International Journal of Engineering Advances
type: channel
description: International Journal of Engineering Advances (Int. J. Eng. Adv.) is a peer-reviewed academic journal dedicated to publishing cutting-edge research and advancements across all fields of engineering. The journal welcomes original research articles, review papers, and technical notes on topics such as civil engineering, mechanical engineering, electrical engineering, computer science, and materials science. Its mission is to facilitate the dissemination of innovative solutions and promote interdisciplinary collaboration within the global engineering community.
publisher: George Brown Press
language: en
publication name: International Journal of Engineering Advances
issn: 3078-7688
items: Risk Control and Financial Analysis in Energy Industry Project Investment
items: Soil Chemistry Enhancement through Coordination Polymer Urease Inhibitors: Environmental Impact Assessment
items: Decomposition Analysis of Carbon Emission Drivers in Thailand's Power Sector
items: AI-Driven Project Management for Construction SMEs: A Framework for Cost and Schedule Optimization
items: Structural Characterization of Novel Copper-Based Metal-Organic Frameworks: X-Ray Crystallography and Analysis
items: Study on the Impact of Water Level Fluctuations on the Stability of Reservoir Bank Landslides in Guangxi
items: Copper-Based Coordination Polymers: Geometric Ligand Engineering for Targeted Urease Inhibition
items: Morphological Characterization of Carbon Nanotubes and Their Agglomeration Behavior Revealed by Scanning Electron Microscopy
items: Research on Identification and Analysis of Hazards in High Altitude Tunnel Construction Operations
items: Research on Perception and Control System of Small Autonomous Driving Vehicles
items: A New Design and Simulation of a Reciprocating Motion Mechanism of Dynamic Ad Devices
items: Safety Countermeasures and Accident Prevention Measures in Traffic Design
items: Research on the Relevance between the Traditional Buildings of the WA Ethnic Group in Wengding and Their Culture: A Quantitative Analysis Based on Hypothetical Data
items: Web Front-End Application Performance Improvement Method Based on Component-Based Architecture
items: Exploration of Process Improvement in Automotive Manufacturing Based on Intelligent Production
items: Research on the Development of Intelligent Ships and Smart Energy Management Technologies
items: Sustainable Construction Management: Integrating Carbon Reduction into Planning, Design, and Project Delivery
items: A Sensor-Fused Deep Reinforcement Learning Framework for Multi-Agent Decision-Making in Urban Driving Environments
items: Post-pandemic Architectural Design: A Review of Global Adaptations in Public Buildings
items: Effect of Air Gap Eccentricity on the Torque and Losses of Bulb Tubular Turbine Generators
items: Design and Research of the Signal Intelligent Operation and Maintenance System for Nanning Metro Line 4 Based on PHM Technology
items: Study on Spring Festival Passenger Flow Forecasting of Rail Transit in South China Based on Optimized SARIMA Model--Taking Guilin City as an Example
items: Research on Intelligent Diagnosis of Faults in Four-Wire Turnout Control Circuits
items: A Review of the Development and Future Trends of Downhole Electric Bypass Valves
items: Electromagnetic Compatibility Design and Optimization Strategies for High-Frequency Ultrasonic Power Supplies
items: Multi-Objective Design of Heat Sink Fins for Thermal Efficiency and Manufacturability
items: A Comparative Study of Infiltration Methods Based on the SWMM Model: Application of Horton and Green-Ampt Models in Drainage System Design in Northeast China
items: Exploration of Strategies for Energy-Efficient Design in Architectural Planning Under the Concept of Green Buildings
items: Adapting Architecture to Climate: Exploring Climate-Responsive Strategies Across U.S. Cities

Risk Control and Financial Analysis in Energy Industry Project Investment
type: item
description: With the rapid expansion of the global energy industry, investments in energy projects are increasingly confronted with complex challenges and uncertainties. This paper examines the distinctive risk characteristics inherent to such projects and proposes a range of practical risk management strategies, including enhancing data security, mitigating technical uncertainties, and ensuring robust compliance in cross-border investments. Furthermore, it presents comprehensive financial analysis methods tailored for energy projects, encompassing financial feasibility assessments, evaluation of capital sources and financing structures, financial risk analysis, and sensitivity testing. By integrating thorough risk management with systematic financial evaluation, this study establishes a rational and reliable decision support framework for investors, helping them anticipate potential threats, make informed investment decisions, and promote the sustainable, long-term growth of energy projects.
subject: Article
  topic: section
subject: risk control
  topic: keywords
subject: financial analysis
  topic: keywords
subject: data security
  topic: keywords
subject: technical uncertainty
  topic: keywords
creator: Lingyun Lai
rights: Copyright (c) 2025 Lingyun Lai (Author)
date: 2025-11-01
publication date: 2025-11-01
starting page: 21
ending page: 28
doi: 10.71222/rt7yy366

Soil Chemistry Enhancement through Coordination Polymer Urease Inhibitors: Environmental Impact Assessment
type: item
description: The application of coordination polymer urease inhibitors represents a promising advancement in sustainable agriculture, offering enhanced nitrogen use efficiency while minimizing environmental degradation. This comprehensive study evaluates the environmental impact of copper-based coordination polymers as urease inhibitors in soil systems, examining their effects on soil enzyme activities, microbial communities, and overall soil health. Recent developments in coordination polymer technology have demonstrated significant potential for improving agricultural productivity while reducing ammonia emissions and environmental contamination. The research integrates findings from multiple studies examining the interaction between synthetic urease inhibitors and natural soil processes, with particular emphasis on enzyme activity modulation and microbial community dynamics. Environmental impact assessments reveal that properly designed coordination polymer systems can enhance soil nutrient cycling without compromising biological diversity or soil functionality. The study demonstrates that copper-based coordination polymers exhibit superior urease inhibition efficiency compared to conventional inhibitors, with reduced environmental persistence and improved biodegradability. Furthermore, these novel materials show promise for addressing cadmium contamination while maintaining soil metabolic functions. The findings suggest that coordination polymer urease inhibitors represent a viable solution for sustainable intensification of agricultural systems, providing effective nitrogen management while preserving soil ecosystem integrity and supporting long-term agricultural sustainability.
subject: Article
  topic: section
subject: coordination polymers
  topic: keywords
subject: urease inhibitors
  topic: keywords
subject: soil enzymes
  topic: keywords
subject: environmental impact
  topic: keywords
subject: soil chemistry
  topic: keywords
subject: sustainable agriculture
  topic: keywords
creator: Anna Müller
rights: Copyright (c) 2025 Anna Müller (Author)
date: 2025-10-11
publication date: 2025-10-11
starting page: 11
ending page: 20
doi: 10.71222/qaw0tg91

