (LCD), Organic Light-Emitting Diode (OLED), Mini Light-Emitting Diode (Mini-LED), and Micro Light-Emitting Diode (Micro-LED) as the competing and complementing solutions. Their light-emission processes, physical principles, and...

While Faster R-CNN is a classical object detection framework widely used in vehicle detection, its performance tends to degrade when deployed in complex and dynamic traffic scenarios. This paper first introduces the fundamental principles of Faster R-CNN, providing a concise theoretical background. It...

As the rapid development and the broad usage of Transformer-based models like ChatGPT and Gemini, and the popularity of edge devices like mobile phones, the request of deployment of Transformer-based models on edge devices is growing urgently. However, the original Transformer-based models have numerous...

This paper aims to present a study on digitizer styluses, mainly focused on researching the factors affecting precision. In this article, digitizer styluses are divided into two categories, capacitive stylus and electromagnetic stylus. After that, the article explains the working principle of the two...

A glider is a kind of fixed-wing aircraft that does not use any power. After takeoff, it relies on the reaction force of the air acting on its lifting surfaces for free flight. So, an experiment is designed to research some information and the relationship between gliders. The method of controlling variables...

With the accelerated evolution of communication technology towards 6G, the importance of semiconductor manufacturing technology as the foundation supporting core 6G functions such as terahertz communication and intelligent metasurfaces has become increasingly prominent. This paper systematically reviews...

With the advent of the new energy era, the requirements for power supply voltage regulation accuracy and dynamic response in high-precision equipment are becoming increasingly strict. As a core step-down topology, the Buck circuit has extensive applications in solar power generation, electric vehicle...

Driven by the global energy transition and the goal of carbon neutrality, photovoltaic power generation has become the core force in the development of renewable energy. However, its intermittency and volatility pose challenges to the stable operation of the power grid. This paper systematically studies...

This article systematically reviews the research progress on the formation mechanism, risk influencing factors, and protection strategies of the islanding effect in electric vehicle charging stations. The article first analyzes the potential hazards that may be caused by the isolated operation of electric...

With the increasing penetration of distributed photovoltaic (PV) systems, grid-connected PV inverters must achieve rapid, accurate, and low-harmonic power injection across a wide operating range. Conventional control methods in the abc stationary reference frame exhibit significant steady-state errors...

In high-performance induction motor applications, multilevel inverters have demonstrated the capability to deliver cleaner voltage waveforms than conventional topologies. Nevertheless, their implementation can be hampered by issues such as circuit complexity, neutral-point voltage imbalance, and substantial...

With the development of renewable energy, the demand for related power equipment is growing. This study addresses the issues of high voltage and current stresses on switching devices in conventional quadratic Boost converters under high-voltage-gain applications, and proposes a novel quadratic switched-capacitor...

This paper presents a systematic investigation into the research progress on leakage current suppression in N-leg inverters for dynamic wireless power transfer (DWPT) systems. With the widespread adoption of electric vehicles, DWPT technology has emerged as a critical solution due to its convenient and...

In the context of the new era, the development of renewable energy is of great significance. Its utilization not only alleviates energy shortages but also significantly reduces environmental pollution. With the widespread application of digital technology in the power system, higher demands are placed...

Bidirectional DC/DC converters, serving as essential devices for bidirectional energy flow in the field of power electronics, can effectively transfer energy while regulating voltage levels. Nowadays, with the vigorous emergence and rapid development of various fields such as new energy and electric...

The Modular Multilevel Converter (MMC) utilizes cascaded submodules to form a converter. As the number of submodules increases, higher output voltages can be achieved, making them suitable for medium and high voltage applications. They offer advantages such as low losses, high transmission efficiency,...

Virtual Synchronous Generator (VSG) enhances system stability by simulating the inertia and damping characteristics of synchronous generators. However, due to the fixed parameters, it is prone to cause low-frequency oscillations. To address this issue, scholars at home and abroad have proposed stability...

Silicon carbide metal-oxide-semiconductor field-effect transistors, or SiC MOSFETs, have been widely used in high-voltage, high-temperature, and high-frequency power electronic applications due to their superior properties, which include low power loss, high switching frequency, and excellent thermal...

Wide-bandgap silicon-carbide (SiC) devices enable switching frequencies above 100 kHz. They keep high power density and fast dynamics. High-frequency operation also magnifies sampling-to-computation delay, parameter drift, and parasitic effects. These factors challenge the stability of Finite-Control-Set...

With the continuous expansion of global energy demand and increasing integration of renewable energy into power grids, maintaining grid stability has become significantly more challenging. As the essential interface connecting renewable energy sources to the grid, grid-connected inverters critically...

Power Factor Correction (PFC) technology is a key means to improve system energy efficiency. This paper conducts a systematic review and analysis of Boost-type active power factor correction technology. Firstly, it sorts out the topological structure and working principle of Boost-type PFC, and expounds...

Currently, the development of new energy exhibits a pattern of concurrent development of centralized and distributed forms high-voltage direct current (HVDC) transmission enables the cross-regional power transmission of large-scale power plants. Meanwhile, the medium-voltage direct current (MVDC) distribution...

Virtual power plant (VPP) is trading entities in the new generation of power markets that can rapidly aggregate various energy sources, create value by leveraging a large number of flexible resources, and bring volatility to the grid. To address some of the issues in the development of VPPs, this paper...

Thermoelectric coolers (TECs), operating through the Peltier effect, are a solid-state means of temperature control with no moving parts, mechanical vibrations, or refrigerant gas. In this paper perform systematic analysis of TEC technology beginning from its historical evolution and basic operational...

The rapid development of the Internet of Things (IoT) has driven innovation in the power sector, and traditional power grids face challenges like energy waste and low reliability. This paper explores IoT-based intelligent power grids, analyzing their theoretical basis, including global power grid development...

With the rapid popularization of portable electronic devices (such as smartphones and tablets) and the accelerating adoption of electric vehicles globally, the demand for fast, efficient, and stable charging solutions has become increasingly urgent. This paper focuses on analyzing the key hardware factors...

The Transformer framework has recently been proven to be feasible for noise analysis in low Signal-to-Noise Ratio (SNR) environments. The signal is heavily overwhelmed by noise (the lower the Signal-to-Noise Ratio, the closer or even greater the noise energy becomes compared to the signal energy), making...

The effectiveness of photovoltaic systems is heavily influenced by the performance of Maximum Power Point Tracking (MPPT) techniques. This study provides a comprehensive analysis of existing MPPT approaches, detailing their fundamental mechanisms, advantages, drawbacks, and potential enhancement approaches....

Against the backdrop of intensifying global climate change and energy crises, the energy transition in the transportation sector has become a global focus. Automotive power system technologies are evolving along diversified pathways, with traditional internal combustion engine vehicles, pure electric...

With the acceleration of energy transition, wind and solar energy are widely utilized due to their cleanliness and low carbon emissions. However, their intermittency and volatility pose challenges to the stability of the power grid. This paper focuses on the research of the integrated wind-solar-storage...