Decomposition Analysis of Carbon Emission Drivers in Thailand's Power Sector
type: item
description: This study investigates the driving factors of carbon emissions in Thailand's power sector from 2002 to 2022 using the Logarithmic Mean Divisia Index (LMDI) decomposition method. The objective is to provide a systematic and quantitative assessment of how socioeconomic and technological developments have influenced emission dynamics. The results indicate that total emissions rose from approximately 62 Mt in 2002 to a peak of 90 Mt in 2013, before stabilizing and slightly declining in recent years, reflecting improvements in efficiency and structural transformation. Economic growth was the largest contributor, adding a cumulative 43.83 Mt, followed by population growth (9.52 Mt). In contrast, structural transformation-primarily the gradual substitution of fuel oil with natural gas-reduced emissions by about 21.81 Mt, while enhanced efficiency in coal consumption contributed an additional 20.86 Mt reduction. Electricity intensity exerted a modest positive effect (4.39 Mt), and the influence of the carbon emission factor was minimal (0.61 Mt). The findings suggest that Thailand's power sector has achieved relative decoupling between economic growth and emissions, though absolute decoupling has yet to occur. The analysis underscores the critical importance of accelerating renewable energy deployment and strengthening energy efficiency initiatives to meet Thailand's carbon neutrality target by 2050 and its net-zero emissions goal by 2065. This study fills a gap in the existing literature by providing the first multi-factor decomposition analysis of Thailand's power sector emissions, offering valuable empirical insights and policy implications for sustainable energy transitions in developing economies.
subject: Article
  topic: section
subject: carbon emissions
  topic: keywords
subject: power sector
  topic: keywords
subject: LMDI
  topic: keywords
subject: Thailand
  topic: keywords
creator: Chen Chen
creator: Mohammad Nizamuddin Inamdar
creator: Aiman Al-Odaini
rights: Copyright (c) 2025 Chen Chen, Mohammad Nizamuddin Inamdar, Aiman Al-Odaini (Author)
date: 2025-10-10
publication date: 2025-10-10
starting page: 1
ending page: 10
doi: 10.71222/r1mnwh13

AI-Driven Project Management for Construction SMEs: A Framework for Cost and Schedule Optimization
type: item
description: Efficient project management remains a persistent challenge for small and medium-sized enterprises (SMEs) in the U.S. construction industry, where delays and budget overruns are prevalent. This study proposes an AI-driven project management framework tailored to SMEs, integrating predictive scheduling, resource allocation, and real-time progress monitoring. By leveraging machine learning models and cloud-based visualization tools, the framework generates adaptive schedules and optimizes task prioritization. A case study using representative project data demonstrates that the AI-enhanced system reduces schedule variance and cost deviation compared to traditional critical path methods. Results indicate that SMEs can achieve significant improvements in project predictability and resource efficiency without incurring the high costs of enterprise-level tools. The proposed framework contributes to national priorities in infrastructure development by enabling SMEs—who comprise the majority of U.S. construction firms—to deliver projects with greater timeliness, cost-efficiency, and resilience.
subject: Article
  topic: section
subject: AI-driven project management
  topic: keywords
subject: predictive scheduling
  topic: keywords
subject: resource allocation
  topic: keywords
subject: construction SMEs
  topic: keywords
subject: engineering optimization
  topic: keywords
creator: Yuanfeng Liang
rights: Copyright (c) 2025 Yuanfeng Liang (Author)
date: 2025-09-25
publication date: 2025-09-25
starting page: 93
ending page: 100
doi: 10.71222/qm6ebz81

Structural Characterization of Novel Copper-Based Metal-Organic Frameworks: X-Ray Crystallography and Analysis
type: item
description: Metal-organic frameworks (MOFs) have emerged as a versatile class of crystalline materials with extraordinary potential for applications in gas storage, separation, catalysis, and sensing. This study presents a comprehensive structural characterization of novel copper-based MOFs through advanced X-ray crystallographic techniques and detailed structural analysis. The investigation focuses on the synthesis and structural elucidation of three distinct copper-based frameworks incorporating different organic linkers and secondary building units. Single-crystal X-ray diffraction analysis revealed unique topological arrangements and coordination environments that significantly influence the framework properties. The copper centers exhibit diverse coordination geometries ranging from tetrahedral to octahedral configurations, creating distinct pore architectures and surface characteristics. Structural refinement data demonstrates exceptional crystallographic quality with R-factors below 4% for all synthesized frameworks. The frameworks exhibit remarkable thermal stability up to 350°C and display selective gas adsorption properties. Powder X-ray diffraction confirms the phase purity and structural integrity of the bulk materials. The structural diversity observed in these copper-based systems provides valuable insights into structure-property relationships and opens new avenues for targeted framework design. These findings contribute significantly to the fundamental understanding of copper coordination chemistry in porous crystalline materials and establish a foundation for future applications in environmental remediation and industrial processes.
subject: Article
  topic: section
subject: metal-organic frameworks
  topic: keywords
subject: copper coordination
  topic: keywords
subject: x-ray crystallography
  topic: keywords
subject: structural characterization
  topic: keywords
subject: porous materials
  topic: keywords
subject: crystal structure
  topic: keywords
creator: Hao Lin
rights: Copyright (c) 2025 Hao Lin (Author)
date: 2025-09-25
publication date: 2025-09-25
starting page: 85
ending page: 92
doi: 10.71222/dz0mq960

Study on the Impact of Water Level Fluctuations on the Stability of Reservoir Bank Landslides in Guangxi
type: item
description: The unique geological structure and climatic conditions in Guangxi make reservoir bank land-slides particularly problematic, with water level fluctuations being a key factor in inducing them. This paper systematically analyzes the mechanisms by which water level fluctuations affect the stability of reservoir bank landslides from a theoretical perspective, revealing the coupling effects of permeability, softening, buoyancy, and fatigue. By constructing a "hydrological-geological-mechanical" multi-field coupling model, the controlling effects of rock and soil permeability, geological conditions, and water level fluctuation rate on landslide stability are explored. The results indicate that permeability induced by sudden water level drops is the dominant factor in landslide instability, while fatigue damage caused by long-term water level fluctuations significantly reduces the long-term strength of rock and soil. The theoretical framework proposed in this paper provides a scientific basis for preventing and controlling reservoir land-slides in Guangxi and is of great reference value for similar projects.
subject: Article
  topic: section
subject: water level fluctuations
  topic: keywords
subject: reservoir bank landslides
  topic: keywords
subject: stability
  topic: keywords
subject: permeability
  topic: keywords
creator: Zhangwu Tian
creator: Fengjiao Qin
rights: Copyright (c) 2025 Zhangwu Tian, Fengjiao Qin (Author)
date: 2025-09-05
publication date: 2025-09-05
starting page: 78
ending page: 84
doi: 10.71222/jzp09845

Copper-Based Coordination Polymers: Geometric Ligand Engineering for Targeted Urease Inhibition
type: item
description: Urease is a key enzyme in nitrogen cycling and a critical target in efforts to regulate urea-based fertilization for agricultural sustainability. Copper-based coordination polymers (Cu-CPs) have emerged as potent urease inhibitors, with molecular design playing a central role in dictating their activity. In particular, V-shaped ligands provide unique steric and electronic environments that can fine-tune polymer architecture and bioactivity. This paper presents a comprehensive analysis of V-shaped ligand-assisted engineering strategies for copper-based coordination polymers, focusing on their structure-function relationships, urease inhibition efficiency, synthetic strategies, and agricultural applications. By analyzing ten recent studies, this work synthesizes the state-of-the-art in ligand-based modulation of Cu-CP frameworks. Furthermore, the agricultural relevance of these materials is assessed through the lens of soil–plant nitrogen retention, enzymatic inhibition kinetics, and long-term soil health. Emphasis is placed on the bridging coordination modes, ligand-metal affinity, and cooperative inhibition mechanisms that define bioactivity. This paper provides a structural roadmap for future Cu-CP design, proposing molecular and synthetic benchmarks for sustainable urease inhibition technologies.
subject: Article
  topic: section
subject: urease inhibition
  topic: keywords
subject: copper-based coordination polymers
  topic: keywords
subject: V-shaped ligands
  topic: keywords
subject: supramolecular design
  topic: keywords
subject: metallodrugs
  topic: keywords
creator: Fiona L. Maxwell
creator: Gavin T. Fletcher
rights: Copyright (c) 2025 Fiona L. Maxwell, Gavin T. Fletcher (Author)
date: 2025-09-01
publication date: 2025-09-01
starting page: 70
ending page: 77
doi: 10.71222/qvbx0011

Morphological Characterization of Carbon Nanotubes and Their Agglomeration Behavior Revealed by Scanning Electron Microscopy
type: item
description: In this study, the microscopic morphology and agglomeration behavior of carbon nanotubes (CNTs) were systematically investigated using high-resolution scanning electron microscopy (SEM). The SEM analysis revealed that CNTs predominantly exist in the form of irregular, spherical or quasi-spherical macroscopic aggregates, composed of densely entangled, curved, and flexible nanotubes. These aggregates exhibit a porous nanonetwork structure, rather than solid dense blocks, due to the random stacking and bending of individual CNTs. In addition to the major agglomerates, partially dispersed nanotubes were clearly observed at the periphery and in the interstitial spaces between aggregates, forming sparse and loosely connected nanonetworks. These morphological characteristics highlight the intrinsically high surface energy of CNTs and the strong van der Waals forces that drive their aggregation—a phenomenon that presents a critical challenge for achieving uniform dispersion in practical applications. Poor dispersion can severely hinder the mechanical reinforcement, electrical conductivity, and accessible surface area of CNTs in host materials, limiting their effectiveness in various functional systems. The insights gained from this detailed morphological analysis provide direct empirical evidence for the hierarchical structure of CNT agglomerates and the existence of inter-aggregate networks. These findings lay a solid foundation for understanding the complex relationship between the microstructural organization of CNTs and their macroscopic behavior. Furthermore, the results offer valuable guidance for the rational design of advanced dispersion techniques and integration strategies, aiming to fully exploit the exceptional properties of CNTs in fields such as polymer nanocomposites, energy storage and conversion, biomedical engineering, and environmental applications.
subject: Article
  topic: section
subject: carbon nanotubes
  topic: keywords
subject: scanning electron microscopy
  topic: keywords
subject: morphology
  topic: keywords
creator: Sergey Petrov
creator: Alexey Smirnov
creator: Elena Ivanova
rights: Copyright (c) 2025 Sergey Petrov, Alexey Smirnov, Elena Ivanova (Author)
date: 2025-08-08
publication date: 2025-08-08
starting page: 63
ending page: 69
doi: 10.71222/czk9vj26

Research on Identification and Analysis of Hazards in High Altitude Tunnel Construction Operations
type: item
description: Tunnel construction is an important safety control scenario in transportation engineering construction. Due to its own characteristics, such as high weight of terrain and landforms, complex geological conditions, numerous environmental factors, and difficult management, tunnel construction safety management has attracted much attention. In different tunnel constructions, the difficulty of managing high-altitude tunnel construction is particularly prominent. This article focuses on the high-altitude areas represented by the Qinghai Tibet Plateau. Taking the Laze Tunnel as the research objective, a combination of on-site investigation, interview, and screening methods were used to identify the hazards of high-altitude tunnels from four aspects: personnel, equipment, environment, and management. Analyzed its existing problems and provided countermeasures and suggestions. This study lays a theoretical foundation and practical significance for the safety management of high-altitude tunnel construction operations.
subject: Article
  topic: section
subject: plateau
  topic: keywords
subject: tunnel construction
  topic: keywords
subject: human machine environment system analysis
  topic: keywords
subject: hazard identification
  topic: keywords
creator: Defeng Duan
creator: Baofeng Sun
creator: Hai Liu
rights: Copyright (c) 2025 Defeng Duan, Baofeng Sun, Hai Liu (Author)
date: 2025-07-10
publication date: 2025-07-10
starting page: 55
ending page: 62
doi: 10.71222/8vkz2g80

Research on Perception and Control System of Small Autonomous Driving Vehicles
type: item
description: With the continuous advancement of autonomous driving technology, the application of small autonomous vehicles in changing environments has gradually attracted attention. This article discusses the core technologies of perception and control systems for small autonomous vehicles. An analysis was conducted on the key issues faced by the perception system of small autonomous vehicles, including improving the accuracy of local and global positioning, as well as the application of multi-source sensor fusion technology. By integrating various sensing devices such as LiDAR and image sensors, the perception accuracy of the system has been enhanced. The improvement of the control system was also discussed, and the overall path planning method based on gridded maps and the improvement strategy of the motion control system were analyzed. With precise path design and efficient motion control algorithms, the driving stability and safety factor of the car are ensured in changing environments. Finally, the integration and testing of perception and control systems were discussed, and solutions for software hardware collaboration enhancement and comprehensive debugging and testing in complex scenarios were proposed.
subject: Article
  topic: section
subject: small autonomous vehicles
  topic: keywords
subject: perception system
  topic: keywords
subject: control system
  topic: keywords
subject: path planning
  topic: keywords
subject: sensor fusion
  topic: keywords
creator: Linfeng Hao
rights: Copyright (c) 2025 Linfeng Hao (Author)
date: 2025-06-25
publication date: 2025-06-25
starting page: 48
ending page: 54
doi: 10.71222/1qbwx336

A New Design and Simulation of a Reciprocating Motion Mechanism of Dynamic Ad Devices
type: item
description: In this paper, a reciprocating motion dynamic advertisement device is designed for a new category of billboards. The core design consists of a conjugate cam and multi-link structure, based on which a kinematic model is established and ADAMS kinematic simulation is performed. The results show that the kinematic model of the designed reciprocating structure is highly accurate with an error of only 4%, and the cam mechanism has less contact force, which is of strong utilization value.
subject: Article
  topic: section
subject: dynamic advertisement device
  topic: keywords
subject: reciprocating motion mechanism
  topic: keywords
subject: conjugate cam
  topic: keywords
subject: ADAMS simulation
  topic: keywords
creator: Sining Yao
creator: Kai Xu
creator: Yanzhang Ren
rights: Copyright (c) 2025 Sining Yao, Kai Xu, Yanzhang Ren (Author)
date: 2025-06-15
publication date: 2025-06-15
starting page: 43
ending page: 47
doi: 10.71222/33wwsm10

Safety Countermeasures and Accident Prevention Measures in Traffic Design
type: item
description: Traffic design plays a critical role in ensuring traffic safety. This article discusses the close relationship between traffic design and safety, analyzes potential risk factors in traffic design, and proposes targeted safety measures and accident prevention measures. Traffic design must follow the basic principles of science, reasonably lay out roads, set up traffic signs and markings to ensure safety and smoothness. Safety hazards such as unreasonable road layout, improper setting of traffic markings, and road condition changes caused by adverse weather are key issues in traffic safety management. To address these issues, effective solutions have been proposed, including standardized lane and shoulder design, application of intelligent transportation systems (ITS), and improvement of road drainage and anti-skid design. These measures can not only reduce the incidence of traffic accidents, but also improve the safety and efficiency of the overall transportation system.
subject: Article
  topic: section
subject: traffic design
  topic: keywords
subject: hidden danger
  topic: keywords
subject: standardized lanes
  topic: keywords
subject: intelligent transportation management system
  topic: keywords
subject: accident prevention
  topic: keywords
creator: Naizhong Cui
rights: Copyright (c) 2025 Naizhong Cui (Author)
date: 2025-06-03
publication date: 2025-06-03
starting page: 37
ending page: 42
doi: 10.71222/hyk8js12

Research on the Relevance between the Traditional Buildings of the WA Ethnic Group in Wengding and Their Culture: A Quantitative Analysis Based on Hypothetical Data
type: item
description: This study takes the traditional villages of the Wa ethnic group in Wengding, Yunnan Province as the research object. Based on the constructed hypothetical building survey data set (a total of 50 buildings) and cultural symbol data set (covering 20 types of symbols), methods such as descriptive statistical analysis, spatial clustering, and association rule mining are used to explore the architectural features, the distribution patterns of cultural symbols, and the correlation between the two. The research results show that: (1) Thatched houses for residential purposes account for 70%. Among the decorative elements, animal carvings account for 42.9% and plant patterns account for 28.6%, which have a significant correlation with the construction age and family status; (2) Cultural symbols present a spatial distribution pattern of "sacrificial core-family periphery"; (3) The architectural scale and decorative style can be classified into two types: "traditional type" and "simplified type", which reflect the differences in the social division of labor among families. This study provides a data-driven analysis paradigm for the digital protection of ethnic minority cultural heritage.
subject: Article
  topic: section
subject: Wengding Wa ethnic group
  topic: keywords
subject: traditional buildings
  topic: keywords
subject: cultural symbols
  topic: keywords
subject: quantitative analysis
  topic: keywords
subject: data-driven
  topic: keywords
subject: ethnic minority cultural heritage
  topic: keywords
creator: Yanan Jiang
creator: Qi Liu
rights: Copyright (c) 2025 Yanan Jiang, Qi Liu (Author)
date: 2025-05-26
publication date: 2025-05-26
starting page: 31
ending page: 36
doi: 10.71222/3632fa25

Web Front-End Application Performance Improvement Method Based on Component-Based Architecture
type: item
description: In the context of the continuous evolution of Web front-end technology, performance optimization has become the core work to improve user experience and enhance product value. This paper focuses on analyzing the performance bottlenecks encountered by current Web front-end applications, such as rendering bottlenecks, network bottlenecks, resource bottlenecks and computing bottlenecks, and introduces optimization suggestions. By designing front-end applications with a block architecture, you can reduce redundant rendering, optimize resource loading, split code and lazy loading, and improve the efficiency of state management to significantly improve application speed. At the same time, the influence of the block structure on the front-end application is analyzed, and how to optimize the development process and performance through good structure design is discussed.
subject: Article
  topic: section
subject: Web front-end
  topic: keywords
subject: componentized architecture
  topic: keywords
subject: performance improvement
  topic: keywords
creator: Yifan Yang
rights: Copyright (c) 2025 Yifan Yang (Author)
date: 2025-05-22
publication date: 2025-05-22
starting page: 24
ending page: 30
doi: 10.71222/sg9eef87

Exploration of Process Improvement in Automotive Manufacturing Based on Intelligent Production
type: item
description: With the rapid development of intelligent manufacturing technology, automation has become the main means of improving efficiency, reducing costs, and ensuring product quality in automotive production. This paper discusses the application of automobile intelligent production technology, mainly investigating the current widespread robot applications, the role of robots in automated production assembly lines, the application of the Internet and big data in the production process and other issues. Through robot automation production technology, high precision and efficiency can be achieved, which is reflected in the processes of body welding and production part installation in automobile production. The combination of the Internet and big data makes the monitoring of the production process more intelligent and real-time, increasing the sensitivity of the production line and equipment utilization. This paper explores the obstacles encountered in the implementation of intelligent production technology, such as technology integration, data confidentiality and personal privacy protection, and shortage of technical personnel, and proposes relevant improvement measures, which can be used as a reference for automobile manufacturing enterprises in the process of implementing intelligent production technology transformation.
subject: Article
  topic: section
subject: intelligent production
  topic: keywords
subject: automobile manufacturing
  topic: keywords
subject: process improvement
  topic: keywords
creator: Junchun Ding
rights: Copyright (c) 2025 Junchun Ding (Author)
date: 2025-05-18
publication date: 2025-05-18
starting page: 17
ending page: 23
doi: 10.71222/87hx3e81

Research on the Development of Intelligent Ships and Smart Energy Management Technologies
type: item
description: With the maritime industry undergoing digital transformation and facing growing demands for automation, intelligent ships and smart energy management have become central to boosting operational efficiency, cutting fuel consumption, and reducing environmental impact. This paper first reviews the concept and system architecture of intelligent ships and surveys key technological advances in autonomous navigation, condition monitoring, and decision support. It then examines the architectural models of shipboard energy management systems, explores intelligent optimization algorithms, and outlines real-time control strategies. Drawing on representative application cases, the study evaluates both operational performance and economic returns. Finally, it discusses major challenges in engineering rollout, algorithmic reliability, and large-scale deployment, and looks ahead to emerging research directions and industry trends, offering theoretical underpinnings and practical guidance for the evolution of intelligent shipping and energy management.
subject: Article
  topic: section
subject: intelligent ship
  topic: keywords
subject: smart energy management
  topic: keywords
subject: system architecture
  topic: keywords
subject: optimization algorithms
  topic: keywords
subject: control strategies
  topic: keywords
creator: Chaohua Wu
rights: Copyright (c) 2025 Chaohua Wu (Author)
date: 2025-05-09
publication date: 2025-05-09
starting page: 9
ending page: 16
doi: 10.71222/wrgd4245

Sustainable Construction Management: Integrating Carbon Reduction into Planning, Design, and Project Delivery
type: item
description: As global climate change becomes an increasingly pressing issue, the construction industry plays a significant role in carbon emissions, making carbon reduction measures a key focus for its development. This review explores the primary methods and innovations for integrating carbon reduction strategies into construction management, focusing on the planning, design, and construction phases. The paper first discusses the core concepts of sustainable construction management, detailing the integration of carbon reduction goals throughout the construction lifecycle and the role of industry standards and policies. It then examines the importance of carbon footprint assessments and carbon budgeting models during the project planning phase, and the integration of low-carbon design principles, including green building design, material selection, and energy efficiency optimization. In the construction phase, modular building, green construction technologies, and digital tools are identified as effective means of reducing carbon emissions. Finally, the paper highlights the challenges the industry faces in carbon reduction, such as regulatory issues, cost barriers, and data transparency, while pointing out emerging opportunities like green finance and carbon trading. It also outlines future research directions, including full lifecycle carbon tracking and smart construction technologies.
subject: Article
  topic: section
subject: sustainable construction management
  topic: keywords
subject: carbon reduction
  topic: keywords
subject: green building
  topic: keywords
subject: lifecycle carbon tracking
  topic: keywords
subject: low-carbon construction
  topic: keywords
creator: Xun Wen
rights: Copyright (c) 2025 Xun Wen (Author)
date: 2025-05-08
publication date: 2025-05-08
starting page: 1
ending page: 8
doi: 10.71222/tm54n604

A Sensor-Fused Deep Reinforcement Learning Framework for Multi-Agent Decision-Making in Urban Driving Environments
type: item
description: Achieving robust and efficient autonomous driving in complex and dynamically changing urban traffic environments faces numerous significant challenges, especially the need to properly handle complex and time-varying interaction behaviors among multiple agents. This study innovatively proposes a sensor-integrated deep reinforcement learning framework (SIDRL), which organically combines multimodal sensor data fusion technology with multi-agent decision-making methods based on policy optimization. The system inputs include data from lidar, cameras and vehicle-to-everything (V2X), which are initially processed through a fusion perception module and subsequently fed into a decision-making network based on proximal policy optimization (PPO) for training and inference. Comprehensive evaluation experiments were conducted on the high-fidelity CARLA 0.9.15 simulation platform, and comparisons were performed with classical deep Q-network (DQN), asynchronous advantage actor-critic (A3C), as well as advanced methods such as soft actor-critic (SAC) and multi-agent proximal policy optimization (MAPPO). The experimental results clearly demonstrate that the proposed method enhances collision avoidance capability by 23.5% and decision-making efficiency by 17.2% under complex urban traffic scenarios. The research outcomes effectively confirm the critical role of multi-sensor fusion within deep reinforcement learning frameworks in improving environmental adaptability and safety for autonomous driving vehicles, providing a valuable new direction for the development of urban autonomous driving technology.
subject: Article
  topic: section
subject: autonomous driving
  topic: keywords
subject: deep reinforcement learning
  topic: keywords
subject: sensor fusion
  topic: keywords
subject: multi-agent system
  topic: keywords
subject: urban traffic simulation
  topic: keywords
creator: Ethan J. Cole
creator: David R. Thompson
creator: Jason T. Nguyen
creator: Benjamin A. Wright
rights: Copyright (c) 2025 Ethan J. Cole, David R. Thompson, Jason T. Nguyen, Benjamin A. Wright (Author)
date: 2025-04-25
publication date: 2025-04-25
starting page: 101
ending page: 108
doi: 10.71222/g3f6jw09

Post-pandemic Architectural Design: A Review of Global Adaptations in Public Buildings
type: item
description: The COVID-19 pandemic has drastically reshaped the way public buildings are designed and used, forcing architects and urban planners to rethink existing architectural norms. This review explores the global adaptations in public building design in response to the pandemic, focusing on key changes in spatial organization, health and safety protocols, and the integration of smart technologies. Drawing from case studies across North America, Europe, and Asia, the paper highlights the importance of flexibility, modularity, and sustainability in post-pandemic architectural solutions. It also examines the emerging role of advanced technologies such as AI, automation, and data-driven design in enhancing the user experience and ensuring safety. The review concludes with a discussion on the long-term implications for future architectural practice and identifies gaps in current research, suggesting areas for further exploration in the evolving field of post-pandemic architecture.
subject: Article
  topic: section
subject: post-pandemic architecture
  topic: keywords
subject: public buildings
  topic: keywords
subject: design adaptations
  topic: keywords
subject: health and safety
  topic: keywords
subject: smart technologies
  topic: keywords
creator: Ying Liu
rights: Copyright (c) 2025 Ying Liu (Author)
date: 2025-04-22
publication date: 2025-04-22
starting page: 91
ending page: 100
doi: 10.71222/1cj1j328

Effect of Air Gap Eccentricity on the Torque and Losses of Bulb Tubular Turbine Generators
type: item
description: The uniformity of the air gap is crucial to the electromagnetic performance of the Bulb Tubular Turbine Generator (BTTG). However, due to factors such as manufacturing tolerances, assembly deviations, and mechanical deformations during operation, the center of the air gap may shift relative to the rotor axis. This air gap eccentricity causes unevenness in the air gap between the stator and rotor along the circumferential direction, leading to a distortion of the magnetic flux density. As a result, the generator's operational stability is compromised, and the fatigue loss of the core material is accelerated. Therefore, the study of the impact of air gap eccentricity on the BTTG is of significant engineering importance for optimizing the generator’s structural design and enhancing its operational performance.
subject: Article
  topic: section
subject: Bulb Tubular Turbine Generator
  topic: keywords
subject: air gap eccentricity
  topic: keywords
subject: torque pulsation
  topic: keywords
subject: eddy current loss
  topic: keywords
creator: Shuai Wang
rights: Copyright (c) 2025 Shuai Wang (Author)
date: 2025-03-31
publication date: 2025-03-31
starting page: 80
ending page: 90
doi: 10.71222/q6svq425

Design and Research of the Signal Intelligent Operation and Maintenance System for Nanning Metro Line 4 Based on PHM Technology
type: item
description: As urban rail transit expands rapidly, the operation and maintenance of metro signal systems are crucial. Traditional methods face challenges, like relying too much on manual work and not predicting faults well. This study uses Prognostics and Health Management (PHM) technology to create Nanning Metro Line 4's signal intelligent operation and maintenance system. By carefully analyzing requirements, it details the system's design, including its architecture and working principle. It also covers technical implementation, such as how to collect and process data, monitor equipment, predict faults, and make maintenance decisions. The goal is to boost the operation and maintenance levels and efficiency, guarantee metro safety, and offer a model for other urban rail transit signal intelligent operation and maintenance projects.
subject: Article
  topic: section
subject: metro signal system
  topic: keywords
subject: intelligent operation and maintenance
  topic: keywords
subject: PHM technology
  topic: keywords
subject: fault prediction
  topic: keywords
subject: health diagnosis
  topic: keywords
creator: Yongqin Huang
creator: Guoyan Che
creator: Jianqiu Chen
creator: Guobin Gu
rights: Copyright (c) 2025 Yongqin Huang, Guoyan Che, Jianqiu Chen, Guobin Gu (Author)
date: 2025-03-31
publication date: 2025-03-31
starting page: 72
ending page: 79
doi: 10.71222/hr8cnw36

Study on Spring Festival Passenger Flow Forecasting of Rail Transit in South China Based on Optimized SARIMA Model--Taking Guilin City as an Example
type: item
description: In this study, the optimized SARIMA model is used to forecast the spring rail transit passenger flow in Guilin City in 2019-2025, and external factors such as GDP and mobile population are introduced to improve the forecasting accuracy. First, the data range is extended to 11 years to enhance the model learning ability and reduce the impact of epidemics. Subsequently, the SARIMA parameters are optimized using grid search and AIC criterion to ensure the optimal fitting effect, and the prediction stability is improved by error control strategy. The experimental results show that the optimized SARIMA model performs well in short-term prediction, and the prediction error decreases year by year. Based on the prediction results, strategies such as mobility management, ticket optimization and capacity allocation are proposed to alleviate the pressure of passenger flow during the Spring Festival. This study provides a scientific basis for rail transportation capacity planning, which is of great significance to improve the transportation efficiency during the Spring Festival.
subject: Article
  topic: section
subject: SARIMA model
  topic: keywords
subject: fassenger flow prediction
  topic: keywords
subject: Spring Festival travel rush
  topic: keywords
subject: time series forecasting
  topic: keywords
subject: transportation capacity optimization
  topic: keywords
creator: Xiang Wang
creator: Jianqiu Chen
creator: Xueyu Zhuge
creator: Guoyan Che
creator: Guobin Gu
rights: Copyright (c) 2025 Xiang Wang, Jianqiu Chen, Xueyu Zhuge, Guoyan Che, Guobin Gu (Author)
date: 2025-03-31
publication date: 2025-03-31
starting page: 65
ending page: 71
doi: 10.71222/rnr3nz20

Research on Intelligent Diagnosis of Faults in Four-Wire Turnout Control Circuits
type: item
description: This study aims to shorten the troubleshooting time of turnouts in urban rail transit through intelligent diagnosis methods. An intelligent diagnosis system for faults in four-wire turnout control circuits is designed by building an experimental environment, collecting and analyzing data, so as to improve the operating efficiency and safety of trains. The system is developed considering the current reliance on manual inspection in turnout circuit fault diagnosis, which has numerous drawbacks. It consists of multiple functional modules, such as user information management, fault sample data management, and more. By monitoring the action current of turnouts in real-time, it can accurately identify fault types like action circuit short-circuit and switch machine jamming. Through data analysis and comparison, it can precisely locate fault points and provide corresponding maintenance plans. Experimental results have verified its effectiveness in enhancing maintenance efficiency, thus ensuring the stable and safe operation of urban rail transit.
subject: Article
  topic: section
subject: operating efficienc
  topic: keywords
subject: track turnout
  topic: keywords
subject: fault diagnosis
  topic: keywords
subject: curve similarity
  topic: keywords
creator: Jianhao Xie
creator: Guoyan Che
creator: Jianqiu Chen
creator: Guobin Gu
rights: Copyright (c) 2025 Jianhao Xie, Guoyan Che, Jianqiu Chen, Guobin Gu (Author)
date: 2025-03-31
publication date: 2025-03-31
starting page: 59
ending page: 64
doi: 10.71222/sfdprb17

A Review of the Development and Future Trends of Downhole Electric Bypass Valves
type: item
description: Downhole electric bypass valves have undergone significant technological advancements, evolving from traditional mechanical systems to intelligent, automated solutions. This paper reviews the development history, key technologies, current applications, and future trends of downhole electric bypass valves. Key advancements in motor drive systems, high-temperature sealing, remote monitoring, and energy efficiency have greatly enhanced their performance and reliability in oil and gas extraction. Future developments will focus on AI-driven automation, advanced materials, energy harvesting, and real-time monitoring, ensuring improved operational efficiency and adaptability to extreme environments. These innovations will further expand the application of downhole electric bypass valves in deep-sea drilling, geothermal energy, and even space resource extraction.
subject: Article
  topic: section
subject: downhole electric bypass valve
  topic: keywords
subject: intelligent control
  topic: keywords
subject: remote monitoring
  topic: keywords
subject: AI-driven automation
  topic: keywords
subject: energy efficiency
  topic: keywords
subject: extreme environment applications
  topic: keywords
creator: Hong Zhan
creator: Chong Xie
rights: Copyright (c) 2025 Hong Zhan, Chong Xie (Author)
date: 2025-03-29
publication date: 2025-03-29
starting page: 50
ending page: 58
doi: 10.71222/5ranxy71

Electromagnetic Compatibility Design and Optimization Strategies for High-Frequency Ultrasonic Power Supplies
type: item
description: Electromagnetic compatibility (EMC) design of high-frequency ultrasonic power supplies is crucial for ensuring their performance and reliability. This review discusses common EMC design strategies for high-frequency ultrasonic power supplies, including shielding design, grounding and electromagnetic isolation, and layout optimization. Special emphasis is placed on the role of the three-stage EMI filter in reducing electromagnetic interference (EMI) and improving power supply performance. Through a detailed analysis of the filter design, its effectiveness in suppressing low, medium, and high-frequency noise is demonstrated. Additionally, the paper explores the application of novel materials and technologies for EMC optimization and looks ahead to future development trends.
subject: Article
  topic: section
subject: high-frequency ultrasonic power supply
  topic: keywords
subject: electromagnetic compatibility
  topic: keywords
subject: three-stage EMI filter
  topic: keywords
subject: electromagnetic interference
  topic: keywords
subject: filter design
  topic: keywords
creator: Zhen Liang
rights: Copyright (c) 2025 Zhen Liang (Author)
date: 2025-03-20
publication date: 2025-03-20
starting page: 40
ending page: 49
doi: 10.71222/e0y0wa54

Multi-Objective Design of Heat Sink Fins for Thermal Efficiency and Manufacturability
type: item
description: As power densities in modern electronics increase, efficient thermal management is essential. Conventional heat sink designs often fail to balance heat dissipation, airflow resistance, and manufacturability. This study proposes an AI-driven optimization framework, integrating deep reinforcement learning (DRL) and multi-objective genetic algorithms (MOGA), to refine fin geometries while ensuring fabrication feasibility. Unlike conventional methods, this approach incorporates additive manufacturing constraints, bridging the gap between computational optimization and real-world implementation. Validated through computational fluid dynamics (CFD) simulations and experimental fabrication, the optimized design achieved a 14.3% reduction in maximum temperature and a 32.8% decrease in thermal resistance, ensuring a more uniform temperature distribution. It also maintained stable cooling performance across airflow variations, confirming its adaptability. Manufacturability analysis revealed height deviations of up to 0.4 mm, which could affect airflow, while thickness deviations remained within ± 0.05 mm, indicating high precision. These results highlight the importance of integrating fabrication constraints early in the design process to ensure optimization benefits translate into practical performance. This study shows that AI-driven optimization can enhance heat sink efficiency and reliability, offering a scalable approach for high-power electronics. Future work should refine manufacturing compensation models and transient thermal analysis to further improve real-world applicability.
subject: Article
  topic: section
subject: heat sink optimization
  topic: keywords
subject: machine learning
  topic: keywords
subject: CFD
  topic: keywords
subject: manufacturing constraints
  topic: keywords
subject: thermal management
  topic: keywords
creator: James Robertson
creator: Emily Carter
creator: Michael Thompson
creator: Sarah White
rights: Copyright (c) 2025 James Robertson, Emily Carter, Michael Thompson, Sarah White (Author)
date: 2025-03-17
publication date: 2025-03-17
starting page: 32
ending page: 39
doi: 10.71222/1aqrg398

A Comparative Study of Infiltration Methods Based on the SWMM Model: Application of Horton and Green-Ampt Models in Drainage System Design in Northeast China
type: item
description: This study conducts a comparative analysis of infiltration methods in a region of Northeast China using the SWMM model, aiming to assess the impact of different infiltration models on drainage system design. We selected the Horton infiltration method and the Green-Ampt infiltration method, derived from soil properties, to simulate rainfall-runoff processes in various areas. The results show that while the Horton method is suitable for infiltration simulations under conventional conditions, the Green-Ampt method provides more accurate results in regions with significant soil variability, offering a better reflection of actual drainage performance. The study recommends that, for drainage system design, the choice of infiltration method should be based on local soil characteristics to ensure system efficiency and reliability.
subject: Article
  topic: section
subject: SWMM
  topic: keywords
subject: green-ampt
  topic: keywords
subject: horton method
  topic: keywords
subject: peat soil
  topic: keywords
creator: Mingyi Yue
creator: Xin Gao
rights: Copyright (c) 2025 Mingyi Yue, Xin Gao (Author)
date: 2025-02-26
publication date: 2025-02-26
starting page: 25
ending page: 31
doi: 10.71222/rry5ks79

Exploration of Strategies for Energy-Efficient Design in Architectural Planning Under the Concept of Green Buildings
type: item
description: The application of green energy-saving technology in building construction is becoming more and more widespread, and this trend not only responds to the tide of global sustainable development, but also meets the urgent needs of modern society for the environment and energy. With the rapid development of the construction industry, the problems of energy consumption and environmental pollution have become more and more prominent, and the introduction of green energy-saving technologies has become an inevitable choice. The application of technologies such as efficient energy-saving materials, renewable energy systems, intelligent construction management and resource recycling has greatly enhanced the environmental friendliness and economy of building construction. However, the promotion of these technologies still faces many challenges and requires joint efforts from both inside and outside the industry to realize a truly green transformation.
subject: Article
  topic: section
subject: green building
  topic: keywords
subject: building planning
  topic: keywords
subject: energy efficient design
  topic: keywords
subject: application strategies
  topic: keywords
creator: Qi Liu
creator: Rina Abdul Shukor
creator: Yanan Jiang
rights: Copyright (c) 2025 Qi Liu, Rina Abdul Shukor, Yanan Jiang (Author)
date: 2025-02-06
publication date: 2025-02-06
starting page: 17
ending page: 24
doi: 10.71222/d1myk083

Adapting Architecture to Climate: Exploring Climate-Responsive Strategies Across U.S. Cities
type: item
description: As energy consumption concerns continue to grow in the built environment, there is an increasing demand for design solutions that are responsive to local climate conditions. This study conducts an in-depth examination of the climate profiles of twelve U.S. cities, categorized according to the Köppen climate classification system, utilizing a parametric platform to assess suitable passive design strategies. By evaluating the effectiveness of different passive approaches across diverse climate zones, this paper provides actionable recommendations for incorporating climate-responsive design principles in architecture. The research establishes theoretical models that connect climatic variables with corresponding passive design techniques, thereby contributing to the evolution of passive design theory. Through this, the study advocates for a data-driven, climate-sensitive methodology that aligns with the growing emphasis on sustainability in modern architecture.
subject: Article
  topic: section
subject: climate-adaptive design
  topic: keywords
subject: Köppen climate system
  topic: keywords
subject: Givoni’s psychrometric diagram
  topic: keywords
subject: parametric framework
  topic: keywords
creator: Xinzhi Chang
rights: Copyright (c) 2025 Xinzhi Chang (Author)
date: 2025-01-17
publication date: 2025-01-17
starting page: 1
ending page: 16
doi: 10.71222/qca5ng